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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer CYCLOTRON J-Eltrik 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.
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.
Analisis Perbandingan Output Daya Listrik Panel Surya Sistem Tracking Dengan Solar Reflector: Analisis Perbandingan Output Daya Listrik Panel Surya Sistem Tracking Dengan Solar Reflector Dwi Cahyanto, Wahyu; Winarno, Istiyo; Dewantara, Belly Yan
J-Eltrik Vol 6 No 1 (2024): Juli
Publisher : Fakultas Teknik dan Ilmu Kelautan, Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/je.v6i1.143

Abstract

At this time, one type of alternative energy that is growing rapidly and is widely used by many countries is solar energy which is used as a power plant in the form of solar cells. This technology can convert the intensity of the sun into electrical energy. In its development, a control system is needed to optimize the output power of solar cells, such systems are using solar tracking which can control the position of solar cells so that they are always perpendicular to the direction of the sun automatically and a solar reflector that uses a flat mirror as optics to optimize light intensity. The system used for this arrangement is called a solar tracking and reflector system with Adaptive Neuro Fuzzy Inference System (ANFIS) control. The results obtained from the tracking system after testing the most optimal power obtained when the solar cell is perpendicular to the sun with ANFIS control which is 12,743 watts and the solar cell with reflector can optimize power twice as much..
Co-Authors Agung, Ach. Fathullah Pria Daeng Ramatullah Dewantara, Belly Yan Dwi Cahyanto, Wahyu Lisdawati, Ayu Novia Nawawi Nawawi PK, Iradiratu Diah Puspita Ayu, Yolanda Dewi Rahmatullah, Daeng Rusilawati Rusilawati Tri Rusti Maydrawati Yan Dewantara, Belly