Article Per Year (5 Year)
p-Index From 2021 - 2026
11.16
P-Index
This Author published in this journals
All Journal Jurnal Keperawatan PROtek : Jurnal Ilmiah Teknik Elektro Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Promotif: Jurnal Kesehatan Masyarakat Jurnal INSYPRO (Information System and Processing) Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Informasi Kesehatan Indonesia (JIKI) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Health Sciences Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Ainet : Jurnal Informatika Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Babali Nursing Research Madaniya J-PEN Borneo : Jurnal Ilmu Pertanian Tangible Journal Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Buletin Sistem Informasi dan Teknologi Islam Joutica : Journal of Informatic Unisla Jurnal Ilmu Komputer PELS (Procedia of Engineering and Life Science) Jurnal Informatika Progres Media Bina Ilmiah International Journal of Health and Information System (IJHIS) Jurnal Abdimas Jatibara Pangulu Abdi: Jurnal Pengabdian Kepada Masyarakat VISA: Journal of Vision and Ideas Jurnal Intelek Dan Cendikiawan Nusantara ARUS JURNAL SAINS DAN TEKNOLOGI Jurnal Intelek Insan Cendikia International Journal of Research in Counseling Journal of Green Complex Engineering Journal of Muhammadiyah’s Application Technology Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Jurnal Medis Umum
Titin Wahyuni
Universitas Muhammadiyah Makassar
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 95 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 95 Documents
Search

 6   7   8   9   10 
PENERAPAN ALGORITMA MOBILENETV2 UNTUK KLASIFIKASI HURUF HIJAIYAH BERBASIS GESTUR TANGAN Muh. Riswan; Titin Wahyuni; Chyquitha Danuputri; Emil Agusalim Habi Talib; Muhammad Faisal; Lukman Anas; Andi Agung
PROGRESS Vol 18 No 1 (2026): April
Publisher : P3M STMIK Profesional Makassar

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

Abstract

The digitalization of religious education offers significant opportunities to enhance Hijaiyah letter learning, particularly for the hearing-impaired community through visual gesture recognition. This study aims to develop and evaluate a real-time web-based classification system for 28 Hijaiyah hand gestures using the MobileNetV2 architecture. The research methodology involves a quantitative approach utilizing transfer learning with a balanced dataset of augmented images. The model was trained using fine-tuning techniques and deployed on a web platform using TensorFlow.js and MediaPipe for efficient on-device inference. Experimental results demonstrate that the model achieved an overall accuracy of 84% on the independent test set, with specific classes reaching near-perfect detection in real-time scenarios, although misclassification persisted among visually similar gestures. The system effectively balances computational efficiency with classification performance, minimizing latency during user interaction. In conclusion, the implementation of MobileNetV2 facilitates a responsive and accessible educational tool, proving the viability of computer vision in creating inclusive religious learning environments without requiring complex server-side infrastructure.
PENERAPAN MODEL ESRGAN UNTUK UPSCALING CITRA DAN VIDEO DIGITAL Syahrul Suhardi; Emil Agusalim Habi Talib; Fahrim Irhamna Rachman; Titin Wahyuni; Muhammad Faisal; Muhammad Syafaat S.Kuba
PROGRESS Vol 18 No 1 (2026): April
Publisher : P3M STMIK Profesional Makassar

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

Abstract

Low-resolution images and videos remain a common problem in various digital applications due to limited visual quality. Conventional interpolation-based upscaling methods often produce blurry results and lead to the loss of important texture details. This study aims to apply the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) to improve the resolution of digital images and videos. The dataset used consists of low-resolution images and videos that are processed through preprocessing, model training, and testing stages using the Google Colab environment. The ESRGAN model is trained to generate high-resolution images while preserving visual details and structural information. Model performance is evaluated using the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and visual comparison between images before and after the upscaling process. The results show that ESRGAN significantly improves the quality of images and videos compared to conventional interpolation methods, both quantitatively and qualitatively. Therefore, the application of ESRGAN is considered effective for enhancing the resolution of digital images and videos and can be utilized in applications that require high visual quality.
MONITORING DAN NOTIFIKASI REAL-TIME PERUBAHAN FILE PADA WEB SERVER MENGGUNAKAN WATCHDOG DAN TELEGRAM BOT SEBAGAI SISTEM PERINGATAN DINI Syahrul Hasbir; Emil Agusalim Habi Talib; Fahrim Irhamna Rachman; Titin Wahyuni; Muhammad Faisal; Muhammad Syafaat S.Kuba
PROGRESS Vol 18 No 1 (2026): April
Publisher : P3M STMIK Profesional Makassar

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

Abstract

Web servers are critical infrastructures for delivering digital services and are highly vulnerable to unauthorized file changes that may threaten system security and service availability. However, many conventional monitoring systems still rely on periodic checking mechanisms, which often fail to provide timely detection of security incidents. This study aims to design and implement a real-time file change monitoring system on a web server using the Watchdog library and a Telegram Bot as an early warning mechanism. The research adopts an applied research method with an experimental approach. The system is developed using the Python programming language and evaluated in a local XAMPP-based web server environment, with the uploads directory selected as the monitoring target. Experimental results demonstrate that the proposed system is capable of detecting various file change events, including file creation, deletion, content modification, and file renaming, in real time without event loss. Notifications delivered via the Telegram Bot provide clear, timely, and actionable information to administrators. These findings indicate that the proposed event-driven monitoring system is effective and efficient in enhancing web server security and improving incident response capabilities.
A Hybrid Salp Swarm Optimization and Behavioral Nudge Framework for Optimizing Software Developer Task Allocation Ashabul Kahfi; Muhammad Faisal; Titin Wahyuni; Desi Anggreani; Darniati Darniati; Muhammad Syafaat S Kuba; Andi Makbul Syamsuri; Ida Mulyadi
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 15 No. 2 (2026)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v15i2.106920

Abstract

Effective task allocation is critical in Agile software development, yet most optimization-based approaches treat it as a purely technical scheduling problem and disregard behavioral factors such as motivation, fairness, and engagement. This study proposes a Hybrid Salp Swarm Optimization–Behavioral Nudge Framework (HSSO–BNF) for developer–task allocation that integrates technical constraints with human-centered cues. The model formulates allocation as a multi-objective function combining workload balance, skill mismatch, deadline penalties, and a motivation score derived from three nudge components: Motivational Cue (MC), Social Comparison (SC), and Effort–Reward Feedback (ERF). These behavioral signals are embedded directly into the SSO position update and fitness evaluation, enabling the swarm to adapt simultaneously to performance and motivational states. Experiments on real developer–task records collected from GitHub compare HSSO–BNF against GA, PSO, and standard SSO using convergence behavior, allocation cost, fairness, satisfaction, and motivation dynamics. The results show that HSSO–BNF achieves faster and more stable convergence, reduces allocation cost by approximately 32% compared with GA and SSO and about 25% compared with PSO, and improves workload fairness and developer satisfaction while preserving psychologically sustainable specialization patterns. Heatmap visualizations and motivation trends further confirm that the behavioral layer produces more coherent and interpretable task assignments, indicating that behavior-aware metaheuristics are a promising direction for intelligent, human-centered task allocation in Agile teams.
Turning Turnitin Highlights into Structured Data with Report-Aware HSV Segmentation and GPU-Enabled OCR Mutiara yusuf; Rizki Yusliana Bakti; Titin Wahyuni
Journal of Green Complex Engineering Vol. 4 No. 1 (2026): August
Publisher : Gio Architect

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59810/greenplexresearch.v4i1.284

Abstract

Turnitin similarity reports contain rich spatial, color, and textual information, yet highlighted passages are usually inspected visually rather than converted into structured data. This study develops a report-aware pipeline that transforms color-coded Turnitin highlights into analyzable records. The method combines PDF rendering, page-type triage, hue–saturation–value (HSV) segmentation, morphological processing, connected-component analysis, geometric filtering, and GPU-enabled optical character recognition (OCR), with PDF text-layer inspection as supporting information. The evaluation corpus comprised 106 reports and 3,057 pages. Page triage identified 1,315 highlight-bearing pages and routed 56.98% of pages away from detailed processing. HSV segmentation produced eight color classes and 11,471 pre-filter components. After filtering and text extraction, 7,530 structured records were retained; 76.75% satisfied the predefined good-readability criterion, 20.04% were very short fragments, and 3.21% were noisy, garbled, or empty. Document workload was strongly right-skewed. The results establish systems-level feasibility for auditable extraction without treating textual similarity as automatic evidence of plagiarism or the readability indicator as OCR accuracy.
Co-Authors . Darniati Abdul Rakhim Nanda Achmad Yanu Aliffianto Adi Malik Muhammad Mutsuhito Aditya, Dwi Martha Nur Adrianingsih, Rizka Agung, Andi Agustiawal Agustiawal Agustin Dwi Syalfina Ahmad Faisal Ahmad Risal Aiman , Ailul Alfina Aisatus Saadah Alfina Aisatus Saadah Amelia, Azarine Nahdah Amir Ali Anang Sulistyo Andi Agung ANDI AGUNG DWI ARYA BULU Andi Makbul Syamsuri Andi Yusri Andi Yusri andi Yusri Anita Dahliana Arfandi, Viki Fahril Arianti, Kencana Indah arikal khairat Arshy Prodyanatasari Arvianda Asep Indra Syahyadi Ashabul Kahfi Aswad, Muh. Akhwan Adam Baba, Haedir Bakti, Riski Yusliana Bakti, Rizki Yusliana Bambang Nudji Bisono, Eva Firdayanti Cantika Aprilia Santi Chatarina Umbul Wahyuni Cholifah . Cholifah, Cholifah Christine Christine Chyquitha Danuputri Danuputri, Chyquitha Darniati Darniati Darniati Desi Anggreani Dewi, Syamrilla Djalil, Sony Achmad Dzakki Adam, Ahmad Wildan Emil Agus Salim Habi Talib Erick Yusuf Kotte Erika Yanti Fachrim Irhamma Rahman Fachrim Irhamna Rachman Fahmi Ramadhan S Fahrim Irhmna Rachman Ferdiansyah Firdaus , Abidatu Zahrotul Firman Firman Firman Firman Fitrianti, Dwi Framz Hardiansyah Haidul, Haidul Halisah Duli, St Nur Haruna, Hanjas Hasbir, Syahrul Hidayanti, Sukria Hidayat, Andra Dwitama Ida Ida Ida Mulyadi, Ida Indriani, Lis Jaelan Usman, Jaelan Kamal, Safutri Kazman Riyadi Khafi, Moh. Zainul Krisnita Dwi Jayanti Krisnita Dwi Jayanti, Krisnita Dwi La Ode Taufik Ismail Listiawan, Nadhila Lukman LUKMAN ANAS Lukman Lukman Maharani, Eva Ratih Masyfufah, Lilis Masyfufah, Lilis  Maylina Surya Wirawati Pribadi Mone, Ansyari Muh. Akhwan Adam Aswad Muh. Riswan Muhadi, Muhadi Muhammad Faisal Muhammad Hasraddin Hasnan Muhammad Syafaat S Kuba Muhammad Syafaat S. Kuba Muhyiddin A.M Hayat Mujadilah, Siti Muslimah, Nurul Aulia Mustakim Mustakim Mutiara yusuf Nadhila Listiawan Naila, Faiqotun Nandy Rizaldy Najib Natsir, Fitra M. Nisha, Khairun Nova Mellania Novianti, Siti Nur Alam Nur Annisa Syarifuddin Nurfadilla, Destiani Irma Nurfadillah Nurfadillah Nurnawaty Octavia, Winda Dwi Pandin, Maria Yovita R. Pribadi, Maylina Surya Wirawati Puspadewi, Intan Putra, Yunior Bimasekti RAHMANIA Rahmania Rahmawati, Ayu Isnaini Ramadhan S, Fahmi Reski Awalia Retnowati Prihandini Ridwang Ridwang Ridwang Ridwang Ridwang, Ridwang Rinaldy, Muh Risal Haris Riswan, Muh. Rizky Maulia Rizky Yusliana Bakti Rosyiari, Ahniyatul Ilmiyah Salsabila, Damai Arsila Sari, Selvi Permata Sa’adah, Alfina Asiatus Setiawan, Mohammad Yusuf Setiawan, Tommy Reynaldy Shafira Trisnanda Fatimatus Zahra Siti Fatimatuz Zahroh Siti Mujanah Slamet Riyadi Sri Hastati Suhardi, Syahrul Sukmantoro, Agung Anjar SULASTRI Suryadinata, Rivan Virlando Sutha, Diah Wijayanti SYAFAR, A. MUHAMMAD Syahrul Hasbir Syahrul Suhardi Syarifuddin, Nur Annisa TANTRI INDRABULAN Titik Khawa Abd Rahman Umi Khoirun Nisak Wibawa. Ar, Arya xss, aa xx Yulianita, Novi Eka Zul fikar