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PENGEMBANGAN MODUL PEMBELAJARAN MATA KULIAH INTERNET OF THINGS (IOT) BERBASIS PROYEK (PROJECT BASED LEARNING) St. Diva Az-zahra; Satria Gunawan Zain; Sanatang
VARIABLE RESEARCH JOURNAL Vol. 2 No. 02 (2025): APRIL 2025
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

Penelitian ini bertujuan untuk mengetahui validitas, kepraktisan, dan keefektifan Modul Pembelajaran Mata Kuliah Internet of Things (IoT) berbasis Proyek (Project Based Learning). Metode yang digunakan adalah R&D dengan model 4-D. Subjek penelitian ini adalah mahasiswa Teknik Komputer yang telah mengambil mata kuliah IoT. Instrumen pengumpulan data meliputi uji validasi, angket respon mahasiswa, dan penilaian hasil penggunaan modul. Menggunakan teknik analisis data deskriptif. Hasil penelitian menunjukkan modul ini sangat valid dengan persentase 94% dari ahli materi dan 96% dari ahli media. Kepraktisannya dinilai sangat praktis dengan persentase 83%, sedangkan keefektifannya dibuktikan dengan rata-rata ketuntasan belajar mahasiswa sebesar 84%. Dengan hasil tersebut, modul pembelajaran berbasis proyek ini layak digunakan dalam pembelajaran di Jurusan Teknik Informatika dan Komputer, Fakultas Teknik, Universitas Negeri Makassar.
Smart Parking System Based on Internet of Things Technology for Realtime Parking Slot Monitoring Yera Nafisy; Satria Gunawan Zain; Kurnia Prima Putra
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i3.9716

Abstract

This study aims to develop a parking system based on Internet of Things (IoT) technology to address the issues of parking space limitations and efficiency. The system is designed using an HC-SR04 sensor and an ESP32 microcontroller, with data displayed in real-time through an Android application based on MIT App Inventor. The research employed applied research methods, with data collection techniques involving observation and questionnaires. Data analysis was conducted using descriptive quantitative methods. The results showed that the system has a functionality value of 1 or 100%, and a usability level of 81%–100%, indicating that the system is highly suitable for use. Additionally, this system is energy-efficient, with a power consumption of only 0.9105 watts (5.607 mWh for 6 hours of use), and the Wi-Fi connection remains stable up to a distance of 20 meters. Sensor testing revealed that at distances of 50–100 cm, objects can still be detected up to an angle of ±45°, while at a distance of 150 cm, effective detection only occurs within the angle range of -30° to 30°. At a distance of 200 cm, objects are not detected at an oblique angle. These results demonstrate that an IoT-based smart parking system can function effectively and efficiently if the sensor placement is adjusted to its optimal range.