Articles
FAKTOR – FAKTOR YANG MENENTUKAN PENINGKATAN BISNIS RITEL DI INDONESIA
Rudy Santosa Sudirga
Journal of Business & Applied Management Vol 10, No 2 (2017)
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/jbam.v10i02.933
Penelitian dengan metode analisis faktor ini didasarkan pada faktor-faktor: peningkatan produk konsumenrumah tangga, peningkatan produk konsumen makanan dan minuman, peningkatan produk konsumenelektronik, peningkatan populasi Indonesia, peningkatan toko ritel di Indonesia. Faktor yang palingdominan bagi peningkatan bisnis ritel di Indonesia adalah faktor peningkatan belanja produk konsumenmakanan dan minuman dengan tingkat pertumbuhan tahunan gabungan sebesar 10,5% pada tahun 2016 -2020. Faktor kedua bagi peningkatan bisnis ritel di Indonesia adalah faktor peningkatan belanja produkkonsumen elektronik dengan tingkat pertumbuhan sebesar 9,7% pada tahun 2016 - 2020. Faktor ketigabagi peningkatan bisnis ritel di Indonesia adalah peningkatan populasi Indonesia dengan pertumbuhan1,3% setiap tahun.Kata kunci: produk makanan - minuman, elektronik, populasi Indonesia
SIMULASI WAKTU TUNGGU MAHASISWA DAN DOSEN DI LAYANAN AKADEMIK UNIVERSITAS BUNDA MULIA
Rudy Santosa Sudirga
Journal of Business & Applied Management Vol 10, No 1 (2017)
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/jbam.v10i1.866
The Management of Academic Service continues to be a major challenge for many college, high school and college organizations in providing better services with fewer resources. The allocation of service staffs and response-time in service involve many challenging issues, because the mean and variance of the response-time in service can be increased dramatically with the intensity of heavy traffic. This study discusses how to use simulation models to improve response time in service operation. Performance at the Academic Service as a whole can be considered very good and is still idle due to utilization of Academic Service, which is still equal to an average of 17%, or it can be said that the workload is not too excessive and deemed to be able to serve the students and lecturers. The performance of Academic Sevice University Bunda Mulia can be considered excellent in terms of operations management, as indicated by the average waiting time, which is very short at only 9.10 seconds.Keywords: Queueing System, Waiting Time, and Simulation
FAKTOR KEPERCAYAAN, GETOK TULAR, KUALITAS YANG DIPERSEPSI, KESADARAN MEREK SISWA SMA JAKARTA TERHADAP UNIVERSITAS XXX
Rudy Santosa Sudirga
Journal of Business & Applied Management Vol 9, No 2 (2016)
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/jbam.v9i2.863
Evaluation factors which include trust, word of mouth, perceived quality, and brand awareness areimportant in determining senior high school students‟ choice to study at University XXX. The researchaims at identifing factors that are most important and interesting for the senior high school students inmaking their choice. A stratified random sampling of 400 senior high school students were employedto evaluate the evaluation of factors. In addition this sudy also aims to determine why senior highschool students are interested in choosing University XXX. The Long term goal of this study is todetermine whether changes need to be made and alterations have to be decided both in policyregarding the effectiveness of academic factors or other factors. In addition it will also look at theeffectiveness measures of the academic promotion factor. For the marketing of University XXX, thisresearch contributes in determining the strategy and other relevant factors to recruit more senior highschool students to join University XXX.Keywords: Trust, Word of Mouth, Perceived Quality
Seasonal Inventory Decisions (Single-Period Inventory Models)
Rudy Santosa Sudirga
Journal of Business & Applied Management Vol 8, No 2 (2015)
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/jbam.v8i2.848
One of the dilemmas facing many retailers is how to handle seasonal goods, such as sarung dress or batik dress, biscuits and syrups during Idul Fitri celebration. Often they cannot be sold at full markup next year because of changes in styles, and expiry dates for foods and beverages. Furthermore, the lead time can be longer than the selling season, allowing no second chance to rush through another order to cover unexpectedly high demand. At the end of the period the product has either sold out or there is a surplus of unsold items to sell for a salvage value. The single-period inventory models are used in situations involving seasonal or perishable items that cannot be carried in inventory and sold in future periods.This type of situation is often called the newsboy problem. If the newspaper seller does not buy enough newspapers to resell on the street corner, sales opportunities are lost. If the seller buys too many newspapers, the overage cannot be sold because nobody wants yesterday’s newspaper.At this opportunity, we will use the single-period inventory models decisions to create an optimal order quantity decision with the highest expected payoff. We will be able to use this decision process for all such items over many selling seasons to maximize profits.However, it is not a foolproof, and it can result in an occasional bad outcome. It will depend on the situation, if the probability of demand follows the demand probability planning, then you will be able to get the best decision to prepare and execute an order.Kata kunci:Seasonal Inventory, Single-Period Inventory Models, Probability of Demand.
PEMECAHAN MASALAH NONLINEAR PROGRAMMING DENGAN LAGRANGEAN METHOD MENGGUNAKAN SUBSTITUTION METHOD ATAU MICROSOFT EXCEL
Rudy Santosa Sudirga
Business Management Journal Vol 4, No 2 (2008): Business Management Journal
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/bmj.v4i2.668
Lagrange Multipliers are a mathematical tool for constrained optimization of differentiable functions. The given procedure defines the Lagrangean Method for identifying the stationary points of optimization problems with equality constraints; L (ℷ, X) = f(X) – ℷg(X – C). This function is called the Lagrangean function and the parameters ℷ is the Lagrange Multipliers. The partial derivatives of this equation ∂L/∂ℷ = 0 and ∂L/∂X = 0 will give the optimal result for X.However, in some cases, sometimes we have been facing some difficulties to solve nonlinear programming problem with this method, therefore we would like to introduce the Substitution Method or Microsoft Excel Method, which is simple, easier and faster to solve the nonlinear programming problem. Because of the mathematical nature of nonlinear programming models, and in management science we do not have a single general technique to solve all mathematical models that can arise in practice, therefore simpler approaches should be explored first. In some cases, a “common sense” solution may be reached through simple observations.
DUA HASIL OPTIMAL DALAM PENYELESAIAN PERSOALAN TRANSPORTASI DENGAN ASSIGNMENT METHOD, VAM AND MODI, NORTHWEST CORNER AND STEPPING-STONE
Rudy Santosa Sudirga
Business Management Journal Vol 8, No 1 (2012): Business Management Journal
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/bmj.v8i1.617
The famous method to determine and solve transportation problem is the transportation model and the assignment model. We see how to develop an initial solution to the transportation problem with VAM (Vogel’s Approximation Method) and MODI (Modified Distribution) and Northwest Corner rule and the Stepping-Stone method. 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. 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 means that we will reach the optimal cost allocations. Once we have reached the optimal cost allocations, we then allocate each sources or supply according to some points 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. At this opportunity, we would like to demonstrate the multiple optimal solutions. We will see how the Assignment method may be viewed as a special case of solving the transportation problem. Keywords : Assignment method, VAM and MODI, Northwest Corner and Stepping-Stone.
BRAND POSITIONING DAN PERCEPTUAL MAPPING UNIVERSITAS BUNDA MULIA, ATMA JAYA, BINUS, IBII, DAN UNTAR DENGAN METODE DISCRIMINANT ANALYSIS
Rudy Santosa Sudirga
Business Management Journal Vol 8, No 2 (2012): Business Management Journal
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/bmj.v8i2.702
Although universities are increasingly competing for accepting huge number of students, little has been written about the influence of cultural values on the brand positioning of university education brands. This study investigates the values of brand positioning for some private university education, and the factors teh students use to gain information about universities. The purpose of this paper is to present a call to action for universities to practice what they preach in developing and communicating differentiated brands. The paper reviews some recent literature on university brand positioning strategy. Universities marketing manager should seek to clearly differentiate their offering from the competition. The large amounts of expenditure on university marketing would be more efficiently used if the principles of brand management taught within them were applied properly. The public perception of a university’s programs is often considered a primay factor in building the brand positioning of the respevtive institution. Maintaining a favorable brand positioning can have a significant impact when recruiting potential students, when soliciting corporate partners, and when facilitating development opportunities with alumni and key stakeholders. This study also aims to discuss how the attributes of university brands influence consumers’ evaluations of brand positioning and the differences and competition among brands. A perceptual map, developed using probabilistic discriminant analysis algorithms, depicts the relative position of each brand and illustrates their attractive properties.This statistical techniques can enhance managers’ ability to identify promising brand positions and enhance the overall brand positioning design process. A brand’s positioning is designed to develop a sustainable competitive advantage on product attribute (s) in the consumer’s mind. Brand positioning has been defined as the act of designing the image of the firm’s offering so that target customers understand and appreciate what the product stands for in relation to its competitors. Each brand within a set of competitive offerings is thought of as occupying a certain position in a customer’s “perceptual space”. Perceptual mapping refers generally to techniques used to represent and evaluate a brand’s positioning.Key Words- Brand Positioning, Perceptual Mapping, Universities
ANALISA KEPUASAN PELANGGAN UNTUK MENINGKATKAN PELAYANAN DI UNIVERSITAS BUNDA MULIA
Rudy Santosa Sudirga
Business Management Journal Vol 5, No 2 (2009): Business Management Journal
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/bmj.v5i2.744
The purpose of the research is to integrate relevant literature theory and develop a comprehensive research model of service quality to procure customer satisfaction. In this research, we present a holistic systems approach that utilizes total quality management decision in a seamless fashion to improve satisfaction and perception related to the service provided by Universitas Bunda Mulia to the students, students parents, other universities movement students, and other students. At the same time, other university departments’ important objectives, such as the implementation of an ongoing in-house procedure that supports its continuous improvement program, are taken into account. In this research, results that document the improved service quality system performance to procure customer satisfaction are further tested for their reliability and validity. Therefore, the result will be the proper and true relationship between customer satisfaction and perceived service quality that could be used either for Universitas Bunda Mulia or other universities and eduction institutions. Conceptual and managerial implications of the findings should be further discussed by Universitas Bunda Mulia to procure and achieve a much better performance in the next coming years.Key Words- Customer, Satisfaction, and Quality
ANALISA WAKTU TUNGGU DI LAYANAN ADMINISTRASI AKADEMIK UNIVERSITAS BUNDA MULIA DENGAN METODE SIMULASI
Rudy Santosa Sudirga
Business Management Journal Vol 6, No 1 (2010): Business Management Journal
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/bmj.v6i1.605
Academic Administration Service management continues to be a major challenge for many Universities or school organizations as Universities are required to provide more services with less resources. Short response times for service are essential to avoid disruptions to University’s day to day activities or Academic Administration Service’s facilities. Managers must regularly assess their manpower needs, and ensure that their allocations and operational decisions lead to the best service at the lowest cost. Service staff allocation and response-time in service involves many challenging problems, because the mean and variance of the response-time in service can increase dramatically with traffic intensity, consequently the design for this system has to be able to cope with this complication. This experiment discusses how to use simulation model to improve response-time in service operations. Simulation experiments for analyzing the steady-state behavior of queuing systems over a range of traffic intensities are considered the best method of solution. The technique of simulation consists of taking random samples from the probability distribution which represents the real-world system. In this research the effects of dependent departure intervals on waiting times are examined for a one-station queuing system, and inter-arrival times are compared to a computer-simulated inter-arrival times having dependent arrivals. Significant differences in service times are found due to the mean and variance of the service times.The purpose of this research is to propose a new dynamic-server queuing model to increase system efficiency and customer satisfaction compared with the current practice. Key Words,Interarrival Time, Service Time, and Simulation.
PERBANDINGAN PEMECAHAN MASALAH TRANSPORTASI ANTARA METODE NORTHWEST-CORNER RULE DAN STEPPING-STONE METHOD DENGAN ASSIGNMENT METHOD
Rudy Santosa Sudirga
Business Management Journal Vol 5, No 1 (2009): Business Management Journal
Publisher : Universitas Bunda Mulia
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DOI: 10.30813/bmj.v5i1.661
The famous methods to determine and solve transportation problem are the Northwest-corner rule/method and the Stepping-stone Method. In the Northwest-Corner Rule, the largest possible allocation is made to the cell in the upper left-hand corner of the tableau, followerd by allocations to adjacent feasible cells; while the Stepping-Stone Method is an iterative technique for moving from an initial feasible solution to an optimum feasible solution which continues untul the optimum solution is reached. However, inn some cases, sometimes we have been facing some difficulties to solve transportation problem with these two methods, therefore we intoduce the Assignment Method, which is simpler and faster in solving the transportation problem by reducing the numbers (cost) in the table/tableau until a series of zeros is found, or zero opportunity costs, which means that will reach the optimum cost allocations. Once reach the optimum cost allocations, the next step is to allocate each source or supply according to some points of demand (destinations). Assignment Method is a specialized form of optimization linear programming model that attempts to assign limited capacitiy to various demand points in a way that minimizes costs.Keywords :assignment method, linear programming, lowest opportunity cost, minimize time required