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Implementation Of Ethnomathematics Using the Trello Application to Increase Students’ Numeracy and Digital Literacy Kusuma, Dianne Amor; Delima, Nita; Widodo, Sri Adi; Dwipriyoko, Estiyan
IndoMath: Indonesia Mathematics Education Vol 7, No 1 (2024): February 2024
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/indomath.v7i1.86

This research is motivated by technological advances that are developing more rapidly so that it can be used to improve students’ numeracy and digital literacy. This research aimed to analyse the impact of applying Ethnomathematics using the Trello application in increasing university students' numeracy literacy and digital literacy. This research used a survey method on 56 students. The research instruments used were a numeracy literacy test in the mathematics-chemistry one course, a digital literacy questionnaire, and an interview sheet. This research shows that implementing ethnomathematics utilising the application of Trello has several advantages, including increasing university students' numeracy and digital literacy.

Penerapan Perangkat Lunak RStudio untuk Penaksiran Parameter Model Spatial Autoregressive Salsabil, Tsuroyya; Kusuma, Dianne Amor; Ruchjana, Budi Nurani
KUBIK Vol 8, No 1 (2023): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v8i1.30037

Research and analysis that are not only based on time (temporal) but also on space (spatial) require tools in the form of software to ensure that the data analysis and processing yield good, fast, and accurate results. One of the software tools that can be used for this purpose is RStudio software. The advantages of RStudio include being open-source software (OSS), which can be used freely without cost, and it has many packages and functions that can facilitate data processing. One of the spatial-based analyses is spatial data analysis. The structure within RStudio allows users to call functions related to spatial data analysis, perform computations with sparse matrices (matrices with many zero values), such as spatial weight matrices, estimation of spatial model parameters, and so on. This research examines the application of RStudio software in estimating the parameters of a first-order Spatial Autoregressive (SAR) model using the Maximum Likelihood Estimation (MLE) method on the data of the designation of Intangible Cultural Heritage (ICH) in Indonesia. Based on the results of applying RStudio software, a first-order SAR model with a Queen contiguity weight matrix for the categories of Traditional Customs, Rituals, and Celebrations (TCRC) and Performing Arts (PA) with the minimum Akaike Information Criterion (AIC) value and maximum pseudo- value was obtained for predicting the designation data of ICH in Indonesia. The application of RStudio software to the first-order SAR model for the designation data of ICH in Indonesia speeds up and simplifies calculations, making it suitable as a recommendation for relevant agencies such as the Department of Culture, Tourism, Youth, and Sports (Disbudparpora).

Penerapan Model Geographically Weighted Regression pada Data Penetapan Warisan Budaya Takbenda di Indonesia Pratomo, Firdaus Ryan; Kusuma, Dianne Amor; Ruchjana, Budi Nurani
KUBIK Vol 9, No 1 (2024): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v9i1.33492

Intangible Cultural Heritage (WBTb) determination data in Indonesia is a cultural investment that needs to be preserved. One of the efforts to preserve WBTb is to determine the cultural preservation factors that influence the WBTb determination data in Indonesia. These factors include Percentage of Population Watching Performances/Art Exhibitions (PPWP), Percentage of Population Using Regional Languages (PPURL), and Percentage of Households Using Traditional Products (PHUTP). However, the different cultural wealth in each province results in spatial heterogeneity, resulting in differences in the determination of cultural preservation factors in each province. This determination can be done with the Geographically Weighted Regression (GWR) model. This study aims to apply the GWR model with Fix Gaussian Kernel, Fix Bisquare Kernel, and Fix Tricube Kernel weighting to determine cultural preservation factors in WBTb determination data in Indonesia so that it can be known what cultural preservation factors are most influential in each region. The research findings show the existence of spatial heterogeneity only in the category of WBTb designation data for Performing Arts (PA) and Oral Expression Tradition (OET), as well as different GWR models in each province that reflect differences in cultural preservation factors. Evaluation with the coefficient of determination shows that the GWR model with the Fix Gaussian Kernel weighting function is the best model for the PA category.

What kind of Relation and Function Worksheet Based Tri-N improve Critical Thinking Skills? Widodo, Sri Adi; Wulandari, Ika; Ayuningtyas, Annis Deshinta; Pusporini, Widowati; Kusuma, Dianne Amor; Dwipriyoko, Estiyan
Kreano, Jurnal Matematika Kreatif-Inovatif Vol. 15 No. 2 (2024): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : UNNES JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/nv2dyy08

Mathematical critical thinking skills have so far shown unsatisfactory results, so media or learning resources such as worksheets are needed to complete them. In addition, concepts of scientific learning such as Niteni, Nirokke, and Nambahi activities have not provided opportunities for students to think critically. For this reason, this study aims to obtain valid and practical relations and function worksheets based on tri-n. The research stages used are defining, designing, and developing. These three stages are part of the development research with 4D. At the defining stage, data collection techniques use documentation to make the data analysis qualitative. At the design stage, data collection techniques use observation to make the data analysis qualitative descriptive. In the developing stage, the data collection technique uses a questionnaire, so the data analysis is quantitative. The results showed that the relations and function worksheets based on Tri-N had a V-Aiken index of more than 0.83, and some students responded well to this worksheet. Apart from that, the mathematics material in this Student Worksheet uses the Tri-N stages, namely Niteni, Nirokke, and Nambahi. Based on this, it can be concluded that the Tri-N-based Student Worksheet on Relations and Functions is a valid and practical result of development. For this reason, this worksheet can be used to improve students' critical thinking skills. Kemampuan berpikir kritis matematis siswa selama ini menunjukkan hasil yang belum memuaskan, sehingga dibutuhkan media atau sumber belajar sepert worksheet untuk menyelesaikannya. Selain itu, konsep pembelajaran saintifik seperti kegiatan Niteni, Nirokke, Nambahi belum memberikan kesempatan kepada siswa untuk berpikir kristis. Untuk itu penelitian ini bertujuan untuk memperoleh Lembar Kerja Siswa Relasi dan Fungsi berbasis Tri-N yang valid dan praktis. Tahapan penelitian yang digunakan adalah mendefinisi, mendesain, dan mengembangkan. Ketiga tahapan ini merupakan bagian dari penelitian pengembangan tipe 4D. pada tahap mendefinisi, Teknik pengumpulan data menggunakan dokumentasi, sehingga analisis data yang digunakan bersifat kualitatif. Pada tahap mendesain, Teknik pengumpulan data menggunakan observasi, sehingga analisis data yang digunakan bersifat kualitatif deskriptif. Tahap mengembangkan, Teknik pengumpulan data menggunakan angket, sehingga analisis data yang yang digunakan bersifat kuantitatif. Hasil penelitian diperoleh bahwa Lembar Kerja Siswa Relasi dan Fungsi memiliki indeks V Aiken lebih dari 0,83, dan sebagian siswa memberikan respon sangat baik terhadap prototipe worksheet ini. Selain itu, materi matematika yang ada pada Lembar Kerja Siswa ini menggunaan tahapan Tri-N, yaitu Niteni, Nirokke, dan Nambahi. Berdasarkan hal tersebut dapat disimpulkan bahwa Lembar Kerja Siswa Relasi dan Fungsi berbasis Tri-N hasil pengembangan yang valid dan praktis. Untuk itu dimungkinkan worksheet ini digunakan sebagai salah satu cara untuk meningkatkan kemampuan beprikir kritis siswa.

The students' mathematics self-regulated learning and mathematics anxiety based on the use of chat GPT, music, study program, and academic achievement Nita Delima; Dianne Amor Kusuma; Erick Paulus
Jurnal Infinity Vol 13 No 2 (2024): VOLUME 13, NUMBER 2, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v13i2.p349-362

In the era of society 5.0, the reach of student learning resources is increasingly wider, with the internet and free AI-based search engines. The use of music during learning is a way for students to increase learning motivation. This research aims to find out: (1) Whether ChatGPT technology and music used during independent study have an impact on students' Mathematics Self-Regulated Learning (MSRL) and Mathematics Anxiety (MA); (2) Whether MSRL and MA have an association with the study program students choose; and (3) Whether MSRL and MA have an association with students' academic achievement. This research uses a correlational descriptive research method. The data collection technique uses a survey, implementing Google Forms. The respondents of this research were students at several universities in Indonesia. The research results show a significant difference in MSRL between students who use ChatGPT and students who do not use ChatGPT during independent learning. However, there was no significant difference in MSRL between students who listened to music and those who did not listen to music during independent learning. There was no significant difference in MA between students who used ChatGPT and those who did not use ChatGPT during independent study. There was no significant difference in MA between students who listened to music and those who did not listen to music during independent study. There is a significant association between MSRL and the origin of the student's Study Program, but there is no significant association between MA and the origin of the Study Program. There is no significant association between MSRL and Academic Achievement. There is no association between MA and students' Academic Achievement.

Solving Partial Differential Equations for Wave Equation Problem on Strings by Applying the Fourier Transform Amelia; Rusyaman, Endang; Kusuma, Dianne Amor; Azril
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 04 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol23-iss04/346

The wave equation on a string is an example of a partial differential equation problem. There are several methods for finding the solution to the wave equation on a string. The solution method will differ depending on definition of the function's domain. This study aims to determine the form of solving the wave equation on the strings and the results of the analysis of the wave motion that depends on the number of boundary conditions, using a particular solution method, namely the Fourier transform method. The boundary conditions used are Dirichlet boundary conditions. The Fourier transform method is used to obtain the solution of the wave equation on the string. The Fourier transform will transform the wave equation on the string and get the solution form of the wave equation on the string by applying the inverse Fourier transform. The results of this study obtained the same form of solution for each state from the wave equation on strings, namely in the form of the D'Alembert solution for the wave equation. As well, the movement of the wave will form a periodic solution by period , with a different form of deviation occurring at each point Â for each value .

Prototipe Kendali Listrik Rumah Lewat Perintah Suara menggunakan Jaringan Nirkabel dan Mikrocontroler Kusuma, Dianne Amor; Dwipriyoko, Estiyan; Ihsan, Mohammad; Syarif, K.M.
Jurnal Tiarsie Vol 21 No 3 (2024): Jurnal TIARSIE 21.3
Publisher : Fakultas Teknik Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32816/tiarsie.v21i3.252

Pada saat ini, banyak provider yang menyediakan jaringan wifi dengan harga yang bersaing. Jaringan wifi tersebut kita manfaatkan dengan membuat sebuah alat kendali listrik rumah cerdas. Kendali ini menggunakan mikrokontroler ESP8266, jaringan nirkabel atau WIFI, dan perangkat bergerak bersistem operasi android. Perintah suara dipakai untuk menggantikan saklar konvensional pada umumnya. Penelitian ini bertujuan untuk memperlihatkan pengembangan prototipe kendali listrik dengan perintah suara. Juga perancangan antarmuka pada perangkat bergerak bersistem operasi android agar bisa berinteraksi dengan perintah suara. Metode penelitian yang digunakan adalah eksperimental dengan membandingkan kondisi awal dan kondisi rancangan yang dibuat. Metode pengembangan perangkat lunak yang digunakan adalah prototyping dengan 3 iterasi. Penelitian ini menggunakan bahasa pemrograman C untuk pemrograman microcontroler, lewat IDE Arduino. Penelitian ini juga menggunakan app inventor untuk pemrograman perangkat bergerak. Untuk platform otomatisasi rumah lewat microcontroler, digunakan sinric pro. Untuk merancang skema topologi digunakan fritzing. Prototipe ini dibuat untuk menggantikan fungsi saklar. Fungsi pengaktifan saklar ini dengan perintah suara di perangkat bergerak bersistem operasi android dan lewat jaringan nirkabel atau WIFI.

PENERAPAN METODE UNIVERSAL KRIGING (UK) UNTUK PREDIKSI KONSENTRASI PARTICULATE MATTER 2.5 (PM2.5) DI KOTA BANDUNG Putri, Salsabila Eka; Kusuma, Dianne Amor; Ruchjana, Budi Nurani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The tendency of increasing industrial and population activities in the city of Bandung causes a decrease in air quality. One material that causes air pollution which is very dangerous for health is particulate matter 2.5 (PM2.5). Efforts to control and overcome PM2.5 concentration are carried out through measurements in several locations. However, due to limitations of measuring devices and costs, so not all locations in the city of Bandung can be measured PM2.5 concentration. PM2.5 concentration data tends not to be stationary. Therefore it is necessary to interpolate the PM2.5 concentration data using the Universal Kriging method. In this paper, the Universal Kriging method can be applied to predict PM2.5 concentrations in locations that are not sampled because the observed PM2.5 concentration data are spatial data that have different PM2.5 concentrations at each location. Data were analyzed with the help of software R 3.5.3 and ArcGIS 10.4 to create contour maps. Based on the prediction results of PM2.5 concentrations at locations that were not sampled, obtained a first order trend equation is better used to predict PM2.5 concentrations because it has a minimum Universal Kriging error variance value compared to the second order trend equation. The results showed that the location with high PM2.5 concentration was in the northwest of Bandung City. Contour maps show locations that have low to high PM2.5 concentrations

Forecasting the Rupiah Exchange Rate Influenced by Several Factors Using the Improve Grey Model (1,3) Pratiwi, Dian Meilin; Firdaniza, Firdaniza; Kusuma, Dianne Amor
Jambura Journal of Mathematics Vol 7, No 1: February 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i1.27954

The rupiah exchange rate is one of the important indicators of a country's economic stability, but the rupiah exchange rate often fluctuates following the factors that influence it. Forecasting the rupiah exchange rate is very important for economic planning, it helps the government make monetary policy decisions to maintain the stability of the rupiah exchange rate. Common methods used to forecast the rupiah exchange rate are ARIMA, FTS Markov Chain, and exponential smoothing. These methods are widely used to show the relationship between variables, but these methods have the disadvantage that they must meet the assumptions of data patterns. The contribution of this research is the use of the improve Grey model (1,3) predict the rupiah exchange rate in 2024, which is influenced by inflation and the balance of payments. The improve Grey model (1,3) was chosen because it does not require data distribution assumptions and can consider several external factors, thus providing more specific results for certain fields. The improve Grey model (1,3) uses the Grey model (1,1) to calculate the parameter values of the independent variables in the calculation of the improve Grey model (1,3) whitening equation. The calculation of the improve Grey model (1,3) whitening equation is calculated using a first-order ordinary differential equation. The use of the improve Grey (1,3) model for forecasting the rupiah exchange rate is considered accurate based on the Mean Absolute Percentage Error (MAPE) value. The rupiah exchange rate influenced by inflation and the balance of payments using the improve Grey model (1,3) for 2024 is predicted to increase from the previous year to Rp. 18.076, which indicates a weakening in value. This weakening has a positive impact on the balance of payments and a negative impact on inflation.

The students' mathematics self-regulated learning and mathematics anxiety based on the use of chat GPT, music, study program, and academic achievement Delima, Nita; Kusuma, Dianne Amor; Paulus, Erick
Jurnal Infinity Vol 13 No 2 (2024): VOLUME 13, NUMBER 2, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v13i2.p349-362

In the era of society 5.0, the reach of student learning resources is increasingly wider, with the internet and free AI-based search engines. The use of music during learning is a way for students to increase learning motivation. This research aims to find out: (1) Whether ChatGPT technology and music used during independent study have an impact on students' Mathematics Self-Regulated Learning (MSRL) and Mathematics Anxiety (MA); (2) Whether MSRL and MA have an association with the study program students choose; and (3) Whether MSRL and MA have an association with students' academic achievement. This research uses a correlational descriptive research method. The data collection technique uses a survey, implementing Google Forms. The respondents of this research were students at several universities in Indonesia. The research results show a significant difference in MSRL between students who use ChatGPT and students who do not use ChatGPT during independent learning. However, there was no significant difference in MSRL between students who listened to music and those who did not listen to music during independent learning. There was no significant difference in MA between students who used ChatGPT and those who did not use ChatGPT during independent study. There was no significant difference in MA between students who listened to music and those who did not listen to music during independent study. There is a significant association between MSRL and the origin of the student's Study Program, but there is no significant association between MA and the origin of the Study Program. There is no significant association between MSRL and Academic Achievement. There is no association between MA and students' Academic Achievement.

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