Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Profile Matching

Fitriana, Julia; Ripanti, Eva Faja; Tursina, Tursina

doi:10.26418/justin.v6i4.27113

Cited by 19 publications

(25 citation statements)

References 2 publications

(2 reference statements)

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“…C4.5 is part of the algorithm for classification in machine learning and data mining. C4.5 is an algorithm that is suitable for classification problems in machine learning and data mining (Fitriana, Ripanti, & Tursina, 2018) There are several stages in making a decision tree with the C4.5 algorithm, namely (Merdekawati, 2018): a. Prepare training data.…”

Section: Literature Reviewmentioning

confidence: 99%

Algortihm C4.5 in mapping the admission patterns of new Students in Engingeering Computer

Siregar

Sembiring

Hasdiana

et al. 2021

SinkrOn

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University of Harapan Medan is one of the private universities in North Sumatra which has computer-based study programs such as Informatics Engineering and Information Systems. Every year this college receives many registrations from students who have completed their education at the school stage. The large number of incoming student data makes it difficult for the admin to select new students who will register. In this study using the C4.5 algorithm data mining method to map the pattern of student admissions selection in the field of Engineering and computers. The attributes used are the average value of report cards (high, enough, low), basic academic ability tests (very high, high, medium, low, very low), basic computer knowledge tests (very high, high, enough, low, very low) and interviews (good, bad). Data mining is a mathematical calculation process that uses algorithms and requires large data. While the C4.5 algorithm is an algorithm that processes data by calculating entrophy and information gain, where after the calculation process is carried out, those who get the largest information gain value will become nodes and branches. This C4.5 algorithm will describe a decision tree that will form a pattern in student selection. The results of this study indicate that in mapping the selection pattern of interview attributes into level 1 nodes, the attributes of the basic computer knowledge test become the level 1 branch, the attributes of the basic academic ability test become the level 2 branch and the attribute average value of report cards becomes the level 3 branch.

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Section: Literature Reviewmentioning

confidence: 99%

Algortihm C4.5 in mapping the admission patterns of new Students in Engingeering Computer

Siregar

Sembiring

Hasdiana

et al. 2021

SinkrOn

View full text Add to dashboard Cite

show abstract

“…Beberapa tahapan in-depth interview adalah menginterpretasikan hasil wawancara, mengkodekan dan mengkategorikan atau mengelompokkan datadata. Interpretasi secara umum menafsirkan maksud dari setiap jawaban untuk setiap pertanyaan atau pernyataan (Fitriana et al, 2018).…”

Section: User Acceptance Test (Uat)unclassified

Sistem Informasi Pengadaan Barang Berbasis Web Pada Pt. Arpan Bali Utama

Sutriasih¹,

Asana²,

Meinarni³

2021

INSERT

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PT Arpan Bali Utama merupakan perusahaan manufaktur yang bergerak dalam bidang produksi minuman anggur. beberapa permasalahan yang ada yaitu ketika proses pencatatan transaksi pembelian dan penerimaan barang, serta permasalahan lainnya yaitu, manajer pihak tidak memiliki laporan mengenai pemesanan dan penerimaan sehingga tidak diketahui bagaimana pelayanan dari pihak pemasok . Solusi dari masalah tersebut adalah dengan membangun sistem pengadaan barang. Langkah – langkah yang dilakukan dalam tahap pengembangan sistem ini antara lain dengan metode: analisis perancangan, implementasi dan pengujian sistem dengan pengujian black box. Hasil dari penelitian bahwa sistem informasi pengadaan barang dapat membantu perusahaan dalam pencatatan dan pelaporan pengadaan barang. Terdapat fitur data barang, data supplier , data purchase order, data penerimaan, data pembayaran serta data penjualan yang bekerja dalam pencatatan pembelian dan penjualan barang. Selain itu juga terdapat fitur penjurnalan yang berfungsi untuk mencatat biaya-biaya pada perusahaan. Manajer perusahaan juga dapat mencetak laporan pembelian, penjualan, perbandingan, penerimaan, laporan jurnal, buku besar, laba rugi serta laporan saldo.

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“…Profile Matching (PM) is a decision making method assuming that decision making process considers a fulfilling of ideal value for predictor variable [34]. The decision maker should have an ideal value for each parameter operated to check all value of alternative decisions' parameter.…”

Section: Profile Matchingmentioning

confidence: 99%

Generic Decision Support Model for Determining the Best Marketer

Utama¹,

Oktafiani²

2020

Adv. sci. technol. eng. syst. j.

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For marketing company, determining the best marketing is a strategic decision. It is able to affect the companys future purposefully. The study conducted to propose a novel decision support model (DSM) for determining the best marketer. Seventeen parameters were considered into model and two methods fuzzy logic and profile-matching (PM) were combined as main method in constructing the model theoretically. The model was applied in medical appliance marketing company. It is finally also able to measure and present the best ranking of marketers that is able to make company for easily making a crucial decision.

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Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Profile Matching

Cited by 19 publications

References 2 publications

Algortihm C4.5 in mapping the admission patterns of new Students in Engingeering Computer

Algortihm C4.5 in mapping the admission patterns of new Students in Engingeering Computer

Sistem Informasi Pengadaan Barang Berbasis Web Pada Pt. Arpan Bali Utama

Generic Decision Support Model for Determining the Best Marketer

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