Purpose: The goal of this research is to create a precise prediction model that can differentiate between spiral and non-spiral galaxies using the Zoo galaxy dataset. Decision tree analysis and random forest models will be used to construct the model, and various conditions within the dataset will be employed to classify the data accurately. The model's performance will be evaluated using a confusion matrix, and the probability of predicting spiral galaxies will be analyzed. The research will also investigate the differences in Total Power among signal types and identify Peak Frequency and Bandwidth values consistent across all signal types. This study is expected to provide important insights into galaxy classification and signal characteristics, specifically in the fields of astronomy and astrophysics.Methods: This study utilized the decision tree analysis research method to create a predictive model for identifying spiral galaxies using the Zoo galaxy dataset. The research approach focused on analyzing data before constructing a prediction model. The study did not involve random sampling, making it an observational study. Decision tree analysis was employed to classify galaxies into homogeneous groups, and a random forest model was used to classify galaxy types. This research provides insights into how decision tree analysis can be utilized to comprehend galaxy classification and can serve as a foundation for future research. To strengthen the conclusions, combining this research with other approaches such as experiments or random sampling can be considered.Result: This study developed a predictive model for classifying galaxies based on their Spiral type using decision tree analysis on the Zoo galaxy dataset. The model divided the data into specific groups based on certain conditions, and the results demonstrated exceptional accuracy of the random forest model in categorizing galaxy types. In addition, the study investigated various signal types in galaxies and found variations in Total Power, but consistent values for Peak Frequency and Bandwidth at 2 in all signals. These findings provide valuable insights into galaxy classification and signal characteristics, which could have practical applications in communication, signal processing, and analysis. The utilization of decision tree analysis and random forest models for galaxy classification and signal analysis represents an innovative approach in this field.Novelty: The novelty of this research lies in the new approach to categorizing galaxy types using decision tree and random forest models. Previously, the approach used to categorize galaxy types was through visual methods and observations via telescopes. This new approach provides a new and potentially more efficient way of processing galaxy image data, resulting in faster and more accurate categorization. Moreover, this research contributes to the development of signal analysis applications such as Total Power, Peak Frequency, and Bandwidth, which were previously only used in the fields of astronomy and astrophysics. However, they have the potential for wider applications in the fields of communication, signal processing, and analysis beyond astronomy
Lempeng Eurasia adalah lempeng tektonik terbesar ketiga yang berada di daerah Eurasia, daratan yang terdiri dari benua Eropa dan Asia. Lempeng Sunda merupakan bagian dari Lempeng Eurasia yang rumit secara tektonik dan aktif secara seismik.Adapun tujuan penelitian ini adalah untuk menentukan karakterisik pola patahan akibat gempabumi tanggal 17 Juli 2006 di Laut Selatan Jawa dengan sumber data dari katalog gempa bumi USGS. Analisis bola fokus bahwa gempa tanggal 17 Juli 2006 dengan koordinat 9.3° S dan 107.4° E adalah kombinasi sesar mendatar dan sesar naik atau jenis sesar ini disebut juga oblique. Hasil analisis 3D Focal Mechanism dan perhitungan rumus empiris menunjukkan bahwa terjadinya penjalaran gelombang tsunami (Tsunami Travel Time) kedaerah pantai dipesisir Jawa selatan mempunyai waktu sekitar 30 menit, sehingga diperlukan kesiapsiagaan dalam menghadapi bencana. The Eurasian Plate is the third largest tectonic plate in the Eurasia region, a land consisting of Europe and Asia. The Sunda Plate is part of the Eurasian Plate which is complicated by tectonics and seismically active. The purpose of this study is to determine the characteristics of the fault patterns due to the earthquake on 17 July 2006 in the South Sea of Java with data sources from the USGS earthquake catalog. Focus ball analysis that the earthquake on July 17, 2006 with coordinates 9.3° S and 107.4° E is a combination of horizontal faults and rising faults or this type of fault is also called oblique. The results of the 3D Focal Me chanism analysis and the calculation of empirical formulas indicate that the occurrence of tsunami wave propagation in the coastal areas of South Java approximately 30 minutes, so that preparedness is needed in the face of disasters.
This study aims to analyze the correlation of temperature and humidity based on climatological data from Kuningan, West Java province, Indonesia, using non-linear regression and numerical analysis using the bisection method. In studying the education curriculum in Indonesia, most of them have studied linear regression, but only within certain limits, namely linear and multiple. It is still rare for students to use non-linear regression in their analysis. This paper will explain the analysis using non-linear regression as a source of data and equations in numerical analysis so that it can be applied in the context of the numerical bisection method. As for data processing and numerical analysis, Microsoft Excel is used. The authors combined the two variables in the non-linear analysis and used geometric equations for the numerical quotient analysis. The author displays the results of numerical graphs and real-time data obtained from the source "Data access viewer NASA."
The hyper-redundant type of robot is a type of robot that in carrying out its duties in the field of kinematics its degrees of freedom exceed the required minimum degrees. The advantage will be increased capability in operation and performance, if the degrees of freedom are excessive, even in unorganized and complex systems and environments. Algebraic approach method in inverse kinematics algorithm analysis can use; analytic algebra, jacobian basis, analytic KI, exponential multiplication, grobner, and conformal geometry. Iterative approach method in inverse kinematics algorithm analysis can use; genetic algorithm, fuzzy logic, ANFIS, and evolutionary algorithm. The geometric approach method in the inverse kinematics algorithm analysis can use; capital method. The purpose of this study is to analyze a virtual 2 arm robot, which will use axis manipulation in three dimensions using an inverse kinematics solution, using a geometric approach. How to step along on the z axis by rotating and using the reverse kinematics solution to the desired location. The visualization results will be repeated so as to ensure the effectiveness of the algorithm. As for this algorithm will provide a single solution, and this algorithm will prevent and reduce singularities if the link is lower.
Penduduk Indonesia yang tinggal di kawasan pesisir belum seluruhnya mendapatkan akses air tawar yang bersih dan layak konsumsi. Bantuan Pemerintah berupa alat desalinasi air laut berteknologi tinggi seperti sea water reverse osmosis, seringkali terkendala dalam pengoperasiannya. Salah satu alat desalinasi air laut paling sederhana dan mudah diterapkan oleh masyarakat pesisir adalah solar water distiller. Project ini mengaplikasikan konsep passive solar still konvensional yang ditambahkan alat pemanas air sederhana untuk meningkatkan laju evaporasi. Makalah ini menyajikan proses pembuatan alat tersebut mulai dari desain, pemilihan bahan, fabrikasi hingga pengujiannya. Hasil riset menunjukkan bahwa alat destilasi air laut dengan penambahan pemanas air sederhana efektif meningkatkan suhu air laut/brine secara signifikan. Kondisi tersebut memicu efisiensi peningkatan laju evaporasi (>300% pada kondisi optimum) sehingga dapat meningkatkan kecepatan produksi air suling. Hasil pengamatan menunjukkan bahwa air suling yang dihasilkan memiliki nilai rata rata TDS=11 mg/L, pH=7,3, tidak berbau dan tidak berasa. Dengan demikian berdasarkan standar baku mutu yang ditetapkan oleh Menteri Kesehatan Republik Indonesia, air hasil destilasi tersebut layak untuk keperluan higiene sanitasi dan dapat dikonsumsi setelah melalui proses pemanasan untuk mematikan bakteri. Alat penyulingan air laut ini berbiaya murah dan dapat diaplikasikan dengan mudah oleh masyarakat di kawasan pesisir, baik dalam pengoperasian maupun penggantian suku cadang
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