Henri Pandiangan
STMIK Pelia Nusantara Medan, ID SCOPUS: 57053407600

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APPLICATION OF THE K-MEANS ALGORITHM IN PRODUCT CLASSIFICATION Henri Pandiangan
Jurnal Mantik Penusa Vol. 1 No. 1 (2017): Volume 1 No 1 Juli 2017 (Online) Jurnal Mantik
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

In general, stores only use the data as limited to report makers. Data collected and stored sales transactions can provide useful knowledge for company management in carrying out businesses related to increased sales, for example in determining marketing strategies and to support decisions for the company. Consumers who shop at the store usually have a reason why they choose to shop at the store instead of the traditional market. Because stores can provide what they want such as comfort, cleanliness, speed and neatness of the product. Application of marketbasketanalysis techniques in the design of product layouts in stores has been carried out by several researchers, including association rule methods using Apriori algorithms to create a product placement decision support system in the shop market. & the size of the K-Means Algorithm framework has also been used to group expressigen data.
OPTIMIZATION ANALYSIS OF WOOD TRANSPORTATION COST USING STEPPING STONE METHOD Henri Pandiangan
Jurnal Mantik Penusa Vol. 1 No. 2 (2017): Jurnal Mantik Penusa
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Implementation is an action or implementation of a plan that has been prepared carefully and in detail. Implementation is usually done after planning has been considered a fix. Cost optimization is an effort made to obtain a better final result, or it can be an attempt to obtain a smaller expenditure / effort to minimize expenses and obtain maximum profits. Method of transportation or often called stepping stone is the method used to manage distribution from sources that provide the same products in places that need them optimally. The allocation of these products must be arranged in such a way because there are differences in transportation costs (allocations) from one source to several different destinations - and from several sources to a different destination
IMPLEMENTATION OF GEOMETRIC MEAN FILTER METHOD FOR IMPROVING WITH NOISE REDUCTION IN DIGITAL IMAGE Henri Pandiangan
Jurnal Mantik Penusa Vol. 2 No. 1 (2018): Manajemen dan Informatika Komputer
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Image plays a very important role as a form of information. As the convenience offered in taking, processing and storing, many people are leaving analogue images and switching to digital images. Digital image is one of the easiest forms of imagery used in terms of shipping as data, image processing and processing itself. Although an image is rich in information, but often the image we have has a decrease in the quality intensity, for example contains defects or noise (noise), the color is too contrasting or blurred. Decreasing the quality intensity, usually occurs in the process of taking or storing images (digital images). Mean filter is one of the linear filtering which functions to smooth and eliminate noise in an image that works by replacing the intensity of the pixel value with the average value of the pixel with the value of neighboring pixels. The application in this study was implemented using the VB.Net.2008 programming language and the database using Mysql.
IMPLEMENTASI ASSOCIATION RULE MINING UNTUK MENENTUKAN MENU MAKANAN DENGAN ALGORITMA APRIORI Henri Pandiangan
Jurnal Mantik Penusa Vol. 3 No. 1.1 (19): Manajemen dan Ilmu Komputer
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Warung Miso Pamatang is a Warung located at Jln. Sudirman No.36, Kel. Teladan, West Siantar, Pematangsiantar City, North Sumatra. This stall is a simple building that looks like a building of an ancient house, the term is like a traditional house. Warung Miso Pamatang (WMP) provides a menu book as a medium for visitors to choose an ordered menu item that lists food and beverage items. The database holds all data related to the activities of consumer purchase transaction data. therefore the writer uses this transaction data using datamining. By using Datamining the Association Rule Mining method, the stored data can be reviewed and processed so that it gets new information. By finding this new information, use the Association Rule Mining method to find combinations of food items and beverage items. Association Rule Mining conducts mining on sales transaction data recorded on the payment receipt printed by the cash register at a certain time period. In conducting Association Rule Mining, the author uses the FIN algorithm. FIN algorithm is a frequent itemset algorithm that uses a novel data structure in the form of nodesets.From some of the descriptions that have been obtained from the results of the discussion in the Implementation of the Mining Rule Association to determine the food menu with the Apriori Algorithm (Case Study of Warung Miso Pamatang, pematangsiantar) can help the owner of the shop where the Warung Miso Pematang owner knows the menu what foods are most often ordered by consumers and easier to see patterns of consumer purchases. With that also the owner of this stall knows which food ingredients should be prepared more to make the food menu that is most in demand by consumers, so that the work carried out runs effectively and efficiently.