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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Manajemen Atma Jaya Jurnal Ilmiah FIFO Jurnal Penelitian Pendidikan IPA (JPPIPA) SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JUKANTI (Jurnal Pendidikan Teknologi Informasi) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Pengabdian Nasional (JPN) Indonesia JNANALOKA Journal of System and Computer Engineering AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Jurnal Manajemen Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Internet of Things and Artificial Intelligence Journal International Journal of Multidisciplinary Sciences and Arts Proceeding Applied Business and Engineering Conference Amare Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Jurnal Sains dan Ilmu Terapan Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan Guruku: Jurnal Pendidikan dan Sosial Humaniora Journal of Engineering Science and Technology Management Jurnal Elektronika dan Teknik Informatika Terapan Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Dinamika Publik: Jurnal Manajemen dan Administrasi Bisnis Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Pengabdian Nasional (JPN) Indonesia Science and Technology: Jurnal Pengabdian Masyarakat Economic: Journal Economic and Business Inovasi Teknologi Masyarakat Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat
Am, Andri Nofiar
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Journal : Internet of Things and Artificial Intelligence Journal

 1 
Career Prediction of Informatics Engineering Alumni Using Naïve Bayes Algorithm Nurkholis, Nurkholis; Am, Andri Nofiar.
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.897

Abstract

Alumni are an important part of education, especially in higher education where alumni can be a reference for the quality of the majors, the more alumni graduates who can get jobs in accordance with their majors, the better the teaching and learning process in the majors, but if the opposite happens, the university needs to evaluate the teaching and learning process so that the students produced can keep up with the times, during the process of finding work in accordance with the alumni's majors. Uin Suska Riau informatics engineering alumni are no exception where analyzing alumni careers is important to be able to improve the quality of Uin Suska Riau in producing alumni who are able to compete in the future. The Naïve Bayes algorithm is a branch of machine learning that can make predictions using classification techniques in predicting the career data of informatics engineering alumni. In the study there was alumni data to carry out the prediction process on career suitability with majors using 275 data and divided into training data and testing data resulting in an accuracy of 75%.
Implementation of the MDLC Method in the Development of Android-Based Augmented Reality for Traditional House Recognition Am, Andri Nofiar; Pribadi, Antoni; Nurkholis, Nurkholis; Perdana, M.Alkadri; Rukhshah, Muhammad
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.903

Abstract

Indonesia has a rich cultural diversity, one of which is traditional houses (rumah adat). However, learning about traditional houses is still largely based on textbooks. With the advancement of information and communication technology, teaching and learning processes can now be supported by interactive learning media. One of the emerging technologies that is widely used in education is Augmented Reality (AR). AR can display 3D animations from all angles, helping to increase public interest in learning more about Indonesia’s diverse traditional houses. The purpose of this research is to develop an Android-based Augmented Reality application for introducing traditional houses in Indonesia as a learning medium. This application aims to provide users convenience in learning, and seeing various types of houses there. The method used is the Multimedia Development Life Cycle (MDLC) which consists of a concept, design, collection of materials, assembly process, testing process, and distribution process. The application uses Unity, Blender, and Vuforia SDK. The results of this study will show that the Android-based Augmented Reality (AR) marker application, specifically the traditional houses in Indonesia. 3D assets of traditional houses can be adjusted flexibly, for example, rotated by 360 degrees, accompanied by descriptive information on each traditional house, so that information can be received flexibly and real-like.
Co-Authors Ade Kurniawan Ade Syefira Rizky Agung Pramono Agung Pramono Alfarizi Siregar , Matjen ANGGARA, YOGI Antoni Pribadi Antoni Pribadi Ardiansyah Hamid A’yuniyah, Qurotul Baehaqi Belia Afifah Bustami Bustami Bustami Custer, Johny Dini Amalia Putri Dzulhijjah Yetti Febrianton, Adi Fenty Kurnia Oktorina Fenty Oktorina Fikri , M. Hayatul Fina Nasari Fitri Fitri Fitri Fitri Fitri Fitri, Nadila Gusrialni habibie, indra hafid, Burhan Hanim Inayati Harmi Yelm Harmi Yelmi Indra Habibi Indra Habibie Jazman, Muhammad Kamila, Muthia Kurnia, Dedi Larbiel Hadi M. Alkadri Perdana M. Rukhsah Mahdiawan Nurkholifah Merlia Rahma Yani Merlia Rahmayani Muhammad Arif Muhammad Ridwan Nasution, Lukman Hakim Nazira, Nanda Niken Ellani Patitis Nofrifaldi Nur Asma Deli Nurbit Nurbit Nurfitriani, Desi Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Oby, Muhammad Perdana, M Alkadri Perdana, M. Alkadari Perdana, M. Alkadri Perdana, M.Alkadri Pribadi, Antoni PUTRI, DINI AMALIA Putri, Indah Purnama Putri, Tara Liana Ramadhani Rahmad Akbar Rahmad Akbar Rahmadani, Desvita Rasihen, Yogy Rifqi Muhammad Rika Aryati Rukhshah, Muhammad Safitri, Mulya Santri Utami ms Sarjon Defit Sepdu Dehiya, Yogi Silalahi, Anita Rahayu Siti Rahayu Slamet Triyanto Sumijan Sumijan Tasia, Ena Tri Kurniaty Wahyu Triyono, Wahyu Yedi Sispurwanto Zulfikar