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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Techno.Com: Jurnal Teknologi Informasi Elkom: Jurnal Elektronika dan Komputer Seminar Nasional Informatika (SEMNASIF) WARTA Emitor: Jurnal Teknik Elektro Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika INTECOMS: Journal of Information Technology and Computer Science Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat The IJICS (International Journal of Informatics and Computer Science) Indonesian Journal of Business Intelligence (IJUBI) International Journal of Informatics and Computation Journal of Applied Engineering and Technological Science (JAETS) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pendidikan dan Teknologi Indonesia Emerging Information Science and Technology Proceeding ISETH (International Summit on Science, Technology, and Humanity) Jurnal Bakti Nusa Prosiding University Research Colloquium Abdi Teknoyasa Mestro Shahih : journal of islamicate multidisciplinary The Indonesian Journal of Computer Science Jurnal Pengabdian Teknik dan Sains (JPTS) ABDIMASTEK Computing and Information System Journal Dedikasi Nusantara Indonesian Journal on Learning and Advanced Education (IJOLAE) Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Aris Rakhmadi
Universitas Muhammadiyah Surakarta
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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A Mobile Sign Language Dictionary: Enhancing Communication for the Deaf and Mute Rakhmadi, Aris; Wulandari, Novita Desi; Rosad, Safiq; Syukri, Muhammad
Mestro: Jurnal Teknik Mesin dan Elektro Vol 7 No 1 (2025): Edisi Juni
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v7i1.617

Abstract

Communication is fundamental to human interaction, yet individuals who are deaf or speech-impaired often face barriers due to limited accessibility to sign language resources. This study presents the development of a mobile sign language dictionary designed to enhance communication and learning. Traditional sign language dictionaries, whether in printed or video formats, present challenges in accessibility, usability, and portability. In contrast, a mobile application offers an interactive, efficient, and user-friendly solution. The proposed application integrates gesture recognition, video demonstrations, and text-based explanations to facilitate sign language learning. By leveraging artificial intelligence (AI) and cloud-based storage, the app ensures accurate sign recognition and provides a comprehensive database of gestures, including letters, numbers, root words, prefixes, suffixes, and commonly used phrases. A structured methodology involving requirement analysis, data collection, design, development, testing, and revision was applied to develop a functional and accessible tool. User testing demonstrated high engagement and learning effectiveness, with 85% of participants reporting increased comfort with mobile learning tools, 82.5% finding the app beneficial for sign language acquisition, and 90% improving their familiarity with sign words. These results confirm that a mobile sign language dictionary is an efficient educational tool that fosters inclusivity and communication accessibility. Future enhancements, including database expansion, additional sign language dialects, and interactive exercises, can further improve the application’s impact.
Interactive Motion-Sensing Game for Improving Physical Education in Students with Intellectual Disabilities Rakhmadi, Aris; Puspitasari, Yuliana; Yasin, Fatah; Sulistyo Nugroho, Yusuf; Fadlillah, Umi
Mestro: Jurnal Teknik Mesin dan Elektro Vol 7 No 1 (2025): Edisi Juni
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v7i1.637

Abstract

Students with intellectual disabilities often face challenges in physical education due to limited motor coordination, reduced engagement, and difficulties following traditional instructional methods. To address this, motion-sensing technology, particularly Kinect-based educational games, presents a promising solution by offering interactive and gamified learning experiences. This study explores the development and implementation of a Kinect-based educational game designed to enhance motor skills and engagement in students with intellectual disabilities. The game focuses on throwing exercises, providing real-time feedback through visual and auditory cues to reinforce learning. The study was conducted at SLB-C YPSLB Surakarta, involving 20 students with intellectual disabilities and five special education teachers. A pre-test and post-test evaluation was used to assess students' motor skill improvement and engagement levels before and after using the game. The results demonstrated a 26.3% increase in throwing accuracy, a 26.9% rise in engagement levels, and a significant reduction in reaction time, indicating the game's effectiveness in enhancing physical coordination and participation. Teacher feedback highlighted the game's usability, ability to maintain student focus, and alignment with PE learning objectives. Although the findings showed positive learning outcomes, several challenges, such as the initial adaptation period and the need for a wider variety of games, were identified. Future research should focus on customizing difficulty levels, varying physical activities, and AI-powered adaptive learning to meet the needs of individual students. This study highlights the potential of motion-sensing educational games as an effective tool for inclusive and engaging physical education for students with intellectual disabilities.
LEVERAGING THE SAW METHOD IN A DECISION SUPPORT SYSTEM TO IMPROVE ELDERLY NUTRITION AT LAWEYAN HOME FOR THE ELDERLY Rakhmadi, Aris; anshori, Anshori
Jurnal Bakti Nusa Vol. 6 No. 2 (2025): JURNAL BAKTI NUSA
Publisher : Jurusan Teknik Elektro Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/baktinusa.v6i2.144

Abstract

  This community engagement initiative addresses nutritional challenges among elderly residents at the Laweyan Home for the Elderly in Surakarta by developing a Decision Support System (DSS) utilizing the Simple Additive Weighting (SAW) method. The DSS was designed to assist caregivers in making informed meal selections based on individualized health profiles, including demographic data, medical conditions, and allergy history. Implemented as a web-based application, the system enables users to input resident data and receive prioritized dietary recommendations aligned with established nutritional criteria. The SAW algorithm processes multi-criteria input to rank food alternatives effectively. Empirical validation using real-world data demonstrated the system's capacity to generate accurate, personalized suggestions that support improved nutritional outcomes. Additionally, caregiver training and participatory implementation ensured practical usability and sustainability. This project highlights the potential of integrating algorithmic decision-making with community-based care to enhance the quality of elderly nutrition management in institutional settings.
VGG16-Based Feature Extraction for Arabic Alphabet Sign Language Classification to Support Qur'anic Tadarus Accessibility Rakhmadi, Aris; Yudhana, Anton; Sunardi, Sunardi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4953

Abstract

This study addresses the limited availability of automated recognition systems for Arabic Alphabet Sign Language (ArSL), particularly in facilitating Qur’anic Tadarus for the deaf and hard-of-hearing community. While research on American and Indonesian sign languages has advanced significantly, ArSL studies, especially for static alphabet gestures, remain underrepresented. The aim of this research is to develop an accurate and efficient ArSL classifier using the VGG16 convolutional neural network with transfer learning. The study employs the publicly available RGB Arabic Alphabets Sign Language Dataset, comprising 7,856 annotated images across 31 Hijaiyah letters, collected under varied backgrounds and lighting conditions. The proposed model integrates pretrained ImageNet weights with a customized classification head, trained through a two-stage fine-tuning process with data augmentation. The model achieves 97.07% test accuracy, performing competitively against a ResNet-18 baseline (98.0%) while offering a simpler architecture suitable for resource-constrained deployments. Evaluation using precision, recall, F1-score, and confusion matrix shows consistently high performance, with minor misclassifications among visually similar letters. This work demonstrates a novel application of VGG16-based deep learning for ArSL recognition, contributing to inclusive religious education and accessibility technologies.
A Systematic Implementation of the Waterfall Model in E-Commerce System Development for Small Businesses Rakhmadi, Aris; Iqbal Firdaus, Malvin; Sulistyo Nugroho, Yusuf
Computing and Information System Journal Vol. 1 No. 1 (2025): Technological Innovation for System Automation and Efficiency
Publisher : IndoCompt Publisher

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

Abstract

The Waterfall model remains a widely used software development methodology, offering a structured, phase-driven approach to system development. This study applies the Waterfall model in developing a web-based e-commerce system for small businesses, aiming to improve business operations, usability, and system efficiency. The system was implemented for Anisha Klapertart and Cake to address manual sales and inventory management inefficiencies. Black Box Testing confirmed 100% functionality across core modules, including authentication, product management, and order processing. Usability testing using the System Usability Scale (SUS) with 30 respondents resulted in a score of 70.16, categorizing the system as "Good" and "Acceptable". Despite its benefits, challenges include limited adaptability to requirement changes and scalability concerns. Future enhancements will focus on integrating a payment gateway, improving security, and adding customer loyalty programs. These findings demonstrate the practicality of the Waterfall model in structured e-commerce development, offering valuable insights for small businesses transitioning to digital platforms.
A Conceptual Framework for Integrating SUS into ITIL: Enhancing IT Service Management Through Usability Evaluation Rakhmadi, Aris; Rochmadi, Tri; Azis, Abdul; Ayuningtyas, Astika; Sarmini; Wahyusari, Retno
The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i5.4842

Abstract

Effective IT service management must combine operational excellence with seamless user experience in today's digital era. This paper introduces the Deployment and Integration Framework for Assessment (DIFA), a conceptual model that integrates the System Usability Scale (SUS) within the IT Infrastructure Library (ITIL) framework. ITIL offers a structured approach to aligning IT services with business objectives, while SUS provides reliable usability measurements from the user's perspective. By embedding SUS assessments throughout ITIL's lifecycle—spanning service strategy, design, transition, operation, and continual improvement—DIFA enables organizations to evaluate and enhance IT services' usability systematically. This integration bridges the gap between process efficiency and user satisfaction, supporting informed decision-making, improved service adoption, and better alignment with user needs. The findings highlight the strategic value of combining usability evaluation with ITIL's best practices, offering a sustainable and scalable pathway for organizations to deliver IT services that are both technically robust and intuitively user-friendly.
Pengembangan Sistem Perancangan Manajemen Usaha Kecil Menengah Bidang Kuliner dengan Metode Swot Gumawang, Aldino Kemal Adi; Rakhmadi, Aris
Prosiding University Research Colloquium Proceeding of The 7th University Research Colloquium 2018: Bidang Teknik dan Rekayasa
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

Usaha Kecil Menengah (UKM) merupakan sebuah kegiatan ekonomirakyat produktif berskala kecil di bidang industri kelas menengah kebawah. Untuk memulai dan menjalankan industri ini dibutuhkansebuah sistem informasi yang dapat mengungkap serta menganalisisfakta di lapangan untuk membantu perencanaan strategis danmengevaluasi kekuatan (strengths), kelemahan (weaknesses), peluang(opportunities), ancaman (threats) suatu spekulasi industri, analisisSWOT dapat diterapkan dalam menentukan perencanaan usaha.Analisis SWOT secara manual memerlukan waktu yang cukup lamakarena seorang analis SWOT harus berhati-hati dalam menempatkandata faktual yang ada di lapangan kedalam butir-butir SWOT.Aktivitas ini dapat dibantu dengan aplikasi komputer sehingga prosesanalisis SWOT dapat dilakukan dengan cepat. Aplikasi ini dibangundengan bahasa pemrograman PHP dan Javascript dengan teknologiSPA (Single Page Application)
Web-Based Application for Single Elimination Tournament Using Linear Congruential Generator Rakhmadi, Aris; Nugroho, N
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2016: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2390

Abstract

Sport develops in various branches through various tournaments and is generally organized in the drawing mechanism. The process of drawing is to determine the opponent for each participant. The purpose of this study was to facilitate the organizing committee to manage the data participants and to draw the single elimination diagram match. Other purposes were to facilitate participants to gather information and to register the information via online system. Analysis of requirement formulated the needs of the system. The result of the analysis determined the concept of admin and user use case. The admin has some privileges in the selection and seed priorities of the participants. Subsequently, the system drew and randomised the scheme chart based on the seed category. This research had produced a web-based drawing application which was useful to support each single elimination tournament including of information, registration, and drawing process.
Pengenalan Pola Huruf Hijaiyyah dengan Metode CNN untuk Bahasa Isyarat Arab Khoirunnisa, Siska; Rakhmadi, Aris
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 12 (2025): JPTI - Desember 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1172

Abstract

Bahasa Isyarat Arab (Arabic Sign Language/ArSL) merupakan sarana komunikasi utama bagi penyandang tunarungu, termasuk dalam pembelajaran Al-Qur’an. Namun, keterbatasan teknologi dalam mengenali bahasa isyarat secara otomatis menjadi hambatan serius terhadap akses pendidikan agama yang inklusif. Penelitian ini bertujuan untuk mengenali pola huruf hijaiyyah dalam ArSL dengan memanfaatkan metode Convolutional Neural Network (CNN) melalui pendekatan transfer learning dan fine-tuning pada empat arsitektur pralatih, yaitu MobileNetV2, EfficientNetB0, VGG16, dan ResNet50. Dataset yang digunakan terdiri dari 7.856 citra RGB tangan yang mewakili 31 huruf hijaiyyah, yang dibagi menjadi data pelatihan, validasi, serta pengujian. Evaluasi dilakukan menggunakan metrik accuracy, precision, recall, F1-score, serta efisiensi komputasi berdasarkan ukuran model dan waktu inferensi. Hasil penelitian memperlihatkan bahwa ResNet50 memperoleh akurasi tertinggi sebesar 98,35%, diikuti MobileNetV2 (97,84%), EfficientNetB0 (97,71%), dan VGG16 (97,07%). Meskipun demikian, MobileNetV2 memiliki ukuran model terkecil dan kecepatan inferensi tercepat, sehingga paling sesuai untuk implementasi pada perangkat dengan keterbatasan sumber daya. Analisis confusion matrix juga menunjukkan kesalahan klasifikasi terutama pada huruf yang memiliki kemiripan visual, seperti dal–dzal dan ta–tha. Penelitian ini menegaskan efektivitas CNN berbasis transfer learning dalam pengenalan huruf hijaiyyah bahasa isyarat Arab serta memberikan kontribusi nyata terhadap pengembangan sistem pembelajaran agama yang lebih inklusif bagi penyandang tunarungu.
CNN-Based SIBI Sign Language Recognition Alphabet: Exploring the Impact of Hardware on Model Training Rakhmadi, Aris; Yudhana, Anton; Sunardi, Sunardi
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 1 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i1.7071

Abstract

The recognition of Sign Language Alphabets (SLA) plays a vital role in human-computer interaction, especially for individuals with auditory disabilities. This study aims to evaluate the impact of different hardware configurations—specifically CPU, GPU, and memory setups—on the training efficiency and recognition performance of a Convolutional Neural Network (CNN)-based model for SLA using the SIBI dataset. The novelty of this research lies in its focus on hardware-aware deep learning optimization for Indonesian sign language (SIBI), an underexplored area. The model was trained on 3,468 labeled hand gesture images representing 24 SIBI alphabet signs. Experiments were conducted on CPU (Intel Xeon 2.00 GHz) and GPU (Nvidia Tesla T4) platforms using a consistent CNN architecture. The training time was significantly reduced by 45.5%, from 1 hour 39 minutes to just 54 minutes, while the accuracy remained consistent at 96.7%, showing no significant change between the two setups. These results demonstrate the significance of parallel processing and memory bandwidth in enhancing model convergence and generalization. The findings are relevant for real-time SLA deployment with hardware constraints on embedded or mobile platforms. Overall, the study underscores the importance of hardware optimization in accelerating CNN training and improving performance in sign language recognition systems.
Co-Authors Abdul Azis Ady Purna Kurniawan Agus Triyono Aji, Doni Kurnia Aldino Kemal Adi Gumawang Anshori Anshori, Anshori Anton Yudhana Anton Yudhana Ariyanto, Ragil Astika AyuningTyas, Astika Atha Rahmad Zulfikhar Dewi Soyusiawaty Dhimas Hidayat Dienulloh Ulil Abshar, Muhammad Dimara Kusuma Hakim Dimara Kusuma Hakim Esi Putri Silmina Fadlillah, Umi Fadlillah, Umi Fatah Yasin Fikamelyalla, Naura Gumawang, Aldino Kemal Adi Hartono, Susilo Ihsan Cahyo Utomo Iqbal Firdaus, Malvin Ira Candra Dewi Wulan, Puspa Irma Yuliana Joko Handoyo Khoirunnisa, Siska Lukito Edi Nugroho Mega Fatimah Rosana Muchlas Muchlas, Muchlas Muhammad Abdurrahman Hasan Muhammad Nashif, Haidar Naura Fikamelyalla Novelia Gunawan, Saomi Novilia Purwita Putri Nugroho, N Nurgiyatna Puspitasari, Yuliana Putri, Novilia Purwita Qanza, Aiza Fravy Ragil Ariyanto Rahmawati, Nila Dwi Ratnasari Nur Rohmah Rochmadi, Tri Rochmijatun, Siti Rully Medianto, Rully Safiq Rosad Sarmini Silmina, Esi Putri Siti Rochmijatun Sri Winiarti Sunardi Sunardi Sunardi Sunardi Syarifur Rizal Miftahul Hasan Ulva Erida Nur Rochmah Umi Fadlillah Wahyu Akbar Wahyusari, Retno Winiarti, Sri Wulandari, Novita Desi Yanti Haryanti Yuli Rahmawati Yusrifa, Khumaila Masfarina Yusuf Sulistyo Nugroho