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All Journal International Journal of Engineering and Emerging Technology
Yanu Prapto Sudarmojo
Department of Electrical and Computer Engineering, Udayana University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Designing a Decision Support System for the Best Employee Selection Using AHP Method Case Study PT. Z Bali I Gusti Ngurah Wira Partha; Philipus Novenando Mamang Weking; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

The chairman and owner of PT. Z Bali considers the employees who work in his company to be very important for the continuity of the industry in his company, so he is very concerned about what the employees need. His attention to the needs of his employees is realized by giving bonuses to employees who have the best performance in the company. Periodically he assigns tasks to the Human Resources Department (HRD) in his company to process the best employee selection or employees who have good quality work. But the best employee selection process at PT. Z Bali is still done manually and only based on the subjectivity of the HRD, this led to the HRD has trouble making decisions, so sometimes there is an employee who obtained the title of the best people by just looking at the first criteria, but these employees have not been certainly excelled on some other criteria. Therefore, the purpose of this research is to Designing a Decision Support System for the Best Employee Selection Using AHP Method Case Study PT. Z Bali to be able to help the difficulties that are being faced by the Human Resources Department (HRD) at PT. Z Bali.
Design General Hospital Data Warehouse Base on Nine Step Methodology Ida Bagus Leo Mahadya Suta; I Gusti Ngurah Agung Surya Mahendra; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Data warehouse is a method used to hold and analyze data in large number. The analysis can be viewed from several different dimensions or points of view. The application of data warehouse technology can overcome the problems and needs of executive at Genral Hospital in conducting analysis of large amounts of patient data, especially data inpatient and outpatient care. The data warehouse design method is done by applying 9 step (Nine-Step Methodology) used by Kimball. The 9 stages are the selection process, selection, grain, identification and adjustment, fact selection, pre-calculation storage in the fact table, ensure dimension tables, select database durations, track changes from dimensions slowly, determination of priority and query model. The results of this study are in the form of schema design and data simulation warehouse by displaying inpatient and outpatient data based on time dimensions, patients reference, diagnosis, patient status, room, type of patient, condition of return, and district in the form of a table and graph
University Library Data Analysis to Help Book Collection Procurements using C4.5 Algorithm (Case Study: Udayana University Postgraduate Library) Anak Agung Gede Oka Kessawa Adnyana; I Nyoman Darma Kotama; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Library is one of many requirements for a university to be labeled as qualified university. Udayana University’s Library collections is one major concern. To keep a good collections that can fulfill the student and other academic purposes fulfilled. To create an efficient procurement, we need to keep tracks on every transactions that happening, to determine whether it is important to procure certain books from a certain study field by going through number of lending, number of novelty and book counts. Using C4.5 to learn about past procurement we are going to create an effective procurement
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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Abstract

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.
Prediction of DOTA 2 Match Result by Using Analytical Hierarchy Process Method Gede Adi Aryanata; Putu Suta Adya Dharma Rahadi; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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This research discuss about how to predict a match result by using data mining as the foundation to make a conclusion. In this research, Analytical Hierarchy Process (AHP) is used as a main data mining method for making a prediction. AHP works by using pre-existing data events as training data to obtain predictions of future data results. This research uses four parameters to predict the result of international Dota 2 match. Those parameters are experience per minutes (XPM) and gold per minutes (GPM), matchmaking ratio (MMR) point, 3 head to head matches result, and the last 10 results matches. In its implementation, the four parameters are given different rules and priority levels to support the performance of the AHP method. The result of this study has a satisfactory level of accuracy regarding the victory estimation of the match.
Co-Authors Anak Agung Gede Oka Kessawa Adnyana Darma Kotama, I Nyoman Gede Adi Aryanata I Gusti Ngurah Agung Surya Mahendra I Gusti Ngurah Wira Partha I Made Dwi Ardiada Ida Bagus Leo Mahadya Suta Pasek Agus Ariawan Philipus Novenando Mamang Weking Putu Suta Adya Dharma Rahadi