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Journal : EXPLORER

Identifikasi Sampah Berdasarkan Tekstur Dengan Metode GLCM dan GLRLM Menggunakan Improved KNN Kristian Telaumbanua; Sudarto Sudarto; Fitri Butar-Butar; Putri Shania Bilqis
Explorer Vol 1 No 2 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.894 KB) | DOI: 10.47065/explorer.v1i2.94

Abstract

Inorganic garbage is a type of garbage which takes a long time to decompose naturally, and it is important to recycle this type of garbage to avoid it stacking up in the environment. Before the recycle process, the inorganic garbage will be grouped which needs an identification of its form of material. The digital image processing can be used to create a system which could identify the form of material the inorganic garbage is by analyzing the features. In this research, the feature that will be used is the texture feature. The texture feature will be extracted using the Gray Level Co-Occurrence Matrix, and Gray Level Run Length Matrix method. And for the material of garbage identification will use the Improved KNN classification method. The results of the test by using 50 images as data testing from 5 different material of garbage which is cardboard, glass, metal, paper, and plastic type of garbage have the highest mean of accuracy 90,4% by using the GLRLM method with 135° angle of extraction. Meanwhile the accuracy when combining the extraction methods, which is adding up the value of GLCM and GLRLM, have the highest mean of accuracy 88% with 0° angle of extraction
Pemodelan Proses Bisnis Sistem Marketplace Penjualan Kebutuhan Ormas Dan Partai Berbasis Website Telaumbanua, Kristian; Damanik, Florida; Suparnap, Erlanie; Sembiring, Afen Prana
Explorer Vol 4 No 1 (2024): January 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i1.1183

Abstract

Indonesian marketplaces have grown rapidly in recent years, especially since 2009 when many types of marketplace applications emerged. With the advancement of technology and easy access to the Internet, some consumers who previously never shopped online are now interested in switching to a digital shopping environment to fulfill their needs. However, there are obstacles for sellers in selling the needs of mass organizations and parties such as sellers only selling at the workplace, promotions are still based on references from buyers who buy in stores, so that sales figures are often not maximized. Therefore, an analysis and design of a website-based marketplace application for selling the needs of mass organizations and parties that can meet the sales needs of parties and mass organizations. This research uses the SDLC (System Development Life Cycle) waterfall method to design a system that produces a design of a marketplace application for selling the needs of mass organizations and parties that can facilitate buyers in making product order transactions and facilitate sellers in selling the needs of mass organizations and parties. This design is expected to be a reference to be developed into an application that can be implemented.