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All Journal Journal of Computer System and Informatics (JoSYC) Journal of Renewable Energy and Smart Device
Erniajan, Yunita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Penerapan Model Waterfall dalam Pengembangan Perangkat Lunak Pemantauan Tanaman Anggur Berbasis Mobile Menggunakan IoT Kasliono, Kasliono; Ruslianto, Ikhwan; Erniajan, Yunita
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5099

Abstract

Unfavorable tropical climatic conditions as well as the status of grapes as not a national priority commodity, have led to high production costs and low productivity in grape cultivation in the pontianak area. So this research has The purpose to conceptualize and develop an IoT-based Android application that allows observation of grape plants in the Greenhouse. Thus, it is hoped that this application can provide solutions for farmers in monitoring plant conditions in real-time, increasing productivity, and improving the quality of grape crops in the area. In previous research, The app is technically less user-friendly, not suitable for the average users, especially farmers. Key components include an Android app, a data processing system, and sensors measuring values like air temperature, humidity, and soil moisture.. The data processing system receives data from sensors and sends it to the Android app via the internet network.. The Android app allows users to view Greenhouse environmental statistics. The research was carried out in stages, beginning with hardware and software ideation and ending with real-world testing of the application. According to the research, the system's implementation is functional, nodes can send data and be displayed on mobile applications, and tests were conducted using the black box testing method, which yielded a "successful" statement on eight tests performed on the Android mobile application.
Deteksi Anomali Data Sensor Kelembaban Tanah Menggunakan Kalman Filter dan Aturan 3-Sigma Erniajan, Yunita; Nirmala, Irma; Hidayati, Rahmi
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.426

Abstract

Monitoring kelembaban tanah berbasis Internet of Things (IoT) merupakan komponen penting dalam sistem pertanian presisi. Namun, sensor kelembaban tanah resistif seperti YL-69 kerap menghasilkan pembacaan yang tidak stabil akibat gangguan noise dan fluktuasi lingkungan, sehingga berpotensi menyebabkan kesalahan pada sistem pengambilan keputusan otomatis. Penelitian ini mengusulkan sistem deteksi anomali data sensor kelembaban tanah dengan mengintegrasikan algoritma Kalman Filter adaptif dan metode statistik aturan 3-sigma. Kalman Filter dengan nilai kovariansi noise proses (Q) yang bersifat dinamis diterapkan untuk mereduksi noise dan meningkatkan stabilitas pembacaan sensor, sementara deteksi anomali dilakukan berdasarkan rentang normal yang dihitung menggunakan standar deviasi kumulatif. Implementasi sistem menggunakan mikrokontroler NodeMCU ESP32 yang terhubung ke basis data MySQL dengan antarmuka berbasis website sebagai media visualisasi dan notifikasi. Pengujian dilakukan pada tiga kondisi kelembaban tanah, yaitu kering, lembab, dan basah, menggunakan total 101 sampel data yang di antaranya mencakup 23 injeksi data spike sebagai simulasi kegagalan sensor. Hasil pengujian menunjukkan bahwa Kalman Filter berhasil menurunkan koefisien variasi secara signifikan: dari 26,01% menjadi 6,00% pada kondisi kering, dari 36,31% menjadi 2,37% pada kondisi lembab, dan dari 57,82% menjadi 4,00% pada kondisi basah. Sistem juga berhasil mendeteksi seluruh data anomali yang diinjeksikan dengan akurasi 100%, disertai notifikasi pop-up secara real-time pada antarmuka website.
Co-Authors Ikhwan Ruslianto Kasliono Kasliono Nirmala, Irma Rahmi Hidayati