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151	Physics	ABS-81
Synthesis and Characterization of Porous Activated Carbon Materials from Palm Frond Waste (Elaeis guineensis Jacq.) With Thermal and Chemical Activation Sahara Hamas Intifadhah (a*), Dadan Hamdani (a), Rahmawati Munir (a), Adrianus Inu Natalisanto (a), Suhadi Muliyono (a) a) Theoritical and Material Physics Laboratory, Physics Department, Faculty of Mathematics and Natural Science, Mulawarman University, Jl Barong Tongkok, No. 4,Samarinda, East Kalimantan 75123, Indonesia *saharahamas[at]fmipa.unmul.ac.id Abstract Carbon is one of the abundant elements, which is obtained from organic matter. One of them is found in the fronds of oil palm trees. East Kalimantan is one of the provinces that has many oil palm plantations for the palm oil industry. This has an impact on the environment, such as the accumulation of waste from the palm oil industry, especially palm frond waste (Elaeis guineensis jacq.). Based on that, this research has innovated to synthesize activated carbon material from palm frond waste to overcome these environmental problems. This research has analyzed the nature of the material structure, pore size, surface area and pore volume of activated carbon. The method is used the process of thermal and chemical activation to convert pure carbon material into activated carbon with variations of solutions, phosphoric acid (H3PO4) and sodium hydroxide (NaOH). XRD (X-Ray Diffraction) and BET (Brunauer-Emmet-Teller) characterization were reported. The results obtained that the amorphous structure of activated carbon has been formed and there was an increase in BET surface area due to the activation process. The surface area obtained for the Pure Carbon (K-1) is 15.149 m2/g, Activated Carbon-NaOH (K-2) is 2.082 m2/g, Activated Carbon-H3PO4 (K-3) is 307.692 m2/g. This shows that the best sample with the highest surface area is sample K-3 which uses H3PO4 activator solution. Keywords: Palm Frond Waste, Activated Carbon, Surface Area, Pore Size Share Link | Plain Format | Corresponding Author (Sahara Hamas Intifadhah)

152	Physics	ABS-87
Green Synthesis of S, Se, and Ag Doped ZnO Nanoparticles for Enhanced Photocatalytic Waste Degradation Ari Sulistyo Rini(a*), Yolanda Rati(b), Mediniah Putri Simatupang(a), Zulkarnain Usman(a), Erman Taer(a), Rahmi Dewi(a), Jasril(c) a) Dept of Physics, Faculty of Mathematics and Natural Sciences, University of Riau, Jalan H.R. Soebrantas, Km 12.5, Pekanbaru 28291, Indonesia * ari.sulistyo[at]lecturer.unri.ac.id b) Dept of Physics, Bandung Institute of Technology Jalan Ganesha 10, Bandung 40132, Indonesia c) Dept of Chemistry, Faculty of Mathematics and Natural Sciences, University of Riau, Universitas Riau, Jalan H.R. Soebrantas, Km 12.5, Pekanbaru 28291, Indonesia Abstract The increasing concern of environmental pollution has pushed for the development of sustainable and eco-friendly waste management technologies. This study presents a green synthesis approach towards production of Zinc Oxide (ZnO) nanoparticles incorporated with Sulfur (S), Selenium (Se), and Silver (Ag) as dopants to improve their photocatalytic properties in waste degradation. The biosynthesis process involves utilizing natural plant extracts as reducing and stabilizing agents, presenting an environmentally friendly option to conventional chemical synthesis methods. The zinc oxide doped nanoparticle analysis was done using XRD, SEM and UV-Vis spectroscopy which confirmed successful incorporation of S, Se, and Ag into the structure of ZnO. The synthesized nanoparticles were used to test their photocatalytic efficacy by degrading organic wastes under UV-light. These findings revealed that there was a drastic increase in degradation rate with doped ZnOs with S, Se & Ag exhibiting better performance against photodegradation than undoped ones. This investigation outlines how S, Se, and Ag doped ZnO nanoparticles can be an effective means for disposing off waste materials that align well with green technology principles. This outcome opens up further possibilities of applying these materials in addressing large-scale environmental concerns. Keywords: doped-ZnO, photocatalyst, pollutant, green-synthesis Share Link | Plain Format | Corresponding Author (Ari Sulistyo Rini)

153	Physics	ABS-91
Effectiveness of TiO2-Eggshell (CT) Composite for the Degradation of Methylene Blue (MB) Rahmawati Munir, Dadan Hamdani, Darnah, Eva Marliana, Sahara Hamas Intifadhah 1)Theoretical and Material Physics Laboratory, Department of Physics, Faculty of Mathemathics and Natural Science, Mulawarman University, Jl. Barong Tongkok No. 4, Samarinda, Kalimantan Timur, 75123 2)Study Program of Statistics, Faculty of Mathemathics and Natural Science, Mulawarman University, Jl. Barong Tongkok No. 4, Samarinda, Kalimantan Timur, 75123 3)Department of Chemistry, Faculty of Mathemathics and Natural Science, Mulawarman University, Jl. Barong Tongkok No. 4, Samarinda, Kalimantan Timur, 75123 Abstract In this research, TiO2-Eggshell (CT) composites were synthesized using the Solid-State Dispersion (SSD) method with varying ratios of eggshell to TiO2: 9:1, 8:2, and 7:3. The aim was to evaluate the photocatalytic efficiency of these composites in degrading Methylene Blue (MB) under UV light. The SSD method effectively produced homogeneous composites, where the TiO2 particles were well-dispersed on the eggshell matrix. UV-Vis spectrophotometry was employed to monitor the degradation of MB, and it was found that all composite samples exhibited degradation efficiencies above 95%. Among the different ratios, the 7:3 (eggshell: TiO2) composite showed the highest photocatalytic activity, indicating that a higher TiO2- content correlates with improved degradation performance. Additionally, the pH of the MB solution increased from 6.72 to 7.91 upon treatment with the composites, indicating the potential of the composite not only for photocatalytic degradation but also for pH adjustment in water purification applications. The results suggest that the TiO2-Eggshell composite, particularly with a higher TiO2- loading, is a promising material for environmental remediation, specifically for the removal of organic pollutants such as Methylene Blue (MB) from wastewater. Keywords: TiO2-Eggshell Composite- Methylene Blue- Photocatalytic Degradation- Solid-State Dispersion (SSD)- Water Purification Share Link | Plain Format | Corresponding Author (Rahmawati Munir)

154	Physics	ABS-92
The role of fumed silica and PMMA in modifying the optical properties of blue-emitting CH3NH3PbBr3 perovskite nanocrystals Auliya Rahmatul Ummah(a,b*), Ea Cahya Septia Mahen(d), Ferry Iskandar(c) a) Theoretical and Material Physics Labpratory, Department of Physics, Mathematics and Natural Science, Mulawarman University, Jl. Barong Tongkok No. 4, Samarinda, Kalimantan Timur, 75123 b) Electronics and Instrumentation Laboratory, Department of Physics, Mathematics and Natural Science, Mulawarman University, Jl. Barong Tongkok No. 4, Samarinda, Kalimantan Timur, 75123 *auliyarahmatul.ummah[at]gmail.com c) Department of Physics, Institut Teknologi Bandung, Bandung, Indonesia d) Department of Physics, UIN Sunan Gunung Djati, Bandung, Indonesia Abstract The fabrication of highly efficient blue organic-inorganic halide perovskite (OIHP) with superior optical characteristics has posed considerable challenges and continues to be a focal point of research. In this paper, we report the successful synthesis of blue-emitting CH3NH3PbBr3 perovskite via a ligand-assisted reprecipitation process, followed by embedding within a matrix of fumed silica and poly-methylmethacrylate (PMMA). The incorporation of fumed silica led to a blue shift in the photoluminescence (PL) peak spectrum of CH3NH3PbBr3 from 481 nm to 477 nm. Additionally, after embedding in the PMMA matrix, the OIHP showed a further blue shift from 477 nm to 471 nm. The OIHP absorbance spectrum shifted from 451 nm to 426 nm, aligning with the observed blue shift in the PL spectrum. The emergence of two peaks in the absorbance spectrum suggests the growth of nanoparticles with a narrow size distribution, indicating a strong quantum confinement effect. These findings highlight that CH3NH3PbBr3/SiO2-PMMA composite films possess remarkable optical properties, making them promising for future optoelectronic applications. Keywords: Perovskite Nanocrystals- Optical Properties- Fumed Silica- PMMA Share Link | Plain Format | Corresponding Author (Auliya Rahmatul Ummah)

155	Physics	ABS-98
Effect of Annealing Temperature on Optical Properties, Microstructure, and Dielectric Impedance of Barium Zirconate Titanate (BT-BZT) for Multilayer Ceramic Capacitor (MLCC) Application Rahmi Dewi(a*), Lulu Hayati (a) Zulfa Nasir (a), Amelia Linggawati (b), Ari Sulistyo Rini (a), Yanuar Hamzah (a), Tengku Emrinaldi (a), Zuhdi (c) (a)Department of Physics, Faculty of Mathematics and Natural Sciences, University of Riau, Pekanbaru, Indonesia *rahmi.dewi[at]lecturer.unri.ac.id (b)Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Riau, Pekanbaru, Indonesia. (c)Department of Physics, Faculty of Teacher Training and Education, Universitas Riau, Pekanbaru, Indonesia Abstract Barium zirconate titanate has piezoelectric and ferroelectric properties, making it an important composition in multilayer ceramic capacitors (MLCC). Barium zirconate titanate thin films with the composition of (0.8)BaTiO3(0.2)BaZr0.5Ti0.5O3 were annealed at 700oC and 750oC. The samples were prepared using the Sol-Gel method and then characterized using Ultraviolet-Visible (UV-Vis), Xray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), and Impedance Spectroscopy. The characterization results using UV-Vis for the 700oC and 750oC samples showed that the energy band gap values were 3.25 eV and 3.24 eV, respectively. The average grain size is 234.73, and 242.16 at 700oC and 750oC. Impedance spectroscopy characterization at a frequency of 100 Hz to 1 MHz obtained the highest dielectric constant of 3557 and 3542 with the highest capacitance values of 88.313 F and 80.881 F at 700oC and 750oC. Increasing the annealing temperature will produce larger capacitance and dielectric constant values so that the BT-BZT sample is can be good for application as a multilayer ceramic capacitor (MLCC). Keywords: BT-BZT thin film-energy band gap-grain size- dielectric constant- capacitance Share Link | Plain Format | Corresponding Author (Rahmi Dewi)

156	Physics	ABS-121
Thermodynamics Properties for Pseudospin Solution Dirac Equation in Modified Poschl-Teller plus Trigonometric Scarf II Potential Beta Nur Pratiwi, Subur Pramono, Gustin Vitria Aryanti Physics Department, Faculty of Science, UIN Sultan Maulana Hasanuddin Banten Abstract In this research article, the modified Poschl-Teller potential and trigonometric Scarf II non-central potential are applied to solve Dirac equation for pseudospin symmetries using asymptotic iteration method. By the separation of variables, the-one dimensional Dirac equation which consisting of the radial and angular parts can be obtained. The relativistic energy equation can be solved from the radial part, while the wavefunction can be determined from the radial and angular parts. Some thermodynamics properties can be determined by reducing the relativistic energy equation to be non-relativistic energy equation. All numerical results were carried out using computational method. Keywords: pseudospin symmetry of Dirac equation, modified Poschl-Teller potential, trigonometric Scarf II non-central potential, quantum thermodynamic properties Share Link | Plain Format | Corresponding Author (Beta Nur Pratiwi)

157	Physics	ABS-126
Installation of solar power plant and environmental monitoring system to increase hydroponic vegetable production Bakti Viyata Sundawa, Nicodemus Firman River Hutabarat, Cholish Politeknik Negeri Medan Abstract The demand for vegetables in Batubara Regency is very high. At this time, the supply of vegetables is still imported from Karo and Deli Serdang Regency. This is due to the geographical condition of Batubara Regency which is located in a coastal or seaside area so that the majority of the majority of its people work in the fisheries sector. This opportunity was taken by SMK Swasta Tengku Amir Hamzah Indrapura by building a 12x9 m green house to produce vegetables. Green house with an area of 12x9 m to produce vegetables. However, there are obstacles, namely that the school does not have a cheap source of electricity to increase the production of hydroponic vegetables. to increase hydroponic vegetable production. For Therefore, it is necessary to build an alternative electricity source in the form of a solar power plant. It saves monthly costs at the location of the green house and a smart system needs to be built at the green house and a smart system needs to be built in the green house to maintain and monitor the in order to maintain and monitor the parameters that parameters that affect the growth and development requirements of hydroponic vegetables such as temperature, humidity, and lighting. Keywords: solar power plant, monitoring system, hydroponic Share Link | Plain Format | Corresponding Author (Bakti Viyata Sundawa)

158	Physics	ABS-128
Optimizing Ergotropy in a Two-TLS Quantum Battery Choirun Nisaa Rangkuti (a,b*), Muhammad Shoufie Ukhtary (b) a) Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, Indonesia *choirun.nisaa[at]sci.ui.ac.id b) Research Center for Quantum Physics, National Research and Innovation Agency (BRIN), South Tangerang 15314, Indonesia Abstract This study introduces a model of a quantum battery composed of two key components: a charger and an energy holder. The charger is driven by a short laser pulse, which facilitates the energy transfer process. The model employs a two-level system, or qubit, as the energy holder, with a focus on optimizing ergotropy-the amount of work that can be extracted-by fine-tuning the interaction between the charger and the energy holder. A key aspect of the research is the exploration of the ^exceptional point,^ a critical factor that influences the battery^s behavior, dividing it into two distinct operational modes. This bifurcation impacts the efficiency of the charging and discharging processes, playing an important role in understanding and potentially enhancing the optimization of ergotropy in quantum battery performance. Keywords: quantum battery- ergotropy- exceptional point Share Link | Plain Format | Corresponding Author (Choirun Nisaa Rangkuti)

159	Physics	ABS-133
The Effectiveness of Using Case Method-based Mechanics Teaching Materials and Videos in QR Codes to Train Undergraduate Students Critical Thinking Skills Aprina Defianti, Sutarno Science Education Department, Faculty of Teacher Training and Education, University of Bengkulu Abstract This research aims to determine the effectiveness of using case method-based mechanics teaching materials and videos in QR codes on undergraduate students critical thinking skills. This research used a quasi-experimental method with post-test only control group design. A sample of 2 classes was taken using purposive sampling technique. The experimental class used case method-based mechanics teaching materials and videos in QR codes, while the control class used print-outs of material summaries. Data collection was carried out through observation and critical thinking skills tests. Critical thinking skills test results data were analyzed using descriptive and inferential statistics. To test the mean difference hypothesis, the t test of two independent samples non-homogeneous was used. The results of the t test showed that there is a difference in the average critical thinking skills scores of experimental class and control class students with t-count=2.911 which is greater than t-table=1.681 at df=42.62 (rounded up to 43). Based on these results, the use of case method-based mechanics teaching materials and videos in QR codes is effective in training students^ critical thinking skills with an effectiveness level of 0.82 (high impact). Keywords: Teaching Materials, Mechanics, Case Method, Videos in QR Codes, Critical Thinking Skills. Share Link | Plain Format | Corresponding Author (Aprina Defianti)

160	Physics	ABS-136
The Effectiveness of the ^Energy Teaching Kit^ Learn-ing Media to Foster the Computational Thinking of Grade 4 Students Based on Learning Styles Swasti Maharani*, Irna Tri Yuniahastuti, Vera Dewi Susanti, Hendrisa Rizqie Romandoni, Alief Arida Dhimas Atmojo Universitas PGRI Madiun Abstract This is an important skill as it helps students to identify simple solutions to complex problems. These strategies are important as they help students to improve their logical thinking and problem-solving skills by breaking down complex problems into simpler steps which can be used in solving various challenges. crucial computational thinking. This research aims to determine the effectiveness of the ^Energy Teaching Kit^ Learning Media to Foster the Computational Thinking of Grade 4 students based on learning styles. on learning outcomes in terms of students^ Computational Thinking. The popu-lation in this study were all class IV students at SDN 05 Madiun Lor. The samples in this study were taken using simple random sampling so that clas-ses IV C and IV A were selected. The data in this study were analyzed using Two Way ANOVA with Unequal Cells. The results of this research are that learning using ^Energy Teaching Kit^ learning media is better than learning without learning media which can be seen from Fobs = 15.7515 more than Ftable = 4.06 indicating that H0A is rejected, meaning that there are differences in students computational thinking. From the post-ANOVA follow-up test, it was concluded that students^ computational thinking with using ^Energy Teaching Kit^ learning media were better than without learning media. Keywords: Renewable Energy, Computational Thinking, Energy Teaching Kit, Learning Media Share Link | Plain Format | Corresponding Author (Swasti Maharani)

161	Physics	ABS-173
Analysis of megathrust potential and preparedness of junior high school students on Enggano Island towards disaster mitigation Henny Johan, Bhakti Karyadi, Muhammad Farid, sipriyadi, Umaya, Noni Noviana University of Bengkulu Abstract Please Just Try Regano Island is one of Indonesia^s outermost islands in Bengkulu province which is prone to earthquakes. The threat of megatrusts in Bengkulu province, especially Enggano Island, is very high. This research uses a qualitative descriptive method with the aim of exploring the potential and occurrence of earthquakes on Regano Island. Apart from that, it also aims to explore the preparedness of junior high school students on Enggano Island in facing the megathrust threat. This research involved junior high school students and science teachers on Enggano Island. The instruments used include questionnaires and interview guidelines. Based on the results that have been analyzed, it is known that Bengkulu province, especially Enggano Island, has a potential megatrhust threat. Geano Island is geologically located in a plate meeting zone known as a subduction zone. The very active plate activity in the subduction zone causes frequent earthquakes on Regano Island. The existence of an earthquake source under the sea causes earthquakes around Regano Island to also trigger tsunamis. Middle school students on Regano Island still need to be initiated to have preparedness and the ability to carry out mitigation. It can be concluded that Enggano Island is very vulnerable to the threat of earthquakes and potential tsunamis. Students^ preparedness for disaster mitigation needs to be provided through classroom-based learning or mitigation activities to instill student preparedness.to Submit This Sample Abstract You Can Edit It Again Later Keywords: megathrust potential, disaster mitigation, Enggano Island Share Link | Plain Format | Corresponding Author (Henny Johan)

162	Physics	ABS-178
Development of a Simple Instrument for Measuring Turbidity and Watercolor using the TCS3200 Color Sensor Modules Saumi Syahreza (a*), Raihan(a), Irhamni (a) a) Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh 23111, Aceh, Indonesia *ssyahreza[at]usk.ac.id Abstract Turbidity and color are physical/optical properties of water that are determined based on the amount of light absorbed and emitted by the materials contained in the water. This study aimed to develop a simple and inexpensive turbidity and color-measuring instrument. The instrument utilizes the principle of light reflection from the particles suspended in water. In this study, the TCS3200 color sensor module was used to detect light reflection which is this sensor integrated LED and photodiode as a light source and sensor. The intensity of the reflected light will be detected by the sensor and further into a current-to-frequency converted proportional to the magnitude of the current. The Arduino-Uno microcontroller was used to read input from the sensor, process, and then produce output/measurement results displayed on the LCD screen. In this study, yellow, green, and red-colored substances were made from a mixture of clay, spirulina, iron oxide, and distilled water determined in content for each (10 - 100 mg / l) used as samples in testing the instrument. The results showed that the output frequency of the designed equipment had a strong and significant relationship with turbidity (NTU) and reflectance at each wavelength. The output frequency increased as turbidity and reflectance increased. The results also demonstrated that the accuracy of turbidity and color measurements of the designed instrument were able to reach about 86,7 % to 88.80%. This designed equipment can measure water quality <5 NTU (clear) to > 25 NTU (cloudy) and at the same time distinguish four different types of water / liquid color (colorless/clear, yellow, green, and red) Keywords: Simple instrument, Turbidity, Water-color, Arduino-uno, TCS230 Color Sensor Module Share Link | Plain Format | Corresponding Author (Saumi Syahreza)

163	Statistics	ABS-42
Stochastic Models for Student^s Total Transportation Costs in Jakarta Suyono(a*), Ibnu Hadi (a), Yusuf Hartono (b), Tira Anugraheni (a), Zikri Muhammad Madani (a) a) Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jalan Rawamangun Muka, Jakarta 13200, Indonesia *) suyono[at]unj.ac.id b) Faculty of Teacher Training and Education, Universitas Sriwijaya, Palembang, Indonesia Abstract In this paper we consider two stochastic models for student^s total transportation costs in Jakarta. In the first model we apply the well-known renewal reward process. In the second model we incorporate a discount factor to the total transportation cost. In the two models we calculate the means and the variances of the total transportation cost in the time interval [0, t] where we use both parametric and non-parametric approaches. We also compare the accuracy in predicting the mean of the total transportation cost for the two models. Keywords: Renewal reward process- Discount factor- Laplace transform Share Link | Plain Format | Corresponding Author (Suyono Suyono)

164	Statistics	ABS-51
Modeling Tuberculosis in Children Under Five Using Poisson and Negative Binomial Regression Ahmad Fajri S (a*), Nur Rahmi (b), Putri Ayu Maharani (b), Muhammad Ikhlashul Amal (b) Institut Teknologi Bacharuddin Jusuf Habibie Abstract Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. Indonesia is the country with the second highest number of tuberculosis cases after India. The Ministry of Health stated that there has been a significant increase in cases of tuberculosis among children in Indonesia where the increase in cases of tuberculosis among children has reached more than 200 percent. The number of tuberculosis cases can be reduced if the factors that affect the number of tuberculosis patients are known. Therefore, efforts should be made to model the number of cases of Tuberculosis among children under five years of age to provide useful information to prevent and control Tuberculosis. The relationship between these factors and the number of people with Tuberculosis can be determined using Poisson regression analysis because the number of cases of Tuberculosis is calculated data. Tuberculosis data contain overdispersion, so another approach is used to overcome it, which is by using a negative binomial regression model. The best model obtained based on the AIC value is the Negative Binomial regression model with an AIC value of 184.095. For further research, it is suggested to test the spatial effect and modeling using the Negative Binomial geographic weighted regression method to find out whether the characteristics of one region and the other influence the geographic location on the model. Keywords: Negative Binomial regression- Overdispersion- Poisson regression- Tuberculosis Share Link | Plain Format | Corresponding Author (Ahmad Fajri S)

165	Statistics	ABS-69
Performance Bayesian quantile regression for modeling poverty line with Violation of Heteroscedasticity Assumption Lilis Harianti Hasibuan (a), Ferra Yanuar (b*), Dodi Devianto(b), Maiyastri(b) a) Faculty of Science and Technology Imam Bonjol State Islamic University Padang Jl.Sungai Bangek, Koto Tangah, Padang, Indonesia, 25153. lilisharianti[at]uinib.ac.id (b) Faculty of Mathematics and Natural Sciences, Andalas University Kampus Limau Manis, Padang, Indonesia, 25163. ferrayanuar[at]sci.unand.ac.id Abstract Bayesian quantile regression is a parameter estimation method that combines the concept of quantile analysis into the Bayesian approach. This study aims to implement the Bayesian quantile regression method in modeling the poverty line in West Sumatra. The poverty rate data violates one of the classical assumptions, namely that the data contains heteroscedasticity. This study considers the Bayesian quantile regression approach using the Gibbs sampling algorithm of the Bayesian method for fitting the quantile regression model. This research explores the performance of asymmetric Laplace distribution for working likelihood in posterior estimation process. The results showed that the best model for the poverty rate in West Sumatra was in the 0.5 quantile by producing an MSE value of 0.217 Keywords: Bayesian quantile regression- poverty line- Gibbs sampling- MSE Share Link | Plain Format | Corresponding Author (Lilis Harianti Hasibuan)

166	Statistics	ABS-97
The Effect of Various Example-Based Learning on Learning Performance and Satisfaction Aeng Muhidin (a*), Basuki Wibawa (a), Khaerudin (a), and Shinta Doriza (a) (a) Universitas Negeri Jakarta Jalan Rawamangun Muka No. 1, Rawamangun, Jakarta Timur, 13220, Indonesia * aengmuhidin[at]unpam.ac.id Abstract Example-based learning has been studied from different perspectives. Cognitive research has mainly focused on worked examples, which typically provide students with a written worked-out didactical solution to a problem to study. Social-cognitive research has mostly focused on modeling examples, which provide students the opportunity to observe an adult or a peer model performing the task. The present study aims to compare university students performance and satisfaction in various example-based learning. It involves paper-based examples (PBE), video-based examples (VBE) and mixed-based examples (MBE). An experimental study was administered with the participation of 36 undergraduate students who are enrolled in their third-year studies at a private university in Banten, Indonesia. The study findings reveal that MBE is superior in promoting students performance and satisfaction in example-based learning. Surprisingly, there was a drop in delayed test scores regardless of the example formats. It can be concluded that MBE stimulates higher learning performance and satisfaction. These findings complement previous studies with additional insight into learning satisfaction. Due to the focus of this study and the tendency of previous studies which were mainly experimental, it is recommended for future narrative studies in the future to disclose detailed performance and satisfaction per individual case. Keywords: example based learning, learning performance, satisfaction, statistics education Share Link | Plain Format | Corresponding Author (Aeng Muhidin)

167	Statistics	ABS-110
Determination of Important Variables in Divorce Type Classification Using the Random Forest Method with SMOTE Dania Siregar, Bintang Mahesa Wardana, Ahmad Syauqi Baihaqy, Liswatun Naimah, Dini Safitri, Qorry Meidianingsih, Almira Nindya Putri Universitas Negeri Jakarta Abstract Central Jakarta are a very strategically located region in the heart of the capital city of Indonesia and is the center of the city, government, history, tourism, and elite malls with easy access to various buffer areas of the city. This variety of facilities, however, does not guarantee perpetuity in domestic life in the region. This fact can easily be seen from the steadily increasing divorce rate in the region since 2017. An interesting thing to notice is that there is noticeably more divorce lawsuit filed by the wife than the husband. There are various factors that may lead to a divorce lawsuit such as continuous disputes and quarrels, economic factors, and domestic violence. And those factors certainly cannot be separated from the individual background of the married couple such as age, profession, the level of education, and the length of marriage. The purpose of this study is to determine the level of importance of the variables used to classify the type of divorce lawsuit filed in Central Jakarta using Random Forest. Random Forest is a development of the CART (Classification and Regression Tree) method obtained by applying bootstrap aggregating and random feature selection to a standard CART method. The results of this study indicate that the most important variables that may affect the type of divorce lawsuit filed is the age and profession of both the plaintiff and the defendant followed by the age of the marriage. The accuracy of the classification of lawsuit filed by the wife and the husband reaches around 90% and 70% respectively. Keywords: Clasification, Random Forest, SMOTE, Divorce Share Link | Plain Format | Corresponding Author (Dania Siregar)

168	Statistics	ABS-111
Comparison and Extension of Nonparametric Regression and Nonparametric-GWR when used as a Spatial Predictor Sifriyani Sifriyani [a*], I Nyoman Budiantara [b], Krishna Purnawan Candra [c], Syaripuddin [d], Wiwit Pura Nurmayanti [a], Nariza Wanti Wulan Sari [a], Ratna Kusuma [e], and Raudhatul Jannah [f] [a] Study Program of Statistics, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda 75119 Indonesia [b] Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111 Indonesia [c] Department of Agriculture, Faculty of Wet Tropical Agriculture, Mulawarman University, Samarinda 75119 Indonesia [d] Study Program of Mathematics, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda 75119 Indonesia [e] Study Program of Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda 75119 Indonesia [f] Student of Statistics Study Program, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Samarinda 75119 Indonesia Abstract In this study, comparison and extension of nonparametric regression models and geographically weighted nonparametric regression with truncated spline approach. Geographically Weighted Spline Nonparametric Regression (GWSNR) is a combination of nonparametric truncated spline regression with Geographically Weighted Regression (GWR) as a development of nonparametric regression on spatial data when the regression curve is unknown. GWSNR combines the spatial properties of GWR with nonparametric truncated spline regression that allows the model to capture local variations in the relationship between variables at various locations. The nonparametric regression component uses a truncated spline estimator and uses weighted kernel function of bisquare and Gaussian. The selection of the best weighted function is based on the minimum Generalized Cross Validation (GCV) value. The case study in this study is rice productivity based on 34 Provinces in Indonesia. The results showed the best GWSNR model using Gaussian kernel function weighted with minimum GCV value and optimal number of knot points. Keywords: Spatial Statistics, Nonparametric Regression, Nonparametric-GWR, Spline, Statistical Modeling Share Link | Plain Format | Corresponding Author (Sifriyani Sifriyani)

169	Statistics	ABS-130
Performance Evaluation of Word Embedding Techniques in Sentiment Analysis Based on LSTM Faroh Ladayya (a), Widyanti Rahayu(a), Dania Siregar(a), Ferdiansyah Rizki Saputra(a), Thoriq Akbar Maulana(a) (a)Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta Abstract Writing. These opinions can be used as feedback on a product, both goods and services. Sentiment analysis utilized for analyzing opinions given by the public via social media. The sentiment contained in an opinion can be positive, negative or neutral. In this research sentiment analysis makes use of Long Short-Term Memory (LSTM) to classify sentiment into positive, negative or neutral. For classifying sentiment using LSTM, it is necessary to transform text form social media into vector. Thus, word embedding technique are used to convert text into vector. The vector that had been obtained used as input for LSTM. In this study we combine LSTM and several word embedding techniques, namely, Word2Vec, GloVe, ang FastText, Evaluation and comparison were carried out to obtain the best classification performance. Classification performance is compared not only from accuracy, considering that the data used in this research is imbalanced data, it is also important to evaluate the values of precision, recall, F1-score, and ROC/AUC. The analysis results showed that LSTM can effectively learn the sentiment from social media along with word embedding. Further experiments are needed to verify the performance of LSTM with another word embedding technique. Keywords: Long-Short Term Memory, Sentiment Analysis, Word Embedding Share Link | Plain Format | Corresponding Author (Faroh Ladayya)

170	Statistics	ABS-175
THE LECTURERS^ INTEREST IN STEM AFTER ATTENDING THE WORKSHOP STEM DESIGN-BASED LEARNING FOR LECTURERS Khaola Rachma Adzima, S.Pd., M.Si. (a)*, Nilam Novita Sari, M.Stat. (b), Tiara Husnul Khotimah, S.Pd., M.Si. (c) (a) Mathematics Education, Universitas Negeri Jakarta, Indonesia (b) Statistics, Universitas Negeri Jakarta, Indonesia (c) Mathematics Education, Universitas Negeri Jakarta, Indonesia Abstract Science, technology, engineering, and mathematics (STEM) approach has of-ten been applied to the learning method in school but still rarely applied on campus. There are many factors that cause lecturers not to use a STEM ap-proach in their learning, such as the difficulty of the materials, the efforts to apply STEM, and the lecturers^ interest in STEM. The aim of this study is to know whether the lecturers^ interest in STEM were increased after partici-pated in the workshop STEM for two weeks. The sample of this study is 18 lecturers in Mathematics and Natural Sciences Faculty who participated in the Workshop STEM Design-Based Learning for Lecturers. The instrument test was designed based on previous study and developed based on research objectives. The result of validity test using Pearson Product Moment showed that p-value of all items in the instrument were < 0.05 and the re-sult of the Cronbach Alpha test is 0.946 which means that the instrument was valid and reliable. Wilcoxon Signed Ranked Test was used in the hy-pothesis test with p-value = 0.001 < 0.05 which means that H0 is rejected. The result showed that the lecturers^ interest in STEM were increased after they participated in Workshop STEM Design-Based Learning for Lecturers. However, the STEM implementation in learning strongly influenced by the lecturers^ interest in STEM. One of the efforts to increase the lecturers^ in-terest in STEM is by conducted the workshop STEM for lecturers. Keywords: STEM, lecturer, the lecturer^s interest Share Link | Plain Format | Corresponding Author (Khaola Rachma Adzima)

171	Statistics	ABS-186
Structural Equation Modeling for Analyzing the Relationships among Packaging, Perceived Quality, Customer Satisfaction, and Business Competitiveness in Food Products Dian Handayani (a*), Fitriana Era Madani (b), Dania Siregar (a) a) Study Program of Statistics, Universitas Negeri Jakarta (INDONESIA) *dianh[at]unj.ac.id b)Research Division, SWA Media Group (INDONESIA) Abstract Customer satisfaction is one of the important things which should be taken into account by food manufacturer to win the business competition. There are some factors which can contribute to customer satisfaction. This study aims to analyze the relationships between packaging, perceived quality, customer satisfaction, and business competitiveness in food products by using structural equation modelling. The categories of food products which are specified in this study are instant noodles in cup packaging, wafer cookies and malkist biscuits. Based on the Top Brand Index (TBI) 2021, Pop Mie, Tango Wafer and Roma Malkist Crackers have the largest TBI from categories of instant noodles in cup packaging, wafer cookies and malkist cookies respectively. We specify the criteria for our sample respondents are those who have purchased at least twice for Pop Mie, Tango Wafer and Roma Malkist Crackers. The sample respondents are from Jakarta, Bogor, Depok, Tangerang and Bekasi. Data collection was carried out by administering online questionnaire during June 2021. The results indicate that perceived quality has a significant direct effect on customer satisfaction and has a significant indirect effect on business competitiveness. Product packaging has significant direct effect to customer satisfaction, but it is not significant as indirect effect to business competitiveness (&#945-=0.05).The variability of customer satisfaction which can be explained by perceived quality and product packaging is 88%. Meanwhile, the variability of business competitiveness that can be explained by customer satisfaction is 64%. Keywords: diagonally weighted least square- direct effect- indicator variable-indirect effect- latent variable Share Link | Plain Format | Corresponding Author (Dian Handayani)

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