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All Journal International Journal of Applied Power Engineering (IJAPE) TEKNIK INFORMATIKA TEKNIK Bulletin of Electrical Engineering and Informatics Jurnal technoscientia JURNAL NASIONAL TEKNIK ELEKTRO PROtek : Jurnal Ilmiah Teknik Elektro Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) JURNAL TEKNOLOGI TECHNOSCIENTIA Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Profesi Insinyur Indonesia Jurnal Solusi Masyarakat Dikara Ulil Albab
Sapto Nisworo
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Perencanaan Sistem Fire Alarm Semi-Addressable dan Sprinkler pada Bangunan Gedung Fakultas Teknik 3 Universitas Tidar Vincent Cleo D.A. P; Bagus Fatkhurrozi; Sapto Nisworo
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 2: Januari 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i2.2869

Abstract

The impact of fire, from property damage to life threats, is devastating. The fire department is generally notified immediately, but delays often occur due to distance. Engineering Faculty Building 3 is not yet equipped with an automatic extinguishing system. An automatic warning and shutdown system is required. Planning completes the FT3 fire protection system, analyzing building characteristics and identifying potential hazards. Analysis according to NFPA standards ensures reliability and safety. The results show FT3 has a Low Fire Hazard Potential, with the danger concentrated in areas of combustible materials that produce little heat, and the fire spreads slowly. System calculation: 67 smoke detectors, 222 sprinklers, water volume 416.35 m3, water tank 500 m3. Pump power includes HHP 35.2 kW, BHP 46.9 kW, P 60 kW, and PpD 27 HP. The budget for developing an automated system at FT3 is around IDR 1,232,640,194.
Study of Wind Power Plant for Alternative Energy in Vannamei Litopeneaus Shrimp Cultivation Nisworo, Sapto; Pravitasari, Deria; Kusworo, Zulfikar Aji; Ashari, Ashari; Khan, Naseer A
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 2 No. 2 (2022): September 2022
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v2i2.8565

Abstract

The focus of this research is to utilize wind energy for power generation as an electric power service for shrimp farming in the Kulon Progo district of Yogyakarta. This is done in order to minimize the use of diesel fuel in daily operations to drive the aerator pump that produces air bubbles and needs lighting. The method used is to calculate the need for electrical power in 24 hours, plan the windmill according to the local average wind speed. Parameters for measuring the final result are net present cost (NPC), cost of energy (CoE), and payback period. The scenario is used by installing a wind power generator compared to a generator from a diesel engine. The results of the study with a wind power generation system capable of producing 41755,07kW/year of power with the NPC value having a more efficient economic value of Rp. 158,254,000.00, a more efficient CoE value of Rp. 477.41, and for a diesel power plant of Rp. 1,569,015,240.00 and CoE worth Rp5,867,45. The payback period for the scenario with wind power is 3 years and 9 months and and 15 years 7 months for the scenario with diesel power plants.
Optimization of Thermal Power Plant Operations Using Genetic Algorithms Sapto Nisworo; Hasibuan, Arnawan; Syafii, Syafii
JURNAL NASIONAL TEKNIK ELEKTRO Vol 12, No 3: November 2023
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v12n2.1090.2023

Abstract

Accurate scheduling of capacity and operating time for electricity generation is intended to be able to determine the start and end periods of electricity generation operations and produce power output that can meet load requirements. In this research, the goal to be achieved is to know the existence of power plants when to start operating and when to stop operations and to minimize operational costs by dividing the value of the power that will be generated at each power plant. Genetic algorithms are applied to thermal power plant data patterns to design a scheduling plan. The process involves combining the six power generating units to be tested into three different samples. It was found that the total power load and total cost for Sample 1 was 78,109 MW and IDR 200,285, 66.26, Sample 2 was 74,497 MW and IDR 149,774,156.41, and Sample 3 was 78,681 MW and IDR 156,297,893, respectively. 08. This shows that the cost of sample 1 compared to sample 2 decreased by 25.22%, then in sample 2 when compared to sample 3 it increased by 4.17%. The data also shows that a higher number of generations results in lower costs. Therefore, genetic algorithms produce better solutions from one generation to the next.
Sistem Penerangan Jemabatan Kali Progo Berbasis Energi Baru Terbarukan Pembangkit Listrik Tenaga Surya di Kabupaten Magelang Nisworo, Sapto; Pravitasari, Deria; Nurhadi, N; Azhar, A
Jurnal Solusi Masyarakat Dikara Vol 2, No 2 (2022): Agustus 2022
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Jembatan kali progo wilayah kabupaten Magelang adalah jembatan yang menghubungkan desa Sidorejo wilayah kabupaten Magelang dengan desa Tuguran wilayah kota Magelang. Jembatan tersebut menjadi penting untuk difasilitasi, di desa tersebut akan dibangun perluasan kampus Untidar. Jarak tempuh kampus utama ke kampus yang akan dibangun dipandang paling dekat. Bila menggunakan jalan lain harus memutar dengan jarak tempuh mencapai kurang lebih 10 km. pertimbangan lain, masyarakat desa sidorejo dan sekitarnya melakukan banyak yang melakukan aktifitas di kota Magelang sebagai tenaga kerja, sehingga banyak yang memanfaatkan jembatan hingga malam dan juga dipagi buta. Metode yang ditempuh adalah melakukan pendataan dan perancanaan secara enjiniring dan diajukan menjadi pengabdian pada masyarakat dengan sekema pendanaan LPPM Universitas Tidar Kerjasama dengan beberapa dosen dari Universitas Malikussaleh. Hasil yang diperoleh dapat terlaksananya kegiatan sesuai dengan rencana dan dapat digunkan untuk semua pihak yang membutuhkan. Hasil lain yang diperoleh adalah pembelajaran pemasangan PLTS antara tim pengabdian, mahasiswa dan masyarakat.
Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation Nisworo, Sapto; Pravitasari, Deria; Ayub Wahab, Iis Hamsir
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 2 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i2.6040

Abstract

The focus of this research is optimizing a wind power plant using a Permanent Magnet Synchronous Generator (PMSG). The backpropagation method of the artificial neural network system was chosen to optimize the output power of the wind power generator. Based on the simulation results, the backpropagation algorithm of the artificial neural network obtains the output power based on the input variable in the form of changing wind speed. The results show that the best value is learning rate = 0.5, error = 0.0001, max. epoch= 100000, neuron hidden layer = 5. The Mean Square Error (MSE) value obtained is 0.1026 reaching the goal at epoch 14845. The reverse training regretion reaches 0.99917. The optimization results are close to the specified error, which is 0.0001, while what is obtained is 0.0145. The power generated by the wind speed is 10.7 m/s before being optimized using the back propagation neural network method worth 321 watts, while the optimized power results are 409 watts. The difference in the average target power obtained is 88 watts compared to the power of the Artificial Neural Network (ANN). 
A Comparative Study of Students Graduation Analysis Using Classification Methods in Undergraduate Electrical Engineering Tidar University Wicaksono, Damar; Nisworo, Sapto; Nata, Imam Adi
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.32132

Abstract

This research aimed to classify achievement factors for electrical engineering students at Tidar University using K-Means and Agglomerative Clustering classification algorithms. The goal was to understand if any parameters influence high-achieving student performance. The Indonesian government and private sector for university students provide significant education funds. Student scholarships are awarded based primarily on GPA and entry path, overburdening staff and causing confusion during distribution to eligible recipients. A system was needed to accommodate additional eligible criteria. The researcher selected factors to identify engineering student performance, including school origin, entry path, tuition fees, and GPA. These inputs could determine graduation status. The results compared calculation methods based on collected data accuracy, processing times, and characterizing clustered data to determine the best classification method. Agglomerative Hierarchical Clustering performed better. Accuracy testing on 600 training data points yielded 73.94% for improved K-means and 90.42% for AHC. The Average processing time was 674.92 seconds for improved K-means and 554.35 seconds for AHC. Silhouette testing also characterized calculation methods, with improved K-means scoring best at 0.654 and AHC at 0.787 using two clusters.
Perencanaan Fire Alarm dan Pemadam Kebakaran pada Gedung Dekanat 7 Lantai Universitas Tidar Mertoyudan Kurmia, Shely; Nisworo, Sapto; Pravitasari, Deria; Trihasto, Agung
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 6, No 2 (2024): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v6i2.2141

Abstract

Perencanaan fire alarm dan pemadam kebakaran pada Gedung Dekanat 7 lantai Universitas Tidar Mertoyudan dilakukan karena terdapat risiko kebakaran yang upaya penanggulangannya sulit dilakukan. Dalam menyelesaikan perencanaan ini memerlukan beberapa tahapan yang mencakup studi literatur, pengumpulan data dan pengolahan data. Berdasarkan hasil perhitungan yang telah dilakukan dapat disimpulkan bahwa sesuai SNI 03-3985-2000 membutuhkan detektor asap 82 unit, sesuai SNI 03-3989-2000 membutuhkan sprinkler 129 unit, volume air yang dibutuhkan 232 m3, Ground Water Tank (GWT) berkapasitas 300 m3, daya pompa yang dibutuhkan yaitu daya pompa elektrik 36 kW, pompa jockey 3,6 kW, dan pompa diesel 140 HP. Perhitungan perencanaan fire alarm dan pemadam kebakaran ini telah sesuai dengan peraturan dan standar diharapkan dapat meningkatkan keselamatan penghuni serta melindungi aset-aset berharga.
Co-Authors A Azhar, A Agung Trihasto Alifia Revan Prananda Aris Triwiyatno Arnawan Hasibuan Ashari Ashari B. Y. Syah, Rahmad Bagus Fatkhurrozi Damar Wicaksono Deria Pravitasari Dwi Novianto Endang Setyowati Habib Satria I Made Ari Nrartha Imam Adi Nata Isa, Muzamir Kartojo, Ismail Hartanto Khan, Naseer A Kurmia, Shely Kusworo, Zulfikar Aji Mardandi, Brian Taufik Misbahul Jannah Muhammad, Muhammad Nurhadi Pravitasari, Deria R Rizal Isnanto Salile, Ahmad Yusuf Sumardi . Syafii . Vincent Cleo D.A. P Wahab, Iis Hamsir Ayub Wahyu Endah Palupi Windarta, Jaka