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Educational Technology For Digital Learning : A Bibliometric Analysis Sumarsono, Sumarsono; Husna Nur Syifana, Najwa
MANAGERIA: Jurnal Manajemen Pendidikan Islam Vol. 10 No. 2 (2025)
Publisher : Prodi Manajemen Pendidikan Islam FITK UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/manageria.2025.102-03

Abstract

This study aims to analyze the evolution of research in the field of educational technology using a bibliometric approach based on Scopus data. From an initial dataset of 9,783 articles, a systematic selection process using the PRISMA protocol narrowed the focus to 29 relevant articles for in-depth analysis. Utilizing VOSviewer software, the study explores keyword trends, co-authorship networks, and institutional as well as national affiliations involved in the field. The analysis reveals a growing interest in topics such as artificial intelligence, virtual reality, e-learning, and bibliometric methods within educational technology. In addition, the study identifies leading contributing countries, prominent research institutions, and highly cited papers. These findings provide a comprehensive overview of the recent developments in educational technology research. The implications of this study are expected to offer valuable insights for researchers and stakeholders in identifying research gaps and designing future research agendas that are more aligned with current technological and educational advancements.
Analisis Efektivitas Fusi Fitur Multimodal dalam Klasifikasi Citra Daun Herbal Riyandi, Riki; Sumarsono, Sumarsono
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 3 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i3.12262

Abstract

This study aims to evaluate the performance of leaf image classification models based on feature fusion strategies that integrate shape, texture, and semantic representations. Three feature extraction methods were employed: Histogram of Oriented Gradients (HOG) for shape, Gabor Filter for texture, and Convolutional Neural Network (CNN) using MobileNetV2 for semantic features. Each feature type was tested using three classification algorithms: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF). Experimental results show that CNN features consistently outperformed the others, achieving the highest accuracy and F1-score, with a peak accuracy of 91.0% using CNN+SVM. In contrast, HOG and Gabor features resulted in significantly lower performance. Feature fusion—such as HOG+CNN and HOG+Gabor+CNN—did not improve performance and instead caused a notable decline, primarily due to the high dimensionality of HOG features, leading to the curse of dimensionality. Confusion matrix and ROC curve analyses confirmed that the CNN-based model achieved high inter-class separability, while models with fused features produced near-random predictions in several classes. These findings suggest that feature fusion does not inherently lead to better classification performance, particularly when dimensional imbalance is not addressed. The study recommends the use of single semantic features extracted from CNN for efficient and accurate leaf image classification, while also encouraging future research into adaptive fusion strategies such as feature weighting or multimodal integration.
Pengendalian Persediaan Bahan Baku Terhadap Kelancaran Proses Produksi Pada UD Tiga Berlian Dengan Metode Material Requirement Planning Firmansyah, Muhammad Irfan; Sumarsono, Sumarsono
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.53985

Abstract

UD Tiga Berlian is a company engaged in the food industry.Based on sales data, the Decomposition method is the best forecasting method because it has the lowest MAPE, MAD and MSD values. Therefore, researchers can conclude that sales for the last 12 months, namely January to December 2025, were 12723, 10006, 11703, 10708, 13219, 12723, 10006, 11703,10708, 13219, 12723,10006 kg. The final process to obtain raw material requirement data is to create an MRP report using the EOQ technique. In 2025, namely in brown sugar material, a total of 48,583 kg is needed, sago flour requires 53,823 kg, wheat flour requires 27,049 kg, salt 693 kg, shrimp 2,786 kg, fish 6,819 kg. This report is a comprehensive report on the optimal raw material requirements for petis products. With this MRP method, the company can provide raw materials
Bandwidth Prediction in Zoom Meetings: A Mathematical Model Based on Feature Configuration Analysis Cahyono, Andi; Nuruzzaman, Muhammad Taufiq; Sugiantoro, Bambang; Sumarsono, Sumarsono
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.2026.7.3.4138

Abstract

Video conferencing applications such as Zoom Meeting require sufficient and stable bandwidth to maintain communication quality. However, bandwidth needs often vary depending on user configurations, including video resolution, audio bitrate, and content-sharing activity. This study aims to develop a mathematical formula capable of accurately estimating bandwidth requirements for Zoom Meeting sessions. The methodology combines quantitative experiments and numerical simulations by collecting throughput data using Wireshark, analysing feature-based parameter variations, and validating the proposed formula through MATLAB simulation. Data were obtained from multiple Zoom sessions executed under controlled conditions with different feature combinations and replicated twenty times to ensure accuracy. The validation results show that the formula consistently provides realistic and stable estimations when compared with actual throughput measurements and simulation outcomes. The proposed model offers a simple yet effective tool for predicting bandwidth requirements, supporting efficient network capacity planning, and enhancing the overall performance of video conferencing environments.
Co-Authors A Setiadi, A Adriani Darmawati Ahmad Zamzami Alfi Rachmansyah Andi Cahyono Anisa Widiawati Anton Setiawan Honggowibowo Ardhiansyah, N. Arizald Gobel, Mario Agapito As-Syafiq, M.M. Asmoro, Zherlin Astogini, Dwiwiyati Atisina, Supardi Ayu N.F.A, Fatma Bagus Pratama, Endyatna Puthut Bambang Sugiantoro Bambang W.H.E Prasetiyono, Bambang W.H.E C. I. Sutrisno Cahyadi, Apdian Cahyo, B.A.W.N. Civic Julian Pradewa D. Fatchullah D.W. Widjajanto D.W. Widjajanto D.W. Widjayanto Deden Fatchullah Dedytha Nur Annisa Desyandri Desyandri Devi Permatasari Didik Wisnu Widjajanto Dwi Nugraheny, Dwi Dwita Darmawati E. Pangestu E.D. Purbajanti E.D. Purbajanti Eko Pangestu Elizabeth Nurmiyati Tamatjita Endang Dwi Purbajanti Ersyada, Azza Ibraisama Evy Kusumaningrum F. Kusmiyati Fachrurrohman, Rozi Arfin Fathurrahman, Muhammad Ikhsan Fiona Fajarditta Firanti, Annisa Firmansyah, Muhammad Irfan Firnanda, Zulfa Imudadiyah Florentina Kusmiyati Freddy Gena Ghufron, Subhan Girsang, Agus Fryaldo Hakiki, Kharisma Nur Hamdi Mayulu Handoyo Handoyo Hardandrito, Awan Gumilang Harun, Herlinda Mahdania Hazna Zafira Zafira Heni Irawati Hesti Reva Helva Ari Zahmi Hidayatullah, Syamsul Holyness Nurdin Singadimedja Hu Hong-Qing Husna Nur Syifana, Najwa Ibrahim, Anam Ida Ayu Putu Sri Widnyani Imani, Wulan Hasnada Indriati, Suci Ita Wulandari Jiang Guanjie Jumiati Jumiati K. Karno Karno Karno Khairunnisa, Arawinda Khoirina Lathifa, Ni’ma Kodari, Muhamad Latif, Hanif Abdul Limbang K. Nuswantara, Limbang K. Lukiwati, D.R.Lukiwati Mafazan, Mukhamad Richo Mahmud, Muhammad Bahaudin Mawaddah, Putri Riayatul Maya Suhayati Mayasari , Andhika MESRA MESRA, MESRA Minto, Minto Muflihah, Nur Muh Nur Aslam Muh. Fahrurrozi Musdalifah Musdalifah Musdalifah, Indah N. Ardhiansyah Novianto, Kurnia Rizki Novrianto, Novrianto Nudin, Salamun  Rohman Nugraha, Fadhil Adi Nugraha, Wahyu Fitrayanto Nurahmanto, Hendra Nurcahyani Dewi Retnowati Nurhadi Nurullah, Bahar Nuruzzaman, Muhammad Taufiq Pamungkas, Suryo Bintang Praditya, Intan Puguh Jati Nugroho Purwoko, Agus Putri Utami, Anifah Radja Aura Ramadhan, Tengku Rahmawan, Sulung Rahmawati, Levianita Razin, Muhammad Rejeki, Wahyu Andi Ridhayani, Ridhayani Rifaya Dania Sari Risna Wati Riyandi, Riki Roudhotul Jannah Rudiarto, Ari S. Anwar Sabrina, Alya Salsabila, Khairiah Sembiring, Rinawati Septianto, Rivcky Siswahyudianto Sri Murni Setyawati Subandi Subandi Sudjatmogo Sudjatmogo Sunarso . Surahmanto Susetyaningsih, Retno Susilo Budiyanto suswati suswati Sutardi Sutardi Sutarno Sutarno Sutarno Sutarno Sutarwadi Sutarwadi, Sutarwadi Syafe’I, Imam Syaka, Annisa Khodista Thanesya, Attria Thaqibul Fikri Niyartama Tirta, Akbar Maulana Titik Ekowati Totok Yulianto Turrini Yudiarti Ulhaq, M. Naufal Usmanan, Indra Viata Rahmawati Vicky Dwi Wicaksono Widiyanto Widiyanto Widya Yolanda Widyati Slamet Wintolo, Hero Y. Liani Yayat Giyatno, Yayat Yogi Mustajab, Achmad Yuana, Budy Rolly Yuliani Indrianingsih Zakiya, ana Tsurayya