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All Journal JIKO (Jurnal Informatika dan Komputer) JournEEL (Journal of English Education and Literature)
Saptin Dwi Setyo Hastuti
Sekolah Tinggi Pariwisata AMPTA Yogyakarta
Computer Science & IT Education

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Exploring Learners' Learning Styles Preferences: Finding Out the Best Way to Teach ESP Saptin Dwi Setyo Hastuti
JournEEL Vol 4 No 1 (2022): JournEEL (Journal of English Education and Literature)
Publisher : STKIP PGRI SIDOARJO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51836/journeel.v4i1.304

Abstract

One important key to successful English for Specific Purposes (ESP) is through managing the classrooms. Identifying learners’ learning style preferences can assist teachers in creating a learning environment that is appropriate for the learners. The aim of this study is to explore learners’ learning styles and their impacts on the teaching of ESP. This study involved 284 learners from three different departments, i.e., the tour and travel business department, the tourism department, and the tourism department. The data was collected by using Reid’s Perceptual Learning Styles Preferences Questionnaire (PLSQ). This questionnaire divided learning styles into 4 categories, i.e., auditory, kinaesthetic, visual, and tactile learning styles. It also divided the learning styles into two, i.e., group and individual. This study revealed that most learners were auditory and kinaesthetic learners. Only a few learners were visual and tactile learners. This study also reveals that most learners preferred to work in groups rather than work individually. Considering these findings, learners must participate in determining the activities and environment for teaching a learning process to avoid mismatching between learners’ learning styles and teaching-learning methods. This study offers six recommendations that can be used as a guideline when conducting ESP in the various learning styles preferences.
Prediksi Kunjungan Wisatawan Mancanegara Di Bandara Ngurah Rai Tahun 2025 Menggunakan Model ARIMA Musiman Robertus Saptoto; Saptin Dwi Setyo Hastuti; Na'umi Berliana; priasnita Siswani
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 2 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i2.1927

Abstract

Penelitian ini bertujuan untuk memprediksi kunjungan wisatawan mancanegara di Bandara Ngurah Rai, Bali, pada tahun 2025 menggunakan model ARIMA musiman (1,1,1)x(1,1,1,12). Data historis kunjungan bulanan dari tahun 2008 hingga 2024 (sekitar 61,17 juta kunjungan) yang bersumber dari Badan Pusat Statistik (BPS) diolahmenggunakan Python, dengan langkah interpolasi nilai hilang dan koreksi anomali pandemi sebesar 50% dari rata-rata kunjungan 2015–2019. Hasil prediksi menunjukkan sekitar 6,6 juta kunjungan pada 2025, denganpuncak pada Juli (sekitar 650 ribu, atau 21,7 ribu/hari) dan Desember (sekitar 630 ribu). Uji ADF (p-value < 0,05) dan Ljung-Box (p-value 0,12) memvalidasi model. Ngurah Rai diprediksi melampaui Soekarno-Hatta (sekitar 3,3 juta kunjungan), mencerminkan daya tarik Bali yang konsisten dengan tren global. Prediksi ini mendukung perencanaan kapasitas bandara dan strategi promosi musiman, khususnya pada Juli, melalui festival budaya dan diskon penerbangan. Analisis ini memperkuat peran informatika dalam pengambilan keputusan pariwisata berkelanjutan.
Co-Authors Na&#039;umi Berliana priasnita Siswani Robertus Saptoto