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Agent is one of very important assets for distributors. A better knowledge of the agents and their behavior is required, particularly to support decisions related to the company's business strategy and to manage a better relationship with distributors. Such knowledge can be obtained by classifying agents based on their behavior through historical data, such as the sale and purchase transaction data. One approach that can be done is a segmentation approach can be done by dividing the agents into several segments. In this paper, Data Mining techniques i.e. K-means clustering method is exploredto classify sales agents. By implementing k-means, the knowledge about the best agents can be acquired along with the agents that have least contribution to the distributor.

A corporation makes a choice based on sales forecasts for the next period based on residual inventory from the previous period as well as forecasts of the number of requests in the next period. A forecast is an estimate of future demand based on some predictive characteristic, which is frequently based on time series, historical data. And because these things are unknown, we need the correct way to overcome the uncertainty of future sales in order to avoid issues in sales. The length of the forecast decision-making process is affected by the problems encountered. The fuzzy mamdani approach, also known as the max-min method, is used in this sales prediction procedure to map issues from input to output. Based on the results of the calculations performed in this approach, it may create sales forecasts with the necessary data's accuracy and develop a useful system with an efficient system display that is simple to use.

Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang mempunyai kesamaan karekterisitik sehingga membawa banyak informasi mengenai fitur objek. Adapun tantangan yang dihadapi dalam mendeteksi objek bergerak adalah ketidakmampuan untuk memisahkan objek bergerak dari background objek. Sehingga, pada citra yang dideteksi akan dikelilingi oleh wilayah yang terdapat derau. Pada penelitian ini, diusulkan metode superpixel berbasis deteksi tepi untuk mendeteksi objek bergerak. Selanjutnya, kinerja metode superpixel diuji dengan membandingkan dengan metode deteksi tepi yang berbasis gradient. Hasilnya menunjukkan bahwa metode yang diusulkan mampu meminimalisir derau lebih baik dan hasil perhitungan MSE, RMSE, dan PSNR hanya berbeda 0.06% dan 0.1% dari metode Sobel dan Prewitt. Kata kunci: Deteksi tepi, Objek bergerak, Proses Segmentasi, Superpixel ABSTRACT One part of the image processing is the segmentation which becomes the preprocessing stage for feature extraction. Superpixel becomes solutions in the segmentation process by defining a collection of pixels that have the same characteristics ang bringing the information about the object's features. The challenge faced in detecting moving objects is the inability to separate moving objects from the object's background. Thus, the detected image will be surrounded by an area with noise. In this study, a superpixel-based edge detection method is proposed to detect moving objects. Furthermore, the performance of the superpixel method is tested by comparing it to the gradient-based edge detection method. The results show that the proposed method is able to minimize noise better and the results of MSE, RMSE, and PSNR calculations differ only 0.06% and 0.1% from the Sobel and Prewitt methods. Keywords: Edge detection, Moving objects, Segmentation, Superpixels

This study aims to determine the level of capability of using E-Learning at Universal University. In this study, the measurement of capability level uses the COBIT 5 framework which is devoted to the DSS05 (Manage Security Services) process. The data from this study were obtained from observations and interviews. The results show that the capability level in the DSS05 (Manage Security Services) process reached level 1 with a rating level of Largely achieved (57.8%). After knowing the level of capability at the E-Learning level,recommendations for improvement are made based on the acquisition of each value. The recommendations for improvement are the creation of SOPs related to E-Learning security at Universal University, the establishment of information technology asset inventory management, and the procurement of intrusion detection tools.

Vegetarian food is one solution for people to start living healthy. Today there are still many unhealthy foods circulating and consumed continuously by the Indonesian people, especially the city of Batam. This is due to the difficulty of people getting healthy food without chemicals that harm the body. People really want a healthy life in an easy and inexpensive way. The development of android technology on smartphones is very possible to realize healthy people's lives easily and cheaply. Android technology will also be an important point in helping to get healthy vegetarian food without having to shop out of the house. Public trust is also a concern in this study. With the COD (Cash On Delivery) method, it is expected that vege applications can increase public confidence in buying vegetarian food. This method has been widely used by other major sales applications in Indonesia and has been proven successful in adding application users. The growth in the number of very fast couriers in Indonesia can help the system used by the Vege application. Users can anytime order vegetarian food on an Android smartphone without having to get out of the house just to find healthy food. Couriers will deliver directly to the user's residence and pay as many orders to the courier. This system is expected to help reduce the number of undernourished communities that continue to increase in Indonesia.

Perancangan aplikasi fuzzy dengan metode mamdani pada Pabrik Coklat Chokato bertujuan untuk memprediksi produksi barang pada periode selanjutnya dan dengan biaya yang minimal, ini dimaksudkan agar nantinya pihak perusahaan dalam aktifitas produksi coklat dapat meminimalkan kesenjangan antara angka produksi dan tingkat penjualan sehingga tercapai suatu kestabilan produksi. Perancangan aplikasi fuzzy untuk memprediksi produksi barang berbasis web ini dibuat dengan dengan menggunakan PHP dan MYSQL sebagai database. Dengan adanya aplikasi ini diharapkan dapat dipergunakan untuk memprediksi produksi barang untuk periode selanjutnya yang disajikan dalam sebuah aplikasi berbasis web