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Erna Kumalasari Nurnawati
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LINEAR REGRESSION MODEL: A STEP ANALYSIS AND ITS APPLICATION FOR EVALUATING THE STUDENT LEARNING PROCESS IN MATH SUBJECT Nurnawati, Erna Kumalasari; Setiawan, Ismail
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1536

Abstract

Essentially, education serves to create generations or people who are excellent thinkers, doers, and decision-makers. Based on academic performance, students' character sizes. Naturally, achieving good marks is influenced by a variety of things. The goal of this study is to examine the variables that affect student learning achievement using the linear regression method. The procedure is as follows: Convert the date to a number, eliminate any missing values, eliminate overlapping data, normalizing data (transforming a domain), Determine the correlation between the target attribute and the other attributes with the highest positive values, then select the target attribute.  According to the 9:1 ratio, divide the data into test and train data.  Find out how well the created model performs and what parameter modifications will result in the greatest performance. The calculations' findings and the developed model demonstrate that the qualities G1 (first period grade) and G2 (second period grade) are important determinants of elevating student achievement. In a comprehensive year-long learning assessment, the G2 (second period grade) attribute had the biggest influence on students' performance.
COMPARISON OF DECISION TREE AND NAÏVE BAYES ALGORITHMS IN CLASSIFICATION MODELS TO DETERMINE LECTURER PERFORMANCE USING K FOLD CROSS VALIDATION Nurnawati, Erna Kumalasari; Sholeh, Muhammad; Ariyana, Renna Yanwastika; Almuntaha, Eska
Jurnal TAM (Technology Acceptance Model) Vol 14, No 2 (2023): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i2.1604

Abstract

Lecturer performance is very important to support the progress of higher education. Determination of lecturer performance is based on Tri Dharma activities, including: teaching, research and community service. This study aims to build a model that can predict the predicate of lecturers from the activities carried out. The best model is obtained by comparing the use of two algorithms, namely Decision Tree and Naive Bayes. Data mining methods use the CRISP-DM method, namely business understanding, data understanding, data preparation, modeling, evaluation, and development. Performance testing of training data using K Fold Cross Validation. The modeling results with this performance show that the Decision Tree algorithm has better performance with 94.70%, accuracy, 93.24% precision and 96.33% recall, while Naïve Bayes algorithm has performance with 92.95%, accuracy 90.08% and 96.33%. This shows that modeling using the Decision Tree algorithm can be used as a model in determining lecturer performance.
Co-Authors -, Suraya Aji Nugrahaning Widhi Aji Pranoto Akwilius Ferdinandus Nugu Umpung Almuntaha, Eska Amir Hamzah Arbintarso, Ellyawan Setyo Ariyana, Renna Yanwastika Ath-Thaariq, Muhammad Rizqy Catur Andi Kurnianto Catur Iswahyudi Catur Iswayudi Dina Andayati Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Eris Arianto Erma Susanti Febrianto Ramadhon Fransiskus Borgias M. Haryani, Indah Dewi Hendra Ryadi Sardi Heri Ihwani Hibatullah, Milzam Hoga Prasetiya Ismail Setiawan Iswayudi, Catur Joko Triyono Joko Triyono Juniana Husna Laksono Trisnantoro Lilia Ervina Jeronimo Guterres Lukman Wijaya Lumaksono, Fikar Tri Putra Mohammad Sholeh Muanar Gadafi Barek Muh. Eko Saputra L Muhammad Adji Pratama MUHAMMAD SHOLEH Muhammad Sholeh Muryanto, Joko Ragusta, Yuda Rr. Yuliana Rachmawati, Rr. Yuliana Saldanha, Paulino Sisi, Kristoforus Supriyanri, Sri Suraya Suraya Suraya Taufiqur Rohman Triambodo, Deddy Arri Uning Lestari Wahyudi, Putu Widi Waluyo, Sidik Wijayanto Prasetya Arkiang, Wijayanto Prasetya Yeremias Budi Liman Hege, Yeremias Budi Liman Yogi Ariandono Yosi Iman Setiadi