David Tjahjana
Universitas Multimedia Nusantara, Indonesia

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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

Digital technology is an integral part of the industrial era 4.0. Every industrial sector must employ technology to stay competitive. This research uses a case study from the CV DV Star company, which operates in the fashion industry. This company is beginning to require an integrated sales and distribution process in order to minimize human error. We propose to build a web-based information system for the sales and distribution process, which will enable users to manage data digitally, eliminating the need for paper-based. This system will cover inventory management, selling transactions, production process, and the reporting process. The system will be designed using the UML modeling language such as use case diagrams and activity diagrams. The method used to develop the system is prototyping. In the end, this web-based information system was implemented in the company.
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.