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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

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E-Commerce Manufacturing and Management Training to Increase Production and Sales of Sirwal Pants at Al Waleed Moslem Shop Dheni Apriantsani Budiman; Marjito; Rohmat Nur Ibrahim; Asep Ririh Riswaya; Heri Wahyudi; Dani Rohpandi; Ikbal Jamaludin; Susanto
Community Service Journal : Jurnal Pengabdian Masyarakat Mardira Vol. 1 No. 1 (2025): Community Service in Indonesia
Publisher : Politeknik Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71266/mcsj.v1i1.32

Abstract

Clothing entrepreneur partners today must be observant of the tastes and trends that are currently prevailing in society, besides that it is a challenge for entrepreneur partners to develop management, promotion and marketing that must be done. If you only rely on direct sales, of course, it must be supported by a variety of very good resources, such as a strategic location and an attractive spatial layout. Therefore, business partners need to penetrate into the form of online sales which of course requires various preparations that must be made, including by providing sufficient tools and human resources. Sirwal pants are one of the traditional clothing products that are currently quite popular among young people in the community. The opportunity to produce and market it is quite wide open, and the production process is relatively easy to do. To support the sales process progressively, of course, it is not enough to do it only by passive sales, but the online sales process must be carried out live within a certain period of time. The output of this activity is in the form of an account on an online sales application and the concept of live streaming or video sales applied to promotion and marketing by business partners.
DEVELOPMENT OF THE PONDOK PESANTREN TANJUNG SALAM WEBSITE IN CIWIDEY DISTRICT, BANDUNG REGENCY Dani Rohpandi; Feri Alpiyasin; Nono Sudarsono; Heri Wahyudi; Feri Irawan; Muhamad Ma’rufi Ibnu Amir; Prastyo Pratama; Rizal Fauzi; Syaidan Ali Pratama
Community Service Journal : Jurnal Pengabdian Masyarakat Mardira Vol. 1 No. 2 (2025): Community Service in Indonesia
Publisher : Politeknik Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71266/csj.v1i2.55

Abstract

The development of Islamic boarding school institutions can be carried out using an internet-based information medium to be publicly accessible and certainly requires infrastructure that meets the necessary criteria. Developing a website certainly requires skills and expertise to produce information that is easily accessible, attracts attention, and can be understood by its visitors. In developing the website for Pondok Pesantren Tanjung Salam, the community service team from STMIK Mardira Indonesia uses a descriptive method with a qualitative approach and the waterfall model in software development (Software Development Life Cycle). With the development that has been carried out, training for the management, especially the operators and administrators responsible for the website's content, is of course needed. The result of this website development provides free access to information for the public.
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.
Classification of Cihateup duck egg fertility using convolutional neural network EfficientNet-B3 Evi Dewi Sri Mulyani; Teuku Mufizar; Dani Rohpandi; Ayu Djuliani; Egi Rahmatulloh; Rinaldi Satia Aulia Rahmat
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp798-809

Abstract

Accurate detection of egg fertility is crucial to improve hatching success in duck farming. Conventional candling methods rely heavily on human expertise, making them subjective and error-prone. This study proposes an automated classification system for Cihateup duck egg fertility using candling images and a convolutional neural network (CNN) based on the EfficientNet-B3 architecture. Image enhancement techniques, including contrast limited adaptive histogram equalization (CLAHE), unsharp masking, and adaptive thresholding, were applied to improve image quality and feature visibility. The dataset consisted of fertile and infertile egg images captured at two incubation stages: the first 24 hours and the 8th–15th days. Data were split into training, validation, and testing sets with a ratio of 70:15:15. Experimental results show that image enhancement significantly improves classification performance. Without enhancement, the model achieved an accuracy of 49% with an area under curve (AUC) of 0.4226, indicating poor discrimination capability. With image enhancement, the proposed method achieved accuracies of 77% for the first 24 hours dataset and 80% for the 8th–15th days dataset, with AUC values of 0.9962 and 0.9317, respectively. These results demonstrate that EfficientNet-B3 combined with image enhancement provides an effective and computationally efficient solution for automated fertility detection of Cihateup duck eggs.
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