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1	Biomedical Engineering	ABS-5
SpO2 and BPM Monitoring System Using Blynk Application Desak Ketut Sutiari (a*), Laode Sahlan Zulfadlih (a), Muhammad Sainal Abidin (a), Rudi Kiazhara (a) Wayan Somayasaa (b) a) electromedical technology, University of Mandala Waluya Jl. Jend. AH. Nasution, Kota Kendari, Indonesia *sutiaridesak[at]gmail.com b)Departemen of mathematic Haluoleo University Anduonohu, Kec. Kambu, Kota Kendari, Indonesia Abstract An effort to avoid the transmission of the covid-19 virus and other infectious diseases during the pandemic continues to be developed. For patients infected with Covid-19, keeping their oxygen saturation and heart rate together at all times is very important. Generally monitoring of SpO2 and heart rate is done manually, so it takes continuous time by health workers. In this research, a device is designed that can unite SpO2 in blood and heart rate using the Blynk application. Measurement results can be monitored via the LCD and android. Android-based measurements can reduce the risk of health workers contracting the virus and information about patients can be monitored more quickly. This system is designed using NodeMCU Esp8266 as a microcontroller and a Max30100 sensor as a detector of oxygen levels and BPM. Data transmission comes from multiple tools in one application. The measurement results show that the data can be monitored with the value listed on the android the same as the value on the LCD. Keywords: NodeMCU Esp8266, Blynk application, Max30100 sensor, IoT Share Link | Plain Format | Corresponding Author (Desak Ketut Sutiari)

2	Biomedical Engineering	ABS-16
Biosynthesis and Characterization of ZnO Nanoparticles Using Ketapang Leaf Extract Yanuar Hamzah, Annisa Febiola, Lazuardi, Salomo Jurusan Fisika FMIPA Universitas Riau Abstract The process of biosynthesis and characterization of ZnO nanoparticles using Ketapang leaf extract to degrade methylene blue has been successfully carried out. ZnO nanoparticles were formed through a synthesis process between a 0.05 M solution of Zn(NO3)26H2O with Ketapang leaf extract. The synthesis was carried out with variations in temperature, namely 60C, 70C and 80C then dripped with 1M NaOH solution until it reached pH 12. The absorbance intensity of nanoparticles for each sample based on the UV-Vis Spectrophotometer test, respectively, was 1.479, 1.099 and 1.016. The sample with the highest absorbance intensity (A) was tested by X-Ray Diffraction, it is known that the particle size ranges from 9.04 to 25.31 nm. SEM characterization showed the presence of micro-flower morphology with a size distribution of 392 to 423 nm. The TEM characterization showed a particle size distribution between 230 to 259 nm with an average particle diameter of 241.6 nm. The degradation activity of 25 ppm methylene blue solution with variations in contact time of 0, 30, 60, 90, 120, 150 and 180 minutes resulted in a degradation efficiency of 8.4%, 12.7%, 23%, 26%, 27%, and 33%. Keywords: ZnO Nanoparticles, Terminalia Catappa Leaves, Methylene Blue, UV- Vis, XRD, SEM, TEM Share Link | Plain Format | Corresponding Author (Lazuardi Umar)

3	Biomedical Engineering	ABS-43
Quantitative Comparison of Electroencephalography Systems Based on Measurement Results Between Medical and Wireless Consumers Devices Syaukha Ahmad Risyad, Galih Restu Fardian Suwandi, Siti Nurul Khotimah, Freddy Haryanto Nuclear Physics and Biophysics Research Group, Department of Physics, Faculty of Mathematics and Natural Sciences, Instutut Teknologi Bandung, Indonesia Abstract Electroencephalography is a recording technique for human brain^s electrical activity by the help of metal electrodes on the surface of the scalp. Electroencephalography devices record electrical analogue signal from the subject, subsequently convert it into a digital representation. This research was conducted to assess Emotiv EPOCX recording quality, by quantitatively comparing the recordings of Emotiv EPOCX with the recordings of Neuron-Spectrum-63, as a medical electroencephalography device. Recording data from Neuron-Spectrum-63 and Emotiv EPOCX were obtained from 16 male subjects in age 19-23 years old. Recording for both devices were done sequentially with similar methods of recording. The recording for Emotiv EPOCX was conducted first. Throughout the recording, subjects were asked to sit on a chair with closed and opened eyes for 30 seconds each. Subsequently, subjects took a verbal memory test. This research compared following parameters: peak PSD, FWHM from PSD, IPAF, IPAF shift, and absolute IPAF shift. Based on mentioned parameters, p-value, standard error, mean absolute percentage error (MAPE), and mean squared error (MSE) were also obtained. Based on IPAF, IPAF shift, and absolute IPAF shift results, it was concluded that Emotiv EPOCX was capable in reading EEG signals against time well. However, based on FWHM results, the quality of the EEG signals reading against time by Emotiv EPOCX was not as good as the reading by NeuronSpectrum-63. Based on PSD and FWHM results, it was concluded that Emotiv EPOCX was not capable in reading EEG signal amplitudes well compared to medical device. Keywords: Electroencephalography, consumer grade, medical grade, Share Link | Plain Format | Corresponding Author (Galih RF Suwandi)

4	Industry 4.0	ABS-10
Design and build a monitoring system for the distribution of breast milk containers based on IoT Muhammad Sainal Abidin (a), Laode Sahlan Zulfadlih (b), Laode Hasnuddin (c) a. Mandala waluya University, jalan A.H Nasution no G-37, kendari. Inodensia *sainalxp2[at]gmail.com b. Mandala waluya University, jalan A.H Nasution no G-37, kendari. Inodensia *alanz.laode[at]gmail.com c. unversitas sebelas november, kolaka, indonesia *hasnuddin.sagala[at]gmail.com Abstract Breastfeeding is very important for the baby^s growth. However, this can be constrained when the mother and baby are separated which can be caused because the mother of the baby has to work. The method that can be done is to distribute breast milk that has been expressed and then put into a special bottle. However, in the distribution process, the condition of breast milk must always be monitored both from its temperature and humidity so that the quality of the mother^s milk that reaches the baby is maintained. In addition, in the distribution process from the location of the container, it must always be monitored so that the distribution process is carried out in accordance with the delivery destination. With these problems, the container used can be equipped with a DHT22 sensor that can measure temperature and humidity as well as a GPS system to be able to monitor the position of the container. For data transmission, the results of sensor measurements and location coordinates are used by the internet of tings (IoT) system. By using the IoT system, the sensor measurement results can be seen on a smartphone using the blynk application and the location coordinates can be displayed on a map. For a control system capable of connecting the system to the internet, nodeMCU esp8266 is used by completing the system with a WIFI modem for system needs to access the internet network. Thus, the condition of the container for storing breast milk in terms of temperature, humidity, and location during the distribution process will continue to be monitored online with the IoT method connected to a smartphone. Keywords: NodeMCU ESP8266, IoT, Breast Milk Share Link | Plain Format | Corresponding Author (Muhammad Sainal Abidin)

5	Industry 4.0	ABS-30
Implementation of K-Nearest Neighbors Algorithm for Energy Disaggregation Based on Internet Of Things Inayatul Inayah (a*), Nofri Ermasari (b), Maman Budiman (b), Nina Siti Aminah (b) (a) Faculty of Science and Technology, Nahdlatul Ulama Institute of Technology and Science Pekalongan Jalan Karangdowo 09, Pekalongan, 51173, Indonesia *inayatul.inayah94[at]gmail.com (b) Faculty of Math and Science, Bandung Institute of Technology Abstract The increase of word energy consumption is not equal to the amount of energy available. Meanwhile, the availability of fossil energy cannot be renewed and will be depleted by continuous exploration, which will cause an energy crisis. One solution to overcoming the energy crisis is by saving energy, including doing energy management. Energy savings are also more effective if users are involved. Users need power consumption information to save energy. By using smart meters, users will be able to monitor the load consumption of each appliance. In this study, the author offers a way of energy management by disaggregating electrical energy. The author uses the concept of Internet of Things (IoT) in a disaggregation system that is built to communicate between devices, storage, and analytical data. In this study, we obtained a load dataset of five incandescent lamps with different power. The machine learning model used is the K-Nearest Neighbors (KNN) algorithm with the Menkowski metric parameter and the number of closest neighbors (k) is 13. The result is all the activities of the five predicted lamps are the same as the actual lamp activity. This means that the KNN algoritm that was built on disaggregation has 100% of accuracy. Keywords: Energy management, Load disaggregation, IoT, Analytical data, KNN Share Link | Plain Format | Corresponding Author (Inayatul Inayah)

6	Industry 4.0	ABS-35
Augmented Reality Climate Change (AR-CC) for Physics Learning in High Schools Ubed Alizkan (a*), Firmanul Catur Wibowo (a), Sunaryo (a) (a) Department of Physics Education, Universitas of Negeri Jakarta Jl. Rawamangun Muka, Jakarta 13220, Indonesia *ubedalizkan[at]gmail.com Abstract This study aims to produce ^Augmented Reality Climate Change (AR-CC)^ as a medium for physics learning for Climate Change in high school. The method used in this study is the Research and Development method with the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). AR-CC was developed to make it easier for students to learn the concept of climate change. AR-CC can display five 3D simulations, including 3D simulations of greenhouse effect processes, ozone depletion, acid rain, El-Nino and La-Nina phenomena. In addition to AR, in this study, a worksheet was also developed to guide student learning activities and valuable as a marker. The results of product validation covering the material and media aspects got a very good average score (85% and 90%). Based on the results of the expert validation test, it can be concluded that AR-CC is suitable for use as a medium for learning physics in high school. Keywords: Augmented reality, Climate change, Physics learning. Share Link | Plain Format | Corresponding Author (Ubed Alizkan)

7	Industry 4.0	ABS-39
Factor Analysis of Intention to Adopt an Online Fish Auction System Bayu Nur Abdallah, Anak Agung Ngurah Perwira Redi, Erni Selviyanti Ulfa, Annisya Nur Oktavian, Muqimuddin, Haryo Triajie, La Ode M. Aslan Department of Digital Business, Kalimantan Institute of Technology, East Kalimantan, Indonesia- Department of Industrial Engineering, Sampoerna University, Jakarta, Indonesia- Department of Industrial Engineering, Kalimantan Institute of Technology, East Kalimantan, Indonesia- Department of Aquaculture, Trunojoyo University, Madura, Indonesia- Department of Aquaculture, Faculty of Fisheries and Marine Science, Halu Oleo University, Kendari, Indonesia- Abstract The COVID-19 Pandemic has held back the growth of the fisheries sector in Indonesia, especially in its upstream supply chain. However, this is not applied to the downstream chain in which the demand is growing. These demands include consumption through digitalization. The digital platform that are emerging everyday are on their way to disrupt nearly all the areas of traditional business processes. Perishable products, including fishery products, have been one of the commodities that grab the market attention on the e-commerce platform. However, due to the long and complex fishery products^ supply chain, many problems were faced by suppliers and the customer of this perishable product. Thus, the availability, high quality, and competitive price of fishery products on the platform might be difficult and highly dependent on the supplier. One of the solutions proposed in digital supply chain is reducing the supply chain^s complexity. One example is proposing an online fish auction system. Online fish auction systems can provide the customer direct access to the upstream of the supply chain. Despite many benefits that are potentially gained by the solution, it is not yet clear how the customer would prefer these new technologies ideas to be implemented. Therefore, this study proposed a multivariate statistical technique to investigate consumer behaviour. This study developed a framework that combined the unified theory of acceptance and use of technology 2 (UTAUT-2) and the theory of planned behaviour (TPB) to analyze the factor affecting the intention of customers to adopt an online fish auction system. This study has successfully developed the model, including several indicators for measuring the latent variable. Further study would implement the model and generate the survey to have conclusive results. Keywords: Online Fish Auction, Structural Equation Modeling, UTAUT-2, TPB Share Link | Plain Format | Corresponding Author (Anak Agung Ngurah Perwira Redi)

8	Industry 4.0	ABS-41
CLUSTERING OF REGIONS WITH POTENTIAL FOR A TSUNAMI IN INDONESIA USING THE DBSCAN METHOD (DATA STUDY FOR 1822-2022) Melany Febrina, Avisena Department of Physics, Institut Teknologi Sumatera Abstract Geographically, Indonesia is an archipelagic country that has a long coastline. Many community activities are carried out in coastal areas, especially coastal communities. Tsunami is one of the risks of natural disasters that can occur in the area. This study aims to classify areas prone to tsunamis and classify their characteristics. The variables in this study are longitude, latitude, focal depth, and earthquake magnitude. In this study, Density-Based Spatial Clustering of Application with Noise (DBSCAN) and OPTICS algorithms were used to group tsunami datasets. To test the quality of the model, the silhouette score calculation method was used. The results of DBSCAN clustering with =1.9 and MinPts=3 obtained 9 clusters with a silhouette score of 0.378835. Meanwhile, the OPTICS clustering method with =1.9 and MinPts=3 obtained 18 clusters with a silhouette score of 0.242401. Keywords: DBSCAN, OPTICS, tsunami clustering, MinPts, silhouette score Share Link | Plain Format | Corresponding Author (Melany Febrina)

9	Industry 4.0	ABS-48
A Self-Construction Automatic Crescent Sighting Detection With Harr - Cascade Classifier Using Adaboost Algoritm and Support Vector Machine Robiatul Muztaba (a*,b,e), Hakim L. Malasan (b,c,e), Mitra Djamal (d) a) Doctoral Program in Astronomy, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesha No.10, Bandung 40132, Indonesia b) Departement of Atmospheric & Planetary Sciences, Faculty of Science, Institut Teknologi Sumatera, Lampung 35365, Indonesia c) Department of Astronomy, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung 40132, Indonesia d) Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, 40132, Indonesia e) Observatorium Astronomy ITERA Lampung (OAIL), Institut Teknologi Sumatera, Lampung 35365, Indonesia Abstract The automatic detection method using computer vision applied to the crescent moon is a novel concept that will be further developed. This will be highly useful for observers during the process of observing the crescent visibility. This paper proposes a method for high-performance crescent detection based on visual attention mechanism and AdaBoost cascade classifier. Our method constructs the structural Haar features and extracts the features of samples using structural Haar features and trains an AdaBoost cascade classifier. Then we use the visual attention mechanism to extract the target candidate region. At last, we generate detecting sub-windows in the candidate region and discriminate them with the cascade classifier to realize crescent detection. The results obtained have proven excellent detection performance not only when the crescent is visible in front of the camera but also when the crescent is partially covered by clouds. In addition, our approach can be applied during real-time experiences. Keywords: Automatic Detection- Crescent Moon- Computer Vision Share Link | Plain Format | Corresponding Author (Robiatul Muztaba)

10	Signal Processing and Communication	ABS-1
A Review of Routing Techniques in Location Source Privacy for Wireless Sensor Network Yeni Yanti (a), Nasaruddin Nasaruddin(b*), Yuwaldi Away(b), Teuku Yuliar Arif (b) a) Doctoral Program, School of Engineering, Syiah Kuala University, Darussalam Banda Aceh, Indonesia, 23111 b) Department of Electrical and Computer Engineering, Syiah Kuala University, Banda Aceh, Indonesia, 23111 *nasaruddin[at]unsyiah.ac.id a) Department Engineering Department, Faculty of Engineering, Serambi Mekkah University, Banda Aceh, Indonesia, 23245 Abstract In a wireless sensor network context, a wireless sensor network (WSN) is a collection of sensor nodes made up of small nodes with minimal energy resources and powered solely by batteries. Sensor nodes that collaborate in large-scale area networks with limited energy and unsupervised situations, as well as poor security. Sensor node communication becomes vulnerable, and attackers use various methods to gather information about the location of the transmission packet^s originating route. The WSN research community has taken notice of this issue. In order to protect and prevent attackers from finding the route of the source of packet delivery, the Location Source Privacy Scheme (LSP) was implemented. The LSP system employs a variety of routing mechanisms to shield the location of the route source transmitting packets from various types of attacks. In addition, because WSN energy sources are limited, the LSP routing approach is employed to reduce energy consumption. We present an in-depth assessment of current research on LSP routing strategies as route security currently utilized for WSNs in this paper, as well as some future perspectives that are still being developed Keywords: Location source privacy- wireless sensor network- routing technique- transmission packet- attack Share Link | Plain Format | Corresponding Author (Yeni Yanti)

11	Signal Processing and Communication	ABS-4
Application of YOLOv5s Algorithm for Real-Time Object Detection in Mobile Robot for Volcano Monitoring System Maria Evita, Sekar Tanjung Mustikawati, Mitra Djamal ITB Abstract Indonesia, a county with 172 volcanoes and second after Japan for the most eruption event, should monitor and predict the volcano eruption to prevent the effect of this natural disaster. Therefore, we have developed a 4-wheeled mobile robot equipped with monitoring sensors and a Logitech camera for this purpose. The robot should have the ability to detect objects in this extreme environment to avoid collision while moving and monitoring the volcano^s physical parameters. It has been designed a deep machine learning of YOLOv5s algorithm for two objects mostly found at volcano such as trees and stones. After training steps (object identification- dataset downloading (Google Chrome Extension and Open Images v6)- image labelling (LabeImg)- augmentation process (blur and rotation)) had been carried out, the images of the object then be trained in three model variation which resulted in: mAP_0.5 = 51.9%, mAP_0.5:0.95 = 28.6%, 58% of precision and 50% recall with 12 minutes and 33 second of training time for first model (batch=16 and epochs=100)- mAP_0.5 = 59.7%, mAP_0.5:0.95 = 36.6%, 74% of precision and 54% recall with 36 minutes and 4 second of training time for the second model (batch=16 and epochs=300)- mAP_0.5 = 59.9%, mAP_0.5:0.95 = 37.6%, 80% of precision and 55% recall with one hour and 25 second of training time for the last one (batch=16 and epochs=500) as the best model of these variations. Furthermore, these result were displayed for all test images for the best model. Keywords: mobile robot, object detection, volcano monitoring system, YOLO, deep machine learning Share Link | Plain Format | Corresponding Author (Maria Evita)

12	Signal Processing and Communication	ABS-7
The use of the Internet of Things in the Intelligence operation of the Modern era Syarifurohmat Pratama Santoso (a)*, Richard Togaranta Ginting (b), Fransiska Timoria Samosir (c), Dian Sari (d), Majidah (e) (a) Indonesian National Armed Forced, Jakarta, Indonesia (b) Library and Information Science, Udayana University, Bali, Indonesia (c) Library and Information Science, Bengkulu University, Bengkulu, Indonesia (d) Informatics Science, Indraprasta PGRI University, Jakarta, Indonesia (e) Library and Information Science, Terbuka University, Indonesia Abstract Internet of Things (IoT) is currently one of the systems that are developing in the world. Not only in the private sector, but the Government through its intelligence has also taken advantage of this system. This system will assist intelligence in carrying out its functions including investigation, security, and operation. In international intelligence, IoT has become a very helpful tool for their task. Easily cross state borders, with the help of this tool, state intelligence is very easy to get data from other countries. This is reinforced because, in the modern cyber era, most of the data stored around the world has been in digital form. This research tries to look for a new perspective and compare data in the form of papers, news pieces, and articles on research topics, books, and journals. It is hoped that the research can help practitioners and academics in the field of security and intelligence to understand more about the use of IoT in today^s modern era of intelligence Keywords: Internet of Things, Intelligence, Security, Operation, National Interest Share Link | Plain Format | Corresponding Author (Syarifurohmat Pratama Santoso)

13	Signal Processing and Communication	ABS-36
Initial Design of IoT-Based Earthquake Intensitymeter Using MMI Scale with Smartphone Display Alwi Nofriandi, Yulkifli, Rahmat Triyono, Washilla Audia, Totop Gabe, Nur Anisa Sati^at, Theja Lufiandi R 1) Department of Physics, Faculty of Mathematics and Science, Universitas Negeri Padang 25131, West Sumatra, Indonesia 2) Head of Center for Engineering Seismology, Potential Geophysics, and Time Signatures, BMKG Abstract Indonesia is one of the countries geographically located in the ring of fire zone which causes frequent earthquakes. Earthquakes are natural disasters that cannot be predicted when they occur. The lack of development of digital tools for earthquake mitigation in the community causes losses in material terms and casualties are always high. Therefore, the author designed an earthquake mitigation tool that can run accurately and at an affordable manufacturing cost. This tool is created using the MPU-6050 accelerometer sensor which functions as an earthquake movement detector, the output produced by the sensor is in the form of an acceleration value from ground movement. The readable value will be converted into gal units so that the readable data is compared to the MMI scale. System testing is carried out by providing different treatments to the system in the form of 10 load variations by dropping the load with a load fall distance from the system, which is 40 cm. The readable data can be seen in the smartphone application with features in the form of a graph of ground acceleration movements and real-time data that can be accessed on a self-designed web server. Keywords: Intensitymeter, Earthquake, IoT, MMI Scale , Smartphone. Share Link | Plain Format | Corresponding Author (Alwi Nofriandi)

14	Signal Processing and Communication	ABS-38
Quality Levels Classification of Indonesian Black Tea using Electronic Nose Sensory System Coupled with Ensemble Learning Method Kombo Kombo (a), Shidiq Nur Hidayat (ab), Trisna Julian (b), Wahyono (c), Kuwat Triyana (a*) (a) Department of Physics, Universitas Gadjah Mada, Sekip Utara BLS 21, 55281 Yogyakarta, Indonesia *triyana[at]ugm.ac.id (b) PT Nanosense Instrument Indonesia, Umbulharjo, 55167 Yogyakarta, Indonesia (c) Department of Computer Science and Electronics, Universitas Gadjah Mada, Sekip Utara BLS 21, 55281 Yogyakarta, Indonesia Abstract Aroma is considered to be the most important attribute for tea quality determination. In this work, an ensemble learning classifier was proposed to classify the quality levels of Indonesian black tea using an electronic nose sensory system. Four machine learning techniques, namely quadratic discriminant analysis (QDA), extreme gradient boost (XGBoost), k-nearest neighbor (k-NN), and support vector machine with radial basis function (SVMRBF) kernel are used as base classifiers in the ensemble classifier. All incorporated base classifiers and the final outcome of the ensemble model are being compared against several performance metrics namely accuracy, area under the curve score, recall, precision, and F1-score for the classification of black tea quality levels. The experimental results showed that the ensemble model achieve the best performance with the training and testing accuracy results of 100% and 98% respectively which is a noticeable improvement compared to the basic learners. The overall results demonstrated that E-nose sensory system combined with the ensemble learning-based method can improve the efficiency of discriminating black tea quality levels. Keywords: Aroma, Ensemble learning classifier, Accuracy, Area under the curve, Recall, Precision Share Link | Plain Format | Corresponding Author (Kombo Othman Kombo)

15	System and Applications	ABS-14
Design of Immersive Information Simulation of Negative Pressure Isolation Room for Covid-19 Infection Patients Using Virtual Reality Suhendi (a*), Reza Maulana (a) (a) Nurul Fikri College of Technology *suhendi[at]nurulfikri.ac.id Abstract The COVID-19 pandemic, which is still ongoing in 2022, has an impact negative aspect of reduced human activities. All activities are many done online. This presents a challenge for researchers to provide ideas new to create innovative technology to help society and government. Room Negative pressure isolation is one solution to provide effective patient care better. This is done to prevent the uncontrolled spread of the virus. Only It^s just that creating a negative pressure isolation room requires an understanding of very strict room requirements and air circulation requirements so that air circulation from the isolation room does not mix with general patients or medical personnel. To provide knowledge about how to make and circulation requirements Negative pressure isolation room air is very expensive when practiced directly because it requires the cost of procurement of space and equipment. By using virtual reality technology (VR) then the problem can be solved because VR can provide an immersive environment that it^s like being in the real world. VR users will be able to feel how the requirements and how to create negative pressure isolation room-like feeling in the real world. So that this can provide information and train how to make a pressurized isolation room negative before making the actual isolation room. Activities using this VR will reduce the risk of errors and the cost of training on how to make an isolation room even with no equipment costs. The purpose of this study is to provide convenience for health extension workers and the government on how to make a negative pressure isolation room and requirements air circulation. So, it is enough to use VR technology, so information on how to use VR is enough to make the isolation room and its requirements work without having to use the right tools actually. This research method is descriptive and quantitative which begins with a literature review followed by an analysis of the needs of the isolation room and the VR immersive environment. The next VR design is done. The implementation and testing process resulted that VR technology can help understand negative pressure isolation rooms for health educators. Keywords: Space- Covid-19 Isolation- VR- Immersive- simulation Share Link | Plain Format | Corresponding Author (Suhendi Suhendi)

16	System and Applications	ABS-15
Design of Elasticity Coefficient Apparatus Based on Measuring Time of Photodiode and Vibration Sensor Septia Dini Yardi, Rahmondia N. Setiadi, Vira A. Rosadi, Yanuar, Lazuardi Jurusan Fisika FMIPA Universitas Riau Jl. Prof. Muchtar Lutfhi Pekanbaru, 28293, Indonesia Abstract Collision events are very often encountered in everyday life, one of which is a falling ball. The ball collides with the reflecting plane at a slower speed than when it fell and in the opposite direction. The speed ratio of the ball after and before the collision is known as the coefficient of restitution (e) which describes the elasticity of the collision and affects the ball^s bounce height, bounce time, and bounce duration. This study aims to design a collision experiment apparatus that can investigate the ball^s bounce height, bounce time, and bounce duration used to determine the coefficient of restitution. A prototype is made of a PVC cylinder with a diameter of 110 mm and 100 cm in height, which is then perforated on the wall surface to minimize the air friction in the tube. The prototype stand is equipped with a tray to replace the reflective material, while two photodiode sensors are installed on the tube with a reflective system to detect the light reflection on the falling object. To validate the time measurement, a vibration sensor is mounted on the floor which detects the bouncing ball. The apparatus is activated through an actuator that simultaneously turns on all sensors to produce accurate measurements. When the test object is dropped, the timer starts counting as the object passes through the first and second photodiode sensor, and also when it hits the floor. The results show that the restitution coefficient of the ball in various reflecting planes is agreed with the theory (0 &#8804- e &#8804- 1) and e is positive linear with the bounce height (h), the time of each bounce (t), and the duration of the bounce (ttotal). Keywords: Collision- straight line- coefficient of restitution- photodiode sensors- vibration sensor Share Link | Plain Format | Corresponding Author (Lazuardi Umar)

17	System and Applications	ABS-17
The Design of Liquid Refill Station for Dish Soap Product Based on Internet of Things Aminah Nurrahmawati(a), Mitra Djamal(a), and Nina Siti Aminah(a*) a) Department of Physics, Institut Teknologi Bandung, Bandung, Indonesia *nina[at]itb.ac.id Abstract The abundant of plastic waste which come from sanitation products such as dish soap has been being a big problem so far. Therefore liquid refill station for dish soap product has been designed which aims to reduce plastic waste from dish soap containers. The tool works equipped with 2 pumps and a water flow sensor. So that customers can choose the volume and type of dish soap they want to buy from the 2 available brands. The selection of the brand and volume of dish soap is done by pressing the preset keypad character. Payment for product purchases is made using Near Field Communication (NFC) reader PN5322 technology and a Mifare card. With this Mifare card, customers can also top up their balance for payment. Data processing uses Arduino Mega 2560 which is connected serially with RaspberryPi 3 B as a mini computer to run the entire program. All purchase data in the form of customer ID, brand of laundry soap purchased, volume of laundry soap purchased and date of purchase and remaining volume in the tank are sent to the MySQL database via the NodeRED platform which has been installed on the Raspberry Pi 3B and connected to the Arduino Mega 2560. the residual volume in the tank is monitored and displayed on the Grafana dashboard. The time-out of dish soap volume in the tank is predicted using linear regression. With the independent variable in the form of time (days) of purchase and the dependent variable in the form of the remaining volume of dish soap on the tank. Prediction uses training data taken from the remaining volume data in the tank when it is first filled until it is first used up. From the training data, it was found that the coefficient of determination R2= 0.99 for the first and second brands. Keywords: liquid refill station- Raspberry Pi 3- NodeRED- Grafana- linear regression Share Link | Plain Format | Corresponding Author (Nina Aminah)

18	System and Applications	ABS-19
Temperature Instrumentation System for the Phase Change Experiment of NaNO3, KNO3, and their Mixtures Duwi Hariyanto(1)(3)(a), Sidik Permana(1)(2)(b), Abdul Waris(1)(2), and Asril Pramutadi Andi Mustari(1)(2) (1)Nuclear Physics and Biophysics Research Division, Physics Department, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung, Indonesia (2)Nuclear Science and Engineering Department, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung, Indonesia (3)Instrumentation and Automation Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (a)duwi.hariyanto[at]ia.itera.ac.id (b)Corresponding author: psidik[at]fi.itb.ac.id Abstract Measurement instrumentation is crucial in carrying out experiments to obtain data in explaining phenomena that occur quantitatively. Recently, the phase transition study of materials has attracted researchers because phase change materials can be used as a medium for both cooling and heat storage in several types of energy generation. This study aimed to find out experimentally the characteristics of the phase change material using a temperature instrumentation system. The temperature instrumentation system was designed using a microcontroller and a K-type thermocouple sensor integrated with the Wiznet W5100 module as a converter protocol. XAMPP software was used as a server that handles temperature data recording in the experiment. The temperature of the salt including NaNO3, KNO3, and its mixture placed in the apparatus in the form of a stainless steel pipe wrapped with nichrome wire was measured using the temperature instrumentation system. In this case, a 6 meter long nichrome wire connected to an adjustable AC voltage regulator used as a heat source in the experiment. The experimental results showed that the temperature measured by the thermocouple could describe the melting temperature characteristics of each material according to the existing reference. The material with the highest melting temperature was KNO3 while the lowest was a eutectic mixture of NaNO3 and KNO3. Keywords: molten salt, K-type thermocouple, microcontroller, nichrome wire, database server Share Link | Plain Format | Corresponding Author (Duwi Hariyanto)

19	System and Applications	ABS-25
System Integration Massive Online Simulation (MOS) of Thermodynamics for Increasing Scientific Communication Firmanul Catur Wibowo1, Mega Aulia Lestari1, Binar Kurnia Prahani2, Dina Rahmi Darman3, Nur Jahan Ahmad4 1Universitas Negeri Jakarta, Jakarta, Indonesia 2Universitas Negeri Surabaya, Surabaya, Indonesia 3Universitas Sultan Ageng Tirtayasa, Serang, Indonesia 4School of Educational Studies, Universiti Sains Malaysia Abstract Thermodynamics is part of an important concept in understanding the concept of physics and the results of preliminary studies conducted by research show that the ability of scientific communication in the category is very low. The purpose of this study was to develop a Massive Online Simulation (MOS) Integration system of Thermodynamics for Increasing Scientific Communication. FODEM was chosen in developing the MOS media consisting of three related components (1) needs analysis, (2) implementation, (3) formative evaluation. The results of the MOS research that have been developed on thermodynamic material are effectively used in physics learning media and are based on N-gain calculations with an increase of 0.67 (medium category). These results indicate that MOS has been successfully developed and is effective in improving students^ scientific communication on the concept of thermodynamics. Keywords: System Integration, Massive Online Simulation (MOS), Thermodynamics, Scientific Communication. Share Link | Plain Format | Corresponding Author (Firmanul Catur Wibowo)

20	System and Applications	ABS-26
System Integration of Thermal Expansion Virtual Laboratory (TEVL) for microscopic unveil of concepts Dina Rahmi Darman, Andi Suhandi, Ida Kaniawati, Achmad Samsudin, Firmanul Catur Wibowo Universitas pendidikan Indonesia Universitas Sultan Ageng Tirtayasa Universitas Negeri Jakarta Abstract Microscopic expansion is the vibration and rotation of the constituent atomic movements caused by the input heat so that the heat of the object expands in all directions. The expansion process causes an increase in length with a very small order and is difficult to observe through real practice. Developing an integrated system in the form of a virtual laboratory that can assist lecturers and teachers in teaching expansion material through investigation is the goal of research. research design and research development (DDR) with the ADDIE model was chosen in this study. The results of the research resulted in the design of a thermal expansion virtual laboratory integration system. The results of the virtual laboratory thermal expansion system can show up to a microscopic scale change in the form of an increase in length from the expansion process. The design consists of providing tools and materials virtually, practicum design, and data collection, and visualization of thermal expansion microscopically and graphically. Keywords: System Integration, Thermal Expansion Virtual Laboratory (TEVL), microscopic unveil of concepts Share Link | Plain Format | Corresponding Author (Dina Rahmi Darman)

21	System and Applications	ABS-27
Characterization of PVT-Based Scintillation Detector as a Low-Cost Early Detection Feature in Nuclear Reactor Safety Systems Imam Ghazali Yasmint, Sidik Permana, Rasito Tursinah, Amila Amatullah, Ismail Humolungo and Marisa Variastuti Bandung Institute of Technology Abstract The safety system for nuclear reactors continues to improve along with the development of the use of nuclear reactors as power generators. Likewise, early detection features in nuclear reactors are constantly evolving to produce the most optimum detectors. The increase in gamma radiation is one of the signs in the safety system of nuclear reactors so that the evolution of the detector refers to the gamma radiation detector. One consequence of the evolution of this detector is the production of detectors that have excellent capabilities but are very expensive. Plastic with the type of Poly Vinyl Toluene (PVT) can be used as a gamma detector and has a low cost. In this study, the possibility of using PVT-based scintillation detectors as an option for low-cost early detection features in nuclear reactor safety systems will be studied. The study was carried out by characterizing PVT-based scintillation detectors and then comparing them with commercial detectors. The parameter that is the main focus of this research is the efficiency of the detector. Keywords: Efficiency, Gamma Radiation, Plastic Scintillator, PVT, Scintillation Detector Share Link | Plain Format | Corresponding Author (Imam Ghazali Yasmint)

22	System and Applications	ABS-28
Mappping Natural Radiation Dose Rate Using NaI(Tl) Scintilator and Geiger Muller in High Natural Background Radiation Areas: Study Case in Mamuju Regency, West Sulawesi Adi R.A.Abdullah (a), Sidik Permana (a,b,c,d), Wahyu Srigutomo (d), Alan Maulana (e), Haryo Seno (e), Rakotovao L. Omega(a), Ismail Humolungo (b), Fungki I. Nasyidiyah(b), Zulfahmi (c), Frafti Rejeki (c), Rahmi Ezlufiah (c) a. Doctoral Program in Nuclear Engineering Department, Institut Teknlogi Bandung, Jl. Ganesha No. 10, Bandung, Indonesia. b. Master Program in Nuclear Science and Engineering Department, Institut Teknlogi Bandung, Jl. Ganesha No. 10, Bandung, Indonesia. c. Master Program in Physics of Teaching, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung, Indonesia. d. Physics Department, Institut Teknologi Bandung, Indonesia. e. Badan Riset dan Inovasi Nasional, Jl. Tamansari No. 71, Bandung, Indonesia. Abstract NaI(Tl) Scintilator and Geiger Muller are two tools commonly used to detect radiation levels associated with radioactive materials. Both have different ways of working, where the NaI(TL) Scintilator is used to detect gamma radiation while Geiger Muller can detect alpha, beta, and gamma radiation simultaneously. These two tools are used in measuring natural radiation in Mamuju Regency, West Sulawesi, which is the area with the highest natural radiation level in Indonesia. Random Systematic Technique is used in data acquisition, where the design for taking the measuring points uses a gridding system with a size of 2 x 2 km2. The data shows that the average value of the natural radiation dose rate measured by the NaI(Tl) Scintilator is 0.123 Sv/hr and by Geiger Muller 0.3351 Sv/hr. The measurement results by the Geiger Muller instrument were 26.859 greater than the results of the NaI(Tl) Scintilator. The measured radiation value is almost 10 times the natural radiation dose rate in West Java. This shows that the mineralization of radioactive elements formed in Mamuju Regency contributes significantly to the high dose rate value measured in this study Keywords: Nai(Tl) Scintilator, Geiger Muller, dose rate, radiation, Mamuju.. Share Link | Plain Format | Corresponding Author (Adi Rahmansyah Amir Abdullah)

23	System and Applications	ABS-29
Implementing and Analyzing Fairness in Banking Credit Scoring Charlene Mariscal(a*), Fauzy Caesar Rochim(b), Yoga Yustiawan(b), Evawaty Tanuar(a) (a) Bina Nusantara University [at]Bandung Paskal Hyper Square, Jl. Pasir Kaliki No.25-27, Ciroyom, Kec. Andir, Kota Bandung, Jawa Barat * charlene.mariscal[at]binus.ac.id (b) Bank Rakyat Indonesia Jl. Jend. Sudirman Kav. 44-46, Bendungan Hilir, Tanah Abang, Jakarta Pusat 10210 Abstract The decision made by machine learning is mostly based on the historical data that used to train them. It raises the awareness that discrimination in machine learning should be eliminated, especially towards demographic features, such as gender or age, that may contain societal bias. Financial industry uses credit scoring as a reference to reflect the customer risk profile. To achieve fairness in the credit scoring model, this paper tries to: (1) assess bias in the model with different fairness metrics and (2) improve fairness in the ML model with several bias mitigation methods and algorithms. Moreover, the model performance also becomes a concern that should be preserved. This study depicts that some bias mitigation algorithms may work, but there is a trade-off with the performance. Implementing a reduction method performs the best to improve fairness and maintain the performance. Keywords: Machine Learning- Bias and Fairness- Fair Machine Learning- Fairlearn- AI Fairness 360 Share Link | Plain Format | Corresponding Author (Charlene Mariscal)

24	System and Applications	ABS-32
Design of Soil Shift Measuring System Based on Rotary Encoder Sensor and Esp32 Microcontroller Frida Agung Rakhmadi, Ayu Syakila Arum, Anggara Wahyu Dwiatmaja Physics Department, Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta Balai Penyelidikan dan Pengembangan Teknologi Kebencanaan Geologi Abstract This research was motivated by the many cases of landslides that have occurred in Indonesia. This study aimed to design and manufacture soil shift measuring system based on rotary encoder sensors and ESP32 microcontroller. This research was conducted in two stages, namely designing and manufacturing of soil shift measuring system. The design of the instrument was made using Sketchup software and the schematic design was made using Proteus software. Instrument manufacturing were done in two stages, namely software and hardware manufacturing. Hardware manufacturing were started from preparing tools and materials, making a PCB, assembling components, and checking of the instrument. The results showed that soil shift measuring system based on rotary encoder sensors and ESP32 microcontroller has been designed and manufactured successfully. Keywords: soil shift measuring system, landslides, rotary encoder sensors, and ESP32 microcontroller Share Link | Plain Format | Corresponding Author (Frida Agung Rakhmadi)

25	System and Applications	ABS-37
Control System Application in The Production Unit of The MASARO Organic Liquid Fertilizer to Improve the Production Capacity Akhmad Zainal Abidin (a*), Novita Sari Siregar (a), Agatha Cecilia Hutahaean (a), Elsye Veradika Yemensia (a), Mitra Djamal (b) a) Chemical Engineering Department, Bandung of Institute Technology Jalan Ganesha 10, Bandung 40132, Indonesia*cheitb[at]che.itb.ac.id b) Faculty of Mathematics and Natural Sciences, Bandung of Institute Technology Jalan Ganesha 10, Bandung 40132, Indonesia *admin.fmipa[at]itb.ac.id Abstract While struggling against the COVID-19 pandemic, Indonesia faces a fundamental problem as now the food consumption demand is growing rapidly. In fact, 19.4 million people had to suffer from hunger in 2021. This is far from the government^s goals to pursue the food estate by land intensification as plant media in 2024. To accomplish the food estate, even Indonesia has a big chance to survive depending on natural sources. Moreover, about 86.5% of Indonesian farmers depend on inorganic fertilizers. That eventually will lead to environmental and economic problems. The viable option to solve these problems by applying MASARO (Manajemen Sampah Zero) to enhance the abundant organic waste as organic liquid fertilizer and improve the agricultural industry^s productivity. MASARO is a waste management scheme that can manage waste until there is no residue (zero) by utilizing the waste into valuable products. POCI (Pupuk Organik Cair Istimewa) MASARO, an organic waste processing product, is made by enzymatically fermenting decomposing waste using the MASARO catalyst. The production of POCI is carried out in two fermentation stages where the carbohydrate and protein are converted into organic acid and amino acid on the first stage and continued with the amino acid decomposition on the second stage. An important indicator of the complete fermentation process of POCI is pH which is required in the range 3.9 - 4.2 within four weeks. In fact, the fermented mixture only needed 6 to 12 days to reach the desired pH range after the production operation was done. By relying on time measurement, producing a maximum production rate will not be feasible. This research is conducted to implement in-line production control in POCI MASARO production process using Arduino, sensors, and transmitters as the control equipment. Arduino is a friendly-user open-source electronic prototyping platform for designing and creating an electronic device which takes input from switches and sensors. The sensor will read the detected pH number. This control system is equipped with an alarm to produce an audible alert sound from an active buzzer as reaching desired pH range. Through this research, the effective process of MASARO operation can be accomplished by reducing production time. Keywords: Control, fertilizer, MASARO, pH Share Link | Plain Format | Corresponding Author (Novita Sari Siregar)

26	System and Applications	ABS-40
Development of Moderator Based Neutron Spectrometer Rasito1,2, Sidik Permana1, Zaki Su^ud1, Alan Maulana2, and Putu Sukmabuana2 1Nuclear Engineering Department, Bandung Institute of Technology, Jl. Ganeca 10, Bandung, Indonesia 2Research Organization for Nuclear Energy, National Research and Innovation Agency, Jl. Tamansari 71, Bandung, Indonesia Abstract The single moderator neutron spectrometer is a neutron spectrometer development by modifiying multisphere technique. Multisphere is a moderator-based neutron spectrometer technique to measure the spectrum with the most comprehensive energy range from eV to GeV. The development aims to obtain a more practical device in mobility and technical measurement than multisphere. The development of a single-moderated neutron spectrometer in the aspect of moderator geometry has resulted in two types: spherical and cylindrical shapes. The spherical shape is applied to measure the multi-directional neutron beam, while the cylindrical shape is used for the one-way beam measurement. Therefore, compared to cylindrical, spherical shape requires more neutron detectors. Furthermore, the developments in the aspect of the applied detector have used active and passive type detectors. The active type of detector is used to measure intermediate flux neutrons, with the detector materials used generally being scintillator and gas ionizer. The passive type is usually used for measuring high or very low flux neutrons, with the detector materials used being dosimeter and activation. The validation results of 2.5% - 3.2% of single sphere and 2% - 8% of single cylinder show that the single-moderated neutron spectrometer design is sufficient to replace the multisphere type spectrometer. Keywords: Please Just Try to Submit This Sample Abstract Share Link | Plain Format | Corresponding Author (Rasito Tursinah)

27	System and Applications	ABS-42
Development of Smart Solar Panel Monitoring and Protection System from Hot-Spot Effects by utilizing Machine Learning Jihadsyah Faa^iz Ahmad, Daniel Kurnia, Rahmat Hidayat Institut Teknologi Bandung, Physics of Magnetism and Photonics Research Division, Physics Program Study, Faculty of Mathematics and Natural Sciences, Jl. Ganesha 10, Bandung, West Java, 40132, Indonesia Abstract The use of solar panels as a low-carbon alternative for electricity generation is increasing as the demand to overcome the climate change problem increases. Nowadays, solar panels are now prospective to be used on a small and individual scale such as in residential houses or small offices. However, in such individual usage, solar panels are often placed in an environment with many surrounding objects that may cause sunlight obstructions forming shadows on the solar panel surface. The shadows can cause hot-spot effects that lead to solar cell panel degradation. Besides regular periodic shadows, there are also incidental sunlight obstructions due to falling leaves, bird droppings, debris, etc. Therefore, the usage of solar panels such as in this environment requires a system for controlling and monitoring the healthiness of the solar panels. Here, we develop such a system by implementing bypass circuits and machine learning. By using a data classification artificial intelligence algorithm, an early warning system can be created and remove the need for the individual to monitor the solar panels. In this presentation, the algorithm was trained on the patterns of current generated by the cells from the 8 hours during daylight. It is then used to determine whether the next-day pattern of the generated current is unusual or not. When the system decides that the pattern is unusual then it will raise an alert showing the presence of unusual sunlight obstructions or shadows on the solar panels. With such a smart system, solar panel health monitoring will be more effective and friendly to the users. Keywords: solar panel, hot spot effect, health monitoring, machine learning Share Link | Plain Format | Corresponding Author (Jihadsyah Faaiz Ahmad Ahmad)

28	System and Applications	ABS-44
Design of Temperature Measuring and Controlling Systems in Cascara Vinegar Acid Bioreactor Duwi Hariyanto(1)(a), Afit Miranto(2), Daffa Naufal(2), Muhammad Nur Rafif(2), Muhammad Pramudhitya Hernanda(2), Ilham Marvie(3) (1) Instrumentation and Automation Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (2) Electrical Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (3) Food Technology Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (a) Corresponding author: duwi.hariyanto[at]ia.itera.ac.id Abstract Technological developments attracted researchers to present systems that can help human work become easier and more efficient, especially in the production process. The vinegar acid production of coffee peel (cascara) is crucial to extend the shelf life and increase the selling value. This study aimed to design a temperature measurement and control system in the cascara vinegar acid bioreactor. The Raspberry Pi 4 microcontroller integrated the DS18B20 sensor was used to measure the temperature of vinegar and cooling water. The rate and temperature of the cooling water were controlled using the microcontroller based on the sensor output and the temperature limit set by the user. Code editing software, Visual Studio Code was used to write, edit, and upload the program to the microcontroller. The programming languages used were Python and Java. The results showed that the characteristics of the DS18B20 sensor were suitable for application as a temperature detector in the production process of cascara vinegar acid. Keywords: cascara, temperature, control, bioreactor, vinegar production, microcontroller Share Link | Plain Format | Corresponding Author (Daffa Naufal)

29	System and Applications	ABS-45
Monitoring and Controlling Systems Design of pH Cascara Vinegar Acid in Bioreactor Duwi Hariyanto(1)(a), Afit Miranto(2), Muhammad Pramudhitya Hernanda(2), Daffa Naufal(2), Muhammad Nur Rafif(2), Ilham Marvie(3) (1) Instrumentation and Automation Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (2) Electrical Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (3) Food Technology Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (a) Corresponding author: duwi.hariyanto[at]ia.itera.ac.id Abstract Fermentation is one option to extend the shelf life and increase the bioactive compounds of coffee rind (cascara). This study proposed to design monitoring and controlling systems of pH in the fermentation process of cascara in a bioreactor. The systems were designed using the Raspberry Pi 4 microcontroller integrated with the pH sensor SKU: SEN0169 brand DF Robot. The microcontroller was programmed to optimize the pH value of vinegar acid during the fermentation process. A peristaltic pump controlled by the microcontroller could inject either base or acidic solutions into the bioreactor. In addition, the microcontroller was used to control the stirring rod in the bioreactor so that the vinegar acid be homogeneous. Python and Java-based programming languages with a code editor of Visual Studio Code software were used to write, edit, and upload programs to the microcontroller. The results showed that the pH sensor was compatible to measure the pH value of cascara vinegar. Keywords: cascara, fermentation, vinegar, pH, microcontroller Share Link | Plain Format | Corresponding Author (Muhammad Pramudhitya Hernanda)

30	System and Applications	ABS-46
Design of Oxygen Levels Monitoring and Controlling Systems for Cascara Vinegar Acid Production in Bioreactor Duwi Hariyanto(1)(a), Afit Miranto(2), Muhammad Nur Rafif(2), Daffa Naufal(2), Muhammad Pramudhitya Hernanda(2), Ilham Marvie(3) (1) Instrumentation and Automation Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (2) Electrical Engineering Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (3) Food Technology Department, Institut Teknologi Sumatera, Jl. Terusan Ryacudu, Lampung Selatan, Indonesia (a) Corresponding author: duwi.hariyanto[at]ia.itera.ac.id Abstract Automation technology could increase flexibility and efficiency, especially in the production of foodstuffs. Processing coffee peel (cascara) into vinegar acid is important to reduce waste and increase selling value. This study intended to design monitoring and controlling systems of oxygen levels in a bioreactor producing cascara vinegar acid. The oxygen sensor SKU:SEN0322 brand DF Robot integrated the Raspberry Pi 4 microcontroller was utilized to monitor and control oxygen levels during the cascara fermentation process. The microcontroller was programmed to ensure that there was no oxygen in the cascara anaerobic fermentation process and to deliver oxygen to the bioreactor in the aerobic process if non-optimal oxygen levels detected. Programming languages based on Python and Java were used to program the microcontroller. Visual Studio code editing software was employed to write, edit, and upload programs to the microcontroller. The results showed that the oxygen sensor was appropriate for monitoring oxygen levels in the cascara fermentation process. Keywords: cascara, fermentation, vinegar, oxygen levels, microcontroller Share Link | Plain Format | Corresponding Author (Muhammad nur Rafif)

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