Page 2 (data 31 to 60 of 256) | Displayed ini 30 data/page
<< PREV 1 2 3 4 5 6 7 8 9 NEXT >>

31	Artificial Intelligence (AI)	ABS-187
APPLICATION OF PISTON BALLASTING SYSTEM ON ROV USING FUZZY LOGIC CONTROLLER METHOD Imam Sutrisno, Eka Ayu Gustiawati, Urip Mudjiono, Didik Dwi Suharso and Fahmi Umasangadji Politeknik Perkapalan Negeri Surabaya Abstract ROV is an underwater vehicle maritime technology. To be able to dive, ROV must be able to float, dive and sink. The system to supports this work is the ballasting system. However, the development of the ROV ballast system belonging to the Shipbuilding Institute of Polytechnic Surabaya^s research team is currently limited manually by providing ballast in the form of stones tied to the ROV body. In this study, the static piston tank auto-ballast system is used as a bouyancy function with the Fuzzy Logic Controller method. This system utilizes a DC motor as a water circulator drive. The GY-BME280-5V sensor is used to read the water depth value as a parameter and is displayed on the serial monitor and LCD. The control system in this study uses the Arduino Mega2560 microcontroller connected to the ESP8266 and a joystick to control the ballast tank setpoint to increase the effectiveness of using time and power. The results of this study are ballast tanks at an average height- floats 0m of the water^s surface, dives 95cm below the surface of the water and sinks 196cm below the surface of the water. The use of battery power for 6 thrusters of ROV for 60 minutes of diving is in the form of a potential value of the remaining voltage in the battery of 1V. Whereas for 2 ROV ballast tanks it is 0.17V. The difference in the use of ballast tank power against the thruster is 0.83V, where the ballast system is able to minimize the use of battery voltage. Keywords: Ballast, Piston, Fuzzy, Depth Sensor Share Link | Plain Format | Corresponding Author (Imam Sutrisno)

32	Artificial Intelligence (AI)	ABS-189
Control of DC Rotary Motor type S-50-39 using secondorder PID method based on Ziegler-Nichols 1 and 2 Anggara Trisna Nugraha, Moses Yudha Dua Lembang, Farhan Wahyu Nur Rahman, Rama Arya Sobhita Politeknik Perkapalan Negeri Surabaya Abstract The Ziegler-Nichols methods are pivotal techniques for tuning PID (Proportional-Integral-Derivative) controllers, significantly contributing to the field of control systems engineering. Developed by John G. Ziegler and Nathaniel B. Nichols in 1942, these methods provide systematic procedures for determining the optimal PID parameters to enhance system stability and performance. The first method, ZieglerNichols Type 1, relies on the system^s step response, utilizing key metrics such as delay time and rise time to calculate the PID settings. The second method, Ziegler-Nichols Type 2, involves adjusting the proportional gain until the system reaches a state of sustained oscillation, with the oscillation frequency and amplitude guiding the parameter determination. This paper explores the theoretical foundations, practical implementations, and performance evaluations of both Ziegler-Nichols methods across various systems. Comparative analyses highlight their effectiveness, advantages, and limitations, providing insights into their applicability in modern control systems. The findings aim to inform and improve tuning practices, fostering advancements in control strategies for diverse industrial applications. Keywords: DC Rotary S-50-39, PID, Zieger Nichols Share Link | Plain Format | Corresponding Author (Anggara Trisna Nugraha)

33	Artificial Intelligence (AI)	ABS-192
Utilization Of Asynchronous Learning as An Innovation In Independent Learning Of Internet Of Things Programming Rudy Ariayanto (b), Erfan Rohadi (b), Rakhmat Arianto (a), Usman Nurhasan (b), Anugrah Nur Rahmanto (b), Galih Putra Riatma (b), Ahmadi Yuli Ananta (b) Department of Information Technology, State Polytechnic of Malang Abstract The increasing popularity of integrating C programming learning curricula on the Internet of Things (IoT) using Arduino has become an increasingly common trend in vocational education programs. This curriculum introduces students to Arduino as the main platform used to understand IoT concepts. Students are involved in the learning process by reading module materials and writing program codes, although they often face challenges when errors occur in the code they create. In addition, other obstacles that arise are the time required to synchronize and configure in the Arduino IDE development environment, as well as the difficulty in auditing students^ work by teachers. These problems can hinder the smooth learning process, considering that IoT programming involves complex structures and is closely related to the hardware and sensors used in IoT projects. This study focuses on learning C programming for IoT applications developed using Arduino. The aim is to overcome the difficulties faced by students and teachers in the process of learning and teaching IoT programming. As a solution, a self-learning system known as ^Asynchronous Learning^ has been designed and developed. This system provides students with the ability to learn IoT programming independently, with their work processed through the use of the Test-driven Development (TDD) method. The results of the students^ work are then analyzed using the T-Test and can be accessed through a web platform provided. Keywords: Arduino, Asynchronous Learning, IoT, C Programming, T-Test Share Link | Plain Format | Corresponding Author (Rakhmat Arianto)

34	Artificial Intelligence (AI)	ABS-214
Pet Monitoring System using Global Positioning System (GPS) Based on Internet of Things (IoT) Muhamad Nasir, Kasih Nasuha, Tengku Musri, Eva Kurniawaty, Ayu Rahmadhani State Polytechnic of Bengkalis Abstract Pet ownership, including cats, has become an integral part of human life, offering happiness, comfort, and strengthening family bonds. As the focus on pet safety increases, owners are more concerned with ensuring their pets^ well-being. However, monitoring pets often presents challenges, particularly when owners are away from home or traveling for extended periods. Cats, known for their agility and tendency to explore their surroundings, face risks such as getting lost, accidents, or theft. These risks can heighten owners^ anxiety. The Internet of Things (IoT) technology provides new solutions for pet monitoring. With IoT devices like Global Positioning System (GPS) trackers and NodeMCU, cat owners can now track their pets^ locations in real-time. This technology allows owners to monitor their cats^ movements accurately, providing peace of mind and enabling quick responses in case of emergencies. Keywords: Pet, Internet of things, GPS , Node MCU Share Link | Plain Format | Corresponding Author (Muhamad Nasir)

35	Artificial Intelligence (AI)	ABS-218
Analysing Graph Data Model in Apriori Algorithm Ade Hodijah, Urip Teguh Setijohatmo, Hilman Permana, Lolla Mariah, Devina Lusiana Politeknik Negeri Bandung Abstract To find meaningful patterns in the big data is one of the active research in the data mining. Market basket analysis (MBA) is one of the most useful modeling technique in data mining. It involves the mining and analysis of Association Rules. The association rules problem carried by the Apriori algorithm is represented in various problems ranging from market basket analysis, co-occurrence in natural language processing, behavioral similarity, and so on which represent the recognition of co-occurrence tendencies. The problem of the speed of combinatorial itemset acquisition from the Apriori algorithm in previous studies using memory (RAM) is still very possible to be studied. In this study, graph-based technology was chosen based on the results of the study that there is the availability of graph algorithms (graph data science from Neo4j) to support the process of obtaining association rules from the Apriori algorithm. To mine transactional data and get detailed information about the products bought together in the market basket, the research performed network based approach. This gives insights into frequently bought products and products bought together de_ned as ^Communities^. Further, we analyzed these group of communities using different measures like Network density, Centrality and PageRank algorithms. From this study, we concluded that finding communities in comparison to the old traditional method of finding Association Rule is more informative and reliable in MBA. Keywords: Market Basket Analysis- Graph Data Science, Apriori Algorithms Share Link | Plain Format | Corresponding Author (Ade Hodijah)

36	Artificial Intelligence (AI)	ABS-225
Information Service Chatbot with Context Recognition and Synonym Detection Entin Martiana Kusumaningtyas, Ahmad Syauqi Ahsan, Ahmed Indarafata Akmal Maulana Samudra Politeknik Elektronika Negeri Surabaya Abstract In the dynamic digital era, providing fast and effective information to customers poses a challenge for many companies. We propose the use of chatbot technology to enhance operational efficiency and expedite response times in delivering information to customers. The methodology employed includes utilizing cosine similarity for more human-like interactions and endowing the chatbot with the ability to recognize synonyms, thereby enhancing its flexibility in understanding and responding to the various language variations used by users. The objective of this research is to implement a chatbot capable of consistently providing information and enhancing user experience. In testing, the developed chatbot showed positive results in improving company operational efficiency by speeding up response times and delivering consistent information to users. The results from using cosine similarity to measure similarity between user queries and the chatbot^s database demonstrate a higher level of relevance in responses. Thus, the use of this chatbot is expected to provide an effective solution to the challenges of information provision to customers in the continuously evolving digital era. Keywords: chatbot, operational efficiency, quick response, consistent information, synonym recognition Share Link | Plain Format | Corresponding Author (Entin Martiana Kusumaningtyas)

37	Artificial Intelligence (AI)	ABS-235
Using Neuro-Architecture Approach For Reveal Perception and Multisensory Domination On Vernacular Housing Experiences : A Literature Review Bhanu Rizfa Hakim a,b*) ,Hatta Musthafa Adham Putra a,b), Prasasto Satwikoc), Sri Kusrohmaniahd) aArchitecture Building Study Program,Politeknik Negeri Samarinda,Indonesia,75131 bStudent of Architecture Doctoral Program,Universitas Atma Jaya Yogyakarta, Indonesia cArchitecture Doctoral Program,Universitas Atma Jaya Yogyakarta, Indonesia dPsychology And Cognitive Sciences, Faculty of Psychology Universitas Gadjah Mada, Indonesia Abstract This study constitutes a comprehensive systematic literature review aimed at elucidating the utilization of neuro-architectural approaches in elucidating the dominance of perception within vernacular domiciles. Neuro-architecture, as a discipline amalgamating principles of neuroscience with architectural design, is employed as a research methodology to unveil the fundamental elements influencing perceptual dominance within the context of vernacular residences. The investigation identifies and assesses a spectrum of pertinent literature, encompassing empirical, theoretical, and applicative research that encompasses neuro-architectural facets relevant to dwelling perception. Principal findings reveal correlations between spatial design, materials, colors, and additional architectural components with neurological responses and the perceptions of inhabitants towards the vernacular living environment. The outcomes of this research yield a profound comprehension of how neuro-architecture can serve as the cornerstone for understanding and enhancing perceptual dominance in vernacular dwellings. The implications of these findings have the potential to guide the development of housing designs that fortify inhabitants^ experiences through a more conscientious approach to the neurological dimensions inherent in spatial perception and living environments. Keywords: Neuro-architecture, Vernacular Dwellings, Perception, Housing, Literature Review Share Link | Plain Format | Corresponding Author (Bhanu Rizfa Hakim)

38	Artificial Intelligence (AI)	ABS-242
IoT-Based Water Level Detection and Flood Forecasting System for Early Warning and Disaster Mitigation in the Brantas River Basin M. Udin Harun Al Rasyid, Fisabili Maghfirona Firdaus, Arif Basofi, Grezio Arifiyan Primajaya, and Weny Mistarika Rahmawati Politeknik Elektronika Negeri Surabaya Abstract Flood events can occur unexpectedly, particularly in regions proximal to major river systems. When river water levels exceed their banks, the likelihood of inundation in adjacent areas escalates significantly. This study explores the pivotal role of the Internet of Things (IoT) in mitigating flood risks through advanced monitoring and alert systems. IoT technology offers a strategic advantage by delivering real-time data on potential flood threats, thus enabling communities to implement preemptive measures without the necessity for continuous manual observation of river conditions. A cost-effective and practical approach is the deployment of microcontroller-based ultrasonic sensors for accurate water level detection. These sensors, integrated with IoT capabilities, facilitate the continuous monitoring of water levels, transmitting real-time data to centralized systems. Through the utilization of various application programming interfaces (APIs), alerts and notifications are disseminated directly to social media platforms, ensuring timely dissemination of information to the community. This proactive communication strategy enhances community preparedness and response to impending flood threats. Keywords: Flood Mitigation, Internet of Things, Ultrasonic Sensors, Social Media APIs, River Flow Share Link | Plain Format | Corresponding Author (Udin Harun Al Rasyid)

39	Artificial Intelligence (AI)	ABS-250
Maximizing the Effectiveness of E-Learning Through Automated Grading and Comprehensive Plagiarism Detection Eka Larasati Amalia, Vivin Ayu Lestari, Vivi Nur Wijayaningrum, Moch Zawaruddin Abdullah, Niken Maharani Permata, and Anisatul Latifah Politeknik Negeri Malang Abstract The use of technology in education has become imperative in the digital era. This study aims to develop and evaluate the effectiveness of an e-learning system that integrates comprehensive plagiarism detection using the Cosine Similarity method and automated grading features. The system is designed to detect similarities between student essay answers and reference answers, thereby enhancing academic integrity. The research methodology includes black box testing to assess system functionality and the System Usability Scale (SUS) to evaluate user perception. Testing results indicate that the system achieves high accuracy in plagiarism detection, with an average SUS score of 80.5%, signifying good user acceptance. The system is not only capable of identifying identical texts but also similar texts and paraphrases, making it an effective tool to support the learning process. Additionally, the automated grading feature enhances the efficiency of academic evaluation, reducing the time and effort required by educators. In conclusion, the integration of comprehensive plagiarism detection and automated grading features in the e-learning system significantly maximizes its effectiveness and integrity in academic assessments within educational institutions. Keywords: academic assessment- automated grading- cosine similarity- e-learning- plagiarism detection Share Link | Plain Format | Corresponding Author (Vivi Nur Wijayaningrum)

40	Artificial Intelligence (AI)	ABS-251
Early Warning System (EWS) for Monitoring Flood using IoT Technology Nurul Fahmi, Ekoprayitno, Khairus Suhada, Faisal Ananda and Hendra Saputra Politeknik Negeri Bengkalis Abstract Flooding is one of the most frequent natural disasters occurring in various parts of the world, including Indonesia. Every year, floods cause significant material losses, damage to infrastructure, and even loss of human lives. High rainfall intensity, changes in land use, and inadequate drainage systems are often the main causes of flooding. Therefore, effective mitigation measures are necessary to reduce the impact of this disaster. One solution that can be developed is utilizing Internet of Things (IoT) technology to create an Early Warning System (EWS) for flood monitoring. At the heart of this system were the Ultrasonic Waterproof JSN-SR04T sensor and the ESP8266 microcontroller. The sensor, designed to withstand harsh conditions, measured water levels with precision. The ESP8266 acted as a conduit, transmitting these measurements to the cloud in real time. As the system began its work, it recorded a steady rise in water levels from 4.5 cm to 4.9 cm over 28 minutes, capturing crucial data that revealed the river^s behavior. This real-time data, accessible via desktop and mobile platforms, enabled the town^s flood monitoring team to stay informed and act promptly. Alerts were sent out, ensuring that authorities and residents were prepared for potential flooding. Keywords: Flooding, Internet of Things (IoT), Early Warning System (EWS), Realtime Share Link | Plain Format | Corresponding Author (Nurul Fahmi)

41	Artificial Intelligence (AI)	ABS-252
Integration of Kalman Filter in Digital Compass as an Improvement of Navigation Accuracy for Blind People Ridwan Solihin1, a), Sudrajat 1, b) , TB Utomo 1, c) , Febi Ariefka Septian Putra 1, d) dan Tata Supriyadi1, e) Politeknik Negeri Bandung Abstract Blind people for navigation in carrying out independent activities moving from one location to another cannot rely on a combination of visual senses and memory as a map. However, blind people rely on a combination of other senses that are still functioning including touching, hearing, smelling, and using standard or electronic canes. The activity of touching by tracing walls is very risky for health safety. The activity of remembering through hearing and smelling is very likely to change because it depends on the situation, conditions, time, and interferes with concentration. The activity of using a cane is limited to providing feedback in the form of tactile, sound and vibration signals to the distance of the object in front of it. Without the help of position navigation to reach the target location, it is likely to be further away due to inappropriate route selection. The proposed research design is a digital compass with a signal output in the form of a north direction that can be felt. In this paper, the Kalman Filter (KF) process is described in the Arduino Nano microcontroller to reduce the noise of compass sensor data input due to the impact of environmental electromagnetic field interference. The KF process, error prediction by comparing the difference in current compass reading data with the previous one and the difference is used as a correction. Furthermore, the data from the prediction and correction process is issued in the form of PWM to the servo actuator as a north direction indicator. The test scenario was carried out by comparing the system without KF and using KF against the compass application on the smartphone, as well as the accuracy and distance to reach the target location. The test results show that the KF algorithm can function to eliminate noise in the compass sensor system with a better error difference of 0.78%. While the usefulness of reaching the target location functions and produces a shorter distance. Keywords: compas sensor, Kalman Filter, north direction navigation, servo, blind people Share Link | Plain Format | Corresponding Author (Ridwan Solihin)

42	Artificial Intelligence (AI)	ABS-253
Automated PCB Damage Detection in Early-Stage Maintenance Using Digital Image Processing Techniques Dianthika Puteri Andini, Endang Sukarna, Muhammad Yusuf Fadhlan, Farchan Aditya Johar Politeknik Negeri Bandung Abstract Checking PCB conductor path damage physically in the electronic system maintenance process is still performed manually so that it requires relatively long time and high accuracy. Checking damage manually can cause failure due to human error, especially on PCBs that have complexity in the conductor path. This research aims to create a system that can detect damage to PCB conductor lines by utilizing digital image processing technology that can be used for electronic system maintenance processes. The system uses an external webcam to take pictures of the PCB. The image is processed and detected damage to the conductor line using the Faster R-CNN method. The detection results are displayed on the laptop screen with information in the form of a bounding box that marks the location of the conductor line damage and the type of damage. The types of damage that can be detected by the system are three types of conductor line damage, namely missing hole, mouse bite, and open circuit. The system uses a dataset of 375 PCB images with 10 different types of paths. The dataset used is divided into two parts, namely training images and test images with a ratio of 4: The system uses four training parameters, namely batch size, learning rate, IoU threshold, and step with values of 1, 0.0002, 0.7, 200,000, and one testing parameter, namely the minimum score threshold of 0.90. System testing is carried out on PCBs with masking as many as 15 pieces that have different positions, numbers, and types of conductor line damage. The system has a detection accuracy rate of 96.80% and an average detection time of 10.95 seconds. Keywords: Training Model, CNN, Pre-processing, Hyperparameter Share Link | Plain Format | Corresponding Author (Dianthika Puteri Andini)

43	Digital Industry 4.0	ABS-258
Use of Remote Sensing Technology for Analysis of Mangrove Distribution and Density in Bengkalis District, Riau Province Hendra Saputra, Noerdin Basir, Faisal Ananda, Tika Maulini, Awaluddin, Nugraheni Setyaningrum, Sya^ari, Rozy Pratama, Demastio Farizah Politeknik Negeri Bengkalis Abstract The mangrove area in the coastal area of Bengkalis Regency continues to decline yearly, so proper area management is needed to provide valid and up-to-date information. Remote sensing technology is chosen for precise and efficient monitoring of mangrove areas. This study uses spatial remote sensing to analyze the distribution of mangrove forests and the level of mangrove density in the Bengkalis District. A SAVI analysis will be carried out using Landsat 9 Imagery in 2023 to map the distribution and density of mangroves in the study area. The study results show that mangroves in Bengkalis District are spread across every village in the coastal area, with a total mangrove area of 3,015.614 ha. Of the total area, the mangrove vegetation that forms the stands has different levels of density, consisting of 5 levels of greenness, namely non-vegetated land (33.75 Ha), very low greenness (57.04 Ha), low greenness (81.06 Ha), medium greenness (1,088.06 Ha), and high greenness (1,755.71 Ha). Keywords: Mangrove Distribution, Mangrove Density, Remote Sensing Share Link | Plain Format | Corresponding Author (Hendra Saputra)

44	Digital Industry 4.0	ABS-6
ONLINE LEARNING SYSTEM GOVERNANCE IN HIGHER EDUCATION USING TOGAF FRAMEWORK : A CASE STUDY Akhmad Bakhrun (a*), Ardhian Ekawijana (a), Beri Noviansyah (a) Politeknik Negeri Bandung a) Politeknik Negeri Bandung *abakhrun[at]polban.ac.id Abstract Information and Communication Technology (ICT) is crucial in enhancing the quality of educational services in higher education. As a significant asset, ICT must be managed effectively to ensure that institutions benefit from their investments in this field. ICT management ensures alignment with higher education^s vision, mission, and objectives in implementing Tri dharma. Furthermore, it aims to sustain ICT-based educational services over the long term. Various approaches, such as Enterprise Architecture (EA), have been developed for ICT governance. However, choosing the right framework and starting point can be challenging for higher education institutions. Therefore, this study aims to propose a blueprint for implementing ICT governance using the TOGAF framework, focusing on a case study of the online learning system (e-learning) at Bandung State Polytechnic (Polban). Keywords: TIK, higher education, EA, TOGAF, e-learning, Polban Share Link | Plain Format | Corresponding Author (Akhmad Bakhrun)

45	Digital Industry 4.0	ABS-8
Geographic Information System Design Concept for Integrated Agricultural Commodities Christopel H. Simanjuntak, Fitria C. Lahinta, Leony A. Wenno, Belthasar T. Siahaan, Sintya P. Junaedy Department of Electrical Engineering, Politeknik Negeri Manado, Manado 95252, Indonesia Abstract For those engaged in the food industry, the use of agricultural commodities represents an effective means of enhancing the quality of their food products. Nevertheless, in the context of business, food businesses are still required to dedicate time and resources to the preparation and sourcing of commodities such as coconut and its derivatives, which ultimately impacts the efficiency with which food products are provided. This consequently results in a longer provision of food. Furthermore, the government, particularly the Kauditan area of North Minahasa, Manado City, Indonesia, is seeking solutions to facilitate the accelerated penetration of superior agricultural products, such as coconut, into the local business sector. This optimisation is due to the fact that farmers continue to utilise the traditional method of selling agricultural products to pre-existing purchasers. In this model, if a prospective buyer expresses interest, they are immediately designated as a consumer. The objective of this research is to develop a geographic information system concept for superior coconut commodities, which will provide a mapping of commodity distribution, prices and information related to farmers, particularly in the Kauditan area, who sell these commodities. It will also include commodity purchase recommendations for business people. The research method employed is the Rapid Application Development Method (RAD). This method is an appropriate research method for the production of a specific product. The development model comprises several stages, namely requirement planning, user design, construction and cutover. The proposed concept will have the advantage of utilising a geographic data reference specifically for the Kauditan area, which will form the basis of superior commodity mapping data. This data will then be used as the foundation for an information and recommendation system for ordering commodities for business people. It is anticipated that the concept will subse Keywords: Design Concept, Geographical Information System, Integrated, Agricultural Commodities, Manado Share Link | Plain Format | Corresponding Author (Christopel Hamonangan Simanjuntak)

46	Digital Industry 4.0	ABS-265
Digital Twin for Smart Building Automation PENS PSDKU Lamongan Campus Rosiyah Faradisa, Wahyu Nur Hidayat, Sritrusta Sukaridhoto Politeknik Elektronika Negeri Surabaya Abstract Building infrastructure management in the modern era faces complex challenges, especially in PENS PSDKU Lamongan campus buildings, such as monitoring, control, and resource efficiency. This research proposes a Digital Twin Living solution that integrates Digital Twin technology and the Internet of Things (IoT) for real-time monitoring, energy control, and efficient management. The solution involves the implementation of Digital Twin with accurate virtual models connected to IoT sensors such as doors, kWh meters, and CCTV. Through the Home Assistant platform, the solution enables 3D visualization, integration with Smart Home, and automation settings. Controlled experiments demonstrated the effectiveness of this solution in improving energy management, security, and building comfort. The experimental results show a better understanding of resource usage, providing opportunities for operational optimization and smart decision-making. The Digital Twin implementation extends functionality by integrating automation settings and device control through 3D visualization. Controlled experiments tested the effectiveness of the solution in energy management, security, and building comfort. The experimental results show that Digital Twin provides a better understanding of resource usage, enabling building managers to optimize operations and make smarter decisions. This research makes a significant contribution in addressing the challenges of building infrastructure management with an integrated and technology-driven approach. Keywords: Digital Twin, Internet of Things (IoT), Energy Efficiency, Building Management, IoT Automation. Share Link | Plain Format | Corresponding Author (Rosiyah Faradisa)

47	Digital Industry 4.0	ABS-14
Semester Learning Plan Monitoring System: A Smart Solution for Manado State Polytechnic Learning Monitoring Herry Setiawan Langi (a*), Tineke Saroinsong (b) Politeknik Negeri Manado Abstract A semester learning plan, or RPS, is a learning planning document prepared to guide lecturers and students in one semester^s lecture activities. RPS contains information about course identity, learning outcomes, course descriptions, learning plans, assessments, and bibliography. Many lecturers at Manado State Polytechnic still need to prepare RPS according to the applicable format. This makes it difficult for leaders to evaluate learning outcomes and, of course, affects the quality of the learning process. Therefore, the RPS monitoring system is needed to improve the quality of learning and the quality of graduates. The system will record RPS data for each lecturer based on the courses taught in the current semester. Lecturers who have not submitted their RPS will be blocked from the implementation schedule. The schedule will be valid when the course RPS has been registered in the system and approved by the head of the study program. Development of the RPS Monitoring System using a Waterfall research approach. Based on the test results, this Monitoring System can be used easily (user-friendly), and based on system testing on the hosting server, we get a 100% success rate for up to 2500 users. Keywords: RPS- monitoring- waterfall- Manado State Polytechnic Share Link | Plain Format | Corresponding Author (Herry Setiawan Langi)

48	Digital Industry 4.0	ABS-15
Pick and Place Control of 3-DoF Robot Manipulator Using Linear Quadratic Integrator Chika Alicia(a*), Adnan Rafi Al Tahtawi (a), Martin (a) a) Politeknik Negeri Bandung, Department of Electrical Engineering, Bandung, 40012, Indonesia * chika.alicia.toi20[at]Polban.ac.id Abstract This study proposes a pick and place control strategy for a 3-DoF robot manipulator based on linear quadratic integrator (LQI). The linear model of the 3-DoF robot manipulator is derived using an independent joint control approach, where the coupling factors between joins that cause nonlinearity are considered as disturbances. This model produces 6 state variables and 3 input signals. From the linear model obtained, an LQI controller was then designed so that the robot could carry out pick and place missions with good behavior. The controller is designed by setting a Q matrix where the angular state weight is set to be 100 times greater and the error state weight is set to be 1000 times greater than the control signal weight in the R matrix. This aims to produce a fast transient response to the angular and error states. The angle set-point of each joint is generated from inverse kinematics by inputting the pick and place target coordinates. Simulation results with the LQI controller show that each robot joint can reach the desired angle with a settling time of 6.4 s for joint 1, 8.1 s for joint 2, and 5.8 s for joint 3. The hardware test results also show that the robot^s behavior in pick and place missions using the LQI controller is better than without the controller. Keywords: Arm robot- Linear Quadratic Integrator- State Space Share Link | Plain Format | Corresponding Author (Chika Alicia)

49	Digital Industry 4.0	ABS-273
Design and Development of a Low Cost 3-Degree-Of-Freedom Motion Platform for Flight Simulator Singgih Satrio Wibowo, Maria Fransisca Soetanto, Muhammad Rizki Zuhri, Lenny Iryani, Syarif Hidayat, Mochammad Luthfi, Muhammad Adam Abhinaya, Pajar Firmansyah, Yusuf Salim Aeronautical Engineering, Department of Mechanical Engineering, Politeknik Negeri Bandung, Indonesia Abstract This paper describes the design and manufacturing process of a motion platform for an aircraft simulator, which aims to provide a realistic simulation experience in aircraft flight for users. This platform is designed to be able to imitate 3 degrees of freedom (3-DOF) motion, namely rolling, pitching and yawing. The studies conducted include mechanical construction, kinematic analysis, and development of the electronic system of this device. In the process of manufacturing the electronic device, the wiper motor is selected as the main element of this system which is then modified into a servo using a closed-loop control method with a PID control law, so that it can rotate according to the command given, so that it can simulate the motion of the vehicle. While in the mechanical study, the design of the shape and selection of materials are carried out to ensure the strength of the frame structure. The initial version of this device has been successfully made with good results, where the wiper motor has been successfully developed into a servo and the platform structure can support the given load safely Keywords: Motion, wiper, motor, 3-DOF, PID, servo Share Link | Plain Format | Corresponding Author (Singgih Satrio Wibowo)

50	Digital Industry 4.0	ABS-18
Smart Health Bracelet for the Utilization of Iot-based Inpatient Patients Faridatun Nadziroh, Nanda Ayu Putri, Anang Budikarso, I Gede Puja Astawa and Budi Aswoyo Departement of Electrical Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Jl. Raya ITS, Keputih, Sukolilo, Surabaya, East Java 60111, Indonesia Abstract When patients come for medical care and are suspected of having a serious condition, continuous monitoring of Vital Signs is crucial until the results return to normal. Additionally, vital signs monitoring helps nurses document patient progress to develop care plans. The manual system, which requires nurses to visit patient rooms for each check, is inefficient and time-consuming. Therefore, a remote monitoring wristband based on the Internet of Things (IoT) was developed for inpatient care. This wristband monitors heart rate and body temperature using MAX30102 and MLX90614 sensors, with data processed by an ESP32 microcontroller and decision-making for necessary actions by nurses using fuzzy logic. Data is displayed on a Liquid Crystal Display (LCD) on the wristband and sent to a Telegram bot via Wi-Fi, allowing nurses to remotely monitor temperature and heart rate parameters in real-time. Testing results indicate that the Smart Health Bracelet provides highly accurate and reliable results, with an average error rate of 0,34% for body temperature and 0,42% for heart rate, which are well within acceptable limits. Keywords: Vital signs- Fuzzy logic- Telegram bot- Smart Health Bracelet Share Link | Plain Format | Corresponding Author (Nanda Ayu Putri)

51	Digital Industry 4.0	ABS-25
Innovative Cat Health and Location Tracking Using LoRa Technology Siti Fatimah Risma Athiyah, Anang Budikarso, Faridatun Nadziroh, Irfan Nur Diansyah Telecommunications Engineering Study Program, Electronic Engineering Polytechnic Institute of Surabaya, Jl.Raya ITS, Keputih, Sukolilo, Surabaya, East Java 60111 Abstract Cases of lost pets, especially cats, are on the rise. This is a cause for concern, as cats are susceptible to disease and difficult to locate. A cat health monitoring and location tracking system is designed to address the problem. The system uses LoRa technology and fuzzy logic to monitor the cat^s body temperature and pulse rate as key health indicators. Sensor data is sent to the server via LoRa and stored in a database. A Telegram bot is then used to provide health and location information about the cat to the user on demand. The tests showed high accuracy. The temperature sensor achieved 99.7% accuracy for healthy cats and 99.77% for unhealthy cats. The pulse sensor had an error of 3.07% compared to the smartphone application. The GPS module had an average distance difference of 3.10 meters with Google Maps. The system offers an effective solution to monitor the health and location of cats, helping owners keep track of their pets and provide proper care when needed. Keywords: Body Temperature, Pulse Rate, Location Tracker, Fuzzy Logic, LoRa, Telegram bot Share Link | Plain Format | Corresponding Author (Siti Fatimah Risma Athiyah)

52	Digital Industry 4.0	ABS-26
Implementation of Least Squares Channel Estimation on OFDM for Video Transmission Using GNU Radio-USRP Lisallah- I Gede Puja Astawa- Faridatun Nadziroh- Budi Aswoyo- Anang Budikarso- Ida Anisah Electronic Engineering Polytechnic Institute of Surabaya Abstract Orthogonal frequency division multiplexing (OFDM) is a transmission technique that utilizes a multicarrier transmission technique that uses a multicarrier, which divides the frequency spectrum into several subcarriers. At the same time, orthogonal signals are signals that are perpendicular to each other and overlapping with one another to strengthen the signal when transmitted. Each other strengthens the signal when transmitted through the frequency-selective fading channel. Channel estimation techniques are needed before the demodulation process to overcome distortion in the signal. To overcome the distortion in the signal caused by Frequency-Selective Fading and Time-Varying Fading. The Least Square (LS) channel estimation technique is a data-aided estimation technique. A set of pilots with predetermined values is inserted into the data. At the receiver side, this pilot value is retrieved, and the change in value is used to perform channel estimation. Then, the change in value is used to estimate the channel traveled by the signal and traveled by the signal. The set of pilot symbols with known values is inserted in the data of all OFDM symbols. In this research, the LS channel estimation method in the OFDM for the DVB-T system was implemented using a GNU-Radio-based USRP device to measure the performance of LS channel estimation. The performance of the LS method is obtained only up to a maximum distance of 8 meters with a delay of up to 9 seconds. Performance to get a Bit Error Rate (BER) value of around 0.284076 or 28% if the Signal to Noise Ratio (SNR) reaches around 24 dB. Keywords: SISO OFDM, Channel Estimation, USRP, GNU Radio, Transmission Video Share Link | Plain Format | Corresponding Author (Lisallah Lisallah)

53	Digital Industry 4.0	ABS-33
A Design of Local Control Unit using FPGA-Based PI-D Controller for Temperature Control System Yohanes Baptista Gunawan Sugiarta- Muhammad Azhar Wahidurrachman- Feni Isdaryani(*)- Dodi Budiman Margana.st Try to Submit This Sample Abstract Electrical Engineering Department, Politeknik Negeri Bandung, Bandung 40559, Indonesia *feni.isdaryani[at]polban.ac.id Abstract Local Control Units (LCUs) in Distributed Control System (DCS) architectures are essential components that perform localized, real-time process control and data acquisition at the field level of industrial operations. In designing a LCU, generally, each plant to be controlled requires a different controller board which leads to inefficiency and high costs. In addition, the set-point kick phenomenon in the system is a common issue in PID-based control systems. This research uses an FPGA (Field Programmable Gate Arrays) board to build and implement a LCU for a temperature control system, allowing three actuators to be controlled with a single controller board. The actuators to be controlled are the servomotor, DC motor, and heater to represent the window, fan, and heater, respectively. The objective of parallelizing the control process in a single LCU board is to increase efficiency and save costs by reducing the number of controller board uses. In the LCU design, a FPGA functions as the primary controller. This FPGA implements a PID type-B (specifically PI-D) control method. Separately, the master control unit incorporates a microcontroller, which employs fuzzy logic to compute global errors and establish suitable set-points for each plant of the system. The implementation results show that the FPGA can control three plants simultaneously with the required resources: 2176 logic elements, 1149 registers, and 10 DSP blocks. With a set point of 35 &#870- C, the transient response is obtained with a rise time of 16 minutes and 73 seconds, a settling time of 13 minutes and 58 seconds, 0% overshoot, and 0% steady-state error. Keywords: FPGA- PID Control- DCS- Temperature Control Share Link | Plain Format | Corresponding Author (FENI ISDARYANI)

54	Digital Industry 4.0	ABS-49
Dynamic Load Balancing in Software-Defined Networks: An Implementation of LBUR in ONOS Intent Path Forwarding Taufik Irfan Politeknik Negeri Bandung Abstract Modern network traffic is dynamic, requiring robust and efficient load balancing to maintain performance and reduce congestion. This paper implements the Least Bandwidth Utilization Ratio (LBUR) algorithm in ONOS Intent Path Forwarding (IPF) to dynamically balance network demand across available paths. LBUR prioritizes traffic forwarding channels with the lowest bandwidth usage in Software-Defined Networks (SDN) to increase bandwidth utilization and reduce delay. The algorithm^s performance was tested using the Abilene network topology under various traffic situations. LBUR lowers congestion, balances load, and minimizes end-to-end latency compared to classical load balancing. These data suggest LBUR could improve SDN network efficiency and reliability. Keywords: SDN, ONOS, LBUR, Intent Share Link | Plain Format | Corresponding Author (Taufik Irfan)

55	Digital Industry 4.0	ABS-52
Secure E-Voting System using Schorr^s Zero Knowledge ID Protocol Indah Octaviani Laleb, Daniel M.D.U. Kasse State Polytechnic of Kupang Abstract In today^s era of technological progress, the electoral system has significantly changed with the introduction of Electronic Voting, or E-voting. The main goal of E-voting is to boost participation and enhance security, tackling the issues that come with traditional voting methods. This new system uses computer technology to make the voting process more efficient and convenient. The success of an E-voting system is judged by four fundamental principles: Accuracy, Invulnerability, Privacy, and Verifiability. Despite the advancements, protecting voter privacy remains a significant concern in traditional E-voting systems, where it^s often hard to keep voter identities separate from their votes. Therefore, it is essential to develop a solution that ensures the preservation of voter identity privacy. One promising solution is using Schorr^s Zero Knowledge ID Protocol. This method allows voters to confirm their identities without sharing any extra information, ensuring their privacy is protected throughout the E-voting process. By incorporating Schorr^s Zero Knowledge ID Protocol, we can boost both security and privacy for voters while still upholding the critical principles of accuracy and verifiability. As technology and innovative solutions continue to evolve, E-voting can become a more effective way to conduct fair, secure, and transparent elections. In summary, the E-voting system with Schorr^s Zero Knowledge ID Protocol marks a significant step forward in creating election systems that meet modern demands for privacy and security. Keywords: E-voting, Zero Knowledge ID Protocol Schnorr, cryptographic protocol, privacy Share Link | Plain Format | Corresponding Author (Indah Octaviani Laleb)

56	Digital Industry 4.0	ABS-56
Heritage Sites in Surabaya: Utilizing Augmented Reality and GPS-Based Gamification for the Tourism Guide Moh. Zikky, Hosea Nathaniel Rishak, Artiarini Kusuma Nurindiyani, Laily Asna Safira 1,2,3) Politeknik Elektronika Negeri Surabaya, 4) Institut Teknologi Sepuluh Nopember Surabaya Abstract One significant industry that propels Indonesia^s economy is tourism. The rising number of domestic and international tourist visits can be influenced by a number of things. One of the tourist attraction^s properties serves as the primary draw for travelers or tourists to visit the location. The primary driver of tourism is the presence of tourist attractions. Many initiatives have been taken to enhance Surabaya^s tourism sector, particularly in the area known for its cultural history. Using the advancement of gamification technology in the tourism industry, innovation was conducted in this study. With the help of augmented reality (AR) and GPS technologies, this study created an Android gaming application as a virtual tourism guide that can display information on tourism spots based on the user^s location. Through the use of augmented reality, the gaming application^s challenges serve to enhance interest in travel. A portability level of 80% was achieved through testing on multiple fronts, indicating that the technology is trustworthy enough to be promoting as a medium for gamification-based tourism promotion. Keywords: virtual tourism guide, heritage sites, augmented reality, gamification Share Link | Plain Format | Corresponding Author (Mohammad Zikky)

57	Digital Industry 4.0	ABS-59
Enhancing Beef Cattle Productivity and Welfare through IoT and Edge Computing: A Comprehensive Quality of Service Analysis Cipto Prabowo(a*)- Zurnawita (a*)(b) a) Politeknik Negeri Padang *cipto[at]pnp.ac.id *zurnawita[at]pnp.ac.id b) Universitas Andalas Limau Manis, Indonesia Abstract The beef cattle farming industry faces challenges in improving productivity and animal welfare, particularly in real-time monitoring of environmental conditions and livestock behavior. Traditional methods often fail to provide accurate, timely responses to abnormal conditions. This study explores the use of Internet of Things (IoT) and edge computing technologies with low-cost devices to enhance monitoring and efficiency in beef cattle farms. It also examines factors influencing the adoption of these technologies. The developed system includes an esp8266 microcontroller and sensors for temperature, humidity, and ammonia concentration, along with accelerometers attached to cattle. These sensors transmit data to an IoT edge device (Raspberry Pi 3B) using MQTT protocol, which is then forwarded to a cloud server via TCP/IP for further analysis. Notifications are sent to farmers if abnormal conditions are detected. Quality of Service (QoS) testing shows promising results: throughput of 467.28 kbps, 0% packet loss, 14.34 ms average delay, and 6.13 ms jitter. These results indicate that the system provides reliable data transmission and responsive performance, though some challenges remain with jitter and network stability. Future work will focus on optimizing data transmission and integrating machine learning for real-time analysis, supporting broader adoption of IoT technologies in cattle farming. Keywords: IoT-Edge Computing-Peternakan sapi-QoS Share Link | Plain Format | Corresponding Author (Cipto Cipto Prabowo)

58	Digital Industry 4.0	ABS-73
The Implementation of Hardware Internet of Things for Grading Pineapple by Using Machine and Transfer Learning Dwi Vernanda, Nunu Nugraha Purnawan, Tri Herdiawan Apandi Politeknik Negeri Subang Abstract Keywords: grading, iot, machine learning, pineapple, transfer learning Share Link | Plain Format | Corresponding Author (Dwi Vernanda)

59	Digital Industry 4.0	ABS-84
Analysis of the Computer Based Test (CBT) Application of Politeknik Negeri Bengkalis using the SUS method Fajar Ratnawati- Niky Hardinata- Supendi- Sigit Kurniawan- Via Laurenz Politeknik Negeri Bengkalis Abstract New student selection at Politeknik Negeri Bengkalis (Polbeng) uses the Computer Based Test (CBT) application to improve the efficiency and accuracy of the selection process. Evaluation of the usability of the application is important to ensure that users, both prospective students and selection committees, can use it easily and effectively. This study aims to analyze the level of usability of the Polbeng new student selection CBT application using the System Usability Scale (SUS) method. The SUS method was chosen because of its simplicity and ability to provide fast and measurable results. Data were collected by distributing SUS questionnaires to 498 respondents consisting of prospective new students and selection committees who had used the CBT application. The results of the analysis showed that the SUS score of the Polbeng CBT application was 73, which is included in the Good category. Although this application is generally well received, several aspects such as responsiveness and ease of navigation still need improvement. Recommendations for improving the quality of the application are given based on user feedback, with the hope of increasing satisfaction and effectiveness of the application in the new student selection process at Polbeng. Keywords: Computer Based Test, New Student Selection, Politeknik Negeri Bengkalis, System Usability Scale, Usability, User Evaluation Share Link | Plain Format | Corresponding Author (Fajar Ratnawati)

60	Digital Industry 4.0	ABS-86
Analysis of Negligence in Web Server Security Management at Direkon.com and Its Impact on Malware Attacks Daniel Kasse, Indah O. Laleb Politeknik Negeri Kupang Abstract Web server security is a crucial aspect of protecting data and systems from cyber threats. This research focuses on the analysis of negligence in web server security management implemented at Direkon.com and its impact on potential malware attacks. The system analyzed includes a server based on Ubuntu 22.04 with default configuration and the use of phpMyAdmin as a database administration tool, along with the implementation of CAPTCHA to counter automated access. Through log analysis that recorded attempts to access phpMyAdmin from suspicious IP addresses, it was found that CAPTCHA effectively prevents automated access- however, attackers still attempted to access different versions of phpMyAdmin. The default configuration of Ubuntu and phpMyAdmin, combined with the absence of antivirus software, increases the system^s vulnerability to attacks. The research methodology includes security audits, vulnerability scanning, and penetration testing to evaluate the effectiveness of current protections and identify areas needing improvement. The analysis results show that while CAPTCHA protection works well, additional security enhancements such as software updates and configuration hardening are necessary to reduce risks. The study recommends routine updates for the software in use, strengthening CAPTCHA systems, and implementing additional security measures to protect the server from potential malware attacks and other vulnerabilities. Awareness and proactive measures in security management are key to maintaining the integrity and security of data in a self-managed server environment Keywords: Web Server Security, Malware Attacks, Vulnerability Assessment, Cybersecurity Share Link | Plain Format | Corresponding Author (Daniel M.D.U Kasse)

Page 2 (data 31 to 60 of 256) | Displayed ini 30 data/page
<< PREV 1 2 3 4 5 6 7 8 9 NEXT >>

Powered By Konfrenzi Ultimate 1.832M-Build8 © 2007-2026 All Rights Reserved