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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Teknoinfo Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Telematika International Journal of Engineering and Emerging Technology Madaniya MEANS (Media Informasi Analisa dan Sistem) Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Manajemen dan Teknologi Informasi Jurnal Bangkit Indonesia Jurnal Krisnadana
Made Pasek Agus Ariawan
Politeknik Negeri Bali
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences

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Journal : International Journal of Engineering and Emerging Technology

 1 
Design and Analysis of Mail Management Information System using PIECES Method : A Case Study at Faculty of Mathematics and Natural Sciences of Udayana University Pasek Agus Ariawan; Indra Sukadiana Putra; Putu Arya Mertasana
International Journal of Engineering and Emerging Technology Vol 2 No 2 (2017): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract— Information is needed by agencies, companies, organizations, institutions and the environment having no access to the system. Mail is an important means of communication for agencies. The faster the distribution of the mail the faster the information can be obtained by people or agencies. The increasing number of incoming and outgoing mail gives rise to some problems in mail management. From review of some researches, it can be said that the information management system can help handle the problem faced in mail data processing, mail filing, and mail searching. However, there are some drawbacks in the researches, among others the researches reviewed do not explain how the system works in the mail distribution, verification, signing, classification, and prioritization. This research aims to analyze and design an information system of incoming and outgoing mail management using the PIECES analysis. The advantages of the system are among others, it can help computerize data; the process of mail distribution can be real time with mail notification; the incoming mail data can be classified using the classification method; outgoing mail can be made using the SPK method and the mail signing can be made using the barcode system. Index Terms— information system design, mail, PIECES analysis.
Data Mining, Evaluation, K-means Evaluation of Supporting Work Quality Using K-Means Algorithm I Made Dwi Ardiada; Made Pasek Agus Ariawan; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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One of the factors that to improve the performance productivity of an organization or agency is Human Resources. During this time many government agencies that do not have employees with adequate competence, this is evidenced by the low productivity of employees and the difficulty of measuring employee performance in the scope of government agencies. This research discusses the application of K-means Clustering conducted at Udayana University, especially on annual performance data for contract workers. this study aims to classify cluster clusters that are determined to facilitate the evaluate quality of work of contract workers. This research uses data used as many as 1613 data. And done preprocessing get 544 data. In preprocessing data, K-means Clustering method is performed. In K-means Clustering determined the number of K as much as 5 Cluster. To determine Data Cluster used Ecludian Distance calculation. From the results of K-means Clustering Applying it takes 10 iterations. From 5 clusters conducted on 544 data there are clusters 0 as much as 38, Cluster 1 as much as 473, Cluster 2 as much as 130, Cluster 3 as much as 26 and from cluster 4 as many as 3. From the results of K-means Clustering implementation is used as a supporter of Quality Evaluation Work.
The Design of Library Data Warehouse Using OLTP Result of Services Analysis Pasek Agus Ariawan; Made Dwi Ardiada; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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The library is the primary means used in development efforts as well as an increase in knowledge. Library holds a very large role in the spread of information because the library provides collections that can be used as a reference for the Civitas academic. Data Warehouse is a system that takes and consolidate data periodically from a source system into a dimensional or normalization of the data store. The purpose of this research was to analyze the information about the business process and create the initial means for taking quick decisions in related service quality evaluation in libraries and Understand the trends/interests and make forecasts better decisions in the evaluation of the quality of related services in the library.
Co-Authors Adisimakrisna, Ida Bagus Alfariza, Muhammad Jaka Astya Prayudha, I Putu Bhaskara, I Made Adi Gde Brahupadhya Subiksa I Gede Angga Saputra I Made Dwi Ardiada I MADE SUDARMA I Nyoman Harini Puspita I Putu Astya Prayudha I Putu Astya Prayudha I Putu Oka Wisnawa Ida Bagus Adisimakrisna Peling Ida Bagus Adisimakrisna Peling Indra Sukadiana Putra Luh Gede Putri Suardani Made Pradnyana Ambara, Made Pradnyana Made Sudarma Ni Ketut Pradani Gayatri Sarja Ni Nyoman Harini Puspita Nyoman Putra Sastra Peling, Ida Bagus Adisimakrisna Prayudha, I Putu Astya Prayudha, Putu Astya Putu Arya Mertasana Putu Oka Wisnawa Wiguna, I Komang Arya Ganda Yanu Prapto Sudarmojo