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All Journal Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Bersama Pengabdian Kepada Masyarakat
Victor Asido Elyakim P
STIKOM Tunas Bangsa
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Effect of Population Density on Sex Ratio in North Sumatera Province Rahma Dhea Safitri; Rizky Nurhasanah; Regita Audyna Siregar; Victor Asido Elyakim P; Yuegilion Pranayama Purba
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i2.6012

Abstract

This study evaluates the effect of population density on the sex ratio in North Sumatra Province based on 2025 data. This study collected data on population size, land area, and sex ratio from each district and city in the province. Population density was calculated as the result of dividing the population by the land area, then its relationship with the distribution of male and female ratios in each region was analyzed. Data were quantitatively analyzed using statistical correlation approaches, such as Pearson correlation and simple linear regression, to identify potential relationships between density levels and sex ratio differences. The research results indicate that the relationship between population density and the sex ratio in North Sumatra Province is very weak and not statistically significant. The Pearson correlation coefficient value of -0.114 and the coefficient of determination (R²) of 0.013 show that only about 1.3% of the variation in the sex ratio can be explained by population density. These findings indicate that other factors, such as age composition, selective migration, economic structure, as well as socio-cultural factors and local policies, are more dominant in shaping the sex ratio between regions. Nevertheless, these findings provide initial insights into the social dynamics of the population as a basis for more comprehensive regional planning and demography-based development policies.
Public Sentiment Analysis of the Agrarian Conflict between PT TPL and the Toba Simalungun Indigenous Community Using the SVM Method Dian Yusri Andira; Deswita Maharani Harahap; Vibiola Br Damanik; Indah Frian Sari; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 3 (2025): September 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i3.6116

Abstract

The agrarian conflict between PT Toba Pulp Lestari and the Toba Simalungun indigenous community has generated diverse public opinions on social media. This study aims to analyze public sentiment regarding the conflict using the Support Vector Machine (SVM) method based on TikTok comment data. A total of 1,751 comments were collected via the TikTok API and processed through cleaning, normalization, stopword removal, and stemming. Sentiment labeling was performed automatically with a lexical-based approach, followed by feature weighting using Term Frequency-Inverse Document Frequency (TF-IDF). The SVM model was used to classify public sentiment into two main categories, namely positive and negative. The results of the testing showed that the SVM model was able to achieve an accuracy of 80%, with excellent performance in detecting negative sentiment. Additional analysis through wordcloud visualization shows the dominant words in each sentiment category, which reinforces the model's classification results. The findingsof this study provide an objective picture of public opinion patterns on social media, while also demonstrating the potential application of machine learning-based sentiment analysis methods to understand public perceptions of other social issues in the future.
Classification of Village Development Index in North Sumatra Using the Support Vector Machine (SVM) Method Yayang Arum Kemangi; Daniel Desmanto Sihombing; Permaisuri Siregar; Sella Ujani; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 3 (2025): September 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i3.6117

Abstract

The classification of the Village Development Index (IDM) status is a fundamental component in formulating targeted and effective village development policies. However, the conventional classification process is often slow and inefficient, thereby reducing the data's relevance for dynamic decision-making. This research aims to design and evaluate an automatic classification model for the IDM status in 5,417 villages in North Sumatra Province using the Support Vector Machine (SVM) method. By utilizing secondary data from 2024, this model uses three main sub-indices—the Social Resilience Index (IKS), the Economic Resilience Index (IKE), and the Environmental Resilience Index (IKL)—as predictor variables to map villages into five status categories. The implementation of the SVM model with a Radial Basis Function (RBF) kernel was chosen to handle the complex non-linear relationships between variables. The evaluation results on the test data show superior performance, with an overall accuracy rate reaching 96.77%. The model's performance proved to be very strong, particularly in identifying the 'Developing' class with a perfect recall (1.00) and the 'Independent' class with perfect precision (1.00). Although minor challenges were found in distinguishing between adjacent classes such as 'Disadvantaged' and 'Developing', the high F1-score across all classes confirms a good balance between precision and recall. This study concludes that the SVM method is a highly reliable and valid approach for automating IDM classification, and it offers significant implications as a fast and accurate evidence-based decision support tool for local government
Implementasi Metode Jacobi dan Gauss-Seidel pada Penyelesaian Sistem Persamaan Linear: Analisis Konvergensi dan Efisiensi Komputasi menggunakan Python Yuegilion Pranayama Purba; Victor Asido Elyakim P
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 3 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i3.8776

Abstract

Systems of linear equations are fundamental problems in numerical computation and are widely used in engineering, physics, economics, and computer science. Solving large systems of linear equations requires efficient numerical methods, particularly when the coefficient matrix is sparse or diagonally dominant. This study aims to compare the performance of the Jacobi and Gauss-Seidel methods in solving diagonally dominant systems of linear equations using Python. The experiments were conducted on three matrix sizes, namely 3×3, 5×5, and 10×10. The evaluation focused on the number of iterations, final error, Root Mean Square Error, computation time, and speedup. The implementation was carried out using Python 3.12 with the NumPy and Matplotlib libraries. The results show that both methods can produce numerical solutions close to the reference solution. However, the Gauss-Seidel method demonstrates better performance in all test scenarios. In the 10×10 matrix test, the Gauss-Seidel method reached convergence in 20 iterations, while the Jacobi method required 32 iterations. This indicates a 37.50% reduction in the number of iterations. The average speedup of Gauss-Seidel over Jacobi reached 1.85 times. These findings indicate that the Gauss-Seidel method is more efficient for solving diagonally dominant systems of linear equations in a Python-based computing environment.
Meningkatkan Motivasi dan Kecerdasan SMA Melalui Lomba Cerdas Cermat di Kota Pematangsiantar Victor Asido Elyakim P
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 3 No. 3 (2024): Agustus 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v3i3.4042

Abstract

This community service activity was carried out with the aim of supporting the Coordinator of Community Policy Supervision-RI in the preparation of a technical meeting to prepare for the 2023 CabDis Cup quiz competition. This activity is designed to facilitate the preparation of competition materials that are relevant to national policies, so as to increase public understanding, especially the younger generation, of public policy issues. This community service involves a series of technical preparation activities, such as preparing meeting agendas, determining assessment criteria, and planning competition socialization strategies so that the 2023 CabDis Cup quiz competition can take place properly. The methodology used includes focused discussions with the Coordinator team, as well as the participation of Pematangsiantar City High School in the planning process so that the material and mechanism of the competition can be adjusted to the needs and interests of the participants. The results of this activity show that the role of community service is effective in improving coordination and technical preparation of the competition, which in turn has a positive impact on the enthusiasm and participation of Pematangsiantar City High School in the quiz competition. In addition, this activity also provides educational experiences for participants regarding the importance of understanding public policy. It is recommended that similar activities be carried out periodically to strengthen community involvement in supporting national policies
Efektivitas Lomba Cerdas Cermat dalam Meningkatkan Motivasi dan Literasi Kebijakan Siswa SMA Yuegilion Pranayama Purba; Victor Asido Elyakim P
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 5 No. 2 (2026): Mei 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v5i2.7878

Abstract

This community service-based research aims to analyze the effectiveness of implementing a Quiz Competition (Lomba Cerdas Cermat/LCC) as a strategy to enhance learning motivation and public policy literacy among senior high school students in Pematangsiantar City. The study employs a descriptive approach combining quantitative and qualitative methods. Data were collected through observation, interviews, and pre-test and post-test assessments administered to participants. The results indicate a significant improvement in students’ understanding of public policy, as reflected by an increase in average scores from 65% before the activity to 85% after its implementation. In addition, the participant satisfaction rate reached 90%, suggesting that the LCC is effective as an interactive and participatory learning medium. The activity also contributed to the development of students’ critical thinking skills, collaboration abilities, and active engagement with public policy issues. These findings demonstrate that competition-based learning approaches can create a more engaging, challenging, and meaningful learning environment. Therefore, the LCC can be recommended as an innovative educational model that can be sustainably developed to support the improvement of educational quality and public policy awareness among the younger generation.
Pengenalan dan Penerapan Teknologi Informasi kepada Siswa Sekolah Dasar 122337 untuk Meningkatkan Literasi Digital Rizky Nurhasanah; Yuegilion Pranayama Purba; Rahma Dhea Safitri; Regita Audyna Siregar; Victor Asido Elyakim P
Jurnal Bersama Pengabdian Kepada Masyarakat (SAMAMAS) Vol. 1 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/samamas.v1i2.273

Abstract

This community service program aims to introduce and equip sixth-grade students at SD Negeri 122337 with fundamental digital literacy skills. Digital literacy is an essential competency in navigating the increasingly complex digital era, especially for younger generations. The program was conducted over two days by lecturers and students from STIKOM Tunas Bangsa Pematangsiantar, using participatory and engaging learning methods. The implementation strategies included interactive material delivery, hardware usage demonstrations, and hands-on practice with educational software. The results indicated a significant improvement in students' understanding of technology usage. Students not only gained functional knowledge about technology but were also trained to use it wisely and productively in both educational contexts and daily life. The evaluation was carried out qualitatively through observations and direct student feedback. This program demonstrates the effectiveness of educational approaches in enhancing digital literacy at the elementary school level. Although there were limitations in direct practical facilities, visualization and reflective discussion methods proved effective in building students' understanding and confidence. This program is an important first step in preparing the younger generation to face the challenges of the digital era.
Membangun Generasi Digital: Pelatihan Pemrograman Web dan AI untuk Siswa SMA Negeri 2 Pematangsiantar Victor Asido Elyakim P; Fransco Immanuel G Siahaan; Andrea Erich; Ahmad Ryandika; Ferdy Prayogi
Jurnal Bersama Pengabdian Kepada Masyarakat (SAMAMAS) Vol. 1 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/samamas.v1i2.274

Abstract

This activity is part of the Community Service Program aimed at introducing the basics of web programming to students of SMA Negeri 2 Pematangsiantar. The program was initiated due to the limited access and knowledge of students regarding web development technology, despite the high demand for such competencies in facing digital transformation across various sectors. The material was delivered interactively through lectures, live coding demonstrations, open discussions, and simple case studies. Topics covered include the basic structure of web development such as Frontend, Backend, and Databeses as well as three main technologies: HTML, CSS, and JavaScript. The activity was designed not only to help students understand the theoretical concepts but also to allow them to see practical implementations firsthand. Evaluation was conducted through observation of student participation and discussions, which indicated that the students were very enthusiastic, actively asked questions, and some were even interested in continuing to learn independently. These results demonstrate that this Program activity is effective in improving digital literacy and increasing student interest in web programming. It is hoped that similar activities can be conducted continuously to faster a generation ready to face future technological challenges
Pelatihan Teknologi dan Etika Profesi dalam dunia Gereja untuk Meningkatkan Kualitas Pelayanan Digital Jemaat Victor Asido Elyakim P; Yuegilion Pranayama Purba
Jurnal Bersama Pengabdian Kepada Masyarakat (SAMAMAS) Vol. 1 No. 4 (2025): Desember 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/samamas.v1i4.550

Abstract

The rapid advancement of information technology has brought significant impacts to various sectors, including religious institutions, compelling churches to adapt to ensure services remain relevant, effective, and transparent. However, adopting technology without a strong foundation of professional ethics risks serious issues, such as information misuse, violations of congregation data privacy, and a decline in service integrity. This community service activity aims to enhance technological competence and understanding of professional ethics for 35 participants, comprising church ministers, administrators, multimedia teams, and youth at the GKPI Sikhem Hall. The activity was conducted over two days, from September 5–6, 2025, utilizing participatory and applicative approaches. Training methods included interactive lectures, demonstrations, hands-on practice in data management and live streaming, discussions on ethical case studies, and digital service simulations. Post-training evaluation yielded positive results: 85% of participants understood basic technology usage , 90% grasped the importance of digital ethics , and 80% were capable of applying technology in actual service. Participants are now able to operate administrative applications, maintain data confidentiality, and practice courteous digital communication. It is concluded that integrating technical competence with professional ethics is crucial; therefore, continuous mentoring is recommended to maintain the consistency of the church's digital service quality.
Co-Authors Adinda Febiola Ahmad Ryandika Aklima Laduna Ramadya Alisa Putri Amanda Nasution Andrea Erich Aprillya Zahra Iswandy Lubis Auralia Izmi Ayu Utari Nasution Bagas Adi Nata Baginda Faustine Sinaga Daniel Desmanto Sihombing Deswita Maharani Harahap Dian Yusri Andira Dika Chryston Purba Dimas Prayogi Dongan Parulian Hutasoit Ega Wahyu Andani Eko Prima Ambarita Fahriya Ardiningrum Ferdy Prayogi Fernando Siahaan Fransco Immanuel G Siahaan Haya Atiqah Tampubolon Heba Elsisy Fadlia Indah Frian Sari Jeremi Sibarani M Arif Y Sinaga M Ilham Azharsum M.Alfathan Haris Michael Orlando A. Purba Mirza Afif Pradivta Muhammad Rizky Ramadhan Nurhidayanti Nurhidayanti Olivia Diwani Saragih P.A.M. Zidane R.W.P.P. Zer Permaisuri Siregar Rahma Dhea Safitri Ratih Manalu Regita Audyna Siregar Rizky Nurhasanah Sella Ujani Siti Asiah Tiara Dwi Lestari Purba Vibiola Br Damanik Wanda Riana Wilman Arif Telaumbanua Yayang Arum Kemangi Yuegilion Pranayama Purba