Ansyari, Atikah Rifdah
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Sentiment analysis based on Indonesian language lexicon and IndoBERT on user reviews PLN mobile application Asri, Yessy; Kuswardani, Dwina; Suliyanti, Widya Nita; Manullang, Yosef Owen; Ansyari, Atikah Rifdah
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp677-688

Abstract

PLN mobile application as an integrated platform for self-service among mobile consumers, facilitating easier access to various services, including receiving information such as public complaints. The application can be downloaded through the Google Play Store and App Store, and users can express their opinions through reviews and ratings. In this era of advanced technology, aspects such as reviews, ratings, and evaluations have important value for business practitioners. However, there are often inconsistencies between ratings and reviews that do not fully represent the quality of the application. In response, a study was conducted to analyze the sentiment of user reviews from January to June 2022, by collecting 1,000 review samples from the Google Play Store. The data was collected using web scraping techniques and then processed into a dataset through text pre-processing methods. Sentiments were analyzed using an automatic labeling method in Indonesian based on a lexicon known as INSET (Indonesia sentiment), which resulted in 482 positive reviews, 144 negative reviews, and 374 neutral reviews. The next step is classification using Indonesian bidirectional encoder representations from transformers (IndoBERT). In this process, the data was divided into testing, training, and validation sets with a ratio of 80:10:10. The analysis managed to achieve an impressive accuracy rate of 81%.
Word embedding for contextual similarity using cosine similarity Asri, Yessy; Kuswardani, Dwina; Sari, Amanda Atika; Ansyari, Atikah Rifdah
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 2: May 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i2.pp1170-1180

Abstract

Perspectives on technology often have similarities in certain contexts, such as information systems and informatics engineering. The source of opinion data comes from the Quora application, with a retrieval limit of the last 5 years. This research aims to implement Indo-bidirectional encoder representations from transformers (BERT), a variant of the BERT model optimized for Indonesian language, in the context of information system (IS) and information technology (IT) topic classification with 414 original data, which, after being augmented using the synonym replacement method, The generated data becomes 828. Data augmentation aims to evaluate the performance of models by using synonyms and rearranging text while maintaining meaning and structure. The approach used is to label the opinion text based on the cosine similarity calculation of the embedding token from the IndoBERT model. Then, the IndoBERT model is applied to classify the reviews. The experimental results show that the approach of using IndoBERT to classify SI and IT topics based on contextual similarity achieves 90% accuracy based on the confusion matrix. These positive results show the great potential of using transformer-based language models, such as IndoBERT, to support the analysis of comments and related topics in Indonesian.
PEMBERDAYAAN MASYARAKAT MELALUI INOVASI TEKNOLOGI: IMPLEMENTASI APLIKASI MO-TAMU UNTUK MENINGKATKAN KEAMANAN LINGKUNGAN Asri, Yessy; Kuswardani, Dwina; Emilia, Emilia; Suliyanti, Widya Nita; Ely, M. Jafar; Pramudya, Widi; Firmansyah, Esa; Fajri, Muhammad; Ansyari, Atikah Rifdah
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.21050

Abstract

Abstrak: Keamanan lingkungan di masyarakat menjadi fokus utama dalam kegiatan pengabdian kepada masyarakat di lingkungan RT 012 RW 016 Perumahan Bunga Raya, Bekasi. Untuk mendukung tujuan tersebut, diterapkan Mo-Tamu (Monitoring Tamu), sebuah aplikasi inovatif yang memberdayakan pengurus Rukun Tetangga, yang terdiri dari sepuluh orang pengurus dan lima orang petugas keamanan. Pendampingan dan pelatihan intensif dilakukan untuk memastikan efektivitas aplikasi dalam mengelola dan memantau tamu secara real-time melalui perangkat mobile guna meningkatkan keamanan warga. Serangkaian kegiatan, termasuk analisis kebutuhan, perencanaan, pengembangan, uji coba, dan evaluasi, telah dilaksanakan pada tahap I hingga tahap IV. Tahap analisis kebutuhan pada bulan September 2023 bertujuan memahami permasalahan di lapangan terkait monitoring keamanan. Tahap perencanaan menyusul, dengan merinci proses pengembangan aplikasi mobile berdasarkan kebutuhan yang telah diidentifikasi. Pengembangan aplikasi dilakukan pada tahap III dengan merujuk pada desain dan spesifikasi yang telah ditentukan sebelumnya. Uji coba dan evaluasi dilakukan pada tahap IV, dan hasilnya menunjukkan 77% pengurus rukun tetatngga merasa puas dan sisanya 23% belum merasa puas. Pengurus rukun tetangga dan petugas keamanan menyatakan kepuasan terhadap kinerja aplikasi dan sisanya berharap aplikasi ini dapat meningkatkan tingkat keamanan, menciptakan lingkungan yang lebih aman bagi warga, dan menjadi langkah progresif dalam memperkuat keamanan dan kenyamanan lingkungan setempat.Abstract: Environmental security in the community is the main focus of community service activities at RT 012 RW 016 Bunga Raya Residents, Bekasi. To support this goal, Mo-Tamu (Guest Monitoring) was implemented, an innovative application that empowers consisting of ten RT management and five security personnel. Intensive mentoring and training were conducted to ensure the application's effectiveness in managing and monitoring guests in real-time through mobile devices to further improve residence security. A series of activities, including needs analysis, planning, development, piloting, and evaluation, have been carried out from phase I to phase IV. The needs analysis phase in September 2023 aimed to understand the problems in the field related to security monitoring. The planning stage followed, detailing the mobile application development process based on the identified needs. Application development was carried out in stage III by referring to the predetermined design and specifications. Trials and evaluations were carried out in phase IV, and the results showed that 77% of administrators were not satisfied and the remaining 23% were not satisfied. Neighbor administrators and security officers expressed satisfaction with the performance of the application and the rest hoped that this application could increase the level of security, create a safer environment for residents, and be a progressive step in strengthening the safety and comfort of the local environment.