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All Journal Jurnal Ilmiah Informatika Komputer Information System for Educators and Professionals : Journal of Information System KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Indonesian Journal of Applied Informatics Jurnal ICT : Information Communication & Technology Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurnal Informatika Terpadu International Journal of Social Science Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Dimamu Jurnal Sistem Informasi dan Teknologi (SINTEK) AMMA : Jurnal Pengabdian Masyarakat Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Kecerdasan Buatan dan Teknologi Informasi Sintek Kuwera
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STMIK IKMI Cirebon
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pendampingan Legalitas Usaha Dan Penguatan Profie Digital Bagi UMKM Kota Cirebon Ahmad Rifai; Nana Suarna; Difa Aulia Farradila; Muhammad Zeya Sebastian
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 5 : Juni (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in supporting regional economic development; however, many still face challenges related to business legality and digital business identity. These limitations restrict their access to government assistance programs, financing opportunities, business partnerships, and broader market promotion. This community service program aimed to enhance the capacity of MSMEs through business legality assistance and digital business profile development for five MSMEs in Cirebon City, namely Warung Kopi/Angkringan, Wonton, Orenz Drink, Noenk Ice, and Afiqah Banana. The program employed a participatory approach consisting of needs assessment, business legality education, assistance in obtaining the Business Identification Number (Nomor Induk Berusaha/NIB), digital business profile development, implementation support, and monitoring and evaluation. The results demonstrated that all participating MSMEs improved their understanding of the importance of business legality, organized their business administration more systematically, and developed comprehensive digital business profiles containing business identity, product information, visual documentation, contact details, and communication channels. Furthermore, the assistance enhanced participants' ability to utilize digital business profiles as effective information and promotional media, thereby strengthening their business identity and increasing consumer accessibility. The integrated mentoring model successfully combined administrative strengthening with digital transformation within a systematic empowerment framework. This program contributes to improving MSMEs' capacity to establish better business governance, enhance consumer trust, and strengthen the competitiveness of local products in a sustainable manner.
Enhancing Election Staff Selection through Decision Tree-Based Classification Rizal Rayyan Firdaus; Nana Suarna; Irfan Ali; Ahmad Rifai
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.768

Abstract

The selection of competent election committee members is a critical aspect in ensuring the success of a fair and transparent election process. However, the subjective nature of this selection process necessitates a data-driven approach to optimize the selection of officials who meet the required competency criteria. This research aims to classify the competencies of prospective election committee members using the Decision Tree algorithm based on demographic data and technological attributes of the population. The study employs the Knowledge Discovery in Databases (KDD) methodology, which includes the stages of data selection, preprocessing, transformation, data mining, and evaluation. In this process, data collected through various attributes are processed to build a classification model. The Decision Tree algorithm is applied to extract patterns from the data, resulting in a decision tree that can classify individuals into different competency classes based on existing features. The research findings indicate that the Decision Tree algorithm effectively classifies respondents into several competency classes that represent varying levels of skills and interest in the election process. The model shows that Class 4 is the dominant class, indicating that most respondents have moderate competency in technological skills and interest in elections. Class 3 represents individuals with higher technological skills but moderate interest, while Classes 2 and 1 represent individuals with varying combinations of interest and skills. This study demonstrates that using the Decision Tree algorithm in the KDD process is highly effective in objectively classifying the competencies of prospective election committee members. By analyzing the interactions among relevant attributes, the model provides insights that can improve the accuracy of election official selection. This data-driven approach can be adapted to other contexts requiring competency classification, offering broader benefits for various criteria-based selection systems.
Co-Authors Abdul Ajiz Abdul Rasyid Faiq Hadinata Achmad Baihaqi Achmad Fikri Ulumudin Achmad Luthfi Ade Awaludin Ade Irma Purnamasari Adinda Aulia Putri Ahmad Rifai Akhyanto Akhyanto Annisa Annastia Suarna Arif Rinaldi Dikananda Arye Fandia Kusuma Basysyar, Fadhil Muhammad Cep Lukman Rohmat Danya Rizki Chaerunisa Difa Aulia Farradila Dila Nurhafidilah Dion Nugraha Dita Amalia Rizki Dita Rizki Amalia Dodi Solahudin Dodi Solihudin Dwi Atmoko Elisa Sriyulia Ervina Mahara Euis Fadilah Fadhil Muhammad Basysyar Fadrin Helmi Farah Nur Farida Fathurrohman Fatihanursari Dikananda Faturrohman Febriyana Lorenza Ginaselvia Ananda Heliyanti Susana Herman Iin Irfan Ali Kuju Susilawati Lin Lin Martanto . Melisa Hikari Melva Regina Arpratika Moh Nurdayat Dayat Mohamad Ibnu Abas Muhammad Abdullah Nahdi Muhammad Abib Allesdio Muhammad Alfian Nur Rahmat Muhammad Zeya Sebastian Mukhlisin Ilahudin Mulyawan Mulyawan Mulyawan Nana Mulyanasari Nanda Septian Nining Rahaning Nining Rahaningsih Nining Rahaningsih Nisa Dieanwati Nuris Nisa Dienwati Nur Kholidin Nursyifa Puspa Ar-rahmi Slamet Nurul Ibnu Al Muharom Odi Nurdiawan Opiana . Putri Nabilla Raditya Danar Dana Ramadhan, Gildan Jaya Muhammad Rano Rano Rini Astuti Rini Astuti Rizal Rayyan Firdaus Rizky Andrea Arifa Ryan Hamonangan Saeful Anwar Sayudin Sayudin Shandy Alfian Sri Muflikah Kurniarti Sulaeman Syaeful Annas Umi Hayati Usup Supendi Willy Prihartono Yudhistira Arie Wijaya