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All Journal Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) INFOKUM Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Sistem Informasi dan Teknologi Jaringan International Journal of Basic and Applied Science Jurnal Media Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) DISTANCE: Journal of Data Science, Technology, and Computer Science Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Nuansa Informatika Jurnal Sistem Informasi Galuh Jurnal Ilmu Pendidikan dan Humaniora Jurnal Pengabdian Masyarakat Nauli
Manurung, Jonson
Universitas Pertahanan Republik Indonesia, Bogor, Indonesia
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Physics Social Sciences Transportation

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PKM : Penyuluhan dan Pelatihan Kemampuan Dasar Komputer Bagi PNS Dinas Kependudukan dan Catatan Sipil Kabupaten Samosir: Penyuluhan dan Pelatihan Kemampuan Dasar Komputer Bagi PNS Dinas Kependudukan dan Catatan Sipil Kabupaten Samosir Agustina Simangunsong; Bosker Sinaga; Jonson Manurung
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 2 No. 1, Mei (2019): TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (541.431 KB)

Abstract

Pengabdian Kepada Masyarakat adalah suatu upaya STMIK Pelita Nusantara Medan untuk memberikan sumbangsih ilmu pengetahuan dan teknologi kepada masyarakat. Berdasarkan hal ini, kami mengajukan usulan kegiatan Pengabdian Kepada Masyarakat di Pegawai Dinas Kependudukan dan Catatan Sipil Kabupaten Samosir. Tujuan Pengabdian Kepada Masyarakat ini adalah untuk memberikan pengetahuan dan keterampilan dasar komputer dan teknologi informasi kepada Pegawai PNS dan Non PNS di Dinas Kependudukan dan Catatan Sipil Kabupaten Samosir . Pelatihan ini diharapkan memberikan bekal kepada Pegawai PNS dan Non PNS tentang manfaat komputer dan teknologi informasi khususnya internet bagi pengembangan ilmu pengetahuan serta Pelayanan Kepada Pasyarakat. Target luaran yang diharapkan dari kegitan ini adalah 1) Pegawai PNS dan Non PNS dapat menggunakan Komputer dalam menjalankan Tugas nya sebagai pelayan masyarakat, 2) Masyarakat dapat terlayani dengan cepat dan tepat.
Clustering method for predicting campaign results based on voter and candidate characteristics Jonson Manurung; Sethu Ramen; Logaraj Logaraj
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.4108

Abstract

This research applies clustering method with K-Means algorithm to analyze voter preferences and predict campaign outcomes based on voter and candidate characteristics in the context of political elections. By collecting and processing data on age, education, occupation, and candidate preferences, we apply K-Means to cluster voters into groups with similar patterns. The cluster results reveal similar political views and candidate preferences within each group of voters. By correlating the cluster results with previous election data, we are able to predict campaign outcomes with an accuracy that is beneficial for more careful and effective campaign strategies. This research contributes to a deeper understanding of the use of clustering methods in the context of political elections and its relevance in formulating successful campaign strategies.
Implementasi Metode Geolocation Menggunakan Teknologi Webcam pada Sistem Absensi Pegawai Muthmainnah, Ihmatull; Christanto, Febrian Wahyu; Manurung, Jonson; Sidiq, Maulana
Jurnal Sistem Informasi Galuh Vol 2 No 2 (2024): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v2i2.3961

Abstract

PT Omni Electrindo is a distributor of electrical components located at Jalan Sidodadi Timur No.22 Semarang still finds many problems in managing employee work absences. Attendance is still managed using Microsoft Excel and data is retrieved manually. At the beginning of 2020 there was an outbreak of the 2019 Coronavirus (Covid-19) which shook the world community, so the government issued a policy of limiting activities outside the home. In accordance with government policy, PT Omni Electrindo carries out work from home in turns. Based on this background, the researcher created an employee attendance system using geolocation and webcam methods in the HRIS application and using a prototype method which is expected to assist personnel in managing employee attendance data who work from home. In the system testing process, the results of the performance test were obtained with a score of B (74%) and resulted in a percentage of the results of the user questionnaire with 22% of respondents from a total of 60 employees at PT Omni, namely 91% of respondents choosing very good and 9% choosing good. Based on the test results obtained, the attendance recording process which previously took 20-30 minutes, now only takes 5 minutes. With this employee attendance system, it is expected to be able to assist the personnel and employees in the attendance process quickly and accurately.
Application of with C4.5 algorithm to measure the level of student satisfaction with student services Sinaga, Bosker; Manurung, Jonson; Br Tarigan, Nera Mayana; Br Sitepu, Siska Feronika; Barus, Nadela
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11774

Abstract

In measuring the level of student satisfaction with student services, it is better to use a method/algorithm to find out how much in certain criteria/services the level of student satisfaction and which services need to be improved. In providing student services, it has been going well, but the difficulty in measuring the level of student satisfaction with student services has not used an algorithm. Data mining as a data mining technique is very important to use in extracting data from measurements that have been carried out so far. Data mining in analyzing data uses several algorithms, one of which is the C4.5 algorithm. The research method is the survey research method, which is a survey research method. This is a research method conducted using surveys or collecting data through research respondents. The purpose of this study is how to apply data mining with the C4.5 algorithm in measuring the level of student satisfaction with student services. This study targets the measurement results of academic criteria/services, guidance and counseling services, interest and talent services, scholarship services and health services. The results of this study were to determine the role of the decision tree on measuring the level of student satisfaction with student services.
SALES PREDICTION AT PT. GILANG PRATAMA USING THE MONTE CARLO SIMULATION METHOD Manurung, Jonson; Sihotang, Amran; Ramen, Sethu; Logaraj, Logaraj
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1159

Abstract

Simulation can help solve everyday problems such as problems that exist at PT. Gilang Primary. With a simulation application that can estimate the number of sales is very important for the company. If the manager can predict the number of sales, the cost of procuring and storing goods can be minimized. One approach that can be taken to estimate the number of sales is by way of simulation. This study uses the Monte Carlo method in managing data and analyzing inventory or determining the amount of goods to be sold in the next period at PT. Gilang Pratama with sampling from the process of random numbers (Additive Random Number). Data processing uses sample data based on sales history data in the previous year
Exploring the Impact of Slang Usage Among Students on WhatsApp: A Dig-ital Linguistic Analysis Manurung, Jonson; Napitupulu, Merlin Helentina; Simangunsong, Humala
Jurnal Ilmu Pendidikan dan Humaniora Vol. 11 No. 2 (2022): May: Education and Humanities
Publisher : Insan Akademika Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jiph.v11i2.21

Abstract

This research delves into the dynamic world of informal language usage among students on the popular messaging platform, WhatsApp. As digital communication becomes an integral part of daily life, the study examines the frequency, variability, motivations, and social dynamics of slang usage among students. Through surveys, interviews, and, where possible, data analysis of WhatsApp conversations, the research uncovers the complex interplay between language, technology, and human connection in the digital realm. The findings reveal that slang is not merely a linguistic phenomenon but a reflection of the adaptability of language in the digital age. It serves as a linguistic bridge that enables informal communication in digital interactions. The lexicon of slang is diverse and ever-evolving, reflecting the cultural and social context in which it thrives. Motivations for slang usage go beyond humor and informality, extending to self-expression, emotional connection, and the formation of digital identities. Slang enhances social bonds and fosters a sense of belonging among peers, shaping the quality of digital interactions. Demographic variations in slang usage demonstrate its context-dependent nature, influenced by factors such as age, gender, and geographical location. Slang's impact on digital communication is significant, enhancing informal exchanges while presenting challenges, particularly in cross-cultural interactions. This research underscores the importance of digital literacy and cross-cultural understanding in online interactions and has implications for education, linguistic research, and cross-cultural communication. As the digital landscape continues to evolve, this research offers a deeper understanding of the role of language in shaping human connections in the digital age. It calls for ongoing exploration into the ever-changing linguistic dynamics of digital communication and its profound impact on contemporary society.
Customer segmentation analysis using DBSCAN method in marketing research of retail company Saragih, Hondor; Manurung, Jonson
Jurnal Teknik Informatika C.I.T Medicom Vol 16 No 5 (2024): November : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol16.2024.906.pp321-328

Abstract

Customer segmentation is an important aspect of an effective marketing strategy, yet many traditional methods are unable to capture the complexity of diverse customer behaviors. This research aims to apply the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) method for customer segmentation in retail companies, focusing on identifying patterns of purchasing behavior and product preferences. Data was collected through a questionnaire distributed to 500 respondents, then analyzed using the DBSCAN method. The results showed that DBSCAN successfully identified several customer segments with unique characteristics, and provided an average Silhouette Score of 0.67 and Davies-Bouldin Index of 0.45, indicating good cluster quality. The findings imply that a density-based approach can improve a company's understanding of customer dynamics, and enable the development of more targeted and effective marketing strategies. This research makes an important contribution to the marketing literature, while opening up opportunities for further exploration of the use of machine learning methods in customer segmentation.
Deep learning approaches for analyzing and controlling rumor spread in social networks using graph neural networks Manurung, Jonson; Sihombing, Poltak; Andri Budiman, Mohammad; Sawaluddin, Sawaluddin
Bulletin of Electrical Engineering and Informatics Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i1.8143

Abstract

The pervasive influence of social networks on information dissemination necessitates robust strategies for understanding and mitigating the spread of rumors within these interconnected ecosystems. This research endeavors to address this imperative through the application of a graph neural network (GNN) model, designed to capture intricate relationships among users and content in social networks. The study integrates user-level attributes, content characteristics, and network structures to develop a comprehensive model capable of predicting the likelihood of rumor propagation. The proposed model is situated within a broader conceptual framework that incorporates sociological theories on information diffusion, user behavior, and network dynamics. The results of this research offer insights into the interpretability of the GNN model’s predictions and lay the groundwork for future investigations. The iterative refinement of the model, consideration of ethical implications, and comparison against traditional machine learning baselines emerge as crucial steps in advancing the understanding and application of deep learning methodologies for rumor control in social networks. By embracing the complexities of real-world scenarios and adhering to ethical standards, this research strives to contribute to the development of proactive tools for rumor management, fostering resilient and trustworthy online information ecosystems.
Deteksi Tepi Citra Dengan Metode Laplacian of Gaussian Dan Metode Canny Sinaga, Bosker; Manurung, Jonson; Silalahi, Monalisa Hotmauli; Ramen, Sethu
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.401

Abstract

The research conducted is testing the accuracy of the level of similarity of the management of STMIK Pelita Nusantara. The facial images tested were 17 images and 136 tests in each method (Laplacian of Gaussian (LoG), Canny, and the combination of LoG + Canny). Tests were carried out using Matlab R2017b. From the test results, the researchers concluded that the accuracy of the highest level of similarity is the Laplacian of Gaussian method, namely images 12 and 17 with a percentage of 99.85%, then the Canny method, namely images 4 and 7 with a percentage of 99.53% and the lowest is the combination of the two methods. (LoG + Canny) namely images 6 and 13 with a percentage of 98.14%. And the highest average accuracy of the similarity window is the Laplacian of Gaussian method with a percentage of 49.91%, then the Canny method with a percentage of 38.19% and the lowest is the combination of the two methods (LoG + Canny) with a percentage of 37.81%.
Deteksi Tepi Citra Dengan Metode Laplacian of Gaussian Dan Metode Canny Sinaga, Bosker; Manurung, Jonson; Silalahi, Monalisa Hotmauli; Ramen, Sethu
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.401

Abstract

The research conducted is testing the accuracy of the level of similarity of the management of STMIK Pelita Nusantara. The facial images tested were 17 images and 136 tests in each method (Laplacian of Gaussian (LoG), Canny, and the combination of LoG + Canny). Tests were carried out using Matlab R2017b. From the test results, the researchers concluded that the accuracy of the highest level of similarity is the Laplacian of Gaussian method, namely images 12 and 17 with a percentage of 99.85%, then the Canny method, namely images 4 and 7 with a percentage of 99.53% and the lowest is the combination of the two methods. (LoG + Canny) namely images 6 and 13 with a percentage of 98.14%. And the highest average accuracy of the similarity window is the Laplacian of Gaussian method with a percentage of 49.91%, then the Canny method with a percentage of 38.19% and the lowest is the combination of the two methods (LoG + Canny) with a percentage of 37.81%.
Co-Authors Agus Firmansyah Agustina Simangunsong Al Hashim, Safa Ayoub Amran Sitohang Andri Budiman, Mohammad Azhar Prabukusumo, Muhammad Barus, Nadela Bosker Sinaga Bosker Sinaga Bosker Sinaga, Bosker Sinaga Br Sitepu, Siska Feronika Br Tarigan, Nera Mayana Dhaifullah, Rendi Hanif Erika Novianti Eryan Ahmad Firdaus Febrian Wahyu Christanto Ferdinand Tharorogo Wau Firdaus Laia Firdaus Situmorang Hanan, Rohman Ali Hardy Priyatno Ambarita Harpingka Sibarani Hasugian , Paska Marto Hidayati, Ajeng Hondor Saragih Johanes Perdamenta Sembiring Kadin Darlianto Tinambunan Kanur L. P. Situmorang Logaraj Logaraj Logaraj, Logaraj M Azhar Prabukusumo Maria Siahaan Maya Theresia Br. Barus Maya Theresia Br. Barus Merlin Helentina Napitupulu Mina Kumari Muthmainnah, Ihmatull Nuriansyah, Agam Pandiangan, Boyner Poltak Sihombing Prabukusumo, Muhammad Azhar Putra, Muhammad Ridho Alghifari Ramen, Sethu Rinaldy Chaniago Sawaluddin Sawaluddin, Sawaluddin Sethu Ramen Sethu Ramen, Sethu Ramen Sidiq, Maulana Sihombing, Agus Putra Emas Sihotang, Amran Silalahi, Monalisa Hotmauli Simangunsong, Humala Sinaga, Ryan Fahlepy Sri Kumala Sari Topik Hidayat Uzitha Ram Vernando, Deden