Pengukuran prestasi pemaju perumahan berdasarkan sistem star rating

Pengukuran prestasi pemaju perumahan adalah sangat penting baik kepada pemaju perumahan mahupun kepada pembeli rumah. Selain daripada dapat menjana keuntungan kepada pemaju perumahan, maklumat pengukuran prestasi pemaju perumahan juga boleh dijadikan sebagai asas untuk menyediakan perkhidmatan terbaik kepada pembeli rumah. Di Malaysia, terdapat banyak aduan yang diterima daripada pembeli rumah berhubung kualiti produk perumahan dan perkhidmatan yang disampaikan oleh pemaju perumahan. Walau bagaimanapun, penyelidikan mengenai pengukuran prestasi pemaju perumahan dalam konteks kepuasan pembeli rumah belum pernah dilaksanakan. Oleh itu, penyelidikan untuk membangunkan Model Pengukuran Prestasi Pemaju Perumahan berdasarkan kepuasan pembeli rumah adalah amat penting untuk dilaksanakan. Dalam penyelidikan ini, Sistem Star Rating telah digunakan untuk membangunkan Model Pengukuran Prestasi Pemaju Perumahan berdasarkan kepuasan pembeli rumah daripada aspek rekabentuk rumah, pelengkapan rumah dan perkhidmatan. Borang kaji selidik telah diedarkan kepada 400 pembeli rumah di Johor Bahru bagi tujuan mengenal pasti tahap kepuasan mereka terhadap pemaju perumahan. Kajian ini mendedahkan bahawa tahap kepuasan pembeli rumah terhadap pemaju perumahan di Johor Bahru adalah pada tahap sederhana. Selain itu, kajian ini juga menunjukkan bahawa pemaju perumahan dapat menggunakan model ini sebagai panduan untuk meningkatkan produk dan perkhidmatan mereka. Sebagai kesimpulan, Model Pengukuran Prestasi Pemaju Perumahan berdasarkan Sistem Star Rating adalah amat signifikan kerana ia berupaya memberi panduan kepada pihak-pihak yang tertentu. Pertama, pembeli rumah dapat menggunakannya untuk memilih pemaju yang tepat. Kedua, pemaju perumahan dapat menggunakannya sebagai panduan untuk meningkatkan produk dan perkhidmatan. Manakala, yang terakhir, pemegang kepentingan seperti institusi kewangan dapat menggunakannya sebagai panduan dalam membuat keputusan penyediaan dana bagi menyokong projek perumahan

Fuzzy multi criteria evaluation for performance of bus companies

A multi criteria decision making in ranking the bus companies using fuzzy rule is proposed. The proposed method uses the application of fuzzy sets and approximate reasoning in deciding the ranking of the performance of several bus companies. The proposed method introduces data normalization using similarity function which dampens extreme values that exist in the data. The use of the model is suitable in evaluating situation that involves subjectivity, vagueness and imprecise information. Experimental results are comparable to several previous methods

Fuzzy subjective evaluation of Asia Pacific airport services

This paper presents a fuzzy decision-making model to determine the ranking of fourteen Asia Pacific airports based on the services provided to passengers. Airport services were represented by six attributes namely comfort, processing time, convenience, courtesy of staff, information visibility and security. Data for the attributes given by travel experts are in the triangular fuzzy number form. Based on fuzzy set and approximate reasoning, the model allows decision makers to make the best choice in accordance with human thinking and reasoning processes.The use of fuzzy rules which are extracted directly from the input data in making evaluation, contributes to a better decision and is less dependent on experts.Experimental results show that the proposed model is comparable to previous studies.The model is suitable for various fuzzy environments

Knowledge acquisition and dissemination for emergency situation

Emergency situation is highly uncertain, dynamic, time pressure in making decisions and involves multi organizations and multi jurisdiction level. This paper presents a conceptual architecture that can be used by emergency response task force in assisting the victims of the disaster. Flood disaster is used as a case study. The architecture describes the knowledge and communication for flood emergency response management

Spatial variability of soil hydraulic properties at Universiti Teknologi Petronas (UTP)

Spatial variability of soil hydraulics is a study of determining representative infiltration rate parameters for use in modeling infiltration characteristics of soil under tropical climate in terms of geostatistical analysis. This study deals with the spatial variability of soil hydraulics properties at University Teknologi Petronas (UTP) campus area. The proposed project allowed understanding and characterization of small scale spatial variability nature of infiltration characteristics of tropical soil in the UTP campus area. The aim of the study is to evaluate the variation in soil hydraulic characteristics around the UTP campus area by performing the double ring infiltrometer and make a comparison of infiltration rate for each location. Horton's infiltration equation was calibrated with the data of 50 infiltration tests performed in different locations. This allowed arriving at a generalized for of Horton's infiltration equation for the UTP campus area. Variation in soil hydraulic characteristics and determining field scale flow processes are difficult because of the spatial variability of soil properties. Methodology of this modeling the spatial variability nature of infiltration characteristics at UTP campus area includes three parts which are determination of geogrid locations, field data experiments and computer analysis. The statistical parameters from the infiltration tests will be presented in statistical and geostatistical analysis

APPLYING HYDRAULIC FRACTURING IN EXTENDING PERFORATION LENGTH

"Applying Hydraulic Fracturing In Extending Perforation Length" is a final year project which consist of two parts, gather relevant literature data and simulate pressure transient. The main outcome is to evaluate the hydraulic fracturing treatment effectiveness in extending perforation penetration. The core of this project is simulation using pressure and production rate history in order to obtain reservoir data before and after hydraulic fracturing. The author has divided Final Year Project I (FYP I) into two phases namely, (1) Write literature review on the project, (2) Gather raw data on real case study continuously for the whole FYP 1. In Final Year Project 2 (FYP 2), it is the continuous from FYP 1 and focusing on full analysis of pressure and production rate data from real well. Kappa Saphir Well Test Software is the main tool for this project. Analysis can be performing after run the pressure and production data in the software. Firstly is analysis on the well test job sequence. During this part, the author will separate the fluctuation of plotted pressure data history accordingly to operation or job done following the time period. Thus, the author can know the response of the pressure towards the job done by engineer. Second, the author does the analysis on pressure transient. In this period, selected reservoir model and type curve will try to be match with the plotted pressure. As the model match, the well properties can be estimated. The analysis will be performing on pressure and production data before and after hydraulic fracturing treatment. For the last part, the author will evaluate the effectiveness of hydraulic fracturing. After gone through with this project, the author conclude that hydraulic fracturing can increase the production from a reservoir and perforation length as well as reservoir properties are changing after performed hydraulic fracturing

Performance modeling of e-procurement workflow using Generalised Stochastic Petri net (GSPN)

This paper proposes a Generalised Stochastic Petri net (GSPN) model representing a generic e-procurement workflow process. The model displays the dynamic behaviour of the system and shows the inter relationship of process activities. An analysis based on matrix equation approach enabled users to analyse the critical system's states, and thus justify the process performance. The results obtained allow users for better decision making in improving e-procurement workflow performance

The Effect Of Chemical Treatment On The Pulp And Paper Properties Of Banana (Musa Sp.) Stem And Its Effect On Blending With Secondary Fibers

Batang pisang (Musa sp.) dikaji untuk digunakan sebagai alternatif bagi menggantikan kayu untuk pengeluaran pulpa dan kertas. Pemulpaan separa kimia batang pisang melibatkan tiga pembolehubah pemulpaan (suhu: 30-90 °C, masa: 25- 75 min, kepekatan alkali: 5-15%) dalam rawatan kimia. Banana (Musa sp.) stem is studied to be used as the alternative to replace wood for the production of pulp and paper. Semichemical pulping of banana stem involved three pulping variables (temperature: 30–90°C, time: 25-75 min, alkali concentration: 5-15%) in chemical treatment

Big data clustering using grid computing and ant-based algorithm

Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum.Scientific and business organizations would benefit from utilizing big data. However, there are many challenges in dealing with big data such as storage, transfer, management and manipulation of big data.Many techniques are required to explore the hidden pattern inside the big data which have limitations in terms of hardware and software implementation. This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm