Surakarta Christian University

Tuberkulosis (TB) masih menjadi masalah kesehatan masyarakat di Indonesia, termasuk di wilayah Jebres Surakarta. Berdasarkan data Dinas Kesehatan Kota Surakarta tahun 2024, Kecamatan Jebres memiliki kasus TB tertinggi yaitu 314 kasus. Ketidakpatuhan pasien dalam pengobatan menjadi penyebab rendahnya keberhasilan terapi, salah satunya dipengaruhi oleh dukungan keluarga. Tujuan: Mengetahui Hubungan Dukungan Keluarga Dengan Kepatuhan Pengobatan Dalam Proses Penyembuhan Tuberkulosis Di Wilayah Jebres Surakarta. Metode: Penelitian ini menggunakan desain kuantitatif analitik dengan pendekatan cross-sectional. Populasi penelitian sebesar 314. Sampel sebanyak 76 responden yang ditentukan menggunakan rumus slovin dan teknik purposive sampling. Instrumen penelitian berupa kuesioner dukungan keluarga dan kepatuhan pengobatan. Analisis data menggunakan uji Spearman Rho. Hasil: Responden memiliki dukungan keluarga baik (48,7%) dan kepatuhan tinggi (53,9%). Hasil analisa bivariat menunjukkan ada hubungan dukungan keluarga dengan kepatuhan pengobatan Tuberkulosis dengan hasil (p<0,05). Kesimpulan: Terdapat hubungan yang signifikan antara dukungan keluarga dengan kepatuhan pengobatan pada penderita Tuberkulosis. Dapat disimpulkan bahwa semakin baik tingkat dukungan keluarga, maka semakin tinggi kepatuhan pengobatan.

The advent of quantum computing poses significant threats to traditional cybersecurity systems, which rely on cryptographic algorithms vulnerable to quantum attacks. This research explores the utilization of artificial intelligence (AI) in designing a prototype cybersecurity system aimed at countering the emerging threats of quantum computing. The study integrates AI-based intrusion detection systems with quantum-resistant cryptographic techniques to enhance the security of digital systems against quantum-driven cyberattacks. A combination of machine learning algorithms, such as neural networks and decision trees, is employed to detect and mitigate potential cybersecurity breaches. Additionally, post-quantum cryptography (PQC) is incorporated to safeguard sensitive data against the capabilities of quantum computers. The results indicate that the proposed system outperforms conventional cybersecurity methods in detecting threats with greater speed and accuracy, while also providing robust protection against quantum-enabled attacks. Moreover, the integration of AI allows for adaptive and proactive defense mechanisms, improving the overall system resilience. The study concludes that combining AI with post-quantum cryptography offers a promising solution to secure digital infrastructures in the face of quantum computing advancements, marking a significant step toward future-proofing cybersecurity strategies.

Kucing adalah hewan peliharaan yang populer karena tingkah laku dan bentuk fisiknya yang menggemaskan. Kucing dipelihara dengan membutuhkan perhatian khusus, termasuk dalam hal pemberian makanan. Pemberian makanan yang sesuai dengan kebutuhan kucing penting untuk pertumbuhan optimal dan pencegahan dari masalah kesehatan. Sistem rekomendasi makanan kucing adalah solusi yang tepat bagi pemilik kucing untuk memilih makanan yang sesuai dengan kebutuhan hewan peliharaan mereka. Sistem rekomendasi merupakan sistem yang dirancang untuk membantu pengguna mendapatkan rekomendasi item yang relevan dan bermanfaat. Content based filtering merupakan sistem rekomendasi yang memberikan saran berdasarkan preferensi pengguna terhadap beberapa item, antara lain usia, varian, merk, rasa, ukuran, dan harga. Data yang digunakan yaitu data produk makanan kucing dengan merk whiskas, cat choize, Me-O, dan royal canin yang ada di Pet Shop Colomadu. Nilai rekomendasi dihitung berdasarkan nilai cosine similarity antara dua item. Dilakukan dua pengujian sistem, yaitu pengujian fungsionalitas (blackbox) dan pengujian validitas. Pengujian fungsionalitas dilakukan dengan memastikan fungsi sistem berjalan dengan baik dan pengujian validas dilakukan dengan cara membandingkan antara hasil rekomendasi yang dihitung secara manual dengan rekomendasi yang dihasilkan sistem. Hasil pengujian fungsionalitas menunjukkan sistem dapat berfungsi dengan baik. Hasil pengujian validitas menunjukkan sistem valid dan dapat digunakan dengan tepat. Hal tersebut dapat disimpulkan bahwa sistem rekomendasi makanan kucing dengan menggunakan metode content-based filtering dapat digunakan untuk merekomendasikan makanan kucing yang tepat.

YouTube telah menjadi platform utama untuk konsumsi konten video, dengan tren video yang terus berkembang sesuai perubahan minat audiens. Penelitian ini bertujuan untuk mengelompokkan film trending di YouTube berdasarkan judul dan popularitasnya menggunakan pendekatan TF-IDF dan K-Means Clustering. TF-IDF digunakan untuk mengekstraksi fitur dari judul video, mengidentifikasi kata-kata kunci penting yang mencirikan tema setiap film. Algoritma K-Means kemudian digunakan untuk mengelompokkan video ke dalam beberapa cluster berdasarkan kemiripan fitur TF-IDF dan jumlah views. Hasil penelitian menunjukkan bahwa video dapat dikelompokkan ke dalam tiga cluster dengan karakteristik unik. Cluster pertama berisi video dengan tema komedi, aktor populer, dan jumlah views tinggi. Cluster kedua mencakup video dari berbagai genre dengan jumlah views yang bervariasi. Cluster ketiga terdiri dari video yang lebih spesifik dengan popularitas tinggi. Evaluasi menggunakan Silhouette Score menunjukkan bahwa kualitas clustering masih dapat ditingkatkan. Penelitian ini memberikan wawasan bagi kreator konten dan pemasar digital untuk menyusun strategi konten yang lebih menarik dan relevan, serta memberikan kontribusi akademis dalam analisis data berbasis teks.

Robusta coffee is one type of coffee that can grow well in Indonesia. Robusta coffee has 2.2% more caffeine and less sugar than Arabica coffee. This coffee may be a more interesting coffee variety from different levels of taste and thickness. In addition, Robusta coffee is very accommodating to the economy of several coffee-producing countries around the world, including Indonesia. A number of factors, especially pests and diseases, can reduce the productivity and quality of coffee plants. This is also confirmed by coffee experts who conducted research on pests and diseases in Robusta coffee plants. This study aims to develop an expert-based system that can identify problems and diseases in Robusta coffee plants using the Dempster Shafer method, and developed in a web-based platform. From the data collected from literature studies, dialogue with farmers, and consultation with an expert, 13 types of pests and diseases were obtained, and 27 symptoms of the disease. The results of this study are the development of a web-based expert system that can diagnose pests or diseases from several symptom inputs filled in by users or coffee farmers. The results of the trial of 13 test cases on the diagnosis of pests and diseases of Robusta coffee plants obtained an average accuracy value of 94%. This shows that this expert system can analyze the types of pests or diseases in Robusta coffee plants very well using the Dempster Shafer method.

Blockchain is a technology based on cryptography which uses the principle of distributed ledgers (distributed ledgers) distribution) provides a variety of advantages, especially in security matters. Use of distributed ledgers as the basis of blockchain technology turns out to be very similar to that concept is very familiar among libraries, namely LOCKSS (Lots of Copies Keep Stuff Save). This is the meeting point between blockchain technology and libraries. Starting from here, possibilities open up for libraries to implement blockchain technology. Various potential applications of blockchain technology for libraries include: procurement and maintenance of library materials, innovation in circulation services, cataloging, guaranteed protection of personal data and library membership cards, e-book publishing, support for scientific publications and digital rights management, management special collections, research support, financial literacy and UKTS library analysis. However, on the other hand, there are also challenges and obstacles that accompany efforts to implement blockchain technology in UKTS libraries, including: limited knowledge of blockchain technology, challenges in being able to choose the right blockchain, the large costs that must be incurred by libraries starting from implementation costs, maintenance costs to the costs of developing the blockchain system itself, and the last and quite sensitive issue is that there are still some people in scientific circles who think that the issue of personal data security in the blockchain system is not completely safe.

This research aims to determine the influence of Carbon emission Disclosure, Good Corporate Governance, and Media Exposure on investor reactions. The population used is energy companies listed on the Indonesian Sharia Stock Index for 2021-2022. The number of samples in the study was 70, using the purposive sampling method. Meanwhile, the research data used is secondary data in the form of annual reports obtained from the IDX and issuer websites. The analytical method used is multiple linear regression analysis. The research results show that disclosure of carbon emissions significantly negatively affects investor reactions. This is because there is still very little socialization from the company regarding operational activities in the environment towards the community as shareholders. Meanwhile, Good Corporate Governance and Media exposure significantly affect investor reactions.

The extensive use of social media, particularly Twitter, provides a data source for post-analysis on the platform. Many writings describe the condition as if a person is under stress. Stress can happen to anyone, and prolonged stress can lead to mental health problems. Text analysis is a method to extract information derived from unstructured data, namely text data. In doing their job, computers cannot process data in the form of text, so the weighting of a word becomes very important, where it can represent words in numerical form. One method of reproducing text data into numerical form is Term Frequency Inverse Document Frequency (TF-IDF). This study aims to analyze text data on mental health using TF- IDF (Term Frequency-Inverse Document Frequency) feature extraction with three learning models for classification, namely SVM (Support Vector Machine), Random Forest, and Decision Tree. The classification results show that SVM has an accuracy rate of 89%, Random Forest 88%, and Decision Tree 83%. The test results show that SVM has better performance than other classification models.

Various fields can collaborate in analyzing specific phenomena, such as the impact of the COVID-19 pandemic. Most research tends to focus on one aspect of the discipline, such as economics, health, spread predictions, and the like. Given its impact not only on health but also on other aspects, this study utilizes the processing of spatial data derived from satellite imagery using Geographic Information System (GIS) to observe the impact of the pandemic phenomenon on environmental conditions, i.e., surface temperature warming in the city of Bekasi, Indonesia. This research utilizes GIS tools to convert Landsat 7 and Landsat 8 datasets by extracting thermal sensors (Band 10 and Band 11). The test results show an annual increase in temperature, but a decrease of approximately 10 degrees Celsius during the COVID-19 pandemic. This indicates the possibility of reducing temperature by reducing carbon usage as closely as possible to pandemic conditions.

The bottled consuming water enterprise has grown rapidly to diverse provinces and cities in the course of Indonesia now. The development of this enterprise is because of high call for clients and the lower nice of uncooked water in springs and wells PT. Cahaya Bumi Intanpari (CBI) is a agency that produces gallons, bottles, and glasses bottled drinking water beneath the logo “AirMu”. sales of bottled water every month constantly vary, the control of PT. Cahaya Bumi Intanpari calls for an estimate of the quantity of manufacturing of each type of bottled water to marketplace demand within the destiny. based totally at the description of the history, in this take a look at, a computing device-based application became designed and built. The research method used consists of information series and statistics analysis, statistics series includes remark, interviews, and literature have a look at, whilst statistics evaluation consists of making facts waft diagrams. The forecasting version is used in forecasting the income of bottled drinking water at PT. Cahaya Bumi Intanpari is a time series or it may be referred to as a time collection, and the forecasting technique used is unmarried exponential smoothing. From the outcomes of calculation checking out, it's far demonstrated that the single exponential smoothing method can be applied inside the AMDK income forecasting system, primarily based on the validity take alook at, it’s miles discovered that the prediction check effects of bottled consuming water sales below 20% are covered within the appropriate standards.