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All Journal The Indonesian Journal of Business Administration Desimal: Jurnal Matematika
Nanang Basuki
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Decision Sciences, Operations Research & Management Education Mathematics Social Sciences

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Evaluation on Planning, Recruitment and Selection of New Employees Case Study in Bank Syariah Muamalat Indonesia Basuki, Nanang; Tjakraatmadja, Jann Hidajat
The Indonesian Journal of Business Administration Vol 1, No 10 (2012)
Publisher : The Indonesian Journal of Business Administration

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Abstract

PT Bank Syariah Muamalat Indonesia (BMI) is the second largest Islamic bank in Indonesia. As a leading Islamic bank in market share, BMI challenged to grow and aspires to become the 10th largest bank in Indonesia in 2015 (the end of 2011, assets of BMI is on the order-23). To increase service and to support a rapid business growth, Bank Muamalat has made a commitment to increase physical infrastructure and electronic infrastructure. As many as 177 new outlets and 350 new ATM will be open in 2012. The opening of new infrastructures will be supported by the increase of human resources more than 2.000 employees. The study aim to evaluate the existing planning, recruitment and selection process to get new employees at BMI.  Based on the facts presented, focus group discussion that involves operation managers and conduct questionnaire instrument from 67 respondens, the solution expected to be applied to repair the process and support business expansion.Based on the results of the analysis has been conducted, this study formulates implementation practices proposals with three main objectives: 1. Improve planning process through empowering application of human resources information system;  2. Improve recruitment process through the acceleration of electronic recruitment ; 3. Improved selection process especially in written test and psychological test. Keywords: opening outlets, business performance, new style in planning, recruitment and selection.  
An MSI-Transformed Multiple Linear Regression Model for Early Warning of Seafarers' Safety Compliance in a Maritime IDSS Prototype Fachrudin, Achmad Dhany; Novitasari, Novitasari; Zainuddin, Mochamad; Azhar, Fieranda Firdaus; Santoso, Agus Dwi; Basuki, Nanang
Desimal: Jurnal Matematika Vol. 9 No. 2 (2026): Desimal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/

Abstract

This study developed an MSI-transformed multiple linear regression model to estimate seafarers’ safety compliance from fatigue and occupational stress and implemented the resulting equation in a Python-based Maritime Intelligent Decision Support System prototype. Data were collected from 49 professional seafarers using a five-point Likert questionnaire measuring fatigue, occupational stress, and safety compliance. The ordinal responses were transformed into interval-based scores through the Method of Successive Intervals and analysed using ordinary least-squares regression. The overall model was statistically significant, F(2,46)=4.139, p=0.0222, with R2=0.153. Fatigue produced a negative but non-significant coefficient (β=−0.1020, p=0.489), while occupational stress also showed a negative coefficient (β=−0.2366, p=0.092). Thus, the predictors jointly accounted for a modest proportion of compliance variation, although neither showed an independently significant association at the 5% level. The estimated equation was embedded in the prototype to generate compliance scores and assign preliminary Safe, Alert, and Critical categories. Generative AI was restricted to translating deterministic outputs into concise mitigation narratives and did not calculate scores or determine categories. The study provides a transparent and reproducible workflow integrating ordinal-score transformation, interpretable regression, and computational decision support. The resulting architecture preserves traceability, supports human oversight, and demonstrates an exploratory early-warning framework for maritime safety compliance rather than a validated predictor of accidents or individual unsafe behaviour under current operational assessment conditions.
Co-Authors AGUS DWI SANTOSO Azhar, Fieranda Firdaus Dhany Fachrudin, Achmad Jann Hidajat Tjakraatmadja Novitasari Novitasari Zainuddin, Mochamad