Jurnal Manajemen & Agribisnis

1-15

Authors: M. Efendi Arianto, Arief Daryanto, Bustanul Arifin, Nunung Nuryartono

The purpose of this study was to gain better understanding on vegetable oils and crude oil relationship. Dynamic relationship among vegetable oils and crude oil is investigated using vector error correction model (VECM). The data is monthly price data from January 1980 to December 2008, consist of price of the most produced vegetable oils, i.e. palm oil, soyabean oil and rapeseed oil. Crude oil price (CPO) was taken into account since biodiesel converted from vegetable oils has become an important alternative of fuel. To get picture of dynamic interrelationship among vegetable oils and crude oil during commodity price soar period, this study was divided into period of investigation, which is period 1980-2003 (before commodity price soar) and period 2004-2008 (during commodity price soar). This study indicates that there is cointegration between vegetable oils and crude oil, and vegetable oils were influenced by crude oil especially in commodity price soar period. Keywords: Vegetable Oil Price, Crude Oil Price, Cointegration, Var, Vecm

27-47

Authors: Suharyono, Musa Hubeis, Setiadi Djohar, Hartoyo

Small and Medium Enterprises (SMEs) and traditional market occupies the largest proportion of the industrial sector and plays an important role in economic development, improvement of social welfare and employment in many countries, especially developing countries (including Indonesia). Based on Structural Equation Modeling (SEM) analysis has found dimensions and the dominant factors that affect real, both as a stimulus (incentive) as well as obstacles in improving business performance from the aspect of profit. Dimensions of the internal corporate environment, particularly organizational resource factors as stimulus organization, increase business performance, while factors on company's external environment dimensions none of which have real impact on business performance. Based on Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis, it is proposed several business development strategies that will productive if implemented simultaneously. These strategies include maintain market share, market expansion and optimize production capacity/sales (S – O Strategies); improve the professionalism of business management, reduce cost, technical development and work systems development (W – O Strategies); improve competitiveness, technology development and range of products merchandises development (S – T Strategies); human resources development, financial management, and partnership networking development (W – T Strategies). Keywords : Small and Medium Enterprises, Traditional Market, Environmental Enterprises, Business Performances, SEM Analysis, SWOT Analysis, Development Strategy

59-69

Authors: Rico Rizal Budidarmo, Marimin, Rina Octaviani, Noer Azam Achsani

The objective of this study is to provide a structured modelling of business intelligence system for helping decision makers in banking IT management to extract external competitive information, to anticipate business environment changes, and to make appropriate and effective business decisions. Using a system perspective where the focus is on the interaction between dependent and independent variables, this study shows how IT management could use neural network to help improve the strategy formulation process. Combined with a business intelligence roadmap, the system has an ability to process internal and external data as well as providing intelligence analysis to determine IT strategy to anticipate competition. Expert system and artificial neural network were used in this competition submodel to predict bank’s transaction cost strategies which gives some priority actions for management to decide the best IT cost strategy such as focus, differentiation, and overall cost leadership. Keywords: Business Intelligence System, Banking Technology Information, Competition, Expert System, Artificial Neural Network