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All Journal Humanika : Kajian Ilmiah Mata Kuliah Umum Paradigma : Journal of Science, Religion and Culture Studies Jurnal Al Bayan: Jurnal Jurusan Pendidikan Bahasa Arab International Journal of Nusantara Islam ARABIYAT Jurnal Pendidikan Islam Arabi : Journal of Arabic Studies Arabiyatuna : Jurnal Bahasa Arab JET (Journal of Electrical Technology) Jurnal At-Tibyan: Jurnal Ilmu Alqur’an dan Tafsir Ijaz Arabi Journal of Arabic Learning Al Mi’yar: Jurnal Ilmiah Pembelajaran Bahasa Arab dan Kebahasaaraban Jurnal Teknologi Sistem Informasi dan Aplikasi Khazanah: Jurnal Studi Islam dan Humaniora JEES: Journal of English Educational Study JURNAL ILMIAH M-PROGRESS Jurnal Ilmu Manajemen dan Akuntansi Terapan International Journal of Humanities, Management, and Social Science (IJ-HuMaSS) International Journal of Artificial Intelligence International Journal of Recent Technology and Applied Science (IJORTAS) International Journal of Law and Public Policy (IJLAPP) Journal of Engineering, Technology, and Applied Science (JETAS) Journal of Humanities and Social Science (JHASS) Al-Fathin: Jurnal Bahasa dan Sastra Arab Spektrum Sipil Sustainable: Jurnal Kajian Mutu Pendidikan Jurnal Ilmiah MADIYA: Masyarakat Mandiri Berkarya Jurnal Sains dan Teknologi Jurnal Masyarakat Indonesia Journal of Mathematics and Technology (MATECH) Journal of Language and Literature Studies JUDGE: Jurnal Hukum Electronic Journal of Education, Social Economics and Technology Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Teknologi dan Vokasi Kapuas ARKHAS: Journal of Arabic Language Teaching International Journal of Nusantara Islam Journal of Finance and Islamic Banking EDUKASI Ta'allum: Jurnal Pendidikan Islam Jurnal Pendidikan Islam
Yani, Achmad
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Journal : International Journal of Artificial Intelligence

 1 
Tele Alert System Based on ECG Signal Using Virtual Instruments Environment Saif Al-din, Saif, M. N.; Mahmood, Sawsan. D; Abdulbaqi, Azmi Shawkat; Panessai, Ismail Yusuf; Yani, Achmad; Manaf, Abdi; Iksan, Nur
International Journal of Artificial Intelligence Vol 9 No 2: December 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0902.464

Abstract

This manuscript addresses the design and implementation of a portable PC-based ECG device. Three electrodes are often employed for ECG recording, with two of them being connected to the patient's chest via the ECG amplifiers' differential inputs. Therefore, every stage of the design takes into account factors like low cost, low power consumption, portability, and simplicity of usage. In this system, the ATMEL Company's ATMEGA 328 low-power microcontroller is investigated for signal processing and delivering digital format to a PC through a serial connection, where it is then displayed utilizing LabVIEWTM SP1 software ( The released version in Feb. 2022). A portable tool that can capture, amplify, filter, and analyze biological signals is this one ECG. The intended device's target beneficiary was the intensive care unit.
Expert System for Diagnosis Coronavirus Disease Elmie Dansy, Sholestica; Yani, Achmad; Manaf, Abdi; Abdulbaqi, Azmi Shawkat; Iksan, Nur
International Journal of Artificial Intelligence Vol 10 No 1: June 2023
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01001.537

Abstract

The latest issue of the disease called COVID-19 has become famous all over the world. Hence, through this problem, it found that this disease have the same symptom with other diseases such as Influenza and also normal flu. Detecting diseases at early stage can enable to overcome and treat them appropriately. This is because many of peoples does not know and does not aware of the symptom of this various diseases. In an effort to address those problems, an Expert System for Corona Earlier Detection has been proposed to help the doctors to detect those various diseases in human body. Through this research, the researcher will held an interview with the doctors to collect data and information about those diseases’ symptoms and also search for the related articles to make sure this research going successfully. The method that will be used in this research is Certainty Factor. To conclude, this system will be useful to the healthcare department as it will give earlier detection when the patient are positively exposed to the disease that is known by Corona.
Drone Based Fire Detection System Based on Convolutional Neural Network Rahman, Hanif Ikmal; Saad, Ahmad Fadli; Yani, Achmad
International Journal of Artificial Intelligence Vol 11 No 1: June 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01101.669

Abstract

Open fires are happening more and more throughout Malaysia. It is either intentional or accidental fire. The most dangerous is an accidental fire because it may not be detected by anyone until it becomes large. Detecting a fire is not an easy task. People may not see an ongoing fire because it may be too far away, or the fire may be too small. The objective of this project is to build a fire detection system. Fire detecting systems are developed to ensure more accurate fire detection. To ensure accurate fire detection, this project uses a waterfall methodology. This project uses drones as a tool to help with fire detection. Using a Convolutional Neural Network (CNN), this project implements the use of the PyTorch framework in detecting fires. The testing was done with a distance of 2 meters from the fire and a height of 2 meter from the ground. Edited images were used and uploaded to the system. Accuracy results of 80% can ensure accurate fire detection. To evaluate the system, edited fire images are used to ensure the accuracy of the system. Therefore, CNN is a good tool for detecting fires.
Development of a Student Expense Tracking System Using Optical Character Recognition Shaharudin, Muhammad Hairil; Saad, Ahmad Fadli; Yani, Achmad; Manaf, Abdi
International Journal of Artificial Intelligence Vol 12 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01201.741

Abstract

Personal financial literacy is a vital skill for university students, yet many struggle to track their daily expenses due to time constraints and low awareness. This study aims to design and develop a web-based Student Expense Tracking System using Optical Character Recognition (OCR) technology to address this issue. The system allows users to automatically extract and record spending information from receipt images, reducing manual input and improving financial awareness. The development followed the Web Development Life Cycle (WDLC) using the Waterfall model, comprising planning, design, development, and testing phases. Visual Studio Code, Python 3, and Tesseract OCR were employed in system implementation. Wireframes and mockups guided the interface design, while backend development focused on data storage and OCR integration. Functionality testing showed a 100% pass rate across ten scenarios, validating the system's performance in image processing, budget management, and spending visualization. Usability testing using the Post-Study System Usability Questionnaire (PSSUQ) with 30 participants yielded a mean score of 4.45 out of 5, indicating a high level of user satisfaction. The system scored highest on ease of use (4.6), visual design (4.7), and recommendation likelihood (4.8), confirming its intuitive interface and appeal. Slightly lower scores in user confidence (4.1) and data organization (4.2) point to opportunities for interface refinement and improved user guidance. This research concludes that OCR can effectively support financial tracking for students. Future enhancements with NLP and machine learning are recommended to automate expense categorization and improve analytical capabilities.
Student Expense Tracking System Using OCR Saad, Ahmad Fadli; Shaharudin, Muhammad Hairil; Yani, Achmad; Manaf, Abdi; Ismail, Andi Almeira Zocha; Ismail, Andi Regina Acacia
International Journal of Artificial Intelligence Vol 12 No 2: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01202.929

Abstract

Nowadays student schedules are packed with their academic and curricular activities. Therefore, Students are no longer tracking their expenses because it is so hard to keep track with their expenses when they a have busy life. The aim of this research is to help students easily track their expenses by automating the process of extracting information from receipts. This research presents a student tracking expenses system using Optical Character Recognition (OCR) technology. The method that was used to develop the system was Website Development Life Cycle (WDLC). The system also uses Image Processing that implements OCR into the system. The system has been tested with a set of sample receipts, and the results show that it is able to accurately extract the relevant information with a high level of efficiency. The initial of this research involved designing the system, which was achieved through the creation of a detailed mockup and wireframe to establish a clear vision for its design. Then, it focused on developing the system, incorporating OCR technology to extract text from receipts. Thorough functional testing ensured that all system features, including user identification, image upload and OCR processing, expenditure management, budget setting, and data visualization, functioned as intended. The system offers users accurate and dependable capabilities for spending pattern analysis, budget management, and expense monitoring. Furthermore, the usability testing was conducted using the Post-Study System Usability Questionnaire (PSSUQ) from 30 students. The mean score of the System Usefulness, Information Quality and Overall Satisfaction is above 4 which indicates that it was appreciated by the students or respondents. Therefore, this system can be a valuable tool for students to manage their finances and make informed decisions about their spending.
Co-Authors AA Sudharmawan, AA Abd Arif, Harleny Abdiguno, Panggih Abdul Basid Abdul Kadir Abdul Latiff, Muhammad Nazirul Mubin Abdulbaqi, Azmi Shawkat Abdulbaqie, Azmi Shawkat Achmad Sultoni Ahmad Munjin Nasih Ahmad Zaki, Nadia Akma Ali, Toni Saidun Amir, Bakhrum Ani Susilawati Antoni Antoni Aprijon Efendi Arifa, Fatwa Astini, Yuli Azizi , Muhammad Arief Bahtiar, Ihwan Rahman Basar, Abdul Rohmad binti Abdul Rahman, Mariam binti Hj Ahim, Hjh. Rasinah binti Hj Dollah, Hjh Sri Rahayu Nurjanah binti Hj Timbang, Artini binti Hj Yahya, Hjh Masuriyati binti Hj Yahya, Hjh. Sarinah Darodjat, Darodjat Deny Setiawan Desriantomy Desriantomy Dewi, Lusiana Puspa Dhihyah, Dhihyah Dian Purnamasari Dikuraisyin, Basar Dina Indriana Dinda Aghnia, Charity Edi Suharyadi Elmie Dansy, Sholestica Evynurul Laily Zen Faiqotul Ilmiyah, Dina Fauzan Febiola, Errine Vira Fernandes, Atman Lucky Feryansyah, Feryansyah Gunawan Gunawan Hadja, Yeheskiel Teju Halomoan Hamzah, Shahron Adli Haqqi, Abdurrahman Raden Aji Hassan, Lutfi Hendro Wahyudiono, Pratiwi Huda, Hisbullah Imam Santoso Intang, Ezra Irfansyah, Dicki Ishak, midyan Surya Ismail Ismail Ismail Ismail Ismail, Andi Almeira Zocha Ismail, Andi Regina Acacia Jalil, Andi Wahyudin Jasmine, Asyifa Nadia Jon Pamil Jumhana, Nana Khotmi, Herawati Krishna Pillai, Salini Kurniasari, Agustina Langingi, Sony Liza, Fitri Luhuringbudi, Teguh Mahmood, Sawsan. D Manaf, Abdi Mardan Umar Marliana Sari, Marliana MARSUDI Maulana, Mirza Arif Ma’ali, Abul Mhd Daud Pinem Mirwan Akhmad Taufiq Miswanto Miswanto Mohd Rosdi, Siti Asma' Mohd Zulkefli, Nurul Akhmal Moneyam, Sasigaran Muhamad Hasan Muhammad Afifudin Dimyathi Muhammad Hendri Nuryadi, Muhammad Hendri Muhammad Kamal Muhammad Luthfi Muhammad Rusdi Muhammad, Kemas Muhidin Muhidin Mukmin Mukmin Munifah Munifah, Munifah Murugan, Stephanie Lawrencen Murwanti, Murwanti Nadlir Nadlir, Nadlir Nafisah, Shofi Nasaruddin Nasaruddin NAZMAH Nisa, Ummi Novaliyan, Alvin Rangga Nur Iksan nurhamim, nurhamim Olva, Maria Panessai, Ismail Yusuf Pipit Widiatmaka, Pipit Puspitasari, Intan N.N. Quiko, Alfonso Sabatani Rahman, Hanif Ikmal Rahmap Rahmap, Rahmap Ramdan, Mohamad Rohieszan Ramli, Supian Reza Nandika Riwanda, Agus Rosanti, Raina Rosita Noviana Saad, Ahmad Fadli Saif Al-din, Saif, M. N. Salun, Rozella Seri, Ermyna Setiono, Agus Shafruddin Tajuddin Shaharudin, Muhammad Hairil Sigit Kurniawan Siti Masyitoh Siti Shalihah, Siti Siva Kumar, Leela Thevi Sofian, Novrizal Egi Sriyanto Sriyanto Subagja, Rizky Suganda, Afdal Sugiyanto, Arisaander Suhaimi, Suhazlan Suherman Supiyan, Supiyan Syamsiar, Syamsiar Taufik Taufik Taufiq, Mirwan Akhmad Teguh Fachmi Teti Desyani Titis Thoriquttyas Triwahyono, Anang Utami, Dewi Nita Weno Syechu Yusuf, Kadri Yusuf, Robe'ah Zainuddin Zainuddin Zakiyah, Ermita Zariman, Asnazulfadhli Zuhri, Hilmi Husaini