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All Journal Jurnal Algoritma Jurnal Algoritma Journal of Intelligent Systems Technology and Informatics
Maulana, Yusep
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Computer Science & IT Control & Systems Engineering Engineering

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Analisis Dampak Penggunaan Content Management System (CMS) Open Source Terhadap Industri Portal Berita Media Online Maulana, Yusep
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1141

Abstract

Technological developments in the dissemination of information are increasingly rapid along with the increasing public need for fast and relevant access to information. The journalism industry is also following this trend by providing innovative information, especially through online platforms. Online news portals have become an inseparable part of the development of internet technology in the world of journalism, meeting the needs of an increasingly dynamic audience in seeking information. However, along with the emergence of this new media, especially with the use of social media and the development of journalism in website-based online news portals and mobile applications, there is an increasing need for technology to build online news portals. One technology that is widely used today is an Open Source based CMS, because apart from being cheap and easy to use, it is difficult to find a comparable alternative for building a modern online news portal. However, this research shows that the use of Open Source-based CMS, although it has many advantages, also has a number of problems that can have varying impacts on the long-term business of the online media industry. This research methodology uses a qualitative approach with descriptive research type to gain an in-depth understanding of this phenomenon.
Perancangan Sistem Informasi Geografis Pemetaan Lokasi Penghasil Kopi di Kabupaten Garut Menggunakan Rational Unified Process Nashrulloh, Muhammad Rikza; Kurniadi, Dede; Maulana, Yusep; Muttaqin, Moch Riefky Chaerul
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1247

Abstract

Coffee is a popular drink nowadays because many people like it. However, farmers and coffee drinkers in Garut Regency face the problem of not having access to real-time information about the geographical location of coffee producers in the region. Therefore, this research aims to develop a Geographic Information System (GIS)-based system that can provide spatial information about coffee producing locations in Garut Regency more easily. The methodology used in this research is the Rational Unified Process (RUP) which consists of inception, elaboration and construction stages. In this stage, data modeling will be carried out using Unified Modeling Language (UML) and system testing using Black-Box Testing. The final result of this research is the success of developing a Geographic Information System (GIS) for mapping coffee producing locations in Garut Regency. This system can be accessed via the web and provides spatial information about the geographic location of coffee producers easily and accurately. Alpha testing using the black-box testing method has been carried out to test various features in the system. The test results show that all features in the system work well and as expected. This testing also helps identify and fix some potential issues before the system is fully rolled out. With this system, it is hoped that it can help increase efficiency in obtaining information about coffee producing locations in the region.
Analisis Dampak Penggunaan Content Management System (CMS) Open Source Terhadap Industri Portal Berita Media Online Maulana, Yusep
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1141

Abstract

Technological developments in the dissemination of information are increasingly rapid along with the increasing public need for fast and relevant access to information. The journalism industry is also following this trend by providing innovative information, especially through online platforms. Online news portals have become an inseparable part of the development of internet technology in the world of journalism, meeting the needs of an increasingly dynamic audience in seeking information. However, along with the emergence of this new media, especially with the use of social media and the development of journalism in website-based online news portals and mobile applications, there is an increasing need for technology to build online news portals. One technology that is widely used today is an Open Source based CMS, because apart from being cheap and easy to use, it is difficult to find a comparable alternative for building a modern online news portal. However, this research shows that the use of Open Source-based CMS, although it has many advantages, also has a number of problems that can have varying impacts on the long-term business of the online media industry. This research methodology uses a qualitative approach with descriptive research type to gain an in-depth understanding of this phenomenon.
Perancangan Sistem Informasi Geografis Pemetaan Lokasi Penghasil Kopi di Kabupaten Garut Menggunakan Rational Unified Process Nashrulloh, Muhammad Rikza; Kurniadi, Dede; Maulana, Yusep; Muttaqin, Moch Riefky Chaerul
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1247

Abstract

Coffee is a popular drink nowadays because many people like it. However, farmers and coffee drinkers in Garut Regency face the problem of not having access to real-time information about the geographical location of coffee producers in the region. Therefore, this research aims to develop a Geographic Information System (GIS)-based system that can provide spatial information about coffee producing locations in Garut Regency more easily. The methodology used in this research is the Rational Unified Process (RUP) which consists of inception, elaboration and construction stages. In this stage, data modeling will be carried out using Unified Modeling Language (UML) and system testing using Black-Box Testing. The final result of this research is the success of developing a Geographic Information System (GIS) for mapping coffee producing locations in Garut Regency. This system can be accessed via the web and provides spatial information about the geographic location of coffee producers easily and accurately. Alpha testing using the black-box testing method has been carried out to test various features in the system. The test results show that all features in the system work well and as expected. This testing also helps identify and fix some potential issues before the system is fully rolled out. With this system, it is hoped that it can help increase efficiency in obtaining information about coffee producing locations in the region.
Transaction Segmentation of Supermarket Sales Data for Retail Decision Support Using K-Means Clustering Khoiriyyah, Fakhrun Mahda; Suhendar, Hery; Maulana, Yusep
Journal of Intelligent Systems Technology and Informatics Vol 2 No 1 (2026): JISTICS, March 2026
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v2i1.145

Abstract

The increasing availability of transactional data in the retail sector provides opportunities to support data-driven managerial decision-making. This study aims to segment supermarket sales transactions using the K-Means clustering method to identify meaningful transaction patterns that support retail decision-making. A publicly available supermarket transaction dataset was analyzed using selected numerical attributes representing purchase quantity, transaction value, and customer rating. To ensure reliable and interpretable clustering results, data standardization was applied, and the optimal number of clusters was determined using a combined validation strategy comprising the Elbow Method and the Silhouette Score. The results indicate that three distinct transaction segments were identified, characterized by similar purchase quantities but differing transaction values and customer satisfaction levels. Principal Component Analysis visualization confirms that the resulting clusters are well separated and interpretable. The findings demonstrate that integrating systematic cluster validation with interpretable cluster analysis provides practical insights for retail managers in designing targeted marketing strategies, improving customer satisfaction, and supporting inventory and promotional decision-making.
Co-Authors Dede Kurniadi Khoiriyyah, Fakhrun Mahda Muhammad Rikza Nashrulloh Muttaqin, Moch Riefky Chaerul Suhendar, Hery