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Klasterisasi Wilayah Kabupaten/Kota di Sulawesi Tenggara berdasarkan Produksi Bahan Pangan menggunakan Algoritma K-Means Clustering
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Food ingredients are ingredients produced from agricultural products that are used to make food. These foods consist of vegetables, meat, nuts, sweet potatoes, and so on. Southeast Sulawesi Province is one of the provinces that has a fairly high amount of food production in Indonesia. The application of the K-Means clustering algorithm is used to group districts/cities in Southeast Sulawesi based on food production results. The method used in this study is CRISP-DM with the K-Means clustering al...
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Metode System Development Life Cycle dalam Perancangan Sistem Informasi Kuliah Kerja Kemasyarakatan
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Our annual activity, Community Service Internship, will be conducted this semester. Previously, this reporting activity was carried out by sending pictures via WhatsApp. So, we created a reporting system to make it more efficient. Now, the reporting process will be handled through a website and monitoring will also be done through the website. This will make it easier for both participants and mentors to carry out the activity," he said. The methodologies used are SDLC (System Development Life C...
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Klasifikasi Penentuan Kualitas Kayu Jati Berdasarkan Citra Digital Menggunakan Algoritma K-Nearest Neighbour
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
The increase in demand for goods made from wood cannot be limited, especially the demand for table furniture, cupboards and so on. Along with development, teak wood production has shifted to superior types of teak wood because the growth period is faster, but this condition means that the quality of teak wood is not like the old type of teak wood. Difficulty in seeing the quality of wood is a problem faced by craftsmen and furniture makers. The aim of this research is to determine the quality of...
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KORELASI PERILAKU HIDUP BERSIH DAN SEHAT DENGAN KECACINGAN PADA SISWA SEKOLAH DASAR DI KABUPATEN PROBOLINGGO
Jurnal Kesehatan Masyarakat Indonesia
Vol 19
, No 3
(2024)
Background: Soil-transmitted worms are still a health problem in Probolinggo Regency, especially related to clean and healthy living behavior. Health and hygiene education is an effort to reduce worm transmission and infection. The purpose of this study was to identify clean and healthy living behaviors related to worms. Method: The study design was observational analytic with a Cross-Sectional Study approach. The population was elementary school students in Probolinggo Regency with a sample siz...
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Aplikasi E-voting Berbasis Blockchain dengan Metode Smart Contract
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Voting is an important process in many contexts, such as in organizational decisions and the selection of leaders. With the development of technology, the concept of electronic voting emerged, where humans can cast their votes electronically. Electronic voting has become an important alternative in organizational decision making and leader selection, but often faces challenges related to security and fraud. In this study, a blockchain-based electronic voting application has been developed using...
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Implementasi dan Perancangan Sistem Informasi Penjualan Vapestore Berbasis Mobile Flutter
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
The sale of vape products has become a rapidly growing industry, with increasing demand from a diverse range of consumers. To keep up with these developments, the existence of an efficient and easily accessible sales information system is crucial for vape store owners. This study aims to implement and design a mobile-based sales information system for Vapestore using Flutter. The system development method used in this research is the iterative software development method. Flutter was chosen as t...
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Implementasi Profile Matching pada Sistem Pendukung Keputusan Seleksi Peserta Tenda Kewirausahaan
Setiawan, Aries
; Nuryanto, Imam
; Mintorini, Ery
; Hidajat, Moch. Sjamsul
; Farida, Ida
; Widjajanto, Budi
; Prasetya, Jaka
; Lewa, Andi Hallang
; Karmila, Karmila
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
One of the programs from the Entrepreneurship Unit is the entrepreneurial tent participant program. In the manual assessment process, participant selection is only based on the type of entrepreneurial product that will be offered. However, this does not get maximum selection results because if the existing selection only uses one variable component and the assessment tends to contain elements that have no potential. One decision making method that has weight in its calculations is profile matchi...
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Model Hybrid Random Forest dan Information Gain untuk meningkatkan Performa Algoritma Machine Learning pada Deteksi Malicious Software
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
The evolution of malware, or malicious software, has raised increasing concerns, targeting not only computers but also other devices like smartphones. Malware is no longer just monomorphic but has evolved into polymorphic, metamorphic, and oligomorphic forms. With this massive development, conventional antivirus software is becoming less effective at countering it. This is due to malware's ability to propagate itself using different fingerprint and behavioral patterns. Therefore, an intelligent...
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Penerapan Recursive Feature Elimination (RFE) pada Tree-Based Classifier untuk Identifikasi Risiko Diabetes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Diabetes mellitus is a common chronic disease with significant global impact. Early identification of individuals at high risk of developing diabetes is critical for the prevention and management of the disease. This study explores the use of Recursive Feature Elimination (RFE) in decision tree-based classifiers to improve the accuracy of diabetes risk prediction. The Pima Indians Diabetes Database (PIDD) dataset was used as the database, and algorithms such as Decision Tree, Random Forest, Grad...
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Deteksi Serangan Denial of Service (DoS) dan Spoofing pada Internet of Vehicles menggunakan Algoritma K-Nearest Neighbor (KNN)
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
The implementation of Internet of Things (IoT) technology in motor vehicles has been increasing over time and is known as the Internet of Vehicles (IoV). IoV is becoming more essential to society as it provides comfort, safety, and efficiency in driving. Unfortunately, the use of internet technology in IoV brings the potential for cyber-attacks, such as Denial of Service (DoS) and Spoofing. Intrusion Detection Systems in IoV have not yet fully matured, as this technology is still relatively new....
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