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Razamin Ramli
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Transportation

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Collaborative-Based Web Recommender System for Homestay Program: A Bridging tool in a Tourism Supply Chain Ramli, Razamin; Miraz, Mahadi Hasan; Ku Mahamud, Ku-Ruhana; Omar, Mohd Faizal; Kayat, Kalsom
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.79 KB)

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Abstract - Homestay Program (HP) initiatives play an important role in Community-based Tourism (CBT), especially for Malaysian tourism industry. HPs offer activities that are catalysts to the community development, focusing those in the rural areas. However, due to technological advancements, promotion and marketing strategy for the unique CBT initiative needs a new and inventive move.  This leads to the proposed technology-based framework for a system as part of the specific CBT supply chain (CBTSC), known as the Collaborative-based Web Recommender (CBWR) system or simply, website. The CBTSC is further intensified to emerge the CBWR sub-supply chain model. As part of the CBWR model, the CBWR website is able to essentially promote the CBT effort of HP worldwide, thus supports community development and livelihood. Keywords - Homestay Program, Collaborative-Based Web Recommender System, Community-Based Tourism Supply Chain, Technology-Based Promotion and Marketing, Rural Community-Based Tourism
ADOPTING AHP IN EVALUATING NURSE SCHEDULING METHODS Razamin Ramli; Adli Mustafa; Ahamad Tajudin Khader
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 4, No 2 (2004)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v4i2.896

Abstract

When comparing and evaluating two or more scheduling methods the need to use a multiple criteria decisionmakingtechnique arises. Instead of just employing a qualitative approach of evaluating the methods, one can integrate thequalitative and the quantitative data in the evaluation process through the use of the analytic hierarchy process (AHP).Hence, this paper reports the evaluation of two nurse scheduling methods where the AHP technique is employed to supportthe selection process of these methods. Five decision criteria are used in the process. The main objective of the schedulingmethods (models) is to assign work shifts and off days of the nurses in a particular hospital unit such that, it fulfils certainspecified constraints while ensuring continuous high-quality patient care services. The first method is a heuristic procedurethat is currently in practice. The other one is a prototype in which a memetic algorithm is adopted in the approach. Theapplication of AHP has been found to provide a better transparency of the capability and efficiency of the schedulingmethods. Consequently, the memetic algorithm approach stands out to be the better one based on the evaluation scheme.
Efficiency and Environmental Awareness of Paddy Farmers: Stochastic Frontier Analysis vs Data Envelopment Analysis Nerda Zura Zaibidi; Md. Azizul Baten; Razamin Ramli; Maznah Mat Kasim
International Journal of Supply Chain Management Vol 7, No 1 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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This study compares the paddy production efficiency and farmers environmental awareness using both stochastic frontier analysis (SFA) and data envelopment analysis (DEA), the primary data collected from paddy farmer organizations known as Pertubuhan Peladang Kawasan (PPK) under Muda Agricultural Development Authority, Kedah, Malaysia. From the results, the coefficients of area and wage are observed significant and positive impact on paddy production while the effect of overall cost, cost on seed and fertilizer are found negative but the cost on fertilizer is recorded significant. The knowledge on environment and contract with agricultural officers are two exogenous factors that has positive significant impact while the education of the farmer factor has a negative significant impact. All the PPKs performance considered is observed on an average but they have the opportunity to increase more than 50% of their production by using same amount of inputs. The performance of Kerpan PPK is found higher than that of other PPKs when the effects of exogenous factors are considered in SFA. The performance of Kubang Pasu PPK is found minimum comparing to the other PPKs using DEA which is observed similar with SFA with exogenous factors. Again, the Kepala Batas PPK is recorded higher relative performance.
A Slack Based Enhanced DEA Model with Undesirable Outputs for Rice Growing Farmers Efficiency Measurement Sahubar Ali Mohamed Nadhar Khan; Razamin Ramli; MD Azizul Baten
International Journal of Supply Chain Management Vol 7, No 1 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

Agricultural production process typically produces two types of outputs which are economic desirable as well as environmentally undesirable outputs (such as greenhouse gas emission, nitrate leaching, effects to human and organisms and water pollution). In efficiency analysis, these undesirable outputs cannot be ignored and need to be included in order to obtain the actual estimation of firms efficiency. There are several approaches that has been proposed in DEA literature to account for undesirable outputs. Many researchers have pointed that directional distance function (DDF) approach is the best as it allows for simultaneous increase in desirable outputs and reduction of undesirable outputs. Additionally, slack based DEA approaches considers the output shortfalls and input excess in determining efficiency. The proposed model uses an enhanced DEA model which is based on DDF approach and incorporates slack based measure to determine efficiency in the presence of undesirable factors. Later the proposed increase in desirable outputs and reduction in undesirable outputs can be found for inefficient farmers. The developed model is used to determine rice farmers efficiency form Kepala Batas, Kedah. The study found 13 out of 30 farmers are CRS efficient and 17 out of 30 farmers are VRS efficient. From the basic DEA model, higher number of efficient farmers are identified due to the fact that the effect of undesirable outputs is not included in the model. Generally, DEA models which considers the effects of undesirable outputs produces more robust results.
Co-Authors Adli Mustafa Ahamad Tajudin Khader Kayat, Kalsom Ku Mahamud, Ku-Ruhana Maznah Mat Kasim MD Azizul Baten Md. Azizul Baten Miraz, Mahadi Hasan Nerda Zura Zaibidi Omar, Mohd Faizal Sahubar Ali Mohamed Nadhar Khan