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All Journal Jurnal Mahasiswa Matematika JMM (Jurnal Masyarakat Mandiri) JTAM (Jurnal Teori dan Aplikasi Matematika) BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat
Mega Puspitorini
Universitas Palangka Raya
Humanities Education Mathematics Public Health Social Sciences Other

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WEAKLY NIL CLEAN RINGS Puspitorini, Mega
Jurnal Mahasiswa Matematika Vol 5, No 1 (2017)
Publisher : Jurnal Mahasiswa Matematika

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Abstract

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Pelatihan Penggunaan Aplikasi Geogebra for Personal Computer bagi Guru MGMP Matematika SMA Kabupaten Barito Kuala Soraya Djamilah; Mega Puspitorini
BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Vol 3 No 3 (2021)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/berdaya.v3i3.474

Abstract

This activity aims to increase the understanding and knowledge of mathematics teachers at using the geogebra application for personal computers to support mathematics learning, as a learning media in mathematics. The method that is used in this activity is short training of using the geogebra application for personal computers. Participants were given training by presentations and demonstrations at using the Geogebra application. The participants of this activity are teachers who are members of the Mathematics Subject Teachers' Consultation (MGMP) for High School Mathematics in Barito Kuala Regency can take part in the training well and enthusiastically
PEMBERDAYAAN SISWA SMA SEBAGAI AGEN PENGURANGAN RISIKO BENCANA HIDROMETEOROLOGI Dwinanda, Indah Gumilang; Thareq, Subhan Ilham; Cassiophea, Lolla; Adelia, Kadek Ayu Cintya; Puspitorini, Mega; Angeline, Adinda Martha
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 1 (2026): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i1.37058

Abstract

Abstrak: Child-centered Disaster Risk Reduction (CDRR) atau pengurangan risiko bencana yang berpusat pada anak merupakan salah satu pendekatan inovatif yang memberdayakan kaum muda sebagai kontributor aktif untuk membang ketahanan masyarakat. Pendekatan ini diharapkan secara signifikan meningkatkan pengetahuan siswa tentang risiko terjadinya bencana dan ketahanan masyarakat Siswa Sekolah Menengah Atas (SMA) yang masih tergolong di bawah umur, sehingga dikelompokkan sebagai anak-anak yang mana tidak hanya kelompok rentan tetapi juga sebagai agen perubahan yang kuat dalam upaya pengurangan risiko bencana. Kegiatan pengabdian ini bertujuan untuk meningkatkan kesadaran siswa akan pentingnya budaya sadar bencana hidrometeorologi, meningkatkan pengetahuan siswa terkait tugas dan tanggung jawab seorang agen pengurangan risiko bencana hidrometeorologi dan meningkatkan keterampilan para siswa dalam menghadapi bencana hidrometeorologi. Selain itu, kegiatan ini juga memberikan pelatihan kepada siswa tentang penerapan teknologi sistem peringatan dini berbasis Internet of Things (IoT) serta mendukung hilirasi hasil penelitian yang sesuai dengan target dan masalah yang terjadi di masyarakat. Berdasarkan hasil kegiatan yang telah dilaksanakan maka didapatkan persentase diatas 85% untuk pemahaman bencana hidrometeorologi, langkah pencegahan dan langkah penanganan.Abstract: Child-centred Disaster Risk Reduction (CDRR) is an innovative approach that empowers young people to become active contributors to building community resilience. This approach is expected to significantly increase students' knowledge about disaster risk and community resilience. High school students are still classified as minors, so they are grouped as children who are not only a vulnerable group but also powerful agents of change in disaster risk reduction efforts. This community service activity aims to raise students' awareness of the importance of a culture of awareness of hydrometeorological disasters, increase students' knowledge of the duties and responsibilities of a hydrometeorological disaster risk reduction agent, and improve students' skills in dealing with hydrometeorological disasters. In addition, this activity also provided training to students on the application of early warning systems based on the Internet of Things (IoT) and supported the dissemination of research results in line with the targets and issues occurring in the community. Based on the results of the activities that have been carried out, a percentage of above 85% was obtained for understanding hydrometeorological disasters, preventive measures, and response measures.
Random Forest-Based Modeling of Life Expectancy in Central Kalimantan Puspitorini, Mega; Ayu, Regina Wahyudyah Sonata; Monita, Dita
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i2.35399

Abstract

This study investigates key socioeconomic determinants of life expectancy (LE) and develops a regional-level predictive model using the Random Forest regression approach for regencies and municipalities in Central Kalimantan Province during 2016–2023. Although life expectancy is a core indicator of human development, empirical studies employing machine learning methods at the sub-provincial level in Indonesia remain limited. Using secondary data from Statistics Indonesia (BPS), this study examines the relationship between LE and selected indicators related to education, sanitation, health infrastructure, economic conditions, and demography. The Random Forest model exhibits robust predictive performance, achieving MAE values of approximately 0.29–0.30 and coefficients of determination (R²) ranging from 0.71 to 0.74 across different evaluation schemes. Feature importance analysis identifies mean years of schooling as the most influential determinant of life expectancy, followed by access to proper sanitation and the availability of health facilities. These results highlight the prominent role of human capital and basic infrastructure in shaping regional health outcomes. By integrating machine learning techniques with regional socioeconomic data, this study extends existing life expectancy research in Indonesia through a data-driven modeling framework. Overall, this study supports evidence-based planning by highlighting priority intervention areas to improve life expectancy and human development in Central Kalimantan.
Co-Authors Angeline, Adinda Martha Ayu, Regina Wahyudyah Sonata Cassiophea, Lolla Dwinanda, Indah Gumilang Kadek Ayu Cintya Adelia Monita, Dita Soraya Djamilah, Soraya Subhan Ilham Thareq