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Rainfall patterns and land use changes on temporal flood vulnerability in Purworejo Regency, Central Java, Indonesia Putri, Tesya Paramita; Retnowati, Arry; Nugroho, Bayu Dwi Apri; Maulana, Edwin
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.123.7739

Abstract

Land use changes and rainfall can trigger inundation. This study aimed to observe the dynamics of spatial patterns of temporal flood vulnerability due to rainfall and land use changes using the Maximum Entropy (MaxEnt) Model. Flood vulnerability was assessed using 12 environmental variables, including elevation, slope gradient, slope direction, slope curvature, Topographic Wetness Index (TWI), flow density, distance from rivers, distance from roads, soil texture, soil aggregates, rainfall, and land use. Rainfall and land use were dynamic variables analyzed in 2013-2023. Past flood occurrence points were obtained using the participatory mapping method. Temporal flood vulnerability mapping in 2013, 2018, and 2023 showed the influence of elevation, Topographic Wetness Index (TWI), and distance from rivers, which were very dominant. Typically, the flood vulnerability pattern formed showed a percentage of moderate (13%), high (17%), and very high (5%) class areas consistently clustered in the southern region. An interesting finding is that rainfall changes have a more significant influence (7.2%), causing the dynamics of high and very high-class vulnerability patterns, compared to the influence of land use changes (0.4%). MaxEnt's flood vulnerability prediction accuracy is classified as very good, as evidenced by its AUC values of 0.835 in 2013, 0.819 in 2018, and 0.824 in 2023. Finally, the findings showed that the accuracy of the MaxEnt Model is classified as very good, so it can be extrapolated globally with similar regional typologies.
Influence of Fertilizer and Mulch Types on Growth and Yield of Curly Chili (Capsicum annuum L.) Tanjung, Jeane Claudea; Nugroho, Bayu Dwi Apri; Mawandha, Hanggar Ganara; Ardhitama, Aristya; Wulan, Indah Retno
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1222-1232

Abstract

Application of fertilizers and mulches can potentially improve crop productivity. However, the effectiveness and sustainability of these inputs depend on how they are managed. The objective of this study is to evaluate the effects of organic and chemical fertilizers, and plastic and bamboo leaf mulches, on the physiological growth and productivity of curly chili (Capsicum annuum L.). Experiment was performed according to a randomized block design with two factors. First factor was fertilizer (P) types consisting of three levels, namely: P0 (no fertilizer), P1 (ecoenzyme organic fertilizer), and P2 (NPK fertilizer). The second factor is the type of mulch (M) consisted of three levels, including M0 (without mulch), M1 (bamboo leaf mulch), and M2 (plastic mulch). Independent parameters included plant height, leaf number, and fruit weight. Results showed that fertilizer type had no significant effect, while plastic mulch significantly improved all parameters. No interaction was observed. These results suggest that plastic mulch effectively enhances chili growth and yield, particularly in the vegetative stage, but its long-term effects warrant further research.   Keywords: Bamboo leaf mulch, Chemical fertilizer, Curly chili, Organic fertilizer, Plastic mulch.
Kontribusi Teknologi Irigasi Pompa dan Pemahaman Petani dalam Mendukung Produksi Tanaman Pangan di Lahan Sawah Tadah Hujan Trinugroho, Muchamad; Arif, Sigit Supadmo; Susanto, Sahid; Nugroho, Bayu Dwi Apri; prabowo, abi
JURNAL PANGAN Vol. 32 No. 3 (2023): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v32i3.732

Abstract

Teknologi irigasi pompa di lahan sawah tadah hujan untuk mendukung produksi tanaman pangan sangat dibutuhkan. Penerapan teknologi irigasi pompa harus mempertimbangkan faktor komponen teknologi serta kesiapan sumber daya manusia secara individu maupun institusi. Tujuan penelitian ini adalah menganalisis kontribusi faktor teknologi dan menjelaskan tingkat pemahaman petani terhadap penerapan teknologi irigasi pompa. Metodologi penelitian yang digunakan terdiri dari metode teknometri dan analisis deskriptif menggunakan 40 kuesioner yang diedarkan kepada petani, pengelola kelompok tani, dan pengelola irigasi di Desa Tambakromo di Kecamatan Cepu. Hasil penelitian menunjukkan tingkat pemahaman responden dari kuat sampai sangat kuat tehadap kandungan teknologi technoware, humanware, orgaware dan infoware. Hasil analisis tingkat pemahaman petani terhadap teknologi dan komponennya termasuk dalam kategori kuat dan sangat kuat, sedangkan hasil analisis teknometrik kandungan teknologi menunjukkan teknologi irigasi pompa air dalam kategori semi modern dan tingkatan yang baik. Hasil kajian ini sebagai masukan bagi pemerintah, petani dan pihak yang berkepentingan yang lain dalam menentukan strategi yang tepat dalam penerapan teknologi irigasi di lahan sawah tadah hujan.
Rainfall Thresholds Analysis for Early Warning of Landslides in The Bompon Watershed Ulul Albab, Milya Aflah; Nugroho, Bayu Dwi Apri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.628-636

Abstract

The transitional zone between the central and southern morphologies of Java is characterized by steep slopes and thick soil. On the other hand, high rainfall in the area poses a potential threat of landslide hazards. This research is conducted in the Bompon Watershed, located in the transitional zone between Mount Sumbing and the Menoreh Mountains. This study aims to examine the rainfall dynamics leading to landslides in the Bompon Watershed using rainfall threshold analysis. Intensity and duration are selected as parameters to establish the rainfall threshold model. The research findings indicate that long-duration rainfall is the dominant cause of landslides in the Bompon Watershed. High-intensity rainfall can trigger landslides when lasting for more than one day. The established rainfall threshold equation in the Bompon Watershed is I = , where I is intensity and D is duration. The effects of long-duration rainfall include raising the groundwater level, thereby increasing the slope load. The presence of clay in the Bompon Watershed can hinder proper rainwater infiltration. Poorly infiltrated water adds to the slope load and induces slope instability. The calculated rainfall threshold can serve as the basis for early landslide warning systems. Keywords: Landslide, Rainfall threshold, Bompon watershed, Rrainfall intensity, Rainfall duration
Environmental Factors and Mulching Effects on Soil Nitrogen in Organic Curly Chili (Capsicum annuum L.) Cultivation for Sustainable Agriculture Wulan, Indah Retno; Nugroho, Bayu Dwi Apri; Setyawan, Chandra; Tanjung, Jeane Claudea; Ardhitama, Aristya
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1829-1842

Abstract

Nitrogen availability is a critical determinant of chili yield, and its dynamics are influenced by environmental conditions and cultivation practices such as mulching. This study aimed to evaluate the combined effects of environmental factors and mulching on soil nitrogen levels in curly chili (Capsicum annuum L.) cultivation using organic fertilizer under a sustainable agriculture framework. The experiment used a randomized block design with 24 plots and three treatments: no mulch (P1M0), organic mulch with bamboo leaves (P1M1), and inorganic mulch with plastic (P1M2). Monitoring was conducted for 4 months on soil pH, volumetric water content (VWC), electrical conductivity (EC), temperature, rainfall, solar radiation, humidity, and wind speed. Results showed that soil nitrogen was highest in no mulch (31.1 mg/kg), followed by organic mulch (28.8 mg/kg), and lowest in inorganic mulch (25.6 mg/kg). ANOVA confirmed that organic mulch was comparable to no mulch, but significantly better in maintaining nitrogen than inorganic mulch. Regression analysis identified electrical conductivity as the strongest positive predictor across all treatments, while soil pH showed negative effects and average temperature tended to reduce nitrogen under no mulch conditions. Model accuracy was strong (R²: P1M0 = 0.799, P1M1 = 0.799, P1M2 = 0.699). The use of bamboo leaves can be an alternative in maintaining soil nitrogen availability. Mulching practices adapted to environmental conditions can enhance soil fertility and support sustainable chili production.
Model Denitrification Decomposition (DNDC) Untuk Estimasi Emisi Gas Ch4 Pada Budidaya Padi Metode System of Rice Intensification (SRI) Nihayah, Badi’atun; Nugroho, Bayu Dwi Apri; Hasanah, Nur Aini Iswati
Jurnal Riset Daerah Vol 21 No 3 (2021): JURNAL RISET DAERAH
Publisher : Badan Perencanaan Pembangunan Daerah Kabupaten Bantul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64730/jrdbantul.v21i3.59

Abstract

Rice cultivation is the main emission source in the agricultural sector, contributes to greenhouse gases, especially CH4. Reduction efforts CH4 gas emissions in this study carries out by integrating technological components among varieties, fertilizers, and intermittent irrigation through the cultivation of the System of Rice Intensification (SRI) method. This study aims to determine the effect of varieties and fertilization on CH4 gas emissions during one growing season and model CH4 emissions. Denitrification-Decomposition (DNDC) model predicts greenhouse gas emissions, which is CH4 from agricultural ecosystems. It uses a Nested Design with two treatment factors, namely fertilization consisting of manure and MOL (P1) and manure, ZA, SP36, and KCl (P2), and the various treatment, Ciherang (C) and IR-64 (IR). Results of observations showed the highest total CH4 emission was in the P1-IR treatment of 136.36 kg/ha/season, and the lowest was the P2-IR treatment of 88.09 kg/ha/season. Simulation results using DNDC also showed the P1-IR treatment produced the highest total CH4 emissions of 143 kg/ha/season, and the lowest was P2-IR treatment of 59 kg/ha/season. Evaluation of DNDC observation and simulation model for average daily CH4 flux with R2 and RMSE values ​​for each treatment, namely P1-C; P1-IR ; P2-C and P2-IR respectively (R2 = 0.65 ; RMSE = 13.19) ; (R2 = 0.003 ; RMSE = 3.55) ; (R2 = 0.17 ; RMSE = 32.06) and (R2 = 0.35 ; RMSE = 12.25). Results of the DNDC simulation still require optimization for the estimation of CH4 emissions at different fertilization and varieties.