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Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Published by Asosiasi Riset Ilmu Matematika dan Sains Indonesia
ISSN : 30326230     EISSN : 30465427     DOI : 10.62383
Core Subject : Science, Education,
Earth & Planetary Sciences Mathematics
Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa. Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 174 Documents
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Penerapan Teori Permainan dalam Menentukan Strategi Pemasaran Optimum pada Produk Mi Instan (Mie Sedaap, Gaga, dan Supermi) di Lingkungan Mahasiswa Matematika Universitas Sumatera Utara Miftah Khairani; Muhammad Romi Syahputra; Parapat Gultom; Mardiningsih Mardiningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.271

Abstract

Instant noodle consumption in Indonesia has continued to increase in the last few years, which indicates that there are more business opportunities for instant noodle products in Indonesia. Proved by the number of instant noodle brands scattered on the market. This has led to increased competition among companies in order to be the best in the eyes of consumers. Marketing strategies are needed to win competition as well as increase sales, ranging from taste innovations, prices, product quality, promotions, and so on. In this study, game theory is used to investigate the competition between Mie Sedaap, Gaga, and Supermi. Using pure strategy is obtained game value that shows that the optimal strategy for Mie Sedaap is ease of purchase, the optimum strategy for Gaga is packaging strategy, and the optimum strategy for Supermi is price strategy.
Pengaruh Model Pembelajaran Problem Based Learning (PBL) Berbasis TPACK terhadap Hasil Belajar Peserta Didik Kelas IV pada Mata Pelajaran IPAS SD Negeri 01 Munggur Adella Gita Praviesta; Oktiana Handini; Mukhlis Mustofa
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.273

Abstract

This study aims to determine the significant effect of the Problem Based Learning (PBL) based on the Magnet TPACK of SD Negeri 01 Munggur. This research uses a qualitative type of research based on the philosophy of polytheism. The population and sample used for the research were 28 students of class IV of SD Negeri 01 Munggur. The technique used in selecting the sample was purposive sampling. This research utilizes the One-Group Pretest-Posttest Design. In this design, before the treatment is given, a pre-test (alwall test) is given before the treatment is given and after the treatment is given, a post-test (final test) is given. Data collection techniques using observation, tests and documentation. Based on the results of the study, the conclusion is that there is a significant use of the Problem Balsed Lealing model of learning based on TPACK in class IV of SD N 01 Munggur. The effect of the PBL learning model based on TPACK on the learning outcomes of IPALS in class IV before the treatment was given, the maximum score was 90, while the minimum score was 45. The mean score was 63.92, the median was 62.5. Data analysis results using palired salmpel t-tes it is known that the mean value it is known that the mean pretest value of students 57,6 while the mean posttest for students was 63.92. The results of the statistical test with the crossed sample t-test recognize the effect of the Problem Balsed Learning (PBL) model based on TPACK Regarding the learning outcomes of grade IV students in the subject of science at SD Negeri 01 Munggur, it was found that based on the paired sample t-test table, the significant value (2 tallies) 0.000 <0.05 indicated that there was a difference between the initial and final variables(pretest & posttest), this proves that there is a significant effect on the difference in the need for calcualn given for the variable.
Penyelesaian Masalah Limit Fungsi dengan Menggunakan Software MATLAB (Matrix Laboratory) Mikolis Etimanta Ginting; Eka Sri Hartini Hasibuan; Danu Rama Dani; Nia Devi Friskauly; Witri Wardani Hulu
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.274

Abstract

The solutions of limit problems is one of fundamental concepts in real analysis, applicable in various fields of mathematics and other sciences. However, determining limit can sometimes present challenges, particularly when the fuction in question is complex and difficult to solve manually. This study demostrates the use of MATLAB as a tool to assist in solving such problems numerically. The findings show that MATLAB is realible in calculating the limits of specific fuctions, offering accurate solutions more efficiently and quickly compared to manual methods.
Penerapan Analisis Faktor dalam Menentukan Faktor-Faktor yang Mempengaruhi Keputusan Belanja Online Melalui Aplikasi Shopee (Studi Kasus: Mahasiswa Universitas Sumatera Utara) Bunga Sakinah; Elly Rosmaini; Muhammad Romi Syahputra; Mardiningsih Mardiningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.275

Abstract

Factor analysis is a statistical method aimed at exploring correlations or relationships among variables studied, which are then grouped into fewer new factors. Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensions of data with the goal of identifying hidden patterns or significant structures within the data. The research results indicate the presence of 5 factors influencing the decision-making process in online shopping among students of the University of North Sumatra via Shopee, namely the Funding Application Factor (28.141%), Information Reputation Factor (13.983%), Communication Satisfaction Factor (7.452%), Types and Compensation Factor (6.683%), and Guarantees and Prices Factor (5.794%). These five factors obtained a cumulative variance of 62.051%, indicating that they influence online shopping decisions through Shopee among University of North Sumatra students by 62.051%.
Analisis Kemampuan Mahasiswa Matematika FMIPA Unimed dalam Menyelesaikan Permasalahan Konvergensi dan Divergensi Barisan Bilangan Real dengan Berbantuan Software MATLAB Cecilia Br Perangin Angin; Combest Prajogo Tambunan; Raja Harly Anugrah Lubis; Usnul Marisa Siregar; Yumna Khairi Amani Piliang
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.281

Abstract

This research aims to analyze the ability of FMIPA Mathematics students at Medan State University (Unimed) in solving problems of convergence and divergence of real number sequences, as well as evaluating the effectiveness of using MATLAB software in supporting understanding of these concepts. This research is based on the aim of overcoming students' difficulties in understanding the concepts of convergence and divergence. The research method used was qualitative, with a sample of 20 students selected using purposive sampling. Data was collected through written tests and observations of the use of MATLAB which were distributed via Google Form in solving questions. The results show that 55% of students are in the "very understanding" category, with MATLAB proving to be very effective in making problem solving easier and deepening understanding.
Analisis Kemampuan Pemecahan Masalah Matematis Siswa Kelas X Materi SPLDV Ditinjau dari Adversity Quotient (AQ) Sriyanti Wulandari; Ali Shodiqin; Dewi Wulandari
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.282

Abstract

Mathematics plays a crucial role in developing students' problem-solving abilities and independence. Educators need to consider the varying characteristics of students when it comes to solving problems, one of which is their adversity quotient (AQ) level. The adversity quotient relates to a student's ability to handle complex problems or to overcome challenging situations. This research aims to analyze the mathematical problem-solving abilities of Class X students in the context of Systems of Linear Equations in Two Variables (SPLDV) based on their Adversity Quotient (AQ). This qualitative, descriptive study involved selecting research subjects using an AQ questionnaire and was conducted in Class X. Data collection methods included testing, interviews, and documentation. Data analysis techniques included data reduction, data presentation, and conclusion drawing. The results indicate that subjects with the Climber type can understand problems, develop problem-solving plans, solve problems with accurate and appropriate steps, and use available information to re-check their answers. Subjects with the Camper type can understand problems, develop problem-solving plans, solve problems with accurate and appropriate steps, but often cannot use available information to re-check their answers. Subjects with the Quitter type can understand the problem and formulate a plan but struggle to solve the problem accurately and appropriately, and tend not to use available information to re-check their answers.
Optimalisasi Bank Sampah sebagai Solusi Pemberdayaan Masyarakat Kelurahan Gunung Anyar Tambak Kota Surabaya Rahmawati Rahmawati; Wirna Amalia
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.286

Abstract

The 2023 Surabaya City Waste Bank Competition, which was opened by the Mayor of Surabaya himself, included many villages that placed first, including Gunung Anyar Tambak Village. The government and local community of Gunung Anyar Tambak Village, Surabaya, have taken an ecologically conscious approach to solving the garbage issue via the garbage Bank Program. Reducing trash sent to the TPA (Final Disposal Area) and raising public awareness about the need for proper waste management are the primary goals of this campaign. Located in the Mangrove region, Gunung Anyar Tambak Village lies on the seashore. The researcher use a qualitative descriptive methodology, gathering data via interviews, documentation, and observation. Data collecting takes done at the research site. An individual's capacity to influence their own social, economic, and political circumstances is crucial to their advancement in society, and community empowerment provides that opportunity. In order to address waste issues and use available resources, the trash bank program was developed as a community and environmental empowerment initiative. An individual's capacity to influence their own social, economic, and political circumstances is crucial to their advancement in society, and community empowerment provides that opportunity. The Bintang Mangrove trash bank offers a variety of community empowerment activities, including as savings and loans, power payment, medical treatment, recycling, replanting, and environmental care.
Jaringan Saraf Tiruan Backpropagation untuk Prediksi Harga Bahan Pangan di Wilayah Kabupaten Deli Serdang Putri Dewita Sari; Faiz Ahyaningsih
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.287

Abstract

Foodstuffs are raw materials in the form of agricultural, vegetable and animal products that are used by the food processing industry to produce a food product. Food ingredients consist of plant foods and animal foods. Food is the most basic need for human resources in a country. Food prices sometimes experience erratic increases or decreases. The aim of this research is to determine the results of food price predictions in the Deli Serdang Regency area using the Backpropagation algorithm. The data used in this research is food price data from 2020 to 2023 which comes from the official National Food Ingredients website. This research uses the Backpropagation algorithm artificial neural network method which uses several architectural models and the results of this test will produce the best accuracy values. The test results show that the best architecture for research on implementing the backpropagation algorithm in predicting food prices in Deli Serdang Regency is 2-10-1 with an accuracy of 87.5% and the 2-3-8-1 architecture with an accuracy of 87.5%.
Implementasi Fast Fourier Transform dalam Penyelesaian Persamaan Difusi Panas Satu Dimensi Elsa Wisudawati Batubara; Pardomuan Sitompul
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.290

Abstract

The Fast Fourier Transform (FFT) method for solving the 1-D heat diffusion equation offers an efficient approach for resolving partial differential equations (PDEs) with various time steps . FFT is used to transform the 1-D heat diffusion equation into the frequency domain and back to the time domain through inverse FFT. Using mathematical modeling with initial and Dirichlet boundary conditions, the numerical solutions produced by FFT are compared with analytical solutions. The accuracy of the method is validated using MAE and MSE calculated in Matlab. At several time intervals , the obtained MAE and MSE values indicate a good agreement between the numerical and analytical solutions, with very small errors. Numerical stability analysis confirms the reliability of the FFT method across various The variation in time step has a significant impact on the accuracy and stability of the solution. Smaller time steps improve accuracy and stability but require longer computation times. The optimal time step selected in this study is Increasing the number of discretization points also enhances accuracy but implies an increase in computational load and memory usage. The FFT method demonstrates good numerical consistency with increasing
Penerapan Model Pembelajaran Problem Based Learning Pokok Bahasan Permutasi Untuk Meningkatkan Kemampuan Pemecahan Masalah Siswa Kelas XI TPM 2 Di SMK Negeri 1 Madiun M. Puguh Nugroho; Ika Krisdiana; Rintis Handayani
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.293

Abstract

This research aims to determine the increase in mathematical problem solving abilities in permutation material through the problem based learning (PBL) learning model. This research is classroom action research (PTK) with research subjects being students of class XI TPM 2 SMK Negeri 1 Madiun, totaling 34 students. In this research, the instruments used were problem-solving ability tests and observation sheets. In this research there are two cycles, where each cycle consists of planning, implementation, observation and reflection which follows the Lewin model procedure. In this study, the minimum learning completeness obtained was >75%. The analysis technique used in this research is descriptive qualitative which is adapted to the Hiles and Huberman technique, including data collection, data reduction, drawing conclusions and verification. The results of this research show that there is an increase in problem solving abilities using the problem based learning (PBL) learning model. This can be seen from the number of students who have achieved the very good problem solving ability category, namely 15.63% in the pre-cycle, then increasing to 25 % in cycle 1, and then increased in cycle 2, namely 53%, and in cycle 2 learning completion had reached 84.38%.

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