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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 75 Documents
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Peramalan Jumlah Penderita Demam Berdarah Dengue Menggunakan Metode Seasonal-ARIMA Zaki, Ahmad; Wahyuni, Maya Sari; Irwan, Irwan; Rahman, Abdul
ARRUS Journal of Mathematics and Applied Science Vol. 3 No. 2 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2143

Abstract

Penelitian ini membahas tentang peramalan jumlah penderita Demam Berdarah Dengue (DBD) menggunakan metode Seasonal Autoregressive Integrated Moving Average (Seasonal-ARIMA). Tujuan dari penelitian ini adalah untuk mendapatkan model Seasonal-ARIMA terbaik sehingga dapat meramalkan jumlah penderita DBD di Kabupaten Bulukumba untuk 12 bulan ke depan. Jenis penelitian ini adalah penelitian terapan dengan data sekunder yang diperoleh dari Dinas Kesehatan Kabupaten Bulukumba. Jumlah data yang digunakan adalah 84 data dari tahun 2014-2020. Data dianalisis dengan menggunakan software Minitab 17. Hasil penelitian ini diperoleh model terbaik yaitu model Seasonal-ARIMAuntuk melakukan peramalan 12 bulan ke depan dengan nilai MAPE sebesar 30,62% yang berarti bahwa model peramalan cukup baik, layak dan memadai untuk melakukan peramalan.
Pemodelan Angka Buta Huruf di Provinsi Sulawesi Selatan Menggunakan Geographically Weighted Regression Sanusi, Wahidah; Irwan, Irwan; Arkas, Amaliah Nurul; Rusli, Rusli
ARRUS Journal of Mathematics and Applied Science Vol. 3 No. 2 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2144

Abstract

Perbedaan karakteristik pada setiap kabupaten/kota di Provinsi Sulawesi Selatan menyebabkan terjadinya heterogenitas spasial sehingga metode regresi linear global menjadi kurang tepat digunakan pada data spasial dan metode Geographically Weighted Regression (GWR) lebih cocok digunakan. Tujuan penelitian ini adalah untuk mengetahui karakteristik Angka Buta Huruf (ABH) di 24 kabupaten/kota di Provinsi Sulawesi Selatan dan variabel-variabel yang mempengaruhinya dengan menggunakan GWR. Variabel prediktor yang digunakan adalah persentase penduduk miskin (PPM), angka partisipasi sekolah (APS), rata-rata lama sekolah (RLS), jumlah tenaga pendidik (JTP), dan persentase penduduk yang memiliki telepon seluler (PMTS). Teknik pengumpulan Data menggunakan metode dokumentasi. Data dianalisis menggunakan statistik deskriptif dan inferensial menggunakan metode Weighted Least Square (WLS). Hasil penelitian ini menunjukkan bahwa model GWR (koefisien determinasi 86,1%) lebih baik dalam menjelaskan angka buta huruf dibandingkan dengan model regresi linear berganda (koefisien determinasi 69,2%). Koefisien regresi dan variabel yang mempengaruhi angka buta huruf berbeda pada setiap lokasi, estimasi parameter berlaku secara lokal. Lokasi yang saling berdekatan cenderung memiliki pengaruh variabel prediktor yang sama, kecuali pada kota Palopo, Tana Toraja, dan Toraja Utara tidak memiliki pengaruh variabel prediktor yang signifikan.
Adapting to Change: The Effects of Case Study Approaches on Problem-Solving Skills Ahmar, Dewi Satria; Azzajjad, Muhammad Fath; Ahmar, Ansari Saleh
ARRUS Journal of Mathematics and Applied Science Vol. 3 No. 2 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2206

Abstract

The purpose of this study is to determine whether the case study methodology has a substantial effect on students' problem-solving skills when compared to traditional learning approaches. The research sample consisted of 56 students divided into two groups: experimental (taught using the case study approach) and control (taught using the traditional method). The quantitative quasi-experiment approach was applied in this study. The experimental class had an average value of 70.7143, whereas the control class had an average value of 62.1429. The independent t-test yielded a significance value of 0.055, suggesting a degree of significance lower than the standard criterion of 0.05. The key conclusion of this study is that employing case studies improves soft skills during the learning process. However, the development of pupils' hard skills is still seen as minor. This study contributes to a better understanding of the influence of the case study technique on problem-solving learning. These findings may be used to provide practical recommendations to increase the efficacy of learning methodologies in acquiring both types of abilities. More study is needed to investigate the elements that impact the observed outcomes and increase the statistical significance in the development of students' skills.
Optimizing the Ability to Handle Toxic and Hazardous Waste Through Problem-Based Learning Azzajjad, Muhammad Fath; Ahmar, Dewi Satria; Ahmar, Ansari Saleh
ARRUS Journal of Mathematics and Applied Science Vol. 3 No. 2 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2209

Abstract

The purpose of this study is to compare the efficacy of the Problem-Based Learning (PBL) learning model to traditional learning in developing the competence to manage Hazardous and Toxic Materials (B3) in basic laboratory courses. In this form of experimental research utilizing a Pre-Test and Post-Test Control Group Design, The N-gain values in the experimental (0.774) and control (0.8163) groups increased significantly, with g> 0.7 indicating a high category. The N-gain percent in the experimental (77.4026) and control (81.627) courses topped 76%, showing that both learning approaches were effective. Even though the Mann-Whitney non-parametric test revealed no significant difference between the experimental and control groups on the posttest and pretest, the conclusion that PBL had no meaningful impact must be regarded in the context of this study. Overall, both PBL and traditional methods improved B3 handling abilities, and these findings may aid in the creation of more effective learning methodologies in the future.
Utilization of Dried Banana Leaf Waste and Addition of Molasses as a Growing Media for White Oyster Mushroom Growth (Pleurotus Ostreatus) Yahya, Muhammad; Rasjid, Yusniar; Sunarti, Lilis
ARRUS Journal of Mathematics and Applied Science Vol. 3 No. 2 (2023)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience2375

Abstract

This type of research is a pure experimental type of research and uses a quantitative experimental approach, which aims to: (1) find out whether there is an effect of dry banana leaf waste media and the addition of molasses on the growth of white oyster mushrooms (Pleurotus ostreatus), (2) find out how many treatments dry banana leaf waste media and the addition of molasses which gave the best results for the growth of white oyster mushrooms (Pleurotus ostreatus). This research was structured in a Completely Randomized Design (CRD) with a single factor consisting of 7 treatments and carried out 4 times. Thus, there are a total of 28 baglogs/experimental units. The data analysis technique used is an analysis of variance (ANOVA) with a further test using the Least Significant Difference (BNT). The results of the research showed that the planting medium of dried banana leaf waste and the addition of molasses had a real effect on the initial time of mycelium growth (HSI), and the time to pour the mycelium (full colony) (HSI), and had no real effect on the width of the cap (cm), length ( cm), and wet fruit body weight (gr) of white oyster mushroom (Pleurotus ostreatus). The best treatment results on dry banana leaf waste planting media and the addition of molasses to the fastest initial growth time of the mycelium were in treatment (D2) (4.25 HSI), and the fastest time of heating the mycelium (full colony) was in treatment D0 (29 DAS). Meanwhile, D5 was the best treatment for hood
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.

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