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Development of a Village Information System for Acceleration of Village Services in Desa Tegal Kecamatan Kemang Bogor Ardiansyah, Deden; Harsani, Prihastuti; Tosida, Eneng Tita; Saputra, Abimanyu Oki; Bhayangkari, Andhika
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1113

Abstract

The Village Information System (SID) is an information system that changes raw data into ready-to-use information. In addition, SID will provide convenience to village officials in providing services to the community. The development of this SID is expected to be able to provide acceleration and improve the performance of village officials in terms of service quality to the community, productivity, responsiveness, responsibility and productivity. The development of a village information system in service activities in Tegal village is a transformation from manual to computerized, so systematic efforts are needed in the preparation involving subjects, objects and methods related to the transformation process. The development of the village information system uses the software development life cycle (SDLC). Efforts to control the quality of the Tegal Village Information System use four characteristics of ISO 9126, to know that the parts in the application system have correctly displayed error messages if an error occurs in inputting data.The result of this service activity is that every Village Apparatus can understand the material that has been submitted and can practice the results of the village administration work in a computerized manner based on the Village Information System.
Sentiment Analysis of Electric Vehicles on Social Media Using Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM): BERT, LSTM, Sentiment Analysis, Electric Vehicles , Social Media Muhammad Fadhillah Harahap; Yusma Yanti; Prihastuti Harsani
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 1 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika.
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i1.88

Abstract

Electric vehicles (EVs) are widely recognized as an environmentally sustainable alternative capable of reducing greenhouse gas emissions; however, their adoption in Indonesia remains limited. Data from the Indonesian Ministry of Transportation, as recorded in the Type Approval Registration System (SRUT), indicate that approximately 195,084 Battery Electric Vehicles (BEVs) were registered nationwide by early 2024. This study investigates public sentiment toward electric vehicles using social media data from X, Instagram, and TikTok, while also comparing the effectiveness of two text classification approaches: Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM). A total of 5,172 Indonesian-language comments were collected through crawling and scraping techniques using electricvehicle-related keywords over the period January 2021 to January 2025. The comments were categorized into five sentiment classes: very positive, positive, neutral, negative, and very negative. The analytical process followed the Knowledge Discovery in Databases (KDD) framework, including data preprocessing, transformation, classification, and evaluation using a confusion matrix. The results indicate that IndoBERT substantially outperformed LSTM, achieving an accuracy of 91% compared to 36% for LSTM. Sentiment analysis reveals a dominance of negative and very negative opinions, primarily reflecting public concerns regarding cost, performance, and maintenance of electric vehicles. These findings offer important insights for policymakers and the automotive industry in designing targeted promotion strategies, improving public awareness, and strengthening supporting infrastructure. Future research is encouraged to explore data augmentation techniques to improve model performance, particularly for deep learning models such as LSTM, in order to better support evidence-based electric vehicle adoption policies.
Empowerment of Gunung Sari Village Community Groups, to optimize the potential of the village towards the Tourism Independent Village Prihastuti Harsani
International Journal of Quantitative Research and Modeling Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i2.38

Abstract

The tourism sector in Gunung Sari Village, Pamijahan District, Bogor Regency, is not the main sector in its community activities. The existence of natural tourism in the form of waterfalls, camping ground and hot springs is a potential for the village to realize the Bogor Regency Mission. Existing tour operators are not residents or village communities. The active participation of village communities has not been seen in the management, operational and maintenance of tourist attractions. The tour paramilitary group 20 can be an agent for villages to empower communities in the tourism sector. Srikandi Gunung Sari group is a community group that involves mothers and produces local food products in the form of banana chips and cassava. In an effort to increase the active participation of village communities in tourism activities in Gunung Sari Village, the empowerment of the Laskar Tourism Group 20 and Srikandi Gunung Sari was carried out through education, workshops, mentoring and facilitation activities. The main target of this activity is the village community who can independently manage, maintain and improve the tourism sector in Gunung Sari village towards a sustainable tourism independent village.
Development of a Probic-Based Training Management Framework to Enhance Teachers’ Digital Competence Iin Iryance; Rita Retnowati; Prihastuti Harsani
Pubmedia Jurnal Penelitian Tindakan Kelas Indonesia Vol. 3 No. 4 (2026): August
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ptk.v3i4.2886

Abstract

The rapid digital transformation in education requires teachers to develop adequate digital competencies to design and implement innovative, effective, and technology-enhanced learning. However, existing professional development programs remain predominantly conventional and have not sufficiently addressed teachers’ needs for sustainable digital competence development. This study aimed to develop a PROBIC (Project Bichronous)-Based Training Management Framework to enhance teachers’ digital competence. The study employed a Research and Development (R&D) method based on the Borg and Gall model, encompassing needs analysis, planning, product development, expert validation, limited field testing, product revision, operational field testing, and final product refinement. Data were collected through observations, interviews, questionnaires, documentation, and digital competence tests. The developed framework demonstrated a high level of validity, achieving validation scores of 98.66% from media experts, 100% from subject-matter experts, and 97% from training management experts, indicating that the framework was highly feasible for implementation. The implementation results also showed improvements in training effectiveness from 89.94% to 94.24%, participant responses from 88.20% to 90.72%, and teachers’ digital competence with an N-Gain score of 76.58%, categorized as effective. The framework particularly enhanced teachers’ digital literacy, the use of digital learning media, online collaboration, and digital content creation. These findings indicate that the PROBIC-Based Training Management Framework is a valid, practical, and effective model for strengthening teachers’ digital competence and supporting sustainable professional development in response to the challenges of digital transformation in education.