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All Journal Jurnal Komputer, Informasi dan Teknologi Sewagati
Rifqo, Muhammad
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Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Deteksi Dini dan Peningkatan Kewaspadaan Tentang Stroke untuk Masyarakat di Kelurahan Kanigaran Njoto, Edwin Nugroho; Radiansyah, Riva Satya; Abdurrahman; Mahdi, Faizal; Mulyasaputra, Galih Endradita; Rifqo, Muhammad; Putro, Yohanes Kartjito; Ramadani, Muhammad Rifqi Nur
Sewagati Vol 8 No 3 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i3.970

Abstract

Stroke merupakan penyebab kematian terbanyak ketiga di dunia, dengan dampak serius terhadap kesehatan dan kualitas hidup individu. Kegiatan pengabdian masyarakat dilakukan di Kota Probolinggo, dengan fokus pada peningkatan kesadaran deteksi dini faktor risiko stroke. Kegiatan ini menyajikan konsep yang mencakup penyuluhan tentang tanda dan gejala stroke, faktor risiko stroke, dan tata laksana awal stroke dengan melibatkan masyarakat di Kelurahan Kanigaran. Berbagai media digunakan termasuk penyuluhan, video edukatif, dan pemeriksaan langsung faktor risiko stroke. Hasil kegiatan menunjukkan tingginya antusiasme masyarakat, terutama dalam sesi tanya jawab. Mayoritas peserta adalah perempuan, dan banyak dari mereka memiliki hipertensi yang belum mendapatkan pengobatan. Tujuan kegiatan adalah meningkatkan kesadaran masyarakat sekitar tentang deteksi dini penyakit stroke, serta memberikan pemahaman yang lebih baik tentang faktor risiko dan tanda gejala stroke. Manfaat kegiatan ini melibatkan pengembangan kemampuan komunikasi sumber daya manusia ITS yang terlibat dan memberikan wawasan masyarakat sekitar mengenai deteksi dini stroke. Dampaknya diharapkan akan mengurangi angka kejadian stroke baru melalui deteksi dini yang lebih cepat dan optimal, serta meningkatkan kesembuhan pasien stroke. Kesimpulannya, kegiatan pengabdian masyarakat ini berhasil meningkatkan kesadaran dan pengetahuan masyarakat sekitar tentang stroke, khususnya di Kota Probolinggo. Dengan upaya ini, diharapkan dapat mengurangi angka kejadian stroke dan meningkatkan kualitas hidup warga setempat.
Implementation Of Data Mining To Find Product Sales Patterns Using The Apriori Algorithm (Case Study: Warung Dini) Rifqo, Muhammad; Gunawan; Sunardi, Dandi; Nurazizah, Iin
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2147

Abstract

In the increasingly fierce business competition, utilizing sales transaction data is crucial to improve business performance, including at Warung Dini. This research aims to identify customer purchasing patterns at Warung Dini by applying the Apriori algorithm, which is one of the effective data mining methods in uncovering associations between items in large transaction data. Using the Apriori algorithm, this research successfully found 12 association rules consisting of 5 combinations of two itemsets and 2 combinations of three itemsets, with a minimum support value of 60%, confidence 100%, and lift ratio 1. These itemset combinations reveal products that are often purchased together, such as Rice and Soy Sauce, as well as combinations of three products such as Rice, Soy Sauce, and Instant Noodles. These findings provide important insights for Warung Dini to optimize marketing strategies, such as designing attractive promotional packages and arranging product placement more strategically to increase sales. In addition, the results of this analysis also help the store in predicting stock needs, thus improving operational efficiency. The implementation of the Apriori algorithm in this study not only provides insight into sales patterns, but also supports more precise and strategic business decision-making, so as to strengthen the competitiveness of Warung Dini in a competitive market.
Co-Authors Abdurahman Abdurrahman Dandi Sunardi Gunawan Mahdi, Faizal Mulyasaputra, Galih Endradita Njoto, Edwin Nugroho Nurazizah, Iin Putro, Yohanes Kartjito Radiansyah, Riva Satya Ramadani, Muhammad Rifqi Nur