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PS Magister Teknik Elektro Fakultas Teknik Unud Jalan PB Sudirman, Denpasar, Bali, Indonesia
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Majalah Ilmiah Teknologi Elektro
Published by Universitas Udayana
ISSN : 16932951     EISSN : 25032372     DOI : https://doi.org/10.24843/MITE
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Majalah Ilmiah Teknologi Elektro (MITE) is peer review journal, published twice a year by the Study Program of Magister Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include power systems, telecommunications, informatics, and electronics. Authors are expected to include original scientific papers in accordance with the scope of the discussion of this journal including all aspects of the theory and practice are used.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 22 Documents
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Search results for , issue "Vol 18 No 1 (2019): (Januari - April) Majalah Ilmiah Teknologi Elektro" : 22 Documents clear
Sistem Pendukung Keputusan Pemilihan Pemenang Pengadaan Jasa Konstruksi Pada Pemerintah Kota Denpasar dengan Metode Saw Berbasis Fuzzy Wahyu Sanjaya; I N Sukajaya; I GA Gunadi
Jurnal Teknologi Elektro Vol 18 No 1 (2019): (Januari - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2019.v18i01.P03

Abstract

Procurement of Construction Services is an important activity in supporting development in the city of Denpasar. The procurement process is an activity that is susceptible to manipulation, so that the construction produced is not in accordance with the specifications that have been made. Therefore it is necessary to design a computerized system to accommodate these interests. Computerized, computerized decisions make the process of selecting providers transparent, thus minimizing fraud in the selection process. Current problems faced, the Goods / Services Procurement Service Working Group (ULP) conducting the assessment process are still in the form of a manual, so that the bidder's disapproval or dissatisfaction with the final results of the selection of winners on a job. This research is intended to build a decision-making system that can be used to assist the ULP Working Group in proposing / determining the winner of the tender conducted at the Denpasar City Government. The system designed to process the inputting data in the form of requirements that have been completed by participants in order to complete the required requirements of a job. System evaluation is based on calculations carried out by the ULP Working Group by conducting several evaluation processes namely evaluation of bids, administrative evaluation, technical evaluation and evaluation of qualifications. System output results in the form of (a) the value obtained from participants who bid on a job and (b) the best rating from the bidder, based on the value obtained by each bidder. Based on the tests that have been carried out, with employment data of 138 construction services work data from 2016 to 2017, the best level of accuracy obtained by the system is equal to 97.1%. These results are obtained based on testing actual data with data generated by the system. Based on the results of the accuracy obtained from the test results, this system can be recommended to assist the work of the Denpasar City ULP Working Group in conducting the assessment process. Keywords - Decision Support System, Government Tender, SAW, Fuzzy
Text Mining pada Sosial Media untuk Mendeteksi Emosi Pengguna Menggunakan Metode Support Vector Machine dan K-Nearest Neighbour I Made Dwi Ardiada; Made Sudarma; Dwi Giriantari
Jurnal Teknologi Elektro Vol 18 No 1 (2019): (Januari - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2019.v18i01.P08

Abstract

Twitter social networking and microblog services that allow users to send and read text-based messages up to 140 characters, known as tweets. A text in a tweet does not only convey information from an information, but also contains information about human behavior including emotions. To detect the emotion of the text on Twitter social media services with unstructured data, it is necessary to do text analysis, one of them is by using Text Mining. Text mining tries to extract useful information from data sources through identification and exploration of an interesting pattern. Data sources are a collection of documents and interesting patterns that are not found in the form of record databases, but in unstructured text data. In this study proposes to do text mining research on Social Media to detect user emotions. Text-based emotional detection can be used in business, education, psychology, and any other field that is most important for understanding and interpreting emotions. From the tests carried out by the Support Vector Machine and K-Nearest Neighbor methods can produce an average value of precision of 0.45640904478933. Recall value is 0.50199332258158 and the accuracy value is 0.8140589569161 while from the K-Nearest Neighbor method the average value of precision is 0.34210487225193. Recall value is 0.45954538381009 and the accuracy value is 0.79705215419501. the results of testing with the SVM-KNN method showed that the suitability of emotional classification was better than the K-Nearest Neighbor method of the whole emotional categories.

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