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All Journal Computing and Information System Journal Julia Jurnal
M Lutfi MA
STMIK Bina Patria
Computer Science & IT

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Sistem Informasi Persediaan Domba Pada Asosiasi Kelompok Ternak Domba Secang Grabag Berbasis Google Maps Setyo Pamungkas; M Lutfi MA; Fatkhurrochman
Julia: Jurnal Ilmu Komputer An Nuur Vol 6 No 1 (2026): juliajournal
Publisher : LPPM Universitas An Nuur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35720/julia.v6i1.55

Abstract

The dissemination of information related to the location and availability of sheep within livestock group associations is still carried out manually, making it less effective and hindering consumers from obtaining accurate information. This study aims to design and develop a Sheep Inventory Information System based on Google Maps to help livestock groups disseminate information interactively and improve data accessibility for the public. The system was developed using the Waterfall model, with modeling through Unified Modeling Language (UML) and database design using Entity Relationship Diagram (ERD). It was built using the PHP programming language with the CodeIgniter framework and a MySQL database. Testing was conducted using the Black Box Testing method. The results show that all system functions run properly, and user evaluation using the Likert scale obtained a feasibility percentage of 86%, which is categorized as highly feasible.
IoT-Based Sleep Quality Monitoring Simulation With Sleep Condition Analysis Using Fuzzy Logic M LUTFI MA
Computing and Information System Journal Vol. 2 No. 1 (2026): Inovasi Teknologi Cerdas Berbasis AI, IoT, dan Data Mining di Era Digital
Publisher : IndoCompt Publisher

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Abstract

This research aims to develop a low-cost IoT-based sleep quality Monitoring Simulation with Sleep Condition analysis using fuzzy logic for real-time physiological data acquisition and classification. The study employed the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The system integrates MAX30100 heart rate sensor, DHT22 temperature sensor, and MPU6050 motion sensor with an ESP32 microcontroller. A Mamdani fuzzy inference system was implemented to classify Sleep Conditions based on heart rate, body temperature, and body movement parameters. The system was simulated using Wokwi and Cisco Packet Tracer, with fuzzy rules developed in MATLAB and embedded programming in Arduino IDE. The Blynk IoT platform was utilized for remote monitoring. Validation included Black Box Testing and User Acceptance Testing (UAT) with ten respondents. The system successfully acquired real-time physiological data and transmitted it to the Blynk cloud platform. The fuzzy logic algorithm effectively processed sensor data uncertainty, classifying health conditions into "Healthy," "Warning," or "Critical" status. Black Box Testing confirmed all main functions operated according to specifications. UAT yielded an 88% satisfaction score, indicating the system is highly feasible, user-friendly, and beneficial for independent sleep monitoring. This research contributes a practical, affordable IoT-based sleep monitoring architecture integrating fuzzy logic for Sleep Condition classification on embedded systems, offering an accessible alternative to conventional clinical methods for personal health management.
Co-Authors Fatkhurrochman Setyo Pamungkas