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All Journal MEKTEK Foristek Techno.Com: Jurnal Teknologi Informasi MEKTRIK
Baso Mukhlis
Universitas Tadulako
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mathematics

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OTOMATISASI SISTEM IRIGASI PERKEBUNAN MENGGUNAKAN METODE TETES DENGAN PHOTOVOLTAIC SEBAGAI SUMBER ENERGI Mukhlis, Baso; Amin, Nurhani; Fatmawati, Andi; Masarrang, Maryanto
Foristek Vol. 14 No. 2 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.585

Abstract

Red chili is one type of vegetable that is quite important in Indonesia, both as a commodity consumed domestically and as an export commodity. Red chili production in Indonesia is still relatively low. The choice of chili plants in this research is based on the high market demand for chili commodities, however, to meet the demand which continues to increase every year, it is necessary to increase chili production through intensification or extensification. Weather factors have a big influence on the development of chili plants. During the long dry season, chili plants cannot grow well, this is due to the lack of water available for the plant's needs, which increases pest attacks. Another factor is excess soil moisture which can trigger chili plants to rot and die. To make it easier to cultivate chili plants, innovation needs to be carried out to help chili cultivators manage their chili plant cultivation, therefore by using the Plantation Irrigation System Automation tool using the Drip Method with Photovoltaic as an Energy Source it is hoped that this can be an innovation in managing the cultivation of chili plants, especially in controlling soil moisture in chili plants.
CLUSTERING DAERAH TERDAMPAK SAMPAH DI INDONESIA MENGGUNAKAN ALGORITMA DBSCAN. Santi, Dessy; Maharani, Wulan; Syahrullah, Syahrullah; Nugraha, Deny Wiria; Mukhlis, Baso; Kali, Agustinus
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.751

Abstract

The waste problem in Indonesia is a complex and evolving environmental issue, particularly in areas with high population density and economic activity. This study aims to cluster regions affected by waste issues using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. DBSCAN was chosen for its ability to identify spatial patterns and detect outliers without requiring a predefined number of clusters. The data used includes spatial and non-spatial information related to waste volume and regional characteristics across various provinces in Indonesia. The results show that DBSCAN effectively groups waste-affected areas into several clusters based on data density and spatial proximity. These clusters can serve as a foundation for determining policy priorities for regional and national waste management. This research is expected to contribute to the development of more targeted and data-driven waste management strategies.
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.
ANALISIS STARTING MOTOR INDUKSI PADA BALL MILL PLANT DENGAN LIQUID RESISTANCE STARTER DI PT CITRA PALU MINERALS Alfito, Muhammad Bintang; Adam, Ahmad Antares; Martdiansyah, Martdiansyah; Mukhlis, Baso; Pirade, Yulius Salu; Masarrang, Maryantho
Foristek Vol. 15 No. 2 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i2.839

Abstract

The 3700 kW induction motor at the Ball Mill Plant at PT Citra Palu Minerals requires an effective starting method to prevent current surges and voltage drops during initial operation. This study aims to analyze the starting performance of induction motors using three starting methods, namely Liquid Resistance Starter (LRS), Direct On Line (DOL), and Wye-Delta. The analysis is carried out by mathematical calculations through the induction motor equivalent circuit to obtain the starting current, starting torque, starting power and starting voltage values of each starting method. The calculation results show that the LRS method produces a starting current of 421.47 A, a starting torque of 42,259.84 Nm, a starting power of 4,423.19 kW and a starting voltage of 6,374.40 V. Compared to DOL and Wye Delta, the LRS method provides better performance in terms of limiting current and maintaining voltage stability, and is able to produce higher torque and power. The calculation of the LRS method also shows conformity with the actual data in the field, so that the model used can be used as a technical reference. Based on the analysis results, the LRS method is considered the most suitable for starting high power induction motors in heavy-load applications such as Ball Mill Plant.
Co-Authors Agustinus Kali Ahmad Antares Adam Alamsyah - Alfito, Muhammad Bintang Andi Fatmawati B., Rosanti Dendi Kongah, Dendi Deny Wiria Nugraha Dessy Santi E, Darmawan Kalatiku, Protus P Maharani, Wulan Mar'atussolihah, Ratih Mardiansyah Mardiansyah, Mardiansyah Martdiansyah, Martdiansyah Maryantho Masarrang Masarrang, Maryanto Mirwan Mukmin, Mirwan Muh. Sarjan, Muh. muhammad rizky, muhammad Mustari, Aidynal Nurhani Amin Putri Maharani Rasyid, Zulfaizal H.A. Sari Dewi Siregar, Restu Ary Winata Syahrullah Syahrullah Tan Suryani Sollu Yuli Asmi Rahman Yulius Salu Pirade Yusnaini Arifin