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All Journal IJIIS: International Journal of Informatics and Information Systems Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia
Yarsasi, Sri
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Computer Science & IT Education Engineering

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Analisis Validitas dan Reliabilitas Kuesioner dengan Metode Partial Least Squares Structural Equation Modeling pada Aplikasi SMARTPLS Yarsasi, Sri; Tahyudin, Imam; Hariguna, Taqwa
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 7 (2025): JPTI - Juli 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.885

Abstract

Validitas dan reliabilitas instrumen merupakan aspek krusial dalam penelitian kuantitatif, karena kualitas pengukuran yang rendah dapat menghasilkan data yang tidak akurat dan mengarah pada kesimpulan yang menyesatkan. Penelitian ini bertujuan untuk mengevaluasi kualitas pengukuran instrumen kuesioner menggunakan pendekatan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS. Metode ini dipilih karena mampu menangani model yang kompleks dan data yang tidak memenuhi asumsi normalitas. Hasil analisis menunjukkan bahwa sebagian besar indikator memiliki nilai outer loading di atas 0,70, nilai Composite Reliability (CR) berada dalam rentang 0,817 hingga 0,914, dan nilai Average Variance Extracted (AVE) melebihi 0,50, yang menunjukkan bahwa instrumen memiliki konsistensi internal dan validitas konvergen yang baik. Namun demikian, terdapat dua indikator dengan nilai outer loading di bawah ambang batas, yaitu X3.2 sebesar 0,612 dan Y2.4 sebesar 0,588, yang perlu dievaluasi ulang. Temuan ini menegaskan bahwa pendekatan PLS-SEM efektif untuk memvalidasi instrumen, terutama dalam penelitian dengan sampel terbatas dan desain eksploratori. Studi ini memberikan kontribusi metodologis terhadap pengembangan instrumen penelitian yang lebih akurat dan adaptif, serta menunjukkan urgensi penggunaan pendekatan statistik modern dalam evaluasi instrumen di berbagai bidang keilmuan.
A Text Classification Approach for Detecting Cyberbullying Risk on Twitter Using Support Vector Machine with Naive Bayes and Random Forest Comparison Yarsasi, Sri; Iskoko, Angga
International Journal of Informatics and Information Systems Vol 8, No 4: Regular Issue: December 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i4.290

Abstract

The rapid development of social media as a means of digital interaction also presents serious challenges in the form of the spread of negative content, including cyberbullying. Cyberbullying is a form of verbal violence committed online and has a significant impact on mental health, especially in adolescents. This research aims to develop a text classification model to detect the risk of cyberbullying using the Support Vector Machine (SVM) algorithm. The data used comes from a collection of cyberbullying-themed tweets. The research stages include text preprocessing (normalization, cleaning, tokenization, stopword removal, and stemming), feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF), data division into training and testing sets, and model training using linear kernel of SVM. The model was evaluated using accuracy, precision, recall, and F1-score metrics. The results show that this approach is able to identify risky comments quite accurately, with optimal performance on the linear kernel. This research contributes to the development of automated detection systems to create a safer and healthier digital ecosystem, and supports preventive efforts in mitigating cyberbullying online.
User Experience Analysis of Learning Management System (LMS) SINAU to Support Learning with MERDEKA Flow Using UX Curve Method Yarsasi, Sri; Tahyudin, Imam; Hariguna, Taqwa
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4579

Abstract

The rapid development of information technology has driven transformation in education, including the use of Learning Management Systems (LMS) to facilitate independent and flexible learning aligned with the Merdeka Curriculum. This study aims to evaluate the user experience (UX) of the Sinau LMS at SMA Negeri 1 Sidareja using the UX Curve method, which tracks changes in user perceptions over time. The research involved 20 grade XII students who had used the LMS for at least three months. Data were collected through initial questionnaires, interviews, UX curve drawings, and final questionnaires, focusing on five main UX aspects: General UX, Attractiveness, Ease of Use, Utility, and Degree of Usage. The analysis of 100 curves revealed that more than half of the respondents experienced a decline in user experience quality, particularly in Ease of Use, General UX, and Degree of Usage, due to issues such as an unattractive interface, navigation challenges, and limited feature relevance. Conversely, a minority showed improved perceptions as they adapted and became more familiar with the system. These findings highlight the need for continuous improvement of the LMS's interface design and features to enhance user satisfaction and learning effectiveness. The study contributes theoretically by demonstrating the application of the UX Curve in educational systems and practically by providing recommendations for refining LMS development to better support the Merdeka Curriculum.
Co-Authors Imam Tahyudin Iskoko, Angga Taqwa Hariguna