Claim Missing Document
Check
Articles

Found 3 Documents
Search

PREDIKSI PENGANGKATAN KARYAWAN DENGAN METODE ALGORITMA C5.0 (STUDI KASUS PT. MATARAM CAKRA BUANA AGUNG) Ismasari Nawangsih; Sifa Fauziah
Jurnal Pelita Teknologi Vol 16 No 2 (2021): Pelita Teknologi: Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.544 KB)

Abstract

In the decision to appoint permanent employees that can be made at the company is determined in terms of attendance and good discipline. Determination of the appointment of permanent employees at PT. Mataram Cakra Buana Agung still looks imprecise and takes a long time. Then a study was conducted that aims to determine the prediction information on permanent employee appointments by looking at the criteria set by the company using the C5.0 classification algorithm with the decision tree method. The data used in this study are employee data owned by PT. Mataram Cakra Buana Agung as many as 403 data, the process of testing the method using Rapid Miner9.5. Based on the results of testing on research in predicting employee appointments at PT. Mataram Cakra Buana Agung, obtained the result from the C5.0 algorithm or decision tree, which is an accuracy of 90.00%. So it can be concluded that the C5.0 algorithm technique with the decision tree method is considered successful in predicting employee appointments at PT. Mataram Cakra Buana Agung. Keywords: Employee recruitment, classification, C5.0 algorithm.
Penerapan Sistem Pakar Berbasis Android Dengan Metode Decision Tree Untuk Memprediksi Postpartum Haemorrhage Pada Wanita Hamil Wiyanto W; Mutiara Ihdina Maulida; Sifa Fauziah
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Pelita Teknologi: Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.526 KB)

Abstract

Postpartum haemorrhage factor is a contributor to the Maternal Mortality Rate (MMR) 19.7% in the range 12.9 - 28.9 with 480,000 deaths worldwide and 479,000 from developing countries such as Indonesia. In Indonesia the MMR is 305/100,000 Live Births (LB) of the Millennium Development Goals (MDGs) target of only 102/100,000 LB. To achieve the MDGs target, the MMR needs to be lowered, then formulated the problem of how to make an Android-based expert system using the decision tree method so that it can predict Postpartum Haemorrhage from an early age. With the aim of being able to produce an Android-based expert system to predict Postpartum Haemorrhage, so that cases of death caused by Postpartum Haemorrhage receive medical attention from an early age. The expert system makes predictions from logic in an Android-based program using the SDLC structured design system design method and a parallel development model. This logic has gone through the process of classifying a dataset using the Decision Tree method manually and using Rapid Miner. The Decision Tree logic produces three statements of PPH, NO PPH and Potential PPH which are entered using the Java programming language on Android to become an expert system. Pregnant women with predicted PPH and Potential PPH from the expert system can consult a doctor to get the medical personnel they need early to prevent maternal death caused by Postpartum Haemorrhage.
PENGEMBANGAN SISTEM INFORMASI ABSENSI KARYAWAN BERBASIS RFID 125 KHZ MENGGUNAKAN METODE AGILE DEVELOPMENT PADA PT. SANLY INDUSTRIES Ucok Darmanto Soer; Sifa Fauziah; Iim Nursida
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.110

Abstract

The application of absences from work that occurred at PT. Sanly Industries, which has been happening during the pandemic, is still being carried out in each department by a staff. Absenteeism and overtime recording are still manual, and salary summaries are manual. The employee database is not provided with Microsoft Excel, which causes some problems that the system encounters in the company. In addition, handwritten absentee ballots are easily damaged, easily messed up, easily lost, easily damaged, and easily soiled. His RFID-Based Absence with RFID Reader is an alternative for Writers to overcome the problem of absence in the enterprise by using an interface Design using PHP and integrating with a MySQL database. We develop an absence information system using Agile Development methods. The development of this information system supports the processing of employee absences and is integrated with RFID cards that can be used as employee ID cards. The system speeds up the process of reimbursement of absences to help make the payroll process more effective and efficient, making issues related to the payroll process easier and more profitable.