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All Journal SENTRI: Jurnal Riset Ilmiah Curtina
Ainur Rochmah
Universitas PGRI Ronggolawe
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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RANCANG BANGUN PEMBERIAN PAKAN OTOMATIS DAN PENGATURAN SUHU UNTUK OPTIMASI PROSES TERNAK AYAM MENGGUNAKAN ARDUINO BERBASIS IOT (Internet of Things) Nanan Darsani; Dwi Kurnia Basuki; Fitroh Amaluddin; Aris Wijayanti; Ainur Rochmah
Curtina Vol 4 No 1 (2023)
Publisher : Program Studi Teknik Informatika Universitas PGRI Ronggolawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/curtina.v4i1.824

Abstract

Pada penelitian ini dirancang sebuah alat yaitu alat pemberi pakan dan pengatur suhu otomatis untuk ayam pedaging berbasis IoT (Internet of Thing) pada kandang tertutup. Iot pada penelitian ini menggunakan Software ThingSpeak. Dalam penelitian ini dirancang motor servo yang akan bergerak buka tutup untuk memberikan pakan (secara otomatis) sebanyak dua kali dalam sehari. Aktuator suhu pada alat ini berupa lilin dan kipas/AC. Komponen utama sebagai perintah input Iot dan sebagai pemicu program adalah pushbutton Send Comment. Sedangkan output adalah relay sebagai pemicu kerja lampu dan kipas. Hasil pengujian menunjukkan bahwa alat ini mampu bekerja sesuai dengan yang diharapkan.
Spatial-Temporal Drought Analysis in Jatirogo Subdistrict Using Normalized Difference Drought Index (2020-2025) Ainur Rochmah; Amaludin Arifia; Marita Ika Joesidawati; Fajar Rahmawan
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5516

Abstract

Drought is a recurring hydrometeorological hazard in Indonesia, particularly affecting regions with high rainfall variability and rainfed agriculture dependence. This study analyzes spatial-temporal drought patterns in Jatirogo Subdistrict, Tuban Regency, East Java (2020-2025) using the Normalized Difference Drought Index (NDDI) from Sentinel-2 imagery. The methodology involved image preprocessing, NDVI and NDWI calculation, NDDI derivation, and GIS-based drought classification. Results show strong seasonal patterns with peak severity during August-October, where moderate to severe drought dominated 65-80% of the area annually. The most severe conditions occurred in 2023-2024, with NDDI values exceeding 1.0. Villages including Kebonharjo, Sugihan, Demit, Bader, and Sekaran were identified as highly vulnerable. NDDI-based mapping revealed significant correlations with sectoral impacts: severe drought periods (NDDI > 0.8) corresponded with 40-60% crop yield reductions in rainfed paddies, increased irrigation demand, critical groundwater depletion, and elevated food security vulnerabilities among smallholder farmers. This study demonstrates that Sentinel-2 NDDI integration with GIS effectively supports village-level drought monitoring and provides essential spatial information for targeted mitigation strategies, including water resource management, adaptive agricultural planning, and early warning systems.
Co-Authors Amaludin Arifia Aris Wijayanti Dwi Kurnia Basuki Fajar Rahmawan Fitroh Amaluddin Marita Ika Joesidawati Nanan Darsani