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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Rekursif: Jurnal Informatika IT JOURNAL RESEARCH AND DEVELOPMENT Cendekia : Jurnal Pengabdian Masyarakat TRIBUTE: JOURNAL OF COMMUNITY SERVICES
Julia Purnama Sari
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : Rekursif: Jurnal Informatika

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Analisis Komparatif Metode Peningkatan Kontras Citra Bawah Air Menggunakan HE, AHE, dan CLAHE Ernawati, Ernawati; Oktoeberza, Widhia KZ; Andreswari, Desi; Purnama Sari, Julia; Erlansari, Aan; Farady Coastera, Funny; Dwi Jayanto, Paksi
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 13 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.42151

Abstract

significant challenge in the field of digital image processing due to poor lighting conditions and uneven intensity distribution. This study aims to compare three contrast enhancement techniques Histogram Equalization (HE), Adaptive Histogram Equalization (AHE), and Contrast Limited Adaptive Histogram Equalization (CLAHE) applied to underwater imagery. The evaluation was conducted using quantitative metrics including entropy, contrast (RMS), and Structural Similarity Index (SSIM) to assess the improvement in image detail, intensity distribution, and structural similarity to the original image. Experimental results indicate that AHE achieves the highest entropy values, reflecting a significant enhancement of local information. HE provides the highest contrast values but tends to compromise the structural integrity of the image. CLAHE demonstrates the most balanced performance, producing the highest SSIM scores while maintaining stable enhancements in both contrast and detail. Based on these findings, CLAHE is recommended as the most effective contrast enhancement technique for underwater images, as it improves visual quality while preserving the original image structure. Key words : Underwater image enhancement; Contrast enhancement; CLAHE; HE; AHE.
Penerapan Metode Multi Attribute Utility Theory (MAUT) Untuk Menentukan Prioritas Penerima Bantuan Bencana Alam (Studi Kasus: BPBD Bengkulu Tengah) Wahyudi, Rahmat Fikri; Andreswari, Desi; Purnama Sari, Julia
Rekursif: Jurnal Informatika Vol 13 No 2 (2025): Volume 13 Nomor 2 November 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i2.43289

Abstract

Indonesia, as an equatorial archipelago located between the Asian and Australian continents, faces high risks of natural disasters, particularly floods and landslides. These disasters cause various adverse impacts, such as infrastructure damage, psychological trauma, and social and economic losses for victims. The Regional Disaster Management Agency (BPBD), as the primary institution for disaster response, must provide effective services for community recovery, thus requiring a fast and accurate system. Therefore, this research aims to develop a Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method to assist BPBD in determining priority recipients of disaster aid. The advantage of the MAUT method lies in its ability to process multi-criteria decisions, consider stakeholder preferences, and produce quantitative and transparent outputs. The system was built using PHP and designed with Unified Modeling Language (UML). Testing was conducted on 16 alternative datasets, producing a priority ranking based on the highest scores. Accuracy tests showed an 87.5% success rate, while black-box testing achieved 100%. The highest preference score (0.92083) proves MAUT's accuracy in decision-making.
Co-Authors Aan Erlansari Afriliani, Dia Akbar, Achmad Angraini, Noverina Annisa Fitria Edriani Anugrah Mahesya, Andes Ari Anggoro Arie Vatresia Assabillah, Muhammad Aulia, Ramadha Ayub Sugara Dearti, Fitri Desi Andreswari Dwi Jayanto, Paksi Dwi Kurniawan, Bagas Ernawati Ernawati Fakhirah Fitranita, Vika Funny Farady Coastera Juwandi, Dwidriandito Lindung Zalbuin Mase Lubis, Bustanudin Makhrian, Andi Makhrian, Andy Mery Leyani, Etika Moneka, Kostari Nanda Putri, Lyra Nur Arief Putri, Viche Okta Asmaranti, Arini Oktoeberza, Widhia KZ Putri Amanda, Ericha Rangga Aditya, Muhammad Rosi L. Vini Siregar Siti Nur Azizah, Siti Susanto, Jefri Tanzul, Muhammad Tarisa Utama, Ferzha Putra Wahyudi, Rahmat Fikri Win Syaputra, Edo Yudi Setiawan Yuriz Silviani, Nandini Zaili Rusli