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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Aditya Firsyananda
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Aerospace Engineering Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Social Sciences

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Literature Review: Pendekatan K-Nearest Neighbors untuk Klasifikasi Penyakit Kardiovaskular Adinda Sri Wahyuni; Aditya Firsyananda; Nurdiasih; Raden Achmad Ajru Ramadhan
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 10 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This research reviews the literature to analyze the use of the K-Nearest Neighbors (KNN) approach in classifying cardiovascular diseases. Rapid technological advancements significantly impact, including in the machine-based heart disease classification systems. The algorithm frequently used in these studies is KNN, supported by Machine Learning. This research employs the Systematic Literature Review method to summarize and analyze various journals examining the use of KNN in heart disease classification, with these journals found through Google Scholar searches. Based on the literature review results, it was found that the KNN algorithm has great potential to be used as an aid in early diagnosis of heart disease. With a very high accuracy rate, this method offers medical personnel the opportunity to use data-driven guidance in making clinical decisions related to patients' cardiovascular risk. More accurate early diagnosis not only facilitates the determination of necessary intervention steps but also plays a crucial role in preventing the development of more serious disease complications.
Perancangan dan Implementasi Aplikasi Sistem Inventory dan Administrasi Berbasis Web di Optik Retna Aditya Firsyananda; Raden Achmad Ajru Ramadhan; Renaldi Ferrari; Wasis Haryono
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 4 (2025): Juli: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i4.945

Abstract

 In today's digital era, efficient and accurate inventory management is crucial to support operational effectiveness in business sectors, including retail optics stores. Optik Retna, a retail optical business, previously utilized Microsoft Excel for stock management, which led to various limitations such as restricted multi-user access, risk of data loss, and lack of real-time reporting. To address these challenges, a web-based inventory system was designed and implemented using the Agile methodology. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL, and includes key features such as inventory tracking, expense and return management, transaction recording, sales reporting, and user administration. The implementation results demonstrate that the system enhances work efficiency, simplifies the recording of incoming and outgoing goods, and supports faster and more accurate decision-making at Optik Retna. Therefore, this system provides a practical contribution to the digital transformation of small and medium-sized enterprises in the optical sector.
Co-Authors Adinda Sri Wahyuni Haryono, Wasis Nurdiasih Raden Achmad Ajru Ramadhan Renaldi Ferrari