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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 Computatio : Journal of Computer Science and Information Systems INTECOMS: Journal of Information Technology and Computer Science Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Building of Informatics, Technology and 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 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 Mestro Shahih : journal of islamicate multidisciplinary The Indonesian Journal of Computer Science ABDIMASTEK Computing and Information System Journal Dedikasi Nusantara Indonesian Journal on Learning and Advanced Education (IJOLAE)
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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Implementation of Simple Additive Weighting to Decide a Fund Proposal Rakhmadi, Aris; Rahmawati, Nila Dwi
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20741

Abstract

One of Indonesian micro financial services is Baitul Maal Wat Tamwil (BMT) provides services such as savings, financing and zakat activities. Financing service determine qualifying status based on consideration of customer files before carried out in company discussions. This decision support system aims to provide officers to decide whether or not to admit funding. The research used Simple Additive Weighting (SAW) by finding the prejudiced sum of the performance ratings for each alternative from all criteria. The method used 7 criteria including income, outstanding loans, amount of financing, collateral, nature/environment, track record of financing and monthly expenses. Customers were declared acceptable if they had a preference value above the minimum limit of 16.1. The BMT officer can adjust the minimum limit value according to customer performance. To develop the system used waterfall method and to verify system performance used a black box test which shows the results that the system works according to its function and the validity test results obtained 100% accurate. It means the system is ready and suitable for use. The existence of this decision support system is able to assist officers in making decisions to qualify for financing objectively.
Information System of Teacher Assignment Journal in Wooi State Junior High School Rakhmadi, Aris; Yusrifa, Khumaila Masfarina
Mestro: Jurnal Teknik Mesin dan Elektro Vol 6 No 01 (2024): Edisi Juni
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v6i01.552

Abstract

The teaching journal recording system is a document of evidence of teaching implementation that can guarantee the quality and quantity of the learning process. Wooi State Middle School, Wonawa District, Yapen Islands Regency, Papua still records teaching journals manually by handwritten. The aim of this research is to develop a teacher assignment journal information system as a solution to the problems experienced by Wooi State Middle School in the form of scattered journal summaries. This system development uses prototyping and implementation using HTML, PHP, CSS, Javascript, MySQL, and the CodeIgniter Framework. Research has produced a journal information system that provides website-based journal recording and recording features. The research used the Blackbox testing method to test all available features, and this method stated that everything worked well. The system also passed testing using the System Usability Scale (SUS) method which resulted in a score of 74.62, which means it is acceptable.
A STUDY OF WORLDWIDE PATTERNS IN ALPHABET SIGN LANGUAGE RECOGNITION USING CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS Rakhmadi, Aris; Yudhana, Anton; Sunardi, Sunardi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4202

Abstract

Sign Language Recognition (SLR) has become an essential area of research due to its potential to promote understanding between the deaf and hearing communities through communication. This paper provides an in-depth study of various methodologies and models employed in SLR, focusing on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). We analyze their application to datasets from various sign languages, such as Arabic Sign Language (ArSL), American Sign Language (ASL), and British Sign Language (BSL), and explore how these models improve the recognition of dynamic, multi-dimensional hand gestures. This research not only advances the understanding of deep learning applications in sign language recognition but also addresses critical challenges in data processing and real-time applications, paving the way for inclusive technologies in informatics and human-computer interaction. Despite the progress in applying deep learning techniques to SLR, several challenges remain, particularly in dataset limitations, handling large vocabularies, and ensuring consistent performance across diverse environments and signers. The paper also investigates the broader applications of SLR, such as virtual reality, healthcare, education, and accessibility, and discusses the integration of SLR with human-computer interaction systems. Furthermore, it highlights current limitations in the field, such as difficulties with video data handling, the need for standard datasets, and issues related to training computational models. Finally, the paper outlines future research directions, including developing more robust SLR systems that can function effectively in uncontrolled environments, improving data collection methodologies, and creating real-time, user-friendly applications to assist the community of deaf and hard-of-hearing individuals.
Virtual Reality and Augmented Reality in Sign Language Recognition: A Review of Current Approaches Aris Rakhmadi; Anton Yudhana; Sunardi Sunardi
International Journal of Informatics and Computation Vol. 6 No. 2 (2024): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v6i2.94

Abstract

This paper delivers a comprehensive review of the current approaches to Sign Language Recognition (SLR) using Virtual Reality (VR) and Augmented Reality (AR) technologies. Sign language is essential for communication within the deaf and hard-of-hearing community, and traditional SLR methods have faced several challenges, including limited gesture recognition, lack of context awareness, and scalability. VR and AR, with their immersive and interactive environments, offer promising solutions to overcome these limitations. This review explores how VR and AR can enhance SLR by providing real-time feedback, personalized learning experiences, and more dynamic and engaging systems. It also examines the integration of VR and AR with advanced technologies such as machine learning and computer vision, which have significantly enhanced the accuracy and efficiency of sign language recognition. Despite progress, challenges related to hardware limitations, cultural diversity, and user experience remain. The paper concludes by highlighting future directions, including advancements in AI, increased affordability, and the need for interdisciplinary collaboration to ensure the development of inclusive, scalable, and accessible SLR systems
Identifikasi dan Edukasi Daerah Rawan Banjir Menggunakan Sistem Informasi Geografis Pendekatan Geospasial pada Kabupaten Karanganyar Rakhmadi, Aris; Dienulloh Ulil Abshar, Muhammad
ABDIMASTEK Vol. 3 No. 1 (2024): Juli
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/abdimastek.v3i1.2300

Abstract

Salah satu bencana alam yang sering melanda Indonesia setiap tahunnya adalah banjir. Bencana ini dapat menyebabkan korban jiwa, kerusakan bangunan, kegagalan panen, dan kerugian materi yang besar. Kabupaten karanganyar terletak di antara Gunung Lawu yang berada di sebelah timur dan Sungai Bengawan Solo di sebelah baratnya. Penelitian dan pengabdian ini mengindentifikasi daerah rawan banjir di Kabupaten Karanganyar menggunakan pendekatan geospasial untuk menentukan wilayah yang berpotensi mengalami bencana banjir. Sistem yang dihasilkan memberikan alternatif metode edukasi dan meningkatkan kewaspadaan masyarakat Kabupaten Karanganyar terhadap potensi bencana banjir di wilayahnya. Pengembangan sistem menggunakan HTML, CSS, JavaScript, dan framework Laravel sebagai frontend serta MySQL sebagai backend. Metode waterfall telah diterapkan dalam pengembangan yang dimulai dari analisis kebutuhan sampai dengan pemeliharaan. Hasil penelitian ini adalah sebuah sistem informasi geografis yang menyampaikan dan menampilkan data dalam bentuk koordinat dan lokasi terkait pemetaan daerah rawan banjir di Kabupaten Karanganyar. Kegiatan edukasi melibatkan 30 responden untuk mengevaluasi sistem menggunakan metode System Usability Scale, yang memberikan nilai 73,33 dan berkategori bagus sekali.
An IoT-Based Motorcycle Security System Using Arduino and Android for Theft Prevention Rakhmadi, Aris; Aji, Doni Kurnia; Rosad, Safiq; Azis, Abdul; Wahyusari, Retno
Compiler Vol 14, No 1 (2025): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i1.2889

Abstract

Motorcycle theft remains a prevalent issue, especially in urban areas, where traditional security measures such as mechanical locks and ignition keys are easily bypassed. This research presents an IoT-based motorcycle security system integrating Arduino, Bluetooth communication, and an Android application to enhance theft prevention. The system employs an Arduino Uno microcontroller, HC-05 Bluetooth module, and SW-420 vibration sensor to detect unauthorized access and trigger security mechanisms. Users can remotely monitor and control their motorcycles via an Android application, which allows engine immobilization and alarm activation functions. The system was tested for hardware performance, Bluetooth connectivity, and software reliability. Results indicate that Bluetooth communication remains stable within a 10-meter range, the vibration sensor effectively detects unauthorized movements, and real-time commands between the application and Arduino execute with minimal latency. Cost analysis suggests that the system, with a total hardware cost of Rp 223,000, is an affordable and effective solution for motorcycle security. Despite some range limitations, the study demonstrates the feasibility of IoT-based security enhancements. Future improvements include GPS tracking and GSM communication for extended monitoring. This research contributes to developing innovative, cost-effective, and user-friendly vehicle security solutions.
AUTOMATED ACNE TYPE IDENTIFICATION THROUGH FORWARD CHAINING APPROACH Rakhmadi, Aris; Fikamelyalla, Naura; Winiarti, Sri; Silmina, Esi Putri; Fadlillah, Umi; Nugroho, Yusuf Sulistyo
Indonesian Journal of Business Intelligence (IJUBI) Vol 8, No 1 (2025): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v8i1.5377

Abstract

Acne, a prevalent dermatological condition, poses significant physical and psychological challenges. Despite its widespread impact, timely and accessible diagnosis remained a barrier for many, emphasizing the need for innovative solutions. This study introduced an online consultation system for acne-type identification, leveraging a forward chaining approach within an AI-powered expert system. The system analyzed user-reported symptoms—such as severity, location, and appearance—using a rule-based inference mechanism to provide accurate diagnoses and tailored treatment recommendations. Developed using a prototype model, the system’s knowledge base was enriched through observations, literature reviews, and expert interviews, ensuring reliability and clinical relevance. Iterative testing, including black-box evaluations and a System Usability Scale (SUS) assessment, confirmed the system's functionality and user satisfaction, with a SUS score of 86.5, indicating high acceptance. The system bridged critical gaps in dermatological care, particularly for underserved communities, by enabling rapid, user-centric diagnostics and personalized recommendations. The research underscored the transformative potential of artificial intelligence and expert systems in healthcare. By integrating accessibility, scalability, and precision, the proposed system addressed the challenges of acne management and set a foundation for future advancements in dermatological diagnostics.
Enhancing Business Operations through Technology: A Community-Driven Inventory System for Dymas Kulit Home-Based Leather Craft Business Rakhmadi, Aris; Qanza, Aiza Fravy; Utomo, Ihsan Cahyo
ABDIMASTEK Vol. 4 No. 1 (2025): Juli
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/abdimastek.v4i1.3560

Abstract

This community service project aimed to assist Toko Dymas Kulit, a home-based leather crafting business in Magetan, East Java, by developing and implementing a web-based inventory management system to replace its manual tracking process. The new system, built using PHP with the CodeIgniter framework and MySQL, was designed to improve the accuracy and efficiency of inventory management by automating tasks such as tracking stock movement and generating real-time reports. As a result, the store saw a reduction of over 50% in the time spent on inventory checks, allowing staff to focus on other essential business activities. User satisfaction was high, with a System Usability Scale (SUS) score of 73.3, reflecting the system's ease of use. This initiative not only solved operational challenges for Toko Dymas Kulit but also empowered its employees with new skills, offering a valuable model for other small businesses in the community to improve their operations through technology.
The Impact of Android Applications on Hajj Pilgrims' Comprehension: A Technological Approach to Religious Guidance Rakhmadi, Aris; Rochmijatun, Siti; Nurgiyatna, Nurgiyatna; Triyono, Agus
SHAHIH: Journal of Islamicate Multidisciplinary Vol. 10 No. 1 (2025)
Publisher : Universitas Islam Negeri Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/shahih.v10i1.11202

Abstract

Hajj is a fundamental pillar of Islam that requires pilgrims to perform a series of complex rituals with precision and understanding. However, many prospective pilgrims struggle to retain and apply the necessary knowledge using traditional lecture-based instruction alone. With the rise of digital tools, mobile applications have emerged as a promising supplement to enhance religious education. This study investigates the effectiveness of two Android-based applications—Haji Pintar and Kawal Haji—in improving Hajj pilgrims' comprehension, retention, and confidence. Employing a quasi-experimental design, 133 participants were divided into a control and experimental group, with the latter incorporating mobile-assisted learning. Pre- and posttest assessments, along with surveys and semi-structured interviews, were conducted to evaluate outcomes. Results revealed that the experimental group showed significantly higher knowledge retention and confidence compared to the control group. Qualitative findings further highlighted how features such as video tutorials and interactive guides enhanced learners' emotional preparedness and engagement. This research makes a unique contribution to the literature by providing empirical evidence of the impact of mobile learning in religious contexts, utilizing mixed methods to measure comprehension outcomes. The findings offer practical implications for developing inclusive digital Hajj training, particularly for elderly users, and call for collaboration with religious institutions in designing structured, mobile-based curricula. Theoretically, the study reinforces the relevance of technology-assisted, self-paced models in Islamic education.
Digitalisasi Sistem Perpustakaan pada Perpustakaan SMA Negeri 7 Surakarta Menggunakan Metode Waterfall Muhammad Nashif, Haidar; Aris Rakhmadi
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 1 (2025): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v18i1.2924

Abstract

State Senior High School 7 Surakarta is one of the public schools located in Surakarta City. The library activities, including member data management, book processing, and book borrowing and returning, are still conducted manually using physical logbooks. This manual process is considered inefficient and prone to errors. The purpose of this study is to develop a book borrowing system at State Senior High School 7 Surakarta that serves as a tool to assist officers in recording, loans, and returning books. This system is designed using the CodeIgniter framework to support WEB displays, programming in PHP, and using MySQL for database management. This system is created using the System Development Life Cycle (SDLC) method with a waterfall model that includes the stages of analysis, design, implementation, testing, and maintenance. System testing was conducted using Black-Box Testing and the System Usability Scale (SUS). The Black-Box Testing results showed that all features and functions operated correctly. The SUS evaluation produced a score of 75.68%, indicating that users generally agreed with the implementation of the system, which falls under the "acceptable" classification.
Co-Authors Abdul Azis Abdul Fadlil 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 Dedi Ary Prasetya Dewi Soyusiawaty Dienulloh Ulil Abshar, Muhammad Fadlillah, Umi Fadlillah, Umi Faqih Dzulqarnain, Muhammad Fatah Yasin Fikamelyalla, Naura Fikamelyalla, Naura Gumawang, Aldino Kemal Adi Hartono, Susilo Ihsan Adi, Mahfud Ihsan Cahyo Utomo Iqbal Firdaus, Malvin Khoirunnisa, Siska Lukito Edi Nugroho Mega Fatimah Rosana Muchlas Muchlas Muchlas Muhammad Muhammad Ilham Muhammad Nashif, Haidar Novilia Purwita Putri Nugroho, N Nurgiyatna Puspitasari, Yuliana Putri Silmina, Esi Putri, Novilia Purwita Qanza, Aiza Fravy Ragil Ariyanto Rahmawati, Nila Dwi Ratnasari Nur Rohmah Rochmadi, Tri Rochmijatun, Siti Safiq Rosad Sarmini Silmina, Esi Putri Silmina, Esi Putri Sri Winiarti Sunardi Sunardi Sunardi Sunardi Sunardi Ulva Erida Nur Rochmah Wahyu Akbar Wahyusari, Retno Winiarti, Sri Wintolo, Hero Wulandari, Novita Desi Yanti Haryanti Yuli Rahmawati Yusrifa, Khumaila Masfarina Yusuf Sulistyo Nugroho