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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Karya Nyata: Jurnal Pengabdian Kepada Masyarakat
Ardian Hudi Ramadhani
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice

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Efisiensi Pemupukan Tembakau melalui Inovasi Alat Penabur Pupuk PVC Ardian Hudi Ramadhani; Diajeng Rizawati; Ulyn Nuha; Angelica Al'maliki Saliha; Shenda Amalia; Afiv Wahyudi
Karya Nyata : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 3 (2025): September : Karya Nyata : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karyanyata.v2i3.2197

Abstract

Appropriate technology innovation (TTG) in agriculture is an important solution in improving farmers' work efficiency, especially in the fertilization process. In Pamotan Village, where the majority of the population are tobacco farmers, the fertilization method is still done manually by sowing on the soil surface. This method often causes uneven distribution of fertilizer, wastage of energy and time, and a lot of fertilizer lost by water or wind. This community service activity aims to introduce a manual fertilizer sowing tool made from PVC as a simple, cheap, and easy-to-use solution for farmers. The implementation method includes counseling, tool demonstration, and direct training to farmer groups as activity partners. Evaluation was conducted through observation and questionnaires before and after the activity. The results showed an increase in farmers' understanding of efficient fertilization, as well as a positive response to the tools that were considered practical and economical. The use of this seedling tool can save up to 30% fertilizer and speed up the fertilization process by 40%. Thus, this manual fertilizer seedling tool is effective in helping farmers improve work efficiency and productivity, and is very suitable for small-scale farmers in rural areas.
Integrasi Metode Hybrid Recommendation dan Random Forest Regression untuk Optimasi Prediksi Durasi Menginap pada Sistem Pemesanan Kos Berbasis Web Mufti Ari Bianto; Hanif Azhar Ramadhan; Ardian Hudi Ramadhani; Tsalits Wildan Hamid
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 3 (2025): Desember : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i3.6591

Abstract

This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.
Co-Authors Afiv Wahyudi Angelica Al'maliki Saliha Diajeng Rizawati Hanif Azhar Ramadhan Mufti Ari Bianto Shenda Amalia Tsalits Wildan Hamid Ulyn Nuha