Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Journal of Engineering, Technology, and Applied Science (JETAS)
Sanusi Majid
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Determination of Employee Bonuses Using the Analytic Network Process Method at PT. Global Harvest Precision Engineering Suliza Apandi; Okta Veza; Sanusi Majid; Pratiwi; Ismail Yusuf Panessai
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 2 No 1 (2020)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0201.94

Abstract

Penelitian ini bertujuan merancang sistem pendukung keputusan dalam menentukan karyawan penerima bonus pada PT. Global Harvest Precision Engineering yang beralamat di lot 21 citra buana III Batam Centre Kepulauan Riau. Dikarenakan tidak adanya sistem pendukung keputusan yang membantu dalam menentukan karyawan penerima bonus, sehingga dibutuhkannya perancangan sistem pendukung keputusan. Data pada sistem pendukung keputusan penetuan bonus karyawan ini diperoleh dari data karyawan dari bulan januari sampai dengan Juni 2019, yang terdiri dari nama, tempat tanggal lahir, alamat dan jenis kelamin beserta data absen perbulan. Model sistem yang digunakan Data Flow Diagram (DFD). Sistem pendukung keputusan dirancang berbasis web mobile dengan menggunakan bahasa pemograman Hypertext Preprocessor (PHP) dan database MySQL. Teknik Penelitian kuantitatif, dengan mengumpulkan data-data hasil perhitungan. Penelitian menghasilkan aplikasi sistem pendukung keputusan berbasis web mobile dalam menentukan karyawan penerima bonus. Pengujian dalam aplikasi menggunakan blackbox. Determination of Employee Bonuses Using the Analytic Network Process Method at PT. Global Harvest Precision Engineering Abstract: This study aims to design a decision support system in determining employee bonus recipients at PT. Global Harvest Precision Engineering which is located at lot 21 Citra Buana III Batam Center Riau Islands. Due to the absence of a decision support system that helps in determining the bonus employee, a decision support system design is needed. Data on the decision support system for determining employee bonuses is obtained from employee data from January to June 2019, which consists of name, place of birth date, address and gender along with monthly absence data. The system model used is Data Flow Diagrams (DFD). Decision support system is designed based on mobile web using the Hypertext Preprocessor (PHP) programming language and MySQL database. Quantitative research techniques, by collecting data from calculations. The research resulted in the application of a web-based mobile decision support system in determining employee bonus recipients. In-app testing uses a blackbox. Keywords: Analytic Network Process, Decision Support System, Mobile Web.
Implementing a Dashboard for Monitoring Sales Transaction Data Maria Olva; Ririt Dwiputri Permatasari; Sanusi Majid; Pratiwi Syair; Afdal Suganda
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 3 No 1 (2021)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0301.188

Abstract

Penelitian ini bertujuan untuk mengimplementasikan dasbor pada pemantauan data transaksi penjualan di PT. Prima Labeling. Data pada sistem diperoleh dari hasil aliran informasi pengolahan data penjualan dan aliran data informasi pemanfaatan dasbor pada pemantauan data transaksi transaksi penjualan pada PT. Prima Labeling. Model sistem yang digunakan adalah UML yang mana pengembangan sistem penelitian menggunakan metode OOAD. Sistem informasi dirancang berbasis situs web dengan menggunakan bahasa pemrograman PHP dan database MySQL. Teknik penelitian kualitatif, dengan mengumpulkan data-data dan informasi secara deskriptif. Hasil penelitian ini pengguna dapat mengelola transaksi dengan mudah sekaligus dapat melakukan memantau transaksi penjualan pada waktu yang sebenarnya sehingga mempermudah proses pengelolaan data dan transaksi penjualan pada PT. Prima Labeling. Implementing a Dashboard for Monitoring Sales Transaction Data Abstract: Objective of the research is to monitoring sales transaction data at PT. Prima Labeling by implemented a dashboard. Data on the system is obtained from the results of the sales data processing information flow and dashboard utilization information of data flow monitoring sales transaction data at PT. Prima Labeling. System model used is UML where the research system development uses the OOAD method. Information system is designed based on a website using the PHP programming language and MySQL database. Qualitative research techniques is applied by collecting data and information descriptively. Results of this research users can easily manage transactions as well as monitor sales transactions in real time, thus simplifying the process of data management and sales transactions at PT. Prima Labeling. Keywords: Dashboard, Monitoring, OOAD, Sales Transactions, UML.
Co-Authors Afdal Suganda Ismail Yusuf Panessai Maria Olva Okta Veza Pratiwi Pratiwi Syair Ririt Dwiputri Permatasari Suliza Apandi