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Penguatan Kapasitas Masyarakat Desa Keru melalui Edukasi Standar Pengemasan dan Pelabelan Produk Pangan Lokal Made Gendis Putri Pertiwi Putri Pertiwi; Firman Fajar Perdhana; Ika Rachmayani; Emi Pertiwi; Dina Supriani; Muammar Bima Fahlevi; Iqlima Khaerunnisa; Ismi Asmawati; Muhammad Rizqi Alfian; Erika Yuliana Pratiwi; Hidayatun Nisa; Rozal Ilham; Nindya Farah Dilla Harpama; Muhammad Zikro
Rengganis Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): Mei 2026
Publisher : Pendidikan Matematika, FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/rengganis.v6i1.1072

Abstract

The enhancement of the added value and competitiveness of local food products in Keru Village is constrained by a limited understanding of food packaging and labeling standards. The community service activity aimed to enhance the knowledge of the community in Keru Village, Narmada District, West Lombok Regency regarding the importance of proper food packaging and labeling in accordance with established standards to improve the competitiveness of local products. The activity involved 23 participants consisting of palm sap farmers and members of the PKK women’s group. The methods used included administering an initial questionnaire (pre-test) to assess participants’ prior knowledge, delivering material through interactive lectures, and administering a final questionnaire (post-test) to evaluate participants’ understanding after the activity. The pre-test and post-test data were then analyzed descriptively. The results showed a significant increase in participants’ knowledge, where pre-test scores were categorized as low to moderate, while post-test scores improved to a high category. This indicates that the community service activity was highly effective in enhancing participants’ understanding. Therefore, the activity successfully achieved its objectives and has the potential to encourage the community to produce food products with better packaging and labeling, thereby increasing their competitiveness in the market
Breast Cancer Classification Model Using Decision Tree Algorithm Nuzla Af'idatur Robbaniyyah; Ismi Asmawati; Syamsul Bahri
Jurnal Matematika, Statistika dan Komputasi Vol. 22 No. 3 (2026): May 2026
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v22i3.49472

Abstract

Cancer is a disease characterized by the presence of abnormal cells or tissues that grow rapidly, uncontrollably, can spread to other parts of the patient's body and it can also sometimes be malignant. According to the International Agency for Research on Cancer, in 2024 breast cancer will rank second in terms of the highest number of cases and fourth as the leading cause of death globally. The objective of this study is to apply the Classification and Regression Tree (CART) decission tree algorithm to a breast cancer classification model based on patient medical records. The model developed has a specificity of 95.77%, recall, precision, and F1-Score of 93.02%, and accuracy of 94.74%. The model was evaluated using a confusion matrix to measure its performance. Thus, the CART algorithm can be applied in classification models, and the resulting model is considered optimal as it achieves percentages within the 90%-100% range for all performance evaluation metrics.