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Soil Damage Potential Index Based on Weighting Scoring Analysis and Utilization of Geographical Information Systems Basuki Basuki; Subhan Arif Budiman; Laily Mutmainnah; Muhammad Ghufron Rosyady
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 11, No 4 (2022): Desember 2022
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i4.601-616

Abstract

Indonesia's population in 2021 will increase by 0.92% from 2020. The increasing population demands the fulfillment of food. Land changes and their consequences indicate land damage. The purpose of the study was to assess the soil damage potential index (SDPI) on the slopes of Mount Argopura through terrain analysis and the use of geographic information system technology. The research was carried out on the slopes of Mount Argopura in 2022. The tools used included a clinometer, a GPS, spectrophotometer, AAS, arc GIS 13 and minitab. The materials included administrative maps, soil maps, slope maps, RBI maps, land use maps, rainfall maps. This research is descriptive exploratory with field survey method. The activity is divided into 3 stages, namely pre-survey, field survey, and post-survey. Research parameters include texture, soil thickness, soil type, soil pH, CEC, base saturation, soil drainage, parent material, landform, relief, rainfall, and land use. Based on the results of the study, the SDPI with an area of 22,148.75 ha was in the heavy category 44.12% (9772.28 ha), the medium category was 53.11% (11762.84 ha), and the light category was 2.77% (613.63 ha). Keywords:  Geographic Information System, Land Degradation, Mount Argopura, Soil Damage
Kinerja Convolutional Neural Network untuk Klasifikasi Level Kadar Air Tanah Berdasarkan Gambar Permukaan Tanah Hasbi Mubarak Suud; Subhan Arif Budiman; Ebban Bagus Kuntadi; Dwi Erwin Kusbianto; Ika Purnamasari
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.571-579

Abstract

Computer vision offers a promising method for soil moisture assessment especially for real-time field monitoring where sensor-based measurements are limited. This study evaluates the performance of a traditional Convolutional Neural Network (CNN) and ResNet-50 architecture for classifying soil moisture levels directly from in-situ surface images. The research involved 200 field-captured images and corresponding moisture data from a rainfed agricultural area. The models were trained with datasets grouped into two, three, and four moisture categories to test performance under varying complexity. The results showed poor model performance, characterized by high instability and severe overfitting across all experiments. Model accuracy for the traditional CNN significantly decreased from 0.513 to 0.256 as the number of classification categories increased and from 0.487 to 0.205 for ResNet-50. High RMSE values from 0.433 to 0.507 further confirmed substantial prediction errors. This finding highlights the limitation of RGB-based in-situ imagery for soil moisture classification, where environmental variability dominates the visual signal. It also suggests that soil moisture-related features are not sufficiently distinguishable under uncontrolled field conditions. The study concludes that the high variability of direct field images due to factors like inconsistent lighting, illumination, and the presence of non-soil objects is a primary obstacle to accurate classification. Future studies should implement advanced pre-processing techniques such as segmentation to reduce illumination noise.
Land Suitability Evaluation for Sugarcane (Saccharum officinarum L.) Cultivation in the Rejoso Watershed, Pasuruan Regency Bambang Hermiyanto; Ani Acfiyatul Fardila; Cahyoadi Bowo; Basuki; Subhan Arif Budiman
JOURNAL OF TROPICAL SOILS Vol. 31 No. 2: May 2026
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts..v31i2.57-69

Abstract

Land suitability evaluation is essential for optimizing crop productivity and promoting sustainable land use. In the Rejoso Watershed, Pasuruan Regency, sugarcane production remains suboptimal due to limited integration of biophysical land characteristics into cultivation management. This study aims to assess land characteristics, classify land suitability, identify limiting factors, and provide land management recommendations for sugarcane cultivation. The analysis considered key variables including temperature, rainfall, drainage, soil texture, effective depth, cation exchange capacity (CEC), base saturation, pH (H2O), organic carbon, total nitrogen, available phosphorus (P2O5), available potassium (K2O), slope, erosion risk, and flood risk. Land suitability was evaluated using a matching approach based on the Buku Pedoman Penilaian Kesesuaian Lahan Komoditas Strategis Year 2016. The results showed that actual land suitability comprises class S3 (Marginally Suitable), covering 22.262 ha (64.3%), and class N (Not Suitable), covering 12.342 ha (35.7%). Potential land suitability includes class S2 (Moderately Suitable), covering 8.562 ha (24.7%); class S3, covering 13.701 ha (39.6%); and class N, covering 12.342 ha (35.7%). The main limiting factors identified were temperature, drainage, soil texture, effective depth, nitrogen, phosphorus, base saturation, slope, erosion risk, and flood risk. Recommended management strategies include improving drainage using the Reynoso system, applying dolomitic lime, and SP36 fertilizer. Overall, the Rejoso Watershed demonstrates substantial potential for sugarcane development through improved land management. contributing to national sugar self-sufficiency.
Pemberdayaan Komunitas Wanita Tani dalam Mendukung Desa Songgon sebagai Sentra Durian di Kabupaten Banyuwangi Dwi Erwin Kusbianto; Hasbi Mubarak Suud; Subhan Arif Budiman; Ika Purnamasari; M Rondhi; Ebban Bagus Kuntadi; Rokhani Rokhani
Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 3 (2025): Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrokreatif.11.3.478-486

Abstract

Songgon is known as a favorite durian-producing village in Banyuwangi Regency. However, in the last 3 years, durian farmers have been suffering because they failed to experience a bumper harvest. The purpose of this service is to initiate the restoration of the image of Songgon Village as the center of Banyuwangi durian through the provision of quality local Songgon durian seeds. The partner of this community service is the wives of farmers in the village or also called Wanita Tani. Community service methods was using counseling and educational methods, along with training in seedling cultivation skills, followed by assistance in seedling care. A series of activities carried out include: 1) Increasing financial literacy to Women Farmers so that in the future they can face crises if crop failure recurs in the future; 2) Empowerment of farm women in terms of producing rootstocks (durian seedlings from seeds) for side income of Farm Women during the service activities; 3) Grafting training with rootstocks that have been produced and the scion comes from the local durian of each farmer's garden; The results of the activity are introduction people about financial literacy for the target group; Increased skills in the form of the ability to produce seeds independently; As well as the formation of a community with one of the inventories in the form of a planting hole maker that can be rented out to durian farmers in Songgon Village. However, this service has not been able to increase the income of farm women directly because there has been no sale of the seeds produced, but institutional initiation in marketing seeds has been carried out.
Inovasi “Bata Bolong” sebagai Smart Composter untuk Penguatan Resiliensi Petani di Desa Suci, Jember Ihsannudin Ihsannudin; Aryo Fajar Sunartomo; Subhan Arif Budiman; Senki Desta Galuh; Laily Mutmainnah; Lenny Luthfiyah; Rizky Yanuarti; Dessy Melia Eka Putri; Ade Angelia Maizul Putri; Ilham Hanif Firdausyah
MALLOMO: Journal of Community Service Vol 6 No 1 (2025): Desember-Mei
Publisher : Universitas Muhammadiyah Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/mallomo.v6i1.2441

Abstract

Perubahan iklim dan peningkatan volume limbah rumah tangga serta pertanian menimbulkan tantangan serius bagi ketahanan lingkungan dan ekonomi masyarakat pedesaan. Kegiatan pengabdian ini dilakukan untuk menjawab kebutuhan mendesak akan model pengelolaan limbah berbasis masyarakat melalui penerapan pendekatan ekonomi sirkular di Desa Suci, Kabupaten Jember. Tujuan kegiatan adalah meningkatkan kapasitas kelompok tani dalam mengelola limbah menjadi produk bernilai ekonomi melalui inovasi “Bata Bolong” sebagai komposter cerdas berbahan bata terawang. Metode pelaksanaan mencakup sosialisasi, pelatihan partisipatif, dan pendampingan teknis dalam produksi pupuk organik serta pemasaran berbasis digital. Analisis hasil dilakukan secara deskriptif melalui observasi, kuesioner, dan evaluasi capaian produksi. Hasil menunjukkan peningkatan keterampilan petani dalam menerapkan prinsip reduce, reuse, recycle serta kemampuan memproduksi pupuk organik dengan kualitas hara baik dan waktu dekomposisi lebih singkat. Program ini juga mendorong diversifikasi produk, peningkatan pendapatan, dan penguatan resiliensi masyarakat terhadap perubahan iklim. Inovasi Bata Bolong terbukti efektif sebagai model penerapan ekonomi sirkular yang berkelanjutan dan dapat direplikasi pada wilayah pedesaan lain