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All Journal PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Desimal: Jurnal Matematika Journal of Economic, Bussines and Accounting (COSTING) JTAM (Jurnal Teori dan Aplikasi Matematika) Jambura Journal of Mathematics Mathvision : Jurnal Matematika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Tekno Kompak Management Studies and Entrepreneurship Journal (MSEJ) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Visi Pengabdian Kepada Masyarakat International Journal of Economy, Education and Entrepreneurship (IJE3) Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) International Journal of Engagement and Empowerment (IJE2) FARABI: Jurnal Matematika dan Pendidikan Matematika International Journal of Quantitative Research and Modeling International Journal of Science and Society (IJSOC) Premium: Insurance Business Journal International Journal of Multidisciplinary Research and Literature (IJOMRAL) Journal of Computer Science and Informatics Engineering National Conference on Applied Business, Education & Technology (NCABET) PIKAT Media Abdimas Jurnal Pengabdian Masyarakat Ilmu Komputer
Fanny Novika
Program Studi Aktuaria, Sekolah Tinggi Manajemen Asuransi Trisakti, Jl. Kampus C Trisakti, Gedung A, Jl. Jend. A. Yani Kav.85, Jakarta Timur 13210
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Spatial Pattern Analysis and Spatial Regression of Geological Disaster Risk in Indonesia Novika, Fanny; Kusdani, Dedi
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 8 No 2 (2025): FARABI: Jurnal Matematika dan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v8i2.1114

Abstract

Indonesia is a country with a high level of vulnerability to geological disasters such as earthquakes, landslides, and volcanic eruptions due to its position in the meeting zone of three active tectonic plates. This study aims to map the spatial pattern of geological disasters Local Indicators of Spatial Association (LISA) and analyze the effect of spatial variables on the number of victims using a spatial regression analysis approach. Data were obtained from BNPB and analyzed using the OLS method and three spatial regression models, namely the Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and General Spatial Model (GSM). The LISA results show that several provinces are included in the high-high and spatial outlier categories that are prone to disasters. Regression analysis shows that for earthquakes, the SEM model is the best model with a pseudo-R² of 0.888 and the lowest AIC. For landslides, the GSM model gives the best results (pseudo-R² = 0.7860 and AIC = 78.389), while for volcanic eruptions, the spatial model does not show significant spatial effects, so the OLS model is sufficient to represent the relationship between variables. The variable number of events proved to have the most significant influence on the number of victims across all types of disasters. This finding emphasizes the importance of a spatial approach in risk mapping and geological disaster mitigation planning in Indonesia.
Game & Code Media Inovatif untuk Pengenalan Konsep Asuransi pada Anak Sekolah Dasar Istiqomah, Nalar; Novika, Fanny
Jurnal Pengabdian Kepada Masyarakat ITK (PIKAT) Vol. 6 No. 2 (2025): PIKAT : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Institut Teknologi Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/pikat.v6i2.8481822

Abstract

Tingkat literasi keuangan pada anak usia sekolah dasar di Indonesia masih rendah, termasuk dalam pemahaman mengenai konsep risiko dan pentingnya perlindungan keuangan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dasar siswa mengenai konsep asuransi melalui pendekatan pembelajaran berbasis teknologi, yaitu game edukatif dan pengenalan coding menggunakan Scratch. Kegiatan dilaksanakan di SD Salsabila Al Kautsar, Jakarta Utara, dan diikuti oleh 24 siswa kelas 5. Metode pelaksanaan meliputi penyampaian materi literasi keuangan sederhana, sesi bermain game edukatif bertema asuransi, diskusi reflektif, serta modifikasi game melalui Scratch. Evaluasi pemahaman dilakukan melalui penilaian sederhana sebelum dan setelah kegiatan. Hasil evaluasi menunjukkan adanya peningkatan rata-rata pemahaman siswa dari skor 6,5 menjadi 8,7, hal ini menunjukkan respons belajar yang positif. Siswa menunjukkan antusiasme tinggi dan mampu mengikuti sesi coding dengan baik. Guru menilai bahwa pendekatan berbasis game dan coding ini membantu membuat konsep finansial yang abstrak menjadi lebih konkret, menyenangkan, dan mudah diterapkan dalam pembelajaran. Selain itu, pihak sekolah menyatakan minat untuk mengintegrasikan aktivitas ini ke dalam pembelajaran TIK secara berkelanjutan. Dengan demikian, program ini terbukti menjadi media pembelajaran yang efektif, interaktif, dan menyenangkan untuk memperkenalkan konsep asuransi sejak dini. Kegiatan ini berpotensi direplikasi di sekolah lain sebagai model literasi keuangan berbasis teknologi.
ANALISIS KEBUTUHAN PENGUATAN KOMPETENSI SDM DI PERUSAHAAN ASURANSI JIWA BERDASARKAN SEOJK NO. 12/SEOJK.05/2025 Indra P, I Made; Novika, Fanny; Septivani, Nike; Fandayani, Enno Karina
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 6 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/2tzpkz06

Abstract

Penelitian ini bertujuan untuk memetakan kebutuhan penguatan kompetensi sumber daya manusia (SDM) di industri asuransi jiwa dalam konteks implementasi SEOJK No. 12/SEOJK.05/2025 tentang Sertifikasi Kompetensi Kerja. Dengan menggunakan pendekatan kualitatif deskriptif, data diperoleh melalui survei kepada regulator, asosiasi industri, perusahaan asuransi jiwa, serta karyawan dari berbagai level, dan dilengkapi studi dokumentasi atas regulasi dan standar kompetensi. Hasil penelitian menunjukkan bahwa industri telah memiliki 902 program pelatihan dan 316 program sertifikasi dengan total 1.113 modul, namun distribusinya masih dominan pada level dasar dan menengah. Analisis menunjukkan bahwa topik soft skills, life & investment-linked, serta digital skills menjadi fokus utama pelatihan, sementara sertifikasi lebih banyak berorientasi pada produk investasi dan manajemen risiko. Metode pembelajaran masih didominasi training tatap muka meskipun platform daring terus meningkat. Temuan ini mengindikasikan perlunya penguatan kompetensi tingkat lanjut, perluasan topik digital dan keberlanjutan, serta standardisasi model pembelajaran. Penelitian ini menghasilkan pemetaan ekosistem pelatihan, sertifikasi yang dapat menjadi dasar perumusan model kompetensi SDM berbasis KSA, pengembangan kurikulum pelatihan, serta rekomendasi kebijakan bagi regulator dan industri dalam meningkatkan kualitas SDM asuransi jiwa secara berkelanjutan.
Procrustes Analysis of Indonesian Mortality Table Iv and Indonesia's Death Rate During Covid-19 Pandemic Fanny Novika; Revi Meliyani
International Journal of Quantitative Research and Modeling Vol. 2 No. 2 (2021): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i2.148

Abstract

The level of accuracy to calculate the premium is one of the main points for an actuary to determine the criteria of product which is offered by an insurance company to customers. The main reference in this accuracy is the mortality table. The last mortality table made by AAJI (Asosiasi Asuransi Jiwa Indonesia) was Mortality Table Indonesia (MTI) IV which was published in 2019. However, unexpectedly, the Covid-19 pandemic occurred in early 2020 which caused the death rate to be higher than normal situation. This study aims to compare MTI IV which was made with assumptions before the Covid-19 pandemic according to the death rate in Indonesia during the Covid-19 pandemic. This study uses secondary data, by finding the probability of death in Indonesia by calculating the death rate in Indonesia based on population data according to age group classifications obtained from BPS (Badan Pusat Statistik) Indonesia. Furthermore, both data were compared using Procrustes analysis to calculated the level of conformity. The results showed that 75.97% of the data matched MTI IV with the death rate during the pandemic. If the insurance company wants more accurate results, they can be adjusted to the Indonesian Mortality Table using data during the pandemic. If it is quite satisfied with the accuracy of 75.97%, the company can continue to use MTI IV.
Spatial Pattern Analysis and Spatial Regression of Geological Disaster Risk in Indonesia Fanny Novika; Dedi Kusdani
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 8 No 2 (2025): FARABI: Jurnal Matematika dan Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v8i2.1114

Abstract

Indonesia is a country with a high level of vulnerability to geological disasters such as earthquakes, landslides, and volcanic eruptions due to its position in the meeting zone of three active tectonic plates. This study aims to map the spatial pattern of geological disasters Local Indicators of Spatial Association (LISA) and analyze the effect of spatial variables on the number of victims using a spatial regression analysis approach. Data were obtained from BNPB and analyzed using the OLS method and three spatial regression models, namely the Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and General Spatial Model (GSM). The LISA results show that several provinces are included in the high-high and spatial outlier categories that are prone to disasters. Regression analysis shows that for earthquakes, the SEM model is the best model with a pseudo-R² of 0.888 and the lowest AIC. For landslides, the GSM model gives the best results (pseudo-R² = 0.7860 and AIC = 78.389), while for volcanic eruptions, the spatial model does not show significant spatial effects, so the OLS model is sufficient to represent the relationship between variables. The variable number of events proved to have the most significant influence on the number of victims across all types of disasters. This finding emphasizes the importance of a spatial approach in risk mapping and geological disaster mitigation planning in Indonesia.
Co-Authors Amalina, Anvika Nur Antonius Anton Lie Chalista, Bunga Dedi Kusdani Dedi Kusdani Elvira Yuliana Fandayani, Enno Karina Fida Fathiyah Addini Holil Padli I Made Indra Insri Nuryati Irwandi, Muhammad Istiqomah, Nalar Japari Antony Karina, Enno Kurniawan, Yohanes Jhony Kusdani, Dedi Mahmudi Mahmudi Marsanto, Budi Maulidi, Ikhsan Muhamad Syazali Mulawarman Awaloedin Namiera, Adinda Nike Septivani Rahmadhianty , Nadya Revi Meliyani Robidi Robidi Rosmayanti, Melinia Saptyarani, Amelia Suryamika, Putu Egawastu Vina Apriliani Wahyuari Yusuf Hidayat Kalla