Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Community Service Journal : Jurnal Pengabdian Masyarakat Mardira Journal of Multimedia Technology and Applied Software
Dani Rohpandi
STMIK Mardira Indonesia
Computer Science & IT Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : journal of multimedia technology and applied software

 1 
Dual Mode Design On Backend Development Of Django-Based Kegiatan Belajar Mengajar (KBM) Application Raden D Ahmad H; Davit Hermawan; Endra Abdul Hadi; Nurdiansyah Permana; Dani Rohpandi
Journal of Multimedia Technology and Applied Software Vol. 2 No. 1 (2025): Software Engineering Technology
Publisher : Politeknik Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71266/jmtas.v2i1.43

Abstract

Educators often face significant administrative burdens from tasks like lesson planning and reporting, which impede efficiency and reduce direct student interaction time. This research aimed to design and develop a backend architecture for a learning activity management (KBM) application featuring a novel dual-mode system to serve both independent teachers and formal institutions. Employing an Agile methodology and the Django framework, the study developed a robust backend with a comprehensive database, models, views, and URL configurations. White-box testing was conducted to validate the internal logic. The findings confirm the successful implementation of a dual-mode architecture using Role-Based Access Control (RBAC), which effectively segregates data and permissions according to user roles. The developed prototype demonstrates a scalable and secure foundation for the application. The primary implication of this research is a validated architectural model for multi-tenancy educational software, offering a practical solution to streamline administrative workflows and enhance educator productivity. Future work should focus on frontend development and user acceptance testing.
THE APPLICATION OF SIMPLE ADDITIVE WEIGHTING AND PROFILE MATCHING METHODS AS A SUPPORT FOR STUDENT ADMISSIONS AT SMK MUHAMMADIYAH TASIKMALAYA Dani Rohpandi; Yuda Purnama Putra; Egi Badar Sambani
Journal of Multimedia Technology and Applied Software Vol. 1 No. 2 (2024): Software Engineering Technology
Publisher : Politeknik Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71266/jmtas.v1i2.51

Abstract

Most of the junior high school graduates want to continue their education to vocational schools, this can be evidenced by the large number of junior high school graduates who take the entrance exam to vocational schools. The unfortunate thing is that they are not mature in choosing a major. This kind of situation has an impact on the education costs that have already been incurred, both by the parents of the students and by the government that subsidizes the school to be useless because the student does not have adequate abilities for the major he has chosen, sometimes there are students who drop out. Based on the information obtained from the new student admission committee, the number of departments at SMK Muhammadiyah Tasikmalaya City consists of five majors, namely the department of light vehicle engineering, software engineering, network computer engineering, motorcycle engineering and marketing. The major is based on the student's choice when registering by listing their interests for major 1 and major 2. In addition, the major is determined by grades. The system to support the decision of admission and selection of majors with the Simple Additive Weighting (SAW) method and Profile Matching, is expected to help the admission committee of new students in determining majors for students. This decision support system is web-based so that it can be accessed anywhere by prospective students to register online, then the data will be processed to determine the right major for each student.
Co-Authors Asep Ririh Riswaya Ayu Djuliani Budiman, Dheni Apriantsani Davit Hermawan Egi Badar Sambani Egi Rahmatulloh Endra Abdul Hadi Evi Dewi Sri Mulyani Feri Alpiyasin Feri Irawan Heri Wahyudi Ikbal Jamaludin Marjito Muhamad Ma’rufi Ibnu Amir Nono Sudarsono Nurdiansyah Permana Prastyo Pratama Raden D Ahmad H Rinaldi Satia Aulia Rahmat Rizal Fauzi Rohmat Nur Ibrahim Susanto Syaidan Ali Pratama Teuku Mufizar Yuda Purnama Putra