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All Journal Journal of Applied Data Sciences IJCOSIN : Indonesian Journal of Community Service and Innovation
Jeti Aprilia
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Pelatihan Penerapan Lubang Resapan Biopori Sebagai Penanggulangan Penumpukan Sampah Organik A.A Istri Candra Manika Dewi; Rizal Wahyu Pratama; Khulika Malkan; Agung Malik Ibrahim; Jeti Aprilia; Syalaisha Nisrina Anataya
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 4 No 1 (2024): Januari 2024
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v4i1.1377

Abstract

The accumulation of organic waste and the lack of soil infiltration has a negative impact on society, causing the spread of methane gas (CH4) in the air, which can worsen global climate change due to greenhouse effect conditions. Public awareness, especially among students, is not yet high enough to properly process organic waste. This community service aims to increase students' knowledge on how to process organic waste using a biopore system. The target of the activity is students of SMP Negeri 5 Purbalingga. The training participants were 27 students. The methods used were counseling and practice. The success of the activity is measured using the survey method. Counseling and practice sessions about biopores involve using two holes with a diameter of 10 cm and a depth of 100 cm. Both biopores were applied in the environment of SMP Negeri 5 Purbalingga. Based on a survey of participants using a questionnaire tool, the results showed that the level of knowledge of organic waste processing using the biopore system before counseling and training was 6.67% to 33.33%. After counseling and practice, the participants' knowledge increased to 73.33% - 93.33%. In conclusion, this counseling activity can increase the knowledge of students at SMP Negeri 5 Purbalingga on how to process organic waste with a biopore system. Therefore, based on this knowledge, it is hoped that the accumulation of organic waste can be reduced by the biopore system run by students and can reduce stagnant water due to rain.
Spatial Analysis of Ensemble Learning Models for Agricultural Drought Early Warning Sudianto Sudianto; Khoirun Ni'amah; Atika Ratna Dewi; Afan Ramadhan; Jeti Aprilia; Arsita Wiwit Tiyaswening; Syalaisha Nisrina Anataya
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1108

Abstract

Drought poses a serious threat to rice production and local food security, triggered by climate anomalies such as El Niño. This study aims to evaluate and compare the performance of Ensemble Learning Models in classifying drought levels and analyze its correlation with periods of climate anomalies. This study uses Landsat 9 image data in the simulation period from June 2024 to July 2025, which is processed with HSV-based pan-sharpening and spectral index extraction (NDVI, NDWI, NDDI, EVI, LST). The modeling process applied undersampling to address class imbalance and hyperparameter tuning optimization using Optuna. The models compared included Random Forest, LightGBM, AdaBoost, XGBoost, and Gradient Boosting. The results showed that Gradient Boosting excelled with a train accuracy of 96,85% in original dataset with split dataset 70:30, whereas rise to 98.98% after tuning. Spatial validation was conducted in other rice field plots, however its steadfastly on research area with same treatment. The classification map shows the dominance of the moderate category, which temporally coincides with the period of rainfall decline associated with El Niño, although a direct causal relationship requires further investigation. These findings confirm that remote sensing combined with machine learning is effective for drought monitoring, with the caveat that the application of undersampling and limited spatial validation that is, confined solely to the research area; needs to be considered in the interpretation of results.
Co-Authors A.A Istri Candra Manika Dewi Afan Ramadhan Agung Malik Ibrahim Arsita Wiwit Tiyaswening Atika Ratna Dewi Khoirun Ni'amah Khulika Malkan Rizal Wahyu Pratama Sudianto Syalaisha Nisrina Anataya