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All Journal IJISTECH (International Journal Of Information System & Technology) Journal Sensi: Strategic of Education in Information System IJISTECH Journal Collabits
Dendy Jonas Managas
Universitas Raharja
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

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An Application-Based Online Learning Readiness Study During The Covid-19 Pandemic (Case Study of High School / Vocational High School Students in Tangerang, Banten, Indonesia) Dendy Jonas Managas; F Ferry; Arsi Yulianjani; Dedy Prasetya Kristiadi
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.191

Abstract

The impact of COVID-19 on learning activities in Indonesia has caused problems for students. Research that has been conducted on the failure of pedagogic delivery by teachers and difficulties in adapting to the use of technology and learning models, cannot be used as references and conclusions. The need to conduct research and literature studies becomes urgent to obtain accurate, reliable and up-to-date information. The research, which was conducted in vocational high schools and high schools in Tangerang district, was related to the readiness of students to learn about conditions during the pandemic and the learning tools used. The results of the study from this research are that there are differences in learning readiness, namely that senior high schools are more prepared than vocational schools. To find out the difference in online learning readiness, the statistical analysis used is ANOVA (analysis of Variance), the calculation uses the help of the SPSS version 20.00 application. Furthermore, this research will be a reference for education providers to innovate learning methods so that students can better participate in the learning process during the pandemic without reducing the quality of learning outcomes
An Application-Based Online Learning Readiness Study During The Covid-19 Pandemic (Case Study of High School / Vocational High School Students in Tangerang, Banten, Indonesia) Dendy Jonas Managas; F Ferry; Arsi Yulianjani; Dedy Prasetya Kristiadi
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.937 KB) | DOI: 10.30645/ijistech.v5i6.191

Abstract

The impact of COVID-19 on learning activities in Indonesia has caused problems for students. Research that has been conducted on the failure of pedagogic delivery by teachers and difficulties in adapting to the use of technology and learning models, cannot be used as references and conclusions. The need to conduct research and literature studies becomes urgent to obtain accurate, reliable and up-to-date information. The research, which was conducted in vocational high schools and high schools in Tangerang district, was related to the readiness of students to learn about conditions during the pandemic and the learning tools used. The results of the study from this research are that there are differences in learning readiness, namely that senior high schools are more prepared than vocational schools. To find out the difference in online learning readiness, the statistical analysis used is ANOVA (analysis of Variance), the calculation uses the help of the SPSS version 20.00 application. Furthermore, this research will be a reference for education providers to innovate learning methods so that students can better participate in the learning process during the pandemic without reducing the quality of learning outcomes
MANAJEMEN JARINGAN NIRKABEL UNTUK PENINGKATAN KUALITAS LAYANAN PENDIDIKAN DI SETIAP KAMPUS Dendy Jonas Managas; Fredy Susanto; Tatu Solihat
Journal Sensi: Strategic of Education in Information System Vol 3 No 2 (2017): Journal Sensi
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.347 KB) | DOI: 10.33050/sensi.v3i2.767

Abstract

Kemajuan teknologi saat ini sudah merambah ke berbagai aspek dalam kehidupan sehari-hari, termasuk dalam dunia pendidikan, salah satunya adalah penggunaan konsep ilearning, dimana kegiatan pendidikan dapat diakses melalui internet.. Dengan penggunaan perangkat nirkabel yang memungkinkan pengaksesan ke materi pendidikan. kegiatan ini berjalan dengan baik dengan penggunaan hotspot di area kampus yang memungkinkan mahasiswa mengakses jaringan ilearning. Pengembangan terhadap jaringan nirkabel secara cepat berubah menjadi hotspot yang tersentralisasi untuk melakukan konfigurasi secara menyeluruh, tetapi pembatasan akses ke hotspot masih perlu ditingkatkan untuk menjaga performa dan kualitas metode ini. untuk itulah penulis merancang sebuah aplikasi yang mengatur penjadwalan terhadap hotspot dengan data pengguna dan kelas sehingga menghasilkan sebuah konfigurasi hotspot yang dinamis.
Comparative Analysis of Public Sentiment Towards Sri Mulyani and Purbaya as Finance Ministers on the X Platform Using the Indobertweet Model Muhammad Aryaka Zamzami; Siti Maesaroh; Dendy Jonas Managas
Journal Collabits Vol. 3 No. 1 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i1.37962

Abstract

The development of social media has positioned platform X (Twitter) as a primary source for expressing public opinion toward government figures and policies. This study aims to analyze public sentiment toward two Indonesian public figures, Sri Mulyani Indrawati and Purbaya Yudhi Sadewa, by utilizing the transformer-based IndoBERTweet model. The data were collected from January 1, 2025, to November 1, 2025. A total of 11,000 tweets related to Sri Mulyani were collected; however, only 2,500 tweets were used for data processing and model training, with a maximum limit of 1,000 tweets per month. Meanwhile, 650 tweets were obtained for Purbaya Yudhi Sadewa. This research employs a supervised learning approach with labeled data consisting of positive, negative, and neutral sentiment classes. Minimal preprocessing was applied, considering that IndoBERTweet is specifically designed to handle the characteristics of social media text. The model was trained for five epochs and evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the IndoBERTweet model can classify sentiment effectively, particularly on the Sri Mulyani dataset, which contains a larger volume of data and achieves an accuracy of over 82%. In contrast, the model’s performance on the Purbaya Yudhi Sadewa dataset shows a lower accuracy of 71%, influenced by the limited amount of data. This study confirms that the quantity and distribution of data significantly affect the performance of transformer-based sentiment analysis models. Based on the sentiment classification results, public sentiment toward Sri Mulyani Indrawati tends to be dominated by negative and neutral sentiments, while sentiment toward Purbaya Yudhi Sadewa shows a distribution dominated by neutral and positive sentiments.
Co-Authors Arsi Yulianjani Dedy Prasetya Kristiadi F Ferry Fredy Susanto Muhammad Aryaka Zamzami Siti Maesaroh Tatu Solihat