Article Per Year (5 Year)
p-Index From 2019 - 2024
0.947
P-Index
This Author published in this journals
All Journal Semesta Teknika Journal of Electrical Technology UMY
Karisma Trinanda Putra, Karisma Trinanda
Institut Teknologi Sepuluh Nopember, Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Library & Information Science

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Prediksi Beban Listrik Menggunakan Algoritma Jaringan Syaraf Tiruan Tipe Propagasi-Balik Syahputra, Ramadoni; Syahfitra, Febrian Dhimas; Putra, Karisma Trinanda; Soesanti, Indah
Semesta Teknika Vol 23, No 2 (2020): NOVEMBER 2020
Publisher : Semesta Teknika

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

Abstract

Artikel ini mengusulkan prediksi beban puncak menggunakan metode jaringan syaraf tiruan tipe propagasi-balik. Prediksi beban puncak transformator tenaga merupakan tugas penting dalam mengantisipasi pertumbuhan beban listrik di masa mendatang. Prediksi yang tepat dan akurat akan memfasilitasi perencanaan kapasitas pembangkit listrik yang memadai pada waktu yang tepat. Metode jaringan syaraf tiruan tipe propagasi-balik memiliki akurasi yang baik dalam tugas-tugas prediksi. Pada penelitian ini dilakukan prediksi beban puncak pada dua buah transformator tenaga dengan studi kasus di Gardu Induk Bumiayu, Brebes, Jawa Tengah, Indonesia. Parameter pelatihan adalah data pertumbuhan penduduk, produk domestik regional bruto (PDRB), dan data beban puncak selama sepuluh tahun terakhir. Hasil penelitian menunjukkan bahwa kedua unit transformator tenaga tersebut masih dapat melayani beban listrik di wilayah pelayanan Gardu Induk Bumiayu selama sepuluh tahun ke depan.   This article proposes a peak load prediction using the backpropagation neural network method. Predicting the peak load of power transformers is an important task in anticipating load growth in the future. Precise and accurate predictions will facilitate the planning of sufficient power generation capacity at the right time. The backpropagation type neural network method has good accuracy in the prediction task. In this study, a case study was carried out by predicting the peak load of power transformers at Bumiayu Substation, Brebes, Central Java, Indonesia. Training parameters consists of population growth data, gross regional domestic product (GRDP), and peak load data for the last ten years. The results showed that the two power transformer units could still serve the electricity load in the Bumiayu substation service area for the next ten years.   
Potentials of Organic Waste Conversion in a Green Campus Concept Mujaahid, Faaris; Fauzi, Argi Mochamad; Syahputra, Ramadoni; Putra, Karisma Trinanda; Purwanto, Kunnu
Journal of Electrical Technology UMY Vol 1, No 4 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1424

Abstract

Development of waste-to-energy plant is regarded as one of a solution to reduce fossil energy dependency and switch to another alternative energy sources, thus needs to be implemented immediately. Research on the potential of organic waste by taking case studies at UMY green campus program can be an illustration that in the future UMY can process this potential into an alternative renewable energy. This research was conducted by studying waste management and data collection methods, such as field observations, discussions with related parties about the waste cycle, and calculations with the concept of gasification. Calculation of biomass produced by organic waste is then supplied to the motor generator for electricity production. Annually, 31.8 tons of organic waste could produce 7.9 kiloliters of biomass and channel it to the power plant system for generating electricity energy as much as 5.3 MWh per year. This number equals to the electricity supply of five small-housing in Indonesian typical house.
Development of Data Acquisition System Using LabVIEW-based Interface for Aircraft Application Mujaahid, Faaris; Anjasmara, Fuad Hammaminata Arya; Wiyagi, Rama Okta; Putra, Karisma Trinanda
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.2340

Abstract

This paper discusses an interface data acquisition (DAQ) of a rocket using LabVIEW. The software development is meant to improve the quality and reliability of the interface that has been built by the UMY rocket team. The data used on the experiments is a set of dummy data created for simulation purpose. This data is generated by Arduino UNO, in which it was acquired by LabVIEW through VISA serial communication platform. The test results show that there is 10% error during the data retrieval. The DAQ average speed is 270 milliseconds. This new approach has more stable and reliable system when compared to previous algorithm.
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%.
Voice Verification System Based on Bark-frequency Cepstral Coefficient Putra, Karisma Trinanda
Journal of Electrical Technology UMY Vol 1, No 1 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1104

Abstract

Data verification systems evolve towards a more natural system using biometric media. In daily interactions, human use voice as a tool to communicate with others. Voice charactheristic is also used as a tool to identify subjects who are speaking. The problem is that background noise and signal characteristics of each person which is unique, cause speaker classification process becomes more complex. To identify the speaker, we need to understand the speech signal feature extraction process. We developed the technology to extract voice characteristics of each speaker based on spectral analysis. This research is useful for the development of biometric-based security application. At first, the voice signal will be separated by a pause signal using voice activity detection. Then the voice characteristic will be extracted using a bark-frequency cepstral coefficient. Set of cepstral will be classified according to the speaker, using artificial neural network. The accuracy reached about 82% in voice recognition process with 10 speakers, meanwhile, the highest accuracy was 93% with only 1 speaker. 
Prediksi Beban Listrik Menggunakan Algoritma Jaringan Syaraf Tiruan Tipe Propagasi-Balik Syahputra, Ramadoni; Syahfitra, Febrian Dhimas; Putra, Karisma Trinanda; Soesanti, Indah
Semesta Teknika Vol 23, No 2 (2020): NOVEMBER 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v23i2.9940

Abstract

Artikel ini mengusulkan prediksi beban puncak menggunakan metode jaringan syaraf tiruan tipe propagasi-balik. Prediksi beban puncak transformator tenaga merupakan tugas penting dalam mengantisipasi pertumbuhan beban listrik di masa mendatang. Prediksi yang tepat dan akurat akan memfasilitasi perencanaan kapasitas pembangkit listrik yang memadai pada waktu yang tepat. Metode jaringan syaraf tiruan tipe propagasi-balik memiliki akurasi yang baik dalam tugas-tugas prediksi. Pada penelitian ini dilakukan prediksi beban puncak pada dua buah transformator tenaga dengan studi kasus di Gardu Induk Bumiayu, Brebes, Jawa Tengah, Indonesia. Parameter pelatihan adalah data pertumbuhan penduduk, produk domestik regional bruto (PDRB), dan data beban puncak selama sepuluh tahun terakhir. Hasil penelitian menunjukkan bahwa kedua unit transformator tenaga tersebut masih dapat melayani beban listrik di wilayah pelayanan Gardu Induk Bumiayu selama sepuluh tahun ke depan.   This article proposes a peak load prediction using the backpropagation neural network method. Predicting the peak load of power transformers is an important task in anticipating load growth in the future. Precise and accurate predictions will facilitate the planning of sufficient power generation capacity at the right time. The backpropagation type neural network method has good accuracy in the prediction task. In this study, a case study was carried out by predicting the peak load of power transformers at Bumiayu Substation, Brebes, Central Java, Indonesia. Training parameters consists of population growth data, gross regional domestic product (GRDP), and peak load data for the last ten years. The results showed that the two power transformer units could still serve the electricity load in the Bumiayu substation service area for the next ten years.   
Information System Design for Calculating the Reliability of Electricity Distribution System in Pekalongan Substation Based on Android OS Aprilian, Salman Muntaqo; Mujaahid, Faaris; Syahputra, Ramadoni; Putra, Karisma Trinanda; Widyasmoro, Widyasmoro
Journal of Electrical Technology UMY Vol 4, No 2 (2020): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v4i2.11187

Abstract

Reliability of distribution networks is a factor that greatly affects customers as consumers of electricity. Analyzing and calculating the reliability of distribution networks are determined by the reliability index including SAIFI, SAIDI, CAIDI, and ASAI. On the other hand, smartphone technology is growing rapidly with a variety of applications to help simplify and accelerate human work in several fields of work. This paper delivers the design of an Android-phone-based analytic tool for distribution system reliability index measurement by developing it on Android application software. This application is named KALINDA, stands for Kalkulator Indeks Keandalan (Reliability Index Calculator), and created by using Android Studio IDE. We compare the data result between KALINDA calculations and manual calculations. The results obtained from the KALINDA application are declared to be valid accurate.
AutoDock-IPS: An Automated Docking for Mobile Robot Based on Indoor Positioning System Wardhana, Dimas Aditya Putra; Happyanto, Dedid Cahya; Purwanto, Era; Akbar, Gilang Ekavigo Astafil; Putra, Karisma Trinanda
Journal of Electrical Technology UMY Vol 5, No 1 (2021): June
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v5i1.12310

Abstract

Mobile robots are proven to be reliable in supporting the human tasks by using a computerized system that minimizes human errors. However, recharging the battery in these robots is still performed manually by the user. Therefore, to extend their lifetime, an indoor automatic docking system ‘AutoDock-IPS’ is created for mobile robot to charge its battery automatically. The automatic docking system determines the location of the docks (i.e., charging stations) so that, prototype can immediately navigate to them. Experiments were carried out to validate the docking method by utilizing a compass module as a direction sensor and a rotary encoder as a displacement indicator. These sensors are combined into a robust indoor positioning system. The results show that the prototype can find the fastest route to the docking station to perform battery charging procedure.
Energy Efficiency Through Lighting and Cooling System Approach Mujaahid, Faaris; Mustika, Doane Puri; Syahputra, Ramadoni; Putra, Karisma Trinanda; Purwanto, Kunnu
Journal of Electrical Technology UMY Vol 2, No 1 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2127

Abstract

This work reports the implementation of using energy efficient electronic devices to reduce the electricity consumption in Universitas Muhammadiyah Yogyakarta (UMY). The first step taken by UMY is to replace lighting and cooling system in all its rooms using energy saving devices. This research was conducted in building E4. This research was conducted by surveying the designated building to get data about lighting and air conditioner devices used in the E4 building. If the proposed concept is applied to lighting and cooling system, UMY would be able to reduce electricity consumption by 28.1 MWh, and this can support the breakthrough of turning UMY into a green campus.
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
Co-Authors Agus Jamal Akbar, Gilang Ekavigo Astafil Anjasmara, Fuad Hammaminata Arya Anna Nur Nazilah Chamim Aprilian, Salman Muntaqo Aroffi, Muhammad Rusydi Al Dedid Cahya Happyanto Era Purwanto Faaris Mujaahid, Faaris Fauzi, Argi Mochamad Indah Soesanti Jamaaluddin, Jamaaluddin Jusman, Yessi Lestari, Sri Indah Masfiyah, Nisfi Nurlailatul Mustar, Muhamad Yusvin Mustika, Doane Puri Nugraha, Vendy Dwi Hendra Purwanto, Kunnu Ramadoni Syahputra Slamet Suripto Syahfitra, Febrian Dhimas Wardhana, Dimas Aditya Putra Widyasmoro, Widyasmoro Wiyagi, Rama Okta