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All Journal Semesta Teknika Journal of Electrical Technology UMY Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Teknik Informatika (JUTIF) Emerging Information Science and Technology
Karisma Trinanda Putra, Karisma Trinanda
Institut Teknologi Sepuluh Nopember, Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Library & Information Science Other

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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.
Naive Bayes for Diabetes Prediction: Developing a Classification Model for Risk Identification in Specific Populations Arrayyan, Ahmad Zaki; Setiawan, Hendra; Putra, Karisma Trinanda
Semesta Teknika Vol 27, No 1 (2024): MEI
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v27i1.21008

Abstract

Depending on persuasive statistics, the increasing prevalence of diabetes worldwide is a huge challenge for individuals, families, and nations. According to International Diabetes Federation (IDF) projections, the number of adults with diabetes is expected to rise by an astounding 46% by 2045, to reach 783 million, or one in eight. In response to this growing concern, this research explores the implementation of the Naive Bayes algorithm for predicting diabetes, employing comprehensive data cleansing and randomization techniques. A systematic evaluation of the model's performance is conducted using several training and testing split ratios (65:35, 75:25, 85:15). The outcome showed that the model performed best at the 65:35 split ratio, with accuracy reaching its maximum of 88.16%, precision 0.883, recall 0.881, and f1-score 0.882.
Strategi peningkatan keilmuan keislaman pada masyarakat melalui pelatihan aplikasi digital quran Rohmansyah, Rohmansyah; Putra, Karisma Trinanda
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 6 No 2 (2023)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v6i2.19549

Abstract

Pada era sekarang ini perkembangan ilmu pengetahuan dan teknologi semakin canggih sehingga manusia mudah mengakses setiap aplikasi digital dalam handphone dan laptop. Namun, sebagian masyarakat tidak banyak mengetahui dan mengakses aplikasi tersebut, karena kurangnya pengetahuan. Pengabdian ini ditujukan pada masyarakat Bulu, Lendah, Kulonprogo Yogyakarta. Tujuan kegiatan ini adalah meningkatkan keilmuan keislaman masyarakat dalam hal membaca Al-Qur’an agar sesuai kaidah tajwid melalui aplikasi digital Al-Qur’an. Metode yang digunakan adalah metode kualitatif yang bersifat Participatory Action Research dengan ceramah dan praktik aplikasi digital. Hasil kegiatan ini adalah: pertama, meningkatnya kecintaan dan semangat membaca Al-Qur’an dengan mudah dan mandiri. Kedua, masyarakat dapat mempraktikkan cara membaca Al-Qur’an dengan aplikasi digital Quran secara offline dan online. Ketiga, sikap tumbuh semangat dalam meningkatkan keilmuan pemahaman dalam menerjemahkan Al-Qur’an, sehingga mereka lebih banyak berinteraksi dengan Al-Qur’an. Keempat, pelatihan melalui aplikasi digital Quran tersebut mudah diakses oleh siapa pun, kapan pun dan di mana pun, maka kemandirian masyarakat menjadi lebih tinggi untuk dapat belajar Al-Qur’an daripada belajar langsung kepada guru. Kelima, pelatihan aplikasi digital Quran setidaknya dapat memberikan pengetahuan kepada masyarakat tentang penting-nya aplikasi digital Quran dalam mempelajari Al-Qur’an sebagai satu sumber ilmu pengetahuan yang komprehensif. Maka IPTEKS ini sangat membantu masyarakat dalam membaca dengan benar sesuai kaidah tajwid, memahami, dan mengamalkan isi kandungan Al-Qur’an dalam aktivitas keseharian.
Preference-Driven Medical Image Retrieval using a Dual-Head DenseNet-121 and Multi-Objective Skyline Query for COVID-19 Detection Handoko, Slamet Handoko; Prayitno, Prayitno; Tena, Silvester; Putra, Karisma Trinanda; Sunardi, Sunardi; Prasetyo, Eko; Damarjati, Cahya
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5884

Abstract

This study addresses the limitation of single-objective content-based image retrieval in medical imaging, which fails to consider multiple clinical preferences such as image quality. The objective is to develop a preference-driven retrieval system for COVID-19 chest radiography images. A hybrid approach is proposed by integrating a Dual-Head DenseNet-121 model for feature extraction and quality regression with a multi-objective skyline query algorithm for retrieval optimization. The system evaluates multiple image quality dimensions, including sharpness, contrast, exposure, signal-to-noise ratio, and entropy. Experimental results demonstrate that the proposed method achieves 100% Pareto efficiency and improves diversity and hypervolume coverage compared to conventional methods. This approach provides a more flexible and effective multi-objective retrieval mechanism, contributing to the advancement of intelligent medical image retrieval systems in computer science.
Design a Two-Axis Sensorless Solar Tracker Based on Real Time Clock Using MicroPython Putra, Karisma Trinanda; Arrayyan, Ahmad Zaki; Syahputra, Ramadoni Zaki; Pamungkas, Yoga Agil; Rahaman, Mosiur
Emerging Information Science and Technology Vol. 4 No. 1 (2023): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i1.18697

Abstract

Since the majority of the electrical energy required to meet consumer demands is still produced by the typical power plant using fossil fuels, the world's electricity supply will eventually approach a critical point due to the steady depletion of fossil fuels. One solution to replacing energy derived from fossil fuels is solar energy. However, the results of energy generation are significantly influenced by the angle of the solar panels to the direction of sunlight. Therefore, in order to optimize the production of electrical energy, a microcontroller system that can track sunlight is developed using MicroPython. This research calculated the azimuth angle and elevation angle to create a solar tracker that can follow the sun's position based on time. The results of this research reveal that solar trackers at 21.30 volts and rooftop solar panels at 20.44 volts when both produce open circuit voltage. With an solar tracker, solar panels may operate up to at a 20% efficiency in sunny conditions, compared to an average efficiency of 18% for rooftop solar panels.
Power Flow Analysis of Electrical Network Systems Using Gauss-Seidel Method and Python Nazilah Chamim, Anna Nur; Putra, Karisma Trinanda; Al Farisi, Muhammad Fahrul
Emerging Information Science and Technology Vol. 4 No. 1 (2023): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i1.18698

Abstract

This study aims to analyze the power flow in a 150kV radial power system on the island of Bali, the reason the author uses the Bali island system is because the number of busbars in the system is not too many and the data on the system is known. The problem of this research is limited by determining the voltage, power flow, and power losses in the system. The method used in this study is the Gauss-Seidel method through simulation with the help of Visual Studio Code software and the Python 3.9.2 program. The simulation is carried out by producing a total of 8 iterations. The simulation is carried out to find the parameters of the load voltage, apparent power on the slack bus, current, power flow and power losses on the line. The simulation results show that, under a load condition of 70% of the load transformer capacity, the voltage at the load bus node experiences a voltage drop, reaching 4.48% at bus 10. So when the system operates for generation conditions, the power that can be generated is 1,275.6 MegaWatt of the total generator installed, and the power delivered to each bus node is 2,090 MVa and the power losses in the system are 3.69% of the total power distributed to the bus nodes
Electrical Design of a Portable Pure Sine Wave Inverter Using Ferrite Core Transformer and Double Stage Technique Purwanto, Kunnu; Wijayanto, Aditya Agus; Ardiyanto, Yudhi; Putra, Karisma Trinanda
Journal of Electrical Technology UMY Vol. 7 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v7i1.17912

Abstract

The size of the iron core transformer in an inverter is large and heavy because it has more conductor turns and works at low frequencies. In contrast, ferrite core transformers are designed to work at high frequencies, so the number of turns of the conductor is less, and the transformer size is relatively small and light. Device portability is a significant challenge in designing high-power inverters. This research uses a ferrite core transformer to design a portable pure sine wave inverter. A two-stage technique is proposed in designing the inverter so that the dc-link voltage and capacitor size can be flexibly selected, and the device size can be compacted. The design consists of two stages. First, a circuit to generate a 400-Volt DC voltage is designed using IC SG3525, a MOSFET power amplifier, and a ferrite core step-up transformer. Second, a pure sine wave generator circuit is constructed using an EGS002 module, MOSFETs, and a filter circuit. Experiments are performed by measuring the output voltage, monitoring power and frequency, and observing the waveform with an oscilloscope. The results reveal that the designed inverter can generate a 220-volt pure sine wave output, a maximum power of 500 Watts, a frequency of 50 Hz, and an efficiency between 91.4% to 98.1%.
Developing a Scalable IoT-Based Platform for Enhancing Air Quality Monitoring in Public Transport Using Node-RED Zidni, Hasan; Putra, Karisma Trinanda; Santosa, Fahrul Galih; Nugroho, Arif; Pranoto, Sarwo; Rahaman, Mosiur; Chu, Hsueh-Ting
Journal of Electrical Technology UMY Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v8i2.24701

Abstract

Air quality monitoring is a critical factor in ensuring human safety and well-being. However, existing monitoring systems are often limited to specific locations, resulting in a lack of comprehensive information regarding air quality conditions in various areas. This study proposes the development of an (Internet of Things) IoT-based air quality monitoring platform utilizing Node- RED, implemented in public transportation facilities in Yogyakarta. The system provides real-time data that enhances public awareness and understanding of air quality conditions, particularly in densely populated transportation hubs. The prototype utilizes MQ-7 and MQ-135 sensors to measure key air quality indicators, including carbon monoxide (CO) and carbon dioxide (CO2). Air quality data is collected every minute and can be viewed in real-time through the Node-RED platform, with the data stored in CSV format for further analysis. The system demonstrated consistent performance, with an average transmission time of 2706 ??, ensuring near real-time updates across all test locations. The highest average concentrations of CO and CO2 recorded were 28 ppm and 124 ppm, respectively. According to the World Health Organization (WHO) Air Quality Guidelines, carbon monoxide (CO) levels below 50 ppm and carbon dioxide (CO₂) levels below 300 ppm are considered safe. This indicates that the air quality in the monitored locations is generally acceptable.
Development of a Hydrothermal Carbonization System for Converting Sheep Hair and Fleshing Waste into Organic Fertilizer and Its Prospective Use in Plastic Waste Processing Listyalina, Latifah; Arifin, Uma Fadzilia; Ratnaningsih, Wahyu; Juhana, Swatika; Putra, Karisma Trinanda; Hafizah, Annisa
Journal of Electrical Technology UMY Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v9i2.28638

Abstract

Soil fertility plays a crucial role in sustaining agricultural productivity, and one effective strategy to enhance it is through the incorporation of organic matter such as humus. Although the natural process of humification requires considerable time, the resulting material greatly benefits soil structure, water retention, and nutrient availability. Modern technologies, including hydrothermal carbonization, offer the advantage of accelerating humus formation or generating comparable organic compounds within a shorter timeframe, thereby providing an efficient approach to soil enrichment. In parallel, local sheep leather tanning industries produce substantial waste, including leather scraps, sheep hair, and liquid effluents. Sheep hair is rich in keratin protein that remains underutilized, whereas fleshing waste contains proteins and fats that decompose rapidly and may cause environmental pollution if not properly managed. This study proposes a practical solution by converting such waste into organic fertilizer through hydrothermal carbonization. For this purpose, a hydrothermal reactor with a 20-liter capacity, 60 cm height, 21 cm diameter, and 10 cm wall thickness was designed to operate at 180 °C and 5 bar. Calibration of voltage, temperature, and pressure confirmed compliance with design specifications. Experimental trials using a 1:1:1 ratio of hair waste, fleshing waste, and water yielded 2,150 g of solid organic fertilizer and 2,070 g of liquid product, corresponding to an overall yield of 56.26%. In future work, the hydrothermal carbonization approach demonstrated in this study may be extended to plastic waste processing, since the similarity in carbon-rich feedstock composition allows potential adaptation of this system to convert polymeric waste into carbonaceous or biochar-like products, supporting circular-economy initiatives and sustainable material recovery through integrated organic and plastic waste treatment.
Co-Authors Agus Jamal Akbar, Gilang Ekavigo Astafil Al Farisi, Muhammad Fahrul Anjasmara, Fuad Hammaminata Arya Anna Nur Nazilah Chamim Aprilian, Salman Muntaqo Ardiyanto, Yudhi Arif Nugroho Aroffi, Muhammad Rusydi Al Arrayyan, Ahmad Zaki Cahya Damarjati Chu, Hsueh-Ting Dedid Cahya Happyanto Eko Prasetyo Era Purwanto Faaris Mujaahid, Faaris Fauzi, Argi Mochamad Hafizah, Annisa Hendra Setiawan Indah Soesanti Jamaaluddin Juhana, Swatika Jusman, Yessi Lestari, Sri Indah Listyalina, Latifah Masfiyah, Nisfi Nurlailatul Mustar, Muhamad Yusvin Mustika, Doane Puri Nazilah Chamim, Anna Nur Nugraha, Vendy Dwi Hendra Pamungkas, Yoga Agil Pranoto, Sarwo Prayitno Prayitno Purwanto, Kunnu Rahaman, Mosiur Ramadoni Syahputra Ratnaningsih, Wahyu Rohmansyah Santosa, Fahrul Galih Silvester Tena Slamet Handoko Slamet Suripto Sunardi Sunardi Syahfitra, Febrian Dhimas Syahputra, Ramadoni Zaki Uma Fadzilia Arifin, Uma Fadzilia Wardhana, Dimas Aditya Putra Widyasmoro, Widyasmoro Wijayanto, Aditya Agus Wiyagi, Rama Okta Zidni, Hasan