This study presents a near-real-time water stress monitoring framework for tropical heterogeneous landscapes by integrating optical and radar remote sensing data within the Google Earth Engine platform. Five complementary indices, vertical transmit/vertical receive–vertical transmit/horizontal receive (VV/VH) ratio, Dual Polarimetric Radar Vegetation Index (DpRVI), Normalized Difference Water Index (NDWI), Normalized Difference Moisture Index (NDMI), and Ratio Drought Index (RDI), were analyzed across three contrasting agricultural systems: paddy, sugarcane, and rubber, revealing distinct phenological and water stress dynamics. Radar-derived structural indices captured patterns of biomass accumulation and canopy development, with VV/VH values ranging from 4.2 to 12.3 in paddy and 5.4 to 6.0 in rubber. In parallel, optical moisture indices detected crop physiological stress; for instance, NDMI dropped from 0.26 to 0.06 during drought in sugarcane. Cross-index analyses demonstrated strong complementarity; synchronized VV/VH and RDI peaks characterized paddy inundation, whereas lagged NDMI–VV/VH responses captured stress-induced defoliation in rubber trees. Temporal profiling established crop-specific diagnostic signatures, with DpRVI peaking at 0.75 in paddy, gradual RDI decline in sugarcane, and NDMI values of 0.2–0.3 in rubber. The framework provides spatially explicit, temporally continuous, and cost-effective monitoring to support irrigation, drought early warning, and agricultural planning. Multi-year validation and field-based calibration are recommended for operational implementation.

Kelurahan Bulusan didominasi oleh sektor peternakan. Sebagian besar masyarakat bekerja sebagai kuli bangunan dan setiap warga memiliki peliharaan sapi 2-4 ekor. Selama ini limbah kotoran sapi dari hasil usaha peternakan tidak dimanfaatkan dengan baik dan dibuang begitu saja sehingga mencemari lingkungan. Hal tersebut menjadikan tim PKM ingin melaksanakan pengabdian dengan memanfaatkan limbah kotoran sapi. Tujuan dari PKM ini adalah pemanfaatan limbah kotoran sapi menjadi biogas sebagai sumber energi alternatif. Kegiatan ini dibagi menjadi tiga tahap, yaitu tahap sosialisasi, pembuatan instalasi biogas, dan pendampingan. Kegiatan PKM dapat memberikan dampak yang baik untuk masyarakat Kelurahan Bulusan sehingga pencemaran lingkungan dapat teratasi.

In contemporary agriculture, the demand for cutting-edge machine-learning techniques to elevate crop assessment and management is paramount. This study introduces an innovative approach employing a Convolutional Neural Network (CNN) with Inception_v3 as its base model to estimate chlorophyll levels in paddy leaves. The primary aim is to craft a robust, precise model capable of non-destructively predicting chlorophyll content, promising substantial improvements in the efficiency of evaluating paddy crop health and nutritional status. The dataset comprises 566 images of paddy leaves, spanning 122 unique chlorophyll content levels. A meticulous data partitioning strategy allocates 244 images for model training, with 122 and 180 images for validation and testing, respectively. Model performance metrics include a test loss of 1.19 and a test accuracy of 0.81. Leveraging the Inception_v3 architecture empowers the CNN model to extract intricate, distinguishing features from paddy leaf images. This capability enables the model to discern subtle variations in chlorophyll content across different classes, underpinning its promising predictive prowess. Future research directions may explore potential model enhancements and dataset expansion, marking significant progress toward revolutionizing crop health assessment in modern agriculture.

Landfill is one of the important needs that must be provided and considered by a District. Nowadays, in Banyuwangi Regency already had one site of the landfill, but1.5 Ha site of this landfill could only accommodate wastes from 13 areas in Banyuwangi Regency. Bulusan landfill has currently exceeded the limit so it needed a new landfill. It was truly difficult to choose the new location for landfill if it had togo through a measurements field and check in every indicator session directly, so by using Geographic Information System (GIS) application, the selection of the location of landfill will be helped by using this system in terms of time, cost and energy with an effective and efficient process, and an optimal results. This research aimed to determine the candidate of location replacement of the Bulusan landfill that appropriate to Indonesia's National Standards (SNI) No. 19-3241-1994 with Geographic Information System (GIS) help. The process of determining landfill candidate used a scoring method by using Geographic Information System (GIS) to search certain areas that decent to be the location of the landfill. The selection of landfill area consisted of 3 stages namely regional stage, allowance stage, and determination stage. In the regional stage, there were 10 candidates as the recommended location with the highest overlay score. Then, it continued to the allowance stage. In this stage, the highest score of 10 recommended locations would be chosen. The final stage was the determination stage, which was one of the new landfill location decided. As the result, the appropriate recommendation for the replacement candidate of Bulusan landfill was Location Candidate number VII which was located in Ketapang Village, Kalipuro sub-regency with area 0.4641 km ² or 46.41 Ha.

Limbah kotoran peternakan masyarakat di Desa Gitik Banyuwangi selama ini tidak dikelola dengan baik, sehingga menyebabkan pencemaran lingkungan dan ketidaknyamanan bagi warga akibat polusi udara. Upaya untuk memberikan solusi terhadap masalah lingkungan dan energi dilakukan kegiatan pengabdian kepada masyarakat dengan fokus pada penerapan Teknologi Biogas Portabel. Metode pelaksanaan kegiatan melibatkan pembuatan instalasi biogas portabel, pemanfaatan energi yang dihasilkan dari biogas, serta penyuluhan dan pendampingan kepada masyarakat. Hasil dari kegiatan menunjukkan bahwa penerapan Teknologi Biogas Portabel efektif dalam mengatasi permasalahan limbah peternakan dan memberikan alternatif energi berkelanjutan. Masyarakat memberikan tanggapan positif terhadap implementasi biogas portabel, yang tidak hanya berdampak positif pada lingkungan dengan mengurangi limbah dan polusi udara, tetapi juga memberikan manfaat ekonomi melalui penghematan energi.