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Creating a diagnostic test to assess conceptual understanding of fraction operations Juwita, Dia Prima; T, Ahmad Yani; Yundari, Yundari
Al-Jabar: Jurnal Pendidikan Matematika Vol 15 No 2 (2024): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v15i2.22680

Abstract

Background: Fraction operations are fundamental in mathematics education, yet many students face challenges in mastering these concepts. Effective assessment tools are crucial for identifying areas of difficulty and guiding instructional improvements.Aim: This study aims to develop a diagnostic test to accurately measure the conceptual understanding of fraction operations among students in the Elementary School Teacher Education Program (PGSD) at STKIP Melawi.Method: Utilizing a research and development approach with mixed methods, this study follows Ebel's Model of Test Development. The process includes item selection, validation, and reliability testing, involving both qualitative and quantitative analyses.Results: The developed diagnostic test demonstrated strong validity and reliability metrics. Analysis revealed that students commonly struggle with both the conceptual and procedural aspects of fraction operations. Frequent errors were noted in the interpretation and execution of solution steps. No student achieved the highest possible score, indicating significant gaps in understanding. The N-Gain analysis showed an average score of 0.5610, suggesting medium to high effectiveness in identifying learning challenges, with individual scores ranging from 0.32 to 0.93.Conclusion: The diagnostic test developed in this study provides a robust tool for assessing the conceptual understanding of fraction operations. It highlights specific areas where students encounter difficulties, offering valuable insights for targeted instructional strategies. Integrating this diagnostic test into the curriculum can enhance the ability to diagnose and address learning obstacles, ultimately improving mathematics education outcomes.
Enhancing senior high school students' visual imagery creativity in geometry through Geoboard Hengki, Marius; Jamiah, Yulis; Yundari, Yundari
Indonesian Journal of Science and Mathematics Education Vol. 7 No. 2 (2024): Indonesian Journal of Science and Mathematics Education
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijsme.v7i2.22624

Abstract

This study examines innovative learning tools to enhance students' understanding of geometry subjects. The research aims to describe the use of Geoboards in fostering the visual imagery creativity of 12th-grade students in geometry learning. The method used is descriptive qualitative, with subjects consisting of six students selected through purposive sampling. The results show that students with high visual imagery creativity possess good abilities in fluency, diversity, originality, and detail aspects. Students with moderate creativity still require guidance, while students with low creativity experience difficulties and need intensive practice. Using Geoboards has proven effective in enhancing visual imagery creativity, making learning more interesting and meaningful, and facilitating understanding of three-dimensional geometric concepts. The implications of this research suggest that Geoboards can be an effective learning tool in mathematics education.
PENERAPAN METODE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) PADA KASUS KEMISKINAN DI INDONESIA Martha, Shantika; Yundari, Yundari; Rizki, Setyo Wira; Tamtama, Ray
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.215 KB) | DOI: 10.30598/barekengvol15iss2pp241-248

Abstract

To analyze the factor affecting poverty during several periods by considering some geographical factors, we can use a geographically weighted panel regression (GWPR) method. GWPR is a combination of the geographically weighted regression (GWR) model and the panel regression model. The research conducts to identify the factors affecting the percentage of poor people in 34 provinces in Indonesia during 2015-2019. The results show that a suitable GWPR model is a fixed-effect model (FEM) with an exponential adaptive kernel function. Referring to the model, the province is divided into four groups based on variables having a significant effect on the percentage of poor people. That factors causing the poor people percentage in Indonesia are the poor people percentage aged above 15 years old and unemployment, the people percentage aged above 15 years old and employed in the agricultural sector, the literacy rate of the poor aged between 15 to 55 years old, and the life expectancy rate. Keywords: fixed effect model, exponential adaptive kernel.
ANALYSIS OF THE VACCINATION'S IMPACT ON THE INCREASE IN COVID-19’S DAILY NEW AND RECOVERED CASES USING THE VECTOR AUTOREGRESSIVE (VAR) MODEL (CASE STUDY: WEST KALIMANTAN) Yundari, Yundari; Huda, Nur'ainul Miftahul
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.663 KB) | DOI: 10.30598/barekengvol16iss3pp761-770

Abstract

One of the efforts to suppress the increasing number of COVID-19 cases is the government's provision of a COVID-19 vaccine. This study examines the effect of the number of people who have been vaccinated, the first dose of vaccine, on the addition of new cases and cured cases. The three variables were analysed simultaneously using the help of the Vector Autoregressive (VAR) model. The data is on the number of new, recovered cases and people vaccinated per day from January 13 to December 30, 2021, in West Kalimantan Province. The main steps in this study are order identification, parameter estimation, and interpretation of the results. In this study, the order selection of the VAR model is limited to a maximum of the fourth order. Parameter estimation uses the Ordinary Least Square (OLS) method from several possible orders. Furthermore, the model selection is based on the smallest AIC and BIC values. The result is that the second-order VAR model has the smallest AIC and BIC values, so this model is said to be the best model. The interpretation of the equation obtained is that 74.1% of the factors adding new cases, the number of people being vaccinated, and the addition of cured cases at one and two last times affect the addition of new cases on that day. Meanwhile, the addition of new cases today was only influenced by 42.2% by new cases, the number of people being vaccinated, and the addition of recovered cases in the previous one and two days.
MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL Huda, Nur'ainul Miftahul; Fran, Fransiskus; Yundari, Yundari; Fikadila, Lisa; Safitri, Fauziah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.366 KB) | DOI: 10.30598/barekengvol17iss1pp0263-0274

Abstract

The Generalized Space-Time Autoregressive (GSTAR) model is able to utilize modeling of both space and time simultaneously. The existence of a weight matrix is one of the aspects that established this model. The matrix illustrates the spatial impact that occurs between locations. In this research, a modified weight matrix is presented using the Minimum Spanning Tree approach of graph theory. Prim's algorithm is utilized for calculation here. Not only does the modified weight matrix depend distance, but also highlights the correlation. It makes the modified weight matrix unique. Before starting Prim's algorithm, the correlation is first utilized as an input in forming the initial graph. Following that, find the graph with the least of MST weight. Afterwards, the graph is described utilizing weight matrix, which is applied to the normalization process. Following this, the GSTAR(1;1) modelling process is carried out, beginning with estimating the parameters and then forecasting. The case study is Covid-19 cases that occurred on Java Island between July 2020 (when early Covid-19 entered Indonesia) and the beginning of January 2021. The aim of the research is to model the Covid-19 cases using modified weights and to predict the following five times. The outcome is a GSTAR(1;1) model with modified weights can captures both temporal and spatial patterns. The accuracy of the model is achieved for both the training data and the testing data by the MAPE computations, which yielded of 11.40% and 21.57%, respectively. Predictions are also obtained for each province in the next five times.
A COMPLETION THEOREM FOR COMPLEX VALUED S-METRIC SPACE Kiftiah, Mariatul; Yundari, Yundari; Suryani, Suryani; Lauren, Nover
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2747-2756

Abstract

Any complex valued S-metric space where each Cauchy sequence converges to a point in this space is said to be complete. However, there are complex valued S-metric spaces that are incomplete but can be completed. A completion of a complex valued S-metric space ( is defined as a complete complex valued S-metric space with an isometry such that is dense in In this paper, we prove the existence of a completion for a complex valued S-metric space. The completion is constructed using the quotient space of Cauchy sequence equivalence classes within a complex valued S-metric space. This construction ensures that the new space preserves the essential properties of the original S-metric space while being completeness. Furthermore, isometry and denseness are redefined regarding a complex valued S-metric space, generalizing those established in a complex valued metric space. In addition, an example is also presented to illustrate the concept, demonstrating how to find a unique completion of a complex valued S-metric space.
DEVELOPMENT OF INSTRUCTIONAL MATERIALS TO IMPROVE SKILLS IN OPERATING INTEGERS USING THE ARTICULATE STORYLINE APPLICATION Arizal, Arizal; Suratman, Dede; Yundari, Yundari; Rif'at, Mohammad; Hamdani, Hamdani
Jurnal Pendidikan Matematika dan IPA Vol 16, No 3 (2025): September 2025
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jpmipa.v16i3.84206

Abstract

This study was conducted to address the low level of students' skills in performing operations with integers. This issue arose because, since the Covid-19 pandemic, many elementary school students have experienced learning loss, which has impacted their learning processes upon entering secondary school. Therefore, to optimize classroom learning time, students were also provided with opportunities for independent learning using interactive instructional materials. This study employed a quantitative development method using the ADDIE model and involved 50 seventh-grade students from SMPN 1 Lembah Bawang and SMPN 3 Lembah Bawang. Data collection techniques included tests and interviews using questionnaires. The collected data were analyzed by comparing pre-test and post-test results, as well as calculating effect size to determine the extent of influence after using the instructional materials. The study resulted in the development of instructional materials validated by experts and shown to improve students' skills in integer operations. After using the developed materials, more than 50% of students demonstrated high proficiency in operating integers, compared to 66% who had low proficiency beforehand. The resulting effect sizes after using the instructional materials were categorized as medium (d = 0.7) and high (d = 1.0). It can thus be concluded that the developed instructional materials effectively enhance students’ skills in performing integer operations and are suitable for production and use in secondary schools.
Co-Authors Adam Asyrad Ahmad Yani T Alexander Ananda, Adelia Ariani, Prisilia Arizal, Arizal Ayu Lestari Ayu Sri Utami Bambang Poniman Barita Riana Sitours Bayu Prihandono Brella Glysentia Vilgalita Dea Rizki Darmawanti Dede Suratman Deni Winda Sari Desi Desi Ditanti Putri Shofia Eligia Helvianti Tri Lina P Elishabet Yohana Enis Rahayu Erlando Erlando Ervina Febyolga Evangelista, Gitta Evi Novian Evi Noviani Evi Noviani Evy Sulistianingsih Fansiskus Fran Ferry Adrian Fikadila, Lisa Firhan Januardi Firmansyah, Dimas Fran, Fransiskus Fransiskus Fran Fransiskus Fran Hamdani Hamdani Hanssen, Calvin Helmi Helmi Helmi Helmi Helmi Helmi Helmi Hendra Perdana Hengki, Marius Henny Priandini Amalia Huda, Nur'ainul Miftahul Huda, Nur’ainul Miftahul Ikbal Muhaimin Intan Luthfiani Fajria Julianus Takuan Juwita, Dia Prima Laksono Trisnantoro Lauren, Nover Laurens Paskhia Dirda Rusanditia Lina Astuti Mariatul Kiftiah Martha, Shantika Meisita, Cheril Meliana Pasaribu Melinda Mareta Sari Mohamad Rif'at Mudinillah, Adam Muhammad Ilyas Mujiarti, Eka May Muslimah (F54210032) Nadia Putri Kurniawati Neno Juli Triami Neva Satyahadewi Nilamsari Kusumastuti Ningrum, Runi Aisyah Diyah Novia Kristefany Kabang NURFITRI IMRO’AH Nurfitri Im’roah Nurliantika, Nurliantika NUR’AINUL MIFTAHUL HUDA Pranata Anggi Putra, Fajar Rahmana Putri Romanda Rachmawati, Febby Ramadhan, Rahul Rif'at, Mohammad Riski Apriadi Rivaldi, Syahrul Rizki, Setyo Wira Rohit Rifatullah Ryan Jonathan Safitri, Fauziah Sasqia Aklysta Antaristi Setyo Wira Rizki Setyo Wira Rizki Shantika Martha Shantika Martha Silvy Heriyanti Siti Aprizkiyandari, Nurul Qomariyah, Shantika Martha, Suryani Suryani Tamtama, Ray Udjianna Sekteria Pasaribu Urfila Dian Puspita Utriweni Mukhaiyar Venti, Monalisa Wele, Bruno Sala Winanda Epriyanti Yudhi Yulis Jamiah Yuni Chintya Zada Almira Zubaidah Zubaidah