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All Journal Journal of English Education, Linguistic and Literature Merpati Jurnal Kecerdasan Buatan dan Teknologi Informasi
Widia Resdiana
Universitas Logistik dan Bisnis Internasional
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media

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Implementing Online English Training Program to Improve Teachers’ English Proficiency And Webcam Monitoring Based Tests at a Vocational High School in Bandung, Indonesia Widia Resdiana; Sari Armiati; Dewi Selviani Yulientinah; Nyi Raden Nuraini Siti Fathonah; Widia Resdiana
Merpati: Media Publikasi Pengabdian Kepada Masyarakat Politeknik Pos Indonesia Vol. 4 No. 1 (2022): Merpati
Publisher : LPPM Politeknik Pos Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36618/merpati.v4i1.2400

Abstract

This Community Service Program at a state vocational high school in Bandung, Indonesia, aims to improve teachers’ English proficiency by conducting English training and the improvements are seen from the pre test and post test of a standardized test namely TOEFL-like. The participants who undertook those tests were 28 teachers coming from different fields of background and they had trainings of TOEFL materials such as Listening, Structure and Written Expressions, and Reading for approximately 24 hours. To find out the significant results of the training, the data from the TOEFL score were analyzed using pre-experiment one group pretest and posttest design. The results of the Program are that the activities of socialization, tests, and trainings were carried out successfully and right on schedule, and the training given to the participants has brought impacts to the increase of the participants’ skill as the score of post test improved significantly. However, some room for improvements in the future is suggested as the result of the questionnaire, such as enriched training materials and longer activities. As for the instructors, they need to improve the elements of enthusiasm and interest during delivering the materials, demonstrating and mastering the training material for future activities.
DESIGNING ENGLISH LANGUAGE TESTING USING A WEB-BASED MONITORING PLATFORM Widia Resdiana; Dewi Selviani Yulientinah
JEELL (Journal of English Education, Linguistics and Literature) English Departement of STKIP PGRI Jombang Vol 9, No 2 (2023)
Publisher : STKIP PGRI Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32682/jeell.v9i2.2838

Abstract

As the learning activities were switched to online because of the COVID-19 pandemic, changes in the way of learning also affects the facilities used both in the learning and the test activities. This situation requires language test developers to think more creatively to make the test online and to provide safe environment for the test without compromising the validity of the test. This paper aims to describe the steps of choosing the appropriate application used for the online language test, trials of the test, and the user manual made for the test. So, it requires new guidelines and new way of proctoring the online language tests. There are 4 steps that accommodate the needs, 1) Technology Selections, 2) User Manual Making, 3) Trials, and 4) Question Making. The process of designing a language assessment following the steps sends a platform suitable for the needs. Because of the restrictions from the COVID-19 , the platform can provide a valid and safe environment for the language testing because it was conducted based on web monitoring. Then, the platform can provide webcam monitoring and variations of questions in language assessment, such as audio for listening tests. User Manuals help the test taker in understanding on how to access the platform, and the trials made it more comprehensive. From the questionnaiers, it can be concluded that the platform help to solve the problems and the test can be conducted without problematic issues.
PENGEMBANGAN SISTEM REKOMENDASI KOPI DENGAN METODE COLLABORATIVE FILTERING BERBASIS WEBSITE Muhamad Brillian Haikal; Saepudin Nirwan; Widia Resdiana
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v4i3.371

Abstract

Perkembangan industri kopi yang pesat menimbulkan tantangan bagi pembeli dalam memilih menu yang sesuai dengan preferensi mereka, terutama ketika banyaknya variasi menu tidak diimbangi dengan sistem pendukung yang memadai. Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi kopi berbasis website dengan metode item-based collaborative filtering, yang memanfaatkan data riwayat pembelian dan rating untuk menyarankan menu kopi yang relevan. Sistem ini diimplementasikan pada website All The Time Caffe, yang sebelumnya hanya memiliki fitur dasar seperti login, pemesanan, dan pengiriman struk melalui WhatsApp. Dengan sistem yang dikembangkan, pengguna dapat menyaring rekomendasi berdasarkan kategori kopi (seperti Coffee Classics, Iced Coffee, dan Tea & Non-Coffee), rentang harga, dan rating minimum yang diinginkan. Teknologi yang digunakan mencakup NextJS sebagai antarmuka pengguna dan Python untuk pengolahan data serta perhitungan algoritma. Hasil pengujian menunjukkan bahwa sistem dapat memberikan rekomendasi secara tepat sesuai preferensi pengguna serta meningkatkan efisiensi layanan di kafe. Selain itu, sistem ini juga bermanfaat bagi pelaku usaha kecil dan menengah (UMKM) dalam memahami perilaku konsumen serta meningkatkan loyalitas pembeli. Dengan demikian, sistem rekomendasi ini diharapkan mampu mendorong inovasi berbasis teknologi disektor kuliner, khususnya dalam industri kopi.
Co-Authors Dewi Selviani Yulientinah Muhamad Brillian Haikal Nyi Raden Nuraini Siti Fathonah Saepudin Nirwan Sari Armiati Widia Resdiana