SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN CALON MAHASISWA BARU JALUR PRESTASI DI SEKOLAH TINGGI TEKNOLOGI ADISUTJIPTO MENGGUNAKAN SIMPLE MULTI ATTRIBUTERATING TECHNIQUE

In the era of globalization, educational institutions are required to follow the development of information technology. Information technology required and can be applied as a decision support tool managerial activities at the college. This research aims to develop a decision support system for the Sekolah Tinggi Teknologi Adisutjipto (STTA), namely the acceptance of new students, especially the path of achievement, using the Simple Multi Attribute Rating Technique of Web based, where in the method is choosing alternative criteria that have value and weight has been determined, getting the new students he deserves. Based on the results of testing the system, it was concluded that the method is Simple Multi Attribute Rating Technique is effective enough to be applied in determining the admission of new students in STTA.

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Decision Support System for the Production of Miscanthus and Willow Briquettes

Energies ◽

10.3390/en13061364 ◽

2020 ◽

Vol 13 (6) ◽

pp. 1364 ◽

Cited By ~ 3

Author(s):

Sławomir Francik ◽

Adrian Knapczyk ◽

Artur Knapczyk ◽

Renata Francik

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Web Application ◽

Modular Design ◽

Renewable Energy Sources ◽

Decision Support Tool ◽

Total Energy Consumption ◽

Support Tool ◽

Energy Demands

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

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Determining Goods Delivery Priority for Transportation Service Companies Using SAW Method

Journal Of Computer Networks, Architecture and High Performance Computing ◽

10.47709/cnahpc.v3i2.1154 ◽

2021 ◽

Vol 3 (2) ◽

pp. 256-262

Author(s):

Sumaizar Sumaizar ◽

Kalvin Sinaga ◽

Eko Deswin Siringo-ringo ◽

Victor Marudut Mulia Siregar

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

System Approach ◽

Decision Support Tool ◽

Support Tool ◽

Service Companies ◽

Transportation Service ◽

Simple Additive Weighting

This research was conducted aiming to overcome the problem of the effectiveness of the delivery of goods by the Cendrawasi Expeditionary Company which at this time still does not use a decision support system approach. For the process of delivering goods to customers to be carried out effectively, a decision support system is designed that functions to determine the priority of goods to be delivered first. This problem is solved by designing a decision support system using the Simple Additive Weighting (SAW) method which serves to help the Cendrawasi Expeditionary company get recommendations for priority delivery of goods. The SAW method is very appropriate to be used as a decision support tool where in this study three alternative choices of goods that must be delivered first were obtained, namely plywood with a preference value of 99,6, mattress with a preference value of 83,55, and PVC pipes with a preference value of 79,35.

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Sistem Pendukung Keputusan Penerimaan dan Pengelompokan Kelas Peserta Didik Baru di SMP Islam Parlaungan Waru Sidoarjo U

Jurnal INFORM ◽

10.25139/inform.v1i2.852 ◽

2016 ◽

Vol 1 (2) ◽

Author(s):

Mochammad Khozin

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Evaluation Method ◽

Web Based ◽

Ability Test ◽

New Class ◽

New Students ◽

Factor Evaluation ◽

System Acceptance

Abstract- Decision Support System Acceptance and Grouping of Students New Class in SMP Islam Parlaungan Waru Sidoarjo, developed to assist the process of selecting the reception and grouping class of new students in SMP Islam Parlaungan Waru Sidoarjo based on predetermined criteria. These criteria form of Value Average National Exam (UN), Value of Academic Ability Test, test scores diniyah / Koran and the achievement of learners. Decision Support System Acceptance and Grouping Class Students New constructed using Multi-Factor Evaluation Method of Process and Web-based. We make this system can help the committee Admission of new students (PPDB) in SMP Islam Parlaungan in selecting and classifying new learner classes.

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Applied Study on the Mine Production & Management Decision Support System Based on Data Warehouse

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.102-104.900 ◽

2010 ◽

Vol 102-104 ◽

pp. 900-904 ◽

Cited By ~ 1

Author(s):

Xue Feng Li ◽

Shu Yu Zhong

Keyword(s):

Decision Support ◽

Decision Support System ◽

Data Warehouse ◽

Support System ◽

Production Management ◽

Decision Support Tool ◽

Management Decision ◽

Support Tool ◽

Mine Production ◽

Management Decision Support

With accumulating data in mine production, integration of the existing separate information systems is of great importance in enhancement of both production management and support decision-making. BIStar, a production & management decision support system base on data warehouse technology was developed as a user-friendly data analysis, display and decision support tool, and was presented with illumination of its main framework and detailed discussion of its certain key points of the subsystem, such as data acquisition system, central database system, access tools. An application example of information analysis conducted by a large mine corporation was also cited for analysis of feasibility & cost-effectiveness.

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Menggunakan Sistem Pendukung Keputusan Penentuan Uang Kuliah Tunggal Universitas XYZ Menggunakan Algoritma Backpropagation

Petir ◽

10.33322/petir.v14i2.996 ◽

2021 ◽

Vol 14 (2) ◽

pp. 170-180

Author(s):

Raden Muhamad Firzatullah

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Web Based ◽

Information And Computer Technology ◽

Collection Data ◽

Decision Making System ◽

New Students ◽

Tuition Fee

The determination of the student's single tuition fee grade at XYZ University still faces problems, one of which is the inconsistency of supporting variables which change each year based on the number of students and the level of student welfare. Determination of the class of student's single tuition fee based on the web that applies the backpropagation algorithm is designed to produce an adaptive decision-making system for changing variable determinants so that every year it is not necessary to adjust the weight in determining the student's single tuition fee group. In building a decision support system to determine the student's single tuition fee group, there are several stages including data collection, data processing, backpropagation implementation, evaluation and presentation of the model, and implementation of a web-based decision support system. During the evaluation and presentation of the model, several experiments were carried out by considering various parameters to get the best accuracy results. The accuracy of the best model produced in this study reached 86% with output in the form of a web-based decision support system that is ready to be managed by the Center for Information and Computer Technology (PUSTIKOM) of XYZ University for use by new students.

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PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN TENDER PROYEK DI DINAS PEKERJAAN UMUM SOLOK SELATAN BERBASIS WEB

Voteteknika (Vocational Teknik Elektronika dan Informatika) ◽

10.24036/voteteknika.v3i1.5164 ◽

2015 ◽

Vol 3 (1) ◽

Author(s):

Lusi Tridarni ◽

Elfi Tasrif ◽

Yeka Hendriyani

Keyword(s):

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Web Based ◽

Final Project ◽

Winning Bidder ◽

Process Database ◽

System Project ◽

Hierarchy Process

The problem in this final project is bidding tender project at the Department of Public Work of South solok works manually. The manually process like registering company and all participants who have registered will be collected in a room so it would make any difficult for participants who are outside the area. The development of information technology has a lot of influence in various fields. One of the information technology is growing rapidly is a web-based information systems. The utilization of this web-based information technology within an organization can be implemented on the Victory Decision Support System Project Tender, the incoming data will be stored in a database and the database as data processing. Tender decision support system project is using Analytical Hierarchy Proces method is to determine the criteria that will be used to calculate the weights. The criteria used in this system is the administrative, technical and price. Each criterion is calculated and the result will be used to determine the winning bidder. Keyword : Analityc Hierarchy Process, Database, Decision Support System,Tender, Web

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Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

10.26594/r.v2i1.444 ◽

2016 ◽

Vol 2 (1) ◽

pp. 40

Author(s):

Fatikhatus Sholikhah ◽

Diema Hernyka Satyareni ◽

Chandra Sukma Anugerah

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Customer Loyalty ◽

Design Decision ◽

Web Based ◽

Business World ◽

Election System ◽

Simple Additive Weighting ◽

The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

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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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