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All Journal Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Journal of Information Systems Engineering and Business Intelligence Jurnal Pendidikan Agama Islam MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Tarbiyatuna : Kajian Pendidikan Islam DIMAR: Jurnal Pendidikan Islam Journal of Soft Computing Exploration Jurnal Pendidikan Islam Journal of Student Research Exploration Journal of Information System Exploration and Research Scientific Journal of Informatics Jurnal Ilmiah Riset dan Pengembangan
Rofik Rofik, Rofik
FITK UIN Sunan Kalijaga Yogyakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analisis Persepsi Mahasiswa terhadap Efektivitas Strategi Pembelajaran Socratic Questioning dalam Meningkatkan Keterampilan Berpikir Kritis Aribah, Lutfina; Sabarudin, Sabarudin; Rofik, Rofik
DIMAR: Jurnal Pendidikan Islam Vol. 6 No. 2 (2025): Dimar: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Al Mubarok Bandar Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58577/dimar.v6i2.339

Abstract

The learning process is a crucial element in education that includes the teacher's efforts in creating an atmosphere and providing support so that learning activities can run well. Education equips students with various skills to face challenges and changes. The Socratic Questioning strategy is a learning approach that focuses on in-depth question and answer dialog to encourage students' critical, analytical, and evaluative thinking. This study aims to evaluate the implementation of Socratic Questioning strategy in improving students' critical thinking skills and to determine the effectiveness of this strategy in learning. This type of research is qualitative with a case study approach, involving 40 students at UIN Sunan Kalijaga Yogyakarta as resource persons. Data collection techniques were conducted through questionnaires and in-depth interviews, then analyzed using thematic analysis techniques. The results showed that the majority of students gave positive responses to the application of this strategy, with 53.77% agreeing and 26.65% strongly agreeing. The implementation of the Socratic Questioning strategy proved to be effective in helping students develop critical thinking skills, strengthening their ability to organize arguments systematically, and increasing engagement in class discussions. This study provides practical implications for lecturers in using the Socratic Questioning strategy to encourage more productive interactions and improve the quality of class discussions.
Kinerja Pegawai Perpustakaan Sekolah dalam Peningkatan Pelayanan Dwi Hermawan, Guntur; Dwi Jayanti, Oni; Rofik, Rofik
Irpia : Jurnal Ilmiah Riset dan Pengembangan Volume 7 Nomor 4
Publisher : Institut Riset dan Pengembangan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71040/irpia.v8i3.181

Abstract

Optimization of library services in schools can be caused by various factors, one factor that is quite important is the performance of library staff. Based on the problems above, the writer really needs to try to research to solve these problems. The aims of the research are: (1) to find out the performance of school librarian employees; and (2) improving the quality of school library services through the performance of library staff. The research method uses a qualitative approach and a descriptive research type. The types of data used in this research are: (1) primary data relating to the research focus and (2) secondary data: documents; reports; and archives related to research. The method of collecting research data that the authors used in this study were as follows: (1) observation techniques; (2) interviews, and (3) distribution of questionnaires and questionnaires. The research instruments used were: (1) interview guidelines; (2) field notes or stationery; (3) distributing questionnaires to predetermined respondents. The findings of this study are: (1) the responsiveness of services in the school library is still low as indicated by the persistence of complaints from service users against school library service providers; (2) the reliability of school library service officers is still not relevant, this can be seen from the incomplete collection of school libraries in meeting the needs of service users; (3) school library service ethics are still low and not in accordance with the National Library service standards. Staff lack respect and seem indifferent to users, this makes users less interested in coming to the school library; (4) school library service facilities have not shown good service performance, this can be seen by the number of users who are still not comfortable with the arrangement of library facilities and the cleanliness has not been maintained.
Optimization of SVM and Gradient Boosting Models Using GridSearchCV in Detecting Fake Job Postings Rofik, Rofik; Hakim, Roshan Aland; Unjung, Jumanto; Prasetiyo, Budi; Muslim, Much Aziz
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3566

Abstract

Online job searching is one of the most efficient ways to do this, and it is widely used by people worldwide because of the automated process of transferring job recruitment information. The easy and fast process of transferring information in job recruitment has led to the rise of fake job vacancy fraud. Several studies have been conducted to predict fake job vacancies, focusing on improving accuracy. However, the main problem in prediction is choosing the wrong parameters so that the classification algorithm does not work optimally. This research aimed to increase the accuracy of fake job vacancy predictions by tuning parameters using GridSearchCV. The research method used was SVM and Gradient Boosting with parameter adjustments to improve the parameter combination and align it with the predicted model characteristics. The research process was divided into preprocessing, feature extraction, data separation, and modeling stages. The model was tested using the EMSCAD dataset. This research showed that the SVM algorithm can achieve the highest accuracy of 98.88%, while gradient enhancement produces an accuracy of 98.08%. This research showed that optimizing the SVM model with GridSearchCV can increase accuracy in predicting fake job recruitment.
Development of Islamic Cultural History Learning Materials in Indonesia’s 2013 Curriculum Rofik, Rofik
Jurnal Pendidikan Islam Vol. 8 No. 2 (2019)
Publisher : Faculty of Tarbiyah and Education, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jpi.2019.82.309-344

Abstract

Curriculum development from Competency-Based Curriculum (KBK 2004) to Education Unit Level Curriculum (KTSP 2006) and Curriculum 2013 occurred in a relatively short period. In short, the timespan of this kind of development then gives rise to various responses from Education practitioners. This study aims to explain how teachers can take steps to develop the materials of the Islamic Cultural History subject in the Islamic Senior High School’s 2013 Curriculum. This type of study is a literature study. The development of learning materials starts with making a mapping or mutual relationship between one Basic Competency with other Basic competencies. The results of the mapping have implications for the emergence of the formulation of the Main Materials. The next step is to develop indicators of Competency Achievement based on Knowledge Basic Competencies and Skills. Based on Competency Achievement Indicators, they are formulated into learning materials, which are the scope of the primary materials. Thus, there will be harmony between learning materials with competence. Further, this harmony leads to the formulation of attitudes or values achieved after learning the Learning materials. The results of this study will facilitate teachers in the preparation of the Syllabus to the Learning Implementation Plan (RPP).
Application go-sport as a solution to search information on facilities, places, partners, and sports events for students Rofik, Rofik; Anggraini, Tasya Fitria; Prasetiyo, Budi; KA, Cecep Bagus Suryadinata
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.164

Abstract

Sport is a physical and mental activity that is beneficial for people to maintain the body and develop the quality of health. This makes exercise an activity that needs to be done for everyone to maintain their stamina. However, the lack of information about places, facilities, partners, and sports events is a strong reason in terms of reducing student motivation in carrying out sports activities themselves. The purpose of this research is none other than to design an application that can help students get all sports information. These things are none other than to foster a strong desire to do sports activities. Through technology smartphone which has been owned by the wider community, this research creates a solution by designing an application called "Go-Sport". This study uses the "Design Thinking" method, which focuses on finding and understanding user needs to obtain an optimal solution in the form of the results of the features to be made. From this research, a design or prototype of the "Go-Sport" application was produced which is ready to be implemented and tested on users.
Evaluation of Ridge Classifier and Logistic Regression for Customer Churn Prediction on Imbalanced Telecommunication Data Rofik, Rofik; Unjung, Jumanto
Scientific Journal of Informatics Vol. 12 No. 2: May 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i2.24620

Abstract

Purpose: Customer churn is a crucial issue for companies, especially those in the telecommunications sector, as it has a direct impact on revenue and new customer acquisition costs. The purpose of this research is to create a customer churn prediction model through performance comparison between the Logistic Regression algorithm and Ridge Classifier, considering the effect of data balancing. Methods: This study developed a churn classification model by comparing the Logistic Regression and Ridge Classifier algorithms in three scenarios: without data balancing, balancing using SMOTE, and balancing using GAN. The dataset used was Telco Customer Churn from Kaggle. Model evaluation was performed using a confusion matrix with accuracy, precision, recall, and F1-score metrics, with a primary focus on the accuracy metric. Result: The results show that data balancing using SMOTE and GAN does not improve model accuracy. The highest accuracy was achieved by the Ridge Classifier without data balancing, at 82.47%, followed by Logistic Regression at 82.25%. However, the recall and F1-score metrics improved when using SMOTE. The highest recall was achieved by Ridge Classifier at 75.34% and Logistic Regression at 75.07% in the SMOTE 50:50 scenario. The highest F1-score was also achieved by Ridge Classifier at 64.76% and Logistic Regression at 64.68% followed by the SMOTE 50:30 scenario. Meanwhile, the precision metric tends to decrease after data balancing. Novelty: The uniqueness of this study lies in the comparison of the performance of the Ridge Classifier and Logistic Regression in data balancing scenarios using SMOTE and GAN, which has not been widely discussed in previous studies. The main findings show that the highest accuracy is achieved when the Ridge Classifier model uses original data or without applying SMOTE or GAN data balancing. However, data balancing using SMOTE has been proven to significantly improve the recall and F1-score metrics.
Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction Jumanto, Jumanto; Rofik, Rofik; Sugiharti, Endang; Alamsyah, Alamsyah; Arifudin, Riza; Prasetiyo, Budi; Muslim, Much Aziz
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 1 (2024): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.1.38-50

Abstract

Background: Parkinson's disease (PD) is a critical neurodegenerative disorder affecting the central nervous system and often causing impaired movement and cognitive function in patients. In addition, its diagnosis in the early stages requires a complex and time-consuming process because all existing tests such as electroencephalography or blood examinations lack effectiveness and accuracy. Several studies explored PD prediction using sound, with a specific focus on the development of classification models to enhance accuracy. The majority of these neglected crucial aspects including feature extraction and proper parameter tuning, leading to low accuracy. Objective: This study aims to optimize performance of voice-based PD prediction through feature extraction, with the goal of reducing data dimensions and improving model computational efficiency. Additionally, appropriate parameters will be selected for enhancement of the ability of the model to identify both PD cases and healthy individuals. Methods: The proposed new model applied an OpenML dataset comprising voice recordings from 31 individuals, namely 23 PD patients and 8 healthy participants. The experimental process included the initial use of the SVM algorithm, followed by implementing PCA for feature extraction to enhance machine learning accuracy. Subsequently, data balancing with SMOTE was conducted, and GridSearchCV was used to identify the best parameter combination based on the predicted model characteristics.  Result: Evaluation of the proposed model showed an impressive accuracy of 97.44%, sensitivity of 100%, and specificity of 85.71%. This excellent result was achieved with a limited dataset and a 10-fold cross-validation tuning, rendering the model sensitive to the training data. Conclusion: This study successfully enhanced the prediction model accuracy through the SVM+PCA+GridSearchCV+CV method. However, future investigations should consider an appropriate number of folds for a small dataset, explore alternative cross-validation methods, and expand the dataset to enhance model generalizability.   Keywords: GridSearchCV, Parkinson Disaese, SVM, PCA, SMOTE, Voice/Speech
Co-Authors Abdul Aziz, Alif Alamsyah - Anggraini, Tasya Fitria Ardyani, Salma Shafira Fatya Aribah, Lutfina Artiyani, Fani Aulia, Reza Budi Prasetiyo, Budi Dwi Hermawan, Guntur Dwi Jayanti, Oni Endang Sugiharti, Endang Faaza, Muhammad Hakim, Ade Anggian Hakim, Roshan Aland Herlambang, M. Jumanto Jumanto, Jumanto Jumanto Unjung KA, Cecep Bagus Suryadinata Much Aziz Muslim Muqowim, Muqowim Musaadah, Khalimah Noorhaidi Hasan Nurul Hak Pertiwi, Dwika Ananda Agustina Pratidinal Jadid, Rosyid Riza Arifudin Sabarudin Sabarudin Simanjuntak, Robert Panca R. Tanga, Yulizchia Malica Pinkan