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All Journal IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Ilmiah Flash Justek : Jurnal Sains Dan Teknologi Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Teknologi dan Informasi Infotronik : Jurnal Teknologi Informasi dan Elektronika @is The Best [Accounting Information System & Information Technology Business Enterprise] Jurnal E-Komtek Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Tematik : Jurnal Teknologi Informasi Komunikasi Community Empowerment JURNAL ILMIAH INFOKOM PEDAMAS (Pengabdian Kepada Masyarakat)
Sastradipraja, C K
Politeknik Piksi Ganesha
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences

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Sistem Pendukung Keputusan Kenaikan Jabatan Menggunakan Metode Algoritma Naïve Bayes Classifier Dewi, P S; Sastradipraja, C K; Gustian, D
Jurnal Teknologi dan Informasi (JATI) Vol 11 No 1 (2021): Jurnal Teknologi dan Informasi (JATI)
Publisher : Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jati.v11i1.3593

Abstract

This research aims to build an information system that can support the company in decision-making, especially about the promotion of positions at PT. Global Beautiful Fashion. This is motivated by the difficulty of determining whether or not an employee has been promoted to office, due to an uncomputed system and stacked employee data documents. In this study, the data used is data on the promotion of employee positions at PT. Global Beautiful Clothing and the method used is the Naïve Bayes Classifier algorithm method. And to find out how well the Naïve Bayes Classifier algorithm was used in this study, RapidMiner software was used to conduct testing. RapidMiner's testing yielded an accuracy score of 91.67% and a ROC value of 0.979 which means the Naïve Bayes Classifier algorithm was very well used in this study. After testing using RapidMiner software and obtaining test results, it is then implemented into a system using PHP and MySQL designed to predict promotion. The prediction results obtained from the system are following the calculation results obtained from RapidMiner software and manual calculations. Based on the research that has been done that the decision support system built can be applied to PT. Busana Indah Global (BIG) to make it easier to determine the feasibility of promotion for its employees.
PENERAPAN TEKNOLOGI QR CODE PADA SISTEM ABSENSI DI KLINIK ADIANDRA Taryanto, Ardi; Listianti, Yulia; Alim, Agus; Sastradipraja, Cecep Kurnia; Hamdani, Aldi
INFOKOM (Informatika & Komputer) Vol 13 No 1 (2025): JURNAL INFOKOM JUNI 2025
Publisher : POLITEKNIK PIKSI GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56689/infokom.v13i1.2005

Abstract

Adiandra Medika Clinic is a healthcare facility that still uses a manual method for recording employee attendance. This approach leads to several issues, such as inaccurate records, data manipulation, slow recap processes, and paper waste. This study aims to design a digital attendance system using QR Code to record attendance more accurately and efficiently. Data were collected through on-site observation and interviews. The system was developed using the Waterfall model, designed with UML, and built using the CodeIgniter framework in a web-based environment. Testing was conducted using the black box method to ensure all features function as required. The results show that the system improves the speed of attendance recording, minimizes errors, and supports real-time monitoring. The system is feasible for implementation and can be adopted by clinics or similar institutions in need of a digital attendance solution. Its implementation is also expected to enhance the overall management of human resources.
Co-Authors 1Rendy Said Kusmana Adhitia Erfina Adji, Wilma Zuarko Agus Alim Ardi Taryanto Arif Prio Pambudi Arif Saripudin Aris Subagja Azhar Maolana Dea Kris Sintiana Putri Dery Ahmad Kamalino Dewi, P S El Vionna Laellyn Nurul Fatich falentino sembiring Faradillah, Fannia Gumgum Darmawan Gustian, D Gustian, Dudih Hadi, Juandi Haerul Ramadan Hamdani, Aldi Indri Andriyani Juandi Hadi K. Prihartono A.H. Karim, Khobir Abdul Kirana, Nira Listianti, Yulia Martowinangun, Kasino Murweni, Ira Muslih, Muhamad Novianti Indah Putri Pasaribu, Johni S Raziya Mutasim Reni Rahayu Rina Hati Rindi Atika Barokah Saepudin, Sudin Sarah Sifa Antadipura Solihin, Hanhan Hanfiah Sri Sutjiningtyas Zen Munawar