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ARRUS Journal of Mathematics and Applied Science
Published by Yayasan Ahmar Cendekia Indonesia
ISSN : 27767922     EISSN : 28073037     DOI : https://doi.org/10.35877/mathscience.v1i1
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Mathematics Physics
Aim: To drive forward the fields related to Applied Sciences, Mathematics, and Its Education by providing a high-quality evidence base for academicians, researchers, scholars, scientists, managers, policymakers, and students. Scope: The focus is to publish papers that are authentic, original, and plagiarism free and should in interest of society and the world.
Arjuna Subject : Umum - Umum
Articles 6 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2024)" : 6 Documents clear
Applied of the Self-Organizing Maps (SOM) Method for Clustering Educational Equity in South Sulawesi Gunawan, Andi Restu; Sudarmin, Sudarmin; Rais, Zulkifli
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2607

Abstract

This research aims to group regencies/cities based on education indicators and identify the characteristics of each group formed based on education indicators. The method used in this research is Self self-organizing map (SOM). SOM is an artificial neural network that requires no assumptions and a method that produces a representation of the input space from low-dimensional training samples. The data used in this research are 9 variables regarding pure enrollment rates, gross enrollment rates, and student-to-teacher ratios at each level of education in 24 districts/cities in South Sulawesi in 2020-2021 which come from BPS publications. Based on the results obtained, 4 clusters were formed, each of which had its characteristics. The clusters formed include Cluster 1 consisting of 7 regencies/cities, cluster 2 consisting of 10 regencies/cities, cluster 3 consisting of 4 regencies/cities, and Cluster 4 consisting of 2 regencies. Based on the results of cluster validation using the Dunn index, 4 optimal clusters were obtained with a value of 0.42.
Implementation of the Support Vector Regression (SVR) Method in Inflation Prediction in Makassar City Ruliana, Ruliana; Rais, Zulkifli; Marni, Marni; Ahmar, Ansari Saleh
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2608

Abstract

Inflation is an important economic indicator, the growth rate is always kept low and stable. One step to deal with the possibility of a high inflation rate is to know the picture of the inflation rate in the future by making predictions. Prediction is a method used to determine a value or need in the next period. Support Vector Regression (SVR) is a development of the Support Vector Machine (SVM) method which is used for regression cases which can handle non-linear data cases. The problem that often occurs when using the SVR method is determining optimal model parameters. One way to determine the best parameters for the SVR method is to use Grid Search Optimization. The stages of the SVR method include data normalization, dividing training data and testing data, using the Radial Basis Function kernel, selecting the best parameters using Grid Search Optimization, and making predictions using the best model obtained with parameters γ = 10, ∁ = 100, and ε. = 0.1 with k = 5. The prediction results obtained were then evaluated by looking at the RMSE value, the RMSE value obtained was 0.029, which means the model's ability to follow the data pattern well and the prediction results made were very good.
Route Determination for Distribution by Using a Combination of Branch and Bound Algorithm and Cheapest Insertion Heuristic Mas'ud, Syamsuddin
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2636

Abstract

This paper discusses the determination of the LPG Gas distribution route using the concept of the Traveling Salesman Problem. The research data is secondary data obtained from a previous study, where in that study, the generated routes had different starting and ending points. However, in this research, the sought-after routes are those with the same starting and ending points. Such routes are sought with the consideration that in a travel route, the starting and ending points are usually the same. The Traveling Salesman Problem method used in determining these routes is the Branch and Bound algorithm combined with the Cheapest Insertion Heuristic. The distribution route obtained is v1 – v2 – v6 – v11 – v10 – v7 – v9 – v12 – v13 – v14 – v13 – v12 – v9 – v8 – v4 – v5 – v4 – v3 – v2 – v1.
Analysis of Student Learning Styles in Science Subjects at SMPN 40 Makassar Arsyad, Arie Arma; Sari, Nur Indah
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2638

Abstract

Student learning style is one of the important information that a teacher needs to know before conducting learning activities, so that the teacher can determine the learning process that is suitable for the class. This descriptive quantitative research aims to analyze the characteristics of students' learning styles. The research subjects consisted of 23 students who were students of VIII.2, VII.4, and VIII.6 classes at SMP Negeri 40 Makassar. The learning style instrument is a multiple choice questionnaire, with a total of 50 questions, each question has five answer choices. The learning styles studied focus on Visual, Auditory, and Kinesthetic learning styles. The data were analyzed quantitatively by reducing data, presenting data, and making conclusions. The results of research on learning styles for classes VIII.2 and VIII.4 are auditory, while VIII.6 is a visual learning style and in general in class VIII at SMPN 40 Makassar are auditorial learning.
Perceptions of Mathematics Education Professional Teacher Education Program (PPG) Students towards the PPG Program Musa, Hastuty; Rusli, Rusli; Jufri, Hasrini
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2763

Abstract

The Pre-Service Professional Teacher Education (PPG) program is designed to equip prospective teachers with the knowledge, skills, and professional values necessary to become qualified teachers. This research aims to investigate the perceptions of PPG students towards the Pre-Service PPG program, particularly in terms of curriculum, teaching methods, lecturers, and facilities. A descriptive research method was employed using a survey technique. Data was collected through questionnaires distributed to 102 Pre-Service PPG students via Google Forms. The research findings revealed that the majority of students (99.65%) perceived that the PPG program can enhance their professional competence. They rated the Pre-Service PPG program's curriculum as relevant to the needs of prospective teachers (99.1%), its teaching methods as varied and engaging (99.2%), its facilities as adequate (99%), its field practice support as exceptional (100%), its character and soft skills development as outstanding (100%), and its administrative and financial support as sufficient (89.7%). These findings indicate that the Pre-Service PPG program has been successful in equipping prospective teachers with the knowledge, skills, and professional values required to become qualified teachers. The positive perceptions of PPG students towards the Pre-Service PPG program serve as an indicator that this program has fulfilled its objectives in enhancing teacher quality in Indonesia.
Strategy for Development of Seaweed Cultivation Production Using the Long Line System Method Rasjid, Yusniar; Taskirah, Andi
ARRUS Journal of Mathematics and Applied Science Vol. 4 No. 1 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2937

Abstract

This research aims to determine the development of Eucheumaspinosium seaweed cultivation techniques using the long-line method and the quality of seaweed using the long-line method. The samples in this research are seaweed Eucheuma sp. The data collection technique is quantitative data in quantities derived from the shape and cleanliness of seaweed cultivated using the long line method. The data obtained were analyzed using an experimental design (RAL). From the results of the data analysis, it can be seen that cultivating Eucheuma Spinosium seaweed, using node distances of 2cm, 5cm, 10cm, 15cm, and 20 cm, the best node distance to use using the long line method is 10 cm which shows greater growth. fast compared to other distances, but this 10 cm distance still does not affect the quality of the Eucheuma sp seaweed.

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