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Sekretariat KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) Jln. Jendral Sudirman Blok A No. 1/2/3 Kota Pematang Siantar, Sumatera Utara 21127
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Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : -     EISSN : 2720992X     DOI : 10.30645
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari industri dalam bidang Ilmu Kecerdasan Buatan. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan sistem informasi. KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) terbit 4 (empat) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 1, No 3 (2020): Edisi Juli" : 5 Documents clear
Implementasi Logika Fuzzy Dengan Metode Tsukamoto Untuk Menentukan Tingkat produksi Beras Berdasarkan Data Persediaan dan Jumlah Permintaan Yehezkiel Purba; Markus Deboby Nainggolan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 3 (2020): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i3.32

Abstract

Total Rice Production in Sihotang Stores must be in accordance with the existing demand and supply, if the amount of production that is not appropriate will result in shop losses because there is no analysis of buyer requirements for product demand and supply. Sihotang Rice Store is a domestic industry that produces rice only estimates the needs of buyers . In producing rice, only estimating the buyer's needs is not certain that the buyer's needs are not met or exceeded. In the analysis, the amount of production in the Store uses the Tsukamoto Fuzzy logic method. Data were analyzed based on demand, supply and amount of production that was never carried out by the Sihotang Rice Shop. In Tsukamoto's Fuzzy Conclusion Drawing method, each consequence of a rule must be represented by a set of Fuzzy with monotonous membership functions, as a result, the output of the inference of each rule is given explicitly with a predicate, the final result obtained using a weighted average.
Penerapan Logika Fuzzy Metode Sugeno untuk Menentukan Jumlah Produksi Keripik Kentang Usaha Rumahan Berdasarkan Data Persediaan dan Jumlah Permintaan Esty Octa Marlina Sirait; Osi Magdalena Sitohang; Nurleily Diyanti
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 3 (2020): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i3.33

Abstract

The maximum profit is obtained from maximum sales. If the number of products produced by this home-based chip business is less than the amount of demand, this home-based business will lose the opportunity to get the maximum profit and vice versa. Therefore, planning the number of products in this home chip business is very important. In order to meet market demand precisely and with the appropriate amount. Factors that need to be considered in determining the number of products, among others: the amount of inventory and the amount of demand. The writing and discussion in this study is about the Application of Fuzzy Logic Sugeno Method to Determine the Amount of Purchase of home chips. To create a program design that can be expected to be applied and used, so that it helps the process of determining the amount of production based on inventory data and the amount of demand on a home-based chip business. Fuzzy Logic Sugeno method in determining the amount of chips production based on inventory data and the number of requests that have been built can be used to assist business voters in making a decision with a truth value reaching 94.887%.
Implementasi Metode Fuzzy Tsukamoto Untuk Prediksi Produksi Ikan Gurame Usaha Budidaya Penangkaran Bima Kurniawan; Dede Andira; Ogi Wahyudi
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 3 (2020): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i3.34

Abstract

Carp is one type of fish introduced recently which is in great demand, because it has the advantage of resistance to disease and fast growth (80-100) days. At present many agricultural areas are utilized as ponds as in sleman. Fuzzy Tsukamoto is one method that is able to calculate and predict according to the data criteria used to get the optimal value in a process, especially in the problems of carp farming. Tsukamoto's Fuzzy Method is first performed to determine its membership function, then to determine the rules, and later the categories will be clustered to each group according to the rules applied. The Tsukamoto method used is the Center Average Defuzzifier method. The conclusion obtained from this study is the use of Fuzzy Logic with the Tsukamoto method can determine the prediction results of demand for gouramy stock as much as 64.9 kg.
Pemberian Rekomendasi Tempat Kuliner Bagi Pelajar dan Mahasiswa menggunakan Metode Fuzzy Mamdani Diana Pratiwi; Sari Marito Tondang; Ayu Fadilla
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 3 (2020): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i3.30

Abstract

Culinary is a part of life that is closely related to daily food consumption. Some people have difficulty in determining where to eat to be visited, this is influenced by several considerations including the budget (budget) that is owned and the facilities at the place to eat. This article aims to recommend good culinary places for students, and students who are chosen from a good budget and facilities. The title of this article is proposed so that students can choose a good culinary place by using the Fuzzy Mamdani inference method. This method can be used to quickly complete this article. The limitations of planning a conventional food menu can be overcome in a number of ways, for example by increasing food menu data and by utilizing advances in information technology to find out food menus can be easily found on the internet.
Fuzzy Inference System Pada Produksi Bibit Ikan Nila Menggunakan Algoritma Tsukamoto Juan Panjaitan; Johannes Fernando
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 3 (2020): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i3.31

Abstract

This study aims to apply the Tsukamoto fuzzy algorithm to predict the production of tilapia seedlings in breeders must increase effective production in accordance with customer demand. The variables used to predict tilapia seedlings are demand, supply, production. The data source of this research was obtained by interview and direct observation to the production site of tilapia fish that is located in Pulo Siborna district. Panei, kab. Simalungun. It is hoped that this research can help tilapia seed breeders in producing tilapia seedlings, especially for tilapia seed breeders.

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