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All Journal e-Dinamis ELT Worldwide: Journal of English Language Teaching Jurnal Adabiyah KAREBA : Jurnal Ilmu Komunikasi International Journal of Artificial Intelligence Research Jurnal Penelitian Sains Knowledge Engineering and Data Science JURNAL MEDIA INFORMATIKA BUDIDARMA BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks UICELL Conference Proceeding Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat IJISH (International Journal of Islamic Studies and Humanities) LISANAN ARABIYA: Jurnal Pendidikan Bahasa Arab Mobile and Forensics Signal and Image Processing Letters Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal English Teaching and Linguistics Journal (ETLiJ) Al-Fathin: Jurnal Bahasa dan Sastra Arab Letters in Information Technology Education (LITE) Jurnal Kesehatan Tambusai Jurnal Jarlit JTechLP JoEELE El 'Aailah Journal Medical Informatics Technology Bulletin of Social Informatics Theory and Application International Journal of Business English and Communication (IJoBEC) Jurnal Literasi dan Pembelajaran Indonesia Celebes Journal of Language Studies QOSIM: Jurnal Pendidikan, Sosial & Humaniora Journal of Sustainable Community Development GEMBIRA (Pengabdian Kepada Masyarakat) J-Shelves of Indragiri (JSI) Jurnal Pengabdian Masyarakat Mentari Multidisciplinary Indonesian Center Journal Journal on Mathematics Education Signal and Image Processing Letters Axiology
Ahmad Azhari
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Implementation of Artificial Intelligence (AI) in HyFlex-Based Final Project Guidance Sunusi, Seny Luhriyani; Azhari, Ahmad; Sembiring, Surya Anantatama; Safitri, Citra Dwi
Celebes Journal of Language Studies Vol. 5, No. 2 December 2025
Publisher : Har Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51629/cjls.v5i2.261

Abstract

This study aims to analyze the application of artificial intelligence (AI) in HyFlex-based final project guidance and identify the challenges experienced by supervisors and students during the process. The research uses a mixed methods approach involving 12 supervisors and 38 students who actively use AI in the preparation of thesis. Data collection was carried out through structured questionnaires and in-depth interviews, then analyzed using descriptive statistics and qualitative analysis techniques of the Miles & Huberman model. The results showed that the majority of students (94.7%) used AI to help prepare thesis, especially in compiling writing frameworks, improving grammar, understanding theory, and speeding up the revision process. Lecturers also use AI, but more carefully, especially to provide examples of writing improvements and help clarify basic concepts. Although AI has been shown to improve the effectiveness of HyFlex tutoring, both groups face different challenges: students tend to face technical barriers such as unstable networks, device limitations, AI answer errors, and difficulty creating precise prompts; while lecturers face academic challenges such as false references, theoretical inaccuracies, and the risk of student dependence on AI. Overall, the study concludes that AI has great potential to improve the quality, flexibility, and efficiency of final project guidance, but its use still requires strong digital literacy, academic verification, and clear ethical guidelines.
Penguatan Keterampilan Berbicara Mahasiswa melalui Model Two Stay Two Stray dalam Program Intensifikasi Bahasa Asing Musdalifah, Musdalifah; Susanto, Ashabul Kahfi; Azhari, Ahmad; Tohamba, Citra Prasiska Puspita; Hardianti, Hardianti
Jurnal Pengabdian Masyarakat Mentari Vol. 2 No. 5 (2025): Desember
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmm.v2i4.190

Abstract

Keterampilan berbicara Bahasa Inggris merupakan kemampuan esensial bagi mahasiswa, baik dalam konteks akademik maupun profesional. Namun, hasil observasi awal menunjukkan bahwa banyak mahasiswa masih mengalami hambatan dalam mengemukakan pendapat, membangun dialog sederhana, dan berpartisipasi aktif dalam diskusi berbahasa Inggris. Kegiatan pengabdian masyarakat melalui Program Intensifikasi Bahasa Asing (PIBA) di Universitas Islam Negeri Alauddin Makassar ini bertujuan untuk meningkatkan keterampilan berbicara mahasiswa dengan menerapkan model pembelajaran Two Stay Two Stray (TSTS). Model ini dipilih karena mampu mendorong interaksi, kepercayaan diri, serta kelancaran berbicara melalui kerja kelompok yang dinamis. Pelaksanaan kegiatan mencakup analisis kebutuhan, penyusunan materi berbasis tugas, pelatihan intensif selama delapan sesi, dan evaluasi hasil. Pada setiap pertemuan, mahasiswa bekerja dalam kelompok kecil, di mana dua anggota bertahan menerima kunjungan dari kelompok lain, sementara dua anggota lainnya berkeliling untuk bertukar informasi. Pendekatan ini menciptakan lingkungan belajar yang komunikatif, kolaboratif, dan memungkinkan latihan berbicara secara natural. Hasil kegiatan menunjukkan peningkatan signifikan dalam aspek kelancaran, pengucapan, tata bahasa, dan kemampuan menyampaikan ide, yang terlihat dari kenaikan skor pre-test dan post-test serta meningkatnya keaktifan mahasiswa. Peserta juga melaporkan meningkatnya motivasi dan kepercayaan diri. Temuan ini menegaskan bahwa TSTS efektif diterapkan dalam program intensif untuk memperkuat keterampilan berbicara mahasiswa.
STOPAN Policy as an Effort to Reduce Child Marriage: A Review of Public Policy Based on Maqashid Syariah Azhari, Ahmad; Sugianto, Sugianto; Djumhur, Adang; Setyawan, Edy; Syaefullah, Syaefullah
Jurnal Adabiyah Vol 25 No 2 (2025): December (Islamic Humanities)
Publisher : Faculty of Adab and Humanities - Alauddin State Islamic University of Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jad.v25i2a12

Abstract

Child marriage is still a crucial social problem in Indonesia, one of the provinces with the highest rate of underage marriage is West Java Province nationally. This practice not only violates children's rights, but also has an impact on their future, some drop out of school, ongoing poverty, and domestic violence. To respond to this problem, the West Java Provincial Government through the Women's Empowerment, Child Protection, and Family Planning Service (DP3AKB) initiated the Stop Child Marriage (STOPAN) program. This program involves cross-sector collaboration—government, academics, business, media, and communities—with a comprehensive and participatory approach to reduce the number of child marriages. This study aims to analyze the implementation of the STOPAN program in reducing the number of child marriages and evaluate its effectiveness from the perspective of Maqashid Syariah. The approach used is qualitative-descriptive with a case study method. The results of this study indicate that STOPAN is quite effective partially. The number of marriage dispensations decreased from 6,794 cases (2021) to 3,631 cases (2024), and the proportion of women aged 20–24 who married before 18 also decreased from 10.09% to 5.78%. However, the practice of unregistered marriage is still often carried out by some communities. From the perspective of Maqashid Syariah, STOPAN contributes to the protection of religion, soul, mind, descendants, and property, although it is not yet fully optimal. This study recommends strengthening the community-based approach and the integration of local religious and cultural values ​​in the implementation of STOPAN. ملخص لا يزال زواج الأطفال قضية اجتماعية بالغة الأهمية في إندونيسيا. تُعدّ مقاطعة جاوة الغربية من بين المقاطعات التي تشهد أعلى معدلات زواج القاصرات على المستوى الوطني. لا تنتهك هذه الممارسة حقوق الأطفال فحسب، بل تؤثر أيضًا على مستقبلهم، مما يؤدي إلى التسرب من المدارس، واستمرار الفقر، والعنف الأسري. ولمعالجة هذه القضية، أطلقت حكومة مقاطعة جاوة الغربية، من خلال وكالة تمكين المرأة وحماية الطفل وتنظيم الأسرة (DP3AKB)، برنامج "وقف زواج الأطفال" (STOPAN). يتضمن هذا البرنامج تعاونًا بين القطاعات المختلفة - الحكومة، والأوساط الأكاديمية، وعالم الأعمال، ووسائل الإعلام، والمجتمعات المحلية - مع اتباع نهج شامل وتشاركي للحد من معدلات زواج الأطفال. تهدف هذه الدراسة إلى تحليل تطبيق برنامج STOPAN في الحد من معدلات زواج الأطفال، وتقييم فعاليته من منظور مقاصد الشريعة الإسلامية. وقد استخدم المنهج الوصفي النوعي مع دراسة حالة. وتشير نتائج هذه الدراسة إلى أن فعالية برنامج STOPAN جزئية. انخفض عدد حالات الزواج من 6794 حالة (2021) إلى 3631 حالة (2024)، كما انخفضت نسبة النساء اللواتي تتراوح أعمارهن بين 20 و24 عامًا واللواتي تزوجن قبل سن 18 عامًا من 10.09% إلى 5.78%. ومع ذلك، لا تزال ممارسة الزواج غير المسجل شائعة في بعض المجتمعات. من منظور مقاصد الشريعة الإسلامية، يُسهم برنامج STOPAN في حماية الدين والحياة والعقل والذرية والممتلكات، على الرغم من أنه لم يصل إلى المستوى الأمثل بعد. توصي هذه الدراسة بتعزيز النهج المجتمعي ودمج القيم الدينية والثقافية المحلية في تنفيذ برنامج STOPAN. Abstrak Perkawinan anak di bawah umur masih menjadi persoalan sosial yang cukup krusial  di Indonesia, salah satu Provinsi dengan tingkat perkawinan di bawah umur tertinggi ada di Provinsi Jawa Barat secara nasional. Praktik ini tidak hanya melanggar hak anak, tetapi juga berdampak pada masa depan mereka, ada yang putus sekolah, kemiskinan berkelanjutan, dan kekerasan dalam rumah tangga. Untuk merespons persoalan ini, Pemerintah Provinsi Jawa Barat melalui Dinas Pemberdayaan Perempuan, Perlindungan Anak, dan Keluarga Berencana (DP3AKB) menginisiasi program Stop Perkawinan Anak (STOPAN). Program ini melibatkan kerja sama lintas sektor pemerintah, akademisi, dunia usaha, media, dan komunitas dengan pendekatan komprehensif dan partisipatif untuk menurunkan angka perkawinan anak. Penelitian ini bertujuan menganalisis implementasi program STOPAN dalam menurunkan angka perkawinan anak serta mengevaluasi efektivitasnya dari perspektif Maqashid Syariah. Pendekatan yang digunakan adalah kualitatif-deskriptif dengan metode studi kasus. Hasil penelitian ini menunjukkan bahwa STOPAN cukup efektif secara parsial. Jumlah dispensasi nikah menurun dari 6.794 kasus (2021) menjadi 3.631 kasus (2024), dan proporsi perempuan usia 20–24 tahun yang menikah sebelum 18 tahun juga menurun dari 10,09% menjadi 5,78%. Namun, praktik nikah siri masih kerap dilakukan beberapa masyarakat. Dalam perspektif Maqashid Syariah, STOPAN berkontribusi terhadap perlindungan agama, jiwa, akal, keturunan, dan harta, meskipun belum sepenuhnya optimal. Penelitian ini merekomendasikan penguatan pendekatan berbasis komunitas serta integrasi nilai keagamaan dan budaya lokal dalam pelaksanaan STOPAN.
SPEECH ACTS IN PUBLIC CONTROVERSY: A PRAGMATIC STUDY OF GUS EL’S CLARIFICATION ON VIRAL MISCONDUCT ACCUSATIONS Muhammad Fahri Jaya Sudding; Fauzan Hari Sudding; Ashabul Kahfi Susanto; Ahmad Azhari; Andi Kamariah
J-Shelves of Indragiri (JSI) Vol 7 No 2 (2025): J-Shelves of Indragiri (JSI)
Publisher : Program Studi Pendidikan Bahasa Inggris

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61672/jsi.v7i2.3356

Abstract

  Public clarification statements from religious figures play a significant role in shaping public perception during moral controversies, yet little is known about how such speakers use linguistic strategies to address accusations. This study examines how Gus El, an Indonesian religious leader, constructed his clarification in response to viral allegations of misconduct. Using a qualitative descriptive approach, the study analyzes a verbatim transcript of his YouTube clarification. The analysis focuses on the use of speech acts, politeness strategies, and selected apology elements. The findings show that expressive and commissive acts dominate the statement, particularly through explicit apologies, acknowledgement of personal fault, and commitments to self-improvement. Representative acts serve to contextualize and soften the perceived severity of the event. Politeness strategies, including humility, mitigation, and appeals to shared religious values, help the speaker manage face threats and maintain rapport with the audience. Overall, the clarification reflects a strategic use of language to express remorse, reduce negative judgment, and preserve credibility as a religious authority.
Social Media as an Informal Learning Ecosystem for Business English: A Descriptive Study Sembiring, Surya Anantatama; Sunusi, Seny Luhriyani; Azhari, Ahmad
Journal of Excellence in English Language Education Vol 5, No 2, April (2026): Journal of Excellence in English Language Education
Publisher : Program Studi Pendidikan Bahasa Inggris FBS UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/joeele.v5i2, April.84064

Abstract

This study investigates the influence of social media utilization as an informal learning source on the digital business English communication competence of Business English Communication (BEC) students at Universitas Negeri Makassar (UNM). Framed within the paradigm of Informal Digital Learning of English (IDLE) and online informal language learning (OILL), this descriptive correlational study employed a five-point Likert-scale questionnaire administered to 82 active BEC students across multiple academic cohorts. The instrument comprised 10 items measuring social media-based informal learning behaviors (Variable X) and 10 items assessing digital business English communication competence (Variable Y). Pearson correlation and simple linear regression analyses were conducted to examine the relationship and predictive contribution of the independent variable. Results revealed a positive and statistically significant correlation between social media utilization as an informal learning source and digital business English communication competence (r = 0.582, p < 0.001). Regression analysis yielded a model of Y = 12.725 + 0.523X (R² = 0.339, p < 0.001), indicating that informal social media learning accounts for 33.9% of the variance in students’ communication competence. TikTok emerged as the most frequently utilized platform (51.2%), followed by Instagram (30.5%) and YouTube (13.4%). These findings confirm that social media constitutes a meaningful informal learning ecosystem for Business English development and carry implications for curriculum integration in BEC programs.
Human Intestinal Condition Identification Based-on Blended Spatial and Morphological Feature using Artificial Neural Network Classifier Athiyah, Ummi; Muhammad, Arif Wirawan; Azhari, Ahmad
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Colon cancer is a type of disease that attacks the intestinal walls cell of humans. Colorectal endoscopic screening technique is a common step carried out by the health expert/gynecologist to determine the condition of the human intestine. Manual interpretation requires quite a long time to reach a result. Along with the development of increasingly advanced digital computing techniques, then some of the weaknesses of the manually endoscopic image interpretation analysis model can be corrected by automating the detection process of the presence or absence of cancerous cells in the gut. Identification of human intestinal conditions using an artificial neural network method with the blended input feature produces a higher accuracy value compared to the artificial neural network with the non-blended input feature. The difference in classifier performance produced between the two is quite significant, that is equal to 0.065 (6.5%) for accuracy; 0.074 (7.4%) for recall; 0.05 (5.0%) for precision; and 0.063 (6.3%) for f-measure.
Neural Network Classification of Brainwave Alpha Signalsin Cognitive Activities Azhari, Ahmad; Susanto, Adhi; Pranolo, Andri; Mao, Yingchi
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The signal produced by human brain waves is one unique feature. Signals carry information and are represented in electrical signals generated from the brain in a typical waveform. Human brain wave activity will always be active even when sleeping. Brain waves will produce different characteristics in different individuals. Physical and behavioral characteristics can be identified from patterns of brain wave activity. This study aims to distinguish signals from each individual based on the characteristics of alpha signals from brain waves produced. Brain wave signals are generated by giving several mental perception tasks measured using an Electroencephalogram (EEG). To get different features, EEG signals are extracted using first-order extraction and are classified using the Neural Network method. The results of this study are typical of the five first-order features used, namely average, standard deviation, skewness, kurtosis, and entropy. The results of pattern recognition training show that 171 successful iterations are carried out with a period of execution of 6 seconds. Performance tests are performed using the Mean Squared Error (MSE) function. The results of the performance tests that were successfully obtained in the pattern test are in the number 0.000994.
Parallelization of Partitioning Around Medoids (PAM) in K-Medoids Clustering on GPU Prahara, Adhi; Ismi, Dewi Pramudi; Azhari, Ahmad
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

K-medoids clustering is categorized as partitional clustering. K-medoids offers better result when dealing with outliers and arbitrary distance metric also in the situation when the mean or median does not exist within data. However, k-medoids suffers a high computational complexity. Partitioning Around Medoids (PAM) has been developed to improve k-medoids clustering, consists of build and swap steps and uses the entire dataset to find the best potential medoids. Thus, PAM produces better medoids than other algorithms. This research proposes the parallelization of PAM in k-medoids clustering on GPU to reduce computational time at the swap step of PAM. The parallelization scheme utilizes shared memory, reduction algorithm, and optimization of the thread block configuration to maximize the occupancy. Based on the experiment result, the proposed parallelized PAM k-medoids is faster than CPU and Matlab implementation and efficient for large dataset.
Convolutional Neural Network on Tanned and Synthetic Leather Textures Faiz, Faadihilah Ahnaf; Azhari, Ahmad
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Tanned leather is an output from complex processes called tanning. Leather tanning is an important step that used to protect the fiber or protein structure of animal’s skin. Another reason of tanning process is to prevent the animal’s skin from any defect or rot. After the tanning is complete, the leather can be applied to produce a wide variety of leather products. Thus, the leather prices usually more expensive because it takes longer time in process. Another way to get cheaper price is make non-animal leather that usually known as synthetic or imitation leather. The purpose of this paper is to classify the tanned leather and synthetic leather by using Convolutional Neural Network (CNN). The tanned leather consist of cow, goat and sheep leathers. The proposed method will classify into four class, they are cow, goat, sheep and synthetic leathers. This research consist of 1280 training data with 448×448 pixels size as the input. With CNN method, this research shows a good result for the accuracy about 92.1%.
Cognitive EEG Differentiation with Hypnosis-Based Noise Reduction and K-Harmonic Means for Personalized Brainwave Modeling Azhari, Ahmad; Saputra, Dimas Chaerul Ekty
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

This study investigates the integration of hypnosis-based noise reduction and K-Harmonic Means (KHM) clustering for personalized brainwave modeling using Electroencephalography (EEG) data. EEG signals were collected from 100 participants using a Neurosky Mindset sensor at the FP1 (prefrontal) location, with each subject performing nine standardized cognitive tasks such as breathing, memory recall, and mathematical problem-solving. Hypnosis was applied not as a filtering method but as a behavioral protocol to standardize subject conditions and minimize physiological and environmental noise. The EEG signals were sampled at 128 Hz and analyzed using KHM clustering with K=4K = 4K=4, resulting in a Silhouette Score of 0.9515, which demonstrates strong cluster separation and robustness against noise. Compared with baseline approaches such as K-Means and Fuzzy C-Means, KHM achieved higher stability and consistency in differentiating cognitive tasks. This performance highlights the advantage of harmonic averaging in mitigating the influence of outliers during clustering. The findings suggest that hypnosis can meaningfully enhance EEG signal quality, thereby improving downstream cognitive state differentiation. Overall, this research contributes to advancing EEG-based cognitive analysis and personalized brainwave modeling, with potential applications in brain–computer interfaces, cognitive diagnostics, and neurofeedback systems. The integration of behavioral noise control (hypnosis) with advanced clustering methods presents a novel hybrid framework for improving the reliability of EEG-based cognitive state identification.
Co-Authors Abbas, Moch Anwar Adhi Prahara, Adhi Adhi Susanto Adys, Himala Praptami Affan, Dhava Chairul Agus Aktawan, Agus Ahmad Barizi Ali, Raden Muhammad Ammattulloh, Fathia Irbati Ammatulloh, Fathia Irbati Ammatulloh, Fathia Irbati Andi Kamariah Andri Pranolo Arief, Husniah Arif Wirawan Muhammad Arwinsyah Arwinsyah, Arwinsyah Asfah, Indrawaty Ashabul Kahfi Susanto Asriati Ayu .H, Sendi Sandra Azhari, Cindy Azwar Abbas Bakri Muhammad Bakhiet Budiarti, Gita Indah Citra Prasiska Puspita Tohamba, Citra Prasiska Puspita Danial Hilmi Darmawansyah Alnur, Rony Darmiany Destiyanti, Intan Dewi Pramudi Ismi, Dewi Pramudi Dharma Ariawan, Ade Dimas Chaerul Ekty Saputra Djumhur, Adang Dwi Hastuti Dwi Normawati, Dwi Dwiza Riana Dzaki , Arif Rahman Edy Setyawan Eirene, Jessica Endo, Hiroyuki Endri Junaidi, Endri Enok Sureskiarti Fadlansyah, Holy Faiz, Faadihilah Ahnaf Faizah Faizah Fariza, Riska Fauzan Hari Sudding Fika Novatiana Furizal, Furizal Gesbi Rizqan Rahman Arief Hadi Saputra Hadi, Muhammad Saepul Hafizh, Muhammad Naufal Hajar, Andi Hardianti Hardianti, Hardianti Hewiz, Alya Shafira Himala Praptami Adys Husniati Husniati, Husniati Imam Riadi Insan Kamil Sinaga Ismail Ismail Jamilah Jamilah Jaya, Erlangga Jefree Fahana Kamal, Mustapa Kamal, Sofia Kamariah, Andi Kartoirono, Suprihatin Khosyi'ah, Siah Kusaka, Satoshi Kyswantoro, Yunita Firdha Lubis, Dhian Wahyudi Mahmuddin Adriansyah Mao, Yingchi Milkhatun, Milkhatun Muhammad Fahri Jaya Sudding Muhammad Kunta Biddinika Murein Miksa Mardhia Musdalifah Musdalifah Musdalifah Nabila, Ai Negara, Candra Putra nisa, Anisa Shahratul Jannah Nugroho, Prasetiyanto Nur Fatimah Nur Robiah Nofikusumawati Peni Nurfitrah Nuril Anwar, Nuril Octaviantara, Adi Pangistu, Lalu Arfi Maulana Purnaramadhan, Riza Putri, Zelza Alifvia Samudera RAMADAN, RIZKY Robin, Qori Aulia Rosyid A.A, Achmad Rully Charitas Indra Prahmana Safitri, Bunga Safitri, Citra Dwi Sahadi, Syah Reza Pahlevi Seny Luhriyani Sunusi Seny Luhriyani Sunusi Setiawan, Dimas Aji Son Ali Akbar Soviyah Sudding, Muhammad Fahri Jaya Sugianto Sugianto Suhail, Faiq Surya Anantatama Sembiring Suryanto, Imam Suryanto, Indra Swara, Ajie Kurnia Saputra Syaefullah, Syaefullah Syafatullah, Muhammad Rafli Syafrina Lamin, Syafrina Syahriyah, Shilfia Fadhilatul Syuhadak Syuhadak Tanikawa, Kanako Topani, Muhammad Alfikri Maida Tuti Purwaningsih, Tuti Ummi Athiyah Wardoyo, Girindra Sulistiyo Zaman, Azmi Badhi'uz Zaman, Azmi Badhi’uz