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All Journal Jurnal Tekinkom (Teknik Informasi dan Komputer)
Volvo Sihombing
Fakultas Sains dan Teknologi, Universitas Labuhanbatu
Computer Science & IT

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI USAHA KULINER DI DAERAH BAGAN BATU DENGAN MENGGUNAKAN METODE TOPSIS Wahyudi Seto Wardana; Volvo Sihombing; Deci Irmayani
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 4 No 2 (2021)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v4i2.260

Abstract

This study aims to design a decision support system for choosing a culinary business location typical of the Bagansiapiapi area in the Bagan Batu area. The many variations of the typical culinary of Bagansiapiapi are in great demand by the people in the Bagan Batu area. Therefore, opening a culinary business for regional specialties is one of the businesses that has the potential to advance in Bagan Batu. To help entrepreneurs who want to choose a culinary business location in the Bagan Batu area, a computer-based Decision Support System is designed. The decision support system for selecting the location of this entrepreneur uses the Topsis method. The criteria used in this study consisted of 5 criteria, namely the level of population density, rental fees, access to business locations, convenience of parking lots, cleanliness of business locations. The results of this study are recommendations for business locations in the form of alternative rankings that can be taken into consideration as the chosen location. Of the 5 alternative data processed in this DSS, the best alternative location is location 4 with a weighted value of 0.6566.
RANCANG BANGUN APLIKASI DETEKSI TEPI CITRA DIGITAL MENGGUNAKAN ALGORITMA PREWITT Ardiansyah Putra; Volvo Sihombing; Mustafha Haris Munandar
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 4 No 1 (2021): Jurnal Tekinkom
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v4i1.202

Abstract

Edge detection is one of the algorithms used in Digital Image Processing. This algorithm serves to identify the line/edge of the image object to highlight the boundary lines of the image information. Edge is a set of connected pixels (connected pixels) that restricts the objects contained in the image. Senses the eye is one that is used by humans to see. However, the human eye has its limitations in capturing the electromagnetic signals. Therefore, created a computer or imaging machine that can capture almost the entire signal elektromagnetic . Imaging machines can work with imagery from sources that do not fit, do not fit or can not be captured by human vision. This is why digital image processing have very wide usefulness. Image processing technology can fit into a variety of fields such as medicine, geology, marine , industrial and others.
Co-Authors Ardiansyah Putra Deci Irmayani Musthafha Haris Munandar Wahyudi Seto Wardana