RANCANG BANGUN DATA WAREHOUSE UNTUK ANALISIS KINERJA PENJUALAN PADA INDUSTRI DENGAN MODEL SPA-DW (SALES PERFORMANCE ANALYSIS – DATA WAREHOUSE)STUDI KASUS : PT. SEMEN PADANG

A company, majorly company that active in commercial (profit orientation) need to analyze their sales performance. By analyzing sales performance, company can increase their sales performance. One of method to analyze sales performance is by collecting historical data that relates to sales and then process that data so that produce information that show company sales performance. A data warehouse is a set of data that has characteristic subject oriented, time variant, integrated, and nonvolatile that help company management in processing of decision making. Design of data warehouse is started from collecting data that relate to sales such as product, customer, sales area, sales transaction, etc. After collecting the data, next is data extraction and transformation. Data extraction is a process for selecting data that will be loaded into data warehouse. Data transformation is making some change to the data after extracted to be more consistent. After transformation processing, data are loaded into data warehouse. Data in data warehouse is processed by OLAP (On Line Analytical Processing) to produce information. Information that are produced from data processing by OLAP are chart and query reporting. Chart reporting are sales chart based on cement type, sales chart based on sales area, sales chart based on plant, monthly and yearly sales chart, and chart based on customer feedback. Query reporting are sales based on cement type, sales area, plant and customer. Keywords : Data Warehouse, OLAP, Sales Performance Analysis, Ready Mix Marke

RANCANG BANGUN COMPUTER ASSISTED INSTRUCTION (CAI)SEBAGAI MEDIA PEMBELAJARAN DALAM MATA PELAJARAN FISIKA SEKOLAH MENENGAH ATAS

Strategy of using of Computer Assisted Instruction (CAI) as learning media is needed for solving problems that rise in learning process. Good learning packaging give positive effect in improving human potency. CAI as learning media based on computer microprocessor is built as complement and support learning method that usually use lecturing method, information discussion, and presentation. The goal of this research is design and build interactive learning media CAI by multimedia technology. Result of this research is CAI visualisation by tutorial model and simulation as physics learning media by computer for senior high school students, XI Grade. This research involve a number of 8 teachers and 90 student XI Grade as respondents. Respondents questionnaire result show that 91.11% of students state that CAI product is qualified, 75.11% of students state that material presentation are qualified, 95.11% of students state that CAI program can increase study motivation. Keyword : Computer Assisted Instruction (CAI), Physics, Learning Media, Multimedi

DATA CLUSTERING MENGGUNAKAN METODOLOGI CRISP-DM UNTUK PENGENALAN POLA PROPORSI PELAKSANAAN TRIDHARMA

Quality of human resources faculty can be reflected from the implementation of productivity and quality Tridharma (education, research, community service and supporting field activities). Lecturer Workload and Evaluation of Higher Education Tridharma (BKD and the EPT-PT) aims to ensure the implementation of the faculty task runs according to the criteria set out in legislation. Data clustering Tridharma implementation is needed to get some knowledge of the pattern of Tridharma implementation at college. Clustering as a data mining technique should be scalable, reliable and meet an agreed standard. CRISP-DM is the standardization of data mining is used in this study. The results of data clustering found the pattern of proportion of Tridharma into 3 clusters representing patterns: professionals, managers and teachers. Keywords: Clustering, CRISP-DM, K-Means, Tridharm

PROGNOSIS KERUSAKAN BANTALAN GELINDING DENGAN MENGGUNAKAN METODE SUPPORT VECTOR REGRESSION (SVR)

This research has been performed on the prognosis of rolling bearing damage using by Support Vector Regression (SVR). This research was performed using rolling bearings object as a rolling bearing component capable of making a machine continues to spin or work. Prognosis for rolling bearing damage can optimize maintenance costs because it can determine the remaining life of rolling bearings function before rolling bearing is damaged. Data derived from the extraction of some statistical features of the data trend rolling bearing vibration signal. The resulting feature data used in the process of learning and testing processes with SVR method, as it will result in rolling bearing damage prognosis approaching the ideal value of Root Mean Square Error (RMSE) and Coefisien Correlation (R). The results of this research is RMS feature is a good feature to perform the prognosis. RMSE and R values for RMS feature is close to the ideal value. RMSE values for RMS feature is 0.0129, while the value of R for RMS feature is 0.9709

SISTEM PENILAIAN RISIKO APLIKASI WEB MENGGUNAKAN MODEL DREAD

Application that is developed by web based, beside has surplus in WWW technology, it has susceptibility side that can be threat too. Susceptibility generate risk and can bring out big trouble even effect big disadvantage The goal of this research is design and build document risk assessment system of threat level and prevention advice. It use DREAD model as method to solve trouble by giving qualified information. This information are used to produce risk level in web application. The result of this research is web application risk assessment system by using DREAD model to know risk threat level and equate perception of web threat risk to application developer, minimize of threat risk and maximize performance of web application. Keywords : DREAD model, web threat risk, web risk assessment syste