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All Journal Jurnal Sistem Komputer dan Informatika (JSON) Instal : Jurnal Komputer Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Monang Juanda Tua Sihombing
STMIK Mulia Darma
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Digitalisasi UMKM: Membantu Usaha Kecil Menggunakan Teknologi (Studi Kasus: Desa Melati 2) Muhammad Iqbal Panjaitan; Denni M Rajagukguk; Mamed Rofendi Manalu; Monang Juanda Tua Sihombing
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 02 (2024): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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Abstract

The community service program entitled "Digitalization of MSMEs: Helping Small Businesses Use Technology" aims to increase the capacity of Micro, Small and Medium Enterprises (MSMEs) in utilizing digital technology to optimize operations and expand their market reach. MSMEs play an important role in the Indonesian economy, but often face challenges in adopting digital technology due to limited knowledge and resources. The program involves intensive training and hands-on mentoring on the use of digital technology, including online marketing tools, inventory management systems, and e-commerce platforms. The methods used include practical training sessions, workshops and individual mentoring. Evaluations show that participants experienced significant improvements in their technology understanding, digital skills and business performance. The program recommends the need for continued support and better access to technological resources to ensure the success and sustainability of MSME digitalization in the future.
Kelompok Usaha Masyarakat Desa Batang Kuis Pekan Kecamatan Batang Kuis Bidang Kerajinan, Souvenir, Sablon Dan Percetakan Kabupaten Deli Serdang TA. 2024 Mamed Rofendi Manalu; Monang Juanda Tua Sihombing; Kristian Siregar; RL. Harmadi Tamba; Riswan Limbong; Edward Robinson Siagian; Abdul Sani Sembiring; Elvitrianim Purba
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 01 (2025): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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Abstract

This community service activity aims to improve the skills and competitiveness of community business groups in Batang Kuis Pekan Village in the fields of handicrafts, souvenirs, screen printing, and printing. The methods used include problem identification, program planning, activity implementation, and monitoring and evaluation. The program includes design and production training, digital marketing, and business financial management. The results of the evaluation showed that more than 80% of the participants were able to apply the skills taught, including the use of digital technology for marketing and financial records. The assistance provided also helped participants overcome technical obstacles in production and business management. This activity was strengthened by a discussion session with STMIK lecturer Mulia Darma who emphasized the importance of collaboration between academics, the government, and the business community in building a sustainable business ecosystem. The recommendation for the formation of a local entrepreneurial community is expected to strengthen the network between business actors and support the sustainability of the program. Thus, this program has succeeded in providing real benefits for community business groups and can be used as a model for community-based economic development in other regions.
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Monang Juanda Tua Sihombing; Denni M.Rajagukguk; Muhammad Iqbal Panjaitan; Mamed Rofendi Manalu; Pandi Barita Nauli Simangunsong; Nurmala Sridewi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8457

Abstract

This research aims to produce an optimal course schedule at STMIK Mulia Darma, with the aim of reducing the number of conflicting courses, equalizing the student burden, and maximizing the use of classrooms. The optimization process is carried out through determining the course schedule using a genetic algorithm. Genetic algorithms were chosen because of their ability to solve large-scale and complex problems, making them suitable for handling complex course scheduling problems that involve many variables and constraints. It is hoped that the results of this study will produce an optimal course schedule, taking into account course clashes, student loads, and classroom use efficiency. After research, the optimal course schedule was obtained.
Data-Driven Decision Support Model for Personal Cash Flow Monitoring Using Time Series Forecasting: An Intelligent Approach to Predicting and Managing Individual Financial Stability Denny JC Sihombing; Monang Juanda Tua Sihombing
Bahasa Indonesia Vol 17 No 12 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i12.452

Abstract

Financial literacy and personal cash flow management are critical components of individual economic stability. However, the volatility of daily transaction patterns often complicates manual monitoring, leading to liquidity deficit risks. This study aims to develop a Decision Support Model for personal cash flow monitoring by comparing the effectiveness of AutoRegressive Integrated Moving Average (ARIMA) and Holt-Winters Exponential Smoothing methods. Using the ANZ Virtual Internship transaction dataset, this research processes historical customer daily balance data through preprocessing, stationarity testing, and predictive modeling stages. Performance evaluation results demonstrate that the Holt-Winters method is more accurate in capturing customer balance trends with a Mean Absolute Error (MAE) of AUD 476.80 and a Root Mean Square Error (RMSE) of AUD 568.96, outperforming ARIMA which yielded higher error rates. Based on these results, the Holt-Winters algorithm is integrated into an Early Warning System (EWS) logic that maps balance predictions into three risk zones: Safe, Warning, and Critical. The proposed model is capable of providing future financial health status visualization as a risk mitigation instrument for banking customers
Co-Authors Abdul Sani Sembiring Denni M Rajagukguk Denni M.Rajagukguk Denny JC Sihombing Edward Robinson Siagian Elvitrianim Purba Kristian Siregar Manalu, Mamed Rofendi Muhammad Iqbal Panjaitan Nurmala Sridewi Pandi Barita Nauli Simangunsong Riswan Limbong RL. Harmadi Tamba