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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal Information System Development ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science Majalah Ilmiah Warta Dharmawangsa JTIK (Jurnal Teknik Informatika Kaputama) JUKI : Jurnal Komputer dan Informatika Jurnal Manajemen Informatika Jayakarta Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Journal of Vision and Ideas (VISA) Jurnal Pengabdian Masyarakat IPTEK EXPLORER Bulletin of Multi-Disciplinary Science and Applied Technology Journal Of Human And Education (JAHE) Journal of Information Systems and Technology Research Sci-Tech Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Ulead : Jurnal E-pengabdian Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) JOURNAL OF ICT APLICATIONS AND SYSTEM Jurnal Teknik, Komputer, Agroteknologi dan Sains Zadama: Jurnal Pengabdian Masyarakat TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Pengabdian Pendidikan Indonesia (PPI) Jurnal Ilmu Komputer dan Sistem Informasi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Saturnus: Jurnal Teknologi dan Sistem Informasi KETIK : Jurnal Informatika International Journal of Information Technology and Business Ulil Albab Pascal: Journal of Computer Science and Informatics Journal of Computer Science Artificial Intelligence and Communications Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak Global Science: Journal of Information Technology and Computer Science Journal of Data Science and Informatics Engineering Journal of Information Technology and Systems Engineering

Rusmin Saragih, Rusmin

STMIK Kaputama

Author-ID : 2547035

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 93 Documents Claim Missing Document

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Diagnosa Penyakit Chikungunya Menggunakan Metode Certainty Factor Ikhsan Arif; Achmad Fauzi; Rusmin Saragih
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.330

Chikungunya is a disease caused by the Chikungunya virus (CHIKV) transmitted by Aedes aegypti and Aedes albopictus mosquitoes. Some of the symptoms are sudden fever, chills, pain in the joints, muscle pain in the neck, shoulders and limbs, rash. Treatment of sufferers is aimed at complaints and symptoms that arise and the drugs given are generally only to relieve existing symptoms, such as giving Antipyretic drugs to relieve fever, Antiemetic drugs to relieve nausea / vomiting, or Analgetics to relieve joint pain only, from these problems many people also do not understand the handling of chikungunya disease, therefore it is necessary to have a system that can collect information to collect information and conduct counseling activities on the treatment of Chikungunya disease to the general public and especially to the elderly to provide knowledge about Chikungunya disease using the Certainty Factor method. The purpose of this research is to provide information and knowledge to the public about Chikungunya Disease Treatment and the Elderly know the medicine for Chikungunya Disease treatment. From the results of applying the certainty factor method to diagnose chikungunya disease, it can be obtained that the diagnosis result is acute chikungunya disease with a confidence level of 95.19%.

Diagnosa Penyakit Paru-Paru dengan Metode Naive Bayes : (Studi Kasus: RSUD Djoelham Kota Binjai) Boyke Gunawan Manurung; Akim Manaor Hara Pardede; Rusmin Saragih
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.359

The lungs as the only pump for the respiratory system are very important organs for the continuation of life. Diagnosing or checking lung symptoms early can help people recognize the possibility that they are suffering from lung disease, so that treatment or care can be done earlier to prevent the severity of the disease. The method used in this study is the Naïve Bayes method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by adding up the frequencies and combinations of values from the given dataset. An expert system is a computer application that can help decision making in more specific fields with methods that have been analyzed in advance by experts or specialists. This study used variables, namely types of lung disease including Pulmonary Tuberculosis (TB), Chronic Obstructive Pulmonary Disease (COPD), Bronchial Asthma and Lung Cancer. The results of this study are that lung disease or types of lungs can be diagnosed using the web-based Naïve Bayes method, and make it easier for sufferers to consult without seeing a doctor by selecting symptoms of lung disease.

Optimasi Penyusunan Koleksi Buku Dinas Perpustakaan Berdasarkan Pola Peminjaman dengan Metode Apriori : (Studi Kasus: Dinas Perpustakaan) Dinda Firdawati Simamora; Rusmin Saragih; I Gusti Prahmana
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.360

A library is a facility or place that provides reading materials. Good book arrangement can help the library in obtaining good reading sources. The arrangement of library service book collections based on borrowing patterns, there is an alignment between user needs and the availability of reading materials available in the library. Analysis of book borrowing patterns provides valuable insights for library staff in determining the books that are most in demand and often needed by users. Data mining is defined as mining data or efforts to dig up valuable and useful information in a very large database. The most important thing in data mining techniques is the rule for finding high frequency patterns between sets of itemsets called Association Rules. The method used in this study is Apriori (Association Rule). This technique is used to find relationships or associations between items or variables in data. Well-known algorithms such as Apriori and Eclat are used to find association rules in transactional data. The purpose of this study is to find out library visitor data using the Apriori Algorithm method and to find out the application of data mining for compiling book collections based on borrowing patterns. The results of this study are the multiplication of support and confidence, choose the one with the largest multiplication result. The largest result of the multiplication of these multiplications is the rule used when borrowing books. Because the results of the multiplication of the 4 borrowings have the same value, all of them can be used as rules.

Penerapan Metode K-Means Clustering untuk Pengelompokan Minat Konsumen terhadap Pengguna Jasa Layanan pada Kantor Pos Binjai Andrean Samuel Siahaan; Rusmin Saragih; Magdalena Simanjuntak
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 5 (2024): September : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i5.236

This research aims to apply the K-Means Clustering method in grouping consumer interests regarding the use of services at the Binjai Post Office. The Post Office is part of a state-owned enterprise in North Sumatra Province with the main task of providing postal and logistics services. Postal services remain one of the most important means of communication, especially for sending packages, letters, and documents. However, with various services and diverse consumer needs, post offices can provide more effective and relevant services. The K-Means Clustering method is a classification technique based on machine learning algorithms used to identify patterns present in consumer interest data. The data used in this research includes various related variables, namely the type of delivery, total cost, and delivery time. The results of the clustering process conducted using 3 clusters indicate that there is a grouping of consumer data based on preferences for using delivery services. In group 1, there are (21 data points) with a centroid at coordinates (C1) 2; 4.3810; 3.5238. In group 2, there are (124 data points) with a centroid at coordinates (C2) 3; 2.0565; 3.1452. In group 3, there are (387 data points) with a centroid at coordinates (C3) 3.6925; 1.1370; 1.7209. This research shows that the application of K-Means Clustering can enhance the understanding of consumer interests and assist in the development of more targeted strategies to optimally meet needs.

Sistem Pakar Diagnosa Penyakit Kaligata Menggunakan Metode Dempster Shafer Ulandari, Seri; Saragih, Rusmin; Saripurna, Darjat
Educativo: Jurnal Pendidikan Vol 1 No 1 (2022): Jurnal Teknik, Komputer, Agroteknologi dan Sains (Marostek)
Publisher : PT. Marosk Zada Cemerlang

Kaligata merupakan bentol-bentol di kulit disertai ruam kemerahan, terasa gatal, dan terkadang terasa perih menyengat. Biasanya kaligata muncul akibat reaksi alergi. Perkembangan dunia teknologi informasi telah banyak mengalami perubahan yang sangat pesat, seiring dengan kebutuhan manusia akan teknologi informasi. Hal ini mendorong para ahli untuk mengembangkan komputer agar dapat membantu kerja manusia. Salah satu ilmu komputer yang dapat membantu mengembangkan komputer untuk membantu kerja manusia adalah sistem pakar (expert system). Implementasi sistem pakar dapat digunakan di berbagai bidang salah satunya bidang Kesehatan, karena ada beberapa kasus tentang masalah kulit yang bisa terjadi pada anak-anak, remaja, dan dewasa. Banyak pasien yang belum mengetahui penyakit kaligata juga memiliki gejala anafilaksis, yaitu reaksi alergi yang parah dan terjadi secara tiba-tiba hingga bisa menyebabkan kematian. Kondisi ini di anggap sebagai keadaan darurat karena beberapa gejalanya yang ekstrem. Serta kurangnya informasi dan konsultasi membuat pasien lebih menganggap penyakit kaligata merupakan penyakit biasa. Oleh karena itu sangat diperlukan suatu sistem yang bisa menjadi informasi dan media pengganti pakar dalam mendiagnosa penyakit kaligata, agar pasien yang memiliki gejala sebelumnya dapat lebih cepat mendapatkan informasi dan konsultasi melalui sistem yang sudah di buat. Dengan adanya aplikasi sistem pakar ini dapat menjadi database pengetahuan mengenai hal-hal yang berhubungan dengan gejala dan diagnosa penyakit kaligata.

Pelatihan dan Pendampingan Update Data dan Upload Proposal Penelitian dan Pengabdian Kepada Masyarakat Melalui Simlitabmas Saragih, Rusmin; Nurhayati; Pasaribu, Tioria; Manik, Fuzy Yustika; Fatmaira, Zira; Sitompul, Juliana Naftali; Gultom, Imeldawaty; Puspadini, Ratih
ULEAD : Jurnal E-Pengabdian Volume 1 Nomor 2 Januari 2022
Publisher : Fakultas Ilmu Komputer, Universitas Katolik Santo Thomas Medan

Tridarma perguruan tinggi terdiri atas tiga point yaitu Pendidikan dan pengajaran, penelitian serta pengabdian kepada masyarakat. Dosen masih sering mengabaikan hal yang menunjang tugasnya selain mengajar dikelas. Untuk meningkatkan animo dosen dalam melakukan penelitian dan pengabdian, maka pemerintah melalui kemendikbud membuka hibah DRTPM. Melalui hibah ini seluruh dosen di akan bersaing untuk memenangkan hibah tersebut dengan skema-skema yang disediakan. Sebagian dosen STIe LMII Medan masih belum terlalu memahami prosedur pelaksanaan yang disediakan Simlitabmas.bTujuan dari kegiatan pengabdian ini adalah agar dosen-dosen di STIe LMII Medan dapat menggunakan simlitabmas dengan baik.. Pemecahan masalah yang dilakukan adalah dengan melakukan pelatihan dan pendampingan penggunaan simlitabmas. Dengan diadakan pelatihan dan pedampingan penggunaan aplikasi Simlitabmas bagi dosen STIe LMII Medan, dosen akan bisa menggunakan aplikasi simlitabmas dan pemanfaatan dibidang penelitian dan pengabdian. Hasil pelaksanaan kegiatan pengabdian Seluruh dosen tersebut sudah bisa login dan menggunakan aplikasi simlitabmas untuk mengupdate profil serta mengunggah proposal. Peserta telah memiliki Pengetahuan dan wawasan bahwa aplikasi simlitabmas sangat penting untuk meningkatkan karir peserta di bidang penelitian dan pengabdian. Wawasan dan pengetahuan peserta sudah meningkat, hal ini terlihat saat peserta sudah mampu mengoprasikan dan menggunakan semua menu yang ada di aplikasi simlitabmas. Sehingga diharapkan nantinya dosen-dosen STIe LMII Medan dapat mengikuti hibah DRTPM ini dengan tanpa adanya kesulitan dalam penggunaan Simlitabmas.

Decision Support System for Choosing the Best Nurse Using the Multi Factor Evaluation Process (MFEP) Method at Djoelham Hospital, Binjai City Ningsih, Yulia; Simanjuntak, Magdalena; Saragih, Rusmin
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 01 (2024): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

Show Abstract | Download Original | Original Source | Check in Google Scholar

Health workers are any person who is devoted to health and has knowledge and/or skills through education in the health field which for certain types requires the authority to carry out health efforts. A strategy is needed to increase the interest of health workers working in hospitals. The selection of exemplary health workers in hospitals is expected to be a motivation to increase the interest of health workers working in hospitals so that they can be a driver for the creation of health workers who have a nationalist, ethical and professional attitude, have a high spirit of service, are disciplined, creative, knowledgeable, skilled, virtuous and can uphold professional ethics. The purpose of this study is to evaluate the performance of nurses and reward the best nurses at Djoelham Hospital Binjai City. The use of the Multi Factor Evaluation Process (MFEP) method is relevant because it can help in integrating and evaluating various factors and criteria holistically. MFEP is a method that allows to evaluate various factors that affect decisions, as well as provide weight or value relative to each of these factors. The criteria used in this study are discipline, cooperation, loyalty, education, understanding of drug prescriptions, understanding of technology. The conclusion of this study is that the construction of this support system can help Djoelham Hospital in determining the best nurse and the use of the MFEP method in the decision support system to determine the best nurse increases accuracy in determining the best suitable nurse. This method is able to process various criteria that have been set, so that the results of decisions are more objective and fair compared to manual assessments.

Implementation of YOLOv8 for Object Detection in Urban Traffic Surveillance A Case Study on Vehicles and Pedestrians from CCTV Imagery Saragih, Rusmin; Imeldawaty Gultom; Frans Ikorasaki; Theodora MV Nainggolan
Journal of ICT Applications System Vol 4 No 1 (2025): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v4i1.430

Implementation of the YOLOv8 object detection algorithm for enhancing traffic surveillance through accurate identification of multiple road entities, including cars, motorcycles, trucks, and pedestrians. Using a 41-second CCTV video as the primary dataset, the research adopts a deep learning-based training approach via Google Colab to evaluate YOLOv8's performance under real-world urban conditions. The detection model was assessed using key evaluation metrics such as accuracy, precision, recall, and Mean Average Precision (mAP). The experimental results demonstrate that YOLOv8 achieves an overall detection accuracy of 80%, showing reliable performance in identifying vehicles and people despite challenges such as occlusions, varied lighting, and complex backgrounds. However, accuracy variations were observed in cases involving partial visibility and non-optimal camera angles. The findings highlight the potential of YOLOv8 as a robust and scalable solution for real-time traffic object detection, with implications for smart city development and automated traffic management systems. Further improvements are recommended in dataset diversity and model fine-tuning to enhance detection robustness across dynamic traffic scenarios

A Narrative Exploring the Potential of ChatGPT: How AI Models Are Changing the Way We Interact with Technology Eka, Muhammad; Asih, Munjiat Setiani; Damayanti, Fera; Saragih, Rusmin; Supiyandi, Supiyandi
Journal of Computer Science, Artificial Intelligence and Communications Vol 1 No 1 (2024): May 2024
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v1i1.5

This study explores the perceptions, attitudes, and ethical considerations surrounding the use of ChatGPT among university students. By combining quantitative and qualitative research methods, including surveys and a review of existing literature, the study examines how ChatGPT is utilized in academic settings and its impact on learning outcomes, academic integrity, and scholarly achievements. The findings suggest that ChatGPT significantly enhances students' productivity, learning experiences, and writing abilities. However, concerns regarding its potential misuse, particularly about academic integrity, plagiarism, and over-reliance on AI tools, were also identified. The research highlights the importance of establishing clear ethical guidelines and policies to regulate the use of AI in educational settings. Future research should focus on the long-term effects of ChatGPT on students' academic development and investigate strategies for promoting responsible AI usage in higher education.

Sentiment Analysis of Social Media Towards Public Services Using Naive Bayes and Text Mining Rusmin Saragih; Mardiah; Deni Apriadi
Journal of Computer Science, Artificial Intelligence and Communications Vol 1 No 2 (2024): November 2024
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v1i2.18

The rapid development of information and communication technology has driven the increased use of social media as a means of interaction between the public and service providers. Social media has become a platform for the public to express their opinions on the quality of services they receive, whether in the form of praise, suggestions, or complaints. Therefore, sentiment analysis of social media data can be a strategic tool in evaluating the performance of public services. This research aims to analyze public sentiment towards public services by utilizing text mining techniques and the Naive Bayes Classifier algorithm. The data used was collected from social media platforms such as Twitter and Facebook, followed by a text preprocessing stage that included tokenizing, stopword removal, and stemming. Subsequently, the data was analyzed to classify sentiment into positive, negative, and neutral categories. The test results show that the Naive Bayes algorithm is capable of classifying data with a satisfactory level of accuracy, making it an efficient method for monitoring public perception in real-time. This research contributes to supporting decision-making by government agencies regarding the improvement of public service quality based on publicly available feedback from social media

Co-Authors , Eka Putra ., Novriyenni Abdul Azan Abdul Azan Abdullah Hamid Abdullah Husein ACHMAD FAUZI Achmad Fauzi Adyanata Lubis Ahmad Jurnaidi Wahidin Alfina Damayanti Ambarita, Indah Andini Andini Andre Adrian Andrean Samuel Siahaan Aprilianda, Dinda Arianta Bangun Arnes Sembiring Asih, Munjiat Setiani Barany Fachri Boyke Gunawan Manurung Br Sitepu, Dinda Isabella Buaton, Relita Budi Yanto Chairul Rizal Charles Jhony Mantho Sianturi, Charles Jhony Mantho Cindy Primadona Siahaan Damayanti, Fera Dandi Satria R Darmawan Ginting Deni Apriadi Dewantara, Nowell Dimas Prayogi Dinda Firdawati Simamora Divi Handoko Divi Handoko Eka Pandu Cynthia Eka Pandu Cynthia Eka, Muhammad Elyandri Prasiwiningrum Ema Sari Suwandi Enda Ribka Meganta P Erbin Sitorus Erlita Sulistiati Fany Juliawati Fatimah Fatmaira, Zira Fauzi, Achmad frans ikorasaki Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Gea, Fide Evianti Gultom, Imeldawaty Herdiansyah Harahap Herdiansyah Harahap Hesty Vitara I Gusti Prahmana Ikhsan Arif Indra Prasetia, Indra Irfan Yusuf Ismi Asmita Jesayas Sembiring Khair, Husnul Khalidy, Furqan Lili Musarofah Lili Musarofah M. Yogi Riyantama Isjoni Magdalena Simanjuntak Mardiah Marto Sihombing Marto Sihombing Maulidania Mediawati Cynthia Meisaroh Melda Pita Uli Sitompul Mhd Ferdiansyah Putra Mili Alfhi Syari Muhamad Furqon Muhammad Danil Syahputra Muhammad Danil Syahputra Muhammad Eka Muhammad Eka Muhammad Noor Hasan Siregar Muhammad Raihan Muhammad Reza Habibi Muhammad Zen, Muhammad Munadi Munadi Nadia Nurhafiza Nasril Hidayat Nico Kurniawan Purba Nikous Soter Sihombing Novriyenni Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurlaila Nurlaila Nuryahati - Pakpahan, emma martina Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Petrus Loo Rafli Fitriawan Rahayu Utami Rahmadani Rahmadani Rahmawati Rahmawati, Rahmawati Ramadani, Suci Ramli Ramli Ramos Parulian Ambarita Ratih Puspadini Rianty Zabitha Siregar Ricky Ramadhan Harahap Rivalri Kristianto Hondro Rizki Kurniawan Romy Wahyuny Ruine Buana Br Sitepu Ryan Hidayat Saripurna, Darjat Satria R, Dandi SELVY SELVY ANGGRAINI Sihombing, Anton Sihombing, Marto Simanjuntak, Magdalena Simanjuntak, Magdalena Sinaga, Ayu Puspita Sari Sirait, Win Gomgom Parsaulian Siswan Syahputra Sonadi Perangin Angin Suci Pratiwi, Kiki Supiyandi Supiyandi Syahputra, Siswan Syari, Milli Alfhi Tantia Azzahra Tata Mustika Dewi tata, tatamustikadewi Theodora MV Nainggolan Tiwuk Widiastuti Ulandari, Seri Wati, Sri Kesuma Yani Maulita Yekolya Anatesya Yessi Fitri Annisah Lubis Yudo Devianto Yulia Ningsih Yusuf Afani Yuyun Dwi Lestari Yuyun Dwi Lestari

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