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All Journal CCIT (Creative Communication and Innovative Technology) Journal Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Winarno Winarno
Universitas Raharja
Computer Science & IT

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Implementasi Metode Rule Based dan TOPSIS pada Sistem Seleksi Kinerja Divisi Berdasarkan Corporate Culture Achmad Aries Pirnando; Ignatius Joko Dewanto; Winarno Winarno
Prosiding SISFOTEK Vol 3 No 1 (2019): SISFOTEK 2019
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.476 KB)

Abstract

Corporate culture can be used as an effective driving force in achieving goals in accordance with the organization's vision and mission. An effective work culture can unite the ways of thinking, behaving and acting throughout the organization, making it easier to establish and implement the vision, mission and strategy in the corporation, and able to strengthen teamwork within the corporation, and eliminate internal frictions that arise. As one of the steps to maintain the existence of the company amid uncertain global conditions, it is necessary to evaluate the organization of its divisions to always cling to Corporate Culture. Based on the evaluation evaluation conducted previously, almost 50% of employees at PT XYZ Laboratories disagreed with the research conducted by the division. Therefore, it is necessary to develop a system that can act as a transparency in management decision making. By using the rule based method that is used as a selection method and the TOPSIS method that is carried out for division decision making is chosen, it is hoped that this system can be useful and in accordance with management needs. After going through the testing process, in general this system produces a total percentage of 100% on the success of the item test in the testing process of the 10 items tested. Thus the application meets the requirements for making the program, which is readable and valid.
Prediction Model of Production Completion Delay to Improve Service Quality Using Decision Tree Versus Multilayer Perceptron Method Arko Djajadi; Winarno Winarno; Abdullah Dwi Srenggini
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.207 KB) | DOI: 10.33050/ccit.v15i2.2314

Abstract

Delays in the completion of pvd production can be caused by several factors. Including the actual experience in the production of the difficulty of each process and color type, even the difficulty of the product type can also be affected. In this study, the prediction of the delay in the completion of pvd production was carried out using the C4.5 decision tree and Multilayer Perceptron data mining method approach using Production Results data at PT. Surya Toto Indonesia, whose results are expected to provide information and input for the company in making production plans in the future. The data testing method was carried out with 5 (five) testing times with different amounts of data to determine the level of consistency of accuracy obtained. C4.5 gives the results of a decision tree where the root is the color type and as the leaf is the product category, type type and order period. The average value of accuracy generated in the C4.5 decision tree method is 87.15%. While the Multilayer Perceptron obtained an average accuracy of 87.98%, which is greater than the decision tree method with a difference of 0.83%.
Co-Authors Abdullah Dwi Srenggini Achmad Aries Pirnando Arko Djajadi Ignatius Joko Dewanto