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Journal : Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)

PENENTUAN PENERIMA PINJAMAN KOPERASI MEKAR SURYA KARANGANYAR MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY OF IDEAL SOLUTION (TOPSIS) Insania Istiqomah; kustanto kustanto; Bebas Widada
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 2 (2019): Jurnal TiKomSiN, Vol.7, No. 2, 2019
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.553 KB) | DOI: 10.30646/tikomsin.v7i2.444

Abstract

ABSTRACTThe problems arise in the form of less objective decision-making and require a long time for selection and there is no computerized system that supports the prioritization of loan recipients. The purpose of this study was to overcome the problem determination of loan recipients by providing objective assessments to prospective loan recipients at the Cooperative Mekar Surya Karanganyar using the TOPSIS method. Loan determination applications use the Visual Basic programming language. Research methods include data collection and analysis and system design. The formulation of this research problem covers how the loan determination at the Cooperative Mekar Surya Karanganyar uses the TOPSIS method and how to build a loan determination application system using the TOPSIS method using the Visual Basic programming language. Based on the test results by comparing the determination of customer loan recipients in the Mekar Surya Cooperative with the calculation of the TOPSIS method proves the application of determining the loan recipient has good performance.Keywords: TOPSIS, Determination of loan recipients, Cooperative
Pencarian Data Barang Produk Atribut Sekolah Menggunakan Algoritma Binary Search Risma Dara Awal Aviantika; Kustanto Kustanto; Muhammad Hasbi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.546

Abstract

Technology and information that is growing and sophisticated must be balanced according to the needs. For it was made the application of binary algorithms for the search data goods production of school attributes. Many methods in search with the goal of making it easier to search, e.g. search data of production items of school attributes with binary search method. Convection in the search of production goods using the manual way by looking for the archive data written in the notebook, the purpose of this research is to create a data retrieval system of goods that will be applied as a data retrieval tool of goods, as well as change the system manual to the computing system. In this research using Binary Search algorithm. Binary search algorithm is a technique applied only on the sorted element (sorted). This research using method of binary search algorithm with analysis stage, system design, coding/construction, testing, and implementation. In the analysis stage, the collection of data conducted is observation and literature study. At the system design stage using Unified Modelling Language (UML) include the use case diagram, activity diagram, Sequence diagram, and Diagram class. At the construction stage using the Java programming language using Netbeans and MySQL Server tools while the implementation of this system is the application of data retrieval of goods. To know the eligibility of a system, it is necessary to test against the search time of 210 data each time duration, 0.0004 seconds, 0.0005 seconds, 0.0006 seconds, 0.0007 seconds, 0.0008 seconds, 0.0009 seconds, 0.0010 seconds, 0.0012 seconds, 0.0014 seconds, 0.00117 seconds. The final result of this study is the application of search for production goods with Binary Search Algorithm Method.
Analisa Perbandingan Squid 2.7, Squid3, Dan Squid Lusca Sebagai Cache Proxy Server Pada Ubuntu Server Gilang Ferdiansyah; Kustanto Kustanto; Sri Hariyati Fitriasih
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 2 (2021): Jurnal TiKomSiN, Vol. 9, No. 2, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i2.576

Abstract

RT/RW Net Joho Baru is one of the internet service provider organizations. As one of the growing internet service provider RT/RW Net Joho Baru has to give the best and the quickest services to the customers. So that it need appropriate technology which is support to the best networks to give good services to the customers.  The Important factors are cost and speed factors which related to the material efficiency and time. This research is comparing about proxy server operating systems such as Squid 2.7, Squid3, and Squid Lusca, so that it can easier to find out the appropriate operating systems to build the best network. SDLC Method has several steps. The first step is the analysis of feasibility study which included software and hardware.  The second step is the analysis of needs which is planning relate to the system project. Then network planning design is going apply. Next, continuing design system to system testing. Based on these steps, the proxy server is successfully to shorten time management on accessing the website. The results of the efficiency acquisition are Squid 2.7 at  75,1%, Squid3 at 83,5%, and Squid Lusca at 86,9%.
PENENTUAN JUMLAH PRODUKSI BAJU BATIK DI BATIK MERAK MANIS DENGAN METODE FUZZY MAMDANI Dwi Rudi Setiawan; kustanto kustanto; Yustina Retno Wahyu Utami
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 1 (2019): Jurnal TiKomSiN
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.324 KB) | DOI: 10.30646/tikomsin.v7i1.417

Abstract

Determination of production is one of the important activities within a company because it affects the production process that requires careful calculation. At this stage, the problem will arise because of the uncertainty in the determination of production. Fuzzy logic is one method to analyze a system that contains uncertainty. In this research used the Mamdani method or known as Min-Max method. The purpose of this research is to build the application of the determination of the number of batik clothes production using Fuzzy Mamdani method. The variables used there are 3 namely: demand, inventory, and production. Data collection method used observation method, interview and literature study. The method to design the application system is DFD (Data Flow Diagram), ERD (Entity Relationship Diagram). The proposed system is developed using MySQL and PHP. The result of this research is an application to calculate the production amount of batik clothes, especially in Batik Merak Manis. Based on the results of 20 sample data obtained level performance of 99.51%.Keywords: Fuzzy Mamdani, Batik clothing products, Determination.
Penerapan Moving Average Pada Prediksi Penjualan Accu Adi Khoirul Azis; Kustanto Kustanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 11, No 1 (2023): Jurnal TIKomSiN, Vol. 11, No. 1, April 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v11i1.722

Abstract

The problem faced by TIO ACCU is the difficulty of providing stock according to consumer needed, it caused every month has difference sale of product.  The purpose of this research is to create a battery sales prediction system using the Moving Average method. The Moving Average algorithm used for past sales data doesn’t has seasonal trends or elements. This method is applied to predict the number of battery sales in future periods. The results from 5 periods and validity test with 31 sales data for the MAD method is 3.90, for the MSE method is 20.09, and for the MAPE method is 7.72%. Meanwhile, the results of calculation 7 periods with validity test of 29 sales data for the MAD method is 3.70, the MSE method is 18.90, and for the MAPE method is 7.28%. The test results of the battery sales prediction system using the Moving Average method have run well and optimally with accuracy rate of 92.28% for 5-period predictions and 92.72% for 7-period predictions can be classified as very good criteria, because it has an error rate of less than 10%.