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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Mantik Penusa Simtek : Jurnal Sistem Informasi dan Teknik Komputer Building of Informatics, Technology and Science U-NET Jurnal Teknik Informatika Bulletin of Information Technology (BIT) J-COSCIS : Journal of Computer Science Community Service CSRID
Subagio, Selamat
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences

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PERANCANGAN DAN PEMBUATAN APLIKASI PENJUALAN BUKU PADA TOKO BUKU AMPU MENGGUNAKAN MICROSOFT VISUAL BASIC.NET Selamat Subagio
Jurnal Mantik Penusa Vol. 1 No. 1 (2017): Volume 1 No 1 Juli 2017 (Online) Jurnal Mantik
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.463 KB)

Abstract

This study discusses the application of bookselling Bookstores Ampu where the work using the principle of SDLC (System Development Life Cycle). This application aims to facilitate information management books available in the Bookstore Ampu functions such as inventory books, transaction handling, printing reports required for decision-making and application maintenance. Sales application software is developed using Microsoft Visual Basic.Net 2005 as database creation, MySql as the database storage, and run on Windows XP Professional. In database applications have created five master form that lists book form, search form, form buyers, suppliers form, and the form of employees, two of which form the sale transaction form, form supply, and five statements that report the buyer, the supplier reports, book reports, report purchases and sales reports. 
BERTopic Modeling of Natural Language Processing Abstracts: Thematic Structure and Trajectory Samsir Samsir; Reagan Surbakti Saragih; Selamat Subagio; Rahmad Aditiya; Ronal Watrianthos
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6426

Abstract

The rapid growth in the academic literature presents challenges in identifying relevant studies. This research aimed to apply unsupervised clustering techniques to 13,027 Scopus abstracts to uncover structure and themes in natural language processing (NLP) publications. Abstracts were pre-processed with tokenization, lemmatization, and vectorization. The BERTopic algorithm was used for clustering, using the MiniLM-L6-v2 embedding model and a minimum topic size of 50. Quantitative analysis revealed eight main topics, with sizes ranging from 205 to 4089 abstracts per topic. The language models topic was most prominent with 4089 abstracts. The topics were evaluated using coherence scores between 0.42 and 0.58, indicating meaningful themes. Keywords and sample documents provided interpretable topic representations. The results showcase the ability to produce coherent topics and capture connections between NLP studies. Clustering supports focused browsing and identification of relevant literature. Unlike human-curated classifications, the unsupervised data-driven approach prevents bias. Given the need to understand research trends, clustering abstracts enables efficient knowledge discovery from scientific corpora. This methodology can be applied to various datasets and fields to uncover overlooked patterns. The ability to adjust parameters allows for customized analysis. In general, unsupervised clustering provides a versatile framework for navigating, summarizing, and analyzing academic literature as volumes expand exponentially.
Applying Data Mining Techniques to Investigate the Impact of Smoking Prevalence on Life Expectancy in Indonesia: Insights from Random Forest Models Dalimunthe, Abdul Hakim; Samsir, Samsir; Subagio, Selamat; Siagian, Taufiqqurrahman Nur; Watrianthos, Ronal
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5201

Abstract

This study investigates the relationship between smoking prevalence and life expectancy in Indonesian provinces using data mining techniques, specifically focusing on the application of random forests. The primary objective is to quantify the potential impact of reducing smoking prevalence on population health outcomes. Data were sourced from the Indonesian Central Bureau of Statistics, which included life expectancy and smoking prevalence data from 2021 to 2023. The methodology involved aggregating life expectancy data from the district to the province level, followed by the application of a random forest model to predict life expectancy based on smoking prevalence and other socioeconomic indicators. Key findings indicate a weak to moderate negative correlation between smoking prevalence and life expectancy, with higher smoking rates associated with lower life expectancies. Predictive modeling suggests that a reduction in smoking prevalence could lead to significant improvements in life expectancy. For example, a 5% reduction in smoking rates could increase the average life expectancy by approximately 0.3 years, while a 15% reduction could result in an increase of about 0.9 years by 2025. These results underscore the detrimental impact of smoking on population health and highlight the importance of effective tobacco control measures. The predictive models developed in this study provide valuable information for policymakers, enabling targeted public health strategies and resource allocation. This research contributes to the field by demonstrating the utility of data mining techniques in public health and offering a comprehensive analysis of the relationship between smoking and life expectancy in Indonesia. The findings advocate for the urgent implementation of smoking cessation programs to enhance life expectancy and improve public health outcomes
A Text Mining Approach to Analyzing the Role of Negative Sentiment Words in News Articles on Suicide and Related Incidents Subagio, Selamat; Samsir, Samsir; Dalimunthe, Abdul Hakim; Ronal Watrianthos
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1745

Abstract

This study examines the role of negative sentiment words in news media coverage of suicide and related incidents through analysis of 1,515 news articles published between 2019 and 2024. Using advanced text mining techniques and sentiment analysis, we investigated patterns in emotional language use and their impact on public discourse. The research revealed frequent usage of negative sentiment words such as "crisis" (256 occurrences), "despair" (214 occurrences), and "death" (189 occurrences), which significantly influenced the emotional framing of these sensitive topics. Statistical analysis showed strong correlations between negative sentiment words and mental health-related terms (correlation value 0.75), indicating consistent patterns in media narrative construction. Temporal analysis identified a notable increase in negative sentiment during the COVID-19 pandemic (2020-2021), followed by a shift toward more solution-focused coverage in 2022-2024. The findings suggest that while negative sentiment words are inherent in covering suicide-related topics, their use can be balanced with solution-oriented language to promote more responsible reporting. This research contributes to understanding how emotional language shapes public discourse on mental health crises and provides insights for developing more effective guidelines for responsible journalism.
PENERAPAN METODE UCD (USER CENTERED DESIGN) PADA E-COMMERCE CV KESWA CREATIVE PRODUCTION BERBASIS WEB Anwar, Khoirul; Subagio, Selamat; Rambe, Shopiah Anggraini
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 1 (2025): April 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i1.1541

Abstract

Keswa Creative Production merupakan suatu usaha yang bergerak di bidang penjualan peralatan listrik. Toko ini mengharapkan untuk memperoleh keuntungan yang sebesar-besarnya tanpa batasan waktu dan tempat, sehingga para pelanggan dapat berinteraksi dan berperan aktif dalam proses jual beli tanpa dibatasi oleh waktu dan tempat. Permasalahan yang sering terjadi di Keswa Creative Production adalah sulitnya mengetahui stok barang yang tersisa karena pencatatan masih dilakukan secara manual, sehingga produk hanya disimpan di gudang. Berdasarkan permasalahan yang terjadi, maka diperlukan suatu sistem yang dapat memudahkan Keswa Creative Production dalam memaksimalkan penjualannya. Sistem yang diusulkan didasarkan pada permasalahan yang ada pada proses bisnis saat ini. Dengan memanfaatkan E-Commerce pada sistem yang baru diharapkan kelemahan-kelemahan yang ada sebelumnya dapat diatasi sehingga dapat menghasilkan informasi yang akurat. Pada penelitian ini penulis melakukan analisis model bisnis dengan menggunakan Website. Hasil akhir dari penelitian ini adalah sebuah prototipe E-Commerce yang dapat membantu Keswa Creative Production dalam memaksimalkan penjualan produk
Sistem Pakar Diagnosa Penyakit DBD Pasien Puskesmas Tanjung Sarang Elang Menggunakan Metode Certainty Factor Ainun, Annisa; Samsir, Samsir; Subagio, Selamat
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.1.2025.118-126

Abstract

Health is valuable for humans, because anyone can experience health problems. Children are very susceptible to germs and lack of sensitivity to symptoms of a disease is a fear for parents. Parents are lay people who do not understand health. If a child has a health problem, they prefer to trust it to experts or specialist doctors who already know more about health, regardless of whether the problem is still at a low or chronic level. With the convenience of having experts or specialist doctors, sometimes there are also disadvantages such as limited working hours (practice) and many patients so they have to wait in line. In the rainy season, almost no area in Indonesia is free from dengue fever attacks. Research shows that dengue fever has been found in all provinces of Indonesia. Two hundred cities reported an Extraordinary Event (KLB). The incidence rate increased from 0.005 per 100,000 people in 1968 and drastically jumped to 627 per 100,000 people. An Expert System is a computer system designed to imitate the problem-solving abilities of an expert in a particular field using the knowledge and analysis methods that have been defined by the expert. The results obtained in using this system are the information system for DHF patients at the Tanjung Sarang Elang Health Center can be completed easily without requiring a lot of energy and time, does not require many files if more than one DHF disease data is needed and the data produced is free from errors. Thus it is expected to be very helpful in diagnosing DHF patients at the Tanjung Sarang Elang Health Center. Macromedia Dreamweaver is an HTML editor for designing, writing code (php) and as a program for processing and building websites, web pages and other web applications.
Sistem Pakar Deteksi Penyakit Culvularia Dengan Metode Forward Chaining Panjaitan, Indra Syahputra; Subagio, Selamat; Samsir, Samsir
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.1.2025.106-117

Abstract

Oil palm diseases generally attack leaves during the seedling phase and can cause major losses if not handled properly. Symptoms that appear include yellow spots that then develop into necrosis, inhibiting seedling growth, and increasing the death rate of plants that during the entire life cycle of plants, from seeds, nurseries, planting, to storage of harvests, plants are never free from disturbances that can inhibit their growth and development. These disturbances can be in the form of pest attacks, infections of disease-causing pathogens, competition with weeds, or unfavorable environmental factors. A researcher from India estimated that crop yield losses were caused by weeds of around 33%, disease-causing pathogens of around 26%, pest attacks of around 7%, rats of around 6%, and damage during storage of around 7%. In other words, biological disturbances such as weeds, pathogens, and pests, as well as abiotic factors such as storage conditions, can cause significant decreases in yields if not managed properly. An expert system is a system that attempts to adopt human knowledge into a computer so that the computer can solve problems as is usually done by experts. While an expert system is a branch of artificial intelligence that uses the special knowledge possessed by an expert to solve certain problems. Forward Chaining is a method of data reasoning that starts from known facts and uses rules (IF-THEN) to reach a conclusion or solution. With this application, it is expected that the community can carry out early treatment and prevention of the disease independently, so as not to worsen the disease in the plant. The expert system is also equipped with a Microsoft Visual Studio solution, a complete application created by Microsoft. In Visual Studio, there are several programming languages ​​that are often used, such as Visual Basic 2008. Visual Studio 2008 Express Edition is very popular as a Windows Application Development Tool.
Expert System for Diagnosing Eye Disorders (Refractive Errors) Using the Certainty Factor (CF) Method at Tanjung Sarang Elang Community Health Center Subagio, Selamat; Harahap, Fauji; Samsir, Samsir
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.2.2025.204-216

Abstract

The medical and technology fields are rapidly advancing, leading many people to use computers to help diagnose, prevent, and treat human diseases. One major issue in the medical world is the imbalance between the number of patients and doctors. Additionally, most people lack medical training, so when experiencing symptoms of a disease, it is often difficult to immediately know the correct steps to take. Eye diseases vary in severity, ranging from mild to severe. One common eye disorder affecting many people is refractive error, which generally falls into two categories: hyperopia (farsightedness) and myopia (nearsightedness). Early detection of symptoms related to refractive errors requires accurate and prompt diagnosis. Therefore, with the rapid development of technology, it is essential to develop systems capable of early detection of eye diseases, especially refractive errors, by using technology that mimics human expert capabilities, such as expert systems. This expert system integrates expert knowledge within two main environments: the development environment and the consultation environment, helping the community diagnose diseases more easily and efficiently. For example, the use of the Certainty Factor method in expert systems enables the calculation of diagnostic certainty levels based on the combination of symptoms reported by patients and expert knowledge, achieving a confidence level of up to 96.7%. This demonstrates that expert system technology can be a valuable tool in addressing the imbalance between patients and doctors while improving access to faster and more accurate diagnoses. To build such systems, Microsoft Visual Studio .NET provides a complete set of tools for developing ASP.NET web applications, XML Web Services, desktop applications, and mobile applications. Within Visual Studio, .NET programming languages such as Visual Basic, Visual C++, Visual C# (CSharp), and Visual J# (JSharp) are used in a unified integrated development environment (IDE), enabling developers to efficiently share tools and resources to create reliable and user-friendly expert system applications. The system was developed and tested using symptom data from 40 patients collected at the Tanjung Sarang Elang Community Health Center. The testing showed a diagnostic accuracy of up to 96.7% in detecting symptoms of both hyperopia and myopia.
The SPK Penentuan Anggota Panitia Pemungutan Suara di Kabupaten Labuhabatu dengan Metode PSI Has, Syahnila Natasya; Subagio, Selamat; Dalimunthe, Abdul Hakim
U-NET Jurnal Teknik Informatika Vol. 9 No. 1 (2025): U-NET Jurnal Teknik Informatika | Februari
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v9i1.824

Abstract

The Decision Support System for Determining PPS Elections at the KPU Labuhanbatu Office, uses the PHP (Hypertext Preprocessor) Programming Language. This application system was created because there was a problem at the start of the election process so it is hoped that this SPK can assist the election process. Making a system of conducting observations and interviews with the school. The last stage of designing an application system is the stage of implementing a program that will produce an election application system program at the Labuhanbatu KPU Office. Computerized systems are very appropriate for processing data and producing useful information. The data that is input to this application system, namely, among other things, each criterion data in the election, while the output of this system will produce reports including the Election Result Report in Labuhanbatu Regency. With this system, the election results will be easily printed and stored and parties who need to be proof of results.Keywords: Decision support system
PELATIHAN PEMANFAATAN PICTORY ARTIFICIAL INTELLIGENCE SEBAGAI BAHAN PRESENTASI DALAM MENGUBAH TEKS MENJADI VIDEO Ritonga, Sangkot Idris; Ritonga, Sahbuki; Samsir; Misman; Dalimunthe, Abdul Hakim; Subagio, Selamat
J-COSCIS : Journal of Computer Science Community Service Vol. 4 No. 2 (2024): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v4i2.20352

Abstract

Pemanfaatan media online dalam pembelajaran telah menjadi sangat penting, terutama dengan perkembangan teknologi dan akses internet yang semakin luas. Media online menyediakan berbagai alat dan platform yang dapat meningkatkan efektivitas dan efisiensi proses belajar mengajar. Beraneka macam aplikasi yang bisa digunakan untuk pembuatan media pembelajaran khususnya presentasi terasa mudah dan menyenangkan. Pelatihan pembuatan presentasi dari tulisan diubah menjadi tampilan video ini menggunakan aplikasi yaitu pictory.ai. Metode pada pelatihan ini menggunakan ceramah, pelatihan, simulasi dan pendampingan. Dimana pada aplikasi ini yang berbentuk tulisan dapat secara otomatis dengan pemanfaatan AI bisa menjadi tampilan dalam bentuk video dengan berbagai macam template yang menarik. Hasil dari kegiatan sebelum pelatihan masih banyak yang belum mengetahui dan menggunakan pictory berbasis AI dalam pembuatan media presentasi. Berdasarkan kegiatan yang dilakukan hasil dari pengabdian ini menambah wawasanan pengetahuan serta keterampilan dosen dan peserta kegiatan dalam membuat presentasi dengan memanfaatkan pictory yang lebih menarik dan mudah untuk digunakan karena penampilan dalam bentuk video serta dapat dimanfaatkan baik online ataupun offline.
Co-Authors Ainun, Annisa Azhar, Wahyu Dalimunthe, Abdul Hakim Harahap, Fauji Has, Syahnila Natasya Khoirul Anwar Misman Panjaitan, Indra Syahputra Rahmad Aditiya Rahmayani Rahmayani Rambe, Shopiah Anggraini Ritonga, Sahbuki Ronal Watrianthos Sahmuda, Arjana Samsir Samsir Samsir Samsir Samsir, Samsir Sangkot Idris Ritonga Saragih, Reagan Surbakti Siagian, Taufiqqurrahman Nur