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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) JurTI (JURNAL TEKNOLOGI INFORMASI) Idealis : Indonesia Journal Information System JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Ticom: Technology of Information and Communication Telematika MKOM
Nofiyani, Nofiyani
Program Studi Magister Ilmu Komputer Program Pascasarjana Universitas Budi Luhur
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

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Implementasi Electronic Data Processing Untuk meningkatkan Efektifitas dan Efisiensi Pada Text Mining Nofiyani Nofiyani; Wulandari Wulandari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4332

Abstract

Technological developments make the distribution of the amount of data more and more and continue to grow every day, these developments can be used to mine data which can later be processed into text/information needed for its use. Preprocessing is part of text mining where the process is divided into several stages, namely case folding, symbol removal, slangword conversion, stopword removal, stemming and tokenization. The news obtained is raw data from the xlm file from google alert which is then inputted into a system developed using the PHP programming language and mysql database. The data processing method in this research is Electronic Data Processing. The use of this system is expected to help the data preprocessing process where the process takes a long time, especially if a large sample of data is needed. The results of the study showed that a crawling process data processing information system for 20 data records only takes 0.0079004486401876 Mins and the data cleaning process or preprocessing for 88 data records only takes 0.012900729974111 Mins. In other words, data processing using the system is more effective and efficient for the next process.
Penerapan Metode SMART Pada Sistem Pendukung Keputusan Rekrutmen Karyawan Baru Humisar Hasugian; Agus Umar Hamdani; Wulandari Wulandari; Nofiyani Nofiyani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5195

Abstract

At non-bank institutions, the recruitment process of new employees starts with the selection stage of the curriculum vitae, if they meet the requirements then process followed by psychological tests, interviews and programming tests. The determination of employees who are accepted to be hired by the companies is still subject to interviews results without considering other tests, therefor the hired employees are not ready for the work due to lack of technical ability. To overcome this problem, it is proposed to use a simple multi-attribute rating technique method for the processing of employee selection data because this method can process the data quantitatively and qualitatively with various assessments for each criteria and making the decision-making process easier and faster. The research objective is to assist the employee recruitment process using a web-based decision support system application by simple multi attribute rating technique method. The result of this study is in the form of a decision support system application website for recruiting new employees, using the criteria for Psycho-test Results (C1) weighting 20%, Age (C2) weighting 10%, Work Experience (C3) weighting 20%, Interview (C4) weighting 20%, and Mastery of Technical Aspects (C5) weighting of 30%. As for the alternative results of data processing using the above method are Febila Manda Dewi worth 0.666, Dini Apiani worth 0.447, Miqhiyal Noer Sopyani worth 0.890, and Irvan Egiawan worth 0.042, then based on the result it can be concluded that the prospective employee is Miqhiyal Noer Sopyani who got the highest score so he is recommended as the alternative new employee. The results of this study are objective due to the data processing is based on all criteria, so that the selected employees are certain to be ready to work.
Co-Authors Agus Umar Hamdani Dani Anggoro Dani Anggoro Humisar Hasugian Wulandari Wulandari Wulandari Wulandari