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All Journal ILTEK : Jurnal Teknologi Community Development Journal: Jurnal Pengabdian Masyarakat Journal of System and Computer Engineering Jurnal Pendidikan dan Teknologi Indonesia Indonesian Community Journal Jurnal Multidisiplin Madani (MUDIMA) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknologi dan Komputer ILTEK : Jurnal Teknologi JIKTIF
Perdana, Ayu Lestari
Universitas Islam Makassar
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

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Journal : Journal of System and Computer Engineering

 1 
Facial Expression Recognition of Al-Qur'an Memorization Students Using Convolutional Neural Network Perdana, Ayu Lestari; -, Suharni -
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1559

Abstract

Facial expression recognition technology has advanced significantly and has become an intriguing topic of study. This research focuses on the facial expressions of Al-Qur’an memorization students, which naturally reveal various aspects of their engagement, understanding, and emotional barriers about the verses being memorized. The issue is that facial expression recognition still lacks optimal accuracy, and the need for a better algorithmic model to improve accuracy is evident. Therefore, an intelligent computing system is required to address this problem. This study aims to enhance the accuracy of facial expression recognition in Al-Qur’an memorization students using the Convolutional Neural Network (CNN) method, classifying facial expressions such as happy, neutral, and tired based on collected facial image data, achieving improved accuracy. The first stage involves capturing image data via CCTV, followed by preprocessing, training the CNN model, result analysis, and model evaluation. By using the CNN method to recognize the facial expressions of Al-Qur’an memorization students, a high accuracy of 84% was achieved with a loss value of 14.9.
Prototype Alat Monitoring Dan Kontrol Penyiraman Tanaman Cabai Berbasis Internet of Things (IoT) Dan Android Martani, Ahmad; Perdana, Ayu Lestari; Anugrah, Muh
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1601

Abstract

Chili is a very important vegetable commodity in everyday life. The purpose of the researcher is to design a prototype of a chili plant watering monitoring and control tool based on the Internet of Things (IoT) and Blynk to make it easier for chili farmers to monitor and control the watering of chili plants remotely. The research method uses Research and Development (R&D), which aims to produce certain products and test their effectiveness. The results of this tool prototype use acrylic as a container to unite various tool components and other supporting components. The soil moisture sensor is used to detect soil moisture. The DHT11 sensor is used to detect air humidity. The DS 18B20 sensor is used to detect soil temperature. The PIR Motion sensor is used to detect objects. Information about the measurement results on the sensor will be displayed on the LCD screen and the Blynk application. DC water pump is used to remove water from the container and spray it on the plants. The test results of the Prototype concluded that the process of watering is automatic when the measurement results of the soil moisture Threshold are SP Low 40%, SP High 60%, and Temperature High 31o C, meaning that the watering process occurs when the humidity is <40% and the soil temperature <31oC and stops when the humidity is > 60%.
Co-Authors -, Suharni - A.Sya Jorghie Caesar Ahmad Hanafie Ahmad Martani Aldiansyah, Tomi Alfarizi, Muhammad Amir, Muh Yusuf Ananda Raka Virgiany Andrie Andrie Anugrah, Muh Ardiansyah P, Muh B, Herlinah Dharti Aksa, Amaliah Chintami Dian Ardianti Dina Munawar Dinar Djumati, Sudarman Fernandy, Handy Haris Tehuayo Haris Tehuayo Hasanuddin Haslindah, Andi Huwae, Brian Imran, Al Jasmin, ST. Nurhajar M Ashar Yanas Martani, Ahmad Muhammad Hariadi Nasir Nesra, Nesra Ruri Rahmawati Ibrahim Senal, Senal Suci Fatmawati Suharni Suharni Suharni Sukirman Syarifuddin Baco Syarifuddin, Rizal Tehuayo, Haris Wahyudi, Robi