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Klasifikasi Algoritma KNN dalam menentukan Penerima Bantuan Langsung Tunai
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Poverty is a condition where an individual or a group experiences economic incapacity to meet their basic needs, and this study involves broader aspects than just expenditures. The focus of this research is on Ciherang and Ciaro Villages, located in the Nagreg Subdistrict, Bandung Regency, which are areas with significant levels of poverty. This research responds to poverty issues by utilizing the K-Nearest Neighbor (KNN) Algorithm in the data mining classification process. KNN considers the pro...
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Analisis Sentimen Komentar Pengguna Youtube terhadap Kebijakan Baru Badan Penyelenggara Jaminan Kesehatan Sosial Menggunakan Naïve Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Many social media platforms are used by the public to express opinions and seek information. YouTube is a media sharing site, a kind of virtual entertainment for sharing video and audio media. YouTube has become one of the most popular video viewing platforms today. There are various topics discussed in YouTube videos, one of which is the discussion about the new policy of removing class 1, 2, and 3 systems and replacing them with the Standard Inpatient Class (KRIS) system in the Social Security...
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Analisis Sentimen Opini Supporter Pengguna Youtube terhadap Sistem Pembelian Tiket Pertandingan Persib menggunakan Metode Naïve Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Reporting about Persib cannot be separated from the role of the media from the era of the union until today. The first news about Persib in the media was at least in November 1904, when the Priangan Association (PVB) was recorded as the first association in Bandung. Using Descriptive Analysis, in the form of a word cloud, which is used in this research to identify and form word patterns that can be associated with other words that are considered important. Naïve Bayes Classifier Method. used in...
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Analisis Sentimen Review Hotel Menggunakan Metode Naïve Bayes pada Hotel di Wilayah Kota Cirebon
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Cirebon, a city in West Java, Indonesia, is known for its various tourist attractions, including culinary and historical sites. However, finding the right accommodation can be a challenge. To address this issue, a study has analyzed 875 hotel reviews in Cirebon from Google Maps, using the Naive Bayes method and the TF-IDF algorithm. The aim of this study is to help tourists get a better picture in choosing a hotel. The results show that this algorithm successfully achieved an accuracy of 90.52%...
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Analisis Sentimen Pengguna Youtube terhadap Polemik Pelarangan Tiktok Shop menggunakan Algoritma Naive Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Youtube and TikTok are creative platforms for creating videos and interacting with users. In addition to its function as a creative platform, TikTok Shop has recently emerged as a new breakthrough in the world of e-commerce because it can combine social media and e-commerce in one platform. TikTok Shop has become controversial as it disrupts micro, small, and medium-sized enterprises (MSMEs). Due to this controversy, the Indonesian government, through the Ministry of Home Affairs under the instr...
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Analisis Tingkat Penggunaan Gadget pada Anak Usia Dini dengan menggunakan K-Mean
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
The use of gadget devices in early childhood has become an increasing concern in recent years. influence on human thinking patterns because devices can find data quickly for children. Research on the consequences of using gadgets in early childhood has its own significance in understanding its impact on their development. In this study, an analysis was carried out on the level of gadget use in early childhood by applying the K-Means algorithm. The K-Means algorithm is used to group the level of...
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Klasifikasi Tumor Otak menggunakan Convolutional Neural Network dan Transfer Learning
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Brain tumor is an uncontrolled growth of cells in the form of a mass or tissue within the brain, capable of producing both cancerous and non-cancerous symptoms. Brain tumors are part of a group of tumors involving the nervous system, including tumors in the spinal cord and peripheral nerves. It is not a common disease, and prompt intervention is necessary to receive timely medical treatment or appropriate therapy. This research aims to apply Deep Learning techniques in the automatic classificati...
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Clustering Status Gizi Balita menggunakan Metode K-Means pada Posyandu Desa Mekar Wangi
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
The health of children under five is very important in the development of a country. Toddler nutrition is a key aspect in ensuring the healthy growth and development of children. This study aims to analyze the clustering of nutritional status of toddlers in Mekar Wangi village using the K-Means algorithm. Clustering analysis is a data mining analysis method that is influenced by the clustering algorithm method. The nutritional status of toddlers at the posyandu in Mekar Wangi Village is grouped...
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Pemanfaatan Wifi Repeater sebagai Solusi Peningkatan Sinyal Wifi bagi Mahasiswa di Lingkungan Kostsehati Kayuwalang dengan Metode Drive Test
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Wi-Fi has become the most popular Internet connection among the general public due to its wireless accessibility. However, the limited signal range of Wi-Fi poses challenges. This issue is also prevalent in the environment of Kostsehati Kayuwalang. Specifically, the Wi-Fi signal in the vicinity of room number 6 has been inaccessible within a 50-meter radius, making it difficult for mobile phones and laptops to capture signals, thus causing disruptions when within this area. To address this probl...
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Penerapan Data Mining dengan Metode Clustering untuk menentukan Strategi Peningkatan Penjualan Berdasarkan Data Transaksi
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Improving marketing strategies in mini markets by applying the clustering method as the basis of the approach. By using the K-Means cluster algorithm on data on the number of transactions and total sales, this research aims to identify groups of customers who have similar purchasing patterns. This clustering is the basis for formulating a more targeted and efficient marketing strategy. The K-Means approach is used to group customers into segments that have similarities in transaction behavior. T...
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