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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Pendidikan Vokasi JOURNAL OF EDUCATION TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Educational Science and Technology ELINVO (Electronics, Informatics, and Vocational Education) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Penelitian Pendidikan IPA (JPPIPA) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Robotics and Control (JRC) Jurnal Masyarakat Madani Indonesia Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Journal of Information Engineering and Technology Journal of Information Technology and Education (JITED)
Handaru Jati
Universitas Negeri Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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ANALISIS PENERAPAN SISTEM INFORMASI AKADEMIK (SIAKAD) 2013 MENGGUNAKAN MODEL END-USER COMPUTING SATISFACTION (EUCS) DI PROGRAM STUDI PENDIDIKAN TEKNIK INFORMATIKA Jati, Handaru; Destiana, Bonita
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 1 No. 1 (2015): November 2015 (Consist of 9 Articles)
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.834 KB) | DOI: 10.21831/elinvo.v1i1.13229

Abstract

Penelitian ini bertujuan untuk mengetahui: (1) pengaruh content terhadap user satisfaction; (2) pengaruh accuracy terhadap user satisfaction; (3) pengaruh format terhadap user satisfaction; (4) pengaruh ease of use terhadap user satisfaction; (5) pengaruh timeliness terhadap user satisfaction. Penelitian ini merupakan penelitian ex-post facto, yang dilaksanakan di Program Studi Pendidikan Teknik Informatika. Teknik pengambilan sampel dengan  purposive sampling. Sampel yang diambil merupakan mahasiswa angkatan 2013 dan 2014 yang sudah menggunakan SIAKAD 2013 . Data diperoleh dengan kuesioner tertutup yang telah memenuhi persyaratan validitas  dan reliabilitas. Teknik analisis data yang digunakan adalah Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa: (1) content berpengaruh terhadap user satisfaction; (2) accuracy berpengaruh terhadap user satisfaction; (3) format berpengaruh terhadap user satisfaction; (4) ease of use berpengaruh terhadap user satisfaction; (5) timeliness berpengaruh terhadap user satisfaction.
ANALISIS KUALITAS SISTEM INFORMASI PANTAUAN PEMBENTUKAN KARAKTER SISWA DI SMK N 2 DEPOK SLEMAN Setiawan, Heru; Jati, Handaru
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 1 (2017): May 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.59 KB) | DOI: 10.21831/elinvo.v2i1.16427

Abstract

Tujuan dari penelitian ini adalah menjamin tingkat kualitas sistem informasi pantauan pembentukan karakter siswa agar tidak terjadi error serta menjamin fitur dan fugsionalitasnya dengan melakukan pengujian menggunakan standar ISO 25010. Pengujian dilakukan menggunakan 5 karakteristik pada standar ISO 25010 yaitu functional suitability, usability, reliability, performance efficiency, dan maintainability. Instrumen yang digunakan yaitu kuesioner fungsionalitas, USE Questionnaire, stress testing, load testing, dan maintainability index. Hasil dari penelitian ini adalah sistem informasi telah memenuhi standar ISO 25010 pada karakteristik functional suitability dengan nilai 1 (baik), karakteristik usability sebesar 85,3% (sangat layak) dan nilai alpha cronbach sebesar 0,944 (excellent), karakteristik reliability sebesar 100% (lolos), karakteristik performance efficiency sebesar 2,5 detik (diterima), dan karakteristik maintainability sebesar 100 (sangat mudah dirawat).
PENGEMBANGAN SISTEM INFORMASI MANAJEMEN PRAKTIK INDUSTRI DI JURUSAN PENDIDIKAN TEKNIK ELKTRONIKA UNY BERBASIS WEBSITE MENGGUNAKAN YII FRAMEWORK Subhan, Agung Rizki; Jati, Handaru
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 1 (2017): May 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.792 KB) | DOI: 10.21831/elinvo.v2i1.16635

Abstract

Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Manajemen Praktik Industri di Jurusan Pendidikan Teknik Elektronika Universitas Negeri Yogyakarta. Pengembangan dilakukan pada Juli 2016 sampai Desember 2016 di Jurusan Pendidikan Teknik Elektronika UNY. Pengembangan dilakukan dengan menggunakan model waterfall. Model waterfall terdiri dari analisis kebutuhan sistem, desain sistem, implementasi sistem dan pengujian sistem. Hasil dari penelitian ini adalah software Sistem Informasi Manajemen Praktik Industri di Jurusan Pendidikan Teknik Elektronika UNY berbasis web menggunakan Yii Framework. Fungsionalitas sistem diuji oleh 3 orang penguji yang masing masing menguji 52 fungsi. Dari pengujian tersebut, semua fungsi yang telah diuji dapat berjalan dengan baik. Sehingga, software yang dihasilkan telah memenuhi kebutuhan untuk mengelola pelaksanaan praktik industri.
EVALUASI KUALITAS APLIKASI MOBILE KAMUS ISTILAH JARINGAN PADA PLATFORM ANDROID DENGAN STANDAR ISO/IEC 25010 Jayanto, Rohmad Dwi; Jati, Handaru
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 2 (2017): November 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.623 KB) | DOI: 10.21831/elinvo.v2i2.17311

Abstract

Penelitian ini bertujuan untuk menguji aplikasi mobile kamus istilah jaringan komputer pada platform android menggunakan standar kualitas perangkat lunak ISO/IEC 25010 pada aspek functional suitability, compatibility, performance efficiency, danusability. Metode yang digunakan adalah research and development. Hasil dari penelitian ini menunjukkan bahwa aplikasi telah memenuhi standar ISO/IEC 25010 pada aspek (1) functional suitability seluruh fungsi dari aplikasi berjalan 100% yang artinya tidak ada fungsi yang gagal saat dilakukan pengujian, (2) compatibility aplikasi kompatibel 100% darisisico-existence, berbagai sistem operasi dan tipe perangkat yang digunakan untuk pengujian, (3) performance efficiency aplikasi berhasil dijalankan di 436 dari 452 perangkatuji AWS Device Farm. Aplikasi berjalan dengan baik tanpa terjadi memory leak yang mengakibatkan aplikasi dipaksa berhenti (force close). Time behaviour utilization rata-rata aplikasi 0,063 seconds/thread, CPU utilization aplikasi rata-rata 5%, memory utilization aplikasi rata-rata 19 MB, dan (4) pengujian usability aplikasimemperoleh 83,22% yang artinya aplikasi sangat layak dari sisi usability.
A Comparison of OpenNMT Sequence Model for Indonesian Automatic Question Generation Indrihapsari, Yuniar; Jati, Handaru; Nurkhamid, N.; Wardani, Ratna; Setialana, Pradana; Mahali, Muhamad Izzudin; Wijaya, Danang; Ardiansyah, Dhista Dwi Nur; Ardy, Satya Adhiyaksa; Tiala, Maria Bernadetha Charlotta Wonda; Al-khawarizmi, Andi Hakim; Ardiyanto, Widya
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.56491

Abstract

Evaluation of learners is a crucial aspect of the educational system. However, creating evaluation instruments is a process that demands teachers' time and energy. The researcher developed the Indonesia Automatic Question Generator in this study using an architecture modified from past studies. The primary goals of this project are (1) to construct an AQG tool utilizing the OpenNMT series and (2) to analyze and compare the model's performance. As a data source, this study employs the SQuAD 2.0 dataset and numerous sequence techniques, including BiGRU, BiLSTM, and Transformer. The researcher trained the models using OpenNMT-py and Google Collaboratory. This approach generates questions that are relevant to the context of the source. This study found that the model was acceptable.
Pengembangan Model Hybrid Arima-Machine Learning untuk Prediksi Harga Saham BCA Dwi Kurniawan, Prabowo; Dwi Surjono, Herman; Jati, Handaru
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 6: Desember 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025126

Abstract

Penelitian ini bertujuan untuk menganalisis kinerja metode hybrid antara algoritma machine learning dan model ARIMA dalam memprediksi harga saham Bank BCA selama lima tahun terakhir. Data yang digunakan berasal dari saham Bank BCA periode 13 November 2019 hingga 12 November 2024, diperoleh melalui Yahoo Finance. Dataset ini terdiri dari 1210 record dengan tujuh variabel: Date, Open, Close, High, Low, Volume, dan Adj Close. Pengujian dilakukan memodelkan data linier menggunakan ARIMA, kemudian memprediksi residual menggunakan algoritma machine learning yaitu KNN, Naïve Bayes, Logistic Regression, SVM, Random Forest, dan Gradient Boost. Selanjutnya Prediksi Akhir didapatkan dari penjumlahan Prediksi ARIMA dengan Prediksi Residual oleh Machine Learning. Hasil evaluasi menunjukkan bahwa model hybrid ARIMA–SVM memberikan performa terbaik dengan nilai MSE sebesar 13.341,72, MAE sebesar 89,69, dan MAPE sebesar 0,9078%. Model ini juga memiliki nilai korelasi (R) tertinggi sebesar 0,9785. Sementara itu, model ARIMA–Gradient Boosting juga menunjukkan performa yang kompetitif dengan MSE sebesar 14.126,60 dan MAPE sebesar 0,9434%. Temuan ini menunjukkan bahwa pendekatan hybrid efektif dalam meningkatkan akurasi dan kestabilan prediksi saham, serta dapat dijadikan alternatif yang unggul dalam analisis pasar keuangan berbasis data historis.   Abstract This study aims to analyze the performance of a hybrid method combining machine learning algorithms and the ARIMA model in predicting the stock prices of Bank BCA over the past five years. The data used were obtained from Yahoo Finance, covering the period from November 13, 2019, to November 12, 2024. The dataset consists of 1,210 records and includes seven variables: Date, Open, Close, High, Low, Volume, and Adjusted Close. The testing procedure involved modeling the linear component of the data using ARIMA, followed by predicting the residuals with machine learning algorithms, namely K-Nearest Neighbors (KNN), Naïve Bayes, Logistic Regression, Support Vector Machine (SVM), Random Forest, and Gradient Boosting. The final prediction was obtained by summing the ARIMA forecast with the residual predictions from the machine learning models. Evaluation results show that the hybrid ARIMA–SVM model delivered the best performance with an MSE of 13,341.72, MAE of 89.69, and MAPE of 0.9078%, along with the highest correlation (R) value of 0.9785. The ARIMA–Gradient Boosting model also demonstrated competitive performance with an MSE of 14,126.60 and a MAPE of 0.9434%. These findings indicate that the hybrid approach is effective in enhancing the accuracy and stability of stock price predictions and can serve as a promising alternative in historical data-based financial market analysis.
Optimization techniques for siting solar-powered EV charging stations: A systematic review and methodological classification Linda Faridah; Rustam Asnawi; Handaru Jati; Nurwijayanti Kusuma
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1355-1368

Abstract

Solar-powered electric vehicle (EV) charging stations are essential in advancing low-carbon transportation. However, determining optimal locations remains challenging due to spatial, technical, and environmental constraints. This systematic review, conducted under the PRISMA 2020 framework, synthesizes optimization techniques for siting solar-powered EV charging stations from 15 peer-reviewed studies published between 2016 and 2024. The reviewed methods are classified into five major categories: geographic information systems (GIS)-based spatial models, multi-criteria decision-making (MCDM) frameworks, hybrid approaches integrating fuzzy logic and GIS, heuristic/metaheuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO), and artificial-intelligence-based models for predictive site selection. GIS-MCDM hybrid approaches were the most prevalent, offering improved robustness in spatial decision-making. Nevertheless, the literature reveals persistent gaps, including limited empirical validation, insufficient use of real-time data, and weak integration with smart-grid planning. This review provides a structured methodological classification, highlights sustainability considerations, and outlines a research roadmap toward intelligent, data-driven, and sustainable EV infrastructure planning aligned with global energy-transition goals.
Efektivitas model blended learning terhadap motivasi dan tingkat pemahaman mahasiswa mata kuliah algoritma dan pemrograman Sarah Bibi; Handaru Jati
Jurnal Pendidikan Vokasi Vol. 5 No. 1 (2015)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.75 KB) | DOI: 10.21831/jpv.v5i1.6074

Abstract

Penelitian ini bertujuan untuk (1) mengetahui perbedaan motivasi dan tingkat pemahaman mahasiswa antara pembelajaran model blended learning dengan pembelajaran konvensional, dan (2) mengetahui peningkatan motivasi dan tingkat pemahaman mahasiswa akibat penerapan pembelajaran model blended learning. Jenis penelitian ini adalah quasi experimental. Populasi penelitian adalah mahasiswa semester 2 tahun ajaran 2013/2014 Program Studi Pendidikan Teknologi Informasi dan Komputer STKIP PGRI Pontianak yang berjumlah sebanyak 270 mahasiswa. Penentuan sampel menggunakan teknik purposive sampling berjumlah 156 mahasiswa. Pengumpulan data menggunakan tes soal berbentuk pilihan ganda dan angket, teknik analisis data yang digunakan adalah statistik parametrik uji-t dengan taraf signifikansi 0,05. Hasil penelitian ini menunjukkan bahwa (1) terdapat perbedaan motivasi belajar mahasiswa antara pembelajaran model blended learning dengan pembelajaran konvensional sebesar 5,782 dan terdapat perbedaan tingkat pemahaman sebesar 9,935 serta (2) ada peningkatan motivasi belajar mahasiswa akibat penerapan pembelajaran model blended learning rata-rata peningkatan 11,705 dan ada peningkatan pemahaman mahasiswa rata-rata peningkatan 30,288. THE EFFECTS OF BLENDED LEARNING MODEL ON THE STUDENT'S MOTIVATION AND UNDERSTANDING ON THE SUBJECT OF ALGORITHMS AND PROGRAMMINGAbstractThis research aims (1) to determine the differences in motivation and understanding level of the students between learning model of blended learning and the conventional, and (2) the improvement of students learning motivation and understanding due to the use of blended learning model .This research was a quasi-experimental. The population is the second semester students of the academic year 2013/2014 Study Program Computer and Information Technology Department of Teacher Training and Education PGRI Pontianak as many as 270 students. The selection of the sample of students was done using purposive sampling technique as many as 156 students. Collecting data using test multiple-choice and questionnaire, the data analysis techniques used were statistical parametric t-test with a significance level of 0.05. The results of the research show that (1) there is a difference in learning motivation of the students between learning model of blended learning and conventional learning of 5.782 and there is difference in the understanding level of the students of 9.935 and (2) there is an improvement in learning motivation of the students due to blended learning application with an average of 11.705 and there is an improvement in the understanding level of the student with an average of 30.288.
Pengembangan dan analisis kualitas aplikasi penilaian e-learning SMK berbasis ISO 19796-1 di Yogyakarta Ahmad Faiq Abror; Handaru Jati
Jurnal Pendidikan Vokasi Vol. 6 No. 1 (2016)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.857 KB) | DOI: 10.21831/jpv.v6i1.7623

Abstract

Penelitian ini bertujuan untuk: (1) menghasilkan aplikasi penilaian e-learning Sekolah Menengah Kejuruan (SMK) berbasis ISO 19796-1 yang dapat digunakan untuk mengevaluasi e-learning SMK di Yogyakarta menggunakan teknik Analitycal Hierarchy Process (AHP) dengan metode agregasi arithmetric mean dan geometric mean, (2) menguji kualitas aplikasi dengan menggunakan strandar ISO 9126. Penelitian ini merupakan penelitian Research and Development (R&D). Proses pengembangan aplikasi menggunakan metode  Software Development Life Cycle (SDLC) dengan model Waterfall. Selanjutnya pada proses pengujian kualitas aplikasi menggunakan standar ISO 9126 yang terdiri atas aspek functionality, reliability, efficiency, maintainability, usability, dan portability. Hasil penelitian menunjukkan bahwa aplikasi penilaian e-learning SMK berdasarkan ISO 19796-1 telah berhasil dikembangkan menggunakan metode Software Development Life Cycle (SDLC) dengan model waterfall. Selanjutnya hasil dari analisis kualitas aplikasi menggunakan standar ISO 9126 menunjukkan bahwa aplikasi mempunyai hasil rata-rata sangat baik dan layak digunakan untuk penilaian kualitas e-learning SMK. DEVELOPMENT AND QUALITY ANALYSIS OF THE ASSESSMENT APPLICATION OF E-LEARNING FOR VOCATIONAL SCHOOLS BASED ON ISO 19796-1 IN YOGYAKARTAAbstractThis research aimed to: (1) produce an application to asess e-learning based on ISO 19796-1 that can be used to evaluate e-learning for vocational schools in Yogyakarta using Analitycal Hierarchy Process (AHP) with the methods of aggregation arithmetric mean and geometric mean, and (2) to assess the quality of the system using ISO 9126 standard. This research used Research and Development (R&D) method. The development of the system implemented Software Development Life Cycle (SDLC) Waterfall model. Meanwhile, for testing the quality of the system, ISO 9126 standard was used, consisting of the aspects of functionality, reliability, efficiency, maintainability, usability, and portability. The result showed that the system has been successfully developed by using Software Development Life Cycle (SDLC) with a waterfall model. Further result from quality analysis of the system using ISO 9126 standard indicates that the average result of the system was very good and worthy of use for quality assessment of e-learning system for vocational schools.
Enhancing object detection for humanoid robot soccer: comparative analysis of three models Handaru Jati; Nur Alif Ilyasa; Yuniar Indrihapsari; Ariadhie Chandra; Dhanapal Durai Dominic
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 4: August 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i4.25906

Abstract

The humanoid robot soccer system encounters a notable challenge in object detection, primarily concentrating on identifying the ball and often neglecting crucial elements like opposing robots and goals, resulting in on-field collisions and imprecise ball shooting. This study comparatively evaluates three you only look once (YOLO) real-time object detection system variants: YOLOv8, YOLOv7, and YOLO-NAS. A dataset of 2104 annotated images, covering classes such as ball, goalpost, and robot, was curated from Roboflow and robot-captured images. The dataset was partitioned into training, validation, and testing sets, and each YOLO model underwent extensive fine-tuning over 100 epochs on this custom dataset, leveraging the pre-trained common objects in context (COCO) model. Evaluation metrics, including mean average precision (mAP) and inference speed, assessed performance. YOLOv8 achieved the highest accuracy with a mAP of 0.92, while YOLOv7 showed the fastest inference speed of 24 ms on the Jetson Nano platform. Balancing accuracy and speed, YOLO-NAS emerged as the optimal choice. Thus, YOLO-NAS is recommended for object detection for humanoid soccer robots, regardless of team affiliation. Future research should focus on enhancing object detection through advanced training techniques, model architectures, and sensor fusion for improved performance in dynamic environments, potentially optimizing through scenario-specific fine-tuning.
Co-Authors Agustan Latif Ahmad Faiq Abror Al-Khawarizmi, Andi Hakim Alim Tegar Wicaksono Ananda Mukhammad Ikhsan Andri Yuwanto Annurdien Rasyid Antoni Pribadi Ardiansyah, Dhista Dwi Nur Ardiyanto, Widya Ardy, Satya Adhiyaksa Ariadhie Chandra Basorudin Basorudin Bayu Nur Rahman Eswantoro Bonita Destiana Bunga Anindita Pramono Cahyana, Cecep Wahyu Danang Wijaya Dhanapal Durai Dominic Dhista Dwi Nur Ardiansyah Dhista Dwi Nur Ardiansyah Dominic, Dhanapal Durai Dwi Kurniawan, Prabowo Effendi Dodi Arisandi Eko Marpanaji Fadly, Hawangga Dhiyaul Faridah, Linda Feisal Dharma Yuda Gagas Akar Ilalang Herman Dwi Surjono Heru Setiawan Hung, Hui-Chun Ilyasa, Nur Alif Jayanto, Rohmad Dwi K. N. Nurwijayanti M.H. Faais Al Furqoon Mahali, Muhamad Izzudin Mani Yusuf Marwan Efendi Muhamad Ali Kasri Muhammad Arisandy Rizky Muhammad Yarjullah Hanif Nur Alif Ilyasa Nurkhamid Nurkhamid Nurkhamid, N. Nurlansa, Osiany Nurwijayanti Kusumaningrum Pahtoni, Tri Yuli Pawitra, Mahendra Astu Sanggha Puput Dani Prasetyo Adi Qotrunnada, Dafa Zenita Rachelita Embun Safira Ratna Wardani Reny Kartika Ningtyas Rheisan Firnandatama Rizky Satria Rustam Asnawi Saputra, Apry Aditya Sarah Bibi Satria Riki Mustafa Satya Adhiyaksa Ardy Sayud, Sunthon Setialana, Pradana Siti Fadhilah Subhan, Agung Rizki Sukarni, Jaka Susilo Romadhon Tiala, Maria Bernadetha Charlotta Wonda Wajar Novianto Wijaya, Danang Wulandari, Catur Nur Agustina Yosep R. Silaban Yuniar Indrihapsari