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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat AMMA : Jurnal Pengabdian Masyarakat West Science Social and Humanities Studies Techno Agriculturae Studium of Research EKONOMIKA: Manajemen, Akuntansi dan Perbankan Syari’ah OBOR: Oikonomia Borneo
Sugiarto
Universitas Widya Gama Mahakam
Agriculture, Biological Sciences & Forestry Humanities Chemistry Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Public Health Social Sciences

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Efektivitas dan Hambatan Pengelolaan Zakat Produktif di Samarinda (Studi Kasus pada LAZ DPU KALTIM Sugiarto; Abiyajid Bustami; Aldi Bastiatul Fawait
OBOR: Oikonomia Borneo Vol. 8 No. 1 (2026): April
Publisher : University of Widya Gama Mahakam Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/obor.v8i1.3987

Abstract

Zakat produktif semakin diposisikan sebagai instrumen strategis dalam keuangan sosial Islam karena tidak hanya ditujukan untuk memenuhi kebutuhan konsumsi jangka pendek, tetapi juga diarahkan pada penguatan kapasitas ekonomi dan kemandirian mustahik. Namun demikian, implementasi program zakat produktif pada tingkat lokal masih menghadapi berbagai tantangan manajerial dan kelembagaan yang memengaruhi keberlanjutan program. Penelitian ini bertujuan menganalisis efektivitas dan hambatan pengelolaan zakat produktif pada LAZ DPU Kaltim di Kota Samarinda. Penelitian menggunakan pendekatan kualitatif deskriptif dengan desain studi kasus. Pengumpulan data dilakukan pada Januari– Maret 2026 melalui wawancara mendalam, observasi lapangan, studi dokumentasi, dan telaah formulir penilaian kelayakan mustahik. Informan penelitian terdiri atas dua amil dan empat mustahik. Hasil penelitian menunjukkan bahwa pengelolaan zakat produktif telah menggunakan mekanisme asesmen multidimensi dan penjaringan berbasis komunitas. Namun demikian, masih ditemukan kendala berupa ketidaksesuaian administrasi domisili, keterbatasan kompetensi kewirausahaan penerima, durasi monitoring yang singkat, proses penilaian manual, serta lemahnya orientasi keberlanjutan usaha. Penelitian ini menawarkan perspektif efektivitas zakat produktif berbasis proses kelembagaan yang menekankan kesiapan penerima, pendampingan ahli, digitalisasi asesmen, dan monitoring jangka menengah sebagai faktor penentu keberlanjutan pemberdayaan.
Applications of Artificial Intelligence in Weather Prediction and Agricultural Risk Management in India Aldi Bastiatul Fawait; Puteri Aprilani; Sugiarto Sugiarto; Vann Sok
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1591

Abstract

Agriculture in India is particularly vulnerable to climate change and extreme weather conditions, which can negatively impact productivity and food security. This research was conducted against the background of the importance of developing technology to help farmers in dealing with weather uncertainty and managing agricultural risks. The purpose of this study is to explore the application of artificial intelligence (AI) in accurately predicting weather as well as managing the risks associated with extreme weather in India's agricultural sector. This study uses a descriptive method with a quantitative and qualitative approach, where data is collected through interviews with agricultural experts, analysis of historical weather data, and AI modeling. The results show that the AI application is able to predict weather patterns with an accuracy rate of up to 90%, which helps farmers make more informed decisions regarding planting timing, irrigation, and pesticide use. In addition, AI-based risk management systems allow for early detection of extreme weather, thereby reducing crop losses. The conclusion of the study is that artificial intelligence applications have great potential to improve food security and agricultural productivity in India by helping farmers anticipate weather changes and manage risks more efficiently. However, the adoption of this technology requires adequate training and infrastructure to ensure its optimal use in the field.
Co-Authors Abiyajid Bustami Agus Riyanto Akbar Lufi Zulfikar Aldi Bastiatul Fawait Fawait Arief Yanto Rukmana Badrus Syamsi Karmila La Jupriadi Fakhri Loso Judijanto Merlina Lidiana Arifin Muh Shadiqul Fajri AF Muh. Jamil Nadia Keril Saputri Puteri Aprilani Puteri Aprilani Siti Rohmah Sitti Rahmah Sri Wahyuti Suyanto Suyanto Swadia Gandhi Mahardika Tutik Nugrahini Vann Sok Vemmy Mayditri Yudhi Fajar Saputra