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Perancangan Platform Internet of Things sebagai Sistem Komunikasi Dua Arah untuk Pemantauan pH Air Joniwarta; Ridwan; Kustanto, Prio
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/x78gac94

Abstract

Water quality monitoring is a critical component in ensuring environmental sustainability and public health. The degree of acidity (pH) is one of the key parameters used to assess water quality, as it directly affects the suitability of water for domestic and industrial applications. Conventional water pH measurement systems are typically local and rely on manual data recording, resulting in limited data accessibility, susceptibility to human error, and the absence of structured historical records. This study presents the design of an Internet of Things (IoT) platform as a two-way communication system between water pH sensing hardware and a cloud-based digital platform. The proposed system consists of a pH sensor, a network-enabled microcontroller, a cloud platform for centralized data management, and a web-based dashboard as the user interface. Two-way communication enables the system not only to transmit real-time measurement data but also to receive configuration commands from users. Experimental results indicate that the proposed IoT platform improves the efficiency of water pH monitoring, reduces reliance on manual data recording, and provides structured historical data to support long-term analysis.  
Implementasi Forward Chaining pada Sistem Pakar Diagnosa Kerusakan Laptop Berbasis Web: Studi Kasus Layanan Servis Laptop Permadi, Dimas; Kustanto, Prio; Yasir, Muhammad; Noeman, Achmad; Hidayat, Agus; Handayani, Dwipa
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/paw2f574

Abstract

Laptop damage diagnosis at PT Tsurtech Solution is currently carried out manually, which can take more time and requires the technician's experience to identify problems accurately. This research aims to design and implement a web-based expert system to assist in diagnosing laptop damage based on symptoms inputted by users. The system is developed using the Forward Chaining algorithm, a data-driven reasoning method that matches facts (symptoms) with a set of predefined rules to conclude the type of damage. The system is built using the Waterfall development method, assisted by UML diagrams, and implemented with PHP programming language and MySQL database. Blackbox Testing is used to evaluate the system’s functionality. The results show that the system can be used as a supporting tool to help both users and technicians perform initial laptop damage diagnosis more quickly and efficiently.