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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
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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VIRTUAL TRAINING PELATIHAN CODING UNTUK TENAGA PENDIDIK SD, SMP DAN SMA Istiqomah, Nalar; Novika, Fanny
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 2 No. 1 (2025): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jpmik.v2i1.1556

Abstract

Berdasarkan survey yang telah dilakukan Microsoft YouthSpark #WeSpeakCode dari 1850 siswa, coding lebih banyak ingin diketahui siswa sebanyak 91%. Sayangnya, hanya separuhnya siswa yang memiliki kesempatan belajar coding di sekolah, baik sebagai intrakulikuler maupun ekstrakulikuler. Selain itu, tidak banyak guru dan orang tua yang mempunyai kemampuan coding. Pelatihan coding menggunakan Scratch telah berhasil dilaksanakan dengan tujuan memperkenalkan keterampilan dasar coding kepada guru dan orang tua. Aplikasi Scratch dipilih karena mudah digunakan oleh siapa saja tanpa memerlukan pemahaman mendalam tentang bahasa pemrograman. Melalui kegiatan ini, peserta mampu memahami konsep computational thinking yang menjadi dasar dalam pembelajaran coding. Selain itu, mereka juga berhasil membuat flowchart untuk merancang game sederhana menggunakan Scratch. Berdasarkan hasil kuisioner, seluruh peserta menyatakan puas dengan pelatihan ini dan berharap adanya program lanjutan untuk mempelajari coding lebih mendalam. Hasil ini menunjukkan bahwa pelatihan telah berhasil memperkenalkan keterampilan coding secara efektif sekaligus memotivasi guru dan orang tua untuk mengajarkan coding kepada anak-anak atau siswa mereka.
ANALISIS MODEL EMPIRIK DALAM MELANJUTKAN STUDI DI PERGURUAN TINGGI DI BIDANG ASURANSI Novika, Fanny; Irwandi, Muhammad
Premium Insurance Business Journal Vol. 7 No. 1 (2020): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (673.176 KB)

Abstract

Empirical analysis is an analysis obtained from data that has been observed by a researcher conducted through an experiment or making data on its own. One empirical analysis used is the Structural Equation Model (SEM). SEM is based on causality, where changes in one variable will change the other variables. One form of relationship patterns can be described through path analysis obtained using the SPSS application. Before the data is analyzed, test the reliability of the data with Cronbach’s Alpha. The experimental data used in this study were the analysis of the factors that cause students to continue their studies in university (economic factors, parental education and family environment) and analysis of the factors that cause students to choose to continue their studies in insurance (welfare factors after graduation and interest). On the data of continuing studies in university, the Cronbach's Alpha score is 0.804 and on the data of continuing study interest is 0.862. Both data are greater than 0.6 so it can be said that both data are reliabel. The data of continuing studies in university, which have the highest level of effect on continuing studies to tertiary education is parental education. In the interest analysis data which has a higher effect to measure interest in continuing studies in the insurance field is the level of economic welfare.
ANALISIS BIPLOT UNTUK RETURN ON ASSET (ROA) DAN RETURN ON EQUITY (ROE) PADA PERUSAHAAN ASURANSI JIWA NASIONAL Novika, Fanny; Saptyarani, Amelia
Premium Insurance Business Journal Vol. 8 No. 1 (2021): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (631.509 KB)

Abstract

Biplot analysis is a type of multivariate analysis used to solve problems or process data that involves many variables. The number of variables in a data often makes it difficult to represent the results. Therefore, Biplot is a media solution for describing the data in the summary table in a two dimensional graph. This analysis can be applied to find out information about the relative position, similarity of characteristics between objects and the diversity of variables or variables in the elements of return on assets and return on equity in national life insurance companies related to aspects of a health assessment and company grouping. The results of the biplot analysis show two categories, namely grouping based on biplot points and year variability. There are differences in the results of national life insurance groupings, namely the AJB Bumiputera 1912 company, Central Asia Raya Life Insurance, Equity Life Indonesia, Heksa Solution Insurance, Jiwasraya Insurance, Indosurya Sukses Life Insurance. Meanwhile, national life insurance companies that have the same characteristics for return on assets and return on equity are divided into 3 (three) groups. In the management aspect, namely related to life insurance companies that are stable and healthy in investing, ROA and ROE are shown by group III. The greatest and most dominant diversity of years for return on assets lies in 2018, while for return on equity, the greatest diversity is in 2019. There is a difference in the results of the variation in ROA and ROE due to the variable used differently. ROA shows aspects of assets consisting of liabilities and equity. If the acquisition of large assets, it can be used to pay corporate liabilities. ROE only shows from the side of equity without paying attention to liabilities.
Analisis Tingkat Suku Bunga pada Tarif Premi Tunggal Bruto Produk Asuransi Jiwa Kredit Namiera, Adinda; Novika, Fanny; Kusdani, Dedi
Premium Insurance Business Journal Vol. 9 No. 2 (2022): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : P3M Trisakti School of Insurance (TSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35904/premium.v9i2.33

Abstract

Asuransi Jiwa Kredit adalah produk asuransi jiwa yang memberikan manfaat berupa pelunasan kredit kepada pemberi pinjaman apabila debitur atau tertanggung meninggal dunia dalam periode asuransi. Premi asuransi jiwa kredit dihitung berdasarkan nilai kini dari manfaat asuransi yang akan diterima oleh tertanggung. Selain besar manfaat, salah satu faktor yang memengaruhi perhitungan premi adalah penetapan tingkat suku bunga. Peneliti ingin mengetahui perubahan suku bunga terhadap perhitungan tarif premi bruto asuransi jiwa kredit dan ingin mengetahui tingkat suku bunga ideal dalam pembentukan tarif premi bruto yang memenuhi prinsip-prinsip penetapan tarif premi dengan menggunakan metode komutasi (deterministic) dengan Tabel Mortalita IV tahun 2019 dengan tingkat suku bunga dari 2% sampai dengan 10% dengan kenaikan 0.5%, biaya akuisisi sebesar 10%, biaya administrasi sebesar 10%, profit margin sebesar 15% dan biaya operasional sebesar 0,05%. Untuk mencari suku bunga yang ideal, penelitian ini menggunakan analisis Procrustes dengan melakukan perbandingan dengan rate asuransi yang ada di perusahaan asuransi. Dari hasil analisa didapatkan adanya fluktuasi tingkat suku bunga terhadap perhitungan premi bruto asuransi jiwa kredit. Tingkat Suku bunga ideal yang didapatkan dari ukuran kemiripan Procrustes terbesar dari hasil perhitungan menggunakan metode komutasi (deterministik) yaitu suku bunga teknik 2% (untuk laki-laki) dan 7,5% sampai dengan 10% (untuk perempuan).
PELATIHAN PENCADANGAN DOKUMEN PENTING SECARA DIGITAL BAGI WARGA SUNGAI BAMBU BEKASI SEBAGAI ANTISIPASI BENCANA BANJIR Novika, Fanny; P, I Made Indra
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 9 No. 1 (2025): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v9i1.8604

Abstract

Desa Segara Makmur salah satu desa yang seringkali mengalami banjir saat curah hujan cukup tinggi terjadi di Jabodetabek. Salah satu upaya untuk meminimalkan dampak negatif banjir adalah dengan melakukan persiapan yang matang, termasuk mencadangkan dokumen penting. Kegiatan pengabdian masyarakat ini dilakukan dengan tujuan untuk meningkatkan kesiapsiagaan masyarakat dalam menghadapi bencana banjir dalam hal mengamankan dokumen penting. Pelaksanaan pengabdian kepada masyarakat ini adalah dengan metode Service Learning yang juga sebagai media pembelajaran kolaboratif bersama mahasiswa untuk belajar bersama masyarakat melalui pengalaman langsung. Hasil kegiatan menunjukkan peningkatan kesadaran warga akan pentingnya pencadangan dokumen dan kemampuan mereka dalam melakukan pencadangan dokumen secara digital. Secara keseluruhan sebanyak 65% peserta menjawab sangat puas terhadap pelatihan yang telah dilakukan dan 35% menjawab puas. Sementara itu, tidak ada peserta yang menjawab cukup puas, kurang puas dan tidak puas. Dapat disimpulkan, kegiatan ini menambah kesiapan warga untuk dapat menghadapi banjir melalui pencadangan dokumen secara digital.
Comparative Performance of IndoBERT and IndoLEM Baseline Models for Post-Disaster Health Information Extraction from Indonesian Online News Istiqomah, Nalar; Novika, Fanny
Journal of Computer Science and Informatics Engineering Vol 4 No 3 (2025): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i3.1174

Abstract

Natural disasters often have significant impacts on public health, yet systematic monitoring of post-disaster diseases in Indonesia remains limited. This study compares the performance of two Named Entity Recognition (NER) models in extracting health impacts, affected locations, and disaster types from Indonesian-language online news articles. The first model is IndoBERT, fine-tuned using 1,137 manually validated disaster-related news articles. The second comprises baseline models from the IndoLEM benchmark, namely mBERT and XLM-RoBERTa, without domain-specific training. Evaluation results show that IndoBERT outperforms the baseline models, achieving 90.00% accuracy and an F1-score of 88.26%, compared to mBERT (72.93%) and XLM-R (76.44%). Further analysis of the extracted entities reveals spatial and temporal disease trends: floods in Java are consistently associated with diarrhea and skin diseases, while volcanic eruptions in eastern Indonesia are linked to respiratory infections and hypertension. These findings highlight the importance of selecting appropriate models to support data-driven public health monitoring systems in disaster-prone regions
The estimation of the hazard function of earthquakes in aceh province with likelihood approach Maulidi, Ikhsan; Novika, Fanny; Mahmudi, Mahmudi; Apriliani, Vina; Syazali, Muhamad
Desimal: Jurnal Matematika Vol. 7 No. 3 (2024): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v7i3.21489

Abstract

In this article, we propose a novel application of the single decrement method with a likelihood approach to estimate the hazard function of earthquake events in Aceh province. While this method has traditionally been used in actuarial sciences for mortality table estimation, its application in seismic hazard estimation represents a new perspective in the field of earthquake risk analysis. To enhance the accuracy of the model, we applied the Box-Cox transformation to normalize the data and used simple regression to formulate the hazard function. Our results demonstrate that a cubic equation provides a more accurate model compared to linear and quadratic equations, as evidenced by the lower Mean Square Error (MSE). This study offers a new approach to hazard rate estimation that surpasses conventional methods by providing more informative and interpretable results for earthquake risk assessment.
Sentiment Analysis Penyedia layanan Asuransi dari Media Sosial Twitter Istiqomah, Nalar; Novika, Fanny
Jurnal Tekno Kompak Vol 18, No 1 (2024): FEBRUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3465

Abstract

Abstrak− Tujuan dari penelitian ini adalah menerapkan analisis sentimen untuk mengevaluasi pandangan masyarakat terhadap penyedia layanan asuransi kesehatan, sehingga dapat memahami reputasi penyedia layanan asuransi. Penelitian ini menggunakan algoritme Naïve Bayes untuk mengidentifikasi sentimen pengguna Twitter terkait penyedia layanan asuransi kesehatan dan mengevaluasi akurasi hasilnya. Penelitian ini dilakukan untuk mendapatkan informasi sentimen masyarakat tentang perspektif penyedia layanan asuransi kesehatan melalui media sosial twitter. Pertumbuhan pengguna Twitter yang mencapai lebih dari 500 juta twit setiap hari memberikan potensi Big Data untuk mengevaluasi pandangan masyarakat terhadap asuransi kesehatan. Penelitian ini menggunakan metode penelitian deskriptif kualitatif dengan dukungan bahasa pemograman Python. Populasi penelitian ini mencakup semua twit yang diposting oleh pengguna di Indonesia. Kami menggunakan metode purposive sampling, yaitu pemilihan sampel berdasarkan kriteria tertentu yang sesuai dengan tujuan penelitian, seperti twit yang berhubungan dengan penyedia layanan asuransi kesehatan. Data yang digunakan adalah data primer, yaitu twit dari pengguna Twitter di Indonesia yang berkaitan dengan penyedia layanan asuransi kesehatan. Pengumpulan data dilakukan melalui web scraping dari aplikasi Tweet Harvest, dilanjutkan dengan proses labeling, dan kemudian data dipraproses melalui tahapan pembersihan, tokenisasi, penyaringan, dan stemming. Terakhir, algoritme Naïve Bayes digunakan untuk analisis sentimen. Dari proses pengambilan data, kami berhasil mengumpulkan 31.190 data, yang kemudian disaring menjadi 1.483 data yang hanya berupa hasil review. Pada tahap pelabelan, 889 twit mendapatkan label positif, sementara 594 twit mendapatkan label negatif. Didapatkan akurasi dari algoritme Naïve Bayes adalah 74.41%. Hasil ringkasan twit menggambarkan pandangan yang beragam terkait BPJS Kesehatan dan asuransi kesehatan swasta. Terdapat pandangan positif terhadap BPJS Kesehatan, termasuk premi yang terjangkau, cakupan penyakit kritis, dan pendaftaran tanpa medical check-up. Namun, ada kritik terhadap prosedur pengobatan yang dianggap rumit, kesulitan dalam menghentikan keanggotaan, dan perdebatan tentang prinsip gotong royong. Di sisi lain, asuransi kesehatan swasta mendapatkan pandangan positif karena prosedur yang lebih sederhana, antrian cepat, dan pilihan produk yang sesuai dengan penghasilan individu. Namun, terdapat juga pandangan negatif, termasuk gangguan telemarketing, kasus gagal bayar oleh penyedia asuransi, dan konsumen yang merasa tertipu ketika asuransi pendidikan beralih menjadi asuransi kesehatan tanpa persetujuan mereka.Kata Kunci: BPJS Kesehatan; Naïve Bayes; Penyedia layanan Asuransi; Sentiment Analysis; Twitter
Extracting Post‑Disaster Health Impact Information from News Reports Using Named Entity Recognition Istiqomah, Nalar; Novika, Fanny
Journal of INISTA Vol 7 No 2 (2025): May 2025
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v7i2.1814

Abstract

Natural disasters have a significant impact on public health, giving rise to various post-disaster illnesses. This study presents an automated information‑extraction framework based on Named Entity Recognition (NER), leveraging the IndoBERT model to identify disaster types, health impacts, and affected locations from online news reports. Data were gathered via web scraping from multiple reputable news portals and subsequently processed through tokenization, stop‑word removal, and lemmatization. Extracted entities were visualized via bar charts and word clouds to reveal disease patterns associated with each disaster type. Results indicate that floods have a significant public health impact, with skin diseases being the most prevalent, followed by diarrhea, fever, influenza, and Acute Respiratory Infections (ARIs). Volcanic eruptions are linked to health conditions such as ARI, hypertension, diarrhea, and influenza, whereas earthquakes show strong correlations with diarrhea, ARI, skin diseases, and fever. Droughts and landslides are closely associated with diarrheal outbreaks due to compromised sanitation resulting from limited access to clean water. Although less frequently reported, tsunamis also exhibit a notable association with cases of diarrhea. The proposed method achieves 90 % accuracy and an 88 % F1‑score. These findings confirm the effectiveness of our NER-based approach in detecting causal relationships between disasters and health outcomes, providing valuable insights for policymakers and healthcare professionals in designing targeted post-disaster mitigation and response strategies.
Comparasion Model Analysis Time of Earthquake Occurrence in Indonesia based on Hazard Rate with Single Decrement Method Novika, Fanny; Maulidi, Ikhsan; Marsanto, Budi; Amalina, Anvika Nur
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 1 (2022): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i1.5535

Abstract

The purpose of this studi is to find an expectations and variability as estimators of the risk of earthquakes occurring in each province in Indonesia. Indonesia is a country that prone to natural disasters, especially earthquakes and tsunamis. The earthquake disaster damage the buildings and casualties. The risk of loss from earthquakes can be transferred using insurance. Insurance companies certainly need an analysis to estimate the probability of an earthquake occurring at a certain location and time. Hazard rate has an important role in the prediction theory of the process of earthquakes. The hazard rate can be known by the single decrement method. After the hazard rate is known, the survival function and the distribution function of the cumulative distribution of earthquake data in Indonesia will be known to look for expectations and variability as estimators of the risk of earthquakes occurring in each province in Indonesia. The data used in this study is earthquake that happen in Indonesia categorized as destructive earthquake minimum 5 magnitude. We used the data to compare a hazard function using linear model, quadratic model, cubic model and exponential. First, we plot and then using each models find the standard error. The best model suggest for Indonesia prediction Time of Earthquake Occurrence using an exponential model.
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