Sistem Informasi Eksekutif Untuk Perencanaan Pengembangan Agroindustri Susu.
Abstract
Milk is a strategic commodity consumed by Indonesian citizens from toddlers until old one. However, in reality milk production in Indonesia is very low and could not fulfill existing demand. Governments have imported this commodity in a huge amount, of about 70% of milk required in Indonesia. An integrated system is required to help users, particularly business executives in the field of agroindustry milk. The purpose is to provide useful information as consideration source and reference for them to study or investigate the planning and decision for development, executives will be able to make decision quickly, precisely, and accurately. The scope of this research is in West Java and its districts, as the center of the milk business. In addition, the scope for commodities discusses including cheese, butter, yoghurt, fresh milk, and powder milk. This research methodology consisted of three steps, were analyzing, designing/prototyping used a function directional decomposition (DFD/Data Flow Diagram), and prototyping system consisting of design, implementation, and verification system. Executive information system (EIS) contains are critical success factor needed to identify the needs of executive, drill down capability that can provide detailed information of the displayed summary, and graphical user interface that displays the interface in the form of graphs. This work was called as Exemil 1.0 which had six informations reviewed, consisted of farming/livestock, marketing, production-consumption, production planning, location development, and financial feasibility information. The development of GUI consisted of two types of graph that appeared in the monitoring report Exemil 1.0, were the shape of a bar graph that displayed threedimensional development of agroindustry and speedometer which showed the percentage growth rate agroindustry milk. The result is conducted to see an appropriate output with a comparison tool. One of verification is carried out on PPIC subsystem. From these data, obtained output forecast demand. Output generated by Microsoft Excel 2007 by using the five methods of time series are single moving average: 610750 kg, double moving average: 621687 kg, single exponential smoothing: 612281 kg, Brown’s method: 613651 kg, and Holt’s method: 588708 kg. While the output generated by Exemil 1.0 was 610750 kg. The result was the same with one of the techniques using Excel 2007. For implementation purposes, Exemil 1.0 is an integrated system of milkbased agroindustry in West Java that allows executives to make decision easier, but still needed