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Implementation of Automated Attendance System Using Fingerprint with Wemos D1 R32 and WhatsApp Notifications Permadi, Bambang; Ujianto, Erik Iman Heri
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2836

Abstract

The manual attendance system often leads to inefficiencies, such as input errors, delayed data recap, and slow delivery of information to parents. This study aims to design and implement an automated attendance system based on the Internet of Things (IoT) using the AS608 fingerprint sensor and Wemos D1 R32 microcontroller integrated with attendance notifications via WhatsApp. The research method includes the stages of design, implementation, and testing using the black box approach and system performance evaluation. The results show that the system functions properly, successfully reads fingerprints, displays attendance information on the LCD, and sends WhatsApp notifications with an average response time of under 3 seconds. Black box testing confirmed that all main features, such as login, registration, fingerprint verification, and data export, work as expected. The sensor test results indicate a very high success rate under normal finger conditions but decreased accuracy when the finger is dusty, wet, or wrinkled. Overall, this system improves the efficiency, accuracy, and transparency of the student attendance process and is ready for implementation in a school environment.
The Influence of Price and Product Quality on Consumer Purchase Decisions for Skincare Products Novitasari, Sela; Permadi, Bambang
Journal of Business and Economics Research (JBE) Vol 7 No 1 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v7i1.9334

Abstract

This study aims to analyze the influence of price and product quality on consumer purchase decisions of skincare products. The research method used is a quantitative approach with data collection techniques through the distribution of questionnaires to respondents. The population in this study is all consumers who have bought and used skincare products, with sample determination using purposive sampling techniques. The number of samples used was 100 respondents. The data analysis techniques used include validity test, reliability test, classical assumption test, multiple linear regression analysis, partial test (t), simultaneous test (F), and determination coefficient (R²) with the help of statistical software. The results of the analysis show that price has a significant influence on the purchase decision of Skincare Products, as well as the quality o f the product which also has a significant effect. Together, price and product quality show a significant influence on purchasing decisions. A determination coefficient value (R²) of 0.995 or 99.5% indicates that the price and product quality variables are able to explain the purchase decision by 99.5%, while the remaining 0.5% is influenced by other factors not discussed in this study.