Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Building of Informatics, Technology and Science Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Bangun Abdimas
Bobbi Kurniawan Nasution, Muhammad
Unknown Affiliation
Arts Computer Science & IT Economics, Econometrics & Finance Education Engineering Materials Science & Nanotechnology Public Health Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Peningkatan Literasi Digital melalui Pelatihan Komputer untuk Pengembangan UMKM di Desa Era 5.0 Kusmanto; Febriani, Budi; Bobbi Kurniawan Nasution, Muhammad; Suryadi, Sudi
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 5 No. 1: Desember 2024
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

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

Abstract

Enhancing digital literacy is a crucial step in empowering MSMEs (Micro, Small, and Medium Enterprises) in rural areas to face challenges and seize opportunities in the 5.0 era. Digital literacy equips business actors with the ability to effectively utilize technology, such as conducting online marketing, managing digitally-based businesses, and accessing relevant information for business development. Through computer training, MSME actors can improve their skills in operating technological devices and optimizing the use of digital platforms. This training also supports MSMEs in adapting to technological changes, expanding market access, and increasing competitiveness. Thus, computer training for digital literacy serves as a strategic initiative to drive the development of rural MSMEs, ultimately contributing to local economic growth and strengthening the digital ecosystem in Indonesia..
Pengembangan Sistem Informasi Untuk Pengelolaan Data Penduduk Karim, Abdul; Kusmanto, Kusmanto; Bobbi Kurniawan Nasution, Muhammad
Jurnal Bangun Abdimas Vol 4 No 1: Mei 2025
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/ba.v4i1.520

Abstract

Teknologi informasi dan teknologi komputer yang canggih telah memberikan dampak yang signifikan terhadap berbagai aspek kehidupan manusia di setiap lapisan masyarakat. Organisasi harus memiliki sistem informasi yang dapat memenuhi kebutuhannya dalam mencapai efisiensi dan efektifitas kerja. Diharapkan pengolahan data akan menjadi lebih mudah dengan adanya sistem informasi data kependudukan. Kantor Kelurahan Karang Baru masih menggunakan pengelolaan data secara manual menggunakan Microsoft Word dan Microsoft Excel. Dengan adanya sistem informasi pengelolaan data penduduk berbasis web ini, diharapkan pegawai akan lebih mudah menyelesaikan tugas mereka dan penduduk akan mendapatkan pelayanan yang lebih cepat dan lebih baik.
Studi Perbandingan Metode Dempster-Shafer dan Teorema Bayes dalam Sistem Pakar Diagnosa Penyakit Sistem Pernapasan Kusmanto, Kusmanto; Esabella, Shinta; Karim, Abdul; Bobbi Kurniawan Nasution, Muhammad; Hidayatullah, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7317

Abstract

Respiratory system disease diagnosis often faces challenges in ensuring the accuracy of results due to the complexity of overlapping symptoms. In particular, a method is needed that is able to handle data uncertainty and utilize existing evidence optimally. This study aims to compare two methods, namely Bayes' Theorem and Dempster-Shafer, in diagnosing three types of respiratory diseases: Asthma, Tuberculosis, and Bronchitis. The solution is done by analyzing the percentage of confidence produced by each method based on symptom data. The results show that Bayes' Theorem produces the highest confidence for Tuberculosis (74.92%), while Dempster-Shafer provides the highest confidence for Bronchitis (80%). This comparison indicates that the selection of methods must be adjusted to the characteristics of the data and the needs of the analysis. This study contributes to providing insight into the advantages and disadvantages of each method, which can be used as a reference in developing a more accurate disease diagnosis decision support system.
Co-Authors Abdul Karim Abdul Karim Febriani, Budi Hidayatullah, Muhammad Kusmanto Kusmanto Kusmanto Shinta Esabella Suryadi, Sudi