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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Digital Transformation Technology (Digitech) Jurnal Ilmiah Informatika dan Komputer Jurnal Komtika (Komputasi dan Informatika)
Karay, Jeni
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Computer Science & IT Engineering Library & Information Science

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Journal : Jurnal Ilmiah Informatika dan Komputer

 1 
Optimalisasi Penjualan Buah-Buahan dalam E-Commerce Memanfaatkan Wix Builder: Solusi dan Implementasi Rumetna, Matheus Supriyanto; Karay, Jeni; Lina, Tirsa Ninia; Matahelumual, Frety; Rieuwpassa, Habel S.J; Saflesa, Susance
Jurnal Ilmiah Informatika dan Komputer Vol. 1 No. 1 (2024): Juni 2024
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/4vft0v33

Abstract

Dalam era digital, e-commerce telah menjadi solusi utama bagi pedagang buah-buahan untuk menjangkau konsumen secara luas. Platform seperti Wix Builder memudahkan pembangunan dan pengelolaan toko online tanpa keterampilan pemrograman yang rumit. Dengan fitur-fitur intuitif dan responsif, termasuk integrasi pembayaran yang aman dan analitika kinerja, Wix Builder memberikan solusi efektif bagi pedagang buah-buahan dalam memasuki pasar e-commerce. Pedagang dapat menampilkan produk, memberikan informasi harga dan kualitas, serta meningkatkan keterlibatan konsumen dengan fitur personalisasi dan promosi. Toko Buah Safar, misalnya, menghadapi berbagai masalah, termasuk keterbatasan jangkauan, visibilitas, waktu operasional, dan hubungan pelanggan yang kurang efisien. Namun, dengan adopsi e-commerce melalui Wix Builder, toko buah dapat mengatasi masalah ini dengan memperluas jangkauan pasar, meningkatkan visibilitas, memperpanjang jam operasional, dan memperkuat hubungan dengan pelanggan. Alur penelitian dari requirements, design and build, testing, evaluation, hingga implementation. Adapun menu dan fitur yang dihasilkan yaitu Menu Beranda, Belanja, Tentang, Kontak, terdapat pula fitur Cart, fitur Pencarian, serta fitur Chat. Hal ini memberikan landasan yang kuat untuk kesuksesan implementasi e-commerce, yang diuji menggunakan metode Blackbox sebelum diluncurkan.
Application of the Hungarian Algorithm for Workforce Task Optimization in Mobile Device Repair Operations Rumetna, Matheus Supriyanto; Lina, Tirsa Ninia; Karay, Jeni; Santoso, Agustinus Budi; Ferdinandus, Wiesje
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/e2g89887

Abstract

An imbalance in task assignments within a business unit can decrease efficiency and extend job completion time. To address this issue, an optimization approach is required to allocate tasks effectively and minimize total working time. This study analyzes the application of the Hungarian Method to optimize employee assignments at Konter Bintang Sorong, aiming to achieve the most efficient mobile phone repair time. A quantitative approach was employed using the Hungarian algorithm implemented through POM-QM for Windows version 5. Data were collected through observation, interviews, and documentation related to repair durations for each task type. The findings show that the Hungarian Method produced the most efficient task allocation: employee Willi repaired connectors in 25 minutes, Aksa handled software issues in 60 minutes, and Fadli repaired LCD components in 10 minutes. These results indicate that the Hungarian Method effectively reduces average repair time and increases the number of devices serviced within a given period. Thus, it serves as an effective optimization tool for improving task distribution, operational efficiency, and customer satisfaction.
Optimization of Employee Task Assignments Using the Hungarian Method and POM-QM at Serupa Cafe Ninia Lina, Tirsa; Rumetna, Matheus Supriyanto; Karay, Jeni; Hetharia, Charliany; Tindage, Jalmijn
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/1yvhdt46

Abstract

This study aims to optimize employee task assignments at Serupa Café, which faces issues of workload imbalance and inefficient task completion times. The research gap lies in the limited application of algorithm-based optimization methods within human resource management in the food and beverage service sector. To address this, the study applies the Hungarian Method, an algorithmic approach with a time complexity of O(n³), to determine the most efficient pairing between employees and tasks. The computation and validation processes were carried out using the POM-QM for Windows software as a quantitative analysis tool. The results indicate that the optimal assignment configuration achieved a total completion time of 85 minutes, with complete consistency between manual and software-generated results. System testing demonstrated high computational efficiency and no logical errors during data processing. Therefore, this study concludes that integrating the Hungarian Method with POM-QM significantly enhances operational performance and contributes to the application of informatics techniques for optimizing human resource management within the service industry.
Co-Authors Agustinus Budi Santoso Barreto, Cesario Ferdinandus, Wiesje Hetharia, Charliany Kaitelapatay, Big Greogory Kaitelapatay, S.Kom., M.Kom., Big Greogory Komansilan, Reinhard Matahelumual, Frety Matheus Supriyanto Rumetna Nugrahanning Esa Pratiwi Rieuwpassa, Habel S.J Saflesa, Susance Tamu Ama, Aldian Umbu Tindage, Jalmijn Tirsa Ninia Lina