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All Journal Jurnal Informatika dan Teknik Elektro Terapan BIOCHEPHY: Journal of Science Education Research on Instrumentation International Journal of Applied Sciences and Smart Technologies
Mona Berlian Sari
Universitas Negeri Padang
Computer Science & IT Education

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A Groundwater Quality Monitoring System Using IoT and GPS Sally Lerian Edward; Riri Jonuarti; Mona Berlian Sari
Research on Instrumentation Vol. 2 No. 2 (2025): Research on Instrumentation
Publisher : RESSTECH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66926/rins.2025.23

Abstract

Conventional groundwater quality monitoring methods are often inefficient due to delays in data acquisition and limitations in spatial location tagging and automated data management. This study aims to develop a portable monitoring system based on NodeMCU ESP32 that is capable of measuring temperature, pH, TDS, and conductivity parameters in situ. The main innovation of this tool lies in the integration of a GPS module for mapping sample collection locations, automatic data storage to spreadsheets via an IoT platform, and a visual LED warning system calibrated according to the quality standards of PerMenKes No. 32 of 2017. Test results show that the system functions optimally with parameter accuracy levels reaching 95-99% and an error rate below 5% compared to standard measuring instruments. This system offers an effective solution for rapid, accurate, and digitally documented groundwater quality mapping
RANCANG BANGUN SISTEM KUALITAS TELUR AYAM RAS BERBASIS INTERNET OF THINGS UNTUK TRANSFORMASI DIGITAL PETERNAKAN Sylvia Delfi Mardiana Putri; Yulkifli Yulkifli; Mona Berlian Sari; Malikil Kudus Susalam
BIOCHEPHY: Journal of Science Education Vol. 5 No. 2 (2025)
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kualitas telur ayam ras merupakan faktor penting yang menentukan nilai jual dan daya saing produk peternakan. Namun, metode pengujian yang umum digunakan masih bersifat manual dan destruktif, sehingga kurang efisien untuk skala besar. Penelitian ini bertujuan merancang sistem pendeteksi kualitas telur berbasis Internet of Things (IoT) dengan sensor non-destruktif yang terintegrasi model machine learning. Sistem prototype dibangun menggunakan sensor berat, cahaya, dan warna yang dikendalikan oleh mikrokontroler ESP32, dengan hasil pengukuran ditampilkan melalui LCD dan dikirimkan secara real-time ke platform IoT. Nilai Haugh Unit (HU) digunakan sebagai acuan untuk melatih model klasifikasi, di mana algoritma K-Nearest Neighbors (KNN) menunjukkan performa terbaik. Hasil penelitian memperlihatkan sistem mampu mencapai akurasi 89% dalam prediksi HU, sehingga berpotensi digunakan sebagai solusi non-destruktif dalam klasifikasi mutu telur pada skala industri peternakan.
Design of a Portable Air Quality Monitoring System Using Internet of Things Based Multisensor Mona Berlian Sari; Dani Kurniawan
International Journal of Applied Sciences and Smart Technologies Vol. 8 No. 02 (2026): December 2026 — Forthcoming
Publisher : Faculty of Science and Technology, Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/1xvrjw93

Abstract

The rise in air pollution in the modern era, particularly in urban areas, has hurt public health. Current conventional systems can only measure a limited number of parameters. While several air quality monitoring systems exist, they are extremely expensive and therefore inaccessible to the general public. The objective of this system is to monitor air quality by detecting harmful gases and fine particles in indoor air at a low cost. This system uses a multisensor setup consisting of a DHT11 sensor, an MQ-135 sensor, and a GP2Y1010AU0F sensor to measure temperature, humidity, CO gas levels, and fine particle levels in the air. The method applied is an engineering research approach to design a portable air quality monitoring system. The result of this research is a portable air quality monitoring system based on the Internet of Things. The results of the characterization tests for each sensor in the system indicate that the system can measure the parameters accurately. The DHT11 sensor has a coefficient of determination of 0.998 and 0.998, the MQ-135 sensor has a coefficient of 0.986 and 0.957, and the GP2Y1010AU0F sensor has a coefficient of 1. Based on the regression equations obtained, the performance of the DHT11, MQ-135, and GP2Y1010AU0F sensors indicates that they can effectively respond to changes in temperature, CO levels, and dust levels occurring in the environment.
PERANCANGAN SISTEM OPTOELEKTRONIKA SEDERHANA MENGGUNAKAN CAHAYA ULTRAVIOLET UNTUK ANALISIS INTERAKSI CAHAYA DENGAN ZAT Dani Kurniawan; Mona Berlian Sari; Yohandri; Rahmat Hidayat
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.11021

Abstract

Analisis sifat penyerapan cahaya suatu zat memainkan peran penting dalam menentukan konsentrasi komponen penyusunnya yang memengaruhi stabilitas larutan, arah dan laju reaksi, serta sifat kimiawi zat-zat yang terkandung di dalamnya. Saat ini, pengujian kandungan dan konsentrasi zat dilakukan dengan menggunakan metode spektrofotometri, yang menawarkan akurasi pengukuran tinggi; namun, harga pembelian dan biaya pemeliharaan yang relatif tinggi membuat metode ini sulit diakses oleh masyarakat umum. Penelitian ini bertujuan untuk merancang sistem optoelektronik sederhana guna menganalisis interaksi cahaya dengan zat menggunakan radiasi ultraviolet. Penelitian ini menggunakan pendekatan teknik, dimulai dengan identifikasi masalah, tinjauan pustaka, analisis spesifikasi komponen, serta perancangan sistem optik dan elektronik, dan diakhiri dengan pembuatan dan pengujian. Sistem ini dirancang dengan LED UV 10W sebagai sumber cahaya dan sensor GUVA-S12SD sebagai detektor. Pengujian dilakukan melalui karakterisasi sensor dan pengujian akurasi. Hasil menunjukkan bahwa uji karakterisasi menghasilkan koefisien determinasi mendekati 1, sedangkan uji akurasi menunjukkan bahwa instrumen spektrofotometer ultraviolet memiliki akurasi rata-rata sebesar 98,99
Co-Authors Dani Kurniawan Malikil Kudus Susalam Rahmat Hidayat Riri Jonuarti Sally Lerian Edward Sylvia Delfi Mardiana Putri Yohandri Yulkifli Yulkifli