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All Journal Teknotan: Jurnal Industri Teknologi Pertanian Jurnal SOLMA Jurnal Informasi Sains dan Teknologi (ISAINTEK)
Prastyo, Hadi
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Sosialisasi dan Pelatihan Budidaya Tanaman Unggul untuk Mendukung Program Kampung Buah Mahatmayana, I Ketut Manu; Supriadi, Devie Rienzani; Primajaya, Aji; Syabena, Muhammad Farrel; Fadila, Abil; Prastyo, Hadi
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20701

Abstract

Background: Karanganyar Village, Klari Subdistrict, Karawang Regency has vast land and potential for fruit crop development. By utilizing this vast land, a fruit village can be created, thereby increasing the potential to improve the income of the surrounding community. This activity aims to support the creation of a fruit village to improve food quality and the economy of the village community. Methods: A participatory approach through the dissemination of information on superior crops and the planting of fruit trees as parent plants. Results: The presence of superior parent plants with high productivity can meet the needs and improve the economy of the Karanganyar Village community. Conclusions: The community is able to produce food for family and community needs by having highly productive and adaptive parent plants.
Biomassa Sebagai Sumber Energi Alternatif dan Terbarukan Melalui System Literature Review Prastyo, Hadi; Abil Fadila; Muhammad Farrel Syabena; Umadi, Sarah Sakinah; Andika Yuli Heryanto
Jurnal Informasi, Sains dan Teknologi Vol. 8 No. 2 (2025): Desember: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v8i2.362

Abstract

Biomass as a renewable energy source holds immense potential and is applicable across various industrial sectors, being both renewable and sustainable. Renewable energy derived from biomass is widely recognized as one of the most significant energy alternatives due to its environmental friendliness, as it originates from living organisms and has the capacity and availability to serve as a future energy source. This research aims to identify the development of research on biomass as an energy source, specifically in Indonesia, using the Systematic Literature Review (SLR) technique guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. SLR, which follows standardized rules for identifying and synthesizing relevant studies, provides a comprehensive understanding of the topic's current knowledge base. Data were collected from journals using the Publish or Perish application; an initial search of the Google Scholar database yielded 1600 articles, which were rigorously screened, resulting in 1508 exclusions and 92 inclusions for thorough analysis. Ultimately, this SLR method effectively demonstrates the development of research concerning biomass as a renewable energy source.
Pengembangan Model Prediksi Produksi Padi di Provinsi Jawa Barat Berbasis Integrasi Data Agroklimat Menggunakan Ensemble Machine Learning Fadila, Abil; Syabena, Muhammad Farrel; Khamid, Miftakhul Bakhrir Rozaq; Prastyo, Hadi; Umadi, Sarah Sakinah; Saliha, Ilmiasa
Teknotan: Jurnal Industri Teknologi Pertanian Vol 20, No 2 (2026): TEKNOTAN, Agustus 2026
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jt.vol20n2.18

Abstract

Dinamika cuaca yang tidak menentu menjadi faktor utama yang mempengaruhi variabilitas produksi padi di Jawa Barat dan menuntut penerapan teknologi prediksi yang akurat untuk mendukung pengelolaan produksi pertanian secara efisien dan adaptif. Penelitian ini bertujuan mengembangkan sistem prediksi produksi padi berbasis integrasi data agroklimat menggunakan algoritma ensemble machine learning, yaitu Random Forest (RF) dan Extreme Gradient Boosting (XGBoost). Data yang digunakan meliputi variabel agroklimat berupa curah hujan, suhu udara, kelembapan, dan kecepatan angin serta data historis produksi padi di Provinsi Jawa Barat periode 2018–2024. Pengembangan sistem dilakukan melalui tahapan pra-pemrosesan data, transformasi fitur, pelatihan model, dan validasi menggunakan skema 10-fold cross-validation untuk menjamin stabilitas dan reliabilitas model. Kinerja model dievaluasi menggunakan koefisien determinasi (R²), Mean Absolute Error (MAE), dan Root Mean Square Error (RMSE). Hasil penelitian menunjukkan bahwa algoritma Random Forest memberikan performa terbaik dengan nilai R² sebesar 0,9928, MAE sebesar 16.608,92, dan RMSE sebesar 24.796,55. Variabel luas lahan, curah hujan, suhu, dan kelembapan teridentifikasi sebagai faktor utama yang memengaruhi produksi padi. Sistem yang dikembangkan berpotensi diimplementasikan sebagai teknologi pendukung prediksi produksi padi dengan memanfaatkan data agroklimat sebagai variabel prediktor, sehingga dapat mendukung pengambilan keputusan dalam pengelolaan produksi tanaman dan penerapan pertanian presisi berbasis data guna meningkatkan efisiensi serta ketahanan sistem produksi padi.
Co-Authors Abil Fadila Fadila, Abil Heryanto, Andika Yuli Mahatmayana, I Ketut Manu Miftakhul Bakhrir Rozaq Khamid Muhammad Farrel Syabena Saliha, Ilmiasa Supriadi, Devie Rienzani Syabena, Muhammad Farrel Umadi, Sarah Sakinah