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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Jurnal E-Komtek Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Ilmu Manajemen Retail Universitas Muhammadiyah Sukabumi (JIMAT UMMI) Jurnal Syntax Fusion : Jurnal Nasional Indonesia Jurnal Pengabdian Masyarakat (ABDIRA) KESANS : International Journal of Health and Science International Journal of Humanities Education and Social Sciences INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH Jurnal Pijar : Studi Manajemen dan Bisnis International Journal of Multidisciplinary Sciences and Arts TGO Journal of Community Development Jurnal Intelek Dan Cendikiawan Nusantara Technologia Journal Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI) Technologia Journal
Muchsam, Yoki
Universitas Sains Indonesia
Aerospace Engineering Arts Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Transformasi Digital dalam Strategi Branding UMKM Lokal: Studi Kasus Dodol Betawi di Kabupaten Bekasi Sandi Yuda, Mulfi; Afrizal Maulana, Mochamad; Muchsam, Yoki; Wahyu Akbar, Tri Sanatha; Raspati, Galih
Jurnal Ilmu Manajemen Retail Universitas Muhammadiyah Sukabumi Vol. 6 No. 3 (2025): Nopember
Publisher : Fakultas Ekonomi Universitas Muhammadiyah Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jimat.v6i3.3977

Abstract

Traditional SMEs based on local culture face significant challenges in adopting digital transformation, particularly in developing adaptive branding strategies in the digital economy era. This research addresses the urgency of bridging the digital literacy gap and cultural understanding in the marketing strategies of Betawi dodol SMEs in Bekasi Regency. The primary objective of this study is to analyse how local entrepreneurs understand, adopt, and implement digital branding within the social and cultural context of Betawi. The research methodology employs a qualitative approach with an intrinsic case study, utilising semi-structured interviews, participatory observation, and visual documentation of Betawi dodol entrepreneurs in Ceger. The research findings indicate that the digital transformation of these SMEs remains sporadic, has not been structured as a comprehensive branding strategy, and relies more on social relationships and product quality. Brand identity is built organically through consumption experiences and local cultural values. The implications of this research highlight the importance of community-based mentoring and strengthening digital branding literacy rooted in local wisdom as a strategy for sustainable SME empowerment.
Marketing Mix and Green Marketing Effects on MSME Customer Loyalty through Value and Satisfaction Raspati, Galih; Yuningsih, Yuyun Yuniati; Maulana, Afrizal; Yuda, Mulfi Sandi; Muchsam, Yoki
International Journal of Multidisciplinary Sciences and Arts Vol. 5 No. 1 (2026): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v5i1.7546

Abstract

The rapid growth of healthy food micro, small, and medium enterprises (MSMEs) in Indonesia is driven by increasing consumer awareness of health and environmental sustainability. Nevertheless, intense competition and low switching costs pose challenges for MSMEs in sustaining long-term customer loyalty. This study aims to examine the effects of the marketing mix (7P) and green marketing on customer loyalty, with perceived value and customer satisfaction as mediating variables. A quantitative research design with a cross-sectional survey approach was employed. Data were collected from customers of healthy food MSMEs in Bekasi using structured questionnaires. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to assess both direct and indirect relationships among variables. The results indicate that the marketing mix (7P) and green marketing have significant positive effects on perceived value, customer satisfaction, and customer loyalty. Perceived value and customer satisfaction also significantly influence customer loyalty and partially mediate the relationships between marketing mix, green marketing, and loyalty. These findings suggest that integrating conventional marketing strategies with sustainability-oriented practices is essential for enhancing customer loyalty in healthy food MSMEs. This study contributes to the literature by proposing an integrated model that combines marketing mix and green marketing in explaining customer loyalty, particularly within a developing-country and peri-urban context. Practically, the findings highlight the importance of improving service quality, pricing transparency, and credible green practices to strengthen competitiveness and customer retention.
Artificial Intelligence and Digital Literacy for Competitiveness and Sustainability of Bandung MSMEs Istikomah, Istikomah; Maulana, Afrizal; Susilawati, Susilawati; Muchsam, Yoki
International Journal of Multidisciplinary Sciences and Arts Vol. 5 No. 1 (2026): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v5i1.7580

Abstract

This research aims to analyze the role of artificial intelligence (AI) in digital marketing and digital literacy on the competitiveness and sustainability of micro, small, and medium enterprises (MSMEs) in Bandung City during the platform economy era. The development of digital technology opens up great opportunities for MSMEs, but low digital literacy and limited utilization of AI still pose obstacles to increasing competitiveness. The research method uses a mixed methods approach with a survey of 150 MSME owners and in-depth interviews with some respondents. The sample selection was done purposively, while the quantitative data was analyzed using Structural Equation Modeling (SmartPLS 4) and the qualitative data was used for triangulation. The research results indicate that the adoption of AI in digital marketing and digital literacy has a significant positive impact on the competitiveness of MSMEs. Stronger competitiveness is proven to support business sustainability. Additionally, digital literacy serves as a mediator that strengthens the effectiveness of AI-based marketing strategies. This research confirms that improving digital literacy and utilizing AI are crucial strategies for SMEs in facing the challenges of the platform economy. The research results are expected to contribute to the development of policies, business strategies, and academic literature related to the digital transformation of MSMEs in Indonesia.
Determinants of Purchase Intention for Subsidized Housing in Flood-Prone Areas: Evidence from Bekasi Regency Maulana, Mochamad Afrizal; Yuda, Mulfi Sandi; Muchsam, Yoki; Raspati, Galih
International Journal of Multidisciplinary Sciences and Arts Vol. 5 No. 1 (2026): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v5i1.7760

Abstract

The subsidized housing sector in Indonesia, implemented through the Housing Financing Liquidity Facility (FLPP) program, plays a crucial role in improving access to adequate housing for low-income households by offering affordable prices and long-term financing schemes. However, the realization of subsidized housing in Bekasi Regency has declined sharply, from 20,004 units in 2022 to 13,908 units in 2024, representing a decrease of 30.5 percent. This trend indicates a weakening of purchase intention, suggesting that affordability alone is insufficient to sustain demand. This study aims to examine the effects of subsidized housing price, perceived flood risk, infrastructure quality, and building quality on housing purchase intention within the FLPP program in Bekasi Regency. A quantitative explanatory approach was applied using primary data collected through structured questionnaires from 100 respondents consisting of residents and prospective buyers of FLPP housing. Multiple linear regression analysis was employed to assess both partial and simultaneous effects of the independent variables. The results indicate that subsidized housing price, infrastructure quality, and building quality have positive and significant effects on housing purchase intention. Conversely, perceived flood risk has a negative and significant effect, indicating that higher flood risk perceptions reduce buyers’ willingness to purchase subsidized housing. These findings suggest that purchase intention is influenced by a comprehensive evaluation of affordability, environmental safety, and physical housing conditions. Therefore, improving flood risk mitigation and infrastructure quality, alongside maintaining affordable prices, is essential for enhancing the sustainability and effectiveness of subsidized housing programs.
Peran E-HRM dalam Meningkatkan Praktik Green HRM: Studi tentang Kinerja Organisasi Berkelanjutan di Era Digital Muchsam, yoki; Yoki Muchsam; , Galih Respati; Mulfi Sandi Yuda; Mochamad Afrizal Maulana
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 18 No 2 (2025): JURNAL ILMIAH EKONOMI DAN BISNIS
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v18i2.2602

Abstract

Digital transformation and sustainability demands are driving the need for the integration of E-HRM and Green HRM to achieve sustainable organizational performance. This integration serves as a solution to the challenges of resource efficiency, carbon footprint reduction, and enhanced employee engagement in the digital era. This research aims to analyse the role of E-HRM in enhancing Green HRM practices and its impact on sustainable organizational performance. The research methodology employs a Systematic Literature Review (SLR), utilising the Scopus database, with selection based on inclusion-exclusion criteria, data extraction, and thematic analysis of selected journals. The anticipated impact of E-HRM is its support for Green HRM through the digitalization of HR processes that reduce resource usage, the establishment of digital platforms for environmental awareness, and data-driven impact measurement. The integration of both significantly enhances sustainable performance across three dimensions: environmental (a 20-30% reduction in carbon footprint), economic (15-25% cost savings), and social (30-40% increase in employee engagement). Key implementation factors include technological readiness, management commitment, and alignment with ESG strategies. This research contributes a conceptual framework for the integration of E-HRM and Green HRM, along with practical recommendations for achieving sustainable competitive advantage in the digital age.
Penerapan Algoritma Decision Tree dalam Klasifikasi Data “Framingham” Untuk Menunjukkan Risiko Seseorang Terkena Penyakit Jantung dalam 10 Tahun Mendatang Agung Rachmat Raharja; Jayadi; Angga Pramudianto; Yoki Muchsam
Technologia Journal Vol. 1 No. 1 (2024): Tecnologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/cwgzp962

Abstract

Heart disease is one of the deadliest diseases in Indonesia and in the world, many of the sufferers do not know the risk of heart disease. This research will analyze and identify factors that will affect the risk of heart disease. With the decision tree algorithm approach which is one of the methods of machine learning that can produce predictive models based on a series of logical decisions. The application is done by classifying framingham data to assess the risk of heart disease in the next 10 years. The result is a Decision Tree model used to predict the risk of heart disease based on the Framingham dataset. The model achieved 74% accuracy on the test data
Co-Authors , Galih Respati Afrizal Maulana, Mochamad Agung Rachmat Raharja Akbar, Tri Sanatha Wahyu Alita Agustina Angga Cahya Lesmana Angga Pramudianto Angga Pramudianto Bahtiar Usman Ce Gunawan Deasy Aseanty Dola Ramalinda Elian Saputri, Donna Falahah . Febrianti, Intan Rieke Fitrah Rumaisa Galih Irianto Saputro Galih Raspati Imanita Septian Rusdianti Irgi Fauzan Istikomah Istikomah Jayadi Jayadi Jayadi Jayadi Kusumah, Raden Minda Mareta, Fazriana Mariati Tirta Wiyata Maulana, M Afrizal Mia Rahmiati Mochamad Afrizal Maulana Muhamad Rihan Hidayat Muhammad Zakaria Kautsar Mulfi Sandi Yuda R. Bagus Wahyudiono Reza, Yolandita Angga Rieka Mulya Pratiwi Rinaldi Tanjung Rismawati Rismawati Rizkiana Muharam, Ilham Shandi Handrian Juhaeri Sucipto, Bambang Susilawati, Susilawati Tezar Firmansayah Ependi Tiny Rahayu Wahyu Akbar, Tri Sanatha Willy Arafah Winarni, Riani Yohanes Argo Sudarga Yuningsih , Yuyun Yuniati Yuningsih, Yuyun Yuniati Zahafirah, Nida Salma