Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm

Dharshinni, N P

doi:10.31289/jite.v4i2.4316

Cited by 4 publications

(4 citation statements)

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“…In the actual operation of substations, dispatchers often need to manually query and count real-time alarm information; at the same time, they also need to analyze this information with solidified expert rules to monitor system failures [13,14]. Therefore, the system is mainly divided into three functional modules: event query and statistics, expert analysis, and historical fault database.…”

Section: System Function Realizationmentioning

confidence: 99%

Substation Operation Information Maintenance Based on Intelligent Data Mining

Zhang

Yuan

2022

Wireless Communications and Mobile Computing

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In order to solve the problems of redundancy of substation operation information, diversification of monitoring system versions, and heterogeneous data, the author proposes a remote-based intelligent data mining system for substation automation. Use data mining technology to classify and standardize the original alarm data, and associate it with the equipment ledger system to obtain a data warehouse of equipment parameters, status information, and related historical fault information. On this basis, the improved Apriori algorithm is used to extract strong association rules that satisfy the minimum trust threshold from the data warehouse, which provides decision-making basis for the operation and maintenance management of substation equipment. Experimental results show that using the improved Apriori algorithm to perform data mining on the substation operation alarm information in 143 intervals of a power supply bureau substation, the following strong association rules are obtained: association rule 1, “handcart test position ∩ device running alarm ∩ alarm signal has been reset interval debugging and maintenance”, γ support = 57 % , γ confidence = 69 % , and association rule 2, “Protection action∩ switch sectional position ∩ reclosing action ∩ total accident (hold) ∩ switch sectional signal has been reset ∩ reclosing action signal has been reset ∩ total accident (hold) signal has been reset Temporary equipment failure”, γ support = 41 % , γ confidence = 79 % . The effectiveness of the proposed data mining method is verified by a field case.

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Section: System Function Realizationmentioning

confidence: 99%

Substation Operation Information Maintenance Based on Intelligent Data Mining

Zhang

Yuan

2022

Wireless Communications and Mobile Computing

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“…Researchers also found other studies from Ario and Asra [9] stating that integral is difficult for students. Dharsinni and Saleh [10] pointed out that Definite Integral is considered one of the most critical subjects in integral. As this material is taught for grade 11 and 12 students in the curriculum of the Senior High Program in Indonesia, the primary audience for the games is students from grades 11 and 12.…”

Section: Conceptmentioning

confidence: 99%

7-Day Math: A Mobile Visual Novel Game for Mathematics Education

Florensia

Suryadibrata

2023

Int. J. Interact. Mob. Technol.

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Mathematics has a lot of negative stigma in society caused by the delivery of less interactive learning materials that makes many people not interested in studying mathematics. Educational games can be an option to create an interactive learning media. This study aimed to develop a mobile visual novel game for mathematics subjects, especially definite integral in order to increase interest in learning mathematics. Visual novel is used as a media to emphasise interactivity by delivering a story inside a game. This research investigates the level of immersion and behavioural intention to use using Hedonic-Motivation System Adoption Model (HMSAM). Evaluation was conducted using questionnaires with 46 students as respondents. The results showed that the application was able to increase students’ interest in learning mathematics. This is indicated by the level of behavioural intention to use of 84.28% which states that students strongly agree that the game is able to increase the reusability of the application. In addition, the game obtained 82.09% for the immersion aspect, showing that students alsostrongly agree that the game is able to make the players get carried away.

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“…Penelitian yang dilakukan oleh Dharshinni et al (2021) dijelaskan bahwa permasalahan yang dihadapi banyak siswa yang mengambil jurusan adalah karena mengikuti teman atau orang tuanya sehingga menyulitkan siswa untuk mengikuti mata pelajaran yang tersedia sesuai dengan jurusan yang dipilih dan berdampak pada prestasi belajar siswa. Dalam menganalisis penentuan jurusan yang tepat berdasarkan keahlian siswa digunakan algoritma C4.5.…”

Section: Pendahuluanunclassified

Menentukan Jurusan Perguruan Tinggi untuk Peserta Didik SMK Berdasar Nilai Raport serta Minat dan Bakat dengan Metode Decision Tree Algoritma C4.5 (Studi Kasus SMK Negeri 1 Donorojo Pacitan)

Baktiar,

Bambang Soedijono,

Alva Hendi Muhammad

2023

j. pilar. teknologi. j. ilm. ilm ilm. tek.

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The purpose of this research is to create a good method to assist in making the right decision in selecting tertiary majors for class XII students at SMK Negeri 1 Donorojo, and also to help agencies, especially SMK Negeri 1 Donorojo and other SMK, to be able to make decisions to determine the potential of each student. The limitation of the problem is to determine college majors for class XII students at SMK Negeri 1 Donorojo based on report cards and interests and talents, and the solution to be produced is a method that can provide an overview of college majors according to students' potential so that they can help agencies schools in guiding students who will continue on to higher education. Methods of data collection using observation and questionnaires (questionnaire), while for data analysis using the stages of Algorithm C4.5. The results showed that accuracy was 45.21%, Class Precision for English was 33.33%, Mathematics was 14.29%, Indonesian was 66.67%, Islamic Religious Education was 36.36%, and Citizenship Education was 0.00%. while for Class Recall English 27.27%, Mathematics 18.18%, Indonesian 70.59%, Islamic Religious Education 30.77%, and Citizenship Education 0.00%. The conclusion from this study is that students' interest in choosing majors in tertiary institutions is not always based on subject scores but more based on other unknown variables or attributes.

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Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm

Cited by 4 publications

References 0 publications

Substation Operation Information Maintenance Based on Intelligent Data Mining

Substation Operation Information Maintenance Based on Intelligent Data Mining

7-Day Math: A Mobile Visual Novel Game for Mathematics Education

Menentukan Jurusan Perguruan Tinggi untuk Peserta Didik SMK Berdasar Nilai Raport serta Minat dan Bakat dengan Metode Decision Tree Algoritma C4.5 (Studi Kasus SMK Negeri 1 Donorojo Pacitan)

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