cover
Contact Name
Yudi Yunika Putra
Contact Email
inomatika@unmuhbabel.ac.id
Phone
+6281279499449
Journal Mail Official
inomatika@unmuhbabel.ac.id
Editorial Address
Jalan K.H. Ahmad Dahlan KM 4 Rt.03 No.51 Ds. Mangkol, Kecamatan Pangkalanbaru Kabupaten Bangka Tengah Provinsi Kepulauan Bangka Belitung
Location
Kab. bangka tengah,
Kepulauan bangka belitung
INDONESIA
Inovasi Matematika (Inomatika)
ISSN : 26567431     EISSN : 26567245     DOI : https://doi.org/10.35438/inomatika
Core Subject : Education,
Jurnal Inovasi Matematika (INOMATIKA) merupakan jurnal Elektronik berisi hasil penelitian pada bidang matematika dan pendidikan matematika. Cakupan dan Ruang Lingkup Materi, meliputi: (1) Kurikulum Pendidikan Matematika, (2) Metode/Strategi Pendidikan Matematika, (3) Media Pembelajaran Matematika, (3) Pembelajaran Matematika Berbasis IT, (4) Soal PISA, (5) Penelitian Pengembangan, (6) Lesson Study pembelajaran matematika, (7) Realistik Mathematics Education, dan (8) Topik Lain yang Terkait dengan bidang matematika dan Pendidikan Matematika.
Articles 106 Documents
Analysis of Students' Error In Solving Probability Problem: A Case Study In Guangxi Huang, Yuxian; Ying Zhou; Yong Li
Jurnal Inovasi Matematika Vol 3 No 1 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (829.623 KB) | DOI: 10.35438/inomatika.v3i1.238

Abstract

This research analyzes the types and reasons of students' mistakes in solving probability and the analysis statistics problems by qualitative research method. The subjects were 20 senior High school students from a senior high school in Guangxi, China. The data were collected through the student diagnostic test. The students' answers were analyzed by using O'Connel's analysis. The results show that the proportion of misunderstood problems is 48.18% at the largest proportion, and the proportion of computational errors is next, accounting for 36.36%. The proportion of procedural errors is the least, accounting for 15.45%. As we all know, there are many reasons for the above mistakes., so teachers can find some solutions to overcome these mistakes.
Pendekatan Realistic Mathematics Education Pada Materi Bentuk Aljabar Moh Syukron Maftuh; Via Yustitia
Jurnal Inovasi Matematika Vol 3 No 1 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.217 KB) | DOI: 10.35438/inomatika.v3i1.239

Abstract

Realistic Mathematics Education (RME) is a learning approach that links mathematics with real-world contexts, making it easier for students to solve mathematical problems. This study aimed to describe student activities, learning outcomes, and student responses by implementing RME in junior high school students. The method used was descriptive quantitative. This research was conducted in class VII SMPN 1 Wonoayu, Sidoarjo. The method used was the method of observation, tests, and questionnaires. Instruments in the form of student activity observation sheets, learning outcomes tests, and response questionnaires. The observations showed that the student activity was in a suitable category, reaching 79.46%. The percentage of classical completeness of learning outcomes through the implementation of RME was 84.37%, so it was classically good. Student responses obtained positive results with a percentage of 91.01% classically, so it was categorized as very positive.
Facilitating Students’ Multiple Intelligences through RME: A Learning Trajectory of Volume and Surface Area Measurement Ahmad Wachidul Kohar; Achmad Dhany Fachruddin; Soffil Widadah
Jurnal Inovasi Matematika Vol 3 No 1 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1011.011 KB) | DOI: 10.35438/inomatika.v3i1.248

Abstract

This is a design research which aims to describe the learning trajectory of volume and surface area of rectangular prism by considering the involvement of the multiple intelligences-based activities within the realistic mathematics education (RME) learning activity. A total of 39 students of grade five at an elementary school in Sidoarjo, Indonesia were involved in teaching experiment phase. By collecting data through documentation, interviews, and classroom observations, the Hypothetical Learning Trajectory which was developed in pilot experiment was then revised to get a revised learning trajectory reported in this paper. Such a revised learning trajectory are the learning activities around drawing the nets of cube and cuboids through rolling activity, comparing surface are and volume of two models with different sizes, finding surface area using the constructed nets, building miniature buildings using cube unit model, predicting the number cube units in a box, constructing various models of cuboids to various sizes using particular number of cube units, rearranging a number of cube units arrangements with different layers to get different volume and surface area, and comparing the volumes of two rectangular prism made from the same rectangular model of paper. Lastly, at the ‘formal level’ students developed their informal knowledge into formal concepts of volume and surface area of rectangular prism, which in this case is cuboid and cube.
Kesalahan Peserta Didik Menyelesaikan Soal Cerita Pada Materi Matriks Berdasarkan Kriteria Watson Mulia Suryani; Lucky Heriyanti Jufri; Firdaus
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.696 KB) | DOI: 10.35438/inomatika.v3i2.253

Abstract

This study aimed to describe the errors made by students in working on math story problems on the subject of the matrix based on Watson's error criteria. This type of research was descriptive research with quantitative methods. This study's data collection techniques used the method of tests, interviews, and documentation, while the subjects in this study were 35 people. The test was carried out only once with many questions of 4 story questions. Then the data obtained were analyzed by data triangulation techniques. This study indicated that most errors made by students were incorrect data errors (inappropriate data / ID) with an error percentage of 20.39%. In comparison, the minor errors made by students were omitted data (OD) errors with an error percentage of 2.63%. For the omitted conclusion (OC) error, response level conflict (RLC), indirect manipulation (UM), skill hierarchy problem (SHP), and in addition to the seven errors (others/ O) with an error percentage range of 10%≤ P<25% and for inappropriate procedure errors (IP) with an error percentage range of P <10%. The causes of errors were lack of accuracy in reading and solving problems, errors in performing calculations, errors in using formulas, and lack of understanding of the material.
Window Shopping Assisted by Geoenzo to Increase Students’ Conceptual Understanding in Mathematics to Learning Interest Fredi Ganda Putra; Dyan Revianto; Rizki Wahyu Yunian Putra; Santi Widyawati
Jurnal Inovasi Matematika Vol 3 No 1 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (795.771 KB) | DOI: 10.35438/inomatika.v3i1.254

Abstract

Tujuan penelitian ini adalah untuk mengetahui: 1) pengaruh model pembelajaran Windows Shopping berbantuan Geoenzo terhadap kemampuan konsep matematis; 2) pengaruh minat belajar terhadap kemampuan konsep matematis; dan 3) interaksi antara h model pembelajaran Windows Shopping berbantuan Geoenzo dengan minat belajar terhadap kemampuan konsep matematis. Jenis penelitian yang digunakan untuk mencapai tujuan penelitian adalah eksperimen semu. Teknik pengumpulan data yang digunakan adalah tes, dokumentasi dan angket (kuisioner), yang selanjutnya akan di uji menggunakan uji analysis of varians (anova). Hasil penelitian menunjukkan bahwa: 1) terdapat pengaruh antara model Windows Shopping terhadap kemampuan pemahaman konsep matematis; 2) Kategori minat belajar (tinggi, sedang, rendah) peserta didik tidak berpengaruh terhadap kemampuan pemahaman konsep matematisnya; 3) tidak ditemukan interaksi antara model pembelajara Windows Shopping berbantuan software geoenzo dengan minat belajar terhadap kemampuan pemahaman konsep matematis peserta didik.
Pengaruh Aktivitas Organisasi dan Intensitas Belajar Mahasiswa Pendidikan Matematika Terhadap Prestasi Belajar Suningsih, Ari; Imam Nurohim; Windi Ria Astuti
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.688 KB) | DOI: 10.35438/inomatika.v3i2.255

Abstract

The study aimed to determine the effect of participating in the exact student association organization (HIMEKS) and the intensity of learning on student achievement in mathematics education at FKIP-UMPRI. The activity in question was the involvement and an essential role in the organization's activities to foster and develop talents and increase student motivation. The intensity of learning included motivation, time or duration, discipline, concentration, frequency, activity, and presentation. This type of research used ex post facto with a quantitative approach. The population was all students of mathematics education FKIP-UMPRI. The research sample was Himeks administrators who were taken using a purposive sampling technique, totaling 43 people. Data collection through the distribution of questionnaires and documentation. The data analysis technique used simple regression analysis technique and multiple regression analysis. The results of data analysis: (1) there was an effect of activities following the HIMEKS organization with a contribution of 9.1% on student learning achievement. A positive effect with a correlation coefficient (r_x1y) of 0.302 with a low category; (2) there was an effect of learning intensity on student achievement with a contribution of 28.7%. The positive effect showed by the correlation coefficient (r_x2y) of 0.536, including the medium category; (3) there was an effect of participating in the HIMEKS organization and the intensity of learning together on student learning achievement 32.0%. A positive effect with a correlation coefficient of r_x1x2y=0.566 in the medium category.
Pengembangan LKPD Berbasis Model Pembelajaran AIR Berorientasi Pada Peningkatkan Kemampuan Komunikasi Matematika Atika Nur Hidayati; Alben Ambarita; Dwi Yulianti
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (982.269 KB) | DOI: 10.35438/inomatika.v3i2.256

Abstract

From the results of the answers to the test of mathematical communication skills and the deployment of the questionnaire obtained the problem, namely the low capacity of mathematical communication students, the difficulty of students to write the form of mathematical symbols, and the limitations of teaching materials used during learning in class V in elementary school. This study aimed to develop valid worksheets of students (LKPD) on building simple spaces in class V elementary school, knowing the practicality of LKPDs from users, educators and students, and knowing the effectiveness of LKPD on increasing mathematical communication skills. The method of development used in this study referred to the research design of Borg and Gall. Data collection techniques were carried out through documentation, observation, questionnaires, and students' mathematical communication skills tests. The subjects of this study were 25 control class students and 25 experimental class students at SDN 1 Semuli. The study results stated that LKPD products based on the AIR learning model were valid, practical, and effective in improving students' mathematical communication skills. It was proven by material experts, media experts, and language experts validating results with the "Very Valid" category. LKPD based on AIR learning models was practiced to be used by fulfilling the aspects of attractiveness, convenience, and usefulness with the "very practical" category. LKPD-based AIR learning models were effectively used to improve students' mathematical communication skills in the pretest and post-test scores, with the results of the calculation of the experimental class n-gain entry in the category was quite effective
Students' Attitudes Towards Implementation of Hawgent Dynamic Mathematics Software on Curved Surface Yongxing Huang; Jianlan Tang; Jerito Pereira; Chen Jihe; Maximus Tamur; Hermita Neni
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1299.832 KB) | DOI: 10.35438/inomatika.v3i2.257

Abstract

Along with the development of the world of science, it is getting faster ICT in education. The objectives to be achieved in this study are to find out how the student's response to the utilization of the Hawgent Dynamic Mathematics application on the material of the curved side of the learning room in the teaching and learning process took place in the classroom. The main object in this study was the 9th-grade junior high school student who was 96 students at Gusui Middle School in Guangxi Zhuang Autonomous Region. Data collection in this study was a questionnaire containing indicators that have to measure the student's response to the use of learning media using Hawgent Dynamic Mathematics and the primary tool processing research data, namely Ms. Excel and SPSS statistical. The study results were related to the student's response that students agreed, were happy, and were assisted by the Hawgent Dynamic application. The perception or student response results concluded that learning using Hawgent Dynamic software could help in mathematics. It was easier and satisfying for students to understand the material about building a curved side space. However, the use of Hawgent software was only limited to trials, so it was recommended that it be able to use and utilize this software for other discussions on mathematics lessons.
Kesalahan Siswa Sekolah Menengah Pertama dalam Menyelesaikan Soal Matematika Tipe Pisa Safegi, Jihan Della; Hapizah, Hapizah; Hiltrimartin, Cecil; Made Sukaryawan; Kodri Madang; Ketang Wiyono; Yenny Anwar
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.178 KB) | DOI: 10.35438/inomatika.v3i2.258

Abstract

This study aimed to determine student errors and the factors that caused students to make mistakes in solving PISA-type math problems. Error analysis was carried out based on Newman's analysis through tests and interviews. This research was conducted in one of the junior high schools in the Province of the Bangka Belitung Islands, involving 26 students. Subjects were selected based on a purposive sampling technique with three considerations: academic ability, teacher recommendations, and student willingness. This study used the descriptive qualitative method. The PISA math test questions tested consisted of change and relationship, space and shape, quantity and uncertainty, and data content. The results showed that reading errors were 40.21%, comprehension errors were 41.86%, transformation errors were 87.29%, process skill error is 90.26%, and the answer writing error is 88.46%. While uncertain and data is the content with the most significant error percentage, which is 82.31%. In general, errors were caused by students who cannot relate PISA questions to the material they usually study, and students were not accustomed to working on PISA questions.
Coronary Artery Disease Prediction Using Decision Trees and Multinomial Naïve Bayes with k-Fold Cross Validation Endang S Kresnawati; Yulia Resti; Bambang Suprihatin; M. Rendy Kurniawan; Widya Ayu Amanda
Jurnal Inovasi Matematika Vol 3 No 2 (2021): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1226.478 KB) | DOI: 10.35438/inomatika.v3i2.266

Abstract

Coronary artery disease has been the leading cause of death in the world population for at least two decades (2000-2019) and has experienced the largest increase in mortality in that time span compared to other causes of death. The success of predicting coronary artery disease early based on medical data is not only beneficial for patients, but also beneficial for the stability of the country's economy. This paper discusses the prediction of coronary artery disease risk by implementing two statistical learning methods, namely Multinomial Naïve Bayes and Decision Tree with 10-fold cross validation, where numerical variables are discretized to obtain categorical variables. The results showed that the Decision Tree method has better performance than the Multinomial Naïve Bayes method in predicting coronary artery disease. The performance measure of the Decision Tree method obtained an accuracy rate of 99.63%, 100% sensitivity, 99.33% specificity, 99.23% precision, and 100% Negative Prediction Value. These measures indicate that the Decision Tree method is appropriate for predicting coronary artery disease, including independent data (other coronary artery disease data with the same predictor variables). The results of this study also show that the different references to previous studies in discretizing numerical variables can improve the performance of the method in predicting coronary artery disease.

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