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FAKTOR-FAKTOR YANG MENENTUKAN PARA MAHASISWA MEMILIH KULIAH DI UNIVERSITAS BUNDA MULIA DENGAN METODE FAKTOR ANALISIS Rudy Santosa Sudirga
Business Management Journal Vol 7, No 2 (2011): Business Management Journal
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.314 KB) | DOI: 10.30813/bmj.v7i2.601

Abstract

Over the last three years the number of students choosing Bunda Mulia University as a university choice has steadily increased. This phenomenon is clearly portrayed from the results of a study that was undertaken to determine factors that influence choices that senior high school students make decision to enter university. This research examines this phenomenon in the context of students’ choice of a university. Results of a survey of students showed that parents, along with other family and friends, were the most influential sources of information. Factor analysis is a precise method to perform this research, since factor analysis will generate factors that demonstrate acceptable internal consistency and describe the important influences in shaping university preferences. The correlations between the factors and Bunda Mulia University as first university choice are in the expected directions of this research and provide evidence for construct validity of the questionnaire. Key Words,Factors, Influence, and Choices. 
SEGMENTASI DAN PERSEPSI MAHASISWA PROGRAM STUDI MANAJEMEN TERHADAP PROSES PEMBELAJARAN UNIVERSITAS BUNDA MULIA DENGAN METODE CLUSTER ANALYSIS Rudy Santosa Sudirga
Business Management Journal Vol 9, No 1 (2013): Business Management Journal
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (9311.839 KB) | DOI: 10.30813/bmj.v9i1.682

Abstract

Although universities are increasingly competing for accepting huge number of students, little has been written about a popular alternative to the lecture-oriented approach to teaching the students at the universities. This paper sees how educational philosophies that underlie lecture and case methods of teaching are related to how faculty perform their teaching to their students. Differences between the underlying world of views of lecture and case methods of teaching similarly lead to differences in many other aspects of the teaching and learning process. The findings of this paper are that each educational philosophy favors a certain instructional methodology, which in turn determine not only the way the instruction is performed but also how faculty perform their teaching, which will be accepted as the most favourable teaching method by the students. These studies investigate the values of students’ perception in accepting the teaching methods as well as the most favourable teaching methods for both qualitative subject and quantitative subject lectures. The way segmentation of the students analyses are performed, reflecting the perception of similarity and difference of the segmentation groups.A new development in segmentation analysis is the cluster analysis method. This method defines segment on the basis of their similarity and difference of response. The K-means cluster analysis algorithm has been a widely applied clustering technique, especially in the area of marketing research. In spite of its popularity and ability to deal with large volumes of data quickly and efficiently, K-means cluster analysis to yield improved performance in terms of solution quality and robustness. Among the algorithms, K-means is one of the most popularly used in the area of marketing research to partition objects into different clusters, due to its ability to deal with large-sized problems that often characterize many marketing research studies. Although K-means is iterative in nature and requires a large amount of computation time to converge, it is more efficient than most other methods in forming clusters, and therefore makes the computational problem more manageable.Key Words: Segmentasi, Persepsi dan Proses Pembelajaran 
FAKTOR-FAKTOR KEPUASAN MAHASISWA SCHOOL OF MARKETING TERHADAP UNIVERSITAS BUNDA MULIA DENGAN METODE FACTOR ANALYSIS Rudy Santosa Sudirga
Business Management Journal Vol 10, No 2 (2014): Business Management Journal
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1270.177 KB) | DOI: 10.30813/bmj.v10i2.630

Abstract

Over the last three years the number of students choosing School of Marketing (SOM) Bunda Mulia University as a university choice has steadily increased. Studies have demonstrated that university preference at the time that students enter university may be significantly associated with their ultimate choice. The main purpose of this research is to examine the role of positive and negative affectivity variables on the relationship between optimism and satisfaction of school of marketing students to the role of bunda mulia university in providing accurate services study programs and student services. Several measurement assumptions were examined with the goal of assessing the program study lectures, validity of services, living environment, university facilities, university library, and general quality of day to day university services. Confirmatory factor an factor mixture analysis of interval data were used to examine the measurement assumptions. A correlated five-factor model for an abridged version of the factor analysis resulted in good fit when all negatively worded items and several positively worded items were excluded. The abridged item version of the factor analysis provides a promising alternative for the measurement of five factors that are pertinent to adolescents’ quality of university sevices either in program study lectures or in quality services to their students. The purpose of this paper is to explore student perceptions of study characteristics of their internships and to explore the relationship between study characteristics and overall satisfaction with their internship experiences. Bunda Mulia University may use this information to enhance the structure and tasks associated to improve university services. This paper also provides a comprehensive look and analysis of study at school of marketing and satisfaction analysis, as they related to satisfaction in an internship environment. In addition, lecturers’ academic qualifications tends to lead to a mismatch between students’ expectations and professional realities, therefore reduces students’ study satisfaction. Primary findings indicate that there is significant cause and effect on the adolescents’ satisfaction with their interpersonal relationships between their life and the virtual world. Social aspects also affect positive organizational outcomes, specifically positive word-of-mouth in society and community.
TIGA JAWABAN PENYELESAIAN OPTIMAL DALAM PROBLEM TRANSPORTASI DENGAN VAM AND MODI METHOD Rudy Santosa Sudirga
Business Management Journal Vol 9, No 2 (2013): Business Management Journal
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3665.517 KB) | DOI: 10.30813/bmj.v9i2.748

Abstract

The famous method to determine and solve transportation problem is the transportation model VAM and MODI method, the Northwest-Corner and Stepping-Stone method, and the Assignment method. We see how to develop an initial aolution to the transportation problem with VAM (Vogel’s Approximation Method) and MODI (Modified Distribution). VAM is not quite as simple as the Northwest Corner approach. But it facilitates a very good initial solution, as a matter of fact, one that is often the optimal solution.VAM method trackles the problem of finding a good initial solution by taking into account the cost the costs associated with each route alternative. This is something that Northwest Corner Rules does not do. To apply VAM, we first compute for each row and column the penalty faced if we should ship over the second-best route instead of the least-cost route. After the initial of VAM solution has been found, you should evaluate it with either the Stepping-Stone method or the MODI method. The MODI (Modified Distribution) method allows us to compute improvement indices quickly for each unused square without drawing all of the closed paths. Because of this, it can often provide considerable time savings over the Stepping-Stone method for solving transportation problems. If there is a negative index indicating an imporovemet can be made, then only one Stepping-Stone path must be found. This is used as it was before to determine what changes should be made to obtain the improved solution.In the Northwest-corner rule, the largest possible allocation is made to the cell in the upper left-hand corner of the tableau, followed by allocations to adjacent feasible celss. While the Stepping-stone method is an interactive technique for moving from an initial feasible solution to an optimal feasible solution, and continues will until the optimal solution is reached. The Stepping-stone path method is used to calculate improvement indices for the empty cells. Improved solutions are developed using a Stepping-stone path.The assignment method, which is simple and faster to solve the transportation problem by reducing the numbers (cost) in the table/tableau until a series of zeros is found, or zero opportunity costs, which mean that we will reach the optimal cost allocations. Once we have reached the optimal cost allocations, we the allocate each sources or supply according to some point of demand (destinations). Assignment Method is a specialized form of optimization linear programming model that attempts to assign limited capacity to various demand points in a way that minimizes costs.The special cases of transportation problem included degeneracy (a condition that occurs when the number of occupied squares in any solution is less than the number of rows plus the number of columns minus 1 in a transportation table), unbalanced problems, and multiple optimal solutions. We will see how the VAM and MODI method may be viewed as a special case of solving the multiple optimal solutions of the transportation problem.Keywords : transportation, VAM and MODI