3121 research outputs found
Sort by
The Relationship between Social Media Marketing Dimensions on Instagram and Increasing Patient Interest in Choosing a Hospital at Husada Hospital in 2025
No full textIn the increasingly digital era, the use of social media has become an important strategy in hospital marketing communications. Instagram, as a popular platform, is used by various hospitals to build a presence online and reach a wider audience. This study examines the influence of social media marketing dimensions through Instagram on patient decisions in choosing Husada Hospital as a healthcare provider, especially amidst the dynamics of post-pandemic visits and the digital transformation of hospital services. The purpose of this study was to determine the relationship between social media marketing dimensions on Instagram and patient decisions in choosing a hospital. This study used a quantitative approach with a cross-sectional study design involving 67 respondents. Data analysis was conducted univariately and used the Spearman test to examine the correlation between variables. The results showed a significant relationship between social media marketing dimensions and patient decisions. Husada Hospital has been actively using Instagram since 2018. Based on data, the number of followers in January-February reached 8,069 followers. And in March, followers increased to 8,161 followers. The social media marketing dimensions that most influence purchasing decisions are collaboration (r = 0.694), connection (r = 0.654), communication (r = 0.575), and context (r = 0.536). The most influential social media marketing dimension is collaboration. Active collaboration between Husada Hospital and influencers or medical personnel through Instagram has been proven to strengthen the hospital's image and encourage patient decisions. Therefore, it is recommended that Husada Hospital can further introduce and develop its official Instagram account @rs_husada strategically, through collaborative, educational, and interactive content to increase patient engagement and expand the hospital's digital marketing reach
RANCANG BANGUN WEBSITE PENGELOLAAN BUKU DIGITAL BERBASIS NATURAL LANGUAGE PROCESSING (NLP)
No full textA digital book management system has become a crucial solution in the digital era, helping users efficiently organize and search their book collections. In the context of information technology advancements, the demand for an integrated platform that can store book data and provide easy access through metadata-based search features is increasing. However, the main challenge lies in the absence of a system that supports automatic information extraction from digital book files and searches based on criteria such as title, language, or topic. To address this issue, this study employs the Research and Development (R&D) method to design the system, a literature review to analyze NLP technology, and observations to understand user needs. The research results in an application built with PHP, MySQL, and Python (NLP), featuring file uploads, automatic metadata extraction, search based on specific criteria, and user profile management. The study concludes that the developed system provides a practical and efficient solution for digital book management, with a modular design that supports scalability and further development
RANCANG BANGUN SISTEM PENGINGAT TUGAS KULIAH BERBASIS WEB UNTUK MENINGKATKAN MANAJEMEN WAKTU MAHASISWA
No full textStudents frequently encounter challenges in managing academic schedules and completing assignments on time due to the demanding nature of coursework and involvement in non-academic activities. Poor time management can adversely affect students' academic performance. Consequently, this study aims to design and develop a web-based academic task reminder system to assist students in managing schedules more effectively. The application is developed using HTML, CSS, and JavaScript, with data storage based on local storage, enabling users to access and store assignment information without requiring a server connection. The development methodology employed in this research follows the Software Development Life Cycle (SDLC) Waterfall model, which encompasses the stages of requirements analysis, system design, implementation, testing, and maintenance. Black Box testing was conducted to verify that all features—including task addition, deletion, sorting by deadline or alphabetically, and data storage—function as intended. Test results demonstrate that the system enhances task management efficiency and helps students organize schedules in a more structured manner. Furthermore, the system allows students to conveniently access task lists anytime and anywhere, eliminating the risk of data loss upon page refresh. Overall, this web-based task reminder system successfully fulfills user requirements in managing academic assignments more effectively, thereby fostering discipline and improving productivity in meeting academic deadlines
SIMULASI SERANGAN SIBER MAC ADDRESS DAN IP ADDRESS SPOOFING PADA JARINGAN HTTP DI KALI LINUX
No full textThe rapid development of information technology presents a big challenge in terms of network security, especially against cyber-attacks. This research simulates MAC Address Spoofing attack on HTTP network using Kali Linux operating system. The purpose of this research is to understand how the attack process is carried out and evaluate its impact on communication security in an unencrypted network. The attacker impersonated a gateway through ARP Spoofing technique and successfully infiltrated the communication path between the victim and the server. The captured data shows that sensitive information such as usernames and passwords can be easily retrieved when the victim accesses HTTP sites. The results show that spoofing has been successfully carried out, as evidenced by the acquisition of usernames and passwords when victims access HTTP sites
OPINI MASYARAKAT TERHADAP BONUS DEMOGRAFI PADA KANAL YOUTUBE DENGAN METODE TF-IDF, NAÏVE BAYES DAN SMOTE
No full textThis study examines public opinion on the demographic bonus issue expressed through comments on YouTube channels using the TF-IDF, Naïve Bayes, and SMOTE methods. The data used consists of 870 comments that have been manually labeled into positive and negative sentiments. The research stages include data pre-processing in the form of case folding, removal of non-alphabetic characters, stopword removal, and stemming, then feature extraction using TF-IDF to convert text into numeric representations that can be processed by the algorithm. This study compares the performance of the Naïve Bayes sentiment classification model in two scenarios, namely without and with the application of SMOTE. The SMOTE technique is used to overcome data imbalance between sentiment classes so that the classification results are more balanced and unbiased. The evaluation results show that the model without SMOTE produces an accuracy of 70% but has a very low recall in the positive class. After applying SMOTE, the accuracy increased to 77%, with the highest precision of 0.89 in the negative class and the highest recall of 0.92 in the positive class. The word cloud visualization shows the dominant words that reflect the pattern of public opinion regarding the demographic bonus clearly and informatively. The results of this study can provide a quantitative picture of public perception and be a consideration for policy makers. In the future, this method can be further developed with other algorithms and data from various social media platforms to improve the accuracy and representativeness of sentiment analysis
Exploring Lexical and Contextual Meaning in Olivia Rodrigo’s Song Lyrics in Sour Album
Get PDFThis research aimed to explore the lexical and contextual meanings in Olivia Rodrigo’s song lyrics from her album Sour. Using a qualitative descriptive approach, this study analyzed how Olivia Rodrigo’s word choice and context convey deep emotions and messages through literal and contextual meanings. The results of this study revealed how simple yet emotionally charged language is used to describe complex feelings and experiences. Songs such as Brutal, Jealousy, Jealousy, Traitor, and Hope Ur Ok feature themes of love, self-doubt, jealousy, social criticism, and personal growth. Song lyrics are seen as a language-based art form that not only relies on the beauty of words but is also loaded with emotional and social meaning. By analyzing word choice and context, this research also highlighted the way Olivia Rodrigo makes music a valuable tool for language learning and cultural analysis, enriching the understanding of emotional and linguistic expression in music. The research concluded that the lyrics in Sour analyzed through Literal and Contextual depict the narrative of modern life by using simple but powerful language, creating a deep emotional resonance with the listener
FORMULASI DAN MUTU FISIK SEDIAAN LULUR SCRUB ALGA COKLAT (Padina australis) DAN DAUN KELOR (Moringa oleifera L.)
No full textThe CLT Approach and Its Influence on Speaking Proficiency
Get PDFThe objective of this study is to investigate the influence of the Communicative Language Teaching (CLT) approach on the speaking ability of first-grade students. A quantitative method was employed, specifically a quasi-experimental design. There were two classes selected: one as the experimental group (X) and the other as the control group (Y). The participants were the first-grade students of SMAN 2 Kupang in the 2024/2025 academic year. Class A and Class B were chosen as the samples using purposive sampling. A questionnaire was administered to assess the perceptions of the experimental group regarding the implementation of the CLT approach. In addition, tests were conducted to measure students’ progress in speaking ability, and classroom observations were carried out to monitor student engagement during the application of the CLT approach. Based on the comparison between pre-test and post-test results, students’ post-test scores were higher than their pre-test scores. The results of the hypothesis testing showed that the calculated t-value is 12.503, which exceeded the critical t-value of 1.701 (t₠≥ tâ‚œ). Therefore, the null hypothesis (Hâ‚€) is rejected and the alternative hypothesis (Hâ‚) is accepted. These findings indicated that the implementation of the CLT approach was effective in improving the speaking ability of first-grade students
Peran Moderasi Pendapat Orang Tua antara Pengaruh Bauran Pemasaran terhadap Keputusan Siswa Memilih SMK Duta Bangsa Denpasar
Get PDFPenelitian yang dilakukan di SMK Duta Bangsa Denpasar, bertujuan untuk mengetahui pengaruh bauran pemasaran (marketing mix) terhadap keputusan siswa dalam memilih SMK Duta Bangsa Denpasar, pengaruh pendapat orang tua terhadap keputusan siswa dalam memilih SMK Duta Bangsa Denpasar, dan moderasi pendapat orang tua pada pengaruh bauran pemasaran terhadap keputusan siswa memilih SMK Duta bangsa Denpasar. Populasi adalah seluruh siswa SMK Duta Bangsa Denpasar sejumlah 90 orang. Jumlah sampel sama dengan populasi, sedang teknik sampling menggunakan total sampling, karena menggunakan jumlah sampel sama dengan populasi. Teknis analisis data menggunakan analisis deskriptif dan analisis inferensial. Dalam penelitian ini, pengujian hipotesis dilakukan menggunakan pendekatan variance based atau component based dengan warp Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa bauran pemasaran berpengaruh positif dan signifikan terhadap keputusan siswa memilih SMK Duta Bangsa Denpasar. Pendapat orang tua berpengaruh positif dan signifikan terhadap keputusan siswa memilih SMK Duta Bangsa Denpasar. Namun moderasi pendapat orang tua tidak berpengaruh pada bauran pemasaran dan keputusan siswa memilih SMK Duta Bangsa Denpasar
Aktivitas Antioksidan Ekstrak Etanol dan Ekstrak Terpurifikasi Kulit Jagung (Zea Mays Saccharata Sturt) dengan Metode Penangkap Radikal DPPH (2,2-Diphenyl-1-Picrylhydrazyl)
No full textRadikal bebas berkontribusi signifikan terhadap kerusakan sel dan berbagai penyakit degeneratif. Antioksidan dapat menetralisir radikal bebas, namun ketersediaan alami antioksidan perlu ditingkatkan. Penelitian ini bertujuan untuk mengevaluasi aktivitas antioksidan dari ekstrak etanol dan ekstrak terpurifikasi kulit jagung (Zea Mays Saccharata Sturt) menggunakan metode DPPH. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif. Ekstraksi dilakukan dengan pelarut etanol 96%, diikuti dengan proses purifikasi menggunakan metode kromatografi. Aktivitas antioksidan diuji menggunakan metode DPPH, dengan pengukuran absorbansi pada panjang gelombang 517 nm menggunakan spektrofotometer UV-Vis. Hasil penelitian menunjukkan bahwa ekstrak kulit jagung dan ekstrak terpurifikasi kulit jagung memiliki aktivitas antioksidan yang signifikan, dengan nilai IC50 masing-masing sebesar 352,70 µg/mL dan 341,68 µg/mL. Ekstrak terpurifikasi menunjukkan aktivitas yang lebih tinggi dibandingkan ekstrak etanol, yang menunjukkan adanya peningkatan kandungan flavonoid dan kemurnian. Selain itu, uji fitokimia mengidentifikasi adanya senyawa metabolit sekunder seperti flavonoid, tanin, dan saponin. Kesimpulannya, ekstrak terpurifikasi kulit jagung lebih efektif sebagai antioksidan dibandingkan ekstrak etanol. Disarankan bagi masyarakat untuk memanfaatkan limbah kulit jagung sebagai sumber antioksidan alami. Tenaga kesehatan dapat mempertimbangkan penggunaannya dalam terapi preventif. Peneliti disarankan untuk mengeksplorasi lebih lanjut komponen bioaktif lainnya dalam kulit jagung serta melakukan uji klinis untuk memastikan manfaat dan keamanannya pada manusia.
Kata Kunci: Antioksidan, DPPH, ekstrak, kulit jagung, flavonoi