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Sosialisasi Budaya Kesenian Calung Salakadomas di Dusun Kelewih Desa Saguling Kecamatan Baregbeg Kabupaten Ciamis Octavia, Angelica Nenaputri; Putri, Fahira Anindya; Ramdani, Gilang; Robi, Robi; Setiadi, Budi
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 4 No. 5 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v4i5.4297

Abstract

This research is behind the background of the influence of foreign cultural transformation which is today a real threat to traditional culture. This can lead to the weakening of the values of traditional cultural art and have a major impact on the survival of traditional art in society, one of which is the anti-traditional art. Calung is a traditional musical instrument commonly played in popular performances in society, but the popularity of Calung is now declining due to the influence of foreign cultural transformation. This is supported by public surveys that show that foreign musical instruments are more popular and popular with the general public than traditional music instruments. This research aims to introduce and expand public understanding of the traditional cultural wealth of one of the Traditional Art of Calung that exists in the village of Saguling Prefecture Baregbeg district of Ciamis. The method used is qualitative descriptive method with the type of case study. This investigation was carried out against the figures of the academic anti-artists. The data collection techniques used are observations, interviews and documentation. The results of this study show that there are still societies that maintain the traditional anti-art in the midst of evolving times that are constantly changing. 
A Hybrid Neural Network and Sugeno-Type Fuzzy Approach for Object Classification to Assist Navigation of Visually Impaired Individuals Using Ultrasonic Sensor Arrays Solihin, Ridwan; Hasanah, Rahmawati; Setiadi, Budi; Supriyadi, Tata; Sudrajat, Sudrajat; Tri Hartono, R Wahyu
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.416

Abstract

This study proposes a hybrid neural network that integrates a multilayer perceptron (MLP) with optimised Sugeno-type fuzzy reasoning for object classification. The system employs a vertically mounted array of ultrasonic sensors arranged 10 cm apart at heights ranging from 80 cm to 180 cm. Each sensor measures the distance of passing objects, producing eleven readings that capture vertical distance patterns. These readings are processed by an MLP with a single hidden layer of 22 neurones to identify characteristic spatial signatures. A refined similarity-based classification is then performed using an optimised Sugeno-type fuzzy inference system configured with five linguistic variables: Very Low (VL), Low (L), Medium (M), High (H), and Very High (VH). Training and testing were conducted using datasets collected at SLBN-A Citeureup, Cimahi, comprising two object categories: human (visually impaired individuals) and nonhuman (inanimate objects). The model was trained for 100 epochs with a learning rate of 0.001. Experimental results show accuracy exceeding 90%, with the hybrid model outperforming the conventional MLP by 1.83%. This improvement reduces false positives and prevents erroneous obstacle warnings. The integration of fuzzy reasoning also enhances the system's robustness to uncertainty and stabilises decision-making when class boundaries overlap.