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All Journal International Journal of Electrical and Computer Engineering Semesta Teknika Journal of Electrical Technology UMY Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal POLIMESIN Emerging Information Science and Technology
Karisma Trinanda Putra
Universitas Muhammadiyah Yogyakarta
Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Other

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Energy Harvesting on Footsteps Using Piezoelectric based on Circuit LCT3588 and Boost up Converter Iswanto Iswanto; Slamet Suripto; Faaris Mujaahid; Karisma Trinanda Putra; Noor Pratama Apriyanto; Yosi Apriani
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.312 KB)

Abstract

Piezoelectric utilization as a generator is an effort to obtain electrical energy that refers to the concept of energy harvesting referring the development of piezoelectric as a generator that converts the pressure or vibration generated from steps into electrical energy that can be used on low-power electronic devices. Because the use of piezoelectric as a generator allows the use in charging low voltage, a larger resource is required in different series. Based on the problem, an energy harvesting device and a voltage amplifier are created to increase the voltage of the pizoelectric output. An arduino microcontroller is used to control the energy harvesting device and voltage booster. It is required approximately 10 steps to charge four AA 1.2 Volt batteries and 80 steps to charge two 12 volt batteries respectively.
Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient Karisma Trinanda Putra
Semesta Teknika Vol 20, No 1 (2017): MEI 2017
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v20i1.2358

Abstract

Human-machine interaction evolves toward a more adaptive and interactive system. There are several media that can be used in human-machine interaction systems, such as voice signals. The process includes converting analog signals into the appropriate meaning, which depend on the noise and reliability of signal characteristic extraction methods. In fact, variations of pronunciation by different people will result in a diversity of voice signal patterns. This research develops technology that can recognize and translate speech according to data that has been trained and can be modified based on user requirement. The voice signal will be separated from the silent signal using voice activity detection. Then, the voice signal is converted to the frequency domain before it is extracted using mel-frequency cepstral coefficients. Cepstral value from MFCC extraction will be identified as words using artificial neural network. This study utilizes a computer with a microphone as a sound recording device and pascal programming language as the basis for building applications. Based on the experimental results, the accuracy is 87% on the speech recognition process with 28 vocabulary sets. Accuracy decreases with more sets of vocabulary. However, the more pronounced speech variations, the greater the accuracy with an average number around 93%.
University Course Timetabling with Genetic Algorithm: A Case Study Toha Ardi Nugraha; Karisma Trinanda Putra; Nur Hayati
Journal of Electrical Technology UMY Vol 1, No 2 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1213

Abstract

University Course Timetabling Problems is a scheduling problem to allocate some lectures with some constraint, such as the availability of lecturers, number of classrooms and time slot in each day. The schedule of courses is one of important factors before start the semester in order to manage the study process. Generally, the university course scheduling in some universities are usually created manually through administration office. It needs to synchronize for all schedules from all departments in faculty of the university. In addition, the limitations of classroom and timeslot can make collision of the courses, lecturers and also incompatibility between the room capacity and the number of students whom take the course in the class. This paper proposes the university course time tabling systems. Based on some simulations with 93 courses, 18 lecturers and up to six classrooms, the result is that the system will get the best violation if the system adds more number of iteration. This situation also happens in the result of the scheduling lectures, the system will get the best percentage when the number of iteration sets as maximum.
Design and Development of Fan Speed and Light Speed Control Systems with Android-Based Voice Commands Anna Nur Nazilah Chamim; Rama Okta Wiyagi; Karisma Trinanda Putra; Faruliyan Arya Ferisnanda; Yessi Jusman
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.2236

Abstract

At this time controlling electrical equipment in the form of fans and lights are still mostly using conventional switches. By using an android voice command device with a bluetooth connection, controlling the equipment can be easier. Using a Bluetooth connection will reduce the use of cables and speed up the process of activating or deactivating electronic devices because they do not have to get close to reach the switch. With input in the form of voice commands is very easy in controlling electronic devices such as fans and lights. With the adjustment of the fan speed and brightness of the lights with voice commands can save electricity and more easily in its settings
Implementation of Backpropagation Artificial Neural Network as a Forecasting System of Power Transformer Peak Load at Bumiayu Substation Febrian Dhimas Syahfitra; Ramadoni Syahputra; Karisma Trinanda Putra
Journal of Electrical Technology UMY Vol 1, No 3 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1316

Abstract

The National Electricity Company (PT PLN) should have an estimated peak load of the substation transformer in the future. This is useful to be able to achieve transformer capability and can be used as a first step to anticipate the possibility of replacement of a new transformer. This research presents a peak load forecasting system transformer1 and transformer2 in Bumiayu substation using Backpropagation Artificial Neural Network (ANN). This study includes the procedures for establishing a network model and manufacture forecasting system based GUI (Graphic User Interface) using MATLAB 2015a. The formation of the network model refers to input variables consisting of GRDP data, population data and historical data of peak load of transformer. In this research, a multilayer network model, which consists of 1 input layer, 2 hidden layers and 1 output layer, is used. The peak load forecasting of transformer1 produces 5.7593e-08 for training MSE and 5.3784e-04 for testing MSE. Meanwhile, forecasting the peak load transformer2 generated 3.3433e-08 for training MSE and 9,4710e-04 for testing MSE.
Design of IoT-Based Control System Using Fuzzy Inference System Sunardi Sunardi; Agung Mulyo Widodo; Karisma Trinanda Putra; Cahya Darmarjati; Prayitno Prayitno
Jurnal POLIMESIN Vol 20, No 2 (2022): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1033.215 KB) | DOI: 10.30811/jpl.v20i2.2650

Abstract

Industry 4.0 combines automation technology with cyber technology such as Internet of Things (IoT) technology. IoT services can provide a system with a huge amount of data in real-time monitoring from edge sensory nodes. However, in real-world industrial applications, IoT can not achieve a good result in decision-making tasks unless intelligent mechanisms are integrated into it. A control system based on the combination of IoT and artificial intelligence (AIIoT) is explored in this study. This research simulated the used of IoT devices for controlling tasks and can be monitored via the internet. In addition, an artificial intelligence, i.e., a fuzzy Inference System, is proposed. First, inputs are recorded from DHT11 temperature-humidity sensor and the MPX5100DP indoor air pressure sensor. Then, the inference model converts the inputs into fuzzy sets and then calculates the output during the inference phase using predefined rules. The proposed algorithm is implemented using an ESP8266 Arduino board which can connect to the server via WiFi. This prototype can record input data with errors measured by RMSE of 0.38 and 1.158 for humidity-temperature and air pressure sensors, respectively. Based on experiments, the system can respond optimally to the input changes that are manipulated through the FIS algorithm, as evidenced by using an average error of 0.0145 in five different scenarios
Strategi peningkatan keilmuan keislaman pada masyarakat melalui pelatihan aplikasi digital quran Rohmansyah Rohmansyah; Karisma Trinanda Putra
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 6 No 2 (2023): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
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.
Power Flow Analysis of Electrical Network Systems Using Gauss-Seidel Method and Python Anna Nur Nazilah Chamim; Karisma Trinanda Putra; Muhammad Fahrul Al Farisi
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
Design a Two-Axis Sensorless Solar Tracker Based on Real Time Clock Using MicroPython Karisma Trinanda Putra; Ahmad Zaki Arrayyan; Ramadoni Zaki Syahputra; Yoga Agil Pamungkas; Mosiur Rahaman
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.
Co-Authors Agung Mulyo Widodo Ahmad Zaki Arrayyan Anna Nur Nazilah Chamim Apriani, Yosi Cahya Darmarjati Faaris Mujaahid Faruliyan Arya Ferisnanda Febrian Dhimas Syahfitra Iswanto Iswanto Jusman, Yessi Maemonah, Maemonah Mosiur Rahaman Muhammad Fahrul Al Farisi Noor Pratama Apriyanto Prayitno Prayitno Ramadoni Syahputra Ramadoni Zaki Syahputra Rohmansyah Sunardi, Sunardi Suripto, Slamet Toha Ardi Nugraha Wiyagi, Rama Okta Yoga Agil Pamungkas