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"Tingkatkan Kualitas Pendidikan: Peran Materi MIPA dalam Mencapai Tujuan Pendidikan Nasional"
Siti Nur Maulidah
; Zahrah Nazhifah Iftinany
; Reisa Evita Zahradia
; Ikmawati Ikmawati
; Kurniawan Kurniawan
Populer: Jurnal Penelitian Mahasiswa
Vol 3
, No 3
(2024)
Mathematics and Natural Sciences (MIPA) education has a very important role in shaping a smart, creative and innovative generation, in line with Indonesia's national education goals. This article explores the contribution of MIPA in improving the quality of education in Indonesia, especially through the development of critical and analytical thinking skills. This research uses a literature study method with a qualitative descriptive approach, and is supported by interviews with teachers in East...
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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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Penerapan Algoritma Convolution Neural Network untuk Klasifikasi Jenis Cabai Berdasarkan Warna dan Bentuk buah
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Chili is one of the main agricultural commodities in Indonesia with significant economic value. Various types of chili, such as large chili, bird's eye chili, and green chili, are often difficult to distinguish manually due to their physical similarities. To support advancements in the agricultural sector, this study utilizes artificial intelligence technology, specifically the Convolutional Neural Network (CNN) with VGG-16 architecture, to automatically identify chili types through image analys...
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Klasterisasi Tukang Gigi di Jakarta dengan Algoritma K-Means berdasarkan Daerah Asal
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
Tukang gigi registered with the Indonesian tukang gigi Union (STGI) DPW DKI Jakarta organization are 625 members. STGI is an organization that has been incorporated by the Ministry of Law and Human Rights number AHU-000083. AH.01.08.Year 2020. In the distribution of tukang gigi in Jakarta consisting of various regions of origin, the researcher conducted clustering research to find out the distribution of the origin of Tukang Gigi in the Jakarta area. The scope of the research data area is: North...
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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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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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Rancang Bangun Sistem Informasi Manajemen Organisasi Kemahasiswaan Berbasis Web di UNISNU Jepara
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
In today's digital era, Management Information Systems are becoming increasingly important for organizations and businesses. Management Information Systems can help organizations remain competitive and thrive in an increasingly complex and dynamic era. However, in student organizations within Unisnu Jepara, the management process is still carried out with manual practices and using paper media. Where writing on paper media requires a lot of time and energy, moreover the need for information in t...
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Implementasi Business Intelligence untuk menganalisis Perkembangan Akademik Mahasiswa di Program Studi Sistem Informasi UNISNU Jepara
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 2
(2024)
This research aims to build a Business Intelligence (BI)-based academic monitoring system in the Unisnu Jepara Information Systems Study Program to improve the efficiency and quality of decision making. The method used involves analyzing student academic data with the help of Microsoft Power BI for data processing. Data is taken from the Academic Information System (SIAKAD) and processed to produce visualizations in the form of informative dashboards. The research results show visualization of a...
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