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Efektifitas Pembelajaran Daring dan Tingkat Ketercapaian Mutu pada Masa Pandemi Covid-19 di Universitas Jambi Fortunasari, Fortunasari; Syamsurizal, Syamsurizal; Adrefiza, Adrefiza; Kurniawan, Dedy
Lembaran Ilmu Kependidikan Vol 50, No 1 (2021): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/lik.v50i1.29336

Abstract

Dalam masa pandemi Covid-19 penyelenggaran pembelajaran daring telah berjalan pada semester genap tahun akademik 2019/2020. Penelitian ini bertujuan untuk memonitor efektifitas  pembelajaran daring di Universitas Jambi dan dampaknya terhadap pencapaian standar mutu Unja. Metode penelitian yang dilakukan melalui survey deskriptif dan evaluatif dimana populasinya adalah seluruh dosen dan mahasiswa yang terdaftar pada semester genap tahun akademik 2019/2020. Hasil penelitian menunjukkan sebanyak 403 dosen menganggap 72% telah berjalan dengan baik dari aspek teknologi(75%), pedagogi(67%), etika(79%), dukungan fasilitas(68%), evaluasi(67%) dan desain interface(68%) sedangkan dari sisi mahasiswa sebanyak 7806 orang memperlihatkan 70% pembelajaran daring  telah berjalan efektif bila ditinjau dari aspek praktikalitas(65%),interaktifitas (62%),sumber belajar lain (74%), berkolaborasi (68%), keotentikan (73%) dan kontrol belajar (80%). Kemudian dampaknya terhadap pencapaian standar mutu Unversitas Jambi pada kompetensi lulusan termasuk kategori kompeten dalam literasi data (67%), teknologi(80%) dan humanistik (69%). Selain itu efektifitas pemenuhan standar isi sudah sesuai CPL (79%), pencapaian standar proses kategori baik (40%)  dan ketercapaian CPL(70%) .Kata Kunci: daring, covid-19,efektifitas, dampak, standar
A Study of Student Teachers` Literacy and Challenges in Using Technology for English Language Teaching Ahmad Syauqi Harsyah; Dedy Kurniawan; Lilik Ulfiati
IJER (Indonesian Journal of Educational Research) Vol. 7 No. 2 (2022): IJER Vol 7 No 2 2022
Publisher : Universitas Islam Negeri (UIN) Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/ijer.v7i2.215

Abstract

Technology has played an important role in human life including education. Teachers in this century are required to have technology skills for language teaching. However, in order to understand their level of literacy and challenges faced in implementing technology a study is required. The present study investigated student teacher`s literacy and challenges in using technology. This research was conducted by using mix method with sequential explanatory design. Sixty-one students of the seventh semester of English study program Universitas Jambi were selected as the participant in this research. In the quantitative phase Researchers used survey to collect the data to measure their experience, views, and literacy on technology using a likert scale of one to five. In the qualitative phase, the data were collected using interview towards eighth students are selected purposively from the high score and low score and analyze it by using content analysis. The survey showed that the participating student teachers have: 1) adequate experiences in using technology(x=3.66), 2). Positive views on technology(x=3.56), 3).average literacy on technology(x=3.87). The results of the interview showed some challenges faced by student teachers in implementing technology, The lack of facilities is the biggest challenge. The implication of the research is also discussed
Exploring an Entrepreneurial Prospective of English Language to Promote Muaro Jambi Temple Nyimas Triyana Safitri; Hidayati; Dedy Kurniawan; Friscilla Wulan Tersta
Indonesian Journal Of Educational Research and Review Vol. 6 No. 1: April 2023
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijerr.v6i1.53887

Abstract

Many of our cultural assets have been lost as a result of not being adequately protected. One way to prevent this situation is to carry out effective conservation at the educational level. This study aims to develop learning model to be implemented to promote a tourist destination of Candi muaro jambi as one of the cultural heritages. Research and Development with ADDIE model is used in this study. ADDIE model consist of analysis, design, development, implementation, and evaluation.  This research involved the local communities where this program was implemented, five students and five English Lecturers of the English Study Program. There are three main research instruments, the fifth semester course documents of the English Study Program, field survey and interview. Data were analysed using qualitative techniques. The result reveals three prospective schemes of English language needed by local people to endorse Candi Muaro. They are daily talk of English language training for local communities, technological utilization for tourist publication and promotion, and English tour guiding Instruction. It is expected these outcomes can accelerate the development of Candi Muaro Jambi to be well-promoted and it is further recommended to explore more about other outlooks of Candi Muaro Jambi to be famous to all over the countries around the world.
Pelatihan Entrepreneurship Berbasis Keterampilan Menulis Cerpen dengan Metode “Showing Not Telling” bagi Siswa MAN Insan Cendikia Jambi: Entrepreneurship Training Based on Short Story Writing Skills Using ‘the Showing Not Telling” Method for MAN Insan Cendikia Jambi Hidayati, Hidayati; Sartika, Delita; Al Arif, Tubagus Zam Zam; Armiwati, Armiwati; Kurniawan, Dedy
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 11 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i11.7955

Abstract

Several writing achievements have been achieved by students of Madrasah Aliyah Negeri (MAN) Insan Cendikia Provinsi Jambi, namely 1st place in the 2018 National level Poetry Writing Competetion, 2020 National Level Essay Competition, Critical Essay Writing Finalist, 3rd place in the 2021 Balitbangda Scientific Writing Competition. Seeing their potential, the community service team held creative writing training and one of them is short story writing. This community service program aims to improve students’ ability to write short stories. This community service activity which was attended by 120 students were carried out through training and mentoring for students using the “Showing Not Telling” method. The outputs of this community service are students’ short stories of MAN Insan Cendikia Provinsi Jambi uploaded in the Padlet.
PELATIHAN PEMANFAATAN APLIKASI TEKNOLOGI SEBAGAI MEDIA PEMBELAJARAN DIGITAL BAGI GURU SEKOLAH MENENGAH KABUPATEN MUARO JAMBI Kurniawan, Dedy; Hidayati, Hidayati; Al Arif, Tubagus Zam Zam; Sartika, Delita; Handayani, Reli
PEDAMAS (PENGABDIAN KEPADA MASYARAKAT) Vol. 3 No. 04 (2025): JULI 2025
Publisher : MEDIA INOVASI PENDIDIKAN DAN PUBLIKASI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pesatnya perkembangan dan kemajuan teknologi saat ini berdampak pada peningkatan jumlah pengguna information and communication technology (ICT). Perkembangan teknologi tersebut melahirkan berbagai macam aplikasi yang dapat dimanfaatkan dalam konteks pembelajaran. Namun, perkembangan teknologi tersebut tidak dibarengi dengan peningkatan kompetensi guru dalam mengintegrasikan teknologi terhadap pembelajaran. Kondisi ini disebabkan karena guru kurang termotivasi dan tidak mendapatkan pengetahuan serta skills yang cukup untuk memanfaatkan aplikasi-aplikasi pembelajaran tersebut. Kegiatan pelatihan yang dilaksanakan ini bertujuan untuk meningkatkan kompetensi guru dalam memanfaatkan Aplikasi Teknologi sebagai media pembelajaran digital sekaligus menghasilkan artikel ilmiah sebagai hasil dari pengabdian kepada masyarakat yang dilakukan. Pelatihan ini dilaksanakan secara tatap muka di sekolah menengah negeri di Kabupaten Muaro Jambi dengan agenda dan materi yang telah disiapkan oleh tim pengabdian. Jumlah peserta yang hadir dalam pelatihan ini sebanyak 50 orang guru yang berasal dari 4 sekolah berbeda yang berada di sekitar tempat pelaksanaan kegiatan. Materi pelatihan berupa praktik penggunaan aplikasi pembelajaran yaitu H5P. Hasilnya yaitu adanya peningkatan keterampilan peserta dalam mengembangkan media pembelajaran digital.
Revisiting E-Portfolio in Higher Education: English Language Education Students’ Point of View Kurniawan, Dedy; Anastasia, Indri; Efriza, Dony; Rahmadani, Mutia
NOBEL: Journal of Literature and Language Teaching Vol. 16 No. 1 (2025): APRIL (On Progress)
Publisher : Universitas Islam Negeri Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/NOBEL.2025.16.1.50-73

Abstract

This study aims to explore the implementation of portfolio in higher education, particularly in an English Language Education Department in Indonesia. Mixed method with concurrent combination was selected. Quantitative data were collected with a questionnaire (n = 74), while qualitative data were collected by three FGDs sessions (n= 21). The quantitative data were analyzed using descriptive statistics, while the qualitative data were analyzed thematically. These data were then interpreted simultaneously and four key themes were generated from the data: 1) Superficial understanding and skills in using portfolio, 2) Scarce and Partial Implementation of e-Portfolio, 3) Digital Technology as a Norm in Portfolio Implementation, and 4) Internalized Positive Views on Portfolio Implementation. These findings have shed light on the implementation of e-portfolio in this institution. Some recommendations were offered in order to improve its future implementation.
NAVIGATING CHALLENGES: STUDENT TEACHERS’ EXPERIENCES IN TEACHING ENGLISH TO YOUNG LEARNERS AT KAMPUS MENGAJAR Apriani, Meissy Anis; Kurniawan, Dedy; Anastasia, Indri
Journal of Research on Language Education Vol 6, No 1 (2025): JORLE Vol. 6 No. 1
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jorle.v6i1.5041

Abstract

This qualitative research aims to describe the challenges faced by student teachers from the English Department during the Kampus Mengajar program and the strategies they employed to overcome those challenges. The study utilized a qualitative method with a case study approach to conduct an in-depth investigation. The research involved four participants, with two enrolled in Kampus Mengajar Batch 6 and the other two in Batch 7. Data were collected through semi-structured interviews with the participating student teachers and supporting documentation. Thematic analysis by Braun and Clarke was employed to analyze the data. The findings revealed that participants encountered several challenges while teaching English to young learners, which were categorized into challenges arising from the school environment and those stemming from the student teachers themselves. The study also identified various strategies used to address these challenges, including self-management strategies, strategies tailored to student characteristics, and varying teaching strategies. Additionally, the findings suggested that student teachers require guidance from lecturers to ensure that the strategies they implement align with the demands of Teaching English to Young Learners (TEYL) coursework.
Integrating Aspect-Based Sentiment Analysis with CSI–IPA for Telecommunications App Development Marshella, Siti Hariza; Kurniawan, Dedy; Oktadini, Nabila Rizky; Sanjaya, Rudi; Sevtiyuni, Putri Eka; Gumay, Naretha Kawadha Pasemah
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1363

Abstract

This study integrates Aspect-Based Sentiment Analysis with Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to determine priority development features in digital service applications in the telecommunications sector. A total of 10,000 MyIM3 user reviews were analyzed using sentiment analysis with Pseudo-labeling and Fine-Tuned IndoBERT, then from the results of the analysis, negative sentiment was mapped into several topics using LDA. The topic is used to compile question indicators based on the five dimensions of SERVQUAL. After the questionnaire data is declared valid and reliable, CSI and IPA analysis is carried out. A CSI value of 79.22% indicates that user satisfaction is in the "borderline" category, but several aspects still need to be improved, especially system updates (RS3), application attention to user needs (E2), and feature personalization (E3) which are in quadrant I (Concentrate Here). This hybrid approach offers novelty by demonstrating how ABSA and LDA can be systematically integrated with CSI and IPA to provide more comprehensive and user-oriented insights. The limitations of this study include focusing on negative sentiment data for feature exploration, as it is most relevant for identifying problems and opportunities for improvement and development of telecommunication digital services.
Sentiment and Topic Analysis of Digital Community Application Gamer Reviews using SVM-LDA and CRISP-DM Ary Pratama, Muhammad Mayda; Kurniawan, Dedy; Rifai, Ahmad; Tania, Ken Ditha
Sistemasi: Jurnal Sistem Informasi Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i1.5746

Abstract

Impatient behavior among gamers is often reflected in sharp and emotionally charged digital reviews, particularly in the use of community applications such as Discord. This study explores expressions of impatience through sentiment and topic analysis. By adopting the CRISP-DM framework, a total of 10,000 Indonesian-language reviews collected from the Google Play Store were analyzed. The analytical process begins with sentiment labeling using IndoBERT, followed by polarity classification using the Support Vector Machine (SVM) algorithm, and topic exploration through the Latent Dirichlet Allocation (LDA) method. The results indicate that 57.4% of the reviews express positive sentiment, primarily related to voice communication quality and community interaction features. In contrast, 42.6% of the negative reviews commonly convey frustration regarding login issues and verification processes. The SVM model optimized using Bayesian Optimization achieved an accuracy of 90.46%. This study highlights that Discord serves not only as a communication platform but also as a reflection of users’ high expectations for system speed and stability. The main contribution of this research lies in the integration of SVM–LDA methods within the CRISP-DM framework to better understand the digital behavior of Indonesian gamers. The practical implications of these findings provide strategic insights for developers to improve authentication reliability and community features in alignment with user characteristics.
Performance Analysis of YOLO, Faster R-CNN, and DETR for Automated Personal Protective Equipment Detection Naufaldihanif, Rihan; Kurniawan, Dedy; Tania, Ken Ditha
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11593

Abstract

Automated monitoring of Personal Protective Equipment (PPE) is crucial for enhancing safety in high-risk environments like construction sites, yet selecting the optimal detection model requires careful evaluation of accuracy versus efficiency trade-offs. This study presents a comparative performance analysis across distinct object detection paradigms represented by YOLO (YOLOv8, YOLOv11n), Faster R-CNN, and DETR to benchmark their suitability for real-time PPE detection. However, this study moves beyond a simple technical benchmark by also proposing a logical process to transform raw model detections (e.g., 'person', 'hardhat') into actionable compliance verification information (e.g., 'Compliant'/'Non-Compliant'). Using a curated construction site safety dataset, models were evaluated based on standard accuracy metrics (including mAP@.5:.95) and efficiency measures (inference latency). Results indicate that DETR and YOLOv11n achieved the highest overall accuracy with an identical mAP@.5:.95 of 0.770, closely followed by YOLOv8 (0.763), while the YOLO family demonstrated significantly superior real-time efficiency (6-7 ms latency). Faster R-CNN recorded a lower mAP (0.703) and the highest latency. Conclusively, YOLOv11n offers the most compelling balance for the detection phase, and the proposed logical process provides a practical method for integrating this technical output into automated safety monitoring systems.