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PENERAPAN TEKNIK DATA MINING DALAM PREDIKSI MASA TUNGGU MAHASISWA MENGGUNAKAN METODE KLASIFIKASI

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Penilaian

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Unemployment is one of the crucial problems faced by Indonesia. Moreover, unemployment for Bachelor and Diploma graduates, which has a large number every year. Based on official data published by the Indonesian Central Bureau of Statistics (CBS), it is recorded that open unemployment for Bachelor and Diploma graduates from 2019 to 2021 has not reached less than 9 hundred thousand people. From this data, the waiting period dataset after graduating from 2019 to 2021 was used which was obtained by the Sriwijaya University Career Development Center (CDC Unsri) with a Tracer Study activity that conducted questionnaires on alumni of Sriwijaya University. This study uses the Cross Industry Standard Process for Data Mining (CRISP-DM) method because it has stages used for data mining, each stage has its own function but is related to the others. The stages are in the form of business understanding phase, data understanding phase, data preparation phase, modeling phase, evaluation phase, and deployment phase. Based on this study, it was found that the variables that had a relationship with the waiting period were years of study, English language skills, analytical skills, leadership, and writing documents. Then the algorithm used is Random Forest because it has advantages in producing good classification results, can process large data and provides results that are less scattered but more innovative. And producing combined training data for 2021, 2020 & 2019 has an accuracy of 78.17% and a standard deviation of 1.85% which of course meets the criteria of no more than 2%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000826	T87374	T873742023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T873742023

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Sriwijaya., 2022

Collation

xvi, 87 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Informasi
Data dalam sistem-sistem komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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