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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer CYCLOTRON E-Link: Jurnal Teknik Elektro dan Informatika JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Winarno, Istiyo
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Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Automatic Tube Counter Monitoring System using Infrared Sensor based on NODEMCU ESP8266 Nawawi, Nawawi; Rusilawati, Rusilawati; Lisdawati, Ayu Novia; Winarno, Istiyo
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 7 No. 2 (2023)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v7i2.921

Abstract

Technology is needed in every industry because it can simplify the production process, improve production quality, and enhance the company's reputation in the sight of consumers. The cylinder counting activity at PT Batuah Energi Indonesia is still done manually, involving time and standardized estimation of LPG cylinder loads, which faces inaccuracy issues. In fact, PT Batuah Energi Indonesia has facilities that handle many LPG cylinders from various users and providers of LPG cylinders. While accurate cylinder counts are beneficial to the industry, companies need technology that can automatically calculate the number of filled LPG cylinders. Therefore, this study was carried out to demonstrate to students how to develop automatic tube counters using an infrared E18-D80NK as a tube detector, NodeMCU microcontrollers ESP8266 as controllers, Arduino IDE for developing programs, and IoT for remote monitoring. The developed device approach, specifically using the E18-D80NK infrared proximity sensor based on the NodeMCU ESP8266, can be coded using the Arduino IDE compiler. For the detection of the number of tubes, the E18-EN80K infrared sensor is used and data transmission wirelessly utilizes the Blynk application. The results of the automatic tube counter monitoring tool were successfully tested with a 100% accuracy rate, utilizing the E18-D80NK infrared sensor and NodeMCU microcontroller ESP8266, and can be monitored remotely using Blynk.
ELIMINASI HARMONISA PADA INDUCTION FURNACE MENGGUNAKAN FILTER HYBRID Setiawan, Hadi; Dewantara, Belly Yan; Winarno, Istiyo
E-Link: Jurnal Teknik Elektro dan Informatika Vol 19 No 1: Mei 2024
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v19i1.7219

Abstract

Induction Furnace is equipment that is widely used in the metal or steel industry, this equipment is usually used to process metallic or non-metallic minerals in the reduction or smelting process. Induction furnaces have a frequency value in an induction furnace that can reach 2000Hz, and the DC voltage can be adjusted to reach 800VDC. By using a filter you can reduce harmonics as small as possible until the waveform is closer to sinusoidal. Research to analyze the steps for installing a hybrid filter to reduce harmonic distortion. The analysis results from the hybrid filter simulation can reduce the total harmonic distortion value with the THD value according to IEEE 152-1992.
Eliminasi ELIMINASI HARMONISA PADA DOUBLY-FED INDUCTION GENERATOR MENGGUNAKAN FILTER PASIF Farhan, Muhammad; Winarno, Istiyo
E-Link: Jurnal Teknik Elektro dan Informatika Vol 17 No 1: Mei 2022
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v17i1.2947

Abstract

Saat ini berbagai cara untuk memanfaatkan sumber energi terbarukan seperti angin, matahari, pasangsurut, hidro, dan lain-lain untuk menggantikan energi fosil menjadi perhatian khusus. Energi anginmerupakan yang paling umum digunakan. Karena Doubly-Fed Induction Generator (DFIG) mengubahtegangan dari AC ke DC lalu diubah kembali ke AC dengan menggunakan Rotor Side Converter(RSC) dan Grid Side Converter (GSC) yang mana saat kecepatan berubah secara signifikan akanmenyebabkan masalah seperti jatuh tegangan, timbulnya distorsi harmonik, tegangan tidak stabil, danlain-lain. Dengan menggunakan filter pasif dapat mengurangi harmonisa sekecil mungkin hinggabentuk gelombangnya semakin mendekati sinusoidal. Pada penelitian ini untuk mengurangi harmonisayang timbul pada sistem DFIG menggunakan filter pasif jenis passive single tuned (LC). Menunjukankondisi lebih baik setelah menggunakan filter pasif tipe single tuned. Analisa besar total harmonic distortion (THD) dilakukan dengan 5 skema penggunaan kecepatan angin yang berbeda-beda denganrata-rata THD pada 5 kecepatan angin yang meningkat saat sebelum menggunakan filter pasif tipesingle tuned 15.35% THDi, dan sesudah menggunakan filter pasif tipe single tuned 1.40% THDi.Besar rata-rata total eliminasi menghasilkan 11.63%.
Koordinasi Adaptif DOCR Pada Sistem Transmisi Loop Multi Generator Menggunakan Modified Firefly Algorithm-Artificial Neural Network Puspita Ayu, Yolanda Dewi; Rahmatullah, Daeng; Winarno, Istiyo
Jurnal Ilmiah Telsinas Vol 4 No 1 (2021)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1068.694 KB) | DOI: 10.38043/telsinas.v4i1.2093

Abstract

Protection system is a very important component in the electric power distribution system. With good reliability, the distribution of electrical power will be better, one of which is by minimizing disruption to the system quickly, precisely and accurately. Components used in protection systems are directional overcurrent relays (DOCR). In this study proposed optimal and adaptive protection coordination using the Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) tested on the IEEE 9 real bus loop system with 4 generation combinations. Optimization using MFA will get the Time Delay Setting (TDS) and Ipickup (lowset) values. The ANN used is Backpropagation Lavenberg Marquardt (BPLM) After the BPLM learning process, we will get the weight and bias values of the training results and later as a reference value to get the value of TDS and Ipickup relay. The process will produce relay settings automatically based on the results of optimization and MFA-ANN training which are then simulated on the IEEE 9 bus loop system. The results achieved by MFA-ANN are suitable methods for modeling optimal and adaptive relay coordination systems. ANN training with the BPLM algorithm produces the smallest MSE value of 5.9308xE-10.
Pengembangan Cloud SCADA 1.3 sebagai otomasi industri jarak jauh PK, iradiratu diah; Winarno, Istiyo; Yan Dewantara, Belly; Tri Rusti Maydrawati; Daeng Ramatullah
CYCLOTRON Vol 7 No 01 (2024): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/cl.v7i01.20522

Abstract

Kegiatan produksi industry sangat tergantung oleh kemajuan teknologi dan otomasinya. Kemajuan otomasi industri sangat mempengaruhi kualitas dan kuantitas hasil produksi. SCADA Automation system merupakan teknologi yang digunakan untuk otomasi industry. Pengoperasian SCADA memerlukan tenaga ahli yang menguasai dasar, desain, dan pengaturan semua unit yang akan dikontrol. Untuk mencetak tenaga ahli yang berkompenten diperlukan alat pembelajaran yang tepat untuk mewadahi sarana pendidikan di universitas dan sekolah kejuruan. Minimnya produksi alat praktikum SCADA dalam negeri menjadi kendala besar untuk menvisualisasi kurikulum. Tuntutan perubahan kurikulum disesuaikan dengan kebutuhan dan kemajuan teknologi masa kini. Jika mengandalkan alat pratikum buatan luar negeri maka diperlukan waktu dan biaya yang tidak sedikit. Pembelajaran alat praktikum yang didatangkan dari luar negeri kadangkala tidak selaras dengan kurikulum di indonesia. Untuk menunjang SDM yang sesuai dengan tuntutan industry maka kurikulum pembelajaran harus disesuaikan dengan kebutuhan industry. Berdasar latar belakang tersebut maka penelitian ini mengembangkan alat praktikum SCADA sebagai otomasi industry dengan kurikulum yang sesuai dengan pembelajaran di Indonesia. Pengembangan Cloud SCADA 1.3 dikembangkan dengan mengaplikasikan revolusi teknologi 4.0 sebagai teknologi monitoring dan kendali jarak jauh. Hasil produk memberikan inovasi training kits produk dalam negeri yang sesuai dengan kurikulum dan tuntutan industry sebagai penunjang pembalajaran. Kata kunci: Training kits, SCADA, Otomasi industri, IoT
Analysis of The Impact of Temperature and Discharge Current on The Efficiency of LiFePO4 Batteries in Solar Charging Stations Winarno, Istiyo; Agung, Ach. Fathullah Pria; Dewantara, Belly Yan
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 8 No. 2 (2024): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v8i2.1700

Abstract

The demand for electrical energy is increasing, along with technological advancements and population growth. Many countries still rely on petroleum, coal, and aerosol gasoline, exacerbating global warming. Electric vehicles offer a promising solution to reduce greenhouse gas emissions and dependence on fossil fuels, although their primary challenge is the availability of charging infrastructure. Solar-powered electric motor charging stations can help reduce electricity demand and global warming. An efficient charging system is needed to analyse the impact of temperature and discharge current on the energy produced to achieve this. Several load tests and temperature measurements over 5 days were conducted to cluster temperatures occurring throughout a full day. The tests using data acquisition showed energy losses caused by the effect of temperature on the charging station's storage battery. Energy efficiency graphs for each test case indicated a varied decrease in energy efficiency, with higher efficiency at lower temperatures and smaller energy losses compared to other temperatures. The load amount also affects the magnitude of energy losses. At a 500W load, the average energy loss was 46Wh, while at a 1000W load, the average energy loss was 52Wh per hour of testing the storage battery discharge. In summary, temperature and load amount can affect energy efficiency and the resulting losses.
Co-Authors Agung, Ach. Fathullah Pria Daeng Ramatullah Dewantara, Belly Yan Hadi Setiawan Lisdawati, Ayu Novia Muhammad Farhan Nawawi Nawawi PK, Iradiratu Diah Puspita Ayu, Yolanda Dewi Rahmatullah, Daeng Rusilawati Rusilawati Tri Rusti Maydrawati Yan Dewantara, Belly