The objectives of this study is to analyze a large amount of data that often appears to create a knowledge base that can be utilized by firm to enhance their decision support system. The authors used the association rules with rapid miner software, data mining approach, and predictive analysis that contains various data exploration scenarios. The study provides important evidence for adopting data mining methods in the industrial sector and their advantages and disadvantages. Chevron Pacific Indonesia (CPI) has a type of computer maintenance activity. Currently, a numerous errors often occur due to the accuracy in computer maintenance which has a major impact on production results. Therefore, this study focuses on association rules using growth patterns that often appear on variables that have been determined into the algorithm (FP-growth) which results in knowledge with a 100% confidence value and a 97% support value. The value results of this study has support and trust are expected to become knowledge for top management in deciding evergreen IT-business routines.
Penelitian ini bertujuan untuk melihat gambaran proses bisnis yang dilakukan di untan press. Proses bisnis yang dilakukan di untan press merupakan proses bisnis transaksi jual beli buku. Proses bisnis tersebut kemudian di identifikasi di anlisis dan dilihat permasalahan yang terjadi sehingga nantinya diberikan rekomendasi proses bisnis yang baru agar pengelolaan proses bisnis dapat dikelola oleh organisasi secara efektif maupun efisien. Rekomendasi tersebut di analisis dengan metode Business Process Improvement (BPI). BPI merupakan kerangka sistematis untuk menganalisis sebuah proses bisnis dan selanjutnya akan diberikan sebuah gambaran proses bisnis yang baru. Berdasarkan penelitian yang telah dilakukan proses bisnis transaksi jual beli buku masih menggunakan cara yang tradisional atau manual sehingga teridentifikasi permasalahan yang harus di berikan solusi bagi organisasi. Solusi yang diberikan adalah menerapkan sebuah Teknologi Informasi dan Komunikasi (TIK) berupa web dalam proses transaksi jual beli secara online dan tentunya rekomendasi ini hasil dari kajian menggnakan metode BPI. Kata kunci: BPI, Proses Bisnis, Untan Press, Rekomendasi, TIK
Completing the final project takes a guiding process n the final project where the concept of final project guidance itself is an effort to help students to provide direction, assistance, suggestions, and criticisms that arise from the preparation of the final project by the supervisor. However, sometimes the guidance process is not optimal. Lecturers or students themselves can cause this. The difficulty for lecturers to help students during tutoring is the limited communication time that is too narrow on campus and the difference in busy schedules between students and supervisors. Managing the time for the final independent project is also an obstacle that causes the completion of the final project to be delayed. Some students tend to be less active in carrying out guidance if the supervisor does not provide a fixed guidance schedule or does not provide a target time for students to complete the revision of the final project from the supervisor. So, it is necessary to build an information system for monitoring the final project supervisor to monitor the existence of supervisor. This study uses the User Experience Design Process to increase user satisfaction in interacting with the product. And at the final stage, a Usability Testing evaluation is carried out to test the product's usefulness. The results of this study are in the form of an assessment of how satisfied and comfortable a user is with a product, system, and service using an interface
The aim of this research paper is to construct a set of guidelines that can improve the quality and efficiency of knowledge data discovery process by utilizing various types of knowledge domains. In addition, this paper offered the way of how the knowledge domain could be adopted for helping the system developer. The methodologies contain various scenarios of data exploring and the authors used data mining approach. The paper shows evidence of important to adopt data mining methods in the industry sector as well as the advantages and disadvantages. Evergreen human machine interface (HMI) at PT. Chevron Pacific Indonesia (CPI) is kind of activities to maintenance computer equipment. Nowadays, the errors were frequently happened in the accuracy of computer maintenance which has a profound effect on production results. Therefore, this study focuses on the rules of association using the frequent pattern growth algorithm (FP-growth) which is producing knowledge with trust value of 100% and a support value is 95%. The value results of support and confidence are the new approach and knowledge for the management level to decide decisions in the evergreen activities process.
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