Mohammad Tohir
@ibrahimy.ac.id
Mathematics Education, Faculty of Education
Universitas Ibrahimy, Situbondo, Indonesia
Mohammad Tohir as Editor-in-chief of the Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika (Alifmatika: Journal of Mathematics Education and Learning). Mohammad Tohir started learning to write since he was still in the undergraduate degree, namely student scientific papers, and at the same time as the head of the editorial team of scientific papers. He has written a Book of Information and Communication Technology for Grade 7, 8, and 9 Junior High Schools and a Junior High School Mathematics Olympiad Development Book. Mohammad Tohir further solidified his desire to play an active role in the world of education, namely as a resource for national seminars, 2013 Curriculum Implementation workshops, training/workshops for the development of mathematics olympiad for MGMP teachers, training for deepening concepts in competency group teacher for professionals through online mode, mathematical dialogue with students, presenter at national and international seminars.
RESEARCH INTERESTS
Mathematics Education; Mathematics Learning; Teacher Education; Educational Research; Developmental Research
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Muhasshanah Muhasshanah, Mohammad Tohir, Dewi Andariya Ningsih, Neny Yuli Susanti, Astik Umiyah, and Lia Fitria
Universitas Bina Nusantara
Technology advancements in the world of information have made it easier for many people to process data. Data mining is a process of mining more valuable information from large data sets. The research aims to determine the difference between the C.45 and random forest algorithms in data mining to predict the childbirth process of pregnant women. It compares the accuracy of the performance results of the C4.5 and random forest algorithms to predict the delivery process for pregnant women. Then, experimental research is conducted to classify the childbirth process in Situbondo, Indonesia, by applying the C.45 and the random forest algorithm in the data mining. The decision tree J48 algorithm is used for the C4.5 algorithm in the research. Both algorithms are compared for their error classification and accuracy level. The research uses 1,000 data for training and 200 data for testing. The results show the accuracy of implementing the C4.5 and random forest algorithms with data mining using 10-fold cross-validation, generating 96% and 95% as correctly classified data. Then, the Relative Absolute Error for both algorithms has the same result. It is 15%. The C4.5 algorithm has a better result than the random forest algorithm by comparing the performance results. Further research can add more data to improve the accuracy of the analysis results by using another algorithm.
Mohammad Tohir, Muzayyanatun Munawwarah, Saiful, Abd. Muqit, Khoirul Anwar, Kandiri, and Asmuki
AIP Publishing
T T Wijaya, I I Mutmainah, N Suryani, D Azizah, A Fitri, N Hermita, and M Tohir
IOP Publishing
Abstract This research aims to know the difficulty level and the difficulties faced by students on congruent and similar problems. The test is taken from students’ mid-semester exam in march 2021. Students’ learning condition is under the coronavirus pandemic. This research uses a mix-method to process its data which are the qualitative and quantitative methods. The quantitative method is used to analyze the difficulty level and the qualitative method will explain the difficulties faced by students when solving congruent and similar problems. There are 9 questions given in this research that consists of 8 visual problems and one combined problem. The difficulties of the problems are four questions with easy difficulty and five questions with medium difficulty. The sample of this research is 61 9th grade students from SPMN 47, Bandung, Indonesia. The data is taken by using the google platform. The second data will be taken from teachers’ interview results following the analysis of students’ difficulties when solving congruent and similarity problems. The test result average is 64.77 and teachers’ interview result shows that the poor test result is because teachers are not prepared with the teaching condition during the coronavirus pandemic. A recommendation for teachers is that they can improve their ability by integrating technology in mathematics.
M Tohir, M Atikurrahman, M Maswar, L A Daulay, M Minhaji, A Albadri, and W Sardjono
IOP Publishing
W Sardjono, RC Lahlianti, Hobri, M Tohir, and M Mukhlis
IOP Publishing
E Selviyanti, W Sardjono, M Mukhlis, M Tohir, M Maswar, and A Fariz
IOP Publishing
W Sardjono, E Selviyanti, M Tohir, and R Azizah
IOP Publishing
W Sardjono, E Selviyanti, M Mukhlis, and M Tohir
IOP Publishing
M Tohir, M Maswar, M Mukhlis, W Sardjono, and E Selviyanti
IOP Publishing
H Muttaqin, Susanto, Hobri, and M Tohir
IOP Publishing
W Sardjono, E Selviyanti, M Tohir, and M Mukhlis
IOP Publishing
Diyah Ayu Rizki Pradita, Maswar Maswar, Mohammad Tohir, Junaidi Junaidi, and Dwi Nur Hadiyansah
IOP Publishing
Mohammad Tohir
Eurasian Society of Educational Research
This research aims to describe the expectations of prospective teachers for students' mathematical thinking processes in solving problem-based on the Polya model. This model is perceived by the theory of mathematical thought processes proposed by Mason. A descriptive method with a qualitative approach was used in this research. The research subjects were 25 students from the Department of Mathematics Education, Ibrahimy University. The test was given to collect data related to mathematical thinking processes expected by prospective teachers to students. Collected data including observations, tests, and interviews were tested in the aspect of their validity by triangulation. The qualitative descriptive was used to analyze the data. The results indicated that: (1) The average GPA (Grade Point Average) of the high, medium, and low group prospective teachers' were 93.25; 89.89; and 83.63 with a standard deviation of 1.754 each; 1.054; and 5.370, respectively (2) The prospective teachers expected that the students' mathematical thinking processes were able to carry out all of four mathematical thinking processes based on Mason Theory; (3) The prospective teachers expected that students were able to use Mason Theory on every stage of the Polya model problem solving; and (4) The expectation of prospective teachers were specializing (89%), generalizing (75%), conjecturing (62%), and convincing (59%). The results suggest for following up in a teachers or lecturer’s meeting in order to find out the expectations of their students' mathematical thinking processes, both in mathematics or other disciplines.
For development in military applications, industrial and government the predictive analytics and decision models have long been cornerstones. In modern healthcare system technologies and big data analytics and modeling of multi-source data system play an increasingly important role. Into mathematical models in these domains various problems arising that can be formulated, by using computational techniques, sophisticated optimization and decision analysis it can be analyzed. This paper studies the use of data science in healthcare applications and the mathematical issues in data science
M Tohir, Z Abidin, Dafik, and Hobri
IOP Publishing
Arithmetics is one of the topics in Mathematics, which deals with logic and detailed process upon generalizing formula. Creativity and flexibility are needed in generalizing formula of arithmetics series. This research aimed at analyzing students creative thinking skills in generalizing arithmetic series. The triangulation method and research-based learning was used in this research. The subjects were students of the Master Program of Mathematics Education in Faculty of Teacher Training and Education at Jember University. The data was collected by giving assignments to the students. The data collection was done by giving open problem-solving task and documentation study to the students to arrange generalization pattern based on the dependent function formula i and the function depend on i and j. Then, the students finished the next problem-solving task to construct arithmetic generalization patterns based on the function formula which depends on i and i + n and the sum formula of functions dependent on i and j of the arithmetic compiled. The data analysis techniques operative in this study was Miles and Huberman analysis model. Based on the result of data analysis on task 1, the levels of students creative thinking skill were classified as follows; 22,22% of the students categorized as "not creative"; 38.89% of the students categorized as "less creative" category; 22.22% of the students categorized as "sufficiently creative"; and 16.67% of the students categorized as "creative". By contrast, the results of data analysis on task 2 found that the levels of students creative thinking skills were classified as follows; 22.22% of the students categorized as "sufficiently creative", 44.44% of the students categorized as "creative"; and 33.33% of the students categorized as "very creative". This analysis result can set the basis for teaching references and actualizing a better teaching model in order to increase students creative thinking skills.