Article Per Year (5 Year)
p-Index From 2021 - 2026
4.964
P-Index
This Author published in this journals
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

Published : 48 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 48 Documents
Search

 1   2   3   4   5 
Empowering pilgrims through digital literacy: Evaluating ritual understanding via mobile hajj applications at KBIHU Ahmad Dahlan Aris Rakhmadi; Susilo Hartono; Muchlas Muchlas; Anton Yudhana
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 9, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v9i1.3059

Abstract

This community service initiative evaluates the impact of mobile applications, namely Haji Pintar–Satu Haji and Kawal Haji, in enhancing digital literacy and ritual understanding among pilgrims at KBIHU Ahmad Dahlan, Pringsewu. The program was implemented over a one-month period and involved participants engaging in mobile-based tutorials and mentoring activities designed to support comprehensive Hajj preparation. The learning materials focused on improving participants’ understanding of Hajj rituals while simultaneously strengthening their ability to use digital applications effectively. Survey results indicated that nearly all participants had access to Android smartphones, with 41.3% of respondents assessing their digital skills as “very good.” Among the available features, video tutorials were the most frequently accessed, accounting for 34.8% of usage, as they were perceived as clear and easy to understand. The majority of pilgrims reported improved comprehension of Hajj rituals after participating in the program. Despite these positive outcomes, several challenges were identified, including infrequent application usage, accessibility limitations for some users, and participant requests for offline learning content. Overall, the findings demonstrate the significant potential of mobile applications to support Hajj preparation through religious education and digital engagement. The study recommends further development through more inclusive application design, offline accessibility, and sustained digital engagement strategies to enhance the effectiveness of community outreach programs in religious education.
Development of a Web-Based Digital Dictionary for the Most Common Vocabulary in the Qur'an Dhimas Hidayat; Aris Rakhmadi
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9724

Abstract

Access to learning the most common Quranic vocabulary remains a challenge, particularly for the Deaf and Hard of Hearing community who face a significant lack of inclusive digital resources. Existing digital dictionaries often overlook this demographic, failing to provide crucial accessibility features such as sign language video translations. This research aims to bridge this accessibility gap by designing and developing a specialized, website-based digital dictionary focused on the most common Quranic terms. The primary contribution is an interactive and inclusive platform that integrates Arabic script, transliteration, and meaning with corresponding sign language video interpretations. The Agile Development methodology was employed, allowing for a flexible and iterative process to effectively address user feedback. This lifecycle involved key stages such as requirements planning, system modeling using UML and ERD, backend development with the Laravel framework, and functional validation via black-box testing. The testing phase demonstrated highly positive outcomes; functional validation via Black-Box testing confirmed that all system modules operated correctly according to specifications without any errors. Furthermore, the usability evaluation using the System Usability Scale (SUS) yielded an average score of 71, placing the platform in the "Good" category with an "Acceptable" level of usability.
PENGUATAN LITERASI FIQH WANITA BAGI JAMAAH HAJI MELALUI INTEGRASI PEMBIMBINGAN DAN INFORMASI DIGITAL DI KBIHU ARMINA PDM SUKOHARJO Aris Rakhmadi; Siti Rochmijatun
Abdi Teknoyasa INPRESS Volume 7, Nomor 1, Juli 2026
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan literasi fiqh wanita di kalangan jamaah haji melalui integrasi pembimbingan tatap muka dan penggunaan informasi digital. Sebagian besar peserta di KBIHU Armina PDM Sukoharjo adalah wanita, yang memerlukan pemahaman khusus terkait fiqh wanita dalam ibadah haji, seperti aturan ihram, thawaf, sa’i, serta ketentuan bagi wanita yang mengalami haid atau nifas. Kegiatan ini dilakukan dengan pendekatan interaktif melalui ceramah, simulasi praktik manasik haji, serta diskusi untuk memastikan pemahaman yang lebih mendalam. Selain itu, pengenalan aplikasi digital seperti Satu Haji dan Kawal Haji diharapkan dapat meningkatkan literasi digital jamaah. Hasil pengamatan menunjukkan bahwa pemahaman peserta terhadap materi dasar fiqh wanita dan kondisi khusus sudah baik, meskipun pemahaman terkait ketentuan dam dan aplikasi digital masih perlu diperkuat. Kegiatan ini diharapkan dapat memberikan pemahaman yang menyeluruh, serta mempersiapkan jamaah untuk melaksanakan ibadah haji dengan benar sesuai tuntunan syariat
Assessing Digital Readiness of Indonesian Hajj Pilgrims for Mobile Translation Tools Aris Rakhmadi; Susilo Hartono
JURPIKAT Vol 7 No 3 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i3.2959

Abstract

The Hajj pilgrimage takes place in a multilingual environment that requires adequate communication skills from pilgrims. Indonesian Hajj pilgrims, particularly middle-aged and elderly individuals, often face language barriers when interacting with service providers and local communities. This community service activity aimed to assess pilgrims’ digital readiness as a foundational step toward the use of technology-based communication support. Conducted in collaboration with KBIHU Ahmad Dahlan Pringsewu, Lampung, the activity involved socialization sessions, hands-on assistance, and questionnaire-based feedback from 46 Hajj pilgrims. The findings indicate that 97.8% of participants reported sufficient to excellent smartphone literacy, reflecting a strong baseline of digital readiness. Nevertheless, communication support remains an unmet need, as 69.6% of participants preferred offline-capable application features. These results suggest that mobile translation tools, such as Google Translate, have strong potential as practical communication aids during Hajj. A follow-up community service program focused on hands-on training in the use of mobile translation tools is therefore recommended.
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.
Acoustic Pattern Classification in Female Voice Using K-Nearest Neighbor with MFCC Feature Extraction Aris Rakhmadi; Joko Handoyo; Irma Yuliana; Dimara Kusuma Hakim
Mestro: Jurnal Teknik Mesin dan Elektro Vol. 8 No. 01 (2026): Edisi Juni 2026
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v8i01.794

Abstract

This study investigates the classification of acoustic patterns in female voice signals using the K-Nearest Neighbors (KNN) algorithm and Mel-Frequency Cepstral Coefficients (MFCCs). Acoustic features derived from speech signals contain important spectral information that can be utilized to distinguish variations in voice characteristics. However, variability in speech signals and overlapping feature distributions present challenges for accurate classification. To address this issue, this study employs a structured approach comprising data preparation, MFCC feature extraction, and KNN classification. Each speech sample is represented as a 58-dimensional MFCC feature vector, and the dataset is split into testing and training subsets using a 20:80 ratio. The KNN model is trained using Euclidean distance and evaluated on precision, accuracy, recall, and F1-score. The results show that the proposed approach reaches an accuracy of 87.75%, indicating that MFCC features effectively capture acoustic characteristics in female voice signals. The confusion matrix analysis reveals that categories with distinct acoustic patterns, such as surprise and calm, achieve higher classification performance, whereas overlapping categories, such as happy and disgust, lead to increased misclassification. These findings demonstrate that KNN can serve as a reliable baseline method for acoustic pattern classification. However, further improvements can be achieved through enhanced feature representation and more advanced classification models.
Sosialisasi Aplikasi Digital Haji Pintar - Satu Haji dan Kawal Haji untuk Meningkatkan Pemahaman Jamaah KBIHU Ahmad Dahlan Pringsewu Aris Rakhmadi; Susilo Hartono; Muchlas; Anton Yudhana
Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Transformasi Digital dalam Pelayanan Publik dan Keagamaan
Publisher : IndoCompt Publisher

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

Abstract

Sosialisasi aplikasi digital Haji Pintar – Satu Haji dan Kawal Haji dilaksanakan sebagai bentuk pengabdian kepada masyarakat dalam mendukung digitalisasi pembinaan ibadah haji. Kegiatan ini menyasar 46 jamaah KBIHU Ahmad Dahlan Pringsewu dengan pendekatan berbasis video tutorial, distribusi materi digital, dan pendampingan daring. Hasil survei menunjukkan bahwa 97,8% jamaah memiliki kemampuan dasar dalam penggunaan smartphone, dan 73,9% belum pernah berhaji. Video tutorial disebarluaskan melalui platform WhatsApp bimbingan haji dan umrah, dan YouTube. Evaluasi menunjukkan bahwa lebih dari 80% responden merasa aplikasi membantu meningkatkan pemahaman terhadap tata cara ibadah. Fitur video manasik dan simulasi ritual menjadi yang paling sering diakses. Sosialisasi digital terbukti efektif menjangkau jamaah secara fleksibel dan partisipatif, serta berkontribusi dalam memperluas literasi digital keagamaan. Kegiatan ini memberikan model implementasi bimbingan haji berbasis teknologi yang dapat direplikasi di wilayah lain.
Speech Emotion Recognition in Male Speech Using 58-Dimensional MFCC Features and Random Forest Classification Aris Rakhmadi; Dewi Soyusiawaty; Irma Yuliana; Dimara Kusuma Hakim
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 2 No. 1 (2026)
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Speech emotion recognition (SER) has developed into a significant research topic in affective computing and human–computer interaction because emotional cues embedded in speech signals can enhance communication between humans and intelligent systems. However, accurately identifying emotional states from speech remains challenging due to dissimilarities in acoustic patterns, speaker features, and recording situations. This study investigates the effectiveness of Mel-Frequency Cepstral Coefficient (MFCC) acoustic features for emotion recognition in male speech using a Random Forest classification model. The dataset used in this research consists of 35,910 male speech samples, each represented by a 58-dimensional MFCC feature vector extracted from emotional speech recordings. The speech samples are categorized into eight emotional classes: angry, fear, calm, disgust, neutral, happy, sad, and surprise. To develop and evaluate the model’s performance, the MFCC data were divided into 80% for training and 20% for testing. The Random Forest model was trained to learn emotional patterns embedded in MFCC features. The experimental findings reveal that the proposed approach achieved an overall classification accuracy of 84.33% with a macro-average F1-score of 0.856, indicating relatively stable performance across multiple emotional categories. Feature importance analysis further reveals that lower-order MFCC coefficients play a dominant role in emotion classification. These findings demonstrate that MFCC features combined with Random Forest classification provide an effective baseline approach for SER and offer valuable insights for future research involving more advanced machine learning models.
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