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All Journal Jurnal Transformatika JUITA : Jurnal Informatika Jurnal Pengabdian UntukMu NegeRI Jurnal Ilmiah Media Sisfo Jurnal Inovator Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Jurnal Manajemen Sistem Informasi Pengabdian Jurnal Abdimas Jurnal Informatika Polinema (JIP) Journal of Computer-based Instructional Media Jurnal Abdimas UM Jambi
Yaakub, Saleh
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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The Application of Na ve Bayes Classifier Based Feature Selection on Analysis of Online Learning Sentiment in Online Media Putra, Ryanda Satria; Agustin, Wirta; Anam, M. Khairul; Lusiana, Lusiana; Yaakub, Saleh
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.5144

Abstract

There are problems that still exist in online learning including limited-reach networks, inadequate facilities and infrastructure, and others. This study discussed the analysis of sentiment which used the Na ve Bayes Classifier (NBC) method with XGBoost feature selection as a performance improvement that took data from news portals. The results of this study showed that graph data on the application of online learning forms in Indonesia had a "Negative" opinion. Performance testing of the NBC method based on XGBoost feature selection was conducted four times. The first experiment resulted in an accuracy value of 60.18% with 50/50 split data. The next experiment had an accuracy value of 56.92% with 70/30 split data. After that, the third experiment resulted in an accuracy value of 65.90% with 80/20 split data. The result of the last experiment was an accuracy value of 63.63% with 90/10 split data. After using XGBoost feature selection, it produced an accuracy of 60.18%, 67.69%, 70.45%, and 77.27%. The study also produced the highest average score at 10-Fold Cross-Validation in the second trial with a score of 65.62%.
Optimizing library catalogue management using object-oriented e-catalogue application: A case study at Universitas Muhammadiyah Jambi Yaakub, Saleh; Windiarti, Ika Safitri; Pranoto, Wawan Joko
Journal of Computer-based Instructional Media Vol. 3 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v3i2.145

Abstract

The development of a comprehensive and efficient library catalogue system is essential for improving accessibility to information in modern educational environments. This research addresses the inefficiencies of manual cataloguing methods at Universitas Muhammadiyah Jambi’s library by proposing an Object-Oriented Programming (OOP)-based E- catalogue system. The system, developed using Visual Basic and Microsoft Access, streamlines the book-searching process, enhancing user access to book details such as authors, titles, and synopses. The system’s user-friendly interface supports features like search, administration, and data backup, improving both search efficiency and user satisfaction. This research contributes to the advancement of library management systems, demonstrating the potential of OOP-based design for future applications in similar academic institutions. Future research can build on this work by integrating machine learning techniques for personalized book recommendations and expanding the system's scalability.
Perancangan Robot Pemindah Balok dengan Menggunakan Wireless Berbasis Mikrokontroler AtMega 128 Saleh Yaakub
Jurnal INOVATOR Vol. 2 No. 1 (2019): Jurnal INOVATOR
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/inovator.v2i1.105

Abstract

his robot is designed to move beams correspond to the given instructions. It is made of wireless controlling devices. They are aimed to control any robot’s movements, and robots by themselves can work and move beams. These control devices are installed used both signal frequency with the appropriate control distance and wireless capability connected through microcontrollers. Users in this case can comprehensively alter the way robot works through this provided controlling devices
Co-Authors Adriamal, Indra Putra AGESHA MARSYAF Akbar, Zulfikri Aldri Frinaldi Anam, M Khairul Dani, Rian Dimas Syaputra Ediansa, Oka Ediansa, Oka Oka Etik Winarni, Etik Gustinar, Gustinar Hafiz Nugraha Hetty Rohayani Ika Safitri Windiarti Ilham Pahlevi Joko Pranoto, Wawan Joni Devitra, Joni Khairunnisa, Fiqa Kurniawansyah, Kevin Lusiana Lusiana Madhrozji, Tutuk Marsyaf, Agesha Muhammad Bambang Firdaus Muhammad Ikhsan Novi Yona Sidratul Munti Nugraha, Hafiz Pahlevi, Ilham Prianti, Rida Priyanti, Rida Putra, Iwan Eka Putra, Ryanda Satria Rafiezah Rizcha, Yasstyh Reza, Iqbal Fadhilah Saudina , Mira Wawan Joko Pranoto Wirta Agustin Zulfikri Akbar