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Journal : Proceeding International Conference on Education

Optimizing the Selection of BTQ Learning Methods at UIN Syekh Wasil Kediri Through the Simple Additive Weighting Method Mubarokah, Lailatul; Hamidah, Dwi Ananda; Vindiani, Poppy Nabila; Ilmiyah, Nur Fadilatul
Proceeding International Conference on Education Volume 03, Agustus Tahun 2025: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

The selection of an appropriate Quranic Recitation and Writing (BTQ) method has a direct and significant impact on students’ academic progress, as BTQ is a mandatory prerequisite for participating in the Community Service Program (KKN) at UIN Syekh Wasil Kediri. However, the current process for selecting a BTQ method has not been based on a structured and objective approach. Consequently, many students experience difficulties in passing the BTQ examination, which in turn delays their participation in KKN. This quantitative descriptive study aims to analyze the application of the Simple Additive Weighting (SAW) method in determining the most effective BTQ method for students at UIN Syekh Wasil Kediri. The SAW method was selected for its capability to produce accurate results through a systematic process of evaluating and ranking alternatives. The BTQ method selection process was evaluated based on eight criteria: ease of material delivery by the instructor, structured learning system, availability of supporting textbooks, tajweed instruction, introduction to makharij al-huruf, use of melody in recitation, instructor recruitment mechanism, and grading level advancement system. The SAW calculations were conducted by a decision maker who assigned weights to these criteria. Evaluation data were collected through questionnaires administered to twelve respondents to assess six alternative BTQ methods. Based on the SAW calculation results, the recommended ranking of BTQ methods is as follows: Qira’ati, Ummi, Yanbu’a, Tilawati, Iqra’, and Jami’ati. This research is expected to contribute significantly to the BTQ program at UIN Syekh Wasil Kediri by addressing challenges related to BTQ graduation rates and delays in KKN participation.
Recommending Mathematics Learning Applications for Students: A Comprehensive Approach Using Multi-Attribute Utility Theory (MAUT) Nabila, Tya; Ardana, Ade Fitri Novi; Anisa’, Nadhifatul; Ilmiyah, Nur Fadilatul
Proceeding International Conference on Education Volume 03, Agustus Tahun 2025: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

Selecting the right mathematics learning application is crucial for supporting students' learning processes, but this is often hampered by a wide variety of choices without objective guidance, potentially leading to less effective selections. This descriptive quantitative study describes the implementation of the Multi-Attribute Utility Theory (MAUT) method to recommend mathematics learning applications that align with student needs. MAUT flexibly and comprehensively considers various weighted criteria, making it effective for decision-making with complex preferences. Eight criteria were used to evaluate ten mathematics learning applications: (1) user review count, (2) storage capacity, (3) rating, (4) user count, (5) application usage cost, (6) answer accuracy, (7) ease of use (UI/UX), and (8) step-by-step solutions. Data were collected through questionnaires distributed to 20 respondents. The calculation process in the MAUT method was carried out through several stages: determining the relative weights for each criterion, constructing a decision matrix, performing normalization on the decision matrix, and calculating the final utility value for each alternative. Based on the calculation results using the MAUT method, the recommended application order is as follows: Photomath, Question.AI, Cymath, QANDA, Gauthmath, Check Math, Symbolab, Mathos AI, Mathway, and Math Workout. This study is expected to provide a practical contribution by helping students and educational institutions choose the most optimal mathematics learning application, and to serve as a basis for the future development of a more structured recommendation system.
Selection of The Best Lecturer Using Fuzzy Tahani Ilmiyah, Nur Fadilatul; Resti, Nalsa Cintya
Proceeding International Conference on Education Volume 01, Agustus Tahun 2023: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

This quantitative descriptive study seeks to provide an overview of the Fuzzy Tahani use to aid in selecting the best lecturers in the Mathematics Education Study Program based on EDOM. Four areas of lecturer competency will be measured: pedagogical, professional, personality, and social. Compiling domains and membership functions, establishing membership degrees, compiling Fuzzy rules, compiling Fuzzy Queries, assessing fire strength, and assembling recommendations for the best lecturer candidates are the six parts of this research. The study's findings indicate that Fuzzy Tahani can aid in selecting the finest lecturers based on EDOM. Based on calculations, DTM06 is the best lecturer in the Mathematics Education Study Program.
Implementation of Multi-Attribute Utility Theory and Borda Count Method for Selecting Tahfidzul Qur'an Islamic Boarding Schools Ilmiyah, Nur Fadilatul; Salsabela, Qothrun Nada; Rohmah, Nafilatur; Nisa, Afifatun
Proceeding International Conference on Education Volume 01, Agustus Tahun 2023: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

This descriptive qualitative research aims to provide an overview of the implementation of the Multy Attribute Utility Theory and Borda Count Methods in compiling recommendations for selecting Tahfidzul Qur'an Islamic boarding schools that align with the expectations of prospective students. This research consists of five stages: compiling criteria and their measurement scale, determining the preference weight of each criterion for each decision maker, implementing the MAUT Method, implementing the Borda Count Method, and compiling recommendations. The research results show that both methods can support selecting the best Tahfidz Islamic boarding school, according to what the students expect. From the calculation results, the Tahfidzul Qur'an boarding school with code PPTQ03 is the boarding school that best fits the preference weight of the decision-makers
Contextualization of Mathematics Learning Through Decision-Making Schemes in Disaster Mitigation Al Hasani, Salma Zahrotun Nihayah; Salsabela, Qothrun Nada; Ilmiyah, Nur Fadilatul
Proceeding International Conference on Education Volume 02, Agustus Tahun 2024: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

The internalization of abstract mathematical concepts often poses a significant challenge for students, even though mathematics is fundamental to numerous disciplines, such as complex decision-making. This study aims to show the critical role of the matrix in the Multi-Attribute Utility Theory (MAUT) method in determining the location of suitable shelters for victims of natural disasters, especially the eruption of Mount Kelud in the Kediri area. This study employs a qualitative descriptive approach to examine the application of the matrix in evaluating various criteria, including the number of public facilities, capacity, availability of bathrooms and ventilation. The study results show that the MAUT method, with the help of a matrix, can provide recommendations for the five most suitable sub-districts as shelter locations. This research is expected to contribute to developing decision support systems for disaster mitigation and improve students' understanding of mathematics applications in real contexts.