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All Journal Jurnal Tekno Insentif Jurnal Paedagogy
ISKANDAR, AYSHA ALIA
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Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

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Prediction of House Price using the Multivariate Adaptive Regression Spline Method ISKANDAR, AYSHA ALIA; Al Husaeni, Dwi Fitria; Sahidin, M. Zaenal Iskandar; Riza, Lala Septem; Wahyudin, W.
Jurnal Tekno Insentif Vol 19 No 1 (2025): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v19i1.1858

Abstract

Kekritisan lingkungan adalah kondisi suatu wilayah yang menunjukkan tingkat kerusakan atau kekritisan yang dapat memengaruhi kemampuan lingkungan dalam mendukung kehidupan manusia dan ekosistem. Faktor penyebabnya meliputi rendahnya vegetasi (NDVI), meningkatnya lahan terbangun (NDBI), suhu permukaan tinggi (LST), dan kepadatan penduduk. Tujuan penelitian ini menganalisis tingkat kekritisan lingkungan di Kota Bandar Lampung serta hubungan antara parameter tersebut terhadap kekritisan lingkungan. Metode yang digunakan adalah algoritma Environmental Critical Index (ECI) yaitu pendekatan integratif yang menggabungkan beberapa parameter lingkungan untuk menilai tingkat kekritisan wilayah secara spasial dan kuantitatif dengan data citra Landsat 8 (2014) dan Landsat 9 (2023). Hasil penelitian menunjukkan adanya peningkatan kekritisan cukup signifikasan sebesar 50% terjadi pada area sangat kritis seluas 1.447,74 ha. Sebaliknya terjadi penurunan pada area tidak kritis sebesar 35% atau seluas 1.029,16 ha dan pada area kritis sebesar 15% atau seluas 418,58 ha. Faktor yang paling berpengaruh terhadap kekritisan lingkungan adalah NDBI.
Development of a Drill-and-Practice Chatbot for Enhancing English Pronunciation through Interactive Dialogue Exercises Iskandar, Aysha Alia; Megasari, Rani; Nazir, Shah; Riza, Lala Septem
Jurnal Paedagogy Vol. 12 No. 4 (2025): October (IN PROGRESS)
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v12i4.17760

Abstract

This study aims to implement a drill and practice-based chatbot to improve English speaking skills, particularly in the aspect of pronunciation. The research employed a mixed-methods approach by combining the Research and Development (ADDIE) model with a quasi-experimental design using a pretest-posttest control group pattern. The participants consisted of 76 eighth-grade students from SMPN 5 Cirebon, divided into experimental and control groups. The instruments used included a pronunciation assessment rubric based on the Cambridge English Linguaskill Speaking Global Assessment Criteria, observation sheets, and student perception questionnaires. Data analysis was conducted through normality tests, the Wilcoxon Signed Rank Test, the Mann-Whitney U Test, and N-Gain calculation, complemented by qualitative analysis from observations and questionnaires. The findings revealed that the use of a drill and practice-based chatbot had a positive impact on improving students' pronunciation skills, although the improvement achieved remained merely in the low category, with an N-Gain score of 0.25. The chatbot was proven to provide broader, more flexible, and personalized practice opportunities for students, as well as facilitate instant feedback that is difficult to obtain in conventional learning. These results indicate that chatbots can serve as an effective supplementary medium in English language learning, particularly for practicing pronunciation both independently and in integration with classroom learning, suggesting the potential for further development and integration of chatbot technology in language education.
Co-Authors Al Husaeni, Dwi Fitria Lala Septem Riza Nazir, Shah Rani Megasari Sahidin, M. Zaenal Iskandar Wahyudin, W.