Determination of reorder point aims to meet the safety stock. This is a central parameter of inventory control. This study aims to find reorder point based on goods classification and safe stock. This approach is implemented in retail information systems that have been running. The information system has about 15.000 active items with the number of sales transactions around 1.100 per day. The problem in determining the reorder point is the unavailability of the safe stock reference. Lack of safe stock information triggered the ordering goods error. This error causes over stock. It can increase the potential of expired goods. In this study the researcher classifies the goods and determines the amount of safe stock to control the inventory. We used ABC analysis method for goods classification. It divides the group of goods into A, B, C, and D. The amount of safe stock is determined based on the goods sale’s history using Min Max Analysis method. Classification result is used to determine the limits on the inventory of allowed items to be ordered. Limitation safety stock amount refers to the limits from the min max method result. While, testing is done by comparing cost before and after implementation of this method.
Employee assessment is needed in evaluating performance and granting rewards to employees. PT. Kupu-Kupu Taman Lestari conducts an employee performance appraisal using Microsoft Excel. The growth of employee data and assessment variables resulted in the calculation method that was carried out could not provide employee ranking information quickly. The application of Microsoft Excel in processing employee valuation data has weaknesses in data documentation. The purpose of this study is the company has a website-based decision support system that makes it easy for companies to get employee performance appraisal information. The employee performance data ranking method used is the Analytical Network Process (ANP) and the performance evaluation criteria are prepared based on the Behaviorally Anchor Rating Scale (BARS) approach. BARS is used in determining criteria along with a scale of behavior that represents the performance of each criterion. ANP is used to process data of importance between criteria so that it can produce criteria weights based on a comparison between criteria. The results of this study are website-based decision support systems that can be accessed by company management via a web browser. System testing is built based on testing manual calculations with the system and testing the user's system according to the McCall model. The system calculation test shows that the system has produced the same calculation value as the manual calculation. System user testing shows that the system built meets user needs, displays information according to user input correctly, is safe from unauthorized parties, and the system is easy to use.
Paper ini mengusulkan contrast stretching sebagai perbaikan kualitas citra untuk meningkatkan hasil segmentasi pada proses segmentasi video. Data video yang digunakan merupakan video pemantauan aktifitas pergerakan garis pantai. Frame dari video yang digunakan memiliki komposisi cahaya matahari berbeda-beda sesuai dengan waktu akuisisi data. Dibutuhkan suatu teknik untuk mengatasi pengaruh cahaya matahari pada frame video. Contrast stretching diimplementasikan untuk memperbaiki nilai kontras pada frame sehingga obyek pada frame terlihat jelas. Dengan obyek yang terlihat jelas pada frame dapat meningkatkan hasil dari proses segmentasi. Pengujian implementasi contrast stretching sebagai preprocessing pada proses segmentasi dilakukan dengan metode silhouette coefficient. Implementasi contrast stretching sebagai preprocessing dalam segmentasi citra dapat menghasilkan segmentasi lebih baik dibandingkan tanpa preprocessing. Hal tersebut dinyatakan berdasarkan nilai silhouette width dari masing-masing hasil segmentasi citra.
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