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Efficiency of General Insurance in Malaysia Using Stochastic Frontier Analysis Mohamad Arif Awang Nawi; Wan Muhamad Amir W Ahmad; Nor Azlida Aleng
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 11, No 2 (2011)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v11i2.1050

Abstract

General insurance comprises insurance of property against fire and burglary, floods, storms,earthquakes and so on. The purpose of the current study is to measure the relative efficiency of generalinsurance in Malaysia by using SFA for the year 2007 until 2009, consist of 26 general insurancecompanies by using the software FRONTIER to obtain the maximum likelihood (ML) and to get therelative efficiency. The finding showed that Oriental Capital Assurance Bhd (OCA) is at rank 1 for thethree years. The 0.03975 value for the variance gamma ( γ ) parameter in this study is far from one,suggesting that all of the residual variations are not due to the inefficiency effects, but to randomshocks. It can therefore, be concluded that the technical inefficiency effects associated with theproduction of the total profits by the input of the general insurence are very low.
Identifying Unwanted Conditions Using Lower Boundaries on Individual Control Charts in the Context of Supply Chain Economic Resilience of Cities in Indonesia Purwandari, Titi; Sukono, Sukono; Hidayat, Yuyun; Ahmad, Wan Muhamad Amir W
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5346

Abstract

This study presents the unwanted conditions determination. The economic resilience model without taking into account the level of disruption and unwanted conditions is unrealistic model. The Objective is to determine unwanted conditions as a key criterion in determining the economic resilience status of a city. This study used data on Concern variables group and Control variables groups from website of Central Bureau of Statistics Indonesia. These data covered all 514 cities in Indonesia and are observed for a 5-year period from 2014 to 2018. The data is useful to develop a statistical model that can explain well the pattern of relationships between concern variables and control variables. Piecewise linear regression is applied to identify statistics model between Pc and Z, Lower Control Limit (LCL) for variable Z using Individual control Chart is applied to determine the unwanted conditions.  We obtained that the control variable, Z is the ratio between the original income of the region (PAD) with the number of poor people in a city and the concern variable is income per capita, Pc of a city. Piecewise linear regression with breakpoint 126,255,066 can explain well the pattern of relationships between Z and Pc variables. The equation is: Pc = 26,660,263+0.28Z, R-square = 70.48%. LCL value is.1.884.059.5 so all cities that have a Z value below 1.884.059.5 fall into the unwanted condition area and after careful examination is obtained percentage of cities classified as do not have economic resilience , PER =28%. Cities that fall into unwanted conditions are defined as cities that cannot bear receiving economic shocks.
Prediction of Factors for Patients with Hypertension and Dyslipidemia Using Multilayer Feedforward Neural Networks and Ordered Logistic Regression Analysis: A Robust Hybrid Methodology Ahmad, Wan Muhamad Amir W; Adnan, Mohamad Nasarudin Bin; Yusop, Norhayati; Shahzad, Hazik Bin; Ghazali, Farah Muna Mohamad; Aleng, Nor Azlida; Noor, Nor Farid Mohd
Makara Journal of Health Research Vol. 27, No. 2
Publisher : UI Scholars Hub

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

Abstract

Background: Hypertension is characterized by abnormally high arterial blood pressure and is a public health problem with a high prevalence of 20%–30% worldwide. This research combined multiple logistic regression (MLR) and multilayer feedforward neural networks to construct and validate a model for evaluating the factors linked with hypertension in patients with dyslipidemia. Methods: A total of 1000 data entries from Hospital Universiti Sains Malaysia and advanced computational statistical modeling methodologies were used to evaluate seven traits associated with hypertension. R-Studio software was utilized. Each sample's statistics were calculated using a hybrid model that included bootstrapping. Results: Variable validation was performed by using the well-established bootstrap-integrated MLR technique. All variables affected the hazard ratio as follows: total cholesterol (β1: −0.00664; p < 0.25), diabetes status (β2: 0.62332; p < 0.25), diastolic reading (β3: 0.08160; p < 0.25), height measurement (β4: −0.05411; p < 0.25), coronary heart disease incidence (β5: 1.42544; p < 0.25), triglyceride reading (β6: 0.00616; p < 0.25), and waist reading (β7: −0.00158; p < 0.25). Conclusions: A hybrid approach was developed and extensively tested. The hybrid technique is superior to other standalone techniques and allows an improved understanding of the influence of variables on outcomes.
Promoting Competence and Confidence: Simulation-Based Basic Life Support Training for Jordanian Nurses Abu-Wardeh, Yousef Shukry; Ahmad, Wan Muhamad Amir W; Hamzah, Mohd Shaharudin Shah Che; Hassan, Intan Idiana
Jurnal Keperawatan Indonesia Vol 28 No 3 (2025): November
Publisher : Fakultas Ilmu Keperawatan Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/jki.v28i3.1395

Abstract

Cardiopulmonary arrest is a major health issue that affects healthcare providers. The COVID-19 pandemic has added a new risk to rescuers who may be attempting to resuscitate victims. It is essential to strike a balance between resuscitation and the need to protect oneself from infection. The study aims to evaluate the effectiveness of simulation training in enhancing the Basic Life Support (BLS) knowledge, skills, and confidence levels of newly employed nurses. The study employed a single-masked, prospective, randomized controlled trial design, which consisted of three phases: a pre-test, an immediate post-test, and a post-test conducted three months later. The American Heart Association’s BLS test was used to assess knowledge and practical skills of 102 nurses who were randomly assigned to two groups. The nurses' con-fidence was evaluated through a self-evaluation questionnaire. The control group received the brochure, and the inter-ventional group received a seven-hour BLS training using simulation. Both arms were homogenous in their characteris-tics, according to Mann-Whitney analysis. Independent T-test reflected homogenous pre-test results in knowledge, prac-tice, and confidence between both arms. The result also showed significant differences between both groups in the post-test-1 in knowledge (p < 0.001), practice (p < 0.001) and confidence (p = 0.024); and significant differences in the post-test-2 between both groups in knowledge (p < 0.001), practice (p = 0.002) and confidence (p < 0.001). BLS training using simulation is an efficient method that enables participants to become more knowledgeable and skilled in BLS, resulting in a high level of confidence. Frequent, short BLS training using simulation helps maintain competence and confidence, ensuring readiness for CPR in case of cardiopulmonary arrest. Keywords: basic cardiac life support, confidence, knowledge, practice, simulation training   Abstrak Mempromosikan Kompetensi dan Kepercayaan Diri: Pelatihan Bantuan Hidup Dasar Berbasis Simulasi bagi Perawat Jordania. Henti jantung paru adalah masalah kesehatan utama yang memengaruhi penyedia layanan kesehatan. Pandemi COVID-19 menambah risiko bagi tim penyelamat yang berupaya menyadarkan korban. Penting menyeimbangkan kebutuhan resusitasi dengan perlindungan diri dari infeksi. Penelitian ini mengevaluasi efektivitas pelatihan simulasi dalam meningkatkan pengetahuan, praktik, dan kepercayaan diri perawat baru. Studi ini menggunakan desain single-masked prospective randomized control trial yang terdiri dari tiga fase: pre-test, post-test segera setelah intervensi, dan post-test yang dilakukan tiga bulan kemudian. Tes Basic Life Support (BLS) dari American Heart Association digunakan untuk menilai pengetahuan dan keterampilan praktik. Selain itu, kepercayaan diri perawat dievaluasi melalui kuesioner evaluasi diri. Seratus dua perawat didistribusikan acak ke dua kelompok; kontrol menerima brosur, intervensi menerima pelatihan BLS tujuh jam menggunakan simulasi. Kedua kelompok memiliki karakteristik homogen dengan analisis Mann-Whitney. Uji-T independen menunjukkan hasil pra-tes homogen dalam pengetahuan (p = 0,324), praktik (p = 0,887) dan kepercayaan diri (p = 0,304). Hasil menunjukkan perbedaan signifikan pada post-test-1 dalam pengetahuan (p < 0,001), praktik (p < 0,001) dan kepercayaan diri (p = 0,024); serta post-test-2 dalam pengetahuan (p < 0,001), praktik (p = 0,002) dan kepercayaan diri (p < 0,001). Pelatihan BLS dengan simulasi adalah metode efisien yang meningkatkan pengetahuan, keterampilan, dan kepercayaan diri peserta dalam BLS. Pelatihan BLS singkat dan sering menggunakan simulasi membantu menjaga kompetensi dan kepercayaan diri, memastikan kesiapan untuk CPR jika terjadi henti jantung dan paru. Kata Kunci: bantuan hidup jantung dasar, kepercayaan diri, pelatihan simulasi, pengetahuan, praktik