Afif Amiluddin
Universitas Mochammad Sroedji

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Local Food Optimization through Mustard Nugget Processing Innovation Based on Economic Empowerment of Ledokombo Village Community Amiluddin, Afif; Luqman, Moh; Latifah, Betama Nur; Badriyah, Firdatul; Najilah, Lailatul; Ildayani; Sholehah, Nurfikri Yatus; Wati, Widya Anggraini Eka; Zakia, Nabila Hainun; Hudzaifah; Firmansyah, Wildan Rizqy; Nuraini, Rofifah; Maghfiroh, Siti; Riyani, Vella Putri; Octabryan, Agista Ezha
Indonesian Journal of Community Services Cel Vol. 3 No. 3 (2024): Indonesian Journal of Community Services Cel
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ijcsc.v3i3.83

Abstract

Ledokombo Village is situated in a highland area, and most of its residents are farmers. One of the primary commodities cultivated is mustard greens (sawi). However, simultaneous harvesting often leads to oversupply, causing the price of mustard greens to drop significantly. To address this issue, there is a need for solutions to enhance the selling price of mustard greens through processing into other products. In response to this potential, students from the Collaborative KKN Posko 195 initiated a training program for making Frozen Food Sawi Nuggets for the community, mainly targeting the mothers who are cadres of the posyandu (integrated health service post) in Ledokombo Village. This activity was conducted from August 10 to August 15, 2024, at the KKN Posko 195, with the following objectives: to increase the absorption of mustard greens, to provide the community with an understanding of processed mustard green products, and to enhance motivation in creative economics. The training covered various stages, from ingredient preparation to processing, concluding with a socialization session held at the village hall. Participants showed high enthusiasm throughout the training, and the outcome of this activity was an increased understanding of processed mustard greens as Frozen Food Nuggets. This initiative improved the absorption of mustard greens and encouraged the consumption of processed vegetable products. The positive impacts included the enhancement of micro, small, and medium enterprises (MSMEs), a reduction in stunting, and the strengthening of food security in Ledokombo Village.
Pemetaan Zonasi Banjir Bandang Menggunakan Metode Frekuensi Rasio dan Weight of Evidence di Sumberjambe Jember Amiluddin, Afif; Derka, Icha Tatrisya; Faradella, Maulida; Sugianti, Devi Hanurani; Katminto, Katminto; Novita, Elida; Hidayah, Entin
Teknotan: Jurnal Industri Teknologi Pertanian Vol 20, No 1 (2026): TEKNOTAN, April 2026
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jt.vol20n1.13

Abstract

Bencana banjir bandang di kecamatan Sumberjambe mengakibatkan kerusakan saluran air bersih bagi masyarakat. Kondisi tersebut menunjukan perlunya informasi area yang aman untuk pemasangan pipa air bersih. Hal ini menunujukan  diperlukannya informasi mengenai zonasi area banjir bandang, sebagai bentuk antisipasi dan mitigasi supaya tidak berdampak serupa dan mengurangi potensi korban jiwa. Tujuan umum Penelitian ini adalah membuat peta zonasi bencana banjir bandang berbasis Sistem Informasi geografis (SIG) dan Penginderaan Jauh. Tujuan Khusus penelitian mencakup, Identifikasi dan inventarisasi data berbasis survei lapangan dan penginderaan jauh. Menentukan faktor alam yang berpengaruh yaitu, Elevasi, Kemiringan Tanah, Indeks kesehatan tanaman (NDVI), Tataguna Lahan, Jarak Terhadap Sungai, Kepadatan Sungai, dan Indeks Kelembapan Topografi (TWI). Menentukan faktor yang memiliki kontribusi besar terhadap kejadian  menggunakan statistik bivariat Frekuensi Rasio (FR) dan Weight of Evidence (WoE). Penelitian ini terdiri dari survei lapangan kejadian banjir bandang, pembagian sampel, inventarisasi data faktor, perhitungan bobot faktor, perhitungan faktor dan Analisis Area Under the Curve (AUC). Hasil evaluasi AUC menunjukan tingkat akurasi FR 0.96 dan WoE0.82, FR menghasilkan model dengan akurasi yang lebih baik di wilayah studi.