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All Journal Jurnal Sisfotek Global JRIIN :Jurnal Riset Informatika dan Inovasi Indonesian Journal of Dedication and Educations
Iftizam, Syafiranur
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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P Pelatihan Desain Grafis menggunakan Canva sebagai Upaya Pemberdayaan Anak Panti Asuhan Muara Kasih Bunda Iftizam, Syafiranur; Septarita, Femiliana; Eliyani, Marija; Maziidi, Ismail; Jepri, Jepri; Septiani, Dwita Putri; Zaliman, Iski
Indonesian Journal of Dedication and Educations Vol. 3 No. 1 (2024): Volume 3 Nomor 1 Tahun 2024
Publisher : Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/ijde.v3i1.51

Abstract

This research aims to implement the application of the Canva graphic design platform in order to improve the creativity and digital skills of children at the Muara Kasih Bunda Orphanage. The research method used is a case study, with data collection through interviews, observation and documentation. The research results show that using Canva can provide significant benefits for children's orphanages, namely improving visual design skills, opening technological insights, and developing digital skills that are important in the current era. However, there are several challenges such as limited resources, diverse understanding of technology, and the need for intensive guidance and training. This research provides recommendations for orphanages to integrate Canva as part of the educational curriculum, as well as the need for collaboration with various stakeholders to support program sustainability and increase children's orphanage access to technology.
Analisis Manajemen Risiko Keamanan Informasi Menggunakan Metode Failure Mode and Effect Analysis (FMEA) (Studi Kasus: BPS Kota Pangkal Pinang) Iftizam, Syafiranur; Firmansyah, Dimas
Jurnal Riset Informatika dan Inovasi Vol 3 No 1 (2025): JRIIN : Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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

Abstract

− Keamanan informasi menjadi aspek penting dalam pengelolaan data di instansi pemerintahan, terutama bagi Badan Pusat Statistik (BPS) yang menangani data strategis nasional. Penelitian ini bertujuan untuk menganalisis potensi risiko keamanan informasi yang terdapat pada sistem BPS Kota Pangkalpinang menggunakan metode Failure Mode and Effect Analysis (FMEA). Metode ini digunakan untuk mengidentifikasi bentuk kegagalan, mengevaluasi tingkat keparahan, kemungkinan terjadinya, serta kemampuan sistem dalam mendeteksi kegagalan melalui perhitungan Risk Priority Number (RPN). Pengumpulan data dilakukan melalui observasi dan wawancara langsung dengan pihak internal BPS. Hasil analisis menunjukkan bahwa serangan ransomware, dan kebocoran data merupakan risiko dengan nilai RPN tertinggi dan menjadi prioritas utama untuk mitigasi. Berdasarkan temuan tersebut, penelitian ini memberikan beberapa rekomendasi peningkatan sistem keamanan informasi, seperti penguatan infrastruktur jaringan, penerapan sistem backup yang terintegrasi, serta peningkatan kesadaran keamanan siber di lingkungan kerja. Penelitian ini diharapkan dapat menjadi acuan dalam pengelolaan risiko keamanan informasi di instansi pemerintah.
Implementation Machine Learning of K-Means Clustering Method and Linear Regression for Detecting the Risk of Tuberculosis Spread in Bangka Regency Tou, Nurhaeka; Endraswari, Putri Mentari; Iftizam, Syafiranur; Mu’anah, Itlahtul
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15658

Abstract

The number of tuberculosis (TB) sufferers in Bangka Regency tends to increase and is becoming a very serious public health problem. In 2023, there will be around 331,581 residents of Bangka Regency, with around 1,489 of them suffering from TB. The high number of TB cases in Bangka Regency requires comprehensive monitoring. Surveillance can be carried out by grouping TB cases by region. One clustering method is K-Means which groups data based on similar criteria. Researchers also used the Linear Regression method to predict the effect of population density on increasing TB prevalence. This research was conducted to cluster the distribution pattern of TB by region and identify the influence of population density variables on the increase in TB. Based on the results of the K-Means method analysis by looking at the Performance Davies Bouldin-Index (Dbi) test, researchers obtained a pattern of TB distribution which was categorized into: Areas with High Prevalence (Sungailiat), Medium Prevalence (Belinyu and West Mendo) and Low Prevalence (Bakam, Merawang, Pemali, Pudding Besar, and Riau Silip). Meanwhile, the prediction results show that there is a positive influence of 81% of the population density variable on increasing the number of TB spreads and 19% is influenced by other variables. The results of this research can be used as a reference for the Bangka District Health Service to assist decision-making in preventing an increase in TB cases.
Co-Authors Eliyani, Marija Endraswari, Putri Mentari Firmansyah, Dimas Iski Zaliman Jepri, Jepri Maziidi, Ismail Mu’anah, Itlahtul Septarita, Femiliana Septiani, Dwita Putri Tou, Nurhaeka