Pada sebuah departemen di PT. X terdapat reaktor batch berkapasitas 300 L yang berfungsi utama untuk mensintesis produk berbasis reaksi. Saat ini reaktor tersebut belum dilengkapi jalur pendingin aktif, sehingga kontrol suhu kurang optimal dan proses pendinginan pasca-reaksi berlangsung sangat lambat. Penelitian ini bertujuan merancang penambahan jalur koil pendingin dan menghitung kebutuhan kapasitas pendinginannya agar suhu produk dapat diturunkan dari 110?°C menjadi 60?°C secara cepat dan stabil, serta mengevaluasi kinerja termal sistem setelah modifikasi. Analisis beban panas dilakukan dengan persamaan Q = m•Cp•?T (m=300 kg, Cp=4180 J/kg•K, ?T=50?K) menghasilkan Q ? 62,7 MJ. Sistem pendingin baru berupa koil 10 lilitan terbuat dari Stainless Steel 316 dengan diameter pipa 1 inchi di sekeliling reaktor dirancang untuk mendapatkan laju aliran air pendingin 3,08 kg/s (11,08 m³/jam). Perhitungan menunjukkan kapasitas pendinginan baru sekitar 193 kW dengan selisih suhu air 15?K, dan prediksi waktu pendinginan hanya ~5,4 menit. Hasil pengujian menampilkan suhu akhir produk 60?°C dalam 5,4 menit (97% lebih cepat dari 3 jam sebelumnya). Penambahan jalur pendingin terbukti menurunkan viskositas produk dari 8.820 cP menjadi 6.980 cP (dalam rentang spesifikasi 2.000–8.000 cP) dan meningkatkan kandungan padatan dari 38,62% menjadi 39,51. Hal ini menunjukkan sistem pendingin baru berhasil mengoptimalkan sifat reologi dan kualitas produk melalui kontrol suhu yang lebih presisi.

Gangguan gastrointestinal fungsional (Functional Gastrointestinal Disorders/FGIDs) adalah kondisi kronis yang ditandai dengan gejala yang signifikan dan mempengaruhi kualitas hidup penderitanya. Penelitian ini mengkaji peran dukungan sosial dalam mengelola gejala FGIDs melalui narrative review yang komprehensif. Temuan menunjukkan bahwa dukungan sosial, termasuk dukungan emosional, instrumental, dan informasi, memiliki dampak positif yang signifikan terhadap kesejahteraan fisik dan mental individu dengan FGIDs. Dukungan sosial membantu mengurangi stres dan kecemasan, yang sering memperburuk gejala FGIDs, dengan menurunkan aktivitas sistem saraf simpatis dan meningkatkan aktivitas saraf vagus. Efektivitas dukungan sosial dipengaruhi oleh faktor budaya, kondisi ekonomi, dan stabilitas hubungan sosial. Penelitian juga menyoroti peran penting teknologi dan media sosial dalam menyediakan dukungan sosial yang lebih luas dan mudah diakses, meskipun penting untuk memastikan informasi yang diberikan dapat dipercaya dan berbasis bukti. Implikasi untuk praktik klinis mencakup integrasi dukungan sosial dalam rencana perawatan dan edukasi pasien serta keluarga. Penelitian lebih lanjut diperlukan untuk mengeksplorasi mekanisme spesifik dukungan sosial dan mengembangkan intervensi inovatif. Dengan memahami dan memanfaatkan kekuatan dukungan sosial, kita dapat membantu individu dengan FGIDs mengelola kondisi mereka dengan lebih baik dan meningkatkan kualitas hidup mereka.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

This study aims to develop an intuitive and efficient smart home control system by utilizing hand tracking and speech recognition technologies. These technologies employ the OpenCV, Mediapipe, PyAudio, and Speech Recognition libraries to recognize hand gestures and voice commands in real-time. The system is developed using a Raspberry Pi connected to a webcam and microphone as input devices, and a relay to control electronic appliances. The results show a high accuracy rate at optimal light intensity for hand tracking and a specific distance for speech recognition. This system is implemented in an IoT environment to control devices such as lights and door locks. The research is expected to contribute to the development of smarter and more user-friendly smart homes.

Settlement is a basic human need that is closely related to the feasibility of life and well-being. The purpose of this study is to gain a better understanding of settlement patterns that occur in rural and urban areas, and to investigate the factors that influence these patterns. This study collects, analyzes, and synthesizes related literature. The results show that settlement patterns in urban areas are denser and develop vertically, while settlement patterns in rural areas tend to be spread out and horizontal. Various factors, such as natural conditions (such as climate, topography, water and land availability), socio-economic factors (such as employment, education, and income), and government policies and local cultural developments, influence these differences. These results emphasize that understanding settlement patterns as a whole is essential to building areas that are equitable, sustainable, and responsive to community needs.

Riau Province is one of the largest contributors to GRDP in Indonesia with several leading sectors. This study aims to determine the leading sectors or base and non-base sectors in Riau Province. The data used in this study are secondary data obtained from the Riau Province Central Bureau of Statistics (BPS). The data was processed and analysed using the Location Quotient (LQ) analysis method. The results of Location Quotient (LQ) analysis show that there are 3 basic sectors or leading sectors in Riau Province for the 2018-2022 period. It is known that there are 3 basic sectors or leading sectors in Riau Province, the 3 sectors are the Agriculture, Forestry and Fisheries sector, the Mining and Quarrying sector, and the Manufacturing Industry sector with LQ analysis values of 2.15, 2.23, and 1.52, respectively. While the other 14 sectors are non-base sectors. For this reason, the government must better understand what sectors need to be improved and the need for cooperation from many parties so that these leading sectors can be maintained and further developed in the following year.

Penelitian ini bertujuan untuk Untuk mengetahui pengaruh infrastruktur jalan terhadap pertumbuhan ekonomi, pengaruh infrastruktur listrik terhadap pertumbuhan ekonomi dan pengaruh infrastruktur jalan dan listrik terhadap pertumbuhan ekonomi di Indonesia. Jenis penelitian ini menggunaan penelitian kuantitatif. enelitian ini menggunakan data sekunder. Data sekunder yaitu data yang diperoleh dalam bentuk jadi dan telah diolah oleh pihak lainnya yang biasanya dalam bentuk publikasi. Jenis data yang digunakan berupa data Time Series (runtun waktu). Sumber data diperoleh dari Badan Pusat Statistik (BPS). Metode yang digunakan dalam penelitian ini adalah Regresi Linier Berganda. Berdasarkan penelitian yang telah dilakukan mengenai pengaruh infrastruktur terhadap pertumbuhan ekonomi di Provinsi Aceh, dalam penelitian dapat menarik kesimpulan bahwa Variabel infrastruktur jalan yang terdapat nilai probabilitasnya yaitu sebesar 0.1804 > 0.05 sehinngga dapat disimpulkan bahwa infrastruktur jalan tidak berpengaruh terhadap pertumbuhan ekonomi. Variabel infrastruktur listrik yang terdapat nilai probabilitasnya yaitu sebesar 0.0220 < 0.05 sehinngga dapat disimpulkan bahwa infrastruktur listrik berpengaruh terhadap pertumbuhan ekonomi
 
Kata kunci: Pusat Pertumbuhan Ekonomi, Infrastruktur Jalan, Infrastruktur Listrik

The construction of the pier at Pasir Kuning Beach, Tempilang, West Bangka Regency, Bangka Belitung Islands, aims to improve access and facilities for visitors. The beach is famous for its yellow sand beauty and distinctive cultural attractions, such as the tradition of the Ketupat War. The planned pier will support tourism activities by providing facilities for tourist boats and improving safety in shipping. This study evaluates the technical and topographic aspects needed to determine the most appropriate location of the pier. By taking into account factors such as tides, waves, and currents, the optimal location for the construction of the pier was successfully identified. This study uses a quantitative descriptive method with secondary data collection and financial analysis involving parameters such as Net Present Value (NPV), Internal Rate of Return (IRR), Benefit Cost Ratio (BCR), and Payback Period (PP). The results of the analysis show that this project is financially feasible, with an NPV of IDR 2,664,366,232.32 (10% discount) and IDR 1,583,944,003.86 (15% discount), IRR of 13.1%, BCR of 1.4, and a payback time of 2.8 years. In addition, the project is expected to boost local economic growth through increasing the number of tourists and promoting local culture. Overall, this initiative not only focuses on the development of physical infrastructure but also on the development of tourism potential and the preservation of local culture, thus providing long-term benefits to the surrounding community.
 

In the era of globalization, the accounting profession is required to maintain integrity and accountability amid the complexity of different economic systems and cultures. Although international ethical standards have been harmonized, their application in countries like Indonesia still faces local challenges. This research aims to conduct a comparative study of the application of accounting professional ethics between Indonesian and international accountants, in order to gain a deeper understanding of the similarities, and differences in their implementation. The research method used is descriptive comparative with a qualitative approach. The results showed that both Indonesian and international standards apply similar principles of accounting professional ethics, such as integrity, objectivity, competence, confidentiality, and professional behavior, and are supported by a systematic conceptual framework. The difference lies in the institutional structure, depth of regulation, and scope of implementation, but both still lead to global harmonization to maintain integrity and public trust in the accounting profession.

This study aims to optimize the implementation of the K-Nearest Neighbors (K-NN) algorithm for medical image classification by focusing on selecting the optimal KKK parameter and applying dimensionality reduction techniques to improve accuracy and efficiency. The data used was sourced from public medical image repositories such as The Cancer Imaging Archive (TCIA) and Medical Image Analysis datasets, covering various diseases, including brain tumors, lung cancer, and kidney lesions. The research process involves data collection, data preprocessing, dimensionality reduction using Principal Component Analysis (PCA), applying the K-NN algorithm with Euclidean, Minkowski, and Cosine distance metrics, and performance evaluation using accuracy, precision, recall, and F1-score. Experimental results demonstrate that K=5with the Euclidean distance metric provides the best performance, achieving an accuracy of 90%. Additionally, PCA effectively reduces computational time by 30% without significantly compromising accuracy. This study proves that K-NN is an effective method for medical image classification. However, further research is needed to integrate K-NN with deep learning models to enhance performance and feature extraction capabilities.