Ali Sakti, Ali
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KARAKTERISTIK MORTALITAS JEMAAH HAJI INDONESIA AKIBAT PENYAKIT KARDIOVASKULAR Sakti, Ali; Alwi, Idrus; Muhadi, Muhadi; Shatri, Hamzah
Jurnal Penyakit Dalam Indonesia Vol 6, No 4 (2019)
Publisher : Internal Medicine Department, Faculty of Medicine Universitas Indonesia-RSCM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.661 KB) | DOI: 10.7454/jpdi.v6i4.355

Abstract

Pendahuluan. Angka morbiditas dan mortalitas jemaah haji Indonesia masih tinggi. Penyakit kardiovaskular adalah salah satu masalah kesehatan pada jemaah haji Indonesia dan penyebab tertinggi kematian jemaah haji dalam tiga tahun terakhir. Penelitian ini dilakukan untuk mengetahui karakteristik jemaah haji Indonesia tahun 2017 yang mengalami kematian akibat penyakit kardiovaskular.Metode. Penelitian deskriptif terhadap jemaah haji Indonesia tahun 2017. Analisis dilakukan untuk menilai karakteristik jemaah haji Indonesia yang mengikuti ibadah haji tahun 2017 serta karakteristik jemaah haji yang meninggal akibat penyakit kardiovaskular.  Hasil. Proporsi kematian akibat penyakit kardiovaskular adalah 49,2% dari seluruh kematian pada jemaah haji Indonesia tahun 2017.  Jemaah haji umumya berada pada kategori risiko tinggi. Jemaah haji yang meninggal akibat penyakit kardiovaskular sebagian besar berusia lebih dari 60 tahun (76,7%), memiliki faktor risiko kardiovaskular yakni hipertensi (53,4%) dan obesitas (37,3%), serta jemaah dengan waktu keberangkatan gelombang akhir (53%).Simpulan. Proporsi kematian akibat penyakit kardiovaskular pada jemaah haji Indonesia tahun 2017 adalah 49,2%. Karakteristik Jemaah haji yang meninggal dengan sebab akibat penyakit kardiovaskular umumnya berusia lebih dari 60 tahun, hipertensi, obesitas, dan waktu keberangkatan akhir. Kata Kunci: Jemaah haji, kematian, kardiovaskular Characteristics of the Indonesian Pilgrims Mortality due to Cardiovascular Disease Introduction. Cardiovascular disease is one of the health problems in Indonesian pilgrims and has become the main cause of death for pilgrims in the past 3 years. Most of them are considered high risk for cardiovascular disease. Some of those risk factors are predicted to have strong association with the pilgrims mortality rate. This study is meant to seek for risk factor associated with the pilgrims mortality rate.Methods. Observational study method of the Indonesian pilgrims in 2017 was conducted to assess the characteristics of Indonesian pilgrims who follow the hajj in 2017 as well as the characteristics of pilgrims who died from cardiovascular disease.Result. The proportion of mortality from cardiovascular disease was 49.2% of all deaths in the Indonesian hajj pilgrims in 2017.  Generally, pilgrims are in the category of high risk. Pilgrims who died from cardiovascular disease are mostly aged over 60 years (76.7%) with cardiovascular risk factors including hypertension (53.4%) and obesity (37.3%), and pilgrims with the final wave departure time (53%).Conclusios. The proportion of deaths from cardiovascular disease in the Indonesian pilgrims in 2017 is 49.2%. The characteristics of pilgrims who died with the cause of cardiovascular disease are generally age more than 60 years, pilgrims with hypertension, obesity, and final departure time.
Analyzing the profit-loss sharing contracts with Markov model Wahyudi, Imam; Sakti, Ali
Communications in Science and Technology Vol 1 No 2 (2016)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.1.2.2016.17

Abstract

The purpose of this paper is to examine how to use first order Markov chain to build a reliable monitoring system for the profit-loss sharing based contracts (PLS) as the mode of financing contracts in Islamic bank with censored continuous-time observations. The paper adopts the longitudinal analysis with the first order Markov chain framework. Laplace transform was used with homogenous continuous time assumption, from discretized generator matrix, to generate the transition matrix. Various metrics, i.e.: eigenvalue and eigenvector were used to test the first order Markov chain assumption. Cox semi parametric model was used also to analyze the momentum and waiting time effect as non-Markov behavior. The result shows that first order Markov chain is powerful as a monitoring tool for Islamic banks. We find that waiting time negatively affected present rating downgrade (upgrade) significantly. Likewise, momentum covariate showed negative effect. Finally, the result confirms that different origin rating have different movement behavior. The paper explores the potential of Markov chain framework as a risk management tool for Islamic banks. It provides valuable insight and integrative model for banks to manage their borrower accounts. This model can be developed to be a powerful early warning system to identify which borrower needs to be monitored intensively. Ultimately, this model could potentially increase the efficiency, productivity and competitiveness of Islamic banks in Indonesia. The analysis used only rating data. Further study should be able to give additional information about the determinant factors of rating movement of the borrowers by incorporating various factors such as contract-related factors, bank-related factors, borrower-related factors and macroeconomic factors.