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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 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 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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Integrasi Metode Farnsworth-Munsell pada Aplikasi Web untuk Identifikasi Gangguan Penglihatan Warna Muhammad Abdurrahman Hasan; Aris Rakhmadi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 4 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i4.9725

Abstract

Gangguan penglihatan warna sering kali tidak disadari sehingga dapat menghambat aktivitas pendidikan maupun pekerjaan. Penelitian ini bertujuan mengembangkan aplikasi web sebagai instrumen skrining mandiri melalui integrasi metode Farnsworth-Munsell. Sistem dibangun menggunakan framework Laravel dengan pola arsitektur Model-View-Controller (MVC) dan model pengembangan Waterfall. Kontribusi utama penelitian ini adalah digitalisasi prosedur tes fisik ke dalam antarmuka web yang mampu melakukan kalkulasi Total Error Score (TES) secara otomatis dan sistematis berdasarkan posisi koordinat warna yang dimasukan pengguna. Evaluasi fungsional menggunakan metode Black Box menunjukkan bahwa seluruh fitur integrasi metode dan pemrosesan skor berjalan valid. Pengujian aspek kegunaan melalui instrumen System Usability Scale (SUS) menghasilkan skor rata-rata 72,50, yang menempatkan sistem pada kategori Good (Layak). Hasil penelitian menyimpulkan bahwa aplikasi ini efektif berfungsi sebagai alat pemindaian awal yang aksesibel bagi masyarakat umum tanpa memerlukan instalasi perangkat lunak tambahan, sekaligus menyediakan standarisasi perhitungan skor tes buta warna secara digital. Aplikasi ini dirancang sebagai sarana skrining awal secara mandiri dan tidak dimaksudkan untuk menggantikan hasil diagnosis medis profesional dari dokter spesialis mata.
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 (In Progres)
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.
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 Dimara Kusuma Hakim 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 Irma Yuliana Joko Handoyo Khoirunnisa, Siska Lukito Edi Nugroho Mega Fatimah Rosana Muchlas Muchlas Muchlas Muhammad Muhammad Abdurrahman Hasan 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