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All Journal TEKNOLOGI: Jurnal Ilmiah Sistem Informasi JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jiko (Jurnal Informatika dan komputer) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Teknologi Informasi dan Informatika
Achmad Arwan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mathematics Social Sciences Other

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Journal : journal of information technology and computer science

 1 
Automation Of Independent Path Searching using Depth First Search Arwan, Achmad; Sagita, Denny
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1086.772 KB) | DOI: 10.25126/jitecs.20183162

Abstract

In a basis path testing, there are independent paths that must be passed/tested at least once to make sure there are no errors in the code and ensure all pseudocode have implemented on the code. Previously, the independent path was generated using the Genetic Algorithm, but the number of iterations influenced the likelihood of the emergence of the corresponding the independent path. Besides, the pseudocode was also unable to be used directly since it must be implemented first, this makes finding an independent path longer because it has to implement the code. This research aims to find out how to find the independent path directly from pseudocode using a graph and how well the Depth First Search algorithm in finding the independent path. It was chosen because it was able to find the paths from a point to a particular point in a graph. The result of the system accuracy test was able to find the correct independent path as much as 52 from 76 test data, where the result of accuracy is 68.4% on average.
Maintenance Web Based Applications Using Feature Location Arwan, Achmad; Rusdianto, Denny Sagita
Journal of Information Technology and Computer Science Vol. 5 No. 2: August 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1266.433 KB) | DOI: 10.25126/jitecs.202052180

Abstract

Maintenance web applications are a complex set of efforts. The FilkomApps are the web application used by the Faculty of Computer Science of Universitas Brawijaya to arrange the academic, theses of students, assignment of faculty, inventory, presence, honorarium. It has about 6K number of files(HTML, PHP, JS, CSS). The feature location was able to help the maintenance of the web applications by locating specific features on the files. The process comprises of preprocessing (tokenizing, web language syntax removal, splitting, stopword and stemming), indexing (VSM Lucene), and evaluations (precision and recall). The experiments were done by querying the keywords originate from previous maintenance modification effort and feature of a system. The results of precision were 86% and recall were 47%. The precision was better 374% than the conventional method (using the IDE search feature)
Detection of God Class Smells in PHP Systems Using Object-Oriented Metrics Toofani, Naveed; Priyambadha, Bayu; Arwan, Achmad
Journal of Information Technology and Computer Science Vol. 11 No. 2: August 2026
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2026112892

Abstract

Software maintainability becomes difficult when object-oriented systems contain God Class code smells, where a single class handles excessive responsibilities and controls large portions of system behavior. Most existing God Class detection approaches use metric thresholds developed for statically typed languages such as Java, which may not accurately represent the architectural characteristics of dynamically typed PHP systems. This problem can reduce software maintainability, increase system complexity, and complicate future development and testing activities. This study applies a quantitative empirical research approach to evaluate metric-based God Class detection in PHP systems. Twelve open-source PHP projects containing 7,866 classes were collected from GitHub and analyzed using the PDepend static analysis tool. The extracted object-oriented metrics included Weighted Methods per Class (WMC), Number of Public Methods (NPM), Depth of Inheritance Tree (DIT), and Lines of Code (LOC). A class was classified as a God Class when at least three out of four threshold values were exceeded. The detection results were validated using statistical analysis, K-Means clustering, machine learning consistency validation, PHPMD comparison, and expert manual validation. The results identified 421 God Classes and showed that WMC, NPM, and LOC are strong indicators of God Class behavior in PHP systems, while DIT has lower influence due to framework-based inheritance structures. The study demonstrates that metric-based detection can effectively identify maintainability problems in PHP applications and provides a foundation for future PHP-specific threshold development.
Co-Authors Achzubi, Muhammad Rayhan Agi Putra Kharisma, Agi Putra Ahmad, Harun Alfidhinnuni, Mohammad Ilham Bayu Priyambadha Denny S. Rusdianto, Denny S. Denny Sagita Rusdianto Dian Eka Ratnawati Eko Sakti Pramukantoro, Eko Sakti Eriq Muhammad Adams Jonemaro Faizatul Amalia Fajar Pradana Fajar Pradana Fardiana Risa, Diva Fitra Abdurrachman Bachtiar Huttaqi Sulthon, Ibar Ilmi, Hafiz Jonemaro, Eriq Muhammad Adams Julia Nur Fajrina Kamajaya Ariestuta, I Made Rachmad, Zikfikri Yulfiandi Raihan Ghafar, Muhammad Sagita Rusdianto, Denny Sagita, Denny Santoso, Nurudin Sigit Adinugroho Siti Rochimah Tarigan, Leonard Toofani, Naveed Tri Astoto Kurniawan Wijaya Kurniawan Yuita Arum Sari Yuni Widyaningtyas, Yuni