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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) PROtek : Jurnal Ilmiah Teknik Elektro Indonesian Journal of Artificial Intelligence and Data Mining Patria Artha Technological Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal Teknologi Informasi dan Pendidikan Jurnal Teknik Elektro dan Komputasi (ELKOM) Respati Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Endri, Jon
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Implementation of Fingerprint Biometrics on Smart Door Entrance Access Integrated with Internet of Things-based PINs Handini, Wulan Tri; Endri, Jon; Salamah, Irma
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.31738

Abstract

Security is something that must often be ignored by most people and think it is safe, but it turns out that someone can still lose their valuables. In this final project, we will design an Internet of Things (IoT)-based smart door access tool that uses a fingerprint and pin password using the Optical Scanner Sensor method. The purpose of making and designing a smart door tool based on the Internet of Things (IoT) is one of them to apply the optical method as a method used to recognize fingerprint biometric identification. By using a smartphone (android) as a controller using the NodeMCU contained in the ESP2866 WiFi module via an internet connection connected to an application made with MIT App Inventor. In the application of fingerprint sensors using the optical method, the scanning process is obtained through finger scanning based on the effect of light reflection that occurs on the optical sensor on the fingerprint.   So as to produce digital image retrieval on identified fingerprints. The communication that uses the fingerprint sensor and Arduino uno as a data processing unit uses serial data communication. When the command has run according to its function, the results of the data obtained enter in realtime at the data processing place.
Interactive Real-Time Weight Management Platform Using Machine Learning Methods Haksa, Febrina Rosadah; Endri, Jon; Aryanti, Aryanti
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.36874

Abstract

This research develops an interactive and real-time web-based weight management platform that integrates machine learning methods using decision tree algorithms to detect the risk of weight-related diseases. The platform features an automatic Body Mass Index (BMI) calculator as well as a risk prediction system for diseases such as obesity and cardiovascular disorders. The data used includes the user's weight, height, eating habits, and physical activity level parameters collected through a live user interface. Based on the data, a decision tree algorithm is used to classify the health risk level and provide personalized recommendations to the user to help with preventive weight management. Initial testing showed that the decision tree model applied was able to achieve a prediction accuracy rate of 97%, demonstrating reliable performance in identifying health risks based on lifestyle data. This platform is expected to be an accessible technology solution to increase public awareness of the importance of weight management and disease prevention independently.
Co-Authors Ade Silvia Handayani Ahmad Taqwa Aryanti Aryanti Ciksadan, Ciksadan Difa, M Kelvin Haksa, Febrina Rosadah Handini, Wulan Tri Irma Salamah Lindawati, L Putra, Muhammad Rizki Ganda Qobla, M. Marjuan Rahmaniar, Fadhila Desti Rahmat Darmawan, Rahmat Salsabila, Dinah Sarjana Sarjana Setiawan, Muhammad Imam Sugiyanto, Aan Suroso Suroso Wardani, Lidona Kusuma Zarkasi, Muhammad Irvan