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Journal : Journal of Applied Science, Engineering, Technology, and Education

Design of Quantized Deep Neural Network Hardware Inference Accelerator Using Systolic Architecture Rifqie, Dary Mochamad; Djawad, Yasser Abd.; Samman, Faizal Arya; Ahmar, Ansari Saleh; Fakhri, M. Miftach
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2689

Abstract

This paper presents a hardware inference accelerator architecture of quantized deep neural networks (DNN). The proposed accelerator implements all computation in a quantize version of DNN including linear transformations like matrix multiplications, nonlinear activation functions such as ReLU, quantization and dequantization operation. The hardware accelerator of quantized DNN consists of matrix multiplication core which is implemented in systolic array architecture, and the QDR core for computing the operation of quantization, dequantization, and ReLU. This proposed hardware architecture is implemented in Verilog Hardware Description Language (HDL) code using modelsim. To validate, we simulated the quantized DNN using Python programming language and compared the results with our proposed hardware accelerator. The result of this comparison shows a very slight difference, confirming the validity of our quantized DNN hardware accelerator.
Barriers to Effective Learning: Examining the Influence of Delayed Feedback on Student Engagement and Problem Solving Skills in Ubiquitous Learning Programming Fakhri, M. Miftach; Ansari Saleh Ahmar; Rosidah, Rosidah; Fadhilatunisa, Della; Tabash, Mosab
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2825

Abstract

The rapid evolution of technology has reshaped the educational landscape, ushering in ubiquitous learning environments that provide learners with unparalleled access to educational resources at any time and location. This study aimed to investigate the impact of delayed feedback on student engagement and problem-solving skills in ubiquitous learning programming environments. The purpose was to understand how different forms of student engagement—behavioral, emotional, and cognitive—influence problem-solving abilities and how students perceive and handle delayed feedback. A quantitative method was employed using a cross-sectional survey design. Data were collected from 293 students enrolled in the Department of Informatics and Computer Engineering, Faculty of Engineering, Makassar State University, who had studied web and mobile programming courses. Standardized questionnaires were administered to measure variables. Quantitative data analysis involved descriptive statistical analysis and structural equation modeling (SEM) using SmartPLS 4.0. The research results revealed that behavioral engagement (BE) significantly improves problem-solving skills and helps students better handle delayed feedback. Emotional engagement (EE) has the strongest influence on problem-solving abilities and responses to delayed feedback. Cognitive engagement (CE), while not directly enhancing problem-solving skills, significantly aids in the management of delayed feedback. These findings underscore the importance of fostering behavioral and emotional engagement to enhance problem-solving skills and mitigate the adverse effects of delayed feedback. Strategies such as gamification, real-time collaboration, and immediate feedback mechanisms are essential to improve learning outcomes in ubiquitous learning programming environments.
From Ethics to Impact: Modeling the Role of AI Perception Dynamics in the Relationship Between Ethics AI Practices, AI-Driven Societal Impact, and AI Behavioral Analysis Fakhri, M. Miftach; Jannah, Devi Miftahul; Isma, Andika; Dewantara, Hajar; Nirmala S., Aprilianti
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3802

Abstract

The rapid evolution of Artificial Intelligence (AI) has brought significant changes across various sectors, including healthcare, finance, and criminal justice, presenting both remarkable opportunities and complex ethical challenges. As AI becomes increasingly embedded in decision-making processes, concerns about individual rights, social equity, and public trust are growing, especially in high-stakes contexts. These ethical implications underscore the critical need for robust frameworks that emphasize AI transparency, accountability, and fairness to mitigate risks such as bias and ensure responsible usage. Despite the increased focus on ethical AI practices, there remains a considerable gap in understanding how these frameworks impact societal perceptions and behaviors toward AI. This study seeks to address this gap by investigating the effects of ethical AI practices—specifically transparency, accountability, and fairness—on public perceptions and behaviors. The study employs a quantitative approach, using purposive sampling to select a sample of AI-knowledgeable participants and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). This methodological approach allows for a detailed exploration of the relationships between ethical AI practices and societal impacts. Additionally, the study examines the mediated pathways through which these ethical practices influence AI’s societal and behavioral impacts, hypothesizing that transparency and accountability foster trust and positive engagement. By developing a framework that aligns ethical AI practices with societal values, this study aims to advance the broader goals of societal trust, public acceptance, and sustainable social integration of AI technologies. These insights contribute to the growing body of knowledge on responsible AI deployment, supporting ethical alignment in diverse AI applications and promoting trustworthiness in AI-driven systems
Co-Authors A. Nurul Uswatun Hasanah Adiba, Fhatiah Aditya Alamsyah Syarif Aditya, Roby Ahmad Fadhil Imran Ahmar, Ansari Saleh Ainun Zahra Adistia Akhmad Affandi Akis, Dwi Ihza Sari Akmal Hidayat Akmal Hidayat Akmal Hidayat Amelia Syamsuddin Aminuyati Amiruddin Amri Rahman Amri Rahman Amukune, Stephen Ana Sulistiana Alwi Anaguna, Nursyam Ananta Dwi Prayoga Alwy Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Naila Quin Azisah Aliasyahbana Andi Nailah Quin Azisah Alisyahbana Andika Isma Annajmi Rauf Anwar Wahid Aprilianti Nirmala S Aprisal Aprisal, Aprisal Aprisal, Aprisal Arifiyanti, Fitria Arsyanda Arya Putra Abshari Asham Bin Jamaluddin Asis Nojeng Asoka Syukur, Pramudya Asri Ismail Asriadi Asriadi Aswi, Aswi Auliyanti Sahril Nurfadhilah Awaliah Fitri Nur Ananda Baso, Fadhlirrahman Bukhari Naufal Nur Ag Dahniar Dary Mochamad Rifqie Della Fadhilatunisa Devi Miftahul Jannah Dewi Fatmarani Surianto Dewi, Shabrina Syntha Dio Nurul Awalia, Andi Djawad, Yasser Abd. Dwi Rezky Anandari Dwi Rezky Anandari Sulaiman Elma Nur Jannah Elma Nurjannah Ery Sugito Fadhel Akbar Fadhil Zil Ikram Fadhilarahman Baso Fadhilarahman Baso Fadlih, Andi Muhammad Faisal Faisal Faizal Arya Samman Fajar B, Muhammad Fajriani Azis Fajrin, Farid Fardan, Muhammad Fathahillah Fathahillah Firdaus Firdaus FItria Arifiyanti Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Guillermo Bautista Hajar Dewantara Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hartono Helmy, Ahnaf Riyandirga Ariyansyah Putra Hendra Jaya Hidayat M., Wahyu Ika Wahyu Pratiwi Ikram, Fadhil Zil Ilma Wulansari Hasdiansa Indah Febriyani Asril Iriandy Iriandy Irwansyah Suwahyu Jannah, Devi Miftahul Jumadil Ahmad Safii Jumadil Ahmad Safi’i Kelvianto Pratama Harum Kurnia Prima Putra La Ode Lisbar Linggi, Cantika Randa Lu'mu M Syahid Nur Wahid M. Al Ihlas M. Al Ihlas M. Haristo Rahman Mangesa, Riana T Marhawati, Marhawati Mayasari Mayasari, Mayasari Mazidan, A.M Yusran Miftahul Jannah , Devi Mudarris Mudarris Muh Akbar B Muh Bhilal Halim Muh Juharman Muh. Alif Muh. Bhilal Halim Muh. Bhilal Halim Muh. Dadang Hawari Muh. Dadang Hawari Muh. Rahmat Wahyudi JY Muh. Sunan Jaya Irmawan Muhalim Muhammad Agung Muhammad Akbar Amir Muhammad Alif Leo Muhammad Alif Leo Muhammad Ansarullah S. Tabbu Muhammad Fajar B Muhammad Fajar B Muhammad Fardan Muhammad Fardan Muhammad Haristo Rahman Muhammad Ibrahim Muhammad Rakib Muhammad Safar Nur Muhammad Takwin Machmud Muhammad Yahya Mursalim, Muliana Namla Elfa Syariati Nastah, Mardiyanah Nirmala S, Aprilianti Nirmala S., Aprilianti Nur Annafiah Nur Azizah Ayu Safanah Nur Fadhylah As Nur Qirani Ridhaihi Nur Rahmah Sari Nur Yahya Akhmad Nurdin Nurikhlas Noerpa Gunawan Nurikhlas Nurpa Gunawan Nuril Huda Nuril Huda Nurjannah, Elma Nurrahmah Agusnaya Nursyam Anaguna Olivia, Alya Poewanto, Bobby Pramudya Asoka Syukur Pratama, Muh Idul Akbar Pratiwi, Ika Wahyu Putri Nanda Sari Putri Nirmala Radha Hasda Halfis Radhiah Raodahtul Jannah Rauf, Annajmi Rezki Angriani Pratiwi Kadir Rifqa Awalia Roby Aditya Rosidah Rosidah Rosidah Rosidah Rosidah Sabran Saharuddin R. Sokku Sanatang Sapto Haryoko Satnur, Muh. Alham Sembiring, Rinawati Setialaksana, Wirawan - Shabrina Syntha Dewi Shera Afidatunisa Sitti Hasbiah Sitti Muthmainnah Sitti Muthmainnah Sitti Radhiah Soeharto Soeharto Sofyan, Vina Annisa Sudarmanto Jayanegara Suhartono Suhartono Suhartono Sulaiman, Dwi Rezky Anandari Syariati, Namla Elfa Syukur, Pramudya Asoka Tabash, Mosab Trisakti Akbar Utami, Nurul Mu'tia Vidiyanto, Vidiyanto Wahyu Hidayat Wahyu Hidayat M Wahyu Hidayat M Wahyudi Wahyudi Wahyudi Wulan Purnamasari Wulan Purnamasari S WULANDARI Wulandari Yuanita B Yuanita B Zul Jalali Wal Ikram