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Medication box management system with automatic dosing integrated with IoT-based Android app and Firebase Nurhakim, Raihan; Ath Thahirah Al Azhima, Silmi; Fahmi Arief Hakim, Nurul; Al Qibtiya, Mariya; Maulana, Luthfi; Rohman, Saepul
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8470

Abstract

Utilizing Firebase technology and an Android internet of things (IoT) application, the research endeavors to create a smart medicine box in order to enhance the efficacy of automated drug management. Hardware implementation, software implementation, and 3D design planning for automatic dosage adjustment are the methods utilized. The results prove that the application effectively controls the dosage, evacuation schedule, and quantity of the medication based on the user’s input. Boundary value analysis (BVA) black box testing demonstrated that every feature of the application functions as intended. Furthermore, the efficacy of drug production testing indicates that the smart medicine box exhibits a notable level of precision, albeit with a limited number of inaccuracies that could be rectifiable through additional parameter and mechanism optimizations within the drug box. Consequently, the investigation has effectively produced an automated drug management system that has the potential to enhance drug use supervision and safety, particularly for elderly services individuals residing alone.
IMPLEMENTATION OF IOT-BASED SMART MEDICINE BOXES TO IMPROVE MEDICATION COMPLIANCE AND PUBLIC HEALTH LITERACY IN PALASARI VILLAGE, CIBIRU DISTRICT Hakim, Nurul Fahmi Arief; Al Azhima, Silmi Ath Thahirah; Darmawati, Irma; Al Qibtiya, Mariya; Hartopo, Ibnu; Ridwan , Azwar Mudzakkir
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 4 (2025): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i4.3079

Abstract

Improving patient safety through proper drug management is particularly difficult for the elderly and people with chronic conditions. Due to low levels of health literacy and lack of access to health technology, numerous individuals in Palasari Village, Cibiru District still struggle to adhere to prescription schedules. As a technical solution to aid in appropriate medication administration, this community service research proposes an IoT-based smart medicine box. A community needs analysis, a prototype built on an ESP32 microcontroller, a dose detection sensor, and a notification system using a mobile app were all part of the implementation technique. Residents also participated in training and mentorship sessions. The trial included 27 participants who were evaluated using a Likert scale that measured their level of interest, comprehension, simplicity of use, and effectiveness with respect to the gadget. With an average score of 4.37 out of 5 (87.3%), the results demonstrated a high degree of acceptability, especially when it came to comprehending the gadget, the efficacy of medicine reminders, and the possibility of lowering the risk of medication mistakes. At the community level, this effort proves that basic technology based on the Internet of Things may enhance health literacy, patient safety, and medication adherence.
Development of the Android Application for the Landslide Disaster Mitigation Real-time System based on Firebase Server and OneSignal Aif Umar Nawawi; Arjuni Budi Pantjawati; Aip Saripudin; Nurul Fahmi Arief Hakim; Nurhidayatulloh Nurhidayatulloh; Novia Karostiani; Bagaskara Anandayutya; Alvin Dzaki Pratama Darmawan
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.674

Abstract

This article presents the development of SIDASIBELO (Landslide Information and Mitigation System), an Android-based application for real-time landslide monitoring and early warning. This system integrates data from several sensors that measure soil moisture, rainfall, slope angle, and ground vibrations at the monitored locations. The Firebase Real-time Database stores and transmits sensor data, while Firebase Cloud Messaging and OneSignal enable push notifications to alert users about potential landslide risks. There are four output status levels: SAFE, ALERT, CAUTION, and WARNING, which are determined based on a comprehensive analysis of the monitored parameters. Mitigation strategies include real-time parameter monitoring, early warnings, evacuation guidance, and user education on landslide preparedness. Testing on several Android devices demonstrated high compatibility, with an average successful server connection rate of 92.86%. Latency tests indicated an average response time of 894 ms from the input device to the database, 1.29 ms from the database to the Android device, and 2725 ms for push notifications. The system's total daily bandwidth usage for real-time data transmission is 27,648 MB, indicating high efficiency without overburdening the server's performance. While the app operates efficiently under ideal conditions, unstable network connections can lead to data retrieval failures or, in worst cases, app malfunctions. This remains a key challenge for our system. This system aims to raise awareness of landslide risks and enable timely evacuation, which could potentially reduce the negative impacts of landslides in vulnerable areas.