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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 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.
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.
Edukasi Perencanaan Keuangan Sejak Dini bagi Anak Sekolah Dasar melalui Experiential Learning Nalar Istiqomah; Fanny Novika
Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v5i1.360

Abstract

Literasi keuangan sejak dini merupakan aspek penting dalam membentuk perilaku pengelolaan uang yang bijak pada anak. Namun, tingkat pemahaman keuangan pada siswa sekolah dasar masih relatif rendah dan berpotensi mendorong perilaku konsumtif. Kegiatan ini bertujuan untuk meningkatkan pemahaman dan keterampilan pengelolaan keuangan sederhana melalui pendekatan experiential learning. Metode yang digunakan berupa kegiatan edukatif dengan tahapan Earn–Choose–Reflect yang melibatkan permainan, simulasi mini market, dan refleksi. Evaluasi dilakukan melalui pre-test dan post-test, observasi perilaku, serta refleksi peserta. Hasil menunjukkan adanya peningkatan pemahaman siswa terkait kebutuhan dan keinginan dari 75% menjadi 92%, kemampuan menabung dari 8% menjadi 65%, serta pengenalan konsep risiko dari 0% menjadi 58%. Selain itu, siswa juga menunjukkan perubahan sikap menjadi lebih menghargai uang dan lebih bijak dalam menentukan prioritas penggunaan uang. Dengan demikian, pendekatan experiential learning terbukti efektif dalam meningkatkan literasi keuangan siswa sekolah dasar secara aplikatif dan menyenangkan. Program ini dapat menjadi alternatif inovatif dalam edukasi keuangan sejak dini.
The Impact of the Insurance and Actuarial Olympics on High School and Vocational High School Students’ Interest in Pursuing a College Degree in Insurance Antony Japari; Antonius Anton Lie; Fanny Novika; Enno Karina Fandayani
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 7 No. 6 (2026): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/sdnsd506

Abstract

Students' interest in pursuing higher education in insurance and actuarial science in Indonesia remains relatively low despite the increasing demand for qualified professionals in these fields. This study aims to examine the effect of the Insurance and Actuarial Olympiad on students' study interest and to investigate the mediating roles of Learning Motivation and Career Perception. A quantitative survey approach was employed involving 151 participants of the Insurance and Actuarial Olympiad from various secondary schools in Indonesia. Data were collected through a questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results indicate that Olympiad Implementation has a positive and significant effect on Learning Motivation (β=0.645; p<0.001) and Career Perception (β=0.502; p<0.001). Furthermore, Learning Motivation (β=0.366; p=0.006) and Career Perception (β=0.438; p<0.001) positively and significantly influence Study Interest. However, the direct effect of Olympiad Implementation on Study Interest is not significant (β=-0.090; p=0.340). The indirect effect analysis reveals that Learning Motivation and Career Perception significantly mediate the relationship between Olympiad Implementation and Study Interest. The model explains 43.7% of the variance in Study Interest. These findings suggest that the Insurance and Actuarial Olympiad effectively enhance students' interest in pursuing studies in insurance through increased learning motivation and more positive career perceptions.
Game & Code Media Inovatif untuk Pengenalan Konsep Asuransi pada Anak Sekolah Dasar Nalar Istiqomah; Fanny Novika
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 I Made Indra P; Fanny Novika; Nike Septivani; Enno Karina Fandayani
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.
PEMODELAN LAPSE RATE NASABAH PRODUK ASURANSI YANG DIKAITKAN INVESTASI (PAYDI) MENGGUNAKAN COX PROPORTIONAL HAZARD MODEL Fanny Novika; Budi Marsanto
Journal of Economic, Bussines and Accounting (COSTING) Vol. 9 No. 4 (2026): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/9y6bfq40

Abstract

Meningkatnya jumlah pembatalan polis pada Produk Asuransi Jiwa Terkait Investasi (PAYDI) telah menjadi perhatian utama bagi industri asuransi jiwa Indonesia karena berdampak pada perlindungan pelanggan, kinerja perusahaan asuransi, dan keberlanjutan bisnis. Studi ini bertujuan untuk memodelkan risiko pembatalan polis menggunakan Model Bahaya Proporsional Cox dan mengidentifikasi faktor-faktor yang memengaruhi pembatalan polis di antara pemegang polis PAYDI. Data primer dikumpulkan dari 618 pelanggan PAYDI di seluruh Indonesia menggunakan kuesioner terstruktur. Variabel penjelas meliputi pemahaman produk, kepatuhan proses penjualan, transparansi informasi, dan pengalaman klaim, sedangkan variabel respons adalah waktu hingga pembatalan polis. Statistik deskriptif, estimasi kelangsungan hidup Kaplan–Meier, dan regresi Bahaya Proporsional Cox digunakan, dan asumsi bahaya proporsional dievaluasi menggunakan uji residual Schoenfeld. Hasilnya mengkonfirmasi bahwa asumsi bahaya proporsional terpenuhi, memvalidasi penerapan model Cox. Analisis multivariat menunjukkan bahwa transparansi informasi secara signifikan mengurangi risiko pembatalan polis (HR = 0,496; 95% CI: 0,293–0,843; p = 0,009), sedangkan kepatuhan terhadap proses penjualan meningkatkan risiko pembatalan polis (HR = 2,351; 95% CI: 1,001–5,524; p = 0,050). Pengalaman klaim merupakan prediktor terkuat, meningkatkan risiko pembatalan polis lebih dari dua puluh satu kali (HR = 21,540; 95% CI: 10,486–44,247; p < 0,001), sementara pemahaman produk tidak signifikan secara statistik. Model akhir menunjukkan kinerja prediktif yang sangat baik (indeks C = 0,823). Temuan ini menekankan pentingnya meningkatkan transparansi informasi dan memperbaiki layanan klaim untuk mengurangi pembatalan polis dan memperkuat retensi pelanggan pada produk PAYDI.
Co-Authors Amalina, Anvika Nur Antonius Anton Lie Budi Marsanto Chalista, Bunga Dedi Kusdani Dedi Kusdani Elvira Yuliana Enno Karina Fandayani 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