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All Journal Jurnal Riset Keuangan dan Akuntansi (JRKA) JURNAL AXIOMA : Jurnal Matematika dan Pembelajaran Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Pedagogy : Jurnal Pendidikan Matematika Al Khawarizmi: Jurnal Pendidikan Matematika ASERSI : Jurnal Akuntansi Terapan dan Bisnis Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Inovasi Masyarakat Indonesia Karya Nyata: Jurnal Pengabdian Kepada Masyarakat
Fithri Sri Mulyani
STIE Cipasung Tasikmalaya
Agriculture, Biological Sciences & Forestry Humanities Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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Analisis Prediksi Kebangkrutan Perusahaan Asuransi di Bursa Efek Indonesia Menggunakan Model Altman Z-Score Sansivani Suvanissa; Fithri Sri Mulyani; Ahmad Fitri
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2026): Exploring Mathematics through Education, Modeling, Finance, and Cultural Perspe
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i2.9056

Abstract

With the increasing economic uncertainty and claims risk that can affect the solvency level of companies, evaluating the financial condition of insurance companies becomes important. Management and regulators need to use analyzes that can identify bankruptcy risks early to make decisions.This study aims to analyze the financial condition of insurance companies listed on the Indonesia Stock Exchange for the 2021–2025 period using two main indicators, namely Risk Based Capital (RBC) and Altman Z-Score. The research method used is quantitative with a descriptive approach based on secondary data from annual financial reports. The results of the study show that most insurance companies have RBC above the minimum requirement of the Financial Services Authority (OJK) of 120%, with VINS and ABDA recording the highest RBC of 1,685.96% and 744.06% in 2025. Based on the modified Altman Z-Score, of the eight insurance companies studied, four companies are in the safe category, namely PT.AMAG, PT.ABDA, PT.VINS and PT.AHAP. And the other four are in the gray zone category, namely PT.YOII, PT.ASBI, PT.MREI and PT.ASDM. The conclusion of this study is that the majority of insurance companies have healthy financial conditions during the 2021–2025 period, with liquidity management, profitability, and capital structure being key factors in reducing bankruptcy risk.
Penerapan Model Geometric Brownian Motion dalam Memprediksi Harga Penutupan Saham Sektor Asuransi di Bursa Efek Indonesia (Studi Kasus: PT. Asuransi Multi Artha Guna Tbk) Syifa Ajmilatunnisa; Fithri Sri Mulyani; Ahmad Fitri
Venn: Journal of Sustainable Innovation on Education, Mathematics and Natural Sciences Vol. 5 No. 4 (2026): MIPA dan dan Pendidikan lingkup MIPA
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/venn.v5i4.514

Abstract

Ideal stock price prediction model should capture the random and fluctuating nature of stock price movements to produce more accurate forecasts. Since stock prices are highly dynamic and subject to unexpected changes, predicting future prices remains challenging due to market uncertainty and volatility. Nevertheless, many previous studies have relied on deterministic approaches, such as linear regression and ARIMA, which often fail to adequately represent stochastic market behavior. Therefore, this study aims to develop a mathematical model for predicting future stock prices using the Geometric Brownian Motion (GBM) model, particularly to support investors in selecting companies within the insurance sector. This research employs descriptive and predictive quantitative approaches. The descriptive approach examines the historical characteristics of stock price data, while the predictive approach applies the GBM model to represent asset price movements as a stochastic process influenced by return and volatility parameters. The study focuses on PT Asuransi Multi Artha Guna Tbk (AMAG) during the 2024–2026 period, using approximately 500 historical data observations collected from Investing.com. The findings indicate that the GBM model achieved a Mean Absolute Percentage Error (MAPE) of 8.09%, which is below the 10% threshold and demonstrates a very high level of predictive accuracy. These results suggest that the GBM model effectively captures the price dynamics of AMAG stock and can serve as a reliable forecasting tool for investment analysis. Future studies are recommended to incorporate external economic factors or compare GBM with other stochastic models to further improve prediction accuracy and reduce forecasting errors.
Pendampingan Pembelajaran Geometri melalui Digibook Berbasis Etnomatematika untuk Meningkatkan Literasi Spasial Siswa di SMP IT Qoshrul Muhajirin Kabupaten Tasikmalaya Fithri Sri Mulyani; Yugi Hilmi; Dita Kumala Sari; Puja Oktavia; Siti Azizah
Karya Nyata : Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 2 (2026): Juni : Karya Nyata : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karyanyata.v3i2.3200

Abstract

Geometry learning at the Junior High School (SMP) level frequently faces challenges due to the abstract nature of the objects, which impacts students' low spatial literacy. This issue is exacerbated by the dominance of conventional teaching methods that lack interactive digital media. This community service activity aims to enhance students' spatial literacy at SMP IT Qoshrul Muhajirin through learning assistance using ethnomathematics-based digibooks. The method employed consists of four stages: Planning, Acting, Observing, and Reflecting. Data were collected through observation, student response questionnaires, as well as pre-test and post-test instruments. The results indicate a significant improvement in students' spatial literacy by 22.70%, with the average score increasing from 43% in the initial stage to 65.70% following the assistance. Furthermore, 91.3% of students provided positive responses regarding the ease of use of the media, and 90.4% felt more motivated in learning. It can be concluded that the use of ethnomathematics-based digibooks is effective as an innovative learning solution capable of integrating digital technology with local cultural values to optimize students' spatial abilities.
Co-Authors Ahmad Fitri Dita Kumala Sari Fazriansyah, Muh Fajar Harahap, Sahrona Hilmi, Yugi Indriani, Evi N. Nelis Febriani SM Nuk Ghurroh Setyoningrum Pery Jayanto Pian Ramdan Prayoga, Cepi Juniar Puja Oktavia Putri, Meirin Dwiningtyas Ramdan, Pian Robby Maududy Sansivani Suvanissa Siti Azizah Susi Mulyati Syifa Ajmilatunnisa Wiwit Damayanti Lestari, Wiwit Damayanti Lestari Yugi Hilmi Yusup Junaedi