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All Journal Indonesian Community Service and Empowerment Journal (IComSE) SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Irawan, Rivaldy
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Arts Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation

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LOCAL ECONOMIC EMPOWERMENT THROUGH THE DEVELOPMENT OF MSMEs AND TOURISM BASED ON LOCAL WISDOM IN LINTANG VILLAGE, EAST BELITUNG Ary, Maxsi; Anshori, Iedam Fardian; Hariyanti, Ifani; Rahadi, Panji Firman; Irawan, Rivaldy; Sulaeman, Aqil Tama
Indonesian Community Service and Empowerment Journal (IComSE) Vol. 6 No. 1 (2025): Indonesian Community Service and Empowerment Journal (IComSE)
Publisher : Divisi Pengabdian dan Pemberdayaan Masyarakat (DP2M) UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/icomse.v6i1.14459

Abstract

Lintang Village, located in East Belitung, possessed significant potential for local economic development through micro, small, and medium enterprises (MSMEs) and tourism based on local wisdom. The village was known for its traditions and rich natural resources, such as cultivating pepper (white pepper), spices, and traditional fishing techniques. Additionally, natural attractions like Tebat Rasau and cultural sites such as Kubok Tuk Layang offered unique tourism opportunities. This study aimed to explore the economic potential of the village through approaches grounded in local wisdom and community traditions. This study aimed to explore the economic potential of the village through approaches grounded in local wisdom and community traditions. The study adopted a qualitative case study approach, with data collected through field observations, interviews with stakeholders, and document analysis. A SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis was applied to evaluate the development potential of MSMEs and tourism, identify key challenges, and formulate strategies for local economic empowerment. The findings revealed that MSMEs rooted in local wisdom had significant opportunities for growth, including honey-based products, handcrafted items made from rattan and bamboo, and organic agricultural products. Additionally, cultural and educational tourism had the potential to attract both domestic and international visitors. However, the village faced several challenges, such as a lack of support from local authorities, limited market access, and inadequate entrepreneurial training for the local community. To address these challenges, proposed strategies included digitizing village administration, providing entrepreneurial training, promoting tourism through online platforms, and collaborating with higher education institutions through community service programs and innovative research. By implementing these strategies, Lintang Village demonstrated potential to become a sustainable model for local economic empowerment based on local wisdom.
PEMBUATAN SISTEM DETEKSI PERGERAKAN TUBUH DAN WAJAH DI KOS-KOSAN DENGAN METODE CLUSTERING fauzan, Muhamad Rizal; Rismayadi, Ali Akbar; irawan, Rivaldy; Sulaiman, Aqil Tama
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 8 (2024): STIMA 8.0 : Menuju Kesinambungan : Inovasi dan Adaptasi Teknologi untuk Pembangunan Be
Publisher : Universitas Majalengka

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Abstract

This paper presents the development of a system designed to detect body and facial movements in boarding houses using clustering methods. The primary goal of the system is to enhance security and monitor the activities within these living spaces. The system utilizes advanced clustering algorithms to accurately identify and classify different types of movements, distinguishing between normal daily activities and potential security threats.The implementation of this system involves the integration of multiple sensors and cameras strategically placed throughout the boarding house. These devices collect data on movements, which is then processed using clustering techniques to identify patterns and anomalies. The clustering method helps in grouping similar movement patterns together, facilitating the detection of unusual activities.This detection system not only contributes to improved safety and security but also provides insights into the behavior and daily routines of the occupants. By analyzing the clustered data, it becomes possible to identify trends and potential issues that may require attention. The findings from this research demonstrate the effectiveness of clustering methods in movement detection and highlight their potential applications in various security and monitoring contexts
Co-Authors Ali Akbar Rismayadi, Ali Akbar fauzan, Muhamad Rizal Hariyanti, Ifani Iedam Fardian Anshori, Iedam Fardian MAXSI ARY Rahadi, Panji Firman Sulaeman, Aqil Tama Sulaiman, Aqil Tama