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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Simetris Jurnal technoscientia Sinkron : Jurnal dan Penelitian Teknik Informatika JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Informatika dan Rekayasa Perangkat Lunak JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Pendidikan dan Teknologi Indonesia COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Journal of Intelligent Software Systems Eduvest - Journal of Universal Studies Journal Of Artificial Intelligence And Software Engineering
Andriyani, Widyastuti
Universitas Teknologi Digital Indonesia, Yogyakarta
Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences Other

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Journal : Journal Of Artificial Intelligence And Software Engineering

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Software Testing in E-Commerce: A Comparison Between Manual and Automated Testing Using Katalon Studio and Python Rakly, Brian Duen; Andriyani, Widyastuti
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6448

Abstract

Software testing is a crucial element in software development to ensure quality and reliability. This study compares manual and automated testing using tools like Katalon Studio and Python. Manual testing is effective for scenarios requiring human judgment, such as user experience (UX) evaluation. In contrast, automated testing is more efficient for routine and repetitive tasks, reducing human error and speeding up the process. This study evaluates the effectiveness, efficiency, and costs of both methods in the context of e-commerce software testing. The results indicate that manual testing is superior in detecting defects before release, while automated testing is more cost-effective and time-efficient for repetitive testing. This guide assists developer for selecting the appropriate testing method based on their project needs.
Fruit Image Classification Using Naive Bayes Algorithm with Histogram of Oriented Gradients (HOG) Feature Extraction Saputra, Andika Jodhi; Andriyani, Widyastuti
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6536

Abstract

A classification system using Naïve Bayes algorithm was developed to distinguish between fresh and rotten fruits, specifically apples, bananas and oranges. This research utilized a dataset consisting of 13,599 images and applied the Histogram of Oriented Gradients (HOG) technique for feature extraction, followed by model training and evaluation. The results showed that the Naïve Bayes algorithm achieved an accuracy of 87%, with the highest precision in the fresh apple class (0.9792) and the highest recall in the rotten apple class (0.9843). The rotten banana class showed a balanced performance with the highest F1-score of 0.9085. Although there were some misclassifications, especially in the rotten citrus fruit category, this study shows that image processing techniques have great potential and are reliable for assessing fruit quality based on visual characteristics.
Co-Authors Agung Nugroho, Muhammad Akhmad Dahlan Asyahri Hadi Nasyuha B.T. Sutrisno Bagas Triaji Bambang Purnomosidi Dwi Putranto Bradika Almandin Wisesa Cucut Hariz Pratomo Danny Kriestanto, Danny Domy Kristomo, Domy Duen Rakly, Brian Femi Dwi Astuti Femi Dwi Astuti Hamdani Hamdani Hendra Hengki Hengki Heri Muhrial Herwantono, Herwantono Kuindra Iriyanta Laksono, Triyan Agung Miftahul Huda Nugroho, Muhammad Agung P.D.P., Bambang Pangestika , Elza Qorina Pereira, Elisabet da Conceição Pujianto Pujianto Purnomosidi D.P, Bambang Purnomosidi Dwi Putranto, Bambang Putra, Fadhlih Girindra Rakly, Brian Duen Rifky Lana Rahardian Rikie Kartadie Roh Bintang Jaya, Mabrur Ruas da silva, Ivonia Fatima Said, Famidin Saputra, Andika Jodhi Saryanto Saryanto Sipayung, Hotma Sadariahta Suningrat, Nining Suryanto Suryanto Taufik Ismail Totok Suprawoto Tri Andi, Tri Wiwi Widayani, Wiwi Yohanni Syahra Yuli Astuti