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All Journal Jurnal Dinamika Informatika (JDI) Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK)
Rahmatul Ummah
Universitas Negeri Surabaya
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering

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Analisis Sentimen Opini Warga X terhadap Banjir di Sumatera Menggunakan Naive Bayes Novi Eka Rahmawati; Rahmatul Ummah; Harun Al Rosyid
Jurnal Dinamika Informatika Vol. 15 No. 1 (2026): Vol. 15 No. 1 (2026)
Publisher : Program Studi Informatika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jdi.v15i1.462

Abstract

This study aims to analyze public sentiment regarding flooding in Sumatra based on data from social media platform X. Flooding is a frequent natural disaster in Sumatra and elicits a variety of public responses, many of which are expressed through social media. Social media platform X was chosen as the data source because it is open and real-time, allowing it to broadly represent public opinion. The research data consists of 1,030 Indonesian-language tweets collected through a crawling process using the official API for X, using keywords related to flooding in Sumatra. After data cleaning, 873 tweets were obtained, which were then processed through text mining stages, including text preprocessing, manual sentiment labeling, and dividing the data into training and test data. The training data consisted of 650 tweets, while the test data consisted of 223 tweets. Sentiment classification was performed using the Naive Bayes algorithm with the assistance of RapidMiner software. Model evaluation was performed using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The results showed that the Naive Bayes algorithm performed quite well in sentiment classification. Furthermore, the analysis shows that public opinion regarding the flooding in Sumatra is dominated by negative sentiment. This research is expected to provide insight into public perceptions and inform disaster management policymaking.
Pengembangan Lms “SIPANDA” Untuk Mendukung Pembelajaran Problem Based Learning Pada Elemen Basis Data Kelas XI RPL SMK Negeri Tambakboyo Rahmatul Ummah; Riza Akhsani Setyo Prayoga
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 4 (2026): IDENTIK - Juli
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i4.1665

Abstract

Database learning at SMK Negeri Tambakboyo still relies on multiple platforms, resulting in learning activities that are not integrated into a single system. This condition causes the delivery of learning materials, assignment submission, and learning management to be less organized. This study aims to develop a Moodle-based LMS called “SIPANDA” to support Problem Based Learning (PBL) in the Database subject for Grade XI Software Engineering students and to determine users’ acceptance of the developed system. This research employed the R&D method using the ADDIE development model. The research subjects consisted of 34 students and one Database teacher at SMK Negeri Tambakboyo. Data were gathered through observations, interviews, expert validations, Blackbox Testing, and the Technology Acceptance Model (TAM) questionnaire. The collected data were analyzed using descriptive quantitative techniques. The results showed that “SIPANDA” was successfully developed in accordance with learning needs. The validation results obtained scores of 93% from media experts, 91% from subject matter experts, and 91% from instructional module experts, all categorized as highly feasible. Blackbox Testing indicated that all system features functioned properly according to their intended design. Furthermore, the TAM evaluation demonstrated a very high level of user acceptance across all measured constructs. Therefore, “SIPANDA” is considered highly feasible and well accepted as a learning medium to support the implementation of Problem Based Learning in the Database subject.
Co-Authors Harun Al Rosyid Novi Eka Rahmawati Riza Akhsani Setyo Prayoga