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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Prosiding Seminar Matematika dan Pendidikan Matematik Media Mesin: Majalah Teknik Mesin Bina Insani ICT Journal Information System for Educators and Professionals : Journal of Information System JTAM (Jurnal Teori dan Aplikasi Matematika) Limits: Journal of Mathematics and Its Applications Jurnal Informatika dan Rekayasa Perangkat Lunak JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) G-Tech : Jurnal Teknologi Terapan Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Journal of Community Development Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat JIWAKERTA: Jurnal Ilmiah Wawasan Kuliah Kerja Nyata BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Indonesian Community Journal INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System JUSTIFY : Jurnal Sistem Informasi Ibrahimy Jurnal Aplikasi Sistem Informasi dan Elektronika Jurnal Penelitian Teknologi Informasi dan Sains JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Limits: Journal of Mathematics and Its Applications
Muharom, Lutfi Ali
Universitas Muhammadiyah Jember
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer

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Implementasi Virtual Reality dalam Visualisasi Arsitektur Kampus Menggunakan Game Development Life Cycle (GDLC) Hidayat, Muhammad Hafid; Maulana, Oka Wahyu; Oktavianto, Hardian; Muharom, Lutfi Ali; Cahyanto, Triawan Adi; Saifudin, Ilham
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.169

Abstract

Campus promotions often still rely on conventional media such as brochures, mockups, or 2D videos which are less attractive to the digital generation. This presents a challenge in effectively conveying the university's image and excellence to prospective students, especially high school students. To overcome these problems, this research aims to develop a campus architectural visualization system based on Virtual Reality (VR) technology as a promotional media for Muhammadiyah University. This system was developed using the Game Development Life Cycle (GDLC) method, which includes initiation, pre-production, production, testing, and post-production stages. 3D models of the campus buildings were created using Blender and integrated into Unity to build an interactive VR environment. Key features include virtual campus navigation, detailed 3D visualizations, and interactive information presentation. Testing was conducted using the black-box method and usability evaluation. The results show that the VR application is able to provide an interesting and informative campus exploration experience. This system is expected to be an effective and modern promotional media, and is able to increase prospective students' interest in the campus.
Ensemble Learning dengan Soft Voting Classifier untuk Klasifikasi Pasien Tifus di Puskesmas Balung Muharom, Lutfi Ali; Irawan, Dudi; Warisaji, Taufiq Timur
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.186

Abstract

Typhoid fever remains a significant public health problem in Indonesia, particularly in areas with limited medical facilities. This study aims to develop an automatic classification model for typhoid diagnosis using an ensemble learning approach based on the Soft Voting Classifier. The model combines three base algorithms, Logistic Regression, Random Forest, and Gradient Boosting, to enhance predictive accuracy. The dataset was obtained from Balung Primary Health Center, Jember Regency, consisting of 510 patient records with typhoid symptoms. Experimental results show that the ensemble model achieved an accuracy of over 92%, outperforming individual models. Furthermore, adequate precision and recall indicate the model’s potential to support rapid and accurate medical diagnosis. These findings demonstrate that the Soft Voting Classifier can serve as an effective tool to assist healthcare workers, especially in resource-limited settings, in improving the quality of typhoid fever diagnosis.
Co-Authors Abdul jalil Alfian Futuhul Hadi Alfira Risma Lutfiyansyah Anak Agung Gede Sugianthara Ananda, Pio Tifar Andika Surya, Iwang Moeslem Ardhi Fathonisyam Putra Nusantara Ardhi, Nusantara Fathonisyam Putra Ari Sita Nastiti Daryanto Daryanto Dasuki, Moh. Dian Anggraeni Dwiansyah, Ipung Fauzi, Lutfi Hasbi, Hudaini Heni Pujiastuti Hidayat, Muhammad Hafid Irawan, Dudi Laili, Januariya Maulana, Oka Wahyu Moh. Lukman Sholeh Mohammad Lukman Sholeh Munawaroh, Faridatul Oktavianto, Hardian Permata, Arindha Dyah Rahman, Miftahur Rohman, Rizal Abdur Rozzaq, Dewangga Aldiar Rusdiana Setyaningtyas Saifudin, Ilham Siti Nur’Aini Sulistyo, Henny Wahyu Triawan Adi Cahyanto Warisaji, Taufiq Timur Zainul Arifin ZAINUL ARIFIN