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Romantica, Krishna Prafidya
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Journal : Economics, Business, Management,

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Estimasi Nilai Proyek Bioteknologi dengan Metode Learning Options yang Dimodifikasi Jalaludin, Paiz; Romantica, Krishna Prafidya
Ebisma (Economics, Business, Management, & Accounting Journal) Vol. 3 No. 1 (2023): Economics, Business, Management, & Accounting Journal (Ebisma)
Publisher : Haka Vyza Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61083/ebisma.v3i1.30

Abstract

Industri bioteknologi memiliki peluang yang cukup besar pasca pandemi Covid-19, baik di dunia maupun di di Indonesia. Oleh karena itu, perlu adanya perhatian dari berbagai kalangan termasuk akademisi dan peneliti dari berbagai disiplin ilmu. Salah satu aspek industri bioteknologi yang perlu menjadi perhatian adalah ketersedian metode untuk mengestimasi proyek tersebut. Penelitan ini menawarkan metode learning options yang dimodifikasi, sebagai pengembangan dari metode learning options standar versi Guthrie untuk mengestimasi nilai proyek bioteknologi. Hasil dari penelitian ini menunjukkan bahwa metode learning options yang dimodifikasi dapat meningkatkan keakuratan estimasi nilai proyek bioteknologi.
Perhitungan Premi Murni Kendaraan Bermotor Menggunakan Generalized Linear Models Romantica, Krishna Prafidya; Paiz Jalaludin
Ebisma (Economics, Business, Management, & Accounting Journal) Vol. 3 No. 2 (2023): Economics, Business, Management, & Accounting Journal (Ebisma)
Publisher : Haka Vyza Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61083/ebisma.v3i2.31

Abstract

Insurance is a form of agreement between the insurer against the insured party (insurance company), where the insurer will pay a premium to the insured every month as a form of collateral for loss or damage that befalls him for certain events. Researchers took data by distributing questionnaires to respondents. Some covariate variables used in the study include: gender, vehicle age, vehicle insurance costs, vehicle use, vehicle mileage every year, and claims records in the last three years. Meanwhile, the dependent variable is frequency claim and claim severity. The researcher estimates the Generalized Linear Models (GLZ) parameters using the maximum likelihood estimation (MLE). The next step, researchers conducted a model compatibility test on the dependent variable using calculations on the Akaike Information Criteria (AIC), where the model chosen was the model with the lowest AIC value. Based on this, the researcher can determine covariate variables that affect the dependent variable and model it. The final step is the researcher calculates the probability of claim frequency, claim severity, and estimates the amount of pure premiums charged to respondents.
Co-Authors Agung Nugraha Amigo, Royyan Andriani, Rosa Ani Nuraini Anuraga Jayanegara Gentari, Putu Tika Dinda Hasvi, Ismail Heri Kurniawan, Heri Husni Johan, Arsyelina Iriani Tarigan, Asmara Johan, Arsyelina Husni Leo, Jason Filbert Mariss, Diajeng Banowati Martinasari, Made Diyah Putri Naili Muna, Siti Umamah Paiz Jalaludin Putri Martinasari, Made Diyah Rahman, Alrafiful Tri Wijayanti Septiarini