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All Journal Semantik JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Technomedia Journal Journal of Information System,Graphics, Hospitality and Technology Zonasi: Jurnal Sistem Informasi Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Jurnal Informatika dan Sistem Informasi (JUISI) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Sistem Informasi Widya Teknik
Indra Maryati
Universitas Ciputra Surabaya
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Automated Software Testing for Multi Platform Applications using Katalon Suhatati Tjandra; Indra Maryati; Joshua Theopilus
Widya Teknik Vol. 20 No. 1 (2021): May
Publisher : Fakultas Teknik, Universitas Katolik Widya Mandala Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/wt.v20i1.3114

Abstract

The testing process is not only useful for testing existing features, but also for finding errors on websites and mobile applications. It also provides feedback to the developer about the application being tested. To test large scale applications, a test automation is needed so that testing can be done more efficiently and effectively. Katalon Studio is an automation testing tool developed by Katalon LLC to automate testing on websites, API's and mobile applications. The programming languages used to create scripts in Katalon Studio are Groovy, Java, and Javascript. The scripting technique provided by Katalon Studio is a keyword driven approach where keywords in the method of Katalon Studio are used to represent the actions performed by tester on the application being tested. Katalon Studio will also facilitate tester in documenting testing results or test reports in the form of charts, graphs, and detailed reports using Katalon Analytics. The results of the testing show that the use of Katalon Studio helps both beginner and experienced tester create and design automation testing on websites, APIs, and mobile applications with spy and record utilities features. Katalon Studio also provides interactive test reports in the form of graphic visualization. From the results of API testing, it can be concluded that Katalon Studio makes it easy for tester to do end to end API testing without additional integration with other software.
Usability Evaluation on “LYFY” as an e-Marketplace Tool for the National Batik Industry Witanto, Elizabeth Nathania; Permana, Belinda Putri Adi; Wiradinata, Trianggoro; Oktian, Yustus Eko; Maryati, Indra
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.11858

Abstract

In the current digital era, e-commerce has emerged as a primary choice for many business actors, particularly Micro, Small, and Medium Enterprises (MSMEs) specializing in batik products. Live streaming commerce has gained popularity as an effective marketing strategy, enabling direct interaction between sellers and consumers. However, challenges such as audience engagement and the need for prompt responses to questions or comments during live sessions pose significant issues that need to be addressed. To assist MSMEs optimize this strategy, the application of Artificial Intelligence (AI) and Machine Learning (ML) technologies can provide innovative solutions. LYFY, an AI-driven e-marketplace platform, was developed to support batik MSMEs by facilitating product promotion, enhancing consumer interaction, and enabling efficient transactions through features such as live streaming and size prediction tools. To assess the effectiveness of LYFY's user interface and overall experience, a usability evaluation was conducted using two standardized frameworks: ISO 9241-11 and the Usability Metric for User Experience (UMUX-Lite). The finding suggests that LYFY provides a high-quality user experience and is well-positioned to support the digital transformation of Indonesia’s batik SMEs.
RANCANG BANGUN SISTEM MANAJEMEN TRANSAKSI DAN STOK BARANG TOKO KUTUS-KUTUS BAJRA Satriani, Putu Denisa Florence; Maryati, Indra
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 3 (2023): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2023
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i3.14024

Abstract

Pada era digital saat ini, banyak kemudahan yang ditawarkan oleh internet. Mulai dari kemudahan pertukaran informasi, efisiensi waktu, ketelitian perhitungan dll. Begitu juga dengan sistem pencatatan jual beli yang relatif mudah dan cepat dapat membantu para pelaku usaha untuk menggerakkan bisnisnya. Namun, tidak semua usaha / bisnis menggunakan komputer dalam operasional bisnis mereka. Toko Kutus-Kutus Bajra masih menggunakan metode konvensional seperti pencatatan transaksi serta stok secara manual. Hal ini mengakibatkan pemilik Toko Kutus Kutus Bajra menjadi kewalahan mencatat satu demi satu pesanan pelanggan juga menimbulkan masalah baru yaitu pelayanan yang lambat. Oleh karena itu dibangun aplikasi sistem pencatatan transaksi dan stok yang terdigitalisasi dengan database pada perangkat laptop.
Interpretable Temporal Risk Modeling for Contributor Inactivity Prediction: A Comparative Study of Tree-Based Ensembles Adi Suryaputra Paramita; Indra Maryati; Christian Christian; Elizabeth Nathania Witanto; Auezova Raya Tileubaevna; Choo Wou Onn
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1311

Abstract

This study aims to develop an interpretable temporal risk modeling framework for predicting contributor inactivity in collaborative development environments, thereby supporting sustained participation and improving productivity. The research focuses on contributor activity data collected from a collaborative software development platform, in which participation histories are represented by temporal engagement features that capture activity recency, participation intensity, and contribution patterns over time. To model inactivity risk, several tree-based ensemble learning algorithms, including Random Forest, XGBoost, LightGBM, and a stacking ensemble, are employed and evaluated under imbalanced classification conditions. Experimental results demonstrate strong predictive performance across models, with Random Forest achieving the highest AUC of 0.9401, while XGBoost obtains the best Matthews Correlation Coefficient (0.7353). The novelty of this study lies in prioritizing structured temporal behavioral representation through normalized temporal engagement features rather than increasing model complexity, enabling more interpretable inactivity risk modeling. The findings provide practical implications for collaborative platform managers by enabling early identification of contributor disengagement, supporting sustained participation, improving productivity, and facilitating continuous product innovation.
Co-Authors . Gunawan . Gunawan . Gunawan . Gunawan Adi Suryaputra Paramita Adnyana, I Wayan Bayu Auezova Raya Tileubaevna Budianto, Herman Calvin Leonardo Choo Wou Onn Christian Christian christian christian Citra, Caecilia Citra Daniel Martomanggolo Wonohadidjojo Devi Dwi Purwanto Edwin Kurniawan Elizabeth Nathania Witanto Elizabeth Nathania Witanto Esther Irawati S. Gunawan Gunawan Hendrawan Armanto Henry Kurniawan Wibowo Herman Budianto Indrasanti, Zefanya Oktaviana Ivana, Angeline Joan Santoso Joshua Theopilus Laura Mahendratta Tjahjono Lie, Kristian Malvin Patrick Kurniawan, Mochammad Machlul Alamin Nugroho, Elisabeth Inez Permana, Belinda Putri Adi Rinabi Tanamal Rossy P. C. Satriani, Putu Denisa Florence Sudjana, Alvin Cahya Suhatati Tjandra Trianggoro Wiradinata Wibowo, Wilbert Bryan Yaurentius, Francois Verrel Yosua Setyawan Soekamto Yustus Eko Oktian