Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
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This Author published in this journals
All Journal Informatics Management, Engineering and Information System Journal Journal of Economics, Management, and Entrepreneurship Majalah Bisnis & IPTEK
Muhammad Syukri
STMIK Mardira Indonesia, Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences Other

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Tax Data Processing System: Case Study Shibgah Islam Nusantara Amanah Foundation Alya Nur Riski; Muhammad Syukri; Oktavia Oktavia; Rini Risanti; Asep Suherman
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.v1i1.222

Abstract

The expense information handling framework at the Shibgah Islam Nusantara Amanah Foundation is as yet done physically, according to the ongoing framework, information filing and duty information recovery have not been completed as expected and on time, where away it is constantly put away haphazardly, causing harm or harm. lost information, so looking for information for data requirements of benefactors consumes most of the day since they need to every year find and match documents. This framework is broke down and planned utilizing spellbinding investigation research strategies and OOAD (Object Oriented Analysis Design) framework improvement methods. The programming language utilized by this framework is PHP with XAMPP web server and PHPMyAdmin information base. This expense information handling data framework that has been made can assist establishment with staffing to find, and recap charge information that is given consequently and can decrease the degree of document harm and blunders in recording charge reports.
Design Of E-Wallet And Loyalty Application Using Aes Model On Coffee Terminal Hafiza Siraj Abshar; Heri Wahyudi; Asep Sudrajat; Muhammad Syukri
Majalah Bisnis & IPTEK Vol. 18 No. 1 (2025): Majalah Bisnis & IPTEK
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/rq2hg108

Abstract

This research seeks to tackle the issues of transaction efficiency, payment convenience, transaction security, and minimal consumer involvement encountered by "Terminal Coffee" Coffee Shop. These concerns stem from the sluggish traditional payment system, the lack of ease in transactions, and the need for enhanced transaction security. Furthermore, insufficient client interaction is a significant issue. This research employs application development utilizing Android Studio, JavaScript, Java, and Kotlin. This application seeks to enhance transaction efficiency by facilitating quicker and more convenient payments for Terminal Coffee patrons. The app will use enhanced transaction security mechanisms to safeguard client data and mitigate fraud. The research will focus on enhancing customer engagement through the development of an interactive and compelling loyalty program. The app will enable customers to engage with the coffee shop in a more personalized way, enhancing their overall experience through technology. The research will deliver a comprehensive financial management system that facilitates clients in overseeing their finances about purchases and expenditures at Terminal Coffee. This program will enhance spending visibility, facilitate financial planning, and optimize client financial management efficiency. This research is anticipated to significantly enhance Terminal Coffee's transaction efficiency, security, consumer engagement, and financial management. Moreover, the built application enhances customer experience and facilitates the growth of Terminal Coffee's business.
Design Of Automatic Home Door Security Using Face Recognition with A Convolutional Neural Network (CNN) Model Mira Wati; Heri Wahyudi; Muhammad Syukri; Rizal Parghani
Journal of Economics, Management, and Entrepreneurship Vol. 3 No. 2 (2025): Journal of Economics, Management, and Entrepreneurship
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/jeme.v3i2.02

Abstract

In Indonesia, the majority of residences continue to utilise traditional keys for door access.  Keys are essential for house security; nonetheless, numerous criminals can circumvent this protection.  A viable option to avert similar tragedies is to substitute the door security system with facial recognition technology.  This security system employs CNN programming and an Arduino application.  It utilises an ESP32 to autonomously open and close the door and engage a buzzer upon detecting a potential intruder.  This research examines facial recognition technology utilised for door unlocking.  The device exhibits a success rate of 71.4%, evaluated under various situations across five trials for each object.  Further upgrades to the gadget and system developed from this research can be achieved by incorporating more features and tools for detecting low light levels in a room.  Furthermore, the system might be engineered to detect from considerable distances, such as many kilometres away.
Implementation Of the Decision Tree Algorithm in Predicting Delayed Water Bill Payments in A Housing Residence in Bandung Rahmat Ibrahim; Jajat Sudrajat; Muhammad Syukri; Aisah Nur Endah Sari
Journal of Economics, Management, and Entrepreneurship Vol. 4 No. 1 (2026): Journal of Economics, Management, and Entrepreneurship
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/jeme.v4i1.02

Abstract

The provision of clean water is a fundamental necessity that depends significantly on consumers' prompt payment of bills for its operational sustainability. The administration of a housing complex in Bandung is experiencing significant difficulties with overdue payments, which are affecting its financial and operational stability. The existing strategy for managing delays is reactive, rendering it ineffective at preventing debt accumulation. This research proposes adopting the Decision Tree algorithm as a predictive method to address this issue. This research employs a quantitative methodology that uses predictive techniques, drawing on previous secondary data on customer water bill payments. The technique utilized is CRISP-DM, encompassing phases of business understanding, data understanding, data preparation, modeling, assessment, and implementation. In the data preparation step, missing values are resolved, feature engineering is performed (calculating average monthly payments), irrelevant columns are eliminated, and categorical variables are encoded. The dataset is subsequently split into 80% for training and 20% for testing. The Decision Tree Classifier model is constructed and trained utilizing the processed training data. Model performance is assessed using Accuracy, Precision, Recall, and F1-Score measures, along with Confusion Matrix analysis and feature significance evaluation. The testing results indicate that the model achieves 78% accuracy in forecasting client payment status (On Time or Late). Nonetheless, the model continues to yield satisfactory outcomes as a preliminary alert mechanism for possible delays. This study demonstrates that machine learning can enhance billing efficiency and customer management within the housing complex in Bandung.
Co-Authors Alya Nur Riski Asep Sudrajat Asep Suherman Hafiza Siraj Abshar Heri Wahyudi Jajat sudrajat Mira Wati Oktavia Oktavia Rahmat Ibrahim Rini Risanti Rizal Parghani Sari, Aisah Nur Endah