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All Journal Jurnal Abdi Insani Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Ma’arif, Wildan Mufti
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REVITALISASI WISATA WATU JONGGOL MELALUI PENDEKATAN ABCD DESA PANDANSARI KABUPATEN NGAWI JAWA TIMUR Warnadhani, Etmin; Ma’arif, Wildan Mufti; Faiza, Nurul; Zulfian, Moch Rifqi Putra; Rosyadi, Imron
Jurnal Abdi Insani Vol 12 No 7 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i7.2745

Abstract

Pariwisata alam Ngawi, khususnya Watu Jonggol, memiliki potensi besar namun mengalami penurunan akibat minimnya pengelolaan dan partisipasi masyarakat. Sementara destinasi lain mengalami peningkatan, Watu Jonggol justru terbengkalai. Pendekatan Asset-Based Community Development (ABCD) dinilai relevan untuk memulihkan destinasi melalui pemanfaatan aset lokal dan keterlibatan komunitas, sehingga keberlanjutan pariwisata berbasis potensi desa dapat tercapai secara partisipatif dan berdaya guna. Penelitian ini bertujuan merancang model revitalisasi Watu Jonggol berbasis pendekatan ABCD untuk mengoptimalkan aset lokal, meningkatkan partisipasi masyarakat, serta mendorong pertumbuhan ekonomi dan kunjungan wisata berkelanjutan.Kegiatan pengabdian ini menggunakan metode kualitatif deskriptif dengan pendekatan fenomenologis serta lima tahapan ABCD, yaitu inkulturasi, discovery, design, define, dan reflection. Data dikumpulkan melalui observasi, wawancara, dan diskusi kelompok terfokus (FGD). Hasil kegiatan menunjukkan bahwa pendekatan sosial melalui kunjungan rumah dan partisipasi warga membangun kepercayaan awal. Pemetaan aset dan masalah dilakukan dengan observasi dan wawancara. Sembilan aksi prioritas disepakati dan dilaksanakan secara gotong royong. Promosi digital dilakukan melalui pelatihan Karang Taruna dan pengelolaan media sosial. Evaluasi menunjukkan peningkatan kondisi fasilitas dan jangkauan daring. Forum refleksi menetapkan mekanisme pasca-program, memperkuat keberlanjutan. Model ini membuktikan efektivitas pendekatan partisipatif dan digital dalam merevitalisasi destinasi berbasis potensi lokal. Revitalisasi Watu Jonggol berhasil membangun kemandirian warga melalui pendekatan ABCD dan promosi digital berbasis media sosial.
KLASIFIKASI IMAGE JENIS UBUR UBUR MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN) Ma’arif, Wildan Mufti; Rizqi, Ramadhani Akbaru; Rolliawati, Dwi
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 1 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i1.2632

Abstract

This study aims to classify jellyfish species based on visual images using the Convolutional Neural Network (CNN) method. The main challenge lies in the morphological similarities between species, making manual identification prone to errors. This research employs a dataset containing images of six jellyfish species: Moon Jellyfish, Blue Jellyfish, Mauve Stinger Jellyfish, Compass Jellyfish, Barrel Jellyfish, and Lion's Mane Jellyfish. The dataset undergoes preprocessing techniques such as normalization, dimension adjustment, and image augmentation.The designed CNN model consists of convolutional and pooling layers to recognize complex visual patterns. Model testing was conducted using validation and test datasets, achieving a classification accuracy of over 90%. These results demonstrate the effectiveness of the CNN method in addressing the challenges of automatic marine species identification.This study is expected to contribute to marine biodiversity conservation and support the development of AI-based technologies for ecosystem management. The implications include broader applications in marine species identification and environmental preservation.
Co-Authors Faiza, Nurul Imron Rosyadi Rizqi, Ramadhani Akbaru Rolliawati, Dwi Warnadhani, Etmin Zulfian, Moch Rifqi Putra