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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi Journal on Education Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Teknologi Sistem Informasi KOMMAS: Jurnal Pengabdian Kepada Masyarakat OKTAL : Jurnal Ilmu Komputer dan Sains Jurnal ilmiah teknologi informasi Asia
Junianto, Mochamad Bagoes Satria
Universitas Terbuka
Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences

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Analisa Dan Perancangan Sistem Pendataan Alumni Teknik Informatika Universitas Pamulang Berbasis Web Dengan Metode Waterfall Monika Juwita; Mochammad Bagoes Satria Junianto
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 11 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In the development of an educational institution, alumni have a fairly important role because the role of alumni that can be used as a reflection of the quality of an educational institution itself. But currently there is no container that can be used as a place to manage alumni data, especially in the UNPAM Informatics Engineering study program. Based on these problems, the author wants to create a system that can handle the process of managing alumni data, especially in the UNPAM Informatics Engineering study program. This alumni data collection system is website-based and designed using waterfall and design methods using Undefied Model Language (UML), PHP, using MySQL database server as a database, and using Laravel as its Framework. With this system, a website can be created that can accommodate alumni data of UNPAM Informatics Engineering study program easily, quickly and accurately.
Analisa Dan Perancangan Sistem Informasi Monitoring Ketersediaan Kendaraan Operasional Dengan Metode Agile Berbasis Android Agung Setia Budi; Mochammad Bagoes Satria Junianto
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 11 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

An information system is a combination that is designed by people on a regular basis based on hardware, software, communication networks, and resources that can collect, enter and process, store, process, control and report data. Kalpika rides cooperative is a cooperative engaged in public transportation. The problems that occur at this time are the lack of information, the occurrence of struggles in the use of vehicles, there is no clear report and the input of daily transaction data is still written manually or written using a book. The solution to this problem is to build an information system for monitoring the availability of android-based operational vehicles using the Java programming language and designed using UML and using agile methods, where the stages of the method are system planning, implementation, testing, documentation, deployment, and maintenance.
Sistem Penunjang Keputusan Metode Simple Additive Weighting Untuk Penentuan Penerima Beasiswa Pada MA Al-Mukhlishin Ciseeng Abdoel Kadir Zaelani; Mochammad Bagoes Satria Junianto
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Education is one of the most basic human rights, both for those who are able or those who cannot. By getting a good and proper education, there will be opportunities to get a better life for them. To support the 12 year compulsory education program, the government provides free education programs and scholarship programs. Scholarships can be said to be assistance for the ongoing education provided by the government, private companies, embassies, universities, foundations, as well as educational institutions or researchers. Likewise with the MA Al-Mukhlishin as one of the formal educational institutions, the scholarship program must be awarded to those who are entitled to receive it, especially based on the scholarship recipient's classification, quality and competence. So we need a Decision Support System (DSS) that can help the selection team in facilitating the selection process for scholarship recipients based on the specified criteria. The method used in this research for the scholarship recipient's decision support system is the Simple Additive Weighting (SAW) method. This method was chosen because this method determines the weight value for each attribute, then it is followed by a ranking process that will select the best alternative from a number of alternatives. The programming language used in building this system is Java, using the Netbeans compiler. The system development method used by the author in this study is the waterfall method which has 5 stages, namely planning, analysis, design, implementation, and maintenance.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI REKAM MEDIS METODE EXTREME PROGRAMMING BERBASIS WEB (Studi Kasus: Puskesmas Prabugantungan) Muhamad Septian; Mochammad Bagoes Satria Junianto
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 09 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The use of computers in the field of Health will not only be felt by its users, but also by the organization, in this case for example hospitals, health centers, clinics, and so forth. This device can indirectly help the human soul. Computers can be used from storing and processing administrative data of a hospital or clinic, to conducting medical research, diagnosing diseases, and finding the right medicine. There are difficulties in finding patient data because the amount of data processed is increasing and stored manually such as how to store it only in special cabinets, so it can slow down in terms of finding patient documents. Frequent occurrence of lost data due to too many patient data archives, and errors in data storage due to their storage only in special cabinets. The design of medical record information system makes the medical record process well organized. With the medical record information system at the Puskesmas Prabugantungan mempermudah making recapitulisasi medical record data reports.
SISTEM PENUNJANG KEPUTUSAN PENENTUAN PENERIMA DANA BANTUAN RUMAH TIDAK LAYAK HUNI DENGAN METODE SMARTER DAN TOPSIS PADA DESA RAWAKALONG Ardiansyah, Hendri; Junianto, Mochammad Bagoes Satria; Machfud, Syaeful
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 10 No 1 (2020): Maret 2020
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.14 KB) | DOI: 10.33020/saintekom.v10i1.98

Abstract

This study aims to create a decision support system in determining recipients of routine assistance using smarter and topsis methods in Rawakalong Village. The reason for this is that in determining the recipient of routine grant funds is not on target, because a lot of prospective beneficiary data has to be processed and the many criteria used to be considered in determining the recipient of routine route assistance. The criteria calculations used are only based on estimates without using quantitative indicators that can provide clear and definite calculations. For this reason, a decision support system is needed that can be used to process prospective recipient's routine beneficiary data and calculate the criteria used as indicators to determine citizens who must take precedence to be given routine assistance. The existence of this system is expected to help the village apparatus in determining who should be prioritized to receive routine assistance. The method used for the Decision Support System in this study is the SMARTER (Simple Multi-Attribute Rating Technique Exploiting Rank Method) and the TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) method. The SMARTER method is used to give weight to the 10 criteria used as indicators, and to rank alternatives based on existing criteria using the TOPSIS method.. Results obtained from this study, that the decision support system is very helpful to the village government as a decision-maker in determining the priority recipient of routine assistance in Rawakalong village.
Analysis and Design of the Web Base Guesthouse Reservation Information System at Universitas Terbuka Using The Prototype Method Kusyadi, Irpan; Junianto, Mochamad Bagoes Satria; Basri, Hasan
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 1 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i1.32380

Abstract

Efficient guesthouse reservation management is crucial to supporting the accommodation services provided by Universitas Terbuka. Currently, the existing system faces limitations in data management and time efficiency, particularly in the reservation, recording, and reporting processes. This study aims to analyze and design a web-based guesthouse reservation information system that is expected to facilitate the reservation process more effectively and transparently. The design approach used is the prototype method, which allows system development based on early user feedback. The research begins with identifying requirements through the stages of communication, planning, modeling, prototyping, and feedback collection. The results of this analysis are then used as the basis for designing the system model and the initial user interface (UI/UX). The system prototype is then developed and iteratively evaluated by involving potential users, including guesthouse managers and prospective guests, to ensure that the final design meets user needs
Comparison of the SAW (Simple Additive Weighting), AHP (Analytic Hierarchy Process) and Wieghted Product (WP) Methods in Catering Vendor Selection Sufandi, Unggul Utan; Putri, Mayang Anglingsari; Satria Junianto, Mochamad Bagoes; Minrohayati, Minrohayati
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 1 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i1.31854

Abstract

This study aims to develop a Decision Support System (DSS) for selecting the most suitable catering vendor for the UT Business Center by employing three decision-making methods: Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP), and Weighted Product (WP), alongside expert evaluation. Selecting an appropriate catering vendor is crucial to supporting university operations and events; therefore, the decision-making process must be based on objective and efficient criteria. Given the differences in the working principles of these three methods, it is essential to conduct a comparative analysis between AHP, SAW, and WP to determine the most suitable approach for catering vendor selection at the UT Business Center. The results of the study indicate varying levels of accuracy depending on the weighting scenario: Scenario 1 (Uniform Criterion Weights): Accuracy levels were AHP (83.33%), SAW (100%), and WP (100%). Scenario 2 (Expert-Determined Criterion Weights): Accuracy levels were AHP (58.83%), SAW (66.67%), and WP (66.67%).
Enhancing Usability Testing Through Sentiment Analysis: A Comparative Study Using SVM, Naive Bayes, Decision Trees and Random Forest Basri, Hasan; Junianto, Mochamad Bagoes Satria; Kusyadi, Irpan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.45117

Abstract

In the digital age, mobile applications have become an integral part of everyday life, making usability testing an essential factor in ensuring a seamless user experience. Traditional usability testing methods often demand considerable resources, including time and cost, which calls for more efficient and automated alternatives. This study explores the use of sentiment analysis as an innovative approach to evaluate the usability of mobile applications. By analyzing user reviews from the Google Play Store, the research compares the effectiveness of four machine learning algorithms—Support Vector Machine (SVM), Naive Bayes, Decision Tree, and Random Forest—in classifying sentiment and evaluating usability. A dataset consisting of 2,000 reviews from a banking app was collected and labeled based on usability criteria, such as efficiency, user satisfaction, learnability, memorability, and error rates. The feature extraction process utilized Term Frequency-Inverse Document Frequency (TF-IDF) to enhance the relevance of the review texts for sentiment analysis. The findings reveal that Random Forest achieved the highest accuracy (68.15%) and demonstrated the best performance in terms of F1 Score, precision, and recall, although it had the longest processing time. In contrast, Naive Bayes, while the fastest, showed lower accuracy and F1 Score, making it suitable for applications with large datasets or limited processing time. Decision Tree and SVM offered a balanced trade-off between speed and accuracy. The study concludes that Random Forest is the preferred choice when high accuracy and prediction performance are crucial, despite its longer processing time. Meanwhile, Naive Bayes is more appropriate for scenarios demanding rapid data processing, and SVM and Decision Tree are recommended when a balance between speed and accuracy is needed.
Sistem Pendukung Keputusan Metode Simple Additive Weighting (SAW) Pemilihan Vendor Jasa Boga Terbaik pada Pusat Bisnis Universitas Terbuka Junianto, Mochamad Bagoes Satria; Basri, Hasan
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.45152

Abstract

The Open University Business Center has duties and functions that focus on the management and development of business units that support the operations and financial sustainability of the Open University. One of the policies handled is the selection of catering vendors used at every event in the Open University environment. Selecting the right catering vendor is a crucial factor in ensuring customer quality and satisfaction. There are 12 catering vendors who are partners of the Open University Business Center which are usually only assessed based on the presentation and quality of the food (Taste). In fact, besides these 2 criteria, there are still several other criteria that must be considered such as Punctuality, interest and vendor experience (administration). The SAW method was chosen because of its ability to carry out multi-criteria assessments simply and efficiently. Of the 12 catering vendors who collaborate with the Open University Business Center, a ranking will be given where the vendor with the highest score is considered most appropriate to the needs of the Open University Business Center. With this Decision Support System, it is hoped that the catering vendor selection process can be carried out objectively, transparently and faster so as to support better decision making at the Open University Business Center.
Segmentasi persepsi dampak media sosial pada UMKM menggunakan K-Means Putri, Mayang Anglingsari; Trihapningsari, Denisha; Basri, Hasan; Julianto, Mochamad Bagoes Satria; Kusyadi, Irpan
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 2 (2025): Volume 19 nomor 2 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i2.1188

Abstract

The rapid growth of social media usage has significantly influenced the marketing and development strategies of Micro, Small, and Medium Enterprises (MSMEs). However, there remains a limited understanding of how various users perceive the role of social media in supporting MSME growth. This study aims to segment user perceptions regarding the impact of social media on MSMEs, utilizing the K-Means Clustering method. The research novelty lies in combining perceptual analysis with an unsupervised machine learning technique to discover hidden patterns in public responses. Data were collected through a questionnaire distributed to MSME actors and users of MSME products across Indonesia. The questionnaire includes statements related to the accessibility, promotional effectiveness, and trust-building capability of social media. The clustering results categorize respondents into several perception groups—ranging from highly positive to neutral or skeptical, providing valuable insights for stakeholders and digital marketing strategists in targeting communication and support for MSMEs. This approach offers a data-driven strategy to optimize MSME empowerment through the appropriate use of digital platforms.
Co-Authors Abdoel Kadir Zaelani Agung Setia Budi Ali Djamhuri Derita Qurbani Entis Sutrisna Fajar Agung Nugroho Hasan Basri Hasan Basri Hendri Ardiansyah HENDRI ARDIANSYAH Irpan Kusyadi Mayang Anglingsari Putri, Mayang Anglingsari Minrohayati . Mochamad Iqsal Alfiansyah Monika Juwita Muhamad Septian Nardiono Nardiono Oky Gustian Resti Amalia Sartika Lina Mulani Syaeful Machfud Teti Desyani Trihapningsari, Denisha Unggul Utan Sufandi