Claim Missing Document
Check
Articles

Found 3 Documents
Search

Analisis Faktor-Faktor Yang Mempengaruhi Konsumen Dalam Keputusan Pembelian Vocher Paket Data Internet Rt/Rw Net Rancapaku Sidiq, Ahmad Zamakhsyari; Haerumansyah
Cipasung Techno Pesantren: Jurnal Ilmiah Vol 18 No 1 (2024): Cipasung Techno Pesantren: Scientific Journal
Publisher : LPPM Sekolah Tinggi Teknologi Cipasung

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

Abstract

RT/RW Net Desa Rancapaku is a company engaged in internet services. This research aims to determine the factors that influence consumers towards purchasing RT/RW Net Rancapaku internet data voucher. This research is in accordance with the proposed hypothesis, namely that there is a significant and positive relationship between the price of internet data package cards and product quality and the influence of purchasing decisions. The method used in this research uses linear regression analysis. The results of this research show the result Then the product quality is 0.001 < 0.01 and the calculated t value is 3.817 > from t table 2.000, so it can be concluded that H2 is accepted and the constant is 15.183, meaning that the consistent value of the participation variable is 15.183. The internet data package regression coefficient (X1) is 0.535 and quality 0.470 (X2) states that for every 1% increase in the value of X1 and X2, the participation value increases by 0.535 for X1 and X2 0.470. The regression coefficient is positive, so it can be said that the price of internet data packages and product quality have a positive influence on purchasing decisions for internet data vouchers.
Development Of A CNN Model For Recognizing The Indonesian Sign Language (BISINDO) Alphabet Nuriah, Sinta Siti; Sidiq, Ahmad Zamakhsyari; Akbar, Zulkaida
Media Jurnal Informatika Vol 17, No 2 (2025): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i2.5936

Abstract

Deaf people in Indonesia face communication barriers due to the limited understanding of Indonesian Sign Language (BISINDO) among the general public. This results in limited social interaction between deaf people and their surroundings. This study aims to develop a Deep Learning and Computer Vision-based BISINDO alphabet translator model using the Convolutional Neural Network (CNN) method, addressing the limited availability of publicly documented BISINDO datasets for alphabet recognition . The method used involves training the model with a dataset of 3,120 BISINDO alphabet images, covering the letters A to Z. The dataset was divided into 80% for training and 20% for testing. The training process included model architecture design, parameter tuning, selection of the best model based on accuracy, and performance evaluation. The evaluation results showed that the developed CNN model achieved an accuracy of 99.84% in classifying BISINDO letters; however, challenges remain in generalizing the model to variations in lighting, hand orientation, and user differences. Nevertheless, the high accuracy achieved indicates the model’s potential to support effective BISINDO translation and improve communication accessibility. This research also opens up opportunities for further development towards comprehensive translation of gestures or sentences in BISINDO.
DESIGN AND PERFORMANCE ANALYSIS OF HORIZONTAL AXIS WIND TURBINE TAPERLESS NACA 6510 USING QBLADE SOFTWARE Dwiyani, Fanisya; Sidiq, Ahmad Zamakhsyari; Said, Ahmad
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 10 No. 2 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Abstract

The crisis of non-renewable energy resources has pushed the global community to overcome the dominance of fossil fuel power plants. The utilization of new renewable energy sources is a solution because it is considered to have energy sources that will continue to be renewed, including wind energy. Since ancient times, wind energy can be harvested and converted into electrical energy using wind turbines. This research was conducted to analyze the feasibility of the design performance of the horizontal axis wind turbine blade NACA airfoil 6510. The feasibility analysis of the performance can be known from the simulation results by referring to the resulting efficiency value. The analysis was carried out by studying literature to determine the characteristics of the NACA airfoil 6510 and performance simulation using Qblade software. The design is carried out using data on the average maximum wind speed in Indonesia of 12 m/s. Therefore, the results of the feasibility of wind turbine blade design performance with NACA airfoil 6510 have an efficiency of 44%.