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All Journal TECHSI - Jurnal Teknik Informatika Journal of Advanced Computer Knowledge and Algorithms
Adek, Rizal Tjut
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Computer Science & IT Decision Sciences, Operations Research & Management Education Other

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Peningkatan Efisiensi Kecepatan dan Akurasi Rekapitulasi Faktur Pajak Dengan Optical Character Recognition Di Orbit Future Academy Rosnita, Lidya; Adek, Rizal Tjut
TECHSI - Jurnal Teknik Informatika Vol 14, No 2 (2023)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v14i2.14861

Abstract

Kemajuan ilmu pengetahuan terutama dalam ranah Artificial Intelligence (AI), telah membawa perubahan signifikan bagi kehidupan manusia. Di Indonesia, Orbit Future Academy (OFA) hadir sebagai lembaga pelatihan terbesar dalam bidang AI. Program AI 4 Jobs bertujuan untuk mempersiapkan individu dalam memasuki dunia kerja yang didominasi oleh teknologi AI. Program didesain untuk mengenalkan teknologi AI kepada pelajar guna menginspirasi pengembangan produk AI yang berdampak sosial. Berdasarkan pengetahuan tentang kemampuan AI, penulis menemukan suatu tantangan dalam kantor konsultan pajak yaitu pengolahan dokumen faktur pajak yang masih dilakukan secara manual, dimana hal tersebut dapat diatasi dengan kehadiran AI yang mampu mengolah data berulang dengan efisiensi tinggi. Untuk menyelesaikan tugas tersebut, sebuah website AI dibangun dengan memanfaatkan domain AI Computer Vision dan menggunakan model Optical Character Recognition (OCR) dengan library deep learning EasyOCR, Pytesseract, dan PDF Plumber. Tahapan pada pembuatan AI ini terdiri dari problem scoping, data acquisition, data exploration, modeling, evaluation, dan deployment. Pengujian dilakukan menggunakan dua jenis file faktur pajak (PDF dan JPG) yang masing-masing terdiri dari lima sampel faktur pajak, diujikan langsung pada website dengan tiga library yang berbeda. Hasil pengujian menunjukkan tingkat accuracy, recall, precision, dan f-score deteksi faktur pajak sebesar 100%. Pengujian PDF Faktur Pajak dengan PDF Plumber memiliki tingkat accuracy, recall, precision, dan f-score sebesar 100%. Pengujian gambar faktur pajak dengan Tesseract OCR memiliki tingkat accuracy sebesar 60%, recall 100%, precision 60% dan f-score 75%. Pengujian gambar faktur pajak dengan EasyOCR memiliki accuracy, recall, precision, dan f-score 100%.
Web-Based Expert System Application for Early Diagnosis of HIV/AIDS Using the Naive Bayes Method Aisah, Sri Purwani; Adek, Rizal Tjut; Yunizar, Zara
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 4 (2024): Journal of Advanced Computer Knowledge and Algorithms - October 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i4.17809

Abstract

AIDS is a progressive decrease in the immune system so that opportunistic infections can appear and end in death, therefore the author created an early diagnosis system for HIV/AIDS using the website-based Naïve Bayes algorithm. Naïve Bayes is a simple probability classification that can calculate all possibilities by combining a number of combinations and frequencies of a value from the database obtained.the results of the research obtainedThe naïve Bayes algorithm can be implemented for early diagnosis of HIV/AIDS by means that the existing HIV/AIDS symptom data is adjusted to the patient's symptom data processed using the naïve Bayes algorithm and then it is concluded what the symptoms are and What is the solution.
Web Application Firewall (WAF) Design to Detect and Anticipate Hacking in Web-Based Applications Annas, Muhammad; Adek, Rizal Tjut; Afrillia, Yesy
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 3 (2024): Journal of Advanced Computer Knowledge and Algorithms - July 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i3.16315

Abstract

Data leakage cases have recently been rampant in Indonesia. One of the biggest is the leak of user data from BPJS Health in 2021, this data leak is certainly very detrimental to users. This research develops a Web Application Firewall (WAF) using ModSecurity and OWASP Core Rule Set to protect web applications from SQL Injection and XSS attacks. The methodology involves analyzing the functionality of the existing system using UML, with DVWA and WordPress as test objects. Results showed 100% SQL Injection and 99.8% XSS attack detection, with logs recording attacks in real-time. The findings emphasize the importance of WAF integration with web application built-in security, making significant contributions in the design and implementation of resilient WAFs, as well as improving resilience against evolving cyber threats.
Co-Authors Aisah, Sri Purwani Annas, Muhammad Rosnita, Lidya Yesy Afrillia Yunizar, Zara