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All Journal Journal of Students‘ Research in Computer Science (JSRCS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer
Muhammad Zikry Al-Banna Lubis
Universitas Negeri Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mechanical Engineering

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SADEMIN: Sistem Cerdas Deteksi Kelayakan Makanan dan Minuman Berbasis Sensor Gas dan Internet of Things (IoT) Muhammad Zikry Al-Banna Lubis; Sukarman Purba; Tora Valentina Simatupang; Andri Saputra Harahap
Journal of Students‘ Research in Computer Science Vol. 7 No. 1 (2026): Mei 2026
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2d0xmp79

Abstract

Food safety is a fundamental aspect of public health; however, the rate of food poisoning in Indonesia remains alarmingly high, with reports indicating 4,711 cases by September 2025. This issue is compounded by the limitations of traditional methods that are subjective and the inability to detect food spoilage in its early stages, during which microorganisms start to emit Volatile Organic Compounds (VOCs) like ammonia and alcohol vapors that human senses cannot identify. The aim of this innovative concept is to create SADEMIN (Smart Food and Beverage Eligibility Detection System) as an intelligent detection system based on the Internet of Things (IoT) for objectively, accurately, and continuously monitoring food freshness. SADEMIN is engineered by incorporating MQ-135 gas sensors and MQ-3 alcohol sensors controlled by the ESP8266 microcontroller. This innovation operates by identifying gas emissions of ammonia and ethanol resulting from food degradation, assigning a "Not Suitable" status when gas levels hit a threshold of ≥ 32% or when alcohol concentrations are detected. The monitoring results are displayed locally on a 16x2 LCD and wirelessly transmitted to the Blynk app on mobile devices. Additionally, the system is equipped with an audio alert feature using the DF Player Mini module as an early warning system. Trial results indicate that SADEMIN has a high validity in distinguishing between suitable and unsuitable sample conditions in line with actual conditions. This innovation is anticipated to reduce the risk of food poisoning and contribute to achieving the SDG goal 3 regarding healthy and prosperous lives.
RANCANG BANGUN PARCELGUARD CAM BERBASIS IOT UNTUK KEAMANAN PAKET Muhammad Zikry Al-banna Lubis; N.A Fadya Rahman; Tora Valentina Simatupang; Melisa Triagustin
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 1 (2026): Prosisko Vol. 13 No. 1 Maret 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v13i1.11940

Abstract

Abs trak Pertumbuhan pesat e-commerce meningkatkan jumlah pengiriman paket ke rumah, sehingga risiko kehilangan dan pencurian paket semakin tinggi, terutama saat penerima tidak berada di tempat. Penelitian ini bertujuan merancang dan membangun sistem keamanan paket berbasis Internet of Things (IoT) bernama ParcelGuard Cam sebagai solusi smart home yang efektif dan terjangkau. Sistem ini menggunakan ESP32 sebagai pengendali utama, ESP32-CAM untuk pengambilan gambar, sensor PIR untuk mendeteksi pergerakan, serta load cell untuk memverifikasi keberadaan dan berat paket. Sistem bekerja dengan mendeteksi kedatangan kurir melalui sensor PIR, kemudian secara otomatis mengambil gambar sebagai dokumentasi. Setelah paket ditempatkan, load cell memvalidasi berat untuk memastikan paket benar-benar tersimpan sebelum mekanisme pengamanan diaktifkan. Informasi dan foto dikirimkan secara real-time kepada pemilik rumah melalui Telegram Bot API. Hasil pengujian menunjukkan bahwa sistem mampu bekerja secara terintegrasi dengan respons cepat dan tingkat akurasi deteksi yang baik. ParcelGuard Cam terbukti dapat meningkatkan keamanan paket dengan memberikan notifikasi langsung dan bukti visual, sehingga mengurangi risiko kehilangan serta mendukung penerapan teknologi IoT pada sistem keamanan rumah pintar. Kata kunci: IoT, keamanan paket, ESP32, smart home, Telegram Bot.  
Co-Authors Andri Saputra Harahap Melisa Triagustin N.A Fadya Rahman Sukarman Purba Tora Valentina Simatupang