Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
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This Author published in this journals
All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis West Science Social and Humanities Studies
Amalia Hanifa
Politeknik LP3I
Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Aplikasi Sistem Pakar Mendiagnosa Penyakit Degenerasi Macula Menggunakan Metode Certainty Factor Berbasis Web Abrar Hadi; Amalia Hanifa
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 2 (2023): April 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i2.795

Abstract

An expert system is a system that seeks to adopt human knowledge into computers that are designed to represent the ability to solve problems like an expert. This system helps all people solve their problems or just look for quality information that can only be obtained with a dedicated expert. This study describes how the Expert System diagnoses Macular Degeneration using the Certainty Factor method. This method obtained the possible disturbances value experienced by the community. This Expert System program is implemented in the PHP programming language where MySQL as the database. As the result, this system is easy to use (user-friendly) and easy to develop and useful for those who want to know about Macular Degeneration.
Analysis of the Use of IoT in Attendance Management and Productivity Monitoring on Employee Performance and Operational Efficiency in Central Java Manufacturing Industry Budi Sulistiyo Nugroho; M. Syahputra; Amalia Hanifa; Ihsan Werleam; Chevy Herli Sumerli A.
West Science Social and Humanities Studies Vol. 2 No. 10 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i10.1359

Abstract

This study investigates the impact of Internet of Things (IoT) usage in attendance management and productivity monitoring on employee performance and operational efficiency in the manufacturing industry of Central Java. Using a quantitative approach, data were collected from 270 respondents and analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that IoT-driven systems in both attendance management and productivity monitoring have a significant positive effect on employee performance and operational efficiency. Specifically, IoT-enabled attendance management improves workforce accountability and discipline, while productivity monitoring enhances real-time feedback and workflow optimization. These findings highlight the critical role of IoT technology in transforming workforce and operational management in manufacturing, contributing to improved performance and efficiency. The study provides valuable insights for decision-makers in the manufacturing industry regarding the adoption of IoT technologies to enhance competitiveness and operational outcomes.
Co-Authors Abrar Hadi Budi Sulistiyo Nugroho Chevy Herli Sumerli Ihsan Werleam M. Syahputra