Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan
David Tjahjana
Universitas Multimedia Nusantara, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Image Error Detection: A Systematic Literature Review Raymond Oetama; David Tjahjana; Iwan Prasetiawan; Catherine Anastasia
G-Tech: Jurnal Teknologi Terapan Vol 7 No 3 (2023): G-Tech, Vol. 7 No. 3 Juli 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i3.2494

Abstract

The advancement of technology, as well as the creation of new techniques and methodologies for image analysis, is rapid. However, image detection may face some errors. Image error detection will be discussed in this comprehensive literature review. Throughout the papers, this work attempts to learn about the types of images used, algorithms that are frequently used, techniques that are frequently used, and metrics used to test the correctness of the suggested approach. The most commonly used image type is medical images such as Magnetic Resonance Imaging, the algorithm that is widely used is a Convolutional Neural Networks based algorithm. The method that is widely used is a machine learning-based method, and the measurement that is widely used is a Peak Signal Noise Ratio measurement method to measure the accuracy of the algorithm.
Transformasi Proses Penjualan dan Distribusi Melalui Solusi Digital Berbasis Web Pada Perusahaan Fashion Radithya Saputra; Ririn Ikana Desanti; David Tjahjana
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.4815

Abstract

Dalam era Industri 4.0, teknologi digital menjadi elemen krusial dalam operasi bisnis, terutama di industri fashion. CV DV Star, yang didirikan pada tahun 2017, menghadapi tantangan signifikan dalam manajemen inventaris, akurasi transaksi, dan sinkronisasi data. Tujuan dari penelitian ini adalah untuk mentransformasi proses penjualan dan distribusi CV DV Star melalui sistem Enterprise Resource Planning (ERP) berbasis web yang terintegrasi. Metode pengumpulan data meliputi wawancara dan observasi, memberikan pemahaman yang komprehensif tentang proses bisnis yang ada di perusahaan. Dengan menggunakan metode prototyping, sistem ERP dikembangkan dengan modul-modul untuk manajemen stok, pemrosesan transaksi, pengawasan produksi, dan pelaporan. Hasil penelitian menunjukkan peningkatan signifikan dalam akurasi data, efisiensi operasional, dan produktivitas keseluruhan. Dengan mengadopsi solusi digital ini, CV DV Star dapat mengelola inventaris dengan lebih baik, memastikan distribusi produk tepat waktu, dan menjaga catatan transaksi yang akurat, yang pada akhirnya meningkatkan daya saing dan produktivitas perusahaan.
Web-Based Logistics Scheduling System Utilizing Cheapest Insertion Heuristic Algorithm Chevanton Ernesto Guevara; Raymond Sunardi Oetama; David Tjahjana
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.5613

Abstract

Efficiency in the logistics process is essential to maintain company credibility. Significant improvements in logistics efficiency can be achieved by integrating information systems. However, several companies have not implemented this system. These companies will face logistical challenges, especially in scheduling, which will cause delays in the delivery of goods. Against this challenge, this research aims to build a web-based information system to optimize logistics scheduling. This system aims to provide drivers with a compelling sequence of delivery points by applying the Cheapest Insertion Heuristic algorithm, which is integrated with the Google Maps API. This system will undergo a prototyping phase with a web-based approach using the Laravel framework, supported by PHP and MySQL for database management. This design will follow the Rapid Application Development method. User Acceptance Testing shows an average satisfaction score of 98%, which indicates that users feel significantly helped by the information system, especially in improving the company's delivery scheduling process.
Co-Authors Catherine Anastasia Chevanton Ernesto Guevara Iwan Prasetiawan Radithya Saputra Raymond Oetama Raymond Sunardi Oetama Ririn Ikana Desanti