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Journal : Jurnal Transformatika

Utilization of location-based services for the design of agricultural sales applications Moch Taufik; Sam Farisa Chaerul Haviana; Dedy Kurniadi
Jurnal Transformatika Vol 15, No 2 (2018): January 2018
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v15i2.598

Abstract

Onion is one of the main income sectors in Brebes Regency, since most of Brebes area is rice field. Climate and soil type in Brebes is very suitable for onion cultivation plus onion has a high selling value compared to other agricultural products, it makes onion become the main choice of agricultural citizens. The magnitude of the red shadow from Brebes supplies 23% of national needs. One common problem that arises is how to bridge or facilitate farmers to offer their crops, and make it easier for buyers to locate farmers who sell their crops. One solution is the development of a system that can be an e-commerce web for a special sales promotion media for Gapoktan members (Combined Farmer Group) in Brebes District that will connect sellers and buyers online, and location search media for buyers to more easily find distribution location of the seller by using Location Based Service. Keywords: Location Based Service, Onion
Implementasi Algoritma Cosine Similarity pada sistem arsip dokumen di Universitas Islam Sultan Agung Kurniadi, Dedy; Haviana, Sam Farisa Chaerul; Novianto, Andika
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1613

Abstract

Archiving in University that have not been well organized will cause a problems, the documents need for structuring and archives properly in the systems for the good standard a universities. The most importance of ease in finding the required archives is an important reason why it is necessary to develop an archive search system that can facilitate and improve the process of searching the archived document. Apllying cosine similarity algorithm in Information Systems is a solution for University to organizing archived documents, results from this reserach is the systems can show the relavant document from database list with precision 88.8% and recall 76.1%   from all the data in database.