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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) IJISTECH (International Journal Of Information System & Technology) Jurnal Tunas IJISTECH
Sucinta, Hanny Handayani
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Arts Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Pembelajaran Dasar Microsoft Office Untuk Pengabdian Masyarakat Di SMP Muhammadiyah 1 Kalasan Yogyakarta Mukrim, Abdul; Sucinta, Hanny Handayani; Mujahidah, Latifatul; Sumarsono, S
Jurnal TUNAS Vol 6, No 1 (2024): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v6i1.120

Abstract

This Community Service Program aims to enhance basic Microsoft Word skills among students of SMP Muhammadiyah 1 Kalasan, Yogyakarta. The program involved 24 students from grades VII and VIII through several stages, including needs assessment, preparation, training, and evaluation. The training focused on introducing basic features, hands-on practice, and creating simple documents such as reports and tables. The methods employed included participatory approaches and practice-based learning to effectively improve students' understanding and skills. Evaluation was conducted through direct observation and assessment of the documents produced by the students. The program results showed significant improvement in students' understanding and ability to use Microsoft Word, particularly in supporting their academic activities. Additionally, the program succeeded in encouraging students to be more confident in utilizing technology for learning. Thus, this program is expected to serve as an initial foundation for strengthening students' technology literacy while providing long-term benefits in supporting educational needs in the digital era. The impact of this activity is also expected to inspire the implementation of similar programs in the future to enhance technological competencies at other educational levels.
The Development of a Web Profile System for SMK N 1 Singingi Hilir Using the Prototyping Method Sucinta, Hanny Handayani; Mahmuda, Muhimmatul; Mujahidah, Latifatul; Sugiantoro, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.395

Abstract

The development of a web-based information system for the school profile is a strategic step in improving the accessibility of information and interaction between the school and the community, particularly prospective students and parents. This study aims to develop a web profile system for SMK N 1 Singingi Hilir by applying the Prototyping method, so that the system can be developed based on user feedback during the design process. This system presents comprehensive information about the school profile, expertise programs, facilities, student activities, and other important information. With the Prototyping approach, system development is carried out iteratively by building an initial prototype, which is then improved based on user evaluations. The result of this development is expected to enhance school promotion as well as transparency and efficiency in delivering information.
The Development of a Web Profile System for SMK N 1 Singingi Hilir Using the Prototyping Method Sucinta, Hanny Handayani; Mahmuda, Muhimmatul; Mujahidah, Latifatul; Sugiantoro, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.395

Abstract

The development of a web-based information system for the school profile is a strategic step in improving the accessibility of information and interaction between the school and the community, particularly prospective students and parents. This study aims to develop a web profile system for SMK N 1 Singingi Hilir by applying the Prototyping method, so that the system can be developed based on user feedback during the design process. This system presents comprehensive information about the school profile, expertise programs, facilities, student activities, and other important information. With the Prototyping approach, system development is carried out iteratively by building an initial prototype, which is then improved based on user evaluations. The result of this development is expected to enhance school promotion as well as transparency and efficiency in delivering information.
A Hybrid Classification Model Based on BERT for Multi-Class Sentiment Analysis on Twitter Uyun, Shofwatul; Rosalin, Rizqi Praimadi; Sari, Luky Vianika; Sucinta, Hanny Handayani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i2.30665

Abstract

Social media is one of the media to convey opinions and sentiments. Sentiment analysis is an important tool for researchers and business people to understand user emotions efficiently and accurately. Choosing the right classification model has a significant impact on sentiment classification performance. However, the diversity of model architectures and training techniques poses its own challenges. In addition, relying on a single classification model often causes noise, bias, data imbalance, and limitations in handling data variations effectively. This study proposes a hybrid classification model where BERT is the baseline. Furthermore, BERT will be hybridized using LSTM, and BERT is hybridized with CNN to improve sentiment analysis on Twitter social media data. The hybrid approach aims to reduce the limitations of a single model classifier by increasing model effectiveness, reducing bias, and optimizing the model on imbalanced data. The following are the steps in this study, data preprocessing, data balancing, tokenization, model training, and performance evaluation. Three models were trained: the baseline BERT model, the BERT-CNN hybrid, and the BERT-LSTM hybrid. Model performance was assessed using accuracy, precision, recall, and F1 score. Experimental results show that the baseline BERT model achieves an accuracy of 91.45%, while BERT-LSTM achieves 91.60%, and BERT-CNN achieves the highest accuracy of 91.80%. However, further analysis is needed to determine whether these improvements are statistically significant and whether the hybrid model offers additional benefits beyond accuracy, such as remembering underrepresented sentiment categories.
Co-Authors Bambang Sugiantoro Mahmuda, Muhimmatul Mujahidah, Latifatul Mukrim, Abdul Rosalin, Rizqi Praimadi S Sumarsono Sari, Luky Vianika Shofwatul ‘Uyun