Abstract:Signal interference or noise is one of the main problems in data transmission that can reduce information quality in both analog and digital systems. This study aims to visually analyze the effects of noise using audio software.…
oftware. The method used is simulation-based, where a pure signal is used as an initial reference before being subjected to various levels of interference. The analysis results show that in analog signals, noise causes permanent waveform distortion that is difficult to recover. In contrast, digital signals tend to maintain data integrity as long as the interference does not exceed a certain threshold. These differences in signal characteristics can be visually observed through waveform displays in the software. The results indicate that digital systems have advantages in maintaining signal quality in noisy environments and have the potential to be used as educational media for basic telecommunication and signal processing studies.
Abstract:Stock prices represent the market’s consensus regarding the fair value of a business entity, formed through a rational assessment of both financial and non-financial information. Within the frameworks of signaling theory…
ry and market efficiency, financial ratios serve as fundamental indicators reflecting a company's ability to generate profit, manage assets, and maintain short-term liquidity stability. When the market faces systemic disruptions, such as the COVID-19 pandemic, and transitions toward post-pandemic normalization, investor sensitivity to internal indicators tends to increase due to heightened external uncertainty. Consequently, a deep understanding of the internal determinants of stock prices becomes increasingly critical for data-driven investment decision-making. This study aims to empirically examine the effect of the Current Ratio (CR), Return on Assets (ROA), and Total Asset Turnover (TATO) on stock prices, both partially and simultaneously, in companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2024 period. A quantitative approach was employed, using a descriptive-verificative design and secondary data drawn from audited financial statements and annual closing stock prices. The sample consisted of 91 companies selected through purposive sampling, and the data were analyzed using multiple linear regression with SPSS version 27. The analysis results indicate that all three independent variables have a positive and significant impact on stock prices, both individually and collectively. This study contributes to the capital market literature by highlighting the relevance of financial ratios in explaining stock price fluctuations in the post-pandemic period, a topic that remains underexplored in the context of developing countries.
Abstract:Abstract: The existence of the Covid-19 pandemic makes the learning process in early childhood ineffective, including in the delivery of national insight material. The use of online platforms apparently cannot be done in…
n the learning process in Purwantoro District, Wonogiri Regency because many parents do not understand about the operation of online learning, parents who work full time, and geographical conditions that do not support it so that signaling is difficult. This community service activity is carried out in collaboration by the University of Muhammadiyah Ponorogo and the Institute of Kebangsaanic Studies Muhammadiyah Pacitan in collaboration with HIMPAUD, Purwantoro District, Wonogiri Regency. This activity aims to assist teachers in increasing students' understanding of national insight through the insertion method in learning materials. Activities are carried out online with the implementation stages being pre-activity, activity implementation, activity evaluation, and follow-up activities. From the results that have been carried out, it can be concluded that 94% of participants have understood the use of the insertion method in the implementation of learning so that students can understand the national insight in every material presented by the teacher
Keywords: insertion; PAUD; national insights
Abstrak: Adanya pandemi Covid-19 menjadikan proses pembelajaran pada anak usia dini tidak efektif, termasuk dalam penyampaian materi wawasan kebangsaan. Penggunaan platform online ternyata tidak bisa dilakukan pada proses pembelajaran di kecamatan Purwantoro kabupaten Wonogiri karena banyak orang tua yang belum paham tentang pengoperasionalan pembelajaran online, orang tua yang bekerja secara fulltime, serta kondisi geografis yang tidak mendukung sehingga sulitnya sinyal. Kegiatan pengabdian kepada masyarakat ini dilaksanakan secara kolaborasi oleh Universitas Muhammadiyah Ponorogo dan Institut Kebangsaan Studies Muhammadiyah Pacitan bekerjasama dengan HIMPAUD kecamatan Purwantoro kabupaten Wonogiri. Kegiatan ini bertujuan untuk membantu guru dalam meningkatkan pemahaman siswa tentang wawasan kebangsaan melalui metode insersi dalam materi pembelajaran. Kegiatan dilaksanakan melalui dalam jaringan (online) dengan tahap pelaksanaan adalah pra kegiatan, pelaksanaan kegiatan, evaluasi kegiatan, dan tindak lanjut kegiatan. Dari hasil yang telah dilaksanakan diperoleh hasil bahwa 94% peserta telah paham tentang penggunaan metode insersi dalam pelaksanaan pembelajaran sehingga siswa dapat memahami tentang wawasan kebangsaan dalam setiap materi yang disampaikan oleh guru.
Kata kunci: insersi; PAUD; wawasan kebangsaan
Abstract:Abstract: Anomalous sound detection is essential for industrial predictive maintenance, as machine failures often originate from subtle acoustic changes during operation. However, high background noise and limitations of…
conventional Convolutional Neural Networks (CNN) reduce detection reliability. This study proposes a 1D-CNN-based anomaly detection framework with multi-view feature fusion and temporal segmentation to enhance detection performance. The approach combines MFCC, Log-Mel Spectrogram, and Chroma STFT features, while temporal segmentation divides audio signals into 5-second segments to better capture transient anomalies. Experiments on the MIMII dataset under varying Signal-to-Noise Ratio (SNR) conditions show that MFCC and Log-Mel fusion achieves the best performance, with 97.90% accuracy and ROC-AUC of 0.9789. The model maintains accuracy above 90% at −6 dB, demonstrating strong robustness in noisy industrial environments.
Keywords: industrial anomaly detection; 1D-CNN; multi-view feature fusion; temporal segmentation; MIMII dataset.
Abstrak: Deteksi anomali suara merupakan komponen penting dalam sistem pemeliharaan prediktif industri, karena kegagalan mesin sering diawali oleh perubahan akustik yang bersifat halus selama proses operasi. Namun, tingkat kebisingan yang tinggi serta keterbatasan arsitektur Convolutional Neural Network (CNN) konvensional dapat menurunkan keandalan deteksi. Penelitian ini bertujuan mengusulkan kerangka deteksi anomali berbasis 1D-CNN yang mengintegrasikan strategi fusi fitur multi-view dan segmentasi temporal untuk meningkatkan kinerja deteksi. Pendekatan yang digunakan menggabungkan fitur MFCC, Log-Mel Spectrogram dan Chroma STFT, sementara teknik temporal splitting membagi sinyal audio menjadi segmen berdurasi 5 detik untuk menangkap anomali yang bersifat sementara. Eksperimen menggunakan dataset MIMII pada berbagai kondisi Signal-to-Noise Ratio (SNR) menunjukkan bahwa kombinasi MFCC dan Log-Mel Spectrogram menghasilkan kinerja terbaik dengan akurasi 97,90% dan ROC-AUC sebesar 0,9789. Model juga mempertahankan akurasi di atas 90% pada kondisi kebisingan ekstrem (−6 dB) yang menunjukkan ketahanan yang baik dalam lingkungan industri yang bising.
Kata kunci: deteksi anomali industri; 1D-CNN; fusi fitur multi-view; segmentasi temporal; dataset MIMII
Abstract:Abstract: One of the main challenges in digital image processing is limited resolution, which makes it difficult to preserve visual details when images are enlarged. Conventional methods such as Bilinear Interpolation are…
e commonly used for image upscaling; however, these approaches often produce blurred images, lose fine textures, and fail to reconstruct complex visual structures. This study aims to enhance digital image resolution by employing a deep learni based approach using a Low-Light Convolutional Neural Network (LLCNN) built upon a Deep Neural Network (DNN) architecture. The dataset used in this study is the DIV2K dataset, which consists of 1,000 high-resolution images. These images were downsampled using scaling factors of ×2, ×3, and ×4 to generate paired Low Resolution–High Resolution (LR–HR) data for training and evaluation. The proposed LLCNN is designed to extract important features such as edges, textures, and local patterns through multiple convolutional layers, followed by non-linear mapping to reconstruct high-resolution images more accurately. Quantitative performance evaluation was conducted using the Peak Signal-to-Noise Ratio (PSNR) and the Structural Similarity Index (SSIM). Model performance was evaluated quantitatively using the Peak Signal-to-Noise Ratio (PSNR) metric. Experimental results showed that the proposed method improved image quality compared to the bilinear method. These results indicate that the deep learning based approach effectively improves image sharpness and structural fidelity, thereby demonstrating its potential for digital image resolution enhancement.
Keywords: deep neural network; image resolution; low-light convolutional neural network; machine learning
Abstrak: Permasalahan utama dalam pengolahan citra digital adalah keterbatasan resolusi yang menyebabkan detail visual sulit dipertahankan ketika citra diperbesar. Metode konvensional seperti Bilinear Interpolation masih banyak digunakan, namun sering menghasilkan citra buram, kehilangan tekstur halus, serta tidak mampu merekonstruksi struktur visual yang kompleks. Penelitian ini bertujuan untuk meningkatkan kualitas resolusi citra digital dengan memanfaatkan pendekatan deep learning berbasis Low-Light Convolutional Neural Network (LLCNN) yang dibangun di atas arsitektur Deep Neural Network (DNN). Data yang digunakan dalam penelitian ini berasal dari dataset DIV2K, yang terdiri dari 1000 citra beresolusi tinggi. Citra tersebut diturunkan menjadi resolusi rendah menggunakan faktor downsampling ×2, ×3, dan ×4 untuk membentuk pasangan data Low Resolution–High Resolution (LR–HR) sebagai data pelatihan dan pengujian. LLCNN dirancang untuk mengekstraksi fitur-fitur penting seperti tepi, tekstur, dan pola lokal melalui beberapa lapisan konvolusi, kemudian melakukan pemetaan non-linear guna merekonstruksi citra resolusi tinggi secara lebih presisi. Evaluasi performa model dilakukan secara kuantitatif menggunakan metrik Peak Signal-to-Noise Ratio (PSNR). Hasil eksperimen menunjukkan bahwa metode yang diusulkan mampu meningkatkan kualitas citra dibandingkan metode bilinear. Hasil ini membuktikan bahwa pendekatan berbasis deep learning efektif dalam meningkatkan ketajaman dan kesesuaian struktur citra digital.
Kata kunci: deep neural network; low-light convolutional neural network; machine learning; resolusi citra
Abstract:Abstract: Abstract: this study evaluates and compares the performance of two edge detection methods Sobel method and Canny method on batik image. Batik images have unique characteristics and complex patterns, making it…
difficult to analyze the edges. This study presents a comparison of the results using sobel and canny edge detection methods on batik kawung images both from peak signal-to-noise reatio and from mean squared error. The results showed that canny edge detection was better than sobel method. This can be seen from the results of PSNR and MSE that is 100%. This analysis is determined by considering factors such as the accuracy of edge detection, sensitivity to noise, and the ability to handle the complexity of batik drawing patterns. The results of this study provide a detailed description of the advantages and disadvantages of each method in the image of batik kawung. The conclusions that can be drawn from this study can provide valuable guidance for choosing the optimal edge detection method in image analysis of batik kawung and others.
Keywords: batik kawung; canny; MSE; PSNR; sobel
Abstrak: Penelitian ini mengevaluasi dan membandingkan kinerja dua metode deteksi tepi metode Sobel dan metode Canny pada citra batik. Gambar batik mempunyai ciri-ciri yang unik dan pola yang kompleks, sehingga menyulitkan analisis tepian. Penelitian ini menyajikan perbandingan hasil menggunakan metode deteksi tepi sobel dan canny pada citra batik kawung baik dari peak signal-to-noise reatio maupun dari mean squared error. Hasil penelitian ini menunjukkan bahwa deteksi tepi canny lebih baik dibandingkan dari metode sobel. Hal ini dapat dilihat dari hasil PSNR dan MSE yang dihasilkan yaitu 100%. Analisis ini ditentukan dengan mempertimbangkan faktor-faktor seperti keakuratan deteksi tepi, kepekaan terhadap noise, dan kemampuan menangani kompleksitas pola gambar batik. Hasil penelitian ini memberikan gambaran secara detail mengenai kelebihan dan kekurangan masing-masing metode pada citra batik kawung. Kesimpulan yang dapat diambil dari penelitian ini dapat memberikan panduan berharga untuk memilih metode deteksi tepi yang optimal dalam analisis citra batik kawung dan yang lainnya.
Kata kunci: batik kawung; canny; MSE; PSNR; sobel
Abstract:Abstract: The mobile application cannot be separated from the presence of the use of notifications. Many types of mobile devices used by users are using the method to make notifications that can be run on all types of devices…
vices that are important to do. This study discusses how to implement the program code for notifications on mobile applications based on hybrid mobile applications and the use of oneSignal as a push notification service. The method used in this research is analysis, code implementation, testing, and evaluation of the results of several implementation methods. The analysis carried out contains an analysis of what methods can be used to make notifications to the mobile application. After getting the method in the analysis phase, the next step is to try various methods of implementing the code and testing the code of the mobile application program using the code-and-fix life cycle method. The test results of each implementation method are then evaluated and the best code implementation method is determined. The final result of this research is recommendations for implementing program code into hybrid mobile applications using the oneSignal service.
Keywords: mobile hybrid; oneSignal; push notification
Abstrak: Aplikasi mobile saat ini tidak bisa lepas dari adanya penggunaan notifikasi. Banyaknya jenis device mobile yang digunakan user, mengakibatkan penggunaan metode untuk membuat notifikasi yang dapat berjalan di semua jenis device penting untuk dilakukan. Penelitian ini membahas tentang bagaimana mengimplementasikan kode program untuk notifikasi pada aplikasi mobile yang berbasis aplikasi mobile hybrid serta penggunaan oneSignal sebagai servis push notification-nya. Metode yang digunakan dalam penelitian yaitu analisis, implementasi kode, testing dan evaluasi perbandingan hasil beberapa metode implementasi. Analisis yang dilakukan meliputi analisis metode apa saja yang dapat digunakan untuk membuat notifikasi ke aplikasi mobile. Setelah mendapatkan perbandingan metode pada tahapan analisis, tahapan selanjutnya yaitu mencoba berbagai metode implementasi kode dan dilakukan testing kode program aplikasi mobile dengan menggunakan metode code-and-fix life cycle. Hasil testing masing-masing metode implementasi kemudian dievaluasi dan ditentukan metode implementasi kode terbaik. Hasil akhir dari penelitian ini adalah rekomendasi implementasi kode program kedalam aplikasi mobile hybrid untuk memunculkan notifikasi pada aplikasi menggunakan servis oneSignal.
Kata kunci: mobile hybrid; notifikasi; oneSignal
Abstract:Penelitian ini bertujuan untuk menganalisis kendala yang dialami mahasiswa dalam menggunakan fitur pembayaran pajak tahunan pada aplikasi SIGNAL di wilayah Rumbai, Kota Pekanbaru. Latar belakang penelitian berangkat dari…
upaya pemerintah dalam mendorong digitalisasi layanan publik, termasuk pembayaran pajak kendaraan bermotor melalui aplikasi SIGNAL. Namun, pada praktiknya masih ditemukan berbagai hambatan yang menyebabkan mahasiswa sebagai pengguna potensial belum memanfaatkan aplikasi ini secara optimal. Metode penelitian yang digunakan adalah metode kualitatif dengan teknik pengumpulan data melalui wawancara dan observasi terhadap mahasiswa pengguna maupun calon pengguna aplikasi SIGNAL. Hasil penelitian menunjukkan bahwa kendala utama meliputi kurangnya pemahaman terkait alur penggunaan aplikasi, kesulitan dalam verifikasi data, kendala teknis seperti error sistem dan lambatnya respons aplikasi, serta minimnya sosialisasi mengenai manfaat dan cara penggunaan fitur pembayaran pajak tahunan. Penelitian ini menyimpulkan bahwa efektivitas penggunaan fitur pembayaran pajak tahunan pada aplikasi SIGNAL sangat dipengaruhi oleh faktor literasi digital, keandalan aplikasi, dan akses informasi. Rekomendasi yang diberikan meliputi peningkatan sosialisasi, penyederhanaan proses verifikasi, serta optimalisasi kinerja aplikasi agar lebih ramah bagi pengguna, khususnya kalangan mahasiswa.
Abstract:This study aims to determine the practice and application of sharia business ethics in forex trading of JR Volatility 75 Index companies in the forex market and the dissemination of the results of the analysis and transactions…
ctions to registered members. This research is qualitative research with the research object of corporate signal provider Volatility 75 Index JR. Data collection methods used are observation, in-depth interviews, and documentation. The results of the study show that JR's Volatility 75 Index has implemented sharia business ethics in its service business so as to make it feel safe and comfortable when using the forex market analysis services from the company.
Abstract:This study investigates the rhetorical and discourse functions of repetition in the English translation of Surah Al-Mursalat by M.A.S. Abdel Haleem, focusing on the refrain “Woe on that Day to those who denied the truth.”…
h.” Using a qualitative descriptive method grounded in stylistics and discourse analysis, the study explores how this fixed phrase, repeated ten times across the chapter, operates at multiple linguistic levels. The analysis reveals that the refrain serves three interrelated functions: stylistically, it foregrounds divine warning and creates rhythmic cohesion; structurally, it segments the surah into thematic units and signals discourse boundaries; rhetorically, it intensifies condemnation and engages the reader emotionally through cumulative repetition. Abdel Haleem’s consistent rendering of the refrain retains these functions effectively, unlike other translations that introduce lexical variation. The findings demonstrate that repetition in Qur’anic translation is not merely ornamental but performs essential linguistic and communicative roles. This study contributes to Qur’anic stylistics, translation studies, and discourse analysis by showing that sacred texts, when translated with rhetorical sensitivity, can preserve the stylistic integrity of the original.