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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Sinus Indonesian Journal of Business Intelligence (IJUBI) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Innovative: Journal Of Social Science Research Jurnal Abdimas Terapan TOFEDU: The Future of Education Journal The Eastasouth Journal of Information System and Computer Science Journal Emerging Technologies in Education Journal of Moeslim Research Technik
Iwan Ady Prabowo
STMIK Sinar Nusantara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Implementation of the Promethee Algorithm to Improve Data Accuracy in a Scholarship Selection Information System Halimah, Diana Nur; Hasbi, Muhammad; Prabowo, Iwan Ady
Jurnal Ilmiah SINUS Vol 22, No 2 (2024): Vol. 22 No. 2, Juli 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v22i2.815

Abstract

The scholarship selection process at X University has traditionally relied on manual methods, primarily focusing on the highest GPA, which often leads to financial constraints and potential biases. This research aims to address these issues by improving the selection process for scholarship admissions using the Promethee method. By introducing new criteria such as residence status, parental education, employment status, income, home ownership, number of dependents, and life score, the study seeks to provide a more comprehensive and fair assessment. Data collection methods include observation, interviews, and literature study to understand the concept of scholarship selection. The research applied the Promethee algorithm to 20 students who received scholarships from Panasonic in 2023. Confusion matrix analysis showed an accuracy level of 50%, with a precision value of 100% and a recall value of 50%. Despite the need for improved accuracy, it is hoped that the Promethee method can help the X University Student Agency determine fairer and more efficient scholarship selections. This research is expected to contribute positively to improving the scholarship selection process at X University with a focus on efficiency and fairness.
Trends in Digital Twin Technology for Industry 4.0: A Bibliometric Study Judijanto, Loso; Qadriah, Laila; Prabowo, Iwan Ady; Widyatmoko, Widyatmoko; Sabila, Puji Chairu
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.382

Abstract

Digital Twin (DT) technology has emerged as a critical enabler of Industry 4.0, bridging the physical and digital worlds through real-time data integration, simulation, and optimization. This study conducts a comprehensive bibliometric analysis to explore the research trends, key contributors, and thematic clusters in DT research over the past decade. The analysis reveals China's leading role in DT research, supported by strong international collaborations with the United States, Germany, and other countries. Key themes include technological enablers such as IoT, sensors, and infrastructure, as well as emerging applications in sustainability, smart cities, and energy systems. Challenges such as risks, uncertainties, and feasibility constraints remain significant barriers to DT adoption, highlighting the need for interdisciplinary collaboration and standardization efforts. The study identifies opportunities for integrating DT with technologies like blockchain and AI, as well as expanding applications in healthcare and agriculture. These findings provide valuable insights for researchers, practitioners, and policymakers to advance DT technology and its transformative potential in Industry 4.0.
Physical Education in the Era of Artificial Intelligence: The Impact of AI Technology on Enhancing Sports Learning in Schools Fauzi, Muhammad Sukron; Yantiningsih, Erna; Judijanto, Loso; Prabowo, Iwan Ady
The Future of Education Journal Vol 4 No 4 (2025)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i4.487

Abstract

This study aims to examine the impact of Artificial Intelligence (AI) technology in enhancing physical education learning in schools, with a focus on the application of AI in physical education. AI technology has begun to be implemented in various aspects of sports education, ranging from tracking students' physical activities to providing more personalized feedback. The literature review reveals that this technology can assist in monitoring students' performance more thoroughly and offer training programs tailored to individual physical abilities. Several studies reviewed, such as by Smith et al. (2020), show that the use of AI can improve students' physical skills by providing real-time feedback and more accurate training personalization. However, the implementation of AI technology also faces several challenges, such as inadequate technological infrastructure, limited training for teachers, and concerns related to student data privacy. Nonetheless, this study emphasizes that with proper support, AI technology can become a highly effective tool to enhance sports education in schools. Recommendations are made to strengthen teacher training, improve technological infrastructure in schools, and ensure appropriate policies for student data usage.
Digitalisasi Pengarsipan Surat Berbasis Web di Desa Sidowayah Wijayanto, Bagoes Syukron; Kurniawan , Angga Eka; Nugroho, Muhammad Ghifari; Wijayanto , Hendro; Utami, Yustina Retno Wahyu; Raharja , Bayu Dwi; Iwan Ady Prabowo
Jurnal Abdimas Terapan Vol. 4 No. 2 (2025): JURNAL ABDIMAS TERAPAN (MEI)
Publisher : Program Vokasi Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jat.v4i2.76

Abstract

Pengarsipan surat merupakan hal penting sebagai sumber informasi guna mendukung proses administrasi. Pengelolaan surat masuk dan surat keluar di Kantor Pemerintah Desa Sidowayah belum menggunakan aplikasi, yakni hanya mengandalkan pencatatan pada buku. Pengelolaan surat dengan cara penyimpanan secara manual sering mengalami kesalahan dalam penyimpanan data dan pencarian surat. Banyaknya surat masuk dan surat keluar yang diterima oleh Kantor Desa Sidowayah memerlukan aplikasi yang dapat membantu kinerja terkait surat-menyurat. Pengarsipan surat meliputi catatan surat masuk dan surat keluar yang diterima maupun yang dikirim. Oleh karena itu, sangat diperlukan adanya aplikasi pengarsipan surat yang dapat mengubah cara penyimpanan surat dengan cara mengurangi penggunaan kertas (paperless). Untuk mendukung pemerintah desa dalam rangka digitalisasi layanan kepada masyarakat, akan dibangun aplikasi untuk digitalisasi pengarsipan surat di Kantor Desa Sidowayah. Aplikasi yang dibuat merupakan aplikasi berbasis web menggunakan bahasa pemrograman PHP. XAMPP digunakan untuk menjalankan web servernya, dan MySQL untuk pengelolaan database. Aplikasi telah disosialisasikan kepada perangkat desa. Berdasarkan umpan balik dari pengguna, aplikasi dapat mudah digunakan dan memenuhi kebutuhan dalam pengarsipan surat di kantor desa.
Pemanfaatan Media Youtube Channel Untuk Mendukung Pembelajaran Elektronik Learning pada Mata Kuliah Teknologi Pendidikan Vanchapo, Antonius Rino; Halik, Abdul; Arifin, Nofri Yudi; Pahmi, Pahmi; Prabowo, Iwan Ady
Innovative: Journal Of Social Science Research Vol. 3 No. 5 (2023): Innovative: Journal of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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

Abstract

Penelitian ini memiliki tujuan untuk menjelaskan cara memanfaatkan media YouTube Channel sebagai sarana pendukung dalam pembelajaran elektronik (e-learning) di mata kuliah Teknologi Pendidikan. YouTube Channel sudah menjadi salah satu platform yang populer dipergunakan dalam pendidikan online. Kajian ini menginvestigasi efektivitas penggunaan YouTube Channel dalam konteks pembelajaran Teknologi Pendidikan. Metode penelitian yang dipergunakan ialah analisa literatur dan konten. Hasil penelitian memperlihatkan jika YouTube Channel bisa menjadi alat yang sangat efektif dalam mendukung pembelajaran Teknologi Pendidikan. Kelebihannya mencakup aksesibilitas yang luas, fleksibilitas dalam penyampaian materi, serta kemampuan untuk menggabungkan berbagai jenis media seperti video, presentasi, serta diskusi interaktif. Mahamahasiswa melaporkan jika mereka merasa pembelajaran melalui YouTube Channel lebih menarik dan mudah dipahami dibandingkan dengan metode tradisional. Penggunaan media YouTube Channel bisa menjadi aset berharga dalam konteks pembelajaran Teknologi Pendidikan. Namun, perlu ada upaya berkelanjutan untuk mengembangkan serta meningkatkan penggunaan YouTube Channel supaya bisa mendukung pembelajaran yang lebih efektif dan bermanfaat.
Development of Artificial Intelligence-Based Robots for Rescue Tasks at Disaster Locations Waahib, Achmad Nashrul; Prabowo, Iwan Ady; Kusnadi, Kusnadi; Pribadi, Antoni; Amir, Syafiq
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1929

Abstract

The increasing frequency of natural disasters highlights the urgent need for efficient rescue operations. Traditional methods often face limitations in accessing hazardous areas, making the development of intelligent robotic systems essential for enhancing rescue efforts. This research focuses on creating an AI-based robot specifically designed for search and rescue tasks in disaster-stricken locations. The primary aim of this study is to develop a robotic system that utilizes artificial intelligence to navigate complex environments, identify survivors, and deliver essential supplies. The research seeks to evaluate the robot's effectiveness in real-world scenarios and its potential to improve response times during emergencies. A systematic approach was employed, combining hardware design and software development. The robot was equipped with advanced sensors, machine learning algorithms, and autonomous navigation capabilities. Field tests were conducted in simulated disaster environments to assess the robot's performance in detecting obstacles, locating victims, and executing rescue tasks. The AI-based robot demonstrated a 90% success rate in locating simulated survivors and effectively navigating through obstacles. Response times were significantly reduced compared to traditional methods, showcasing the robot's potential to enhance rescue operations in real emergencies. This research successfully developed an AI-driven robotic system for search and rescue tasks, demonstrating its effectiveness in improving operational efficiency.
IMPLEMENTASI MODEL WATERFALL DAN PENGUJIAN SYSTEM USABILITY SCALE (SUS) PADA PEMBUATAN WEBSITE PROGRAM STUDI INFORMATIKA BERBASIS WORDPRESS Wijayanto, Hendro; Kumarahadi, Yovita Kinanti; Prabowo, Iwan Ady
Indonesian Journal of Business Intelligence (IJUBI) Vol 6 No 1 (2023): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v6i1.3375

Abstract

Information technology is currently developing very rapidly. Especially after the Covid-19 Pandemic which makes activities and work done online. Communication allows the exchange of information between users and recipients. The Informatics Study Program is one of the study programs at STMIK Sinar Nusantara Surakarta. Currently there are no special services available as a medium for delivering information for students and the wider community. So it is necessary to have a website that is useful for conveying information related to the activities of the Informatics Study Program. One of the widely available Content Management System is WordPress. In this study, the design and construction of a WordPress-based study program website uses the Waterfall model. Which stages in the Waterfall model consist of needs analysis, system design and software design, design and development, implementation, testing and maintenance. In the testing phase, the System Usability Scale (SUS) model is used to test the usability level or usability of the website. The test results show the usability level in the precentile ranks of 91.6%. With the category of being included in the class A scale or letter grades level and having an adjective rating level of BEST IMAGINABLE or ACCEPTABLE in the acceptability ranges. This assessment is based on 40 respondents consisting of Education Personnel, Lecturers, Students and the General Public.
Evaluating Steganography Detection in JPEG Images Using Gaussian Mixture Model and Cryptographic Keys Saputro, Indrawan Ady; Nugraha, Febrianta Surya; Sugiarto, Lilik; Prabowo, Iwan Ady
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.6084

Abstract

This study introduces a novel approach that integrates Gaussian Mixture Models (GMM) with MD5 hash-based verification to detect hidden messages embedded via Least Significant Bit (LSB) steganography in JPEG images. Unlike previous methods, the proposed dual-layer technique combines probabilistic modeling with data integrity verification. The model was trained and evaluated using a dataset comprising both original and stego-JPEG images. The experimental results achieved an accuracy of 78.67% and a precision of 89.15%, indicating good class separation between stego and non-stego images (AUC-ROC = 0.8659). However, the recall rate of 69.70% suggests that there is room for improvement in detecting all stego instances. Although MD5 is a hash function rather than an encryption algorithm, it effectively aids in identifying data anomalies resulting from message embedding. Overall, this lightweight approach offers a practical solution for steganalysis and can be further enhanced through the integration of hybrid deep learning techniques in future research.
Co-Authors Abdul Halik Agus Budhi Marendra Aji Pratama Wisnu Wardana Amir, Syafiq Arief Gilang Ramadhan Arifin, Nofri Yudi Bayu Dwi Raharja Bela Septiana Didik Nugroho Dwi Remawati Fauzi, Muhammad Sukron Febrianta Surya Nugraha Fryda Fatmayati Halimah, Diana Nur Hamsiah, Andi Hendro Wijayanto Hendro Wijayanto Heradi, Ade Miraldha Judijanto, Loso Kumarahadi, Yofita Kinanti Kumarahadi, Yovita Kinanti Kurniawan , Angga Eka Kusnadi Lilis Wulandari Mas'ud Muhammadiah Muhammad Hasbi MUHAMMAD HASBI Nugroho, Muhammad Ghifari Nungky Kurnia Candra Pahmi Pahmi paulus harsadi Pribadi, Antoni Qadriah, Laila Raharja , Bayu Dwi Riski Lunika Parmawati Riza Riza Sabila, Puji Chairu Saptomo, Wawan Laksito Yuly Saputro, Indrawan Ady Setiyowati Sri Siswanti Sugiarto, Lilik Sujud Aji Wantoro Teguh Susyanto Tulus Wahyuno Vanchapo, Antonius Rino Waahib, Achmad Nashrul Wahyudi Wahyudi Wawan Laksito YS Widyatmoko Widyatmoko Wijayanto , Hendro Wijayanto, Bagoes Syukron Wijayanto, Hendro Yantiningsih, erna Yohan Alief Rizaldy Yustina Retno Wahyu Utami, Yustina Retno Wahyu