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All Journal Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Majalah Ilmiah Teknologi Elektro
Achmad Nur Aliansyah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Sistem Monitoring Mesin Pemilah Barang Berbasis PLC Mitsubishi Menggunakan MS. Excel Nita Zelfia Dinianti Luzi Mulyawati; Achmad Nur Aliansyah; St Nawal Jaya; Wa Ode Siti Nur Alam
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 1 (2023): Jurnal Fokus Elektroda Vol 8 No 1 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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Abstract — The monitoring system is one way that can help an operator to observe the system. The monitoring process can be done through a small screen in form of HMI, Scada, DCS, or even through a website by using the internet. This study develops a monitoring system by utilizing Microsoft Excel to calculate the number of items that are sorted by a sorting machine. The main controller in this research was used PLC Mitsubishi FX1s. PLC was programmed by ladder diagram via GX Works 2. There are two inductive proximity sensors were used to detect the size of the sample. The result of the sensors is displayed in Microsoft Excel combined with MX Component and MX Sheet. The result of this research shows that the monitoring process runs well with an interval of 5 seconds of data transmission. The thing that needs to be considered in the monitoring process in Microsoft Excel is to ensure that the registered data and data types used must match. Sistem monitoring merupakan salah satu cara yang dapat mempermudah seorang operator untuk mengamati jalannya suatu system dalam bekerja. Proses monitoring dapat dilakukan melalui sebuah layar kecil berupa HMI, Scada, DCS atau bahkan melalui sebuah web yang terkoneksi dengan internet. Penelitian ini mengembangkan sistem monitoring dengan memanfaatkan software Microsoft Excel untuk menghitung jumlah barang yang dipilah melalui mesin pemilah barang yang dibuat. Kontroler utama yang digunakan dalam penelitian ini adalah PLC Mitsubishi FX1s. PLC diprogram melalui software GX Works 2 dengan menggunakan Bahasa pemrograman ladder diagram. Terdapat 2 buah sensor proximity tipe induktif yang digunakan untuk mendeteksi ukuran dari benda uji. Hasil monitoring sensor ditampilkan melalui Microsoft Excel yang dipadukan dengan software MX Component dan MX Sheet. Dari hasil pengujian yang dilakukan, proses monitoring berjalan dengan baik dengan interval waktu pengiriman data selama 5 detik. Hal yang perlu diperhatikan dalam proses monitoring pada Microsoft excel adalah memastikan data register dan tipe data yang digunakan harus sesuai.
Analisis Prakiraan Kebutuhan Energi Listrik di Kabupaten Kolaka Utara menggunakan Metode Dkl 3.2, Regresi Linear dan Software Leap Nur Rahmadani; Mustarum Musaruddin; Muh. Nadzirin Anshari Nur; Hasmina Tari Mokui; St. Nawal Jaya; Achmad Nur Aliansyah
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 2 (2023): Jurnal Fokus Elektroda Vol 8 No 2 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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This paper analyses the estimation of electrical energy demand in the North Kolaka Regency for the next few years and also analyses the accuracy of the forecasts from the methods used. The forecast methods used are the DKL 3.2, linear regression methods, and LEAP software with a BAU (Base as Usual) scenario. According to the results of the forecast of electrical energy demand for the upcoming five years using the DKL 3.2 method, there are 192548.29 customers, 31120935.67 kWh of electrical energy consumed, and 236523.48 kVA of connected power, respectively. Using the linear regression method, there are 197753 customers, 22733920.50 kWh, and 235493.40 kVA while using LEAP software, there are 219831.60 customers, 15351429.26 kWh and 274379.50 kVA. While the results of the analysis of the accuracy of the forecast method based on the MAPE and MSE value for the number of customers and the predicted power connected are the DKL 3.2 method, while for the consumption of electrical energy using the linear regression method.
ANALISIS PENGARUH PEMASANGAN FILTER HARMONISA PADA INVERTER 3 FASA SEBAGAI KONTROL MOTOR BRUSHLESS DC MENGGUNAKAN POWER SIMULATOR Faldin; Samuel Jie; St. Nawal Jaya; Mustarum Musaruddin; Hasmina Tari Mokui; Achmad Nur Aliansyah; Mansur
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 2 (2023): Jurnal Fokus Elektroda Vol 8 No 2 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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Abstract — Electric vehicles are vehicles that use electric motors as their power source. The most suitable type of DC motor for electric vehicles is the Brushless DC motor. BLDC motors require a 3-phase power source from an inverter to operate. A good inverter is one that has a THD value of less than 5%. To eliminate THD values in the inverter, an LC harmonic filter can be used. The purpose of this study is to analyze the effect of using an LC filter on the voltage, current, and Total Harmonic Distortion (THD) values in a 3-phase inverter. The method used is a literature review, creating a simulation circuit in PSIM software, and analyzing the simulation results under no-load and load conditions. The simulation results without an LC filter under a load of 1.47 Nm showed a voltage value of 100 V, current of 4.6 A, input power of 460 W, output power of 417.61 W, BLDC motor speed of 2697 rpm, motor efficiency of 90.2%, and THD voltage of 2.36% and THD current of 6.50%. After installing the L 34.84 mH and C 85µF filter in the circuit, the results showed a voltage value of 100 V, current of 4.3 A, input power of 430 W, output power of 409.72 W, BLDC motor speed of 2646 rpm, motor efficiency of 95.3%, and THD voltage of 1.51% and THD current of 3.99%. The conclusion of this study is that the use of an LC filter reduces THD values to below 5% or meets IEEE standards, allowing the inverter and BLDC motor to operate more optimally.
Analisis Tuning Parameter PID Menggunakan Algoritma Genetika pada Pengontrolan Kecepatan Motor DC Achmad Nur Aliansyah; Nurhayati nurhayati; st Nawal Jaya`; Luther Pagiling; Wa Ode Siti Nur Alam; Muhammad Nadzirin Anshari Nur
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P17

Abstract

Abstract— The DC motors often experiences rotational speed instability due to disturbance. To overcome this, PID control can be applied to stabilize the speed. PID control is a combination of proportional, integral, and derivative controls. To achieve good performance, it is necessary to tune these parameters using several methods, such as genetic algorithm. The genetic algorithm works by forming a population of individuals that potentially can produce optimal solutions judged by the fitness value. Several parameters are used in genetic algorithms such as population size, number of generations, crossover probability, and mutation probability. This study aims to analyze the genetic algorithm method for tuning PID control parameters in controlling the rotational speed of the DC motor. The results obtained genetic algorithm parameters with population size and the number of generations of 70, crossover probability of 0.9, mutation probability of 0.4 and a fitness value of 6.261e+18. PID parameters with value of Kp = 9.4429; Ki = 19.3255 and Kd = 0.45602 and system response with rise time value of 0.1212 s, settling time of 0.2562 s, overshoot of 0.0366% and steady-state error of 0.1739%. With these PID parameters, the DC motor can follow the setpoint at constant and changing load values.
Co-Authors Anshari Nur, Muh. Nadzirin Faldin Hasmina Tari Mokui Jaya, St. Nawal Mansur Mustarum Musaruddin Mustarum Musaruddin Nita Zelfia Dinianti Luzi Mulyawati Nur Rahmadani Nurhayati Nurhayati Pagiling, luther Samuel Jie St. Nawal Jaya Wa Ode Siti Nur Alam