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All Journal Nusantara Hasana Journal Journal Electrical and Computer Experiences
Maulia Rahman
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Nursing

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USING THE DUOLINGO APPLICATION IN DEVELOPING STUDENTS’ VOCABULARY MASTERY Maulia Rahman; Zuhri Efendi
Nusantara Hasana Journal Vol. 4 No. 2 (2024): Nusantara Hasana Journal, July 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i2.1167

Abstract

Vocabulary mastery is still poor for most students at MTsN 3 Southwest Aceh. It needs the appropriate strategy in teaching vocabulary. This study aims to see whether or not the implementation of Duolingo can improve students’ vocabulary mastery. This study was conducted using an experimental method. The students of class VII.1 as the experimental class and students of class VIII.B as the control class. The data was collected by using pre-test and post-test. An independent sample t-test was used to find out the effectiveness of implementing Duolingo. The findings of the study showed that there is a significant improvement in students’ vocabulary mastery after treatment. The quantitative analysis obtained the value of the probability was 0.00 and it was less than 0.05 (0.00 < 0.05). In conclusion, this study Ha was accepted and Ha was rejected. It means there is a significant difference in enhancing vocabulary between the experimental class taught by using Duolingo and the control group, who taught by using the conventional method. In conclusion, teaching vocabulary by using Duolingo was better than the conventional method.
Determining Participants in the Web Technologies Student Competency Competition Using the Vikor Method Maulia Rahman
Journal Electrical and Computer Experiences Vol. 1 No. 2 (2023): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v1i2.201

Abstract

The selection of participants in the student competency competition (LKS) of SMK Swasta Tritech Informatika Medan is done manually by collecting students, calculating and comparing with supporting data such as the average competency score in the report by productive teachers. In order to be more efficient and right on target in selecting students as participants in the student competency competition at SMKS Tritech Informatika Medan, the head of the department must change the system. The application of the VIKOR method is used in determining the order or priority in efficient and simple multicriteria analysis. Based on the research sample data, with the lowest Qi result score, namely value 0, selected as a participant in the Student Competency Competition (LKS) which will represent the SMK Tritech Informatika Medan school for the Software Engineering and Game Department, namely alternative A8 with the student's name Nafil Rizqtrianto with 6 criteria, namely Mastering programming languages, Understanding Framework, Understanding program analysis, Understanding OOP, Mastering databases and report card scores.
Comparative Analysis of AHP and TOPSIS Methods in Retail Business Location Selection Decision Support System Maulia Rahman
Journal Electrical and Computer Experiences Vol. 2 No. 2 (2024): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v2i2.355

Abstract

Retail business location selection is a critical strategic decision for company success. This research aims to compare the effectiveness of the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in decision support systems for retail business location selection. Using a simulation-based quantitative approach, this study evaluates the performance of both methods based on alternative ranking accuracy, result consistency, and computational efficiency. Results show that AHP excels in handling complex criteria hierarchies and result consistency, while TOPSIS demonstrates superiority in computational efficiency and resilience to data outliers. Sensitivity analysis reveals that AHP is more sensitive to changes in criteria weights compared to TOPSIS. Model validation through comparison with literature case studies shows a high level of concordance between simulation results and actual decisions. This research provides theoretical contributions to the development of decision support systems and practical implications for decision-makers in the retail industry. Development prospects include method integration for hybrid approaches and exploration of big data integration in the retail location decision-making process.
Co-Authors Zuhri Efendi