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All Journal MEANS (Media Informasi Analisa dan Sistem) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) AMMA : Jurnal Pengabdian Masyarakat
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Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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PKM Pengembangan Sistem Informasi Akuntansi Untuk Usaha Kecil Dan Menengah (UKM) Rahaningsih, Nining; Fathurrohman; Mulyawan; Dewanty Rafu, Maria; Sutrisno, Hari
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 05 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Small and Medium Enterprises (SMEs) play a crucial role in the national economy, yet they often face challenges in efficiently managing accounting processes. The mismatch between human resource capacity and the needs of modern accounting systems is a significant issue hindering SME performance. Therefore, the development of an easy-to-use accounting information system tailored to the needs of SMEs is essential. This study aims to design and implement a digital-based accounting information system that can improve financial management efficiency in SMEs. The methods used include needs analysis, system design using the Agile methodology, and trials in several SMEs within specific regions. The results indicate that the developed system enhances the accuracy of financial record-keeping and simplifies the reporting process. Thus, this system is expected to be an effective solution for increasing the competitiveness of SMEs in the digital era.
PKM Pelatihan Pajak Dan Konsultasi Pelaporan Pajak Orang Pribadi Kaslani; Mulyawan; Ali, Irfan; Oktaviani Putri , Farra; Burhanudin, Haris
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 5 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Tax reporting is an obligation that must be fulfilled by every taxpayer, including individuals. However, many individuals still face difficulties in understanding tax regulations and correct reporting procedures, which can lead to errors in reporting or even tax evasion. Through this Student Creativity Program (PKM), training and consultation are provided to enhance the understanding and skills of individual taxpayers in accurately and compliantly reporting taxes according to the applicable regulations. The objective of this program is to provide comprehensive knowledge on taxation for individuals and to offer consultations that can assist them in preparing and accurately reporting their taxes. The methods used in this program include face-to-face training, tax reporting simulation workshops, and individual consultation sessions. The expected outcomes are increased awareness and compliance of individual taxpayers with their tax obligations, as well as their ability to report taxes more accurately and on time. It is anticipated that this program will help reduce errors in tax reporting and increase state revenue through improved tax compliance.
PKM : Pelatihan Inovasi Produk Madu Hutan Sumedang Yang Higenis Dan Modern Ade Kurnia, Dian; Dwilestari, Gifthera; Mulyawan; Wulan Suci, Salwa; Hidayah, Nurul
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 5 : Juni (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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This report highlights the importance of improving the quality of forest honey products in Sumedang to meet hygienic and modern standards. The main issue is that traditional honey production practices do not meet cleanliness standards, hindering the product's competitiveness in the market. Objective: The goal of this activity is to educate and train forest honey entrepreneurs on innovative techniques that enhance the production process to be more hygienic and in line with modern standards. Methods: The implementation methods include providing education on cleanliness practices, training on more efficient and safe processing techniques, and guidance on the application of the latest technology. Results: The program results show a significant improvement in the quality of honey products, with the produced honey now meeting higher cleanliness standards and achieving better market competitiveness.
Bibliometric Analysis: Machine Learning untuk Blended Learning Agus Bahtiar; Mulyawan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Blended learning, which combines face-to-face learning methods with digital technology, has grown rapidly thanks to advances in information technology. Along with that, machine learning technology offers great potential to improve personalization and adaptation in blended learning. This research aims to explore the application of machine learning in blended learning systems through bibliometric analysis. By analyzing SCOPUS indexed publications from 2019 to 2024, this study identifies trends, challenges and opportunities in the integration of machine learning with blended learning. The methods used include search keyword definition, initial data collection, refinement of search results, statistical compilation, and data analysis. The main findings show that there is a significant increase in the number of publications on this topic, with the highest peak in 2022. The wide distribution of publications indicates significant international collaboration. Citation analysis indicates that the quality and impact of research is also increasing, with recent publications gaining more citations. This research highlights the importance of applying machine learning in blended learning to improve educational effectiveness and support the development of more adaptive learning methods. The findings provide valuable insights for academics and practitioners to encourage further innovation and improve the quality of education in the digital era.
Improving the School Type Clustering Model on the Foundation Using the K-Means Algorithm (Case Study: Kebon Kelapa Al-Ma'rifah, Cirebon Regency) Hanifah Nur Aulia; Martanto; Arif Rinaldi Dikananda; Mulyawan
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.v4i2.739

Abstract

This study aims to improve the school type grouping model at the Kebon Kelapa Al-Ma'rifah Foundation, Cirebon Regency, using the K-Means algorithm. Data-based grouping is very important in supporting efficient education management, especially in environments that have various types of schools such as Madrasah Aliyah (MA), Vocational High School (SMK), Madrasah Tsanawiyah (MTs), and Madrasah Ibtidaiyah (MI). The data used comes from the New Student Registration (PPDB) dataset for the 2023–2024 school year, with demographic attributes such as name, place of birth, gender, and time of school entry. The evaluation of clustering quality was carried out using the Davies-Bouldin Index (DBI) to determine the optimal number of clusters. The results show that the optimal number of clusters is K=5 with the lowest DBI value of 0.201, which results in compact and well-separated clusters. The implementation of the K-Means algorithm helps the foundation understand the distribution pattern of students based on attributes such as gender, region, and entry time. This research provides practical benefits, including more targeted resource allocation, improved quality of education, and efficiency in school management. In addition, this research contributes to the development of data mining models in the education sector and opens up opportunities for the exploration of additional attributes such as academic achievement and socioeconomic conditions. Further research is suggested to use alternative algorithms such as K-Medoids or DBSCAN.
The Improvement of Indonesian Film Genre Clustering Model Using the K-Means Algorithm in Film Production Decision-Making Wiratriyana; Martanto; Arif Rinaldi Dikananda; Mulyawan
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.v4i2.765

Abstract

The Indonesian film industry is expanding rapidly, but understanding audience preferences remains a significant challenge for producers. This study aims to cluster Indonesian films by genre and synopsis using the K-Means algorithm to aid in marketing strategies and content development. The dataset comprises 1,271 Indonesian film entries, including attributes like release year, genre, synopsis, and user ratings. The research follows the Knowledge Discovery in Databases (KDD) framework, which involves data selection, preprocessing, transformation, clustering with K-Means, and evaluation using the Elbow method to identify the optimal number of clusters. The results show that the K-Means algorithm successfully grouped the films into three clusters: drama, horror, and others. The analysis indicates that drama films dominate the high-rating cluster, while horror films are more commonly found in the low-rating category. The use of Principal Component Analysis (PCA) in the visualization aids in interpreting the clustering results, providing a clearer view of the data distribution. These findings highlight the potential for improving film production strategies by aligning content with audience preferences. By understanding genre patterns and ratings, producers can make more informed decisions in marketing and content development.
Development of Educational Game for Introduction Animal Types Using the ADDIE Method Smart Apps Creator In Improving Knowledge Students Artoti, Azzahra Rizky; Martanto; Dikananda, Arif Rinaldi; Mulyawan
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.v4i2.777

Abstract

The development of technology in education opens up opportunities for innovation to create interactive learning media, especially for early childhood. This research aims to develop educational games based on Smart Apps Creator using the ADDIE method to introduce animal species to Al-Washliyah kindergarten students. The method used is ADDIE, consisting of five stages, namely: Analysis, Design, Development, Implementation, and Evaluation. in this study conducted validity, reliability, normality, homogeneity, and anova tests to measure the effectiveness of this learning media. The results showed that this animal species recognition educational game succeeded in improving student understanding with an average score before the use of learning media of 59.2% increasing to 87.73% after using learning media. Validity and reliability tests show that this learning media meets the criteria of effective, easy-to-use, and interesting learning media.
Pemberdayaan Wirausaha Melalui Rancangan Ekosistem Bisnis Berbasis Platform Digital Martanto; Mulyawan; Budi Setiawan, Arif; Renaldi , Betran
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Micro, small, and medium enterprises (MSMEs) play a vital role in the economy but often face challenges in developing their businesses in the digital era. This Community Partnership Program aims to empower entrepreneurs through the design of a business ecosystem based on digital platforms. The activities include situational analysis of partner MSMEs, designing a suitable business ecosystem model, training on the utilization of digital platforms for various business aspects (marketing, operations, and management), and assistance in implementing the designed ecosystem. It is expected that, through this program, partner MSMEs can improve efficiency, expand market reach, enhance customer interaction, and ultimately achieve sustainable business growth through the utilization of an integrated digital ecosystem.
Pelatihan Pola Dan Segmentasi Citra Bagi Dosen Kopertip Indonesia Untuk Mendukung Penelitian Multidisiplin Mulyawan; Suarna, Nana; Jaya Muhammad Ramadhan, Gildan; Alfian Nur Rahmat, Muhammad
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Pattern recognition and image segmentation are visual data analysis techniques with broad applications in various research fields. This Community Service Program aims to provide training on pattern recognition and image segmentation for lecturers of Kopertip Indonesia. This training seeks to enhance lecturers' understanding and ability to apply these techniques as tools to support multidisciplinary research. The training material includes the fundamentals of image processing, various pattern recognition methods, image segmentation algorithms, and case studies of applications in cross-disciplinary research contexts. It is hoped that this activity can encourage the improvement of quality and interdisciplinary research collaboration within Kopertip Indonesia.
Pendampingan Pembukuan Sederhana Untuk Pedagang Pasar Tradisional Mulyawan; Anam, Khaerul; Muhyi, Abdul; Fajar, Achmad
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 3 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Traditional market vendors play a vital role in supporting local economies and contribute significantly to community economic activities. However, most of them have not implemented proper bookkeeping systems, resulting in difficulties in managing cash flow, calculating profits, and accessing formal financial services. This program aims to provide simple bookkeeping assistance to traditional market traders to help them gain basic financial record-keeping skills. The program involved initial observation, development of a simple bookkeeping module, in-person training sessions, and hands-on assistance in daily financial recording. The bookkeeping system was tailored to the needs of small-scale businesses, covering records of income, expenses, and profit-loss, using notebooks and easy-to-understand paper forms. The results indicated an increased awareness among traders about the importance of financial documentation and their ability to independently create basic financial reports. Additionally, some vendors expressed interest in saving and accessing banking services as part of improved financial management. This initiative had a positive impact on enhancing the financial literacy of traditional traders and encouraged the development of a more organized business administration culture. In the future, such mentoring programs are expected to continue periodically and evolve toward the digitalization of simple bookkeeping systems via mobile applications.
Co-Authors Ade Kurnia, Dian Ade Rizki Rinaldi agus bahtiar Alfian Nur Rahmat, Muhammad Arif Budi Setiawan Arif Rinaldi Dikananda Artoti, Azzahra Rizky Burhanudin, Haris Daffa Ezra Pratama Dewanty Rafu, Maria Dikananda, Arif Rinaldi Dini Andriyani Fajar, Achmad Garsandi, Akmal Maulana Gifthera Dwilestari Hanifah Nur Aulia Hari Sutrisno Hery Widijanto Irfan Ali, Irfan Jaya Muhammad Ramadhan, Gildan Jayawarsa, A.A. Ketut Kaslani Kurnia, Dian Ade Martanto Muhyi, Abdul Nining Rahaningsih Noviati NURUL HIDAYAH Oktaviani Putri , Farra Raditya Danar Dana Renaldi , Betran Suarna, Nana Tohidi, Edi Wiratriyana Wulan Suci, Salwa