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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Mohammad Iwan Wahyuddin
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Environmental Science Public Health Social Sciences

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Pemberdayaan Petani Kopi Manggarai Timur melalui Optimisasi Pemasaran Berbasis Website Interaktif Andryana, Septi; Teddy Mantoro; Ben Rahman; Aris Gunaryati; Mohammad Iwan Wahyuddin; Abdul Rahman Wijaya Putra
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 3 (2025): Agustus
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v4i3.223

Abstract

Indonesia is one of the world's leading coffee producers, offering a wide variety of flavors and characteristics across its regions, including the eastern part of the archipelago. One promising area is Rende Nao Village, located in Lamba Leda Timur District, East Manggarai Regency, which is known for its Colol coffee. Despite its high quality and strong market potential, the use of digital media for marketing remains limited. The East Manggarai Coffee Farmers Association (ASNIKOM) has established an official website; however, low levels of digital literacy and ineffective content management hinder efforts to expand market reach and build a strong digital product identity. In response to these challenges, this community engagement program was conducted to introduce the concept of an interactive website as an initial strategy to enhance the digital marketing capacity of local coffee farmers. The program employed a participatory and educational approach, involving discussions, needs assessments, and demonstrations of basic website features. Rather than focusing on advanced technical training, the initiative emphasized conceptual understanding and content planning based on local input. As a result, the program increased awareness of the potential of digital marketing and led to the development of an initial strategy for ASNIKOM’s website, laying the foundation for strengthening farmers’ digital competencies as an adaptive step toward sustainable and technology-based coffee marketing practices.
ENHANCING COFFEE PRODUCTION FACTOR ASSESSMENT USING LINEAR REGRESSION AND AHP FOR RELIABLE WEIGHT CONSISTENCY Aris Gunaryati; Teddy Mantoro; Septi Andryana; Benrahman; Mohammad Iwan Wahyuddin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6788

Abstract

The agricultural sector, particularly coffee production, plays a crucial role in Indonesia’s economy as both a domestic commodity and an export product. However, efforts to optimize coffee production are often constrained by traditional Multi-Criteria Decision-Making (MCDM) methods that rely heavily on subjective judgments, leading to potential inconsistencies—especially in the presence of multicollinearity among variables. This study addresses that challenge by proposing a data-driven and consistent weighting method that integrates Multiple Linear Regression (MLR) with the Analytic Hierarchy Process (AHP). Regression coefficients derived from MLR—based on variables such as the area of immature (-0.2419), mature (0.8357), and damaged (0.5119) coffee plantations—are normalized and incorporated into the AHP pairwise comparison matrix. The resulting Consistency Ratio (CR) values are all below 0.1, indicating high internal consistency and statistical reliability of the derived weights. This integrated approach offers an objective and systematic foundation for MCDM in coffee production analysis, enhances the accuracy of agricultural planning, and supports evidence-based policymaking, while also providing a replicable model for addressing similar challenges in other sectors
ENHANCING COFFEE PRODUCTION FACTOR ASSESSMENT USING LINEAR REGRESSION AND AHP FOR RELIABLE WEIGHT CONSISTENCY Aris Gunaryati; Teddy Mantoro; Septi Andryana; Benrahman; Mohammad Iwan Wahyuddin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6788

Abstract

The agricultural sector, particularly coffee production, plays a crucial role in Indonesia’s economy as both a domestic commodity and an export product. However, efforts to optimize coffee production are often constrained by traditional Multi-Criteria Decision-Making (MCDM) methods that rely heavily on subjective judgments, leading to potential inconsistencies—especially in the presence of multicollinearity among variables. This study addresses that challenge by proposing a data-driven and consistent weighting method that integrates Multiple Linear Regression (MLR) with the Analytic Hierarchy Process (AHP). Regression coefficients derived from MLR—based on variables such as the area of immature (-0.2419), mature (0.8357), and damaged (0.5119) coffee plantations—are normalized and incorporated into the AHP pairwise comparison matrix. The resulting Consistency Ratio (CR) values are all below 0.1, indicating high internal consistency and statistical reliability of the derived weights. This integrated approach offers an objective and systematic foundation for MCDM in coffee production analysis, enhances the accuracy of agricultural planning, and supports evidence-based policymaking, while also providing a replicable model for addressing similar challenges in other sectors
Co-Authors Abdul Rahman Wijaya Putra Aris Gunaryati Ben Rahman Benrahman Septi Andryana Teddy Mantoro