Pelita Teknologi

Analisis Perubahan Perilaku Konsumen dalam Konteks Bisnis Elektronik Pasca-Pandemi COVID-19: Implikasi dan Strategi Pengembangan Bisnis

2024-05-11T11:33:53+00:00

The COVID-19 pandemic has changed the global business environment significantly, especially in the electronics and e-commerce industries. In this context, consumer behavior has changed dramatically, with a significant increase in online purchases and a preference for brands that offer exceptional digital experiences. The impact of these changes is significant for e-commerce companies, which must adapt their strategies to remain relevant and competitive in an increasingly digital and online marketplace. This analysis focuses on factors that influence changes in consumer behavior, including: Changing purchasing preferences, improving online security and privacy, and seeking better digital experiences. In addition, we discuss business development strategies that can help companies face challenges, such as increasing investment in technology infrastructure, developing marketing strategies that focus on customer experience, and improving data security and privacy. By understanding the dynamics of changing consumer behavior post-pandemic, the business world can take the right steps to position themselves effectively in this growing market and strengthen their competitiveness in the digital business era.

Strategi Komunikasi Penyiar Radio Magelang FM pada Program Siaran “Mbangun Magelang” untuk Menarik Minat Pendengar

2024-01-14T05:44:26+00:00

Being in the midst of the digital era, LPPL Radio Magelang FM, which stands under the Magelang City Communication, Informatics and Statistics Service, as a mass media has certain strategies that its broadcasters use in order to maintain its existence and attract the interest of listeners through broadcast programs so that they can continues to develop in providing up-to- date information and providing cooperation with the community. Researchers used descriptive qualitative research methods through interviews, documentation and observation approaches. From the results of the research that has been carried out, the researcher can conclude that the communication strategies used by Radio Magelang FM broadcasters in attracting listeners' interest through the “Mbangun Magelang” broadcast program are strategies for determining messages, strategies for achieving effects and communication styles used in packaging broadcast programs to make them attractive to listeners.

Prediksi Diabetes Menggunakan Algoritma Naive Bayes Menggunakan Rapidminer

2024-05-16T01:54:00+00:00

Diabetes, the fastest-growing life-threatening disease, presents significant global health challenges, with 3.8 million annual deaths and affecting 422 million individuals worldwide. This study employs RapidMiner, a popular data mining tool, to analyze a public diabetes dataset. Addressing common dataset challenges such as extraneous features, efficient feature selection, and algorithm implementation, the research introduces a novel approach utilizing the Naive Bayes algorithm. Despite inherent complexities, the Naive Bayes model achieves a commendable accuracy rate of 75.51%, showcasing its applicability in diabetic data analysis within the RapidMiner environment. This research sheds light on the potential of integrating RapidMiner and data mining techniques to advance our understanding and management of diabetes-related data, thereby contributing to improved healthcare outcomes and patient well-being.

Literatur Review : Analisis Pemanfaatan Sistem Informasi Mobile Terhadap Kualitas Pelayanan Kesehatan

2024-01-14T16:48:18+00:00

The development of mobile technology has changed the healthcare landscape, providing new opportunities to improve service quality. This article aims to analyze the use of mobile applications on healthcare quality. Through System Literature Review (SLR) research, we investigate the extent to which the use of mobile applications by patients, medical personnel, and healthcare providers can improve efficiency, accessibility, and customer satisfaction. This study identifies factors that influence the use of mobile apps in the healthcare environment and analyzes their impact on the interaction between patients and providers. The results show that the utilization of mobile apps significantly contributes to the improvement of service quality, by reducing waiting time, improving communication, and providing better access to health information.

Implementasi Algoritma Naïve Bayes dan Algoritma C4.5 Untuk Melakukan Analisis Sentimen terhadap Ulasan Komentar Pengguna TikTok di Google Play Store

2023-07-09T15:20:12+00:00

TikTok is a popular application among young people. TikTok was an application initially launched in China before landing in Indonesia at the end of 2017. Unfortunately, the popularity of TikTok stems from personal lack of self-image, for example wearing sexy clothes, dancing in erotic and inappropriate moves. This is based on many positive and negative comments from TikTok users. So we need a way to automatically classify reviews through sentiment analysis. The purpose of this study is to classify TikTok user comments on Google Play Store using Naive Bayes and C4.5 algorithms. This study used 1330 data, of which 602 data were negative and 728 data were positive. The results show that the Naive Bayes algorithm produces accuracy values of 79.00%, 79.00% precision, 78.00% recall, and 78.00% F1 score. The C4.5 algorithm produces 68.00% accuracy, 68.00% precision, 68.00% recall, and 68.00% F1 score. We can conclude that the Naive Bayes algorithm is the best algorithm compared to the C4.5 algorithm. The Naive Bayes algorithm achieves an accuracy value of 79.00%.

Penerapan Algoritma AES (Advanced Encryption Standard) Untuk Meningkatkan Keamanan Data Pribadi

2023-07-02T18:31:59+00:00

Data security is one of the most crucial aspects in today's digital era. When it comes to storing and transmitting personal data, it is highly sensitive, and proper protection is necessary to prevent unauthorized access and potential misuse of information. One effective method to ensure data confidentiality is through the use of strong encryption algorithms, and one internationally recognized encryption algorithm is the Advanced Encryption Standard (AES). The aim of this research is to implement the AES algorithm to enhance the security of personal data. This study will examine and analyze the implementation of AES in an application involving the transmission and storage of personal data. Furthermore, it will involve testing and evaluating the security of the applied AES algorithm. The research methodology employed in this study is research and development.