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All Journal Jurnal Bisnis dan Manajemen JURNAL PENDIDIKAN EKONOMI: Jurnal Ilmiah Ilmu Pendidikan, Ilmu Ekonomi dan Ilmu Sosial JOIV : International Journal on Informatics Visualization Jurnal Manajemen Indonesia JMM (Jurnal Masyarakat Mandiri) COMPTON: Jurnal Ilmiah Pendidikan Fisika Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Jurnal Ilmiah Edunomika (JIE) Journal of Applied Engineering and Technological Science (JAETS) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Journal of Applied Data Sciences International Journal of Economy, Education and Entrepreneurship (IJE3) International Journal of Education, Social Studies, And Management (IJESSM) TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Educenter: Jurnal Ilmiah Pendidikan eScience Humanity Journal Jurnal Didactical Mathematics Annals of Human Resource Management Research Polinomial : Jurnal Pendidikan Matematika Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Masyarakat Bangsa Journal International Dakwah and Communication Jurnal Teologi Pambelum Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Journal of Management and Innovation Entrepreneurship (JMIE) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Kesehatan Bakti Tunas Husada SANISKALA: Jurnal Pengabdian Masyarakat Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital EDUCENTER JURNAL PENDIDIKAN Jurnal Ekonomi, Bisnis dan Manajemen Ijarme Papanda Journal of Community Service
Sudianto, Sudianto
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Spatial Analysis of Ensemble Learning Models for Agricultural Drought Early Warning Sudianto, Sudianto; Ni'amah, Khoirun; Dewi, Atika Ratna; Ramadhan, Afan; Aprilia, Jeti; Tiyaswening, Arsita Wiwit; Anataya, Syalaisha Nisrina
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.
Efektivitas Program Cabri 3D dalam Meningkatkan Hasil Belajar Matematika Siswa Nurfazriyah, Sri Mulyani; Sudianto, Sudianto
Polinomial : Jurnal Pendidikan Matematika Vol. 4 No. 4 (2025)
Publisher : Papanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jp.v4i4.3005

Abstract

Learning mathematics in the field of spatial geometry still presents challenges in the form of poor student outcomes. This is due to difficulties in understanding abstract concepts. Using technology-based learning media is seen as one solution to this problem. This study aims to analyse this problem and find ways to overcome it. This study aims to analyse the effectiveness of using Cabri 3D to improve mathematics learning outcomes. A Systematic Literature Review was conducted to examine this. This involved examining Sinta-accredited articles published between 2019 and 2025. Data were obtained through literature searches and analysed using Qualitative descriptive analysis techniques. The results of the study indicate that using Cabri 3D consistently improves learning outcomes, conceptual understanding and mathematical spatial abilities, especially in subjects that require high levels of visualisation. This study concludes that Cabri 3D is an effective and relevant learning medium. to improve the quality of mathematics education in schools.
An Adaptive Random Forest for Data Stream Sentiment Classification under Concept Drift Arkana, Brian Farrel; Sudianto, Sudianto; Isnaeni, Nenen
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1153

Abstract

Data labeling plays a crucial role in determining the performance of machine learning models, especially in data stream environments where concept drift frequently occurs. The primary objective of this study is to analyze the effectiveness of adaptive learning models in managing dynamic data distribution changes and to evaluate the influence of different labeling strategies on sentiment classification performance using user reviews from the OVO mobile application. The research contributes to understanding how labeling approaches interact with adaptive modeling under real-time data stream conditions. Two labeling methods were employed: score-based labeling derived from user ratings and content-based labeling generated automatically using the IndoRoBERTa language model. These labeled data streams were evaluated using two classifiers: a conventional Random Forest model and an Adaptive Random Forest model designed to handle evolving data distributions. The evaluation was conducted through streaming experiments that continuously fed new review data to simulate real-world drift scenarios. The results reveal that in the score-based labeling scenario, the conventional Random Forest model’s accuracy gradually declined, reaching a final accuracy of 31%, while the Adaptive Random Forest achieved 80%, reflecting a 49% performance gap. In the content-based labeling scenario, both models improved over time, with final accuracies of 57% for Random Forest and 76% for the adaptive model, resulting in a 19% difference. These findings indicate that Adaptive Random Forest is more robust in adapting to distributional and temporal changes in data streams regardless of the labeling strategy used. This study implies that combining adaptive learning with semantically rich labeling approaches can substantially enhance model reliability in real-time sentiment analysis tasks. Future research may further explore hybrid adaptive mechanisms to improve the resilience of data stream classification models across various domains.
Co-Authors Abdul Hamid ABDUL HAMID Adie Pamungkas Adriansyah, Hikari Afandi, Widi Agus Efendi Agus Rofi’i Agustianto, Satya Helfi Ahmad Ismail Ajeng Dyah Kurniawati Akhmad, Fajar Kamaludin Alfani, Mufti Hasan Anang Martoyo Anataya, Syalaisha Nisrina Andi Amang Andi Hidayatul Fadlilah Andika Prasetya Nugraha Angela, Maria Apriana Ansori, Sayid Ansori, Yoyo Zakaria Aprilia, Jeti Arkana, Brian Farrel Atika Ratna Dewi Audina, Silfi Azhar Muntaha Azizahfa, Ai Nurlaeli Maulatul Baharudin, Muhammad Yusuf Saaih Budhi, Widodo Dasril Aldo Dede Salim Nahdi Dedy Agung Prabowo Dewi Permata Sari Dewi Peti Virgianti, Dewi Peti Dewi, Susantriana Djunaedi Djunaedi Dyah Kurniawati, Ajeng Erlangga, Muhammad Fadlililah, Andi Hidayatul Falerina Rahmatunnisa Chaniago Fauzi Ahmad Muda Fauziah, Inayah Ferdina, Dina Firdaus Firdaus Hamzah, Zulfadli Hana Diana Maria Hendayana, Alya Fatihah Hendri Herman Heni Herawati Herman, Henry Humaira, Novida Iik Nurhikmayati, Iik Insiyah, Cici' Irwan Irwan Ismayanti , Syifa Jamahsyari, Yolan Faiz Jatisunda, Moh Gilar Jeffry Nugraha Julia, Rida Kafabi, Muhammad Hilmi Kartiwa, Cece Enjang Kusumah, Firdan Gusmara Kusumaningrum, Andini Mulia Laelasari Laelasari, Laelasari Latisa, Alsya LILIK BUDIPRASETYO Listyani , Elfa Maesaroh , Nita Mahmudin, Dede Maleh, D.Th, Kinurung Maleh, Kinurung Marhami, Azwan Cahya Maria, Hana Diana Marsally, Silvia Van Martiyaningsih, Dwi Puspa Martoyo, Anang Muhamad Azrino Gustalika Muhammad Arif Mulyadi Mulyadi Muna, Bunga Laelatul Nata, Septiawan Dwi Nenen Isnaeni Ni'amah, Khoirun Ni’amah, Khoirun Nugraha, Jeffy Nuraini, Putri Nurfaeda , Sofia Muawalina Nurfazriyah, Sri Mulyani Pamungkas, Adie Pangestu, Farhan Aryo Pebrianti, Yesi Utami Purwanto, Andrias Rachman, Ari Rakhma, Nazwa Aulia Ramadhan, Afan Ramadhan, Dadan Ramdiani , Rani Ramdiani, Rani Ripaldi Rochmanah Suhartati Rohaeti, Titi Rohimatunisa, Dela Sabri Sabri Safitri, Lisdiana Pavila Santoso, Erik Saputra , Wahyu Andi Saputra, Wahyudi Andika Saputro, Satria Nur Soemedhy, Chandra Ayunda Apta Sri Mulyani Nurfazriyah Sudi, Mohamad Suhada, Karya Suharto, Andi Muhammad Sulaeman, Gilang Sulastri, Desi sumardin, sumardin Supriyadi Supriyadi Suriadi Suriadi Sutopo Sutopo Suwandi, Iqbal Abdillah Suyono Suyono Tiyaswening, Arsita Wiwit Trivetisia, Nora Usman, Muhammad Lulu Latif Utami, Tri Wulandari Vici Suciawati Wibowo, Rohim Isnain Septian Wicaksono, Apri Pandu Wijaya, Rommy Winanti, Nawang Anggita Wulandari, Dewi Eka Yane Liswanti, Yane Yaqin, Silpi Syamrotul Yasin, Feri Yeni dwi Kurino Zulkifli Zulkifli