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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Minda Baharu International Journal of Social Learning (IJSL)
Rini Anggrainingsih
Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Sebelas Maret, Surakarta
Arts Computer Science & IT Education Engineering Environmental Science Social Sciences Other

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Sentence embedding to improve rumour detection performance model Anggrainingsih, Rini; Wihidayat, Endar Suprih; Widoyono, Bambang
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp115-121

Abstract

Recently, most individuals have preferred accessing the most recent news via social media platforms like Twitter as their primary source of information. Moreover, Twitter enables users to post and distribute tweets quickly and unsupervised. As a result, Twitter has become a popular platform for disseminating false information, such as rumours. These rumours were then propagated as accurate and influenced public opinion and decision-making. The issue will arise when a decision or policy with substantial consequences is made based on rumours. To avoid the negative impacts of rumours, several researchers have attempted to detect them automatically as early as feasible. Previous studies employed supervised learning methods to identify Twitter rumours and relied on feature extraction algorithms to extract tweet content and context elements. However, manually extracting features is time-consuming and labour-intensive. To encode each tweet's sentence as a vector based on its contextual meaning, we proposed utilising Bidirectional Encoder Representation of Transformer (BERT) as a sentence embedding. We then used these vectors to train some classifier models to detect rumours. Finally, we compared the performance of BERT-based models to feature engineering-based models. We discovered that the suggested BERT-based model improved all parameters by around 10% compared to the feature engineering-based classification model.
PENINGKATAN KEAMANAN LINGKUNGAN DENGAN PENERAPAN CCTV DI DUKUH SRIMULYO Cahyono, Hasan Dwi; Wardani, Dewi Wisnu; Hendrasuryawan, Brilyan; Setiadi, Haryono; Doewes, Afrizal; Anggrainingsih, Rini; Wijayanto, Ardhi
MINDA BAHARU Vol 8, No 2 (2024): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v8i2.7015

Abstract

. Berdasarkan kegiatan Pengabdian kepada Masyarakat (PkM) yang sudah terlaksana, yakni penerapan closed-circuit television (CCTV) di Dukuh Srimulyo, Boyolali, didapatkan hasil bahwa dapat membantu menyelesaikan masalah mitra. Adapun permasalahan yang ditemukan adalah kurangnya pengawasan yang dapat memberikan rasa aman kepada warga. Hal ini terjadi akibat banyaknya jalur kendaraan yang dapat melintasi wilayah tersebut tetapi belum diterapkan adanya pengawasan secara real-time. PkM ini bertujuan untuk mengatasi masalah keterbatasan tersebut. Solusi yang ditawarkan kepada mitra adalah penerapan CCTV yang dapat merekam kejadian di titik yang penting. Pendampingan dilakukan dalam bentuk pelatihan penggunaan CCTV dan penyediaan fasilitas untuk pengawasan yang akan digunakan oleh mitra. Adapun hasil dari PkM ini adalah ditemukan bahwa para warga memberikan sambutan baik dengan diterapkannya CCTV ini pada kegiatan yang dilakukan berdasarkan umpan balik yang diberikan setelah kegiatan selesai. Selanjutnya CCTV yang terpasang pada titik penting berjumlah dua dan telah melalui proses penelaahan bersama dengan warga. Adapun dampak yang diperoleh secara nyata setelah PkM ini berakhir adalah sebagian besar peserta dapat melakukan pengawasan secara mandiri menggunakan aplikasi aplikasi CCTV yang telah terpasang
Needs Analysis of Link and Match on Research Methodology Course: Student-Lecturer Based Teaching and Learning Experiences Sumarni, Sri; Akhyar, Muhammad; Nizam, Muhammad; Widyastono, Herry; Anggrainingsih, Rini
International Journal of Social Learning (IJSL) Vol. 5 No. 1 (2024): December
Publisher : Indonesian Journal Publisher in cooperation with Indonesian Social Studies Association (APRIPSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijsl.v5i1.294

Abstract

Research methodology is a mandatory course in higher education. Students are expected to be able to compile research and solve problems according to their field of study. However, many students still have difficulty operationalizing research competency indicators. This research aims to reveal learning needs through the experience of lecturers teaching and students learning in research methodology courses. This research uses an interpretive relativity paradigm with a narrative inquiry approach. Lecturers and students as participants. Data collection techniques using interviews. Data were analyzed using content analysis. By exploring lecturers' teaching experiences and students' learning experiences, information on learning needs is obtained. The learning needs include learning outcomes, literacy technology, learning time, lecturer's teaching experience, obstacles or shortcomings faced by lecturers, and the final learning product. Through the link and match between the learning needs of students and the fulfillment of learning needs from lecturers, a research methodology learning needs analysis is obtained, including learning outcomes, technological literacy, learning time, lecturer teaching experience, obstacles lecturers face, and the final learning product.
Co-Authors Afrizal Doewes, Afrizal Dewi Wisnu Wardani Hasan Dwi Cahyono Hendrasuryawan, Brilyan Herry Widyastono, Herry Muhammad Akhyar Muhammad Nizam Setiadi, Haryono Sri Sumarni Widoyono, Bambang Wihidayat, Endar Suprih Wijayanto, Ardhi