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KLASIFIKASI TINGKAT RISIKO PENYEBARAN COVID-19 DI PROVINSI INDONESIA MENGGUNAKAN ALGORITMA NAÏVE BAYES Nurhidayat, Taufiq; Halimah, Halimah
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol. 8 No. 1 (2025): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : LP2M Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid spread of COVID-19 across Indonesian provinces has created significant challenges for government authorities indetermining appropriate mitigation priorities. Accurate classification of regional risk levels is therefore essential to supporteffective decision-making. This study aims to classify the risk level of COVID-19 transmission in Indonesian provinces using theNaïve Bayes algorithm based on publicly available data from the KawalCOVID-19 dataset. The dataset consists of daily confirmedcases aggregated at the provincial level and is processed through data cleaning, normalization, and feature selection stages. Risklevels are categorized into low, medium, and high classes based on cumulative cases and daily case growth indicators. The NaïveBayes classifier is applied due to its simplicity and effectiveness in handling probabilistic classification problems. Modelperformance is evaluated using k-fold cross-validation and standard classification metrics, including accuracy, precision, recall,and confusion matrix analysis. The experimental results indicate that the proposed model is able to classify provincial COVID-19risk levels with satisfactory accuracy, demonstrating consistent performance across validation folds. The findings show that NaïveBayes can effectively capture patterns in COVID-19 case distribution and growth trends among provinces. Compared to previousstudies, such as Azhari et al. (2023) who applied K-Means Clustering and Gunawan & Purwayoga (2022) who used K-Means forCOVID-19 spread analysis, this study offers a supervised classification approach that produces more interpretable and labelspecific risk categories. Moreover, while Thaib & Betrisandi (2025) demonstrated Naïve Bayes effectiveness for respiratory diseaseclassification at the patient level, this study extends its application to provincial-scale epidemiological risk mapping. In conclusion,this study provides a practical and interpretable data mining approach that can assist policymakers in identifying high-risk regionsand prioritizing public health interventions during pandemic conditions
Hubungan Financial Stress dengan Student Economic Behavior pada Mahasiswa Mutiara Sahra Fadhilah Nofitri Yati; Halimah Halimah; Lucky Purwantini
Atmosfer: Jurnal Pendidikan, Bahasa, Sastra, Seni, Budaya, dan Sosial Humaniora Vol. 4 No. 3 (2026): Agustus: Atmosfer: Jurnal Pendidikan, Bahasa, Sastra, Seni, Budaya, dan Sosial
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/atmosfer.v4i3.1931

Abstract

This study aimed to examine the relationship between financial stress and students' economic behavior and to identify differences in both variables based on demographic characteristics. This research employed a quantitative approach with a correlational design. The participants were 1,062 undergraduate students from various universities in Indonesia selected through purposive sampling. Data were collected using the Financial Stress Scale for Undergraduate Students and the Students' Economic Behavior Scale. Data were analyzed using Spearman Rank Correlation, Mann-Whitney U Test, and Kruskal-Wallis Test. The results indicated that there was no significant relationship between financial stress and students' economic behavior (r = -0.014; p = 0.655). In addition, no significant differences were found in financial stress or students' economic behavior based on gender, scholarship status, or migration status. However, significant differences in financial stress were found based on living arrangements, while students' economic behavior differed significantly based on parents' income. This study concludes that financial stress is not significantly associated with students' economic behavior, although several demographic characteristics differentiate each variable.
Pengabdian Kepada Masyarakat Melalui Kuliah Kerja Nyata (KKN) Kegiatan Sunat Massal Bagi Anak Yatim Piatu Dan Fakir Miskin Korban Bencana Alam Di Kabupaten Pidie Jaya Ricky Muliawan Hansyar; Heri Fajri; Safrijal Safrijal; Halimah Halimah; Anwar Anwar; Khalisa Humaira
Al Ghafur: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 5, No 1 (2026): Juli
Publisher : Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/alghafur.v5i1.4549

Abstract

Kegiatan pengabdian kepada masyarakat merupakan implementasi Tri Dharma Perguruan Tinggi yang bertujuan memberikan kontribusi nyatabagi masyarakat. Kegiatan ini berupa sunat massal bagi anak yatim piatudan fakir miskin korban bencana alam di Kabupaten Pidie Jaya. Kegiatandilaksanakan pada 22 Februari 2026 di Kecamatan Meurah Dua denganmelibatkan Universitas Jabal Ghafur, pemerintah daerah, tenagakesehatan, dan berbagai pihak lainnya. Hasil kegiatan menunjukkanbahwa program ini memberikan manfaat langsung bagi masyarakat sertamemperkuat sinergi antara perguruan tinggi, organisasi masyarakat, dan pemerintah daerah.
Implementasi Platform Digital Berbasis Web Untuk Manajemen Aset dan Inventarisasi BPBD Lampung Yulia Astuti; Halimah Halimah; Nursiyanto Nursiyanto; Ochi Marshella Febriani
TEKNIKA Vol. 19 No. 3 (2025): Teknika September 2025
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15566643

Abstract

Meningkatnya kebutuhan akan transparansi dan efisiensi dalam pengelolaan aset di Badan Penanggulangan Bencana Daerah (BPBD) Provinsi Lampung menjadi latar belakang dilakukannya penelitian ini. Proses inventarisasi secara manual yang selama ini digunakan terbukti kurang efektif, rawan kesalahan, dan menyulitkan dalam pelaporan. Penelitian ini bertujuan untuk mengimplementasikan platform digital berbasis web yang mampu mendukung manajemen aset dan inventarisasi secara terintegrasi. Metode yang digunakan dalam penelitian ini adalah metode pengembangan perangkat lunak dengan pendekatan waterfall, yang meliputi tahap analisis, desain, pengkodean, dan pengujian sistem. Hasil penelitian menunjukkan bahwa sistem yang dibangun dapat digunakan oleh dua jenis pengguna, yaitu admin dan pimpinan, dengan pembagian hak akses yang jelas. Fitur-fitur utama meliputi pengelolaan data aset, inventaris masuk dan keluar, kategori, lokasi, serta dashboard yang menampilkan informasi secara visual dan real-time. Pengujian sistem menggunakan metode black-box testing menunjukkan seluruh fitur berjalan sesuai fungsi yang diharapkan tanpa ditemukan kesalahan, sehingga sistem ini dinyatakan layak digunakan.
Co-Authors Abu Lubaba Afif al khaedar Agariana, Melda Agus Rahardi Agus Rahardi Agus Rahardi Agus Rahardi, Agus Alifya Brigitha amnah amnah Andriyadi Anggi anggi andriyadi Anggi Andriyadi Anggi Andriyadi Anwar Anwar Arifahtul Hikmah Arman Suryadi Karim, Arman Suryadi Ayu Firdayanti Azh-Zhahra Olfa Bobby Bachry Damanhuri Daud Defina Alfiyanti Deni Impantri Deppi Linda Desvyna Tri Yanitha Devi Risma Dhella Samputri Dian Agustin Dian Femala Dian Kinanti Dona Yuliawati Evi Deliana HZ Falah Alkautsar Feby Aristrianti Gufran Ali Ibrahim Hansyar, Ricky Muliawan Harahap, Nurintan Muliani Haryani, Nike Hendra Kurniawan Heri Fajri, Heri Ibrahim, Gufran Ali Idam Ragil Widianto Atmojo Innani, Turzina Irianti , Artia Jesi Alexander Alim Khaidarmansyah Khaidarmansyah Khalisa Humaira Klaralia, Felisita Lahmudinur Lahmudinur Lismainy, Eva Lucky Purwantini Melda Agarina Mohammad Ridwan Muhamad faozi alrizki Muhammad Masngudi Mutiara Sahra Fadhilah Nofitri Yati Nathael, Cornelius Neni Purwati Ni Nyoman Sri Putu Verawati Ninuk Lustyantie Nisar Nisar Nurhidayat, Taufiq Nurmaya, Ema Nursiyanto Ochi Marshella Ochi Marshella Febriani Pebrina Swissia Pebrina Swissia Pebrina Swissia Pebrina Swissia, Pebrina Rahmanta Ginting Rakhman, Agus Solehudin Renylda, Reta Rini Nurlistiani Riyadi Riyadi Safrijal Safrijal Sari, Dwi Kurnia Sasya Nadira Satia Negara Lubis Serly Amelika Putri Siegar, Risdawati Sushanty Saleh Sutedi Sutedi Sutono Sutono Syalaisha Sevia Aulianisya Syamsiar, Syamsiar TM Zaini Treisa, Winda Viandilan Viandilan Wasilah Wasilah Yulia Astuti Zinnurain Zinnurain, Zinnurain Zulirfan Zulirfan