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All Journal The Journal of Experimental Life Sciences (JELS) Epsilon: Jurnal Matematika Murni dan Terapan Journal of the Indonesian Mathematical Society Jurnal Ilmiah Ekonomi Islam Jurnal Penelitian Pendidikan IPA (JPPIPA) CARTESIUS : Jurnal Pendidikan Matematika Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Al-Khidmah Jurnal Pengabdian Masyarakat Cartesius Balance : Media Informasi Akuntansi dan Keuangan Jurnal Pengabdian Pada Masyarakat METHABDI
Wilda, Robiatul Witari
Universitas Palangka Raya
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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Analisis Proyeksi Harapan Lama Sekolah dalam Perspektif Maslahah: Studi Komputasi Grey GM(1,1) di Kota Palangka Raya Desmita, Zulya; Afli, Febrianto; Wilda, Robiatul Witari; Yumia, Mega
Jurnal Ilmiah Ekonomi Islam Vol. 12 No. 2 (2026): Jurnal Ilmiah Ekonomi Islam
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v12i2.19644

Abstract

This research aims to analyze and project the direction of human capital accumulation in Palangka Raya City through the School Expectancy Length (SEL) indicator. Within the framework of Islamic economics, human capital accumulation is viewed as a fundamental instrument for achieving maslahah through the reinforcement of intellectual capacity (Hifdz al-Aql). This study employs a descriptive quantitative approach using secondary time-series data from the Central Bureau of Statistics for the period 2010–2025. Data analysis was conducted using the mathematical modeling of the Grey Forecasting Model GM(1,1), which is superior in predicting trends with limited data without relying on strict statistical distribution assumptions. The results indicate that this model has a very high level of accuracy with a Mean Absolute Percentage Error (MAPE) of 0.865%. Based on the projection results, the School Expectancy Length in Palangka Raya City is predicted to continue rising, reaching 15.47 years by 2030. Substantively, these findings confirm a consistent expansion of human capital, where the future school-age population is projected to be capable of attaining a Bachelor's degree level of education. The implications of this study emphasize the importance of policy synchronization between enhancing human resource capacity and providing strategic employment opportunities to ensure inclusive and sustainable economic welfare in Palangka Raya City.
Pemetaan Prediksi Wilayah Rawan Bencana Hidrometeorologi di Provinsi Kalimantan Tengah Indah Gumilang Dwinanda; Kadek Ayu Cintya Adelia; Robiatul Witari Wilda; Febrianto Afli; Tesdiq Prigel Kaloka; Desy Lutfiani Pratiwie
Jurnal Penelitian Pendidikan IPA Vol 10 No 2 (2024): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i2.6238

Abstract

Disaster is an event or a series of events that threatens and disrupts people's lives and livelihoods, caused by natural and/or non-natural factors and human factors, resulting in human casualties, environmental damage, property losses, and psychological impacts. Hydrometeorological disasters are events related to water, atmosphere, and oceans. It is recorded that hydrometeorological disasters occurring in Indonesia reach 86%, including floods, tornadoes, landslides, forest and land fires, and droughts. Specifically, in Central Kalimantan Province, forest and land fires and floods are frequent disasters. Both fall into the category of hydrometeorological disasters, closely related to the climate in Central Kalimantan. In this study, the prediction of rainfall, temperature, and humidity values in Central Kalimantan Province was calculated using the Auto-Regressive Integrated Moving Average method at 5 stations in the province. Subsequently, the prediction analysis of flood events was carried out using the machine learning random forest method based on the rainfall data, temperature, humidity, and event data. According to the calculation results, flood disasters are not predicted to affect almost all areas of Central Kalimantan Province. However, by the end of 2023, it is anticipated that most areas in the province will still be categorized as experiencing a normal level of drought. Notably, there are two areas that must increase awareness of this drought disaster, namely Pulang Pisau and Sampit, especially in October 2023.
Co-Authors Adi, Mika Afli, Febrianto Ahmad Muammar Kadafi Alfanaar, Rokiy Arsana, Mu afa Ayu, Regina Wahyudyah Sonata Basani, Yuniarta Citrariana, Shesanthi Desmita, Zulya Desy Lutfiani Pratiwie Dita Monita Fatiqin, Awalul Febrianto Afli Hermanto Hermanto Hermanto Hermanto Imron, Moch. Aruman Indah Gumilang Dwinanda Jipasca, Elon Kadek Ayu Cintya Adelia Mahar, Alicia Christina Mega Yumia Monita, Dita Mu’afa Purwa Arsana Ngazizah, Febri Nur Nurjanah, Ana Puspitorini, Mega Rahman, Sudarman Regina Wahyudyah Sonata Ayu Regina Wahyudyah Sonata Ayu Rizka, Sailah Ar Sukmarini, Mita Akbar Tesdiq Prigel Kaloka Thathit Suprayogi Trisilowati Trisilowati, Trisilowati Yahya Febrianto Yumia, Mega