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Implementasi Sistem Pakar dalam Kalkulasi Bantuan Korban Bencana Alam dengan Metode Help Victims of Natural Disasters Calculation Using Expert System Senna Hendrian; Muhammad Tri Habibie; Ade Kurnia Solihin; Umar Wirantasa; Wisdariah Wisdariah; Gerie Munggaran; V.H Valentino
Venus: Jurnal Publikasi Rumpun Ilmu TeknikĀ  Vol. 3 No. 2 (2025): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v3i2.806

Abstract

Handling natural disaster victims requires a fast, precise, and fair aid distribution process. In this context, expert systems can be utilized as a decision-making tool in determining the type and amount of aid that should be given to victims. This article develops a desktop-based expert system using the Java programming language, which is able to calculate the type of aid based on the condition of the victim, the level of damage, and the number of affected family members. The method used is a rule-based expert system with if-then logic. The results show that this system can assist field officers in accelerating the calculation and distribution of aid.
Smart Body Temperature Monitoring Berbasis IoT dengan Integrasi Kamera Smartphone Senna Hendrian; V. H. Valentino; Wisdariah Wisdariah; Danang sutrisno; Nico Bustanul Anshary
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 4 No. 2 (2026): Mei: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v4i2.1657

Abstract

The development of Internet of Things (IoT) technology has encouraged innovation in the healthcare sector, particularly in monitoring human body temperature in real time. Body temperature monitoring is important as an early indicator of health conditions. This study aims to design and implement a Smart Body Temperature Monitoring system based on IoT integrated with a smartphone camera for user monitoring and identification. The system utilizes an ESP32 microcontroller, MLX90614 temperature sensor, and smartphone integration to display monitoring results in real time through an IoT dashboard. The research method used is the Waterfall method consisting of requirements analysis, system design, implementation, testing, and maintenance. The results show that the developed system is capable of monitoring body temperature accurately and transmitting data in real time via internet connection. The integration of smartphone cameras also improves user monitoring effectiveness and supports digital healthcare systems. Based on system testing, the application operates properly and can support body temperature monitoring activities efficiently.