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M. Miftach Fakhri

Universitas Negeri Makassar

Author-ID : 6806845

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Harnessing Digital Skills For Academic Success: Unveiling The Power of Learning Motivation in Computational Thinking and Tech Integration Rauf, Annajmi; Fakhri, M. Miftach; Fathahillah, Fathahillah; Surianto, Dewi Fatmarani; Baso, Fadhlirrahman; Arifiyanti, Fitria; Amukune, Stephen
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.501

The workforce's demand for critical thinking and innovation highlights the need to improve students' problem-solving skills, thus encouraging educational institutions to adopt technology-based strategies for an engaging learning environment. Previous studies have explored the relationship between learning motivation and academic outcomes and the role of technology and web-based media in improving problem-solving skills. However, limited research has comprehensively examined the interaction between computational thinking, technology integration, learning motivation, and student performance. This study aims to examine how Computational Thinking (CT) and Technology Integration (TI) influence Learning Motivation (LM) and Student Performance (SP), providing insights into optimizing digital skills for academic success in the digital age. Data were collected from 426 respondents' university students in Indonesia randomly. A questionnaire with a 5-point Likert scale consisting of several variables such as Computational Thinking, Technology Integration, Learning Motivation, and Student Performance were used in this study. Then, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to check the measurement and assessment model. The results showed that CT and TI positively and significantly impacted LM and SP. In addition, LM serves as an important mediator, strengthening the influence of CT and IT on academic outcomes. Specifically, technology integration has a greater impact on LM than CT, while LM significantly improves SP. This study presents a detailed framework for educators to enhance learning experiences by integrating digital skills and fostering student motivation. The findings offer practical implications for developing effective educational strategies that meet the changing demands of the digital age. Future research is recommended to investigate the long-term effects of CT and IT in various educational environments.

AI Literacy Meets Ethics: Critical Appraisal's Mediating Role in Shaping Ethical Awareness in Higher Education Syukur, Pramudya Asoka; Fakhri, M. Miftach; Firdaus, Firdaus; Putra, Kurnia Prima; Adiba, Fhatiah; Arifiyanti, Fitria
Online Learning In Educational Research (OLER) Vol 5, No 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.508

As artificial intelligence increasingly permeates higher education systems worldwide, developing students' ethical awareness has become essential for responsible AI implementation. This study seeks to examine the connections between technical understanding, applied knowledge, and critical appraisal in shaping ethical awareness within the context of AI literacy. The study utilizes a quantitative method, applying Partial Least Squares Structural Equation Modeling (PLS-SEM) to data gathered from 322 university students. The findings indicate that technical understanding has a direct favorable influence of 0.180 on ethical awareness, while applied knowledge demonstrates a stronger impact of 0.467. Critical appraisal serves as a significant complementary partial mediator, with indirect path coefficients of 0.083 for technical understanding and 0.155 for applied knowledge, strengthening their relationships with ethical awareness. This study concludes that AI literacy educational programs should not only emphasize technical and applied knowledge but also foster critical appraisal skills to promote ethical AI usage.

Klasifikasi Penyakit Pada Padi Dengan Ekstraksi Fitur LBP dan GLCM Ananta Dwi Prayoga Alwy; M Syahid Nur Wahid; Bukhari Naufal Nur Ag; M Miftach Fakhri
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 1 Maret 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i1.51

Padi merupakan salah satu komoditas penting di Indonesia yang menjadi sumber utama pangan, namun sering terancam oleh berbagai penyakit yang dapat menyebabkan gagal panen. Deteksi dini penyakit pada padi sangat penting, namun sulit dilakukan secara manual oleh petani. Penelitian ini bertujuan untuk mengembangkan sistem klasifikasi penyakit pada tanaman padi menggunakan ekstraksi fitur GLCM (Gray Level Co-occurrence Matrix) dan warna. Metode yang digunakan meliputi akuisisi citra, segmentasi citra menggunakan Otsu thresholding, operasi morfologi dengan area-open, ekstraksi fitur LBP (Local Binary Pattern) dan GLCM, serta klasifikasi dengan algoritma Decision Tree. Dataset yang digunakan terdiri dari 120 citra daun padi yang terinfeksi oleh tiga jenis penyakit: Brown Spot, Hispa, dan Leaf Blast. Berdasarkan hasil pengujian, sistem klasifikasi ini berhasil mencapai akurasi sebesar 90%. Hasil ini menunjukkan bahwa kombinasi ekstraksi fitur LBP dan GLCM mampu meningkatkan akurasi dalam mendeteksi penyakit pada padi jika dibandingkan dengan metode K-Nearest Neighbor (KNN) yang hanya mencapai akurasi sekitar 77%. Meskipun demikian, kesalahan klasifikasi masih terjadi pada penyakit dengan gejala yang serupa, seperti Leaf Blast yang terkadang terdeteksi sebagai Brown Spot. Oleh karena itu, penelitian ini menyarankan pengembangan teknik ekstraksi fitur yang lebih kompleks atau penggabungan metode lain untuk meningkatkan akurasi sistem. Diharapkan, sistem ini dapat diimplementasikan di lapangan untuk membantu petani dalam mendeteksi dan menangani penyakit padi lebih cepat, meningkatkan hasil pertanian, serta ketahanan pangan di Indonesia.

Integration of EMI (English as Medium of Instruction) through a collaborative teaching scheme to improve the quality of teachers Affandi, Akhmad; Fadlih, Andi Muhammad; Nastah, Mardiyanah; Fakhri , M. Miftach; Mursalim, Muliana
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku4315

This community service activity aims to improve teachers' ability to implement Collaborative Teaching based on English Medium Instruction (EMI) at SMA Negeri 5 Gowa. The program was carried out using a Participatory Action Research (PAR) approach involving 23 teachers from various subjects. The instrument was in the form of a pre-posttest questionnaire with 20 Likert scale statements (1–5) which included four dimensions: EMI ability, understanding collaborative teaching, collaborative implementation of collaboration, and effectiveness and feedback. The results of the analysis showed a significant increase with an average of +1.27 points in all dimensions. The biggest improvement was in the aspect of collaboration implementation (+1.29), particularly the skill of designing a 20-minute micro-lesson and providing clear collaborative instructions. These findings confirm that the EMI-based Collaborative Teaching Scheme is able to strengthen teacher confidence, increase pedagogical understanding, and foster a peer-mentoring culture in schools. The use of PAR as a framework of service has proven to be effective because it places teachers as active partners in the planning, implementation, and reflection process. The program not only improves short-term skills, but also forms an ecosystem of continuous reflective learning. Thus, this model has the potential to be replicated in other secondary schools as a strategy to improve the quality of education that is in line with the Impact Campus policy and SDGs targets

Enhancing Digital Learning Outcomes: The Combined Impact of Competence and Psychological Traits Nurjannah, Elma; Mangesa, Riana T; Fakhri, M. Miftach; Fajar B, Muhammad; Sanatang, Sanatang; Arifiyanti, Fitria
Online Learning In Educational Research (OLER) Vol. 5 No. 2 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i2.513

The rapid shift towards digitalization, accelerated by the COVID-19 pandemic, requires a reassessment of problem-solving strategies in the education system. This study aims to investigate the interactions between Digital Competencies, Psychological Traits, Digital Readiness, and Awareness, and their combined influence on Learning Outcomes. The study utilized a quantitative, cross-sectional design, focusing on university students engaged in digital learning environments in higher education. Data were collected from 467 students through a validated online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that Digital Competence and Psychological Traits significantly and positively influence Learning Outcomes, both directly and indirectly through the mediating role of Digital Readiness and Awareness. The findings emphasize the need for a holistic approach in education, which integrates technical skills and psychological readiness to enhance academic success in an increasingly digital learning environment. This study also highlights the need for further research with a longitudinal design to explore the long-term effects of digital competency and awareness interventions. Recommendations for future research include examining additional factors such as social support and technology access to further strengthen digital readiness and learning outcomes

Affecting Student Satisfaction with AI Tools in Higher Education: A Structural Equation Modeling Approach Dahniar; Linggi, Cantika Randa; Sofyan, Vina Annisa; M. Miftach Fakhri; Pramudya Asoka Syukur
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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

Artificial Intelligence (AI) has increasingly become a central concern in the digital era, particularly within the context of higher education. This study aims to analyze the influence of AI tool usage on student satisfaction in the learning process. The research design employed is cross-sectional, with a sample of students from various departments at Universitas Negeri Makassar. Data were collected using a Likert-scale-based questionnaire and analyzed descriptively. The findings reveal that although students’ awareness of the potential of AI tools is relatively high, their actual experience in using them remains limited. Students acknowledged the positive benefits of AI tools in enhancing learning quality and information accessibility, yet only a small proportion actively utilized them. These results highlight the necessity for increased education and institutional support to encourage the adoption of AI tools on campus, enabling students to be better prepared to integrate them into their studies. This research contributes to the creation of a more adaptive learning environment and supports the development of student competencies in the digital era.

Correlation between Educational Technology Literacy and Online Learning Anxiety of Junior High School Students Fadhel Akbar; Akis, Dwi Ihza Sari; M. Miftach Fakhri; Pramudya Asoka Syukur; Devi Miftahul Jannah
Jurnal MEKOM (Media Komunikasi Pendidikan Kejuruan) Volume 12, Issue 2, August 2025
Publisher : Fakultas Teknik, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/mkpk.v12i2.9888

Education is undergoing significant transformations as technology advances, particularly in the context of increasingly common online learning, fueled by the COVID-19 pandemic and the industrial revolution 4.0. This article investigates the relationship between educational technology literacy and junior high school students' anxiety during online learning. Respondents from SMPN 1 Kahu, a total of 66 students, completed a questionnaire assessing their technology use proficiency and anxiety levels. The results showed that students' technological literacy tended to be good (mean 3.4-4.2), with relatively low anxiety levels (mean 2.6-3.3). The correlation between technological literacy and anxiety varied; some students felt a positive influence, while others believed that technological literacy could reduce anxiety. The research method used a quantitative approach with survey method and random sampling technique. The findings provide insights into students' readiness for online learning and its implications for anxiety. This study strengthens the results of previous research, confirming that technological literacy can influence students' perception of anxiety during online learning.

Profesionalisme dan Lingkungan Kerja Serta Pengaruhnya Terhadap Kinerja Karyawan (Studi : PT. Habbatusauda Internasional) Fadhilatunisa, Della; Fakhri, M Miftach
Study of Scientific and Behavioral Management Vol 1 No 2 (2020)
Publisher : Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/ssbm.v1i2.16493

Kehadiran Masyarakat Ekonomi ASEAN (MEA) pada abad 21 membawa dampak yang cukup signifikan pada persaingan tenaga kerja profesional untuk membantu pengembangan perusahaan di abad 21. Oleh karena itu, kinerja karyawan di sebuah perusahaan perlu mendapatkan perhatian khusus agar kinerja karyawan dapat dijadikan sebuah indikator keberhasilan sebuah perusahaan. Tujuan penelitian ini adalah untuk mengetahui : (1) pengaruh professionalisme terhadap kinerja karyawan, (2) pengaruh lingkungan kerja terhadap kinerja karyawan, dan (3) pengaruh secara simultan antara profesionalisme dan lingkungan kerja terhadap kinerja karyawan. Jenis penelitian adalah penelitian kuantitatif dengan teknik pengambilan sampel yaitu purposive sampling dan waktu penelitian adalah bulan januari 2020. Hasil penelitian menunjukkan bahwa : (1) profesionalisme berpengaruh terhadap kinerja karyawan, (2) lingkungan kerja berpengaruh terhadap kinerja karyawan dan (3) profesionalisme dan lingkungan kerja berpengaruh secara simultan terhadap kinerja karyawan. Penelitian ini lebih melihat faktor eksternal yang mempengaruhi kinerja karyawan namun belum meneliti tentang faktor internal yang mempengaruhi kinerja karyawan tersebut.Kata kunci : Profesionalisme, Lingkungan Kerja, Kinerja Karyawan

Empowering South Sulawesi MGMP Economics Teachers through Digital Economic Literacy and Artificial Intelligence: Pemberdayaan Guru Ekonomi MGMP Sulawesi Selatan melalui Literasi Ekonomi Digital dan Artificial Intelligence Nurhayani, Nurhayani; Ryketeng, Masdar; Akbar, Muh.; Fakhri, M. Miftach; Rauf, Annajmi; Awalia, Andi Dio Nurul; Isma, Andika
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang4335

The transformation of education in the digital era requires teachers to have adequate technological literacy, especially in economic learning that is relevant to the dynamics of everyday life. This service program aims to improve teachers' digital economic literacy through a Kahoot-based game-based learning approach. Four main materials were developed, namely Shares, Online Gambling, Life Trail, and MagicSchool AI. The activity was carried out with the South Sulawesi Economics Teacher MGMP Forum using a Participatory Action Research (PAR) approach through the stages of socialization, training, implementation, mentoring, and evaluation. The methods used were interactive quizzes, simulations, discussions, and hands-on practice. The evaluation results showed a significant increase in teachers' understanding, with the highest achievement in the material of Shares and MagicSchool AI. This training not only strengthens teachers' digital skills, but also fosters their reflective, collaborative attitudes and readiness as agents of change in integrating digital technology in economic learning.

AUTOMATIC FISHPOND IRRIGATION DOOR CONTROL SYSTEM BASED ON ATMEGA16 MICROCONTROLLER AND SMS GATEWAY B, Muhammad Fajar; Lestary, Fitriyanty Dwi; M. Miftach Fakhri; Muhammad Agung; Surianto, Dewi Fatmarani; Akmal Hidayat
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.669

The process of controlling irrigation doors in fishponds is still mostly done manually, this results in the performance of farmers being less effective and efficient. Current technological developments, especially in the field of IoT, can be used to design a simulation that is able to control irrigation gates automatically. Based on the results of the tests that have been carried out, it can be concluded that the ATmega16-based automatic irrigation gate simulation tool can work well according to the designed working principle. If the condition of fishpond water is less than the ideal height of the fishpond and the condition of river water is more than the height of the fishpond, the motor will move to "open" the irrigation door to fill fishpond water. If the fishpond water condition is more than the ideal height and the river water condition is less than the fishpond height, the motor will move to "open" the irrigation door to discharge fishpond water and if the river water condition is the same as the fishpond water condition, the motor will move "close” the irrigation door so that the ideal height of the fishpond can be achieved. There are certain conditions to control the door manually using the SMS Gateway. Information about the maximum or minimum fishpond water level will be displayed on the LCD to determine the maximum or minimum fishpond height using Keypad.

Co-Authors A. Nurul Uswatun Hasanah Abdul Muis Mappalotteng Adiba, Fhatiah Adistia, Ainun Zahra Aditya Alamsyah Syarif Aditya, Roby Agusnaya, Nurrahmah Ahmad Fadhil Imran Ahmad Fadhil Imran Ahmad Faris Al Faruq Ahmad Siddiq Mappatunru Ahmar, Ansari Saleh Ainun Zahra Adistia Akbar, Muh. Akhmad Affandi 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 ABIDAH Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Naila Quin Azisah Aliasyahbana Andi Naila Quin Azisah Alisyahbana Andi Nailah Quin Azisah Alisyahbana Andika Isma Annajmi Rauf Anwar Wahid Aprilianti Nirmala S Aprilianti Nirmala S Aprisal, Aprisal Arifiyanti, Fitria Arsyanda Arya Putra Abshari Asham Bin Jamaluddin Asis Nojeng Asoka Syukur, Pramudya Asri Ismail Asriadi Asriadi Asriadi Asriadi Aswi, Aswi Auliyanti Sahril Nurfadhilah Awalia, Andi Dio Nurul Awaliah Fitri Nur Ananda Azis, Fajriani Azisah Alisyahbana, Andi Nailah Quin Baso, Fadhlirrahman Bukhari Naufal Nur Ag Dahniar Dary Mochamad Rifqie Della Fadhilatunisa Desitha Cahya Devi Miftahul Jannah Dewi Fatmarani Surianto Dewi, Shabrina Syntha Diandra, Aristia Anastasya Dio Nurul Awalia, Andi Dirawan, Gufran Darma Djawad, Yasser Abd. Dwiasta, Andi Yusdy Edi Suhardi Rahman Elma Nur Jannah Elma Nurjannah Ery Sugito Ery Sugito Fadhel Akbar Fadhil Zil Ikram Fadhilarahman Baso Fadhilarahman Baso Fadhilatunnisa, Della Faisal Faisal Faizal Arya Samman Fajriani Azis Fajrin, Farid Fardan, Muhammad Fathahillah Fathahillah Fauziyah Alfathyah Firdaus Firdaus FItria Arifiyanti Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Guillermo Bautista Hajar Dewantara Hajar Dewantara Harisma Dita Ansyar Harisma Dita Ansyar Dita Ansyar Hartono Hartono Hartono Hasbiah, Sitti Helmy, Ahnaf Riyandirga Ariyansyah Putra Hendra Jaya Hidayat M., Wahyu Ika Wahyu Pratiwi Ika Wahyu Pratiwi Ilma Wulansari Hasdiansa Indah Febriyani Asril Iriandy, Iriandy Irwansyah Suwahyu Jannah, Devi Miftahul Jumadil Ahmad Safii Jumadil Ahmad Safi’i Karim, Sugeng A. Kelvianto Pratama Harum Kurnia Prima Putra La Ode Lisbar Linggi, Cantika Randa Lu'mu M Syahid Nur Wahid M, Wahyu Hidayat M. Al Ihlas M. Al Ihlas Mangesa, Riana T Mappeasse, Muhammad Yusuf 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. Dadang Hawari Muh. Rahmat Wahyudi JY Muh. Sunan Jaya Irmawan Muhalim Muhammad agung Muhammad Akbar Amir Muhammad Alif Leo Muhammad Alif Leo Muhammad Alif Leo Muhammad Ansarullah S. Tabbu Muhammad Fadhil Hani Muhammad Fajar B Muhammad Fardan Muhammad Fardan Muhammad Fardan Muhammad Haristo Rahman Muhammad Ibrahim Muhammad Rakib Muhammad Safar Nur Muhammad Takwin Machmud Muhammad Yahya Muhammad Yahya Muhammad Yusuf Mappeasse Mursalim, Muliana Mushaf Namla Elfa Syariati Nastah, Mardiyanah Nirmala S, Aprilianti Nirmala S., Aprilianti NIRMALA, PUTRI Nirmalasari, Aprilianti Novianti, Andi Fitri Nur Aisyah Fadliyah Faizal Nur Annafiah Nur Azizah Ayu Safanah Nur Fadhylah As Nur Qirani Ridhaihi Nur Rahmah Sari Nur Yahya Akhmad Nurdin Nurdin Nurdin Nurhayani nurhayani Nurikhlas Noerpa Gunawan Nurikhlas Nurpa Gunawan Nuril Huda Nuril Huda Nuril Huda Nurjannah, Elma Nurrahmah Agusnaya Nursyam Anaguna Nurul Febrianti Olivia, Alya Poewanto, Bobby Pramudya Asoka Syukur Pratama, Muh Idul Akbar Pratiwi, Ika Wahyu Putri Nanda Sari Putri Nirmala Putri Ramdani Raden Mohamad Herdian Bhakti Radha Hasda Halfis Radhiah Raodahtul Jannah Rauf, Annajmi Rezki Angriani Pratiwi Kadir Ridwan Daud Mahande Rifqa Awalia Ririn Mardhani Syakur Roby Aditya Rosidah Rosidah Rosidah Rosidah Rosidah Ryketeng, Masdar S, Aprilianti Nirmala Sabran Saharuddin R. Sokku Sanatang Sapto Haryoko Satnur, Muh. Alham Sembiring, Rinawati Setialaksana, Wirawan - Shabrina Syntha Dewi Shera Afidatunisa Shofiyah Rosyadah Sitti Hasbiah Sitti Muthmainnah Sitti Muthmainnah Sitti Radhiah Soeharto , Soeharto Soeharto Soeharto Sofyan, Vina Annisa Sudarmanto Jayanegara Suhartono Suhartono Suhartono Sulaiman, Dwi Rezky Anandari Syahrul Syahrul Syamsidah, Syamsidah Syamsul Huda Syariati, Namla Elfa Syukur, Pramudya Asoka Tabash, Mosab Taufieq, Nur Anny S. Trisakti Akbar Utami, Nurul Mu'tia Vidiyanto, Vidiyanto Wahid, Syahid Nur Wahyu Hidayat M Wahyudi Wahyudi Wahyudi Wulan Purnamasari Wulan Purnamasari S Wulandari WULANDARI Wulandari Wulandari Yasin, Muhamad Yuanita B Yuanita B Zainuddin, Zainuddin Zul Jalali Wal Ikram

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