The right decision in placing employees in an appropriate position in a company will support the quality of management and will have an impact on improving the quality of human resources of the company. Such decision-making can be assisted by an approach through the Decision Support System (DSS) to improve accuracy in the employee placement process. The purpose of this paper is to compare the four methods of Multi Criteria Decision Making (MCDM), ie Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Of Evaluations (PROMETHEE) for the application of employee placement in accordance with predetermined criteria. The ranking results and the accuracy level obtained from each method are different depending on the different scaling and weighting processes in each method.

Decision Support System is a computer program application that analyzes data and presents it so that users can make decision more easily. Determining Scholarship Selection study case in Senior High School in east Java wasn't easy. It needed application to solve the problem, to improve the accuracy of targets for prospective beneficiaries of poor students and to speed up the screening process. This research will build system uses the method of Analytical Hierarchy Process (AHP) is a method that solves a complex and unstructured problem into its group, organizes the groups into a hierarchical order, inputs numerical values instead of human perception in comparing relative and ultimately with a synthesis determined elements that have the highest priority. The accuracy system for this research is 90%.

There are three level maturity of cocoa namely mature, medium and raw. Nowadays for identification the process quality of maturity by manually, allowing errors to occur and take a time. So technology is needed to help identify cocoa maturity. One technology that can be used is digital image processing techniques by utilizing several techniques such as image segmentation and color extraction which aims to improve image quality. The process of identifying the quality of cocoa maturity using the K-Nearest Neighbor method (KNN). KNN is a method uses a supervised algorithm that stores all available cases and classifies new cases based on a similarity measure. The purpose of this algorithm is to identify new objects based on attributes and training data. The accuracy of this application is 100%.

Water has always been an important part of human life, in the context of the global environment, water management and conservation is the focus because it impacts on human survival in a fundamental way. Current condition of the Kalibaru River Basin: (a) water use for agriculture, plantation and community needs is increasingly increasing, (b) unstable availability of water, (c) excessive utilization that does not pay attention to carrying capacity, (d) potentially for erosion and (e) high sources of water pollution that affect the quality of raw materials of drinking water, ecosystem, economy and human health and social security. This study aims to develop a system consisting of hardware and software capable of monitoring the quality of watersheds, in this research used Kalibaru's Watershed. This monitoring can be used by relevant agencies to conduct studies or even make policies related to quality watershed care.