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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Sistem dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Innovation in Business and Economics Building of Informatics, Technology and Science Sosiohumanitas: Jurnal Ilmu-Ilmu Sosial dan Humaniora Jurnal Manajemen Kewirausahaan Indonesian Journal of Electrical Engineering and Computer Science BERNAS: Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Journal of Health Research and Technology Guidance: Jurnal Bimbingan dan Konseling
Yudi Priyadi
Univesitas Telkom
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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Perancangan DFD Berdasarkan Hasil Pengukuran Kualitas Website Melalui Metode Webqual4.0 Pada jd.id Kanji Prasetiyo; Yudi Priyadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.045 KB) | DOI: 10.29207/resti.v2i2.395

Abstract

Currently JD.id website entered into five e-commerce website with the highest number of visitors in Indonesia, and no previous research that measures the level of quality of JD.id website. Measuring the quality of a website is useful to assess the overall e-commerce website based on consumer perceptions. This study aims to measure website quality using webqual 4.0 method based on user satisfaction variable with case study of JD.id website. Data Flow Diagram model is used to make system model recommendation design, while method of webqual 4.0 is used to measure website quality to user satisfaction. Research data in the form of questionnaires involving 384 respondents who had transacted on JD.id website. Data analysis techniques use descriptive statistics. Based on the results of research on the quality of JD.id website, simultaneously have a positive and significant impact on user satisfaction JD.id website. The result of partial test shows that three variables partially have a positive influence on user satisfaction JD.id website that is usability quality, information quality, and service interaction quality, with service interaction quality variable has the biggest influence. Therefore, system modeling using Context Diagram (CD) and Data Flow Diagram (DFD) focuses on service interaction quality variable with the addition of new entity that is CS Complain along with its process include procedure, processed complaint, and solution. Besides, there are also Data store Detail complaint.
Towards Generating Unit Test Codes Using Generative Adversarial Networks Muhammad Johan Alibasa; Rizka Widyarini Purwanto; Yudi Priyadi; Rosa Reska Riskiana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.844 KB) | DOI: 10.29207/resti.v6i2.3940

Abstract

Unit testing is one of the critical software development steps to ensure the software’s quality. Unit testing is often neglected despite its importance since it requires a significant amount of time and effort from the software developers to write them. Existing automated testing generating systems from past research still have shortcomings due to the limitations of the Genetic Algorithm (GA) in generating the appropriate unit test codes. This study explores the feasibility of using Generative Adversarial Networks (GAN) models to generate unit test code with the ability of GAN to cover GA’s drawbacks. We perform experimentations using four state-of-the-art GAN models to generate basic unit test codes and compare the results by analyzing the generated output codes using novel metrics proposed from past studies and performing a qualitative evaluation of the generated outputs. The results show that the generated codes have satisfactory quality scores (BLEU-2 of around 99%) from the models and adequate diversity scores (NLL-Div and NLL-Gen) in most models. Our study shows positive indications and potential in the use of GAN for automatic unit test code generation and suggests recommendations for future studies in GAN-based unit test code generation systems
Co-Authors ., Norita Abdurrahman Al Afifi Akraman, Robbi al-Jaberi, Musheer Angelia Brigitta Maharani M.P Candiwan Dewi, Karina Hasya Utami Dwi Endrasto Wibowo Dwi, Dawam Eko Darwiyanto Elengoe, Asita Fadel Diva Faisal, Bagus Gede Agung Ary Wisudiawan Gustiana Ayuni Putri Hafiz Izzamufid Ash Siddiqi Hapsari, Karina Indira Firli Widodo Jayadi Jayadi Kamila, Dhiya Kanji Prasetiyo Khairin, Amal Kusumo, Dana Sulistyo M. Mujahid Biagi Usama Mahendra Dwifebri Purbolaksono Marisa, Dewi Erna Memi Dwi Kartika Muhamad f Martasubrata Muhammad Johan Alibasa Nurdini, Rizki Amalia Nurtantyana, Rio NURUL AZIZAH Pramoedya Syachrizalhaq Lyanda Pramoedya Syachrizalhaq Lyanda Radiansyah, Ikhsan Rio Nurtantyana Riska Sukmawati Rizka Widyarini Purwanto Rosa Reska Riskiana Shinta Yulia Puspitasari Tetuko Muhammad Hanurogo Wahyuni, Santi Yuli Triastuti Yuni Cintia Yuze, Yuni Cintia