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All Journal International Journal of Advances in Intelligent Informatics Journal of Electrical Technology UMY International Journal of Artificial Intelligence Research Collaborative Medical Journal (CMJ) Diklat Review : Jurnal manajemen pendidikan dan pelatihan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Masyarakat Multidisiplin
Jusman, Yessi
Universitas Muhammadiyah Yogyakarta
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Loss Analysis of Propulsion System on an Electric Railway Jamal, Agus; Chamim, Anna Nur Nazilah; Putra, Karisma Trinanda; Lestari, Sri Indah; Jusman, Yessi
Journal of Electrical Technology UMY Vol 2, No 2 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2235

Abstract

Electric Railway (KRL) is a train that is based on eletrification system. The electrification system in the KRL supplies electrical energy to the train locomotive and several other carriage units, so the train can run. Electrical energy can be either AC or DC source. There are two electrical systems to support the performance of KRL, propulsion system and auxiliary system. The propulsion system is a driving system and than the auxiliary system is the system that handles the electrical load on KRL. In this research, discuss about the loss of propulsion system on KRL LAA Electric DC, AC Traction Motor. The propulsion system consists of several components, such as pantograph, circuit breaker, capacitor filter, IGBT VVVF inverters and AC traction motors. The component has different losses and different efficiencies. There are five test conditions for AC traction voltage inputs of 160.5V, 321V, 493.9V, 635V and 645V. By calculating using equations, from the five test conditions it can be seen that the propulsion system has the lowest power loss with the highest efficiency at the input voltage of AC 635V traction motors, which obtained the power loss of inverter VVVF IGBT 41.996kW with the efficiency 90.67% and the power loss of AC traction motor 18.219kW with the efficiency 91.45%.
Analysis of the Utilization of Putri Cempo Landfill Waste for Power Plants and Their Effects on the Surakarta Electric Power Distribution Network Suripto, Slamet; Hasibi, Rahmat Adiprasetya Al; Wiyagi, Rama Okta; Sanupal, Sanupal; Jusman, Yessi; Aribowo, Didik
Journal of Electrical Technology UMY Vol 3, No 4 (2019): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3463

Abstract

Growth in electric energy demand, domination of use of fossil fuels, and waste problems are fundamental to this research. The purpose of this research is to find out the electrical energy potential of the Putri Cempo Landfill waste, Surakarta. The potential of electrical energy is designed for waste power plant (WPP). Penetration of WPP as a Distributed Generation (DG) to the 20 kV electrical distribution network is analyzed to determine its effect on the growth of demand for electricity, power flow, and the index of the (SAIFI and SAIDI). This research applies the technology Sanitary Landfill to produce landfill gas (LFG) as the primary energy of WPP. In calculating the growth predictions of electricity usage in the industrial, household, public, and commercial sectors from 2017 to 2025 in APJ Surakarta, the DKL Method 3.01 is applied. ETAP 12.6 was applied to analyze the power flow in the form of power losses and voltage losses and the Section method to calculate the reliability index (SAIFI, SAIDI) before and after penetration of WPP in PLR 01 and GDO 04 of Manahan Substation, Surakarta. The results showed that Trash from 5 Regencies and Cities, WPP was able to generate a maximum power of 10.1 MW. During peak load, WPP is able to reduce electricity demand of Substation for 0.920% in 2019, 0.879% in 2020, 0.838% in 2021, 0.799% in 2022, 0.760% in 2023, 0.723% in 2024, and 0.686% in 2025. The drop voltage at the tip of the feeder (No Substation Transformer BSP01005) has improved 29.4%, power losses have improved 25%, SAIFI has improved 61.36%, and SAIDI has improved 29%, after WPP penetration.
Electrical System Design and Installation of New Building, Aisyiyah University, Yogyakarta Suripto, Slamet; Jamal, Agus; Purwanto, Kunnu; Wicaksono, Wahyu Nugroho; Jusman, Yessi
Journal of Electrical Technology UMY Vol 2, No 3 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2337

Abstract

Aisyiyah University New Yogyakarta Building is one of the commercial buildings that moves the field of education in Yogyakarta. The New Building of Aisyiyah University Yogyakarta consists of 10 floors, including the basement floor, main floor and roof floor. Electric loads installed at the New Building of Aisyiyah University Yogyakarta include lighting loads (lights) and power loads (sockets) and the power loads of electric motors (air conditioners, elevators and others), which of course requires a large enough electricity supply. Electricity installed in the New Building of Aisyiyah University in Yogyakarta is 1010.9 kVA. The power supplied is 800 kVA from State Electricity Company and the total power capacity of the transformer is 1000 kVA and a generator set with a capacity of 1000 kVA. Where the backup power supply system is fully supplied by the generator set.
Comparative Analysis of the Use of LED and HPS Lights in PT. Bukit Asam Hasibi, Rahmat Adiprasetya Al; Jamal, Agus; Surahmat, Indar; Hardiyanto, Tio; Jusman, Yessi; Arkan, Fardhan
Journal of Electrical Technology UMY Vol 3, No 3 (2019): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3358

Abstract

The lamp is the main construction facility in the company that serves as a support for the activities of the economic system and mobility in the company. An analysis of the difference between the use of LED lights with HPS lamps at PT. Bukit Asam Tbk. reference is used to recommend the use of appropriate (technical) lighting equipment for industrial areas and to obtain better cumulative costs and energy savings for the company in the future. In this study using the lamp replacement method with the same lumen level comparison. The goal is that later the level of lighting produced is the same for each lamp. From the results of this study it was found that the technical use of 70W, 150W, 250W and 400W HPS lamps has an efficacy level of 84 to 123 lm / W. Whereas the 80W, 200W, 300W, 450W LED lamps are 90 lm / W and the results of the cumulative value or the total cost of operating and maintenance costs for 15 years between HPS lamps versus the LED lights that occur is that in HPS lamps the total cost incurred amounting to 20,604,230,235 rupiahs while for LED lamps it is 27,787,386,324 rupiahs which can be seen that the use of more economical lighting is HPS lamps.
Analysis and Optimization of 4G LTE Network in Jombang City East Java Widyasmoro, Widyasmoro; Chamim, Anna Nur Nazilah; Wiyagi, Rama Okta; Izmi, Rizkinanda Muhammad; Jusman, Yessi
Journal of Electrical Technology UMY Vol 3, No 1 (2019): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3148

Abstract

The development of communication technology in Indonesia is currently growing, one of which is cellular telecommunications technology. Cellular communication technology developed from the first generation to the present time has entered the 4th generation known as 4G LTE. The writing of this final project discusses the analysis and optimization of the 4G LTE network of Telkomsel seluer operators in Jombang, East Java. Measurements were made using the drive test method to test the 4G LTE network in the inner area of Jombang district. This testing is done to check the network in the inner area whether it is optimal in providing network to customers. This drive test uses a nemo handy device and to analyze drive test results using a nemo analyzer. The results measured when doing a drive test are RSRP, SNR, and throughput parameters. The results of the RSRP parameter get 95% of the total sample RSRP values -100 dBm to 0 dBm. The SNR parameter gets 94% of the total sample which has a value of 0 dB to 25 dB. The throughput parameter gets 95% of the total sample value above 1Mbps. After a drive test and analysis there are 4 areas that need to be optimized because in terms of quality or SNR and the data speed or throughput is below the standards applied by the operator.
Estimation of Power Transformer Loading Based on Population Growth: A Case Study in Kulon Progo Regency Ardiyanto, Yudhi; Suripto, Slamet; Mujaahid, Faaris; Anshori, Rohman Try; Jusman, Yessi; Arkan, Fardhan
Journal of Electrical Technology UMY Vol 3, No 4 (2019): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3465

Abstract

Along with technological advances, it is estimated that the gross regional domestic product (GRDP) of Kulon Progo Regency increases annually by 7.6%, and the population growth of Kulon Progo regency increases annually by 0.9%. However, after assuming with Muara Bungo Regency as a reference to GRDP growth and Population of Kulon Progo Regency due to the influence of the Establishment of New Yogyakarta International Airport (NYIA) in 2019, the population growth every year is 15.78%. While GRDP in 2018 until 2019 equals to 82.91% and next year equals to 7.6 %. Load forecasting the burden for the next ten years by using multiple linear regression affected by NYIA in 2019, the loading of the 150 kV Wates substation is only up to 2021 for the power transformer I of 24.83 MW and the power transformer II 55.40 MW. So it is estimated that for 2022, power transformer I and power transformer II of 150 kV Wates Substation are no longer able to serve the loading. Then, in 2021 a feeder shift and uprating power transformer I need to be conducted. In 2024 a power transformer III is needed. In that year the feed formation from power transformer I and power transformer II was changed to power transformer III.
Microcontroller Based Automatic Calculation of Ideal Weight Body Mustar, Muhamad Yusvin; Chamim, Anna Nur Nazilah; Putra, Karisma Trinanda; Nugraha, Vendy Dwi Hendra; Jusman, Yessi
Journal of Electrical Technology UMY Vol 2, No 4 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2443

Abstract

The development of science and technology is increasing every day, especially in the field of electronics and control systems. This is marked by the rapid progress that has occurred with the creation of increasingly sophisticated electronic devices and all systems have gone from conventional to automatic. Many benefits are obtained from the rapid development in the field of electronics and control systems including being able to assist humans in completing their tasks, increasing human productivity, and increasing the level of effectiveness in doing work. Departing from this, then in this study designed an automatic body ideal value calculation tool that is controlled by a microcontroller chip using C language programming. This study provides another alternative in measuring mass values, height values, and displaying a BMI (Body Mass Index) ) subject automatically. The working system is quite easy where the subject only climbs the scales, the height measuring device with ultrasonic sensors PING)) will work to measure the subject's height, the scales equipped with the HX711 module will measure the mass value of the subject. Then, the microcontroller will process the height value, and the mass value of the subject to calculate the subject's BMI
Analysis of Reliability-based Systems of 20kv Distribution Network Disturbance on PT. PLN Rayon Panam Suripto, Slamet; Putra, Karisma Trinanda; Jusman, Yessi; Aroffi, Muhammad Rusydi Al; Jamaaluddin, Jamaaluddin
Journal of Electrical Technology UMY Vol 3, No 3 (2019): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.3359

Abstract

Electricity needs for each year has increased, this is due to an increase in people's lives. Reliability is an important factor in the operation of distribution system and is an important factor in the continuity of the waiter to the consumer. Several parameters are used as reference to megukur level of reliability of a distribution system that is SAIFI (avarage interuption of frequency index system) is a calculation of the number of failures or disruptions average - average one year, SAIDI (System of interruption Duration Index) index median duration - average system interruption during the year. In this study was also performed calculations eens (Expected Energy Not Supplied) This calculation is done because of disturbance at each feeder there is energy that can not be channeled, it can happen losses. Based on the calculation and analysis that the reliability index is obtained there are some feeder Rayon Panam categorized as not reliable because it has a high SAIFI value not in accordance with the target SPLN No. 68-2 1986 and IEEE std 1366-2003. Energy losses that can not be distributed annually sizeable each feeder. This indicates a feeder located at Panam Rayon considered less reliable, to the need for repairs and maintenance
Analysis of Losses of propulsion systems on Electric Diesel Rail Trains Jamal, Agus; Chamim, Anna Nur Nazilah; Putra, Karisma Trinanda; Masfiyah, Nisfi Nurlailatul; Jusman, Yessi
Journal of Electrical Technology UMY Vol 2, No 3 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2338

Abstract

Train is one of transportation which supports the mobilization of society. Futhermore, it is affordable and comfortable so that people prefer using it. One of trains which is usually used by many people is KRDE or electric diesel railway, which is an innovation of technology in PT. INKA based on railway industry. It is one of railway that need electricity as the main source of energy that comes from alternator. it will handle all power of load needs on KRDE like as propulsion and auxiliary load. Therefore, the fluency of KRDE is affected by electrical system of the railway, which is mostly affected by propulsion load because it needs bigger power than auxiliary load. In this research presents about losses calculation on KRDE that are Three- phase rectifier, Variable Voltage Variable Frequency (VVVF) inverter and Three phase induction motor. Three phase rectifier and VVVF inverter will simulated by PSIM software to understand how the circuit work. The results of this research are explain about the number of loss energy in three phase rectifier is 21,6 Watt. In VVVF inverter and three induction motor, there are five samples. From analysis of the samples result that VVVF inverter has the highest efficiency 95,53% with loss energy 19,992 KW, which on 645 Volt about output voltage and 90 Hz about output frequency. In three phase induction motor, 91, 426% is the highest efficiency and it has 18,211 KW at loss energy, which on 635 Volt about input voltage and 36,38 Hz about input frequency. Then, the highest efficiency of propulsion system is 94,59% and 53,38 KW about loss energy, which on 635 Volt about input voltage and 36,38 Hz about input frequency in induction motor.
Comparison Analysis of K-Nearest Neighbor and Naïve Bayes in Determining Talent of Adolescence Yessi Jusman; Widdya Rahmalina; Juni Zarman
International Journal of Artificial Intelligence Research Vol 4, No 1 (2020): June
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.209 KB) | DOI: 10.29099/ijair.v4i1.118

Abstract

Adolescence always searches for the identity to shape the personality character. This paper aims to use the artificial intelligent analysis to determine the talent of the adolescence. This study uses a sample of children aged 10-18 years with testing data consisting of 100 respondents. The algorithm used for analysis is the K-Nearest Neigbor and Naive Bayes algorithm. The analysis results are performance of accuracy results of both algorithms of classification. In knowing the accurate algorithm in determining children's interests and talents, it can be seen from the accuracy of the data with the confusion matrix using the RapidMiner software for training data, testing data, and combined training and testing data. This study concludes that the K-Nearest Neighbor algorithm is better than Naive Bayes in terms of classification accuracy.
Co-Authors Adi Nugroho Agus Jamal Agus Jamal Agus Jamal Ahmad Zaki Ahmad Zaki Ahmad Zaki Amin Musthofa Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Anna Nur Nazilah Chamim Anshori, Rohman Try Ardiyanto, Yudhi Arisman Adnan Aroffi, Muhammad Rusydi Al Ayuningtiyas, Ratih Azhari Setiawan Bunsa Jondan Satriawan Candra Dwi Sukardi Dea Anisya Dedy Prasetiyo Deinike Wanita Marwan Didik Aribowo Dimas Bangkit Wijayanto Faaris Mujaahid, Faaris Farah Ramadhani Fardhan Arkan Farhan Eris Prianto Faris Fauzan Bachtiar Faruliyan Arya Ferisnanda Gigih Ashabul Kahfi Hardiyanto, Tio Hasibi, Rahmat Adiprasetya Al Henny febriani Iffa Maisun Putri Izmi, Rizkinanda Muhammad Jamaaluddin, Jamaaluddin Jeckson Jeckson Juhesni Juhesni Juni Zarman Karisma Trinanda Putra Karisma Trinanda Putra, Karisma Trinanda Khairunnisa Hasikin Khairunnisa Hasikin Kharisma Fajar Sidik Kunnu Purwanto Lestari, Sri Indah M. Alfadha Tumahadi M.Thariq Assary Marwan, Deinike Wanita Masayu Alya Nur'aini Masayu Alya Nuraini Masfiyah, Nisfi Nurlailatul Muhamad Yusvin Mustar Muhammad Ahdan Fawwaz Nurkholid Mustar, Muhamad Yusvin Ninda Rizqi Safitri Nugraha, Vendy Dwi Hendra Nurul Kurnia Sukmawati Pinkan Adhisa Nurulia Purnomo, Halim Purwanto, Kunnu Putri Thelima Rahmat Adiprasetya Al Hasibi Rahmat Adiprasetya Al Hasibi Ramadoni Syahputra Ratih Ayuningtiyas Renda Sukma Tamara Salamun Salamun Sanupal, Sanupal Siew Cheok Ng Siew Cheok Ng Siva Aprilia Slamet Suripto Surahmat, Indar Suripto, Slamet Teguh Iman Prasetyo Teguh Iman Prasetyo Valzon, May Wicaksono, Wahyu Nugroho Widdya Rahmalina Widdya Rahmalina Widyasmoro, Widyasmoro wikan tyassari Wita Yulianti Wiyagi, Rama Okta Yudhi Ardiyanto Zul Indra