Decision Support System Untuk Menetapkan Daya Listrik Bagi Pelanggan PLN

The need for electrical energy is very dominant for humans, starting from the needs in the household, government business, home industry to large industries and all other aspects of life, now means that the availability of electricity is very important and very influential in increasing the socio-economic quality growth rate society in general. A PLN user to find out how much lamp power is needed in a room judging subjectively that is still in accordance with his own wishes. This writing makes the application using fuzzy logic to find out how much electrical power is used in an appropriate manner. To make it easier for a PLN user to determine the electrical power that is in accordance with the requirements, the author makes the application using fuzzy logic. The programming language used is visual basic. The benefit of this writing is to help a PLN user to optimize electric power so that it can save energy.

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Decision Support System for Electrical Power Selection to Household Users

10.31227/osf.io/gtf36 ◽

2017 ◽

Author(s):

Robbi Rahim ◽

Heri Nurdiyanto

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Electrical Power ◽

Electrical Energy ◽

Weighting Method ◽

The Government ◽

Simple Additive Weighting ◽

Home Users ◽

Selection Of

The need of home electricity every year is increasing rapidly with the increasing number of housing built either for middle to upper class or also middle to lower, for middle class down electricity usage is inversely with income per month so happened name of arrears electricity or even the theft of electric current to cover the requirement of electricity Households, and this is definitely illegal, household electrical power ranging from 450 - 1300 VA can use for home use with subsidies given by the government in 900 VA, the selection of power usage for home users can help by applying decision support system using Simple Additive Weighting method to determine the electrical energy of home users based on user criteria so those home users can ascertain the amount of power that used

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Sistem Pendukung Keputusan Untuk Menentukan Pelanggan Terbaik Pada Pizza Oei-Oei Medan Menggunakan Metode SAW

Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) ◽

10.32672/jnkti.v4i3.2977 ◽

2021 ◽

Vol 4 (3) ◽

pp. 203-208

Author(s):

Muhammad Yusuf ◽

Hasanul Fahmi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Programming Language ◽

Support System ◽

Visual Basic ◽

Standard System ◽

Microsoft Access ◽

Weight Value ◽

Access Database ◽

Simple Additive Weighting

The management of Pizza Oei-Oei Medan does not yet have a standard system in determining the best customer.m So far, this has been done randomly and without a structure in determining the best customer. Not fair to other customers. It takes a decision support system to determine the best customers who can make decisions from various alternatives and existing criteria in determining the best customers fairly. The method used is SAW (Simple Additive Weighting). SAW is a method that can determine the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives. SAW method can be implemented to find out the best customers based on the criteria and weights that are determined correctly. This research is to determine the best customers at Pizza Oei-Oei Medan. The system is built with Visual Basic Studio programming language with Microsoft Access database.

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IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

SINTECH (Science and Information Technology) Journal ◽

10.31598/sintechjournal.v2i1.316 ◽

2019 ◽

Vol 2 (1) ◽

pp. 40-46

Author(s):

Rikardo Chandra ◽

Izmy alwiah Musdar ◽

Junaedy .

Keyword(s):

Decision Support ◽

Decision Support System ◽

Programming Language ◽

Support System ◽

Naive Bayes ◽

Naïve Bayes ◽

Web Based ◽

Tourist Attractions ◽

South Sulawesi

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.

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Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

Jurnal ULTIMA Computing ◽

10.31937/sk.v7i1.448 ◽

2016 ◽

Vol 7 (1) ◽

pp. 12-18

Author(s):

Joko Haryanto ◽

Seng Hansun

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

System Application ◽

Prospective Students ◽

Fuzzy Logic Method ◽

Index Terms ◽

Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

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