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All Journal Jurnal Mahasiswa TEUB IJES : Indonesian Journal of Environmental Sustainability.
Wibowo, Yehezkiel Reynard
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Education Energy Engineering

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SYSTEM MANAGEMENT OF FORAGE PRODUCTION BY SIMULATING MILD DROUGHT PRIMING Raharto, Razzaqi Hatmawira Rabbani; Wibowo, Yehezkiel Reynard; Febry, Purwasih Ajoe; Muchamad Muchlas
Indonesian Journal of Environmental Sustainability Vol. 1 No. 1 (2023): June 2023
Publisher : Center for Environmental Studies, Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ijes.v1i1.3983

Abstract

This study presents a case study analysis that examines the use of artificial intelligence and internet of to enhance forage production. The study based on case study of Ngajum’s Dairy Farm in Malang regency, which faceslimitations in forage production during the dry season. Through a qualitative and quantitative investigation, this research aims to provide insights into the multifaceted effects of how the application of Artificial Intelligence and the Internet of Things modulate genetic imprinting in forage production. Mild drought priming involves subjecting plantsto controlled, suboptimal water conditions for a short period. This technique triggers a series of physiological responses in plants, leading to increased stress tolerance and improved overall performance when exposed to subsequent drought stress. AI, with its data analysis capabilities, can process a vast amount of environmental data,including soil moisture levels, weather forecasts, and plant responses. IoT devices, equipped with sensors and actuators, provide the means to collect and transmit essential data from the field. The present results deduced that priming with mild drought using artificial intelligence and internet of things might effectively improve drought tolerance in forage, thus increasing the forage production to support dairy farmers in Indonesia.
SIMULASI STRATEGI CONSTANT TEMPERATURE-CONSTANT VOLTAGE CHARGING BERBASIS KONTROL FEEDBACK-FEEDFORWARD PADA BATERAI LITIUM-ION Wibowo, Yehezkiel Reynard; Djuriatno, Waru; Nurwati, Tri
Jurnal Mahasiswa TEUB Vol. 14 No. 5 (2026)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Pengisian cepat baterai litium-ion dengan arus tinggi memicu kenaikan suhu yang dapat mempercepat degradasi kapasitas dan meningkatkan risiko thermal runaway. Metode konvensional Constant Current–Constant Voltage (CC-CV) tidak menyediakan mekanisme pengendalian suhu secara aktif. Penelitian ini merancang dan mensimulasikan strategi pengisian Constant Temperature–Constant Voltage (CT-CV) berbasis kontrol feedbackfeedforward pada sel Molicel P28A menggunakan Plexim PLECS. Model elektrik dibangun menggunakan rangkaian ekivalen RC orde pertama, model termal menggunakan jaringan Cauer orde kedua, dan aktuator dimodelkan sebagai konverter buck DCDC averaged model. Arsitektur kontrol menggunakan struktur cascade tiga loop dengan parameter yang ditentukan melalui metode Internal Model Control (IMC) dan disempurnakan secara iteratif. Hasil simulasi menunjukkan sistem berhasil meregulasi suhu permukaan pada referensi 40°C dengan steady-state error dan overshoot suhu masing-masing 0,07°C, keduanya jauh di bawah batas yang ditetapkan. Arus pengisian tidak melampaui 6 A, dan total durasi pengisian dari SoC 0% hingga 100% adalah 2472 detik, praktis identik dengan CC-CV 2C yang membutuhkan 2500 detik karena muatan total yang dimasukkan sama. Keunggulan CT-CV terletak pada keamanan termal: suhu permukaan pada CC-CV 2C mencapai puncak 43,8°C dan melampaui batas operasi aman 40°C, sementara CT-CV mempertahankan suhu maksimum pada 40,07°C sepanjang proses pengisian. Kata Kunci—baterai litium-ion, constant temperature–constant voltage, kontrol feedbackfeedforward, konverter buck, Plexim PLECS. 
Co-Authors Febry, Purwasih Ajoe Muchamad Muchlas Raharto, Razzaqi Hatmawira Rabbani Tri Nurwati Waru Djuriatno