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PREDIKSI PERGESERAN PANGSA PASAR PADA BEBERAPA PRODUK ASURANSI KENDARAAN BERMOTOR MENGGUNAKAN PENDEKATAN RANTAI MARKOV Marta Panjaitan; Dwi Haryanto; M. Nasyubun
Premium Insurance Business Journal Vol. 8 No. 2 (2021): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Manajemen Asuransi Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.541 KB) | DOI: 10.35904/marta080201

Abstract

The diversity of motor vehicle insurance products sold at PT Asuransi Central Asia cabang Cikini makes the choice of products can be tailored to the needs of each insurance buyer. This difference in needs is of course an important thing to be considered by the company in preparing a work plan in the future. By knowing market share and future market share changes, companies can more easily recognize the buying interest and selling power of the products they have. Market share and market share shifts between products in the future can be predicted using the Markov chain method. The result obtained is that insurance companies need to pay more attention to products that are still less desirable judging by the number of sales in a year. This aims to maintain the stability of product sales, especially the company's superior products to be more competitive when juxtaposed with conventional products sold also in other insurance companies.
Perluasan Hutan Mangrove dalam Mitigasi Risiko Bencana Pemanasan Global: Kegiatan PkM di Kawasan Pesisir Muara Angke Jakarta Rukaesih A. Maolani; Achmad Sudiyar Dalimunthe; Dwi Haryanto; Rivo Bifa; Putri Azzahra; Cornelia Juwita; Putu Egawastu Suryamika
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 6 (2021): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v5i6.8096

Abstract

One of the disasters caused by humans is global warming. Global warming is a big problem that is being faced by all human beings and living things on earth. One of the activities that can be carried out in mitigating the risk of global warming is through Mangrove Ecosystem Rehabilitation. The existence of the Mangrove ecosystem in the coastal area of ​​DKI Jakarta Province is currently experiencing a decline in line with the development that changes the function of the area from a protected function to a cultivation function. One area that has experienced this is the coastal area in Muara Angke which has had a negative impact on the environment, namely the function of protecting and securing the coast will naturally be lost. In this 2021 Community Service program, STMA Trisakti has participated in helping to solve the problem of the rate of degradation of the Mangrove Forest by planting 1000 mangrove seedlings in the Muara Angke Eco-tourism area. The planting was carried out on World Environment Day on 5 June 2021.
THE APPLICATION OF MARKOV CHAIN MODEL TO CALCULATE PREMIUM AND RESERVE OF ENDOWMENT INSURANCE Dwi Haryanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.105 KB) | DOI: 10.30598/barekengvol16iss1pp015-022

Abstract

The calculation of premiums and reserves are two essential parts of insurance. The calculation of premiums and reserves in life insurance involves using mortality tables. This research constructed a mortality table for 20-year endowment insurance using the Markov chain model. Two reasons make the policy inactive, namely death or withdrawal. The initial age used in this research is 30 years. Meanwhile, the maximum age to join this life insurance is 40 years. The mortality table that has been obtained is used to calculate premiums and reserves. Furthermore, from the research done, it was found that the age of entry to become a member of endowment insurance affects the number of premiums that must be paid. Meanwhile, the number of reserves required will increase with the increase of customers and the period of calculation of reserves
Prediction analysis of the length of time for changes in the status of positive patients for covid-19 delta and omicron variants using the markov chain model Dwi Haryanto; Fida Fathiyah Addini
Desimal: Jurnal Matematika Vol 5, No 2 (2022): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.521 KB) | DOI: 10.24042/djm.v5i2.13567

Abstract

In this research, a Markov chain model was constructed from the conditions that might be experienced by the people during the Delta or Omicron variant of the COVID-19 pandemic. This condition is divided into 3 states; "0" indicates a healthy condition, "1" indicates the state of being infected with COVID-19, and "2" indicates the death state. Furthermore, from the model obtained, a transition probability matrix is made to determine the transition probability value and calculate the average number of steps needed to get to the death state. From the results of the analysis, the probability of transition to a state of death is 1. This shows that a person will surely die from being healthy or positive for COVID-19 within a certain time. During the Delta variant of the COVID-19 pandemic, the average time that a person reaches a death state from a healthy state is 34.02 years. Meanwhile, the average time taken for someone infected with the Delta variant of COVID-19 to death is 33.79 years. During the Omicron variant of the COVID-19 pandemic, the average time that a person reaches a death state from a healthy state is 37.63 years. Meanwhile, the average time taken for someone infected by the Omicron variant of COVID-19 to death is 37.41. This shows that the average age of a person infected with the Delta variant of COVID-19 has decreased by 2.79 months, while the average age of a person infected with the Omicron variant of COVID-19 has decreased by 2.70 months.
Klasifikasi Tingkat Risiko Kerugian Kecelakaan berdasarkan Karakteristik Pengemudi dengan Analisis Regresi Logistik Ordinal Fida Fathiyah Addini; Dwi Haryanto; Rukaesih A Maolani
Jurnal Matematika Integratif Vol 18, No 2: Oktober 2022
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.169 KB) | DOI: 10.24198/jmi.v18.n2.41317.167-177

Abstract

Pengemudi kendaraan bermotor dapat mengalami kecelakaan yang dapat mengakibatkan luka, cedera, patah tulang bahkan kematian. Tingkat kerugian yang mungkin diderita pengemudi kendaraan dapat dibagi menjadi beberapa tingkatan, seperti kerugian ringan, sedang, dan berat. Kecelakaan pada pengemudi kendaraan dipengaruhi oleh faktor manusia (internal) dan faktor kendaraan dan lingkungan (eksternal). Risiko akibat kecelakaan kendaraan bermotor untuk pengemudi dengan karakteristik yang berbeda pada umumnya tidak akan sama. Tingkat kerugian yang mungkin dialami dipengaruhi oleh karakteristik pengemudi dimana beberapa individu lebih cenderung menunjukkan perilaku mengemudi yang tidak aman dibandingkan yang lain. Dalam penelitian ini, digunakan variabel dependen tingkat kerugian material; kerugian material ringan, sedang dan berat. Selain itu digunakan variabel independen jenis kendaraan, jenis kelamin, tingkat pendidikan, pekerjaan, agama dan usia. Analisis dilakukan dengan metode regresi logistik ordinal menggunakan data kecelakaan lalu lintas di Kabupaten Klungkung Provinsi Bali. Berdasarkan hasil penelitian, variabel independen jenis kendaraan, jenis kelamin, tingkat pendidikan, agama dan usia berpengaruh terhadap tingkat kerugian material dengan ketepatan klasifikasi 76,27%.
Analisis dan Pengukuran Risiko Bagi Penumpang Kendaraan Umum Roda Dua di Jalan Raya Kota Jakarta dan Kabupaten Bekasi Achmad Sudiyar Dalimunthe; Muhammad Ihsan; Rukaesih Achmad Maolani; Dwi Haryanto
Jurnal Bisnis, Manajemen, dan Keuangan Vol 2 No 3 (2021): Jurnal Bisnis, Manajemen, dan Keuangan
Publisher : Fakultas Ekonomi Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research is based on the environmental conditions of traffic in several big cities in Indonesia which have an impact on traffic users, especially users of two-wheeled motorized vehicles or motorcycle taxis (ojek). Traffic congestion demands the need for a fast, safe and cheap means of transportation for the community. The Covid-19 pandemic condition that occurred in Indonesia also had an impact on many people needing work to support themselves and their families. This causes many ojek in big cities to be a rational choice for users of transportation on the highway. This situation can have an impact on vehicle passengers, especially on security, safety and health risks. To achieve this, educational institutions (universities) are the spearhead in providing risk assessments in risk management. Sekolah Tinggi Manajemen Asuransi is a college that has a major in risk management science concentration. On this basis, researchers are interested in conducting research on the analysis of the risk measurement of security, safety and health of passengers on two-wheeled public vehicles on the highway. The type of research carried out is field research using quantitative methods and descriptive analysis approaches. So this type of research requires researchers to be directly involved in the objects and activities carried out. Research respondents are ojek passengers in the cities of Jakarta and Bekasi. Data collection techniques through interviews with questionnaires. There are three main outcomes that are targeted to be carried out in this research, namely, first, providing an analysis of security, safety and health risks for ojek passengers; second, providing recommendations on the need for risk mitigation for ojek passengers; third, introducing insurance as an effective and efficient risk mitigation tool related to risk management for ojek passengers. Keywords: risk management, online ojek, insurance, traffic accidents, risk mitigation ABSTRAK Penelitian ini didasari atas kondisi lingkungan lalu lintas di beberapa kota besar di Indonesia yang berdampak kepada para pemakai lalu lintas, khususnya pengguna alat transportasi kendaraan bermotor roda dua atau ojek. Kemacetan lalu lintas menuntut perlunya alat transportasi yang cepat, aman dan murah bagi masyarakat. Kondisi pandemi covid-19 yang terjadi di Indonesia juga berdampak kepada banyaknya orang membutuhkan pekerjaan untuk menghidupi diri dan keluarganya. Hal ini menyebabkan banyak pula ojek di kota besar yang menjadi pilihan rasional bagi pemakai angkutan di jalan raya. Situasi ini dapat berberdampak bagi penumpang kendaraan, khususnya terhadap risiko keamanan, keselamatan dan kesehatan. Untuk mewujudkan hal ini, maka institusi pendidikan (perguruan tinggi) menjadi ujung tombak dalam memberikan kajian risiko dalam manajemen risiko. Sekolah Tinggi Manajemen Asuransi Trisakti adalah perguruan tinggi yang memiliki jurusan kosentrasi keilmuan manajemen risiko. Atas dasar ini, peneliti tertarik untuk membuat penelitian tentang analisis pengukuran risiko keamanan, keselamatan dan kesehatan penumpang kendaraan umum beroda dua di jalan raya. Jenis penelitian yang dilakukan adalah penelitian lapangan (field research) dengan menggunakan metode kuantitatif dan pendekatan deskriptif analisis. Sehigga jenis penelitian ini menuntut peneliti untuk terjun secara langsung dalam objek dan kegiatan yang dilaksanakan. Responden penelitian adalah penumpang kendaraan ojek di Kota Jakarta dan Kabupaten Bekasi. Teknik pengumpulan data melalui wawancara dengan kuesioner. Terdapat tiga pokok luaran yang ditargetkan yang akan dilaksanakan pada penelitian ini, yaitu, pertama, memberikan kajian analisis risiko keamanan, keselamatan dan kesehatan bagi penumpang kendaraan ojek; kedua, memberikan rekomendasi perlunya mitigasi risiko terhadap penumpang kendaraan ojek; ketiga, memperkenalkan asuransi sebagai sarana mitigasi risiko yang efektif dan efisien terkait dengan manajemen risiko bagi penumpang kendaraan ojek.
PENENTUAN CADANGAN KLAIM IBNR MENGGUNAKAN METODE CHAIN LADDER DAN INFLATION ADJUSTED CHAIN LADDER PADA ASURANSI MARINE Dearmayanti Saragih; Dwi Haryanto; Budi Marsanto
Premium Insurance Business Journal Vol. 10 No. 1 (2023): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Manajemen Asuransi Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35904/premium.v10i1.22

Abstract

Pembayaran klaim dapat dilakukan tidak lama setelah klaim dilaporkan, namun pada beberapa jenis asuransi tertentu, terkadang pembayaran klaimnya membutuhkan waktu yang cukup lama dihitung dari saat terjadinya klaim, seperti klaim asuransi marine. Perusahaan Asuransi wajib menyediakan dana siap pakai secara tepat untuk memenuhi kewajiban kepada tertanggung atau pemegang polis. Perbedaan nilai mata uang saat pemegang polis melakukan klaim dan perusahaan asuransi melakukan pembayaran klaim menyebabkan perbedaan nilai uang yang harus disediakan perusahaan berbeda akibat laju inflasi. Penentuan besar cadangan klaim yang optimal merupakan salah satu hal yang krusial bagi perusahaan asuransi. Dalam tugas akhir data klaim diolah dengan menggunakan metode chain ladder basic dan Inflation adjusted chain ladder untuk menentukan cadangan klaim di masa depan yang harus dibayar dengan menggunakan data run off triangle. Data yang digunakan merupakan data dari jumlah klaim yang diamati di masa lalu yang terletak di segitiga kiri atas dan data yang akan diestimasi terletak di segitiga bawah. Baris pada data run off triangle mewakili periode terjadinya klaim dan kolom mewakili periode pengembangan, periode saat klaim diselesaikan. Penelitian ini akan menggunakan data workshop Aktuaria Asosiasi Asuransi Umum Indonesia (AAUI) mengenai cadangan teknis. Estimasi cadangan klaim yang diperoleh dari kedua metodologi tersebut dibandingkan untuk menentukan metode yang tepat dalam menentukan cadangan klaim IBNR.