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All Journal ELKHA : Jurnal Teknik Elektro SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Elektro JTT (Jurnal Teknologi Terpadu) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JURNAL CRANKSHAFT Specta Journal of Technology Jurnal Teknik Elektro dan Komputasi (ELKOM) Innovative: Journal Of Social Science Research PIKAT
Aprillia, Happy
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Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : Specta Journal of Technology

 1 
Forecasting Error Modelling for Improving PV Generation Prediction Aprillia, Happy; Yang, Hong-Tzer
SPECTA Journal of Technology Vol 2 No 1 (2018): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v2i1.92

Abstract

Accurate forecasting of Photovoltaic (PV) generation output is important in operation of high PV-penetrated power systems. In this paper, an adaptive uncertainty modelling method for forecasting error is proposed to improve the prediction accuracy of PV generation. The proposed method models the uncertainty in forecast data using Kernel Density Estimator and guarantee the provision of accurate expected value. Neural Network model is then constructed by the developed uncertainty model to forecast the PV output. The actual confidence level is traced within the day and injected as an input to the Neural Network model by observing the Mean Absolute Prediction Error (MAPE) and Unscaled Mean Bounded Relative Absolute Error (UMBRAE). The proposed method is tested with various significant changes of weather condition and proved to have promising performance on PV generation forecasting. Thus, the developed adaptive uncertainty model can be further used in power system planning that have high-penetration energy sources with stochastic behavior.
Perancangan Kebijakan Sistem Ketenagalistrikan Kawasan Institut Teknologi Kalimantan Aprillia, Happy; djafar, alfian; Filiana, Firilia
SPECTA Journal of Technology Vol. 7 No. 3 (2023): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v7i3.633

Abstract

The Kalimantan Institute of Technology (ITK) already has 17 study programs and 3002 active students until 2021 and is projected to have 20 study programs by 2025. However, geographical location of ITK affect ITK facilities readiness that later supporting tridharma activities to be carried out perfectly. The Mechanical, Electrical and Plumbing System (MEP) at the ITK Campus needs to be designed with a sustainable design in order to accommodate the needs of electricity, sound, air conditioning, clean water, and dirty water on the ITK Campus until 2025. This study aims to design a sustainable MEP design for distribution of electricity especially in lightning protection in order to meet the characteristics of safe, reliable and appropriate design. The stages involved include 8 (eight) processes, namely: 1) data collection and design of the existing MEP, 2) projecting the growth of the academic community and equipment needs until 2025, 3) reviewing the existing MEP system as the existing protection system, 4) calculation of the suitability of the existing MEP system based on projected needs, SNI and SPLN, 5) planning for improvement of existing systems and plans for developing MEP systems, 6) making working drawings of the MEP system, 7) drafting Bill of Quantity MEP, and 8) MEP budgeting. This research is expected to produce output in the form of MEP planning drawings that are recommendation of detailed engineering design which are documented in strategic policies through the rector's regulation. This research is aimed to be used as a reference for MEP design for ITK development in the future development.
Implementasi Sensor Inertial Measurement Unit untuk Sistem Odometri Kendaraan Otonom Nursyeha, Muhammad Agung; Saputra, Riza Hadi; Aprillia, Happy; Irwansyah, Fazri Rahmadi
SPECTA Journal of Technology Vol. 7 No. 2 (2023): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v7i2.784

Abstract

Odometry enables a moving object to be estimated its position. Odometry is the determination of the movement of a vehicle based on sensor data taken periodically. Positioning is needed in decision making in autonomous vehicles. Accurate positioning can result in making the right decisions in autonomous vehicles, resulting in safe operations on the traffic. Odometry on vehicles generally uses wheels that are connected to an encoder. Through this system, errors in determining position are accumulated due to loss of traction between the wheels and the road. An odometric system that does not require contact with the road is required to reduce mechanical losses due to slip. In this study, an odometric system is proposed that measures vehicle displacement based on the vehicle acceleration measured periodically. To measure vehicle acceleration, the odometry system is equipped with an IMU sensor. ARM-based microcontroller is used to acquire acceleration data and perform displacement calculations. Vehicle displacements are estimated using Kalman Filter. This research discusses the performance of using the IMU sensor for the odometry system through experiments. Based on the tests that have been carried out, the resulting accuracy of the proposed odometry system reaches 63.7%.
Co-Authors Achmad Baihaqi Akmal, Abiyyu Ananda, Ryan Anestesia Purba, Arini Anifah, Eka Masrifatus Annisa Wardhani Arrizal, Daffa Akmalludin Augusto, Hengky Barokatun Hasanah, Barokatun Basransyah, Basransyah Devy Setiorini Sa’adiyah Djafar, Alfian Fadhillah, Muhammad Hakim Falah, Jericho Al Farid, Mifta Nur Fatimatuz Zahrah, Annisa Felecya Sitinjak, Joyce Filiana, Firilia Giyantara, Andhika Hakiky, Rizal Muhammad Hamzah, Muhammad ilham hasby Haryono, Hadhimas Dwi Hudayana, Nurul Irwansyah, Fazri Rahmadi Jaya, Asma Kartika Nugraheni Khairunnisa Ariani, Ismi Kholiq Deliasgarin Radyantho Mahardhika, Arya Malau, Kevin Joshwadi Martin Sinambela, Johannes Mochammad Imron Awalludin Muhammad Agung Nursyeha, Muhammad Agung Muhammad Iqbal Natanael, Sergius Nugraha, Muhamad Alif Ondi, Daniel Rahman, Shafera Maulana Ramadhani, Sajri Riza Hudayarizka Rozul Faza, Muhammad Samsu Dlukha N Saputra, Riza Hadi Sari, Aisyah Saroh Qarini, Ayuk Septianto, Oik Soraya, Ananda Sugiarto, Kharis Sutejo, Arya Golong Thorikul Huda Wahyu Yusariarta Putra Parmita, Ade Waskito, Indra Budi Widayat, Ifan Awang Riski Wiratmoko, Eka Yoga Yang, Hong-Tzer Yuserby, Muhammad