Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Informatics Management, Engineering and Information System Journal
Fikri Irawan Abdurahman
STMIK Mardira Indonesia, Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Information System of Office Stationery Inventory PT. Jagad Kreatif Nusantara Dyah Pitaloka Permata Hadi; Debi Irawan; En Tay; Feri Alpiyasin; Fikri Irawan Abdurahman
Informatics Management, Engineering and Information System Journal Vol. 1 No. 1 (2023): Infotmatics Management, Engineering, and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/imeisj.v1i1.212

Abstract

PT. Jagad Kreatif Nusantara uses the Microsoft Excel program to store inventory for office stationery, such as demand, expenditure, and stock data. That is why there are problems at PT. Jagad Kreatif Nusantara, namely difficulties in finding demand and expenditure data, difficulties in identifying initial stock, preparing reports that should be presented, and then compiling the appropriate information for the needs of inventory of ATK goods.With the development of this Information System application, it is hoped that it can solve these problems. Besides that, the existence of a computerized system in presenting complete information and being able to access data and information quickly in terms of data processing, efficient in terms of personnel, and accurate in terms of information will make work easier.
A Comprehensive Analysis Of Student Feedback On The Curriculum, Lecturers, And Facilities At STMIK Mardira Indonesia Using A Statistical Approach And Machine Learning Natural Language Processing Dwi Winda Fitrika; Yoamnius Untung; Yusi Roslina Suciati; Fikri Irawan Abdurahman
Informatics Management, Engineering and Information System Journal Vol. 4 No. 1 (2026): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Enhancing the quality of higher education necessitates a thorough review of student feedback. Nonetheless, STMIK Mardira Indonesia continues to handle input manually, which challenges its ability to manage substantial amounts of both quantitative and qualitative data effectively. As a result, the institution fails to draw on numerous useful insights from student feedback. This research aims to develop an integrated system that autonomously analyzes student input using statistical and machine-learning methods. The technology displays outcomes via an interactive dashboard to facilitate data-driven decision-making for management. The research employs a hybrid technique, integrating CRISP-DM for data analysis and Machine Learning with the Prototype method for system development. The data analysis encompasses descriptive statistics for quantitative data (Likert scale) and Natural Language Processing (NLP) employing a Linear SVM model for sentiment classification of qualitative data (comments). The research yields a web-based system prototype that effectively consolidates the collection and analysis of student input on the curriculum, instructors, and facilities. The Linear SVM sentiment classification model has outstanding performance, with an accuracy of 95.2% on the test dataset. Moreover, the interactive dashboard effectively illustrates these outcomes through dynamic filtering. Consequently, the integration of statistical and Machine Learning methodologies successfully converts raw feedback into organized insights, equipping STMIK Mardira Indonesia with a reliable instrument to sustainably improve educational service quality.
Restaurant Tax Calculation Application and Service Fees for Tax Reporting: Study At One of The Restaurants in Cimahi Irma Rohmatika; Miranti Andhita; Debi Irawan; Farhanah Fitria M; Fikri Irawan Abdurahman
Informatics Management, Engineering and Information System Journal Vol. 2 No. 1 (2024): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Restaurant levy is a government or city-managed levy that can augment the local revenue of Cimahi City. Certain restaurants frequently impose an additional service fee. One of the restaurants in Cimahi still uses a semi-computerized or semi-EDP (Electrical Data Processing) system, which results in inefficient calculation of the Restaurant Tax and Service Fee and slow reporting to the Local Government. Descriptive research is a method that focuses on providing a detailed and systematic analysis of specific phenomena or qualities. The system development methodology employed is object-oriented analysis and design (OOAD). The Nikmat Sunda Restaurant program, accessed through the web, can carry out automated calculations and act as a data resource to enhance time efficiency. Hence, the Restaurant Tax and Service Fee calculation can serve as a foundation for generating Restaurant Tax reports.
Co-Authors Debi Irawan Dwi Winda Fitrika Dyah Pitaloka Permata Hadi En Tay Farhanah Fitria M Feri Alpiyasin Irma Rohmatika Miranti Andhita Yoamnius Untung Yusi Roslina Suciati