Pengelolaan Rantai Pasok dan Daya Saing Kelapa Sawit di Aceh

Nowadays, supply chain management is vital for palm oil plantations, along with the increases of competitive efforts and equal partnership position between suppliers and processors. The research aimed at mapping supply chain patterns of palm oil plantation, at analyzing performances of palm oil stakeholders, and at analyzing factors influencing performances of stakeholders in the province. The research was conducted using survey method by interviewing and focus group discussion. The results showed that (1) there were 3 supply chains flows from bunches of palm fruit to plants of palm fruit processing; (2) roles of stakeholders in supply chain management determining supply volumes, profits, and value added; and (3) factors influencing performances of stakeholders and competitive advantages were plantation productivity, cost allocation for invesment and operation, capacity of processing plants, and CPO rendemen rate

Forward Modeling Metode Magnetik

<p>Forward modeling adalah salah satu metode yang digunakan untuk menggambarkan bentuk di bawah permukaan bumi. Metode ini memanfaatkan bentuk sederhana (simple geometry) untuk menentukan perhitungan yang diperlukan untuk mendekati bentuk bawah permukaan bumi. Proyek pemograman ini menganalogikan bentuk anomaly dyke, slope, dan resevoir dengan bentuk yang sederhana seperti kotak, dan jajaran genjan. Dalam aplikasinya secara kasar seperti mencocokkan data magnetik yang didapat dari lapangan dengan data yang didapat dari forward modeling yang dibentuk, dengan seperti itu akan diketahui model mana yang mendekati data lapangan tersebut. tetapi pembaca juga harus tahu bahwa metode ini hanya pendekatan. Jadi harus dikombinasikan dengan pendekatan metode geofisika yang lain agar model yang didapat lebih akurat.</p

A review of the formulation and application of the spatial equilibrium models to analyze policy

This paper reviews alternative market equilibrium models for policy analysis. The origin of spatial equilibrium models and their application to wood and wood-processing industries are described. Three mathematical programming models commonly applied to solve spatial problems - namely linear programming, non-linear programming and mixed complementary programming - are reviewed in terms of forms of objective functions and constraint equalities and inequalities. These programming are illustrated with numerical examples. Linear programming is only applied in transportation problems to solve quantities transported between regions when quantities supplied and demanded in each region are already known. It is argued that linear programming can be applied in broader context to transportation problems where supply and demand quantities are unknown and are linear. In this context, linear programming is seen as a more convenient method for modelers because it has a simpler objective function and does not require as strict conditions, for instance the equal numbers of variables and equations required in mixed complementary programming. Finally, some critical insights are provided on the interpretation of optimal solutions generated by solving spatial equilibrium models