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All Journal International Journal of Community Service Journal of Informatics and Electronics Engineering
Fanissa Narita
Industrial Informatics Engineering of Politeknik Jatiluhur , Indonesia
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AI-Based Market Intelligence as a Strategic Tool for Local MSME Development in West Java Suhendri; Dina Hidayat; Novasa Adiyani; Endang Ahmad; Fanissa Narita; Nico Irawan; Egi Sucianti
International Journal Of Community Service Vol. 6 No. 2 (2026): May 2026 ( Indonesia - Thailand - Malaysia - Philippines)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i2.986

Abstract

Local Micro, Small, and Medium Enterprises (MSMEs) in Purwakarta, particularly ceramic craftsmen in Plered District, have strong potential to contribute to regional economic growth and enter broader export markets. However, they still face several major problems, including inconsistent product quality, limited design innovation, weak packaging standards, insufficient branding, limited digital marketing capacity, and low readiness to meet export market requirements. The gap identified in this activity is the limited integration between traditional ceramic production practices and modern market-oriented strategies, especially in quality control, product differentiation, digital promotion, and export preparation. Current developments show that MSME competitiveness is increasingly influenced by product innovation, digital marketing, branding, packaging quality, and export readiness. Therefore, this community service activity applied a participatory mentoring approach through field observation, discussion, consultation, and practical recommendations for ceramic craftsmen in Plered. The proposed solution focused on strengthening product quality, improving design and packaging, developing brand identity, optimizing digital marketing, and preparing MSMEs for export-oriented market access. The results indicate that the mentoring activity increased the awareness of ceramic craftsmen regarding product competitiveness, market standards, and the importance of continuous innovation. In conclusion, ceramic MSMEs in Plered have strong potential to improve their competitiveness in the export market when supported by consistent mentoring, quality standardization, strategic branding, digital promotion, and collaboration between higher education institutions, local industry, and community stakeholders.
Peningkatan Kontras Citra Bawah Air Menggunakan Metode CLAHE (Contrast Limited Adaptive Histogram Equalization) Febryawan Yuda Pratama; Asep Sugiharto; Fanissa Narita; Suhendri Suhendri; Dikka Syahrial Wiguna
Journal of Informatics and Electronics Engineering Vol. 6 No. 01 (2026): Juni 2026
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jiee.v6i01.1618

Abstract

Kualitas citra bawah air umumnya buruk akibat penyerapan dan penyebaran cahaya di lingkungan perairan, yang menyebabkan keterbatasan jarak pandang kamera dan menghasilkan citra dengan kontras rendah, warna kabur, serta informasi visual yang berkurang. Maka dari itu penyerapan cahaya oleh air laut dan penyebaran cahaya oleh partikel kecil di lingkungan air laut telah menjadi sebuah rintangan dari penelitian citra bawah air dengan kamera. Hal ini dikarenakan memberikan dampak keterbatasan jarak pandang kamera dalam air laut. Citra atau gambar air bawah laut memang menjadi pekerjaan menantang karena kendala utamanya adalah kualitas gambar rusak karena penyerapan cahaya dan penyebaran cahaya. Peningkatan kualitas kontras citra pada dasarnya meningkatkan persepsi atau kemampuan menerjemahkan informasi gambar untuk manusia dan memberikan masukan “lebih baik” pada teknik pengolahan citra otomatis yang lain. Penelitian ini mengusulkan metode Contrast Limited Adaptive Histogram Equalization (CLAHE) untuk meningkatkan kontras citra bawah air khususnya pada ekosistem terumbu karang. Metode CLAHE bekerja dengan membagi citra ke dalam tile-tile kecil, membentuk histogram tiap region, memotong histogram dengan clip limit, mendistribusikan excess ke bagian lain, dan melakukan interpolasi bilinear antar tile. Eksperimen dilakukan terhadap 200 frame citra bawah air berukuran 1280×720 piksel menggunakan MATLAB. Hasil pengukuran menggunakan SURF feature points menunjukkan rata-rata PTS original sebesar 1.198,67 dan rata-rata PTS CLAHE sebesar 1.503,91. Pengujian statistik dengan SPSS v20 menghasilkan analisis varian image original sebesar 62.210,198 dan CLAHE sebesar 68.800,110 dengan nilai signifikansi 0,000 dan korelasi 0,999. Hasil ini membuktikan bahwa metode CLAHE secara signifikan meningkatkan kualitas kontras citra bawah air tanpa merusak informasi citra asli.
Co-Authors Adiyani, Novasa Asep Sugiharto Dikka Syahrial Wiguna Dina Hidayat Egi Sucianti Endang Ahmad Febryawan Yuda Pratama Nico Irawan Suhendri Suhendri