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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
Achmad Arwan
Unknown Affiliation
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)
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 Huttaqi Sulthon, Ibar Jonemaro, Eriq Muhammad Adams Julia Nur Fajrina Rachmad, Zikfikri Yulfiandi Raihan Ghafar, Muhammad Sagita, Denny Santoso, Nurudin Sigit Adinugroho Siti Rochimah Tri Astoto Kurniawan Wijaya Kurniawan Yuita Arum Sari Yuni Widyaningtyas, Yuni