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Preventive Attendance Record using Photo from Mobile Phone and Printed Paper using CNN Wisesa, Bradika Almandin; Mahat Putri, Vivin; Faristasari, Evvin; Jasman Duli, Sirlus Andreanto; Agustin, Silvia
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1927

Abstract

Face-based attendance systems are increasingly popular for their ease of use, but they are susceptible to fraud, such as using photos or videos for unauthorized attendance. This study introduces a digital attendance system that combines facial recognition with liveness detection powered by Convolutional Neural Networks (CNN). Liveness verification is achieved by analyzing subtle movements and responses to ambient lighting. The dataset includes 30 facial images, encompassing both authentic and fraudulent samples. Testing demonstrates a facial recognition accuracy of 91.3% and effective spoofing detection in static and dynamic settings. This system provides a secure, fraud-resistant attendance solution ideal for educational and corporate settings. Further enhancements are suggested to improve performance across diverse facial expressions and lighting conditions.
RANCANG BANGUN PORTAL OTOMATIS MENGGUNAKAN PENGENALAN PLAT NOMOR MENGGUNAKAN CAMERA Setiawan Ardhana, Irgi; Pikkri, Muhammad; Febriansyah, Aan; Jasman Duli, Sirlus Andreanto
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 5 (2025): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Currently, every shopping center such as a mall must have good parking management, starting from recording incoming vehicles to recording exits based on certain rates charged to visitors. The increasing number of visitors coming to these parking areas will increase the busyness of parking operators. Therefore, a way is needed to help facilitate data collection of incoming and outgoing vehicles. Some devices used to facilitate parking data collection are by using computer devices, which have been widely applied for parking management both in shopping centers and offices. Data collection of vehicles entering and leaving the parking area, as well as calculations regarding the length of parking time and fees charged can be completed properly.
Perencanaan Sistem PLTS Off-Grid Untuk Kebutuhan Energi Listrik Pada Perkebunan Kelapa Sawit Peprizal, Peprizal; Maulana, Ade Putra; Jasman Duli, Sirlus Andreanto; Faristasari, Evvin; Hero Istoto, Enggar
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.346

Abstract

Palm oil plantations are one of the important sectors in the growth of the economy in Indonesia. One of the palm oil plantation areas in the Pasaman Barat Regency is being developed with an estimated land area of 100 hectares. However, due to the location of the land being far from settlements, there is currently no electricity supply that can be used for the operational needs of the land. This research provides a solution for the planning of an Off-Grid solar power plant (PLTS). The method used is a descriptive method with a quantitative research type. Based on the calculations, the number of PV panels obtained was 14 units and produces a total power of 2.397,89 W, SCC capacity calculation obtained 35 A, Battery capacity 12V/100Ah 2 units, and inverter 3 kW to produce AC voltage. The calculation of the Bill of Quantities (BoQ) for material needs amounts to Rp. 21.986.000. This result indicates that the planning of the solar power system is feasible for the long-term operational needs of the plantation, which only requires initial construction capital.
Developing an NLP-Based Chatbot for Waste Management Education in Sungailiat Wisesa, Bradika Almandin; Mahat Putri, Vivin; Faristasari, Evvin; Jasman Duli, Sirlus Andreanto; Lionza, Rahmat
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7522

Abstract

Penelitianinimemaparkanpengembangan dan evaluasi menyeluruh terhadap chatbot berbasis Natural Language Processing (NLP) yang dirancang untuk meningkatkan pendidikan pengelolaan sampah di Bank Sampah Sungailiat, Indonesia. Dengan mengintegrasikan logika fuzzy untuk pencocokan Pertanyaan yang Sering Diajukan (FAQ) secara akurat dan memanfaatkan model NLP berbasis transformer, DialoGPT-medium, chatbot inimemberikan respons yang relevan secara kontekstual terhadap pertanyaan pengguna mengenaioperasional bank sampah, termasuk pemilahan sampah, proses daur ulang, dan insentif ekonomi. Penelitian ini menangani masalah rendahnya kesadaran masyarakat terhadap praktik pengelolaan sampah yang tepat, yang menghambat partisipasi efektif dalam program daurulang. Sistem hibrida ini mencapai akurasi respons sebesar 85% dalam p engujian pengguna, divalidasi melalui analisis matriks konfusi yang mendetail. Temuan utama menunjukkan peningkatan signifikan dalam keterlibatan pengguna, retensi pengetahuan, dan kesadaran masyarakat, menunjukkan potensi chatbot sebagai solusi pendidikan lingkungan yang berbasis teknologi dan dapat diskalakan untuk konteks serupa di seluruh Indonesia