UMMAT Scientific Journals (Universitas Muhammadiyah Mataram)
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Digital Technology in Midwifery Education and Training: Advancing Competences and Clinical Practices
Get PDFMicroteaching practices and educational field experiences have long been part of the professional training of teachers. Both are requirements that must be taken by prospective teachers to become skilled and professional teachers. This study aims to describe the effect of microteaching practices and educational field experiences on the professionalism of prospective teachers. A quantitative approach with the correlational method was used to analyze the data obtained from 178 teacher candidates who took part in the practice of microteaching and carried out 6 months of educational field experience. The instrument used to collect data is a questionnaire. The results of the data analysis show that the microteaching practice and educational field experiences affect the professionalism of prospective teachers. However, educational field experiences have a more dominant influence than the practice of microteaching. Educational field experience directly shapes the character of prospective teachers to become professional educators because they are faced with real experience in the field. Meanwhile, the practice of microteaching occurs in a limited space so the teaching experience gained by prospective teachers is also limited. More effective management of microteaching practices needs to be a concern because through microteaching prospective teachers theoretically and practically gain knowledge about basic teaching skills and skills in compiling learning tools. The knowledge gained during the practice of microteaching is used by prospective teachers while carrying out educational field experiences
Penggunaan Information Retrieval untuk Mendeteksi Kesamaan Judul Skripsi dengan Modified Cosine Similarity
Get PDFAbstract: This research develops a web-based system to detect the similarity of thesis titles using the Modified Cosine Similarity method and TF-IDF weighting. This system helps students in evaluating the similarity of titles automatically, so as to avoid plagiarism and increase the originality of research. The process used includes text preprocessing (case folding, tokenizing, stopword removal, stemming), TF-IDF calculation for word weighting, and the use of Modified Cosine Similarity to measure the level of similarity between titles. The test results show that the system is able to identify the similarity of titles with a 100% recall rate, where titles with >70% similarity need to be revised, 31%-70% similarity can be clarified by adding words, and ≤30% similarity is potentially accepted as an original title. With this implementation, it is expected that students can more easily determine a thesis title that is unique and in accordance with academic standards.Abstrak: Penelitian ini mengembangkan sistem berbasis web untuk mendeteksi kemiripan judul skripsi menggunakan metode Modified Cosine Similarity dan pembobotan TF-IDF. Sistem ini membantu mahasiswa dalam mengevaluasi kemiripan judul secara otomatis, sehingga dapat menghindari plagiarisme dan meningkatkan orisinalitas penelitian. Proses yang digunakan meliputi text preprocessing (case folding, tokenizing, stopword removal, stemming), perhitungan TF-IDF untuk pembobotan kata, dan penggunaan Modified Cosine Similarity untuk mengukur tingkat kemiripan antar judul. Hasil pengujian menunjukkan bahwa sistem mampu mengidentifikasi kemiripan judul dengan tingkat recall 100%, di mana judul dengan kemiripan >70% perlu direvisi, kemiripan 31%-70% dapat diperjelas dengan penambahan kata, dan kemiripan ≤30% berpotensi diterima sebagai judul orisinil. Dengan implementasi ini, diharapkan mahasiswa dapat lebih mudah menentukan judul skripsi yang unik dan sesuai dengan standar akademik
Penerapan Model Vector Autoregressive (VAR) Untuk Peramalan Produksi Kakao di Provinsi Sulawesi Tengah
Get PDFAbstract: Cocoa is one of the main commodities in Indonesia that ranks third in the world as the largest cocoa exporting country, with production fluctuating each year. Therefore, this research aims to predict cocoa production in Central Sulawesi province considering the impact of rainfall using the VAR method. This study uses secondary data in the form of monthly data on cocoa production and rainfall from January 2020 to December 2023, obtained from the Central Statistics Agency (BPS). The stages of the VAR method begin with stationarity testing using the ADF Test, optimal lag selection using AIC, stability testing of characteristic roots, Granger causality testing, and forecasting. The results of the study obtained the best model is VAR(4) with a forecasting error rate of MAE of 8.84938, and the forecast for cocoa production in 2024 shows a relatively stable pattern with an average forecast value of 11.387 thousand tons. The coefficient of determination value of 41.64% indicates that the VAR(4) model has a fairly good fit.Abstrak: Kakao adalah salah satu komoditas utama di Indonesia yang menduduki peringkat ketiga di dunia sebagai negara pengekspor kakao terbesar, yang produksinya mengalami fluktuasi setiap tahun. Oleh karena itu, penelitian ini bertujuan untuk memprediksi hasil produksi kakao di provinsi Sulawesi Tengah dengan mempertimbangkan pengaruh dari curah hujan menggunakan metode VAR. Penelitian ini menggunakan data sekunder berupa data bulanan mengenai jumlah produksi kakao dan curah hujan dari Januari 2020 hingga Desember 2023, yang diperoleh dari Badan Pusat Statistik (BPS). Tahapan metode VAR yaitu dimulai dari pengujian stasioneritas dengan menggunakan ADF Test, pemilihan lag optimal dengan menggunakan AIC, pengujian stabilitas akar karakteristik, pengujian kausalitas Granger, dan peramalan. Dari hasil penelitian diperoleh model terbaik adalah VAR(4) dengan Tingkat kesalahan peramalan MAE sebesar 8.84938 dan hasil peramalan produksi kakao tahun 2024 menunjukkan pola yang relatif stabil dengan nilai rata-rata peramalan sebesar 11.387 ribu ton. Nilai koefisien determinasi sebesar 41,64% menunjukkan bahwa model VAR(4) memiliki tingkat kecocokan yang cukup baik
Ethnomathematics in Improving Students' Concept Understanding: A Meta-Analysis
Get PDFAbstrak: Pembelajaran matematika dengan konsep budaya lokal atau yang disebut dengan etnomatematika merupakan suatu strategi untuk mengajarkan siswa dalam pembelajaran matematika yang selama ini dianggap menakutkan. Etnomatematik artinya studi matematika yang mempertimbangkan budaya dimana matematika timbul dan merupakan pendekatan yang digunakan untuk mengungkapkan korelasi antara budaya lingkungan dan matematika. Penelitian ini bertujuan untuk mengetahui peningkatan pemahaman konsep matematika siswa dengan pembelajaran berbasis etnomatematika. Metode dalam penelitian ini menggunakan meta-analisis. Data dianalisis menggunakan perangkat lunak JASP dengan inputan nilai Effect Size (ES) dan Standard Error (SE). Hasil penelitian menunjukkan bahwa 38 data yang memenuhi keriteria diperoleh peningkatan sebesar 53%. Pada jenjang SD dengan data sebanyak (N) 13 ditemukan pemahaman konsep siswa mengalami peningkatan sebesar 29%, pada jenjang SMP dengan data sebanyak (N) 18 ditemukan pemahaman konsep siswa mengalami peningkatan sebesar 0.41 atau 41%, dan pada jenjang SMP dengan data sebanyak (N) 9 ditemukan peningkatan sebesar 0.25 atau 25%. Berdasarkan data yang diperoleh bahwa pembelajaran berbasis etnomatematika dalam meningkatkan pemahaman konsep belajar siswa lebih berpengaruh pada jenjang SMP yaitu sebesar 41%.Abstract: Learning mathematics with the concept of local culture or what is called ethnomathematics is a strategy to teach students in learning mathematics which has been considered scary. Ethnomathematics means the study of mathematics that considers the culture in which mathematics arises and is an approach used to reveal the correlation between environmental culture and mathematics. This study aims to determine the improvement of students' understanding of mathematical concepts with ethnomathematics-based learning. The method in this study uses meta-analysis. Data were analyzed using JASP software with the input of Effect Size (ES) and Standard Error (SE) values. The results showed that 38 data that met the criteria obtained an increase of 53%. At the elementary level with data as much as (N) 13, it was found that students' concept understanding had increased by 29%, at the junior high school level with data as much as (N) 18, it was found that students' concept understanding had increased by 0.41 or 41%, and at the junior high school level with data as much as (N) 9, an increase of 0.25 or 25% was found. Based on the data obtained, ethnomathematics-based learning in improving students' understanding of learning concepts is more influential at the junior high school level, namely 41%
Development of Android-based Solar System Interactive Learning Application Using Augmented Reality with Unity and Blender
Get PDFAbstract: This research aims to develop Augmented Reality (AR) based applications to support interactive solar system learning. In the era of rapid technological development, learning can be enhanced through 3D illustrations that are more interesting and immersive for students. AR is one of the technologies that can be applied in the development of educational applications, allowing visualization of the solar system in three-dimensional form. The methodology used in this research is Multimedia Development Life Cycle (MDLC). This AR development was developed using Blender and Unity Game Engine software. Blender is used to create 3D models of solar system objects such as planets, sun, and satellites. Meanwhile, Unity Game Engine is used to integrate the object model into Android-based applications and add interactive elements based on Augmented Reality. The result of this research is an AR-based interactive application that serves as an innovative learning media. The results showed that: (1) AR-based Android applications can be used flexibly anytime and anywhere, and are equipped with animations, 3D, and 2D images to enhance the learning experience; (2) The developed product has been validated and declared suitable for testing. With this application, it is hoped that students can find it easier and more enjoyable to learn about the solar system through interactive 3D visualization.
Application of Innovative Learning Models to Foster Entrepreneurial Mindset of Elementary School Students
Get PDFAbstract: The entrepreneurial mindset of elementary school students can be grown with an integrated process, one of which is through an innovative learning model that can trigger and optimize students' entrepreneurial mindset. This paper discusses how innovative learning models can be used to foster the entrepreneurial mindset of elementary school students. This learning model involves a process that not only focuses on theory but also practice and hands-on experience that can improve students' entrepreneurial skills and mentality. The learning models discussed in this article are problem-based learning, project-based learning and experiential learning. The learning models applied in entrepreneurship education should be able to accommodate the development of soft skills in shaping the entrepreneurial spirit, such as leadership skills, communication skills, creativity, and management skills through supportive learning approaches such as deep learning and STEAM. The article also identifies some issues faced in the implementation of the learning model, such as the lack of adequate infrastructure support, fewer resources, and appropriate learning approaches, as well as support from various stakeholders, such as local government and different schools. In conclusion, the implementation of innovative learning models with the right approach is able to support student learning in developing entrepreneurial mindset capabilities. Thus, the use of structured innovative learning models can influence the entrepreneurial mindset of primary school students
Comparative Analysis of Newton Midpoint Halley and Olver Methods for Solving the Roots of Nonlinear Equations
Get PDFAbstract: This study compares the Newton Midpoint Halley (NMH) method and the Olver Method in numerically solving the roots of non-linear equations. The main objective of this study is to evaluate the efficiency and convergence speed of both methods. Results show that the Newton Midpoint Halley method is superior in convergence, with a faster quadratic convergence rate and fewer iterations to achieve a certain accuracy than the Olver method. Although Olver's method is effective, NMH is able to achieve solutions with small errors in fewer iterations. In addition, the NMH method has a simpler and more intuitive algorithm, making it easier to implement in math teaching, especially for math education students. Although the Olver method offers higher accuracy, in terms of efficiency and ease of implementation, the Newton Midpoint Halley method is more recommended. Knowledge of both methods is important for students and can be applied in teaching and further applied mathematics research.
The Influence of Leadership Strategies on Teacher Professionalism in Modern Islamic Boarding Schools
Get PDFAbstract: Modern pesantren as Islamic educational institutions face great challenges in maintaining relevance and quality in the midst of global change. This research aims to systematically understand how various leadership strategies can improve teacher professionalism in modern pesantren. In the context of globalization and the Industrial Revolution 4.0, Islamic education plays an important role in maintaining Islamic values while answering the challenges of the times through the integration of traditional values and the use of technology. Teacher professionalism is one of the key elements in realizing quality education, especially in a modern pesantren environment which is required to be adaptive and progressive. This research uses a qualitative approach with the Systematic Literature Review (SLR) method, reviewing various scientific literature published between 2015 and 2024 and sourced from trusted databases such as Dimensions and Scopus. The results show that transformational, collaborative and Islamic values-based leadership strategies have a significant impact on improving teacher professionalism, both in terms of pedagogical competence, work commitment and learning innovation. In addition, the involvement of the pesantren head as a visionary leader and facilitator also determines the success of human resource development in Islamic educational institutions. This research makes an important contribution to strengthening leadership practices in modern pesantren to encourage sustainable teacher professionalism
Numerical Simulation to Find Root Solution of Nonlinear Equation with Hybrid and Laguerre Method
Get PDFAbstract: Non-linear equations are a form of mathematical problem that is often found in various fields of science, such as engineering, physics, and computers. The solution cannot always be done analytically, so the numerical approach becomes a commonly used solution. This research discusses and compares two numerical methods, namely the Hybrid method and the Laguerre method, in numerically finding the roots of non-linear equations using Matlab software. The Hybrid method combines the advantages of two methods, such as Newton-Raphson and bisection, to improve convergence speed and stability. Meanwhile, the Laguerre method is known to be efficient in solving high degree polynomial equations. The assessment is based on three main aspects: convergence speed, stability, and computational efficiency. Simulation results on various types of functions - polynomial, exponential, trigonometric, and logarithmic-show that the Hybrid method tends to have shorter computation time in some cases, while the Laguerre method shows stable performance in most trials. This study concludes that both methods have their own advantages depending on the characteristics of the function being solved. Therefore, the results of this study can be an important reference for the selection of appropriate numerical methods in the application of solving non-linear equations effectively and accurately
The Influence of Constructive Feedback on Students’ Academic Self-Efficacy
Get PDFAbstrak: In this study, the impact of constructive criticism on students' academic self-efficacy was assessed using a quantitative approach, and signs of constructive criticism that influence students' academic self-efficacy were identified. 95 students at SMA Negeri 8 Medan were involved in the correlational survey. The regression analysis results indicate that constructive feedback significantly influences academic self-efficacy, with an R Square value of 0.641, signifying that 64.1% of the variability in academic self-efficacy can be explained by constructive feedback. Among the indicators of constructive feedback, feedback specificity and communication clarity have the most significant influence on academic self-efficacy, with B values of 0.891 (p = 0.029) and 1.450 (p = 0.001), respectively. This study found that students' academic self-efficacy can be improved through clear and detailed constructive feedback. As a result, students' academic performance can be improved