Raden Sumiharto
Departemen Ilmu Komputer Dan Elektronika, FMIPA UGM, Yogyakarta

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Journal : Indonesian Journal of Electronics and Instrumentation Systems

Implementasi Kontrol Nutrisi Dan pH Pada Hidroponik Cerdas Berbasis Arduino Dan JST Muhammad Naufal Zul Hazmi; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 13, No 2 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.86268

Abstract

This research aims to implement an automated nutrition and pH control system in NFT hydroponic system based on ANN control. NFT hydroponics involves growing plants without soil as a medium. In hydroponics, it is essential to continuously control the nutrient levels and pH of the solution. However, manual control performed by humans continuously is inefficient and time-consuming.The ANN method is used to model and predict the output actuators based on sensor input in the NFT hydroponic system. This ANN architecture consists of several layers with the following number of neurons: input layer 2, first hidden layer 128, second hidden layer 64, and output layer 3, representing multipleoutputs. The ANN training process involves classifying the data samples using various hyperparameters.The research findings demonstrate the ANN classification model successfully applied to control pH and nutrient levels through the predicted output actuators. The pump actuators are activated according to input received from the TDS and pH sensors. Through the variation of hyperparameters, the classification model with a test_size: 0.3, epoch: 400, batch_size: 32, and random_state: 42 provided the best performance in prediction. This ANN classification model achieved the best results in model testing with an accuracy rate:  97.96% from 49 data.
Analisis Implementasi OV2640 dan MFRC522 Sebagai Bagian dari Sistem Belanja Self-Service Avif, Fahreza Haidar; Sumiharto, Raden; Putri, Diyah Utami Kusumaning
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 14, No 2 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.96492

Abstract

Peningkatan angka konsumsi dan perubahan preferensi masyarakat pasca pandemi COVID-19 mengakibatkan minat terhadap layanan mandiri (self-service) kian meningkat. Hal ini mendorong sektor retail untuk beradaptasi dalam mengembangkan sistem belanja self-service. Penelitian yang ada sebelumnya telah melakukan eksplorasi mengenai potensi penggantian identifikasi barang berbasis barcode dengan alternatif identifikasi lain seperti Quick Response Code (QR-Code) atau Radio Frequency Identification (RFID). Oleh karena itu penelitian ini membahas mengenai pengaruh identifikasi QR-Code dan RFID dalam kecepatan transaksi pada sistem belanja self-service. Penelitian ini menggunakan OV2640 untuk identifikasi QR-Code dan MFRC522 untuk identifikasi RFID. Hasil penelitian yang dilakukan menunjukkan identifikasi RFID memiliki kecepatan respon 3-4 kali lebih cepat dibandingkan identifikasi QR-Code sehingga mampu menyelesaikan transaksi 63% lebih cepat dibandingkan identifikasi QR-Code.