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All Journal MEKTEK Foristek Techno.Com: Jurnal Teknologi Informasi Jurnal IPTEK ILKOM Jurnal Ilmiah INTEK: Jurnal Penelitian Bomba: Jurnal Pembangunan Daerah
Yusnaini Arifin
Fakultas Teknik, Jurusan Teknik Elektro, Universitas Tadulako
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Veterinary Other

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ANALISA PENGGUNAAN ENERGI ANGIN SEBAGAI PEMBANGKIT LISTRIK ALTERNATIF DI KOTA PALU B., Rosanti; Dewi, Sari; Arifin, Yusnaini; Amin, Nurhani; Mukhlis, Baso
Foristek Vol. 12 No. 2 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v13i2.145

Abstract

Currently, the energy we use is still using fossil energy. In the future, the need for energy will increase because every year there is a large population growth. If you still use fossil energy and don’t find new energy alternatives, then Indonesia will experience a severe energy crisis and certain places will experience blackouts. One of the efforts so that the wind energy crisis can be minimized is to utilize natural energy that has the potensial to generate energy such as the Wind Power Plant. In this study, planning and simulation of Wind Power Plant were carried out to help reduce the use of fossil energy and help the needs of the community in the Talise Beach area. From the results of the study that the average output of wind turbine production is 1,180/hour winh a maximum production of wind turbines per day of 5,665 kW and the construction system cost (NPC) of Rp. 91,340,660,000. Electrical energy that can be generated from wind turbines by utilizing an area of about 42,021.67 m2 is 10,332,498 kWh/year with a total unfulfilled power of 1,416 kW/year. Lack of power or unmet load can be overcome by the existence of a grid/network.
KENDALI TORKA PREDIKTIF DENGAN PREDIKSI DUA LANGKAH MOTOR INDUKSI YANG DICATU OLEH SEBUAH INVERTER TIGA FASE Adam, Ahmad Antares; Arifin, Yusnaini; Mukhlis, Baso; Kali, Agustinus; Mar'atussolihah, Ratih
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.255

Abstract

The predictive torque control (PTC) technique of electric motor drive is based on the principle that the determined optimum voltage vector will be applied to the motor in the next cycle. If a three-phase inverter is used, this inverter can only realize eight different switching states. One of the eight switching states is used as the optimum inverter switching state for the next cycle. PTC with one-step prediction cannot obtain an experimental motor speed control, because in the real-time implementation, there is a single sampling delay between input and optimal actuation due to a large number of real time calculations. The delay time problem could be solved by modifying the optimization steps by using the two-step prediction of PTC model. The experimental results show that the motor can follow the reference speed and command torque in the step response and variable speed experiments. In variable speed experiment, good speed and torque dynamics can be achieved by selecting the proportional gain value that corresponds to the motor speed
PEMODELAN SOLAR TRACKER DENGAN PENGENDALI PI, PD, DAN PID MENGGUNAKAN MATLAB-SIMULINK DENGAN BEBAN BATERAI Maharani, Putri; Adam, Ahmad Antares; Mukhlis, Baso; Arifin, Yusnaini; Amin, Nurhani; Mardiansyah, Mardiansyah
Foristek Vol. 14 No. 1 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.375

Abstract

A solar tracker is a photovoltaic (PV) system support tool aimed at optimizing solar energy absorption by directing solar cells to follow the movement of the sun.In this research, a solar tracker for PV with battery load model was created using MATLAB-Simulink with each controller, namely Proportional Integral (PI), Proportional Derivative (PD) and Proportional Integral Derivative (PID) and the simulation results were compared. The simulation results show that the PID controller is the controller with the most optimal results because all set point values ​​entered in the output remain the same and the overshoot value is also low, the PD controller is the controller that produces high errors and also overshot reaching 120 V, and the PI controller is the controller that the results are closest to a PID controller where the resulting overshoot value is only around 20%.
Sistem Monitoring Tanaman Stroberi Berdasarkan Parameter Suhu, Kelembaban Tanah dan pH Tanah Berbasis Internet of Things Sollu, Tan Suryani; -, Alamsyah; Mustari, Aidynal; Mukhlis, Baso; Arifin, Yusnaini; Rasyid, Zulfaizal H.A.
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.15037

Abstract

Perkembangan teknologi Internet of Things (IoT) telah memberikan peluang besar dalam peningkatan produktivitas pertanian melalui pemantauan kondisi lingkungan secara real time. Tanaman stroberi merupakan komoditas hortikultura yang membutuhkan perhatian khusus terhadap faktor lingkungan, terutama pada kondisi suhu lingkungan, kelembaban tanah, dan pH tanah. Ketiga parameter tersebut sangat berpengaruh terhadap pertumbuhan dan kualitas produksi buah stroberi. Penelitian ini mengembangkan sistem monitoring berbasis IoT yang dirancang untuk mengukur parameter suhu, kelembaban tanah, dan pH tanah pada lahan budidaya tanaman stroberi. Sistem ini memanfaatkan beberapa sensor diantaranya DS18B20 sebagai deteksi suhu lingkungan, YL-69 sebagai deteksi kelembaban tanah, dan sensor soil pH sebagai deteksi pH tanah yang diintegrasikan dengan modul Raspberry Pi sebagai pengolah78 data dari sensor dan mengirimkan data ke platform melalui aplikasi ThingSpeak secara real time. Untuk memperoleh hasil pengujian yang akurat dilakukan pengambilan data dengan membandingkan hasil pembacaan ke tiga sensor dengan alat ukur yang ada dijual dipasaran. Hasil pengujian menunjukkan bahwa sistem mampu bekerja dengan baik dalam memantau kondisi lingkungan tanaman stroberi dan memberikan informasi dengan rata-rata tingkat akurasi untuk kelembaban tanah sebesar 99,985%, pH tanah sebesar 99,907% dan suhu lingkungan sebesar 99,991%. Sistem ini memungkinkan petani dapat melakukan tindakan pengelolaan lahan yang lebih tepat dan sesuai kondisi yang terdeteksi.   Kata Kunci - internet of things, raspberry pi, sensor, stroberi, thingspeak.
SISTEM PINTAR KONTROL AIR CONDITIONER (AC) BERBASIS FUZZY LOGIC DAN PENGARUHNYA PADA KONSUMSI ENERGI LISTRIK Palallo, Tomas; Amin, Nurhani; Arifin, Yusnaini; Sholihah, Ratih mar'atus; Mahmudi, Irwan
Foristek Vol. 15 No. 2 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i2.840

Abstract

The manual use of Air Conditioners (AC) often leads to excessive electricity consumption, as temperature settings are not adjusted to actual environmental conditions. This study aims to design and implement an AC control system based on Mamdani fuzzy logic to automatically regulate room temperature according to thermal comfort standards, as well as to analyze its effect on electricity consumption. The system was developed using four DHT11 sensors connected to an ESP32 microcontroller as the main controller, while energy consumption was monitored using a PZEM-004T sensor and transmitted to the ThingSpeak platform. Experimental results show that the fuzzy logic-based control system was able to adaptively adjust the AC temperature with high accuracy. The application of the system resulted in an energy consumption of 5.01 kWh over three days, compared to 8.87 kWh under manual control. Thus, the system achieved energy savings of 3.86 kWh or 43.82%. These findings demonstrate that applying fuzzy logic to AC control is effective in improving energy efficiency and supporting electricity cost reduction.
Design-build of photovoltaic panel data logger pressure Masarrang, Maryantho; Dewi, Sari; Mustari, Aidynal; Arifin, Yusnaini; Fauzi, Rizana
ILKOM Jurnal Ilmiah Vol 13, No 2 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i2.692.86-91

Abstract

The scarcity of fossil fuel sources and the growing energy demand has resulted in more intensively searching for alternative energy. One alternative energy source that is suitable for the equatorial region is solar energy. One of the technologies for utilizing solar energy that has begun to be widely used in Indonesia is the photovoltaic (PV) system. The output of PV is highly dependent on environmental conditions, especially the intensity of the sun and temperature. In addition to these two factors, shading (shadows) and soiling (dust) also affects the PV output. So, this must be observed at all times by monitoring the voltage and current as the PV output. This study aims to design a PV panel instrumentation structure based on a data logger. PV output data in the form of voltage and current and environmental conditions such as ambient temperature and solar intensity were recorded in real-time. The measurement results from the data logger will be compared with manual measurements. PV output data, output voltage and current, as well as sunlight intensity were compared with measurements using an avometer. Temperature data will be compared with thermocouple measurements. PV in this study will be connected to a 1kOhm load resistor. The results of the data logger and manual measurements indicated an insignificant difference. The manual measurement was conducted every hour, from 09.00 16.00. The maximum differences for voltage, PV output current, pyranometer voltage, and ambient temperature are 0.89 V, 0.0007 A, 0.00014 V, and 0.25oC, respectively.
Co-Authors Agustinus Kali Ahmad Antares Adam Alamsyah - Ambo Asse Andi Chaerul Achsan, Andi Chaerul Ardi Amir B., Rosanti Baso Mukhlis Bunga, Melki Jumiyatun, Jumiyatun Maharani, Dhyvia Mahmudi, Irwan Mar'atussolihah, Ratih Mardiansyah Mardiansyah, Mardiansyah Maryantho Masarrang Mery Subito Muhammad Zuchry M Mustari, Aidynal Mustofa Mustofa Mustofa, Nurhani Amin Palallo, Tomas Putri Maharani Ramang Magga Rasyid, Zulfaizal H.A. Ratih Mar'atus Sholihah Rizana Fauzi, Rizana Rizkhi Rizkhi Rustan Hatib Samad, Mohammad Syafar Sari Dewi Sesengi, Mohammad Idham Tan Suryani Sollu Yuli Asmi Rahman Yulius Salu Pirade