The increasing number of traffic accidents caused by motorcyclists not wearing helmets has led to an increase in the number of studies related to road safety surveillance. The research system used is an automatic system to detect whether the motorcyclist is wearing a helmet or not. Many studies use image processing systems, deep learning and computer vision. In this research, Cascade Classifier and Adaptive Boosting have been implemented for the process of identifying motorcycle riders with helmets and without helmets. The number of datasets used is 500 datasets with labels on the image of the driver with a helmet and the image of the driver without a helmet. Based on the test results, an accuracy of 90% has been obtained

Indonesia is a country that is rich in cultural diversity. An example of one such variety is the Javanese language. The letters that are usually used in Javanese are non-Latin letters or are usually known as Javanese script. However, along with advances in technology, the Javanese language is increasingly being forgotten. In the past, the Javanese script was used as a subject in schools, aiming for Indonesian students to continue to gain knowledge about the Javanese script. The initial step in the introduction of the Javanese script starts with the preprocessing process by changing the image of the Javanese script from the RGB image to a grayscale image which is then performed feature extraction, where the feature extraction used in this script recognition is texture extraction with the Local Binary Pattern (LBP) algorithm. The results of this processing are obtained information that can be used as a parameter in the Multi Support Vector Machine (SVM) classification to predict Javanese script images. In this study using the LBP method with the Multi SVM Algorithm as a classification algorithm produces a high accuracy of 90% in the recognition of Javanese script, better than using only Multi SVM with an accuracy of 80%.

Recommendation systems provide ways of directing users to items that may be relevant to them by guiding them to relevant items that will be suitable to the users according to their profiles. Collaborative filtering is one of the most successful and mature techniques of recommender system because of its domain independent ability. Bayesian Personalized Ranking Smart Linear Model (BPRSLIM) is model-based collaborative filtering (CF) recommendation algorithm that usually reconstructs a scanty user-item matrix directly; also, using only user-rating matrix usually prevents the algorithm from accessing relevant information that could enhance its recommendation accuracy. Therefore, this work reconstructs BPRSLIM user-item rating matrix via item feature information in order to improve its performance accuracy. Comprehensive experiments were carried out on a real-world dataset using different evaluation metrics.  The performance of the model showed significant improvement in recommendation accuracy when compared with other top-N collaborative filtering-based recommendation algorithms, especially in precision and nDCG with 30.6% and 22.1% respectively.

This study focus on identifying medical images by proposing the Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) transformation watermarking technique and prove an increase the quality of watermarked images is good in terms of imperceptibility. Due to reduce the need for data memory compression is applied to the host image, where the compression technique chosen is lossless so that the compressed host image experiences a decrease in file size while maintaining data integrity, to maintain image degradation perceptions and diagnostic quality standards during the watermarking process. Here, we use DWT-DCT-SVD and Run Length Encoding (RLE). A good Peak Signal to Noise Ratio (PSNR) more than 30 dB using over than 200 compression size. The extracted watermark image is quite good with a fairly high PSNR value. The highest compression result size is in 32.2511.

This research is motivated by the process of making raw material inventory stocks that still use paper and have not been connected to the database. The problems that arise in the company are regarding the stock of goods, the process of reporting incoming and outgoing goods is still by handwriting which results in calculation errors and differences between physical data and record data. The design of this raw material information system uses the Visual Basic.Net programming language and SQL Server as a database. The system development model used is the waterfall model, analysis and design using diagrams contained in UML. While data collection techniques use research methods by means of observation, interviews, and literature studies. The purpose of this research is to design a raw material inventory information system that can support all incoming and outgoing inventory activities in the company. The result of this research is a desktop-based inventory system application that can assist in processing inventory data and reporting data.

Rivest Cipher 4 (RC4) has the main factors that make this algorithm widely used, namely its speed and simplicity, so it is known to be easy for efficient implementation. The nature of the key in the RC4 algorithm is symmetrical and performs a plain per digit or byte per byte encryption process with binary operations (usually XOR) with a semirandom number. To improve the visual image after the encryption process, in this article we use the Least Significant Bit (LSB). In this study, the quality of the stego image and the original image has been calculated using MSE, PSNR and Entropy. Experiments were carried out by images with a size of 128x128 pixels to 2048x2048 pixels. Experiments using imperceptibility prove that the stego image quality is very good. This is evidenced by the image quality which has an average PSNR value above 53 dB, while the lowest PSNR value is 48 dB with a minimum dimension of 128x128 pixels.

One of the recognized stages in addressing population growth is the Family Planning Program. In essence, the results of the Family Planning Program are beneficial for the growth and development of Indonesian society. Community participation is very influential in the family planning program, especially in improving the quality of life of the community at the village level or equivalent to the family planning program and other development programs that have been adjusted by each region. The evaluation of the family planning program in Kampung Bulang sub-district aims to obtain comprehensive information on the implementation and implementation of family planning programs in increasing family resilience and welfare. In this study, researchers used descriptive research using a qualitative approach, with primary and secondary data sources. This study uses the Program Evaluation Theory according to Wirawan, where in this theory there are five indicators consisting of (1) Input Evaluation, which aims to assess the adequacy of the Quantity and Quality of the Family Planning Program. (2) Process Evaluation, which aims to see or monitor how far the activities have been carried out. (3) Output Evaluation, which aims to see whether the Family Planning Program is running well or vice versa. (4) Outcome Evaluation which aims to see the results of whether the community understands the importance of the Family Planning Program. (5) Impact Evaluation, which aims to assess changes that occur in society. The conclusion of the program researchers is that it is running well, but it must continue to raise public awareness for the family planning program. The government also needs to reaffirm family planning not only in certain circumstances but for national needs.

This research aims to investigate ethical business practices in sustainable digital marketing among Micro, Small, and Medium Enterprises (MSMEs). The research model adopts a qualitative approach to delve into the intricacies of ethical decision-making processes within digital marketing strategies. Sampling techniques involve purposive sampling to select MSMEs known for their sustainable practices. Data analysis employs thematic analysis, allowing for the identification of patterns and themes related to ethical considerations in digital marketing. Preliminary findings indicate a growing consciousness among MSMEs towards adopting ethical principles in their digital marketing endeavors, contributing to the sustainability of their businesses while fostering consumer trust and loyalty. This study sheds light on the importance of ethical conduct in digital marketing for the long-term viability of MSMEs in the contemporary business landscape.

This study examines the influence of female directors on agency costs, which is an important issue in corporate governance. And Management Discussion and Analysis as moderator. Female directors on agency costs. Using a sample of manufacturing companies registered in Indonesia in 2019-2021. In this study, it was measured using regression. Our findings provide evidence that the appointment of female directors can improve corporate governance, but does not affect or reduce agency costs. Meanwhile, the Management Discussion and Analysis variable is not able to moderate or strengthen the influence of the female director variable on agency costs, so that in further research we can add other variables related to corporate governance.
 
 

This study aims to determine the effect of Service Quality and Product Quality on Customer Satisfaction in the Sappo Drinks Business, Branch 5, Sengkang City. This study used 310 respondents from Puangrimaggalatung university students. The instrument used in this research is a questionnaire. Hypothesis testing was carried out using multiple linear regression analysis with the help of SPSS 26. The results of this study explain that there is a simultaneous effect of Service Quality and Product Quality on Customer Satisfaction in the Sappo Beverage Business Branch 5 Sengkang City.