Julius Santony
Computer Science Faculty, Putra Indonesia University, Padang, 25221, Indonesia

Published : 6 Documents
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### Found 4 Documents Search Journal : Jurnal Sistim Informasi dan Teknologi

Simulasi Pengadaan Barang Menggunakan Metode Monte Carlo Manurung, Kiki Hariani; Santony, Julius
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

#### Abstract

Inventory is a very important aspect for the development of a company. Inventory management is needed to determine the inventory of goods needed within a certain period so that market demand can be fulfilled. The data used in this study are inventory data 2016. Data processing in this study uses the Monte Carlo algorithm to predict procurement data. In accelerating data processing, this research applies a Web-based program with the PHP (Hypertext Processor) programming language. The results of testing this method are to obtain predictions of the supply of goods in a certain period of time with the right level of accuracy. From the test results obtained the level of accuracy in predicting inventory stock by 93% so that it can help companies in making decisions in the future.
Analisis Perkiraan Jumlah Produksi Tahu Menggunakan Metode Fuzzy Sugeno Nurdini, Siti; Nurcahyo, Gunadi Widi; Santony, Julius
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

#### Abstract

Tofu industry XYZ is a small industry that is managed in the form of a home industry, where the process of estimating the amount to be produced is still manual. For that, a calculation process is needed that can be used to save or buy. Of the existing problems used in the Sugeno Fueno Method. In this method uses three variables, namely, demand variables, purchase variables and production variables. Each variable has three sets of Fuzzy, the demand variable consists of down, medium and up. Variables consist of few, medium and many. And the production variable consists of reduction, tolerable and increasing. From the results of the test data conducted by the Sugeno Method there is a difference of error of 2.148% means that the truth level is 97,852%. Determining this method can be applied to the tofu industry XYZ in estimating the amount of tofu production for the next period.
Akurasi Keputusan dalam Penentuan Guru Berprestasi Dengan Menggunakan Metode Simple Additive Weighting (Studi Kasus Sekolah Menengah Kejuruan Muhammadiyah Batam) Wahyudi, Wahyudi; Santony, Julius; Nurcahyo, Gunadi Widi
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

#### Abstract

This study aims to obtain decision accuracy in determining teacher achievement using the Simple Additive Weighting method. Problems in Batam Muhammadiyah Vocational High School in determining the achievement of teachers using assessment criteria with the weight of educational qualifications, discipline, neatness, character, personality and teaching methods. The ranking process stage determines the alternatives of selected teacher achievement using the input of criteria weights. The results of this study get an accuracy rate of 80% with an accurate, fast, objective value. In the future, this research will be used as a new standard in determining teacher achievement.
Sistem Pendukung Keputusan Program Kerja Pengawasan Tahunan Menggunakan Metode Simple Additive Weighting (Studi Kasus di Inspektorat Kabupaten Rokan Hulu) Gunawan, Indra; Santony, Julius; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

#### Abstract

The Annual Supervision Work Program (ASWP) is a measure of efficiency and effectiveness in implementing supervision in supporting Inspectorate performance. For the preparation of this ASWP using a Risk-Based Supervision Planning (RBSP) based on certain criteria. Decision Support System (DSS) is a system used to determine alternative ASWP to be implemented. The criteria are determined using the Simple Additive Weighting (SAW) method. The basic concept of the SAW method is to find the total weighting of the performance rating for each alternative. Testing is done from ASWP alternative normalized according to the type of attribute criteria (benefit or cost). The final result is obtained from the calculation process, namely from the 10 test data there is 80% compatibility of the data from the system calculation. The sum of the normalized matrix with weights per criterion shows an alternative ranking of the regional apparatus organization that is closest to the criteria to the most distant from the criteria. In order to get an alternative ASWP to be implemented.