PENENTUAN DOKUMEN LAMPIRAN SURAT KETERANGAN PENDAMPING IJAZAH (SKPI) MENGGUNAKAN METODE TERM FREQUENCY – INVERSE DOCUMENT FREQUENCY (TF-IDF) DAN VECTOR SPACE MODEL (VSM) (STUDI KASUS : STT-PLN JAKARTA)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Febriyanto, Firman Giri
Luqman, Luqman
Rifai, Mochamad Farid
Luqman, Luqman
Rifai, Mochamad Farid
Subject
Teknik Informatika
Datestamp
2022-09-22 02:21:43
Abstract :
At PLN Technical College (STT-PLN), the determination type of document attachments letter a companion qualifications (SKPI) are still done manually. This research aims to provide an alternative to determine the type of document attachments to SKPI. The methods are applied to build the system is Text Mining, Term Frequency Inverse Document ? Freqeuncy (TF-IDF) and Vector Space Model (VSM). Text mining to perform processing of data, where the data to be processed is title and data from document SKPI, while VSM to perform classification based on the highest weighting of each document. This research can recommend six types of categories to be the determination of the types of SKPI. Among them is the international language, championship award, character education, final project/thesis, internship industry and also the experience of the organization. In this research, the author uses the model of software development is a Cross-Industry Standard Process for Data Mining (CRISP-DM). The results of this research use 30 test data that has an accuracy rate of 93.33%.
At PLN Technical College (STT-PLN), the determination type of document attachments letter a companion qualifications (SKPI) are still done manually. This research aims to provide an alternative to determine the type of document attachments to SKPI. The methods are applied to build the system is Text Mining, Term Frequency Inverse Document ? Freqeuncy (TF-IDF) and Vector Space Model (VSM). Text mining to perform processing of data, where the data to be processed is title and data from document SKPI, while VSM to perform classification based on the highest weighting of each document. This research can recommend six types of categories to be the determination of the types of SKPI. Among them is the international language, championship award, character education, final project/thesis, internship industry and also the experience of the organization. In this research, the author uses the model of software development is a Cross-Industry Standard Process for Data Mining (CRISP-DM). The results of this research use 30 test data that has an accuracy rate of 93.33%.
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