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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Islamic Studies and Education
Fatma, Nurul
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Physics Other

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Implementation of Data Mining to Determine Public Interest in Automatic Motorcycles Fatma, Nurul; Harahap, Syaiful Zuhri; Masrizal, Masrizal
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13637

Abstract

Research on public interest in automatic motorbikes was carried out with the aim of understanding the factors that influence the decision to purchase an automatic motorbike. Using data mining methods, this research applies the K-Nearest Neighbor (KNN) and Neural Network techniques to identify and analyze people's interest patterns. The data used amounted to 139 samples, of which 127 showed interest in automatic motorbikes, while 12 others showed no interest. The research process begins with data analysis, the next stage is preprocessing, which includes data cleaning, in the model design stage in data mining, two models are built: one using KNN and the other using Neural Network. These two models are designed to classify sample data based on interest in automatic motorbikes. The next stage is model testing. Test results show that both models can classify interests accurately, with most of the sample data being classified correctly. Model evaluation was carried out to measure the effectiveness and accuracy of the two methods. The evaluation results show that both models provide very good performance, with results that almost reach a perfect score. This shows that both methods, KNN and Neural Network, are very effective in classifying and predicting people's interest in automatic motorbikes based on available data. In conclusion, this research not only shows the effectiveness of KNN and Neural Network in data mining for analyzing people's interests, but also provides valuable insights for automatic motorbike manufacturers and sellers about consumer preferences.
Designing Pictures Story Book Using Cultural Language Learning Approach (CLLA) to Improve English Skills Fatma, Nurul; Sujito
Journal of Islamic Studies and Education Vol. 3 No. 3 (2025)
Publisher : Presscience

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63120/jise.v4i3.72

Abstract

This study aimed to develop a Picture Story Book (PSB) to enhance English proficiency among elementary learners and to identify appropriate teaching materials. The research employed a Research and Development (R&D) approach, structured using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Data were collected through observations, interviews, and questionnaires during the needs analysis phase. The English material, titled "Let’s Have Fun with Picture Story Book (PSB)," was developed based on the 2013 national curriculum, integrating character education and communicative language learning. Validation was conducted through focus group discussions (FGD) with English teachers and caretakers using Likert scale questionnaires. The final product comprised six thematic units. Evaluation of learning outcomes, based on pre-test and post-test analysis, showed a significant improvement in student performance from a mean pre-test score of 52.3 to a post-test score of 75.8. These results affirm the PSB’s effectiveness and appropriateness for supporting English instruction in elementary education at MIM PK Kartasura.
Effectiveness Test of Mangrove Leaf (Rhizophora Apiculata) on Decreasing Blood Glucose Levels and Pancreas Histopatology Streptozotocin Induced Male White Rats Tandi, Joni; Fahri, Mohammad; Fatma, Nurul; Anggi, Viani; Patala, Recky; Handayani, Tien Wahyu
Jurnal Penelitian Pendidikan IPA Vol 9 No 6 (2023): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i6.3789

Abstract

Hyperglycemia, a symptom of diabetes mellitus, can lead to oxidative stress, which is indicated by elevated malondialdehyde levels. Mangrove (Rhizophora apiculata) contains secondary metabolites of alkaloids, flavonoids, saponins and tanins, this can lessen how much oxidative stress there is in DM. This study intends to demonstrate the efficacy of mangrove extracts in lowering blood glucose levels and detecting pancreatic damage. The study used 30 male Wistar rats which were divided into 6 groups (group I: normal control, group II: negative and group III: positive control given glibenclamide 0.45 mg) and the test group (trial group). group IV: level 25 mg/kg BW, group V: level 50 mg/kg BW and VI: level 75 mg/kg BW) The DM model was made by streptozotocin induction. Pancreatic damage seen at 700 magnification saw pancreatic β cells as well as the islets of Langerhans' endocrine cells. The results of research on ethanol from mangrove leaves at levels of 75 mg/kg BW are substances that are effective at lowering blood sugar levels, which on average were 105 mg/dL with a hazard value of 1.2. When compared with glibenclamide mangrove extract is not equivalent to glibenclamide but has lowered glucose levels.
Co-Authors Fahri, Mohammad Handayani, Tien Wahyu Joni Tandi, Joni Joumil Aidil Saifuddin Recky Patala Syaiful Zuhri Harahap Viani Anggi