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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Mathematics and Applied Statistics
Fara Triadi
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Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering

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Designing a Web Application for Recognizing Past Learning Using the Laravel Framework Jaya, Arsan Kumala; Hanif, Abdullah; Triadi, Fara; Biabdillah, Fajerin
Journal of Mathematics and Applied Statistics Vol. 2 No. 2 (2024): December 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i2.239

Abstract

This study aims to provide information on the application design process using the Laravel framework. This study aims to design a web application that can help higher education institutions manage students who take prior learning recognition (RPL) classes effectively and efficiently. The problem often faced by universities is the difficulty in recording the formal/non-formal education history of RPL students. This application is expected to provide a solution by providing features such as recording education history, training history, conference history, award history, organizational history, and employment history. The system development method used in the design is the System Development Life Cycle (SDLC) by utilizing the Laravel framework as a framework for the system development process. The expected results of this study are a web application that is user-friendly, reliable, and able to increase the efficiency of student data collection in universities.
Identification of Speech Recognition Using K-Nearest Neighbor Method Hanif, Abdullah; Triadi, Fara; Jaya, Arsan Kumala; Hartanto, Subhan; Basir, Azhar
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.56699

Abstract

Speech is a part of the human that has unique characteristics so that it can be distinguished from one person with someone else. Speech delivered, has a variety of information so that in its application it can be used to carry out voice commands using speech. In signal processing, Mel Frequency Cepstrum Coefficient (MFCC) is a method used for feature extraction. In this study, MFCC is used as a feature extraction method using Matlab R2017a and K-Nearest Neighbor (KNN) software used to identify and classify voice commands spoken by the speaker using speech pattern patterns obtained from the MFCC. This study uses 10 training data for each voice command word consisting of open, close, message and gallery, and 5 test data for each voice command word. Voice data is used using different words and different speakers. This research yields an accuracy level of 60% in voice Buka, 60% in voice Tutup, 60% in voice Pesan and 65% in voice Galeri.
RANCANG BANGUN ALAT SISTEM MANAJEMEN GUDANG BERBASIS QR CODE DAN BLOCKCHAIN Risqy Pradana Putra; Fara Triadi; Ahmad Rofiq Hakim
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10887

Abstract

Perkembangan teknologi informasi mendorong penerapan sistem yang lebih efisien dan transparan dalam manajemen gudang. Penelitian ini bertujuan merancang sistem manajemen gudang berbasis QR Code dan Blockchain untuk meningkatkan akurasi, keamanan, dan efisiensi pelacakan barang. Sistem mengintegrasikan mikrokontroler ESP32, modul GM65 barcode scanner, printer thermal, dan UPS sebagai sumber daya mandiri. QR Code digunakan untuk identifikasi dan pelacakan barang secara real-time, sedangkan Blockchain memastikan data transaksi tersimpan secara aman, transparan, dan tidak dapat diubah. Penelitian menggunakan metode Waterfall yang meliputi analisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Hasil pengujian menunjukkan bahwa sistem mampu melakukan pencatatan, pemindaian, dan pembaruan data stok secara real-time dengan tingkat akurasi yang tinggi. Sistem ini memberikan solusi yang efektif untuk meningkatkan efisiensi operasional, keamanan data, dan transparansi dalam pengelolaan gudang berbasis Internet of Things (IoT).
Co-Authors Ahmad Rofiq Hakim Arsan Kumala Jaya Basir, Azhar Fajerin Biabdillah Hanif, Abdullah Hartanto, Subhan Risqy Pradana Putra