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Image Processing Based Political Survey Information System Model Supports Decision Making in the Tabalong Regency Regional Election Rahman, Gazali; Apriansyah
KASTA : Jurnal Ilmu Sosial, Agama, Budaya dan Terapan Vol. 6 No. 1 (2026): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kasta.v6i1.2771

Abstract

This research is motivated by the increasing need for accurate, fast, and adaptive political data analysis models to address developments in digital technology, particularly in integrating visual and non-visual data. Theoretically, this research draws on machine learning-based analytical approaches, data integration theory, and concepts of information processing in intelligent systems. The urgency of this research lies in the limitations of conventional methods, which exhibit accuracy fluctuations in the range of 78%–82% and are unable to capture the complexity of voter preference patterns. The novelty of this research lies in the development of a predictive model based on the integration of textual questionnaire data and image data, which can significantly improve analysis accuracy. The research problem focuses on the model's effectiveness in improving accuracy, consistency, and processing time efficiency compared to conventional methods. The purpose of this research is to test model performance and identify the advantages of data integration in region-based political analysis. The method used is a quantitative approach with statistical output simulations similar to SPSS. The results showed that the model produced an average accuracy of 91.3% with a standard deviation of 0.56, an average processing time of 18 hours with a standard deviation of 0.82, and an increase in data interpretation accuracy of ±28% compared to conventional methods. In conclusion, the model proved to be more stable, efficient, and superior in producing comprehensive data-driven analysis.
Enhancing Quality of Guidance and Counseling in Vocational Schools: Testing the Effectiveness of Evaluation Instruments Based on the CIPP Model Setiawan, Muhammad Andri; Sari, Nina Permata; Makaria, Eklys Cheseda; Dinanty, Najwa Shabrina; Rahman, Gazali
PAEDAGOGIA Vol 27, No 1 (2024): PAEDAGOGIA Jilid 27 No 1 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/paedagogia.v27i1.84673

Abstract

This study assesses the CIPP (Context, Input, Process, Product) model's effectiveness in evaluating guidance and counseling programs within the Merdeka curriculum of Vocational High Schools. Collaborating with three experts—guidance and counseling specialists, educational technology experts, and practitioner teachers—the research employs assessment tests and pre-test/post-test questionnaires for 10 Guidance and Counseling Teachers at Vocational High School 3 Banjarmasin. Evaluation results, covering general, specific, and material aspects, show a high level of agreement among the three evaluators. General evaluation exhibits high reliability (ICC = 0.750), and thorough and material evaluations demonstrate high reliability with ICC values of 0.794 each. The trial of 10 Guidance and Counseling Teachers reveals a significant improvement in their evaluation skills after implementing the CIPP model. Average post-test results are notably higher than pre-test, highlighting the positive impact of the CIPP evaluation model on enhancing these skills. The research concludes that the CIPP evaluation model is reliable and consistent in measuring guidance and counseling program effectiveness in the Merdeka curriculum of Vocational High Schools. Empirical and theoretical support establishes a strong foundation for considering future implementation of the CIPP model in educational program evaluations. This model's application is anticipated to elevate the quality and relevance of educational programs, particularly in the context of guidance and counseling in Vocational High Schools, with potential practical and managerial benefits.