Publications
Documented research findings, system architecture papers, and journal publications.
Perancangan Aplikasi Pelacakan Armada Logistik Berbasis Web dan GPS
Authors: Gerrant Hiya, S.Kom., et al.
Publisher / Journal: Jurnal Ilmu Komputer dan Sistem Informasi
Abstract
Perkembangan industri logistik menuntut adanya sistem pengelolaan armada yang lebih efisien dan transparan. PT XYZ masih menghadapi kendala pemantauan armada secara real-time serta perhitungan ongkos kirim yang akurat karena keterbatasan sistem yang digunakan. Penelitian ini merancang aplikasi pelacakan armada berbasis web dan Internet of Things (IoT) dengan mengintegrasikan modul GPS GY-NEO6MV2 dan mikrokontroler ESP32 untuk memantau posisi kendaraan secara real-time. Aplikasi dilengkapi dengan fitur perhitungan ongkos kirim otomatis, pengelolaan data armada dan sopir, serta pembuatan laporan performa pengiriman. Metode pengembangan perangkat lunak menggunakan Agile dengan framework Scrum melalui tahapan identifikasi kebutuhan, perencanaan sprint, pengembangan iteratif, dan pengujian. Sistem ini dibangun menggunakan framework CodeIgniter 3, bahasa pemrograman PHP, dan basis data MySQL. Hasil perancangan mencakup pemodelan dengan Unified Modeling Language (UML) dan perancangan basis data menggunakan Entity Relationship Diagram (ERD). Implementasi ini diharapkan dapat meningkatkan efisiensi operasional, transparansi informasi, dan kepuasan pelanggan dalam layanan logistik
DOI: 10.24912/jiksi.v14i2.38551
Associated Project: Web & IoT-Based Logistics Fleet Tracking ApplicationDesign of A Web and Internet of Things-Based Logistics Fleet Tracking Application
Authors: Gerrant Enriqo Hiya, et al.
Publisher / Journal: Internet of Things and Artificial Intelligence Journal
Abstract
This research aims to develop a real-time logistics fleet tracking system based on the Internet of Things (IoT) and a web platform to improve fleet visibility, delivery accuracy, and operational efficiency in small and medium logistics businesses. Many logistics companies still rely on manual or semi-digital tracking, resulting in delays, inaccurate position information, and low customer transparency. To address this issue, this study integrates the ESP32 microcontroller with the GY-NEO6MV2 GPS module to collectand transmit real-time location data to a cloud server. A responsive web application was designed using the CodeIgniter 3 framework to visualise fleet movement, manage cargo data, and calculate delivery costs based on actual route distance. The development process follows the Agile–Scrum methodology with iterative sprints, daily evaluations, and continuous refinement. UML modelling is used to describe system workflows through use-case, activity, sequence, and class diagrams. Real-time GPS performance is also analysed using Quality of Service (QoS) metrics, including latency, update interval stability, and coordinate accuracy. System testing shows an average GPS latency of 180–220 ms, accuracy deviation of ±3–5 meters in open areas, and consistent update intervals of 5 seconds. System Usability Scale (SUS) testing produced a score of 78.3 (“Good”), indicating that the system is intuitive for users. User Acceptance Testing (UAT) conducted with XYZ Cargo confirms that all features meet operational needs. Overall, the results show that the proposed IoT-enabled tracking system significantly enhances transparency, monitoring capability, and decision-making efficiency in logistics operations.
DOI: 10.1234/ghiya.iot.2024.01
Associated Project: Web & IoT-Based Logistics Fleet Tracking Application