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Analisis Asosiasi Data Penjualan Produk Mega Baja Cipondoh Kota Tangerang Menggunakan Algoritma Fp-Growth
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Mega Baja Cipondoh, a construction material store in Tangerang, is experiencing suboptimal sales and revenue decline. This research addresses the issue through Fp-Growth algorithm application in sales data analysis using RapidMiner. With a minimum Support of 0.002, minimum Confidence of 0.8, and lift value of 1, six significant association rules are identified. For instance, 10.4% of transactions involve purchasing both Hollo Galvanis and Pipa Galvanis. Customers buying Hollo Galvanis have a 9.6...
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Analisis Data Sentimen Pemain Game Role-Playing Game (RPG) Honkai Star Rail dengan Algoritma Naive Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
In the rapidly evolving digital age, the gaming industry has experienced significant growth. One of the games that is currently popular is Honkai Star Rail. This research uses Honkai Star Rail game player reviews as the object of sentiment data research. However, the problem found in sentiment data analysis is the existence of reviews that provide positive or negative ratings as a response from players. There are situations where these labels do not fully reflect the true essence of whether the...
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Analisis Clustering Data Anak Balita di Posyandu Kampung Sukarame Menggunakan Algoritma K-Means
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Nutrition has a very important role in maintaining the health of the human body, especially in children and toddlers. The current level of health of toddlers and children is still a challenge in every region. Balance in nutritional consumption has a significant impact on children's growth and development phases, increasing their learning capacity, and making a positive contribution to their future. Currently, the problem at the Mulus Rahayu posyandu Kp. Sukarame, Cileunyi Kulon Village, Bandung...
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Implementasi Algoritma Regresi Linear Berganda untuk Memprediksi Biaya Asuransi Kesehatan
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Technological developments such as telemedicine and big data analysis have had a significant impact on the health insurance industry. It is very difficult to make wise decisions if customers do not understand the cost of insurance. Age, gender, medical history, region, smoking, and body mass index (BMI) are a number of variables used to determine the variables that contribute to health insurance costs. Multiple linear regression was used to identify variables that contribute to predicting relati...
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Prediksi Harga Mobil Bekas Menggunakan Algoritma Regresi Linear Berganda
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
The lack of information regarding used car prices creates obstacles for people in buying and selling vehicles because they don't understand the market prices that are used as a reference. This information is very important to know price predictions with the range of variables that can be considered. The aim is to process an algorithm model that is capable of carrying out statistics using appropriate techniques to make predictions. Prediction is a very important technique in decision making. The...
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Analisis Data Sentimen Ulasan Aplikasi Dana di Google Play Store Menggunakan Algoritma Naïve Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
In an era of rapid technological advancement, mobile applications, especially e-wallets such as Dana Apps, are becoming increasingly easy to use for digital payment transactions. This innovation drives research on how digital payment platforms build information systems and business strategies through digital platforms. To compete in a growing industry, companies must produce products and services that meet customer needs. Internet user opinions, especially about apps, are important in gathering...
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Analisis Data Sentimen Ulasan Pengguna Aplikasi Shopee di Google Play Store dengan Klasifikasi Algoritma Naïve Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
This research focuses on analyzing sentiment data from users of the Shopee e-commerce application using the Naïve Bayes Algorithm method. From 1000 datasets obtained from web scraping, reviews were analyzed to classify sentiment into positive or negative. With a ratio of 80% training data and 20% test data, the model developed achieved an accuracy of 95.5%. The classification results show precision 86.76%, recall 1%, and f1-score 92.91%. Even though the recall is low, the high accuracy shows th...
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Menentukan Nilai Gizi pada Balita Menggunakan Algoritma Support Vektor Machine (SVM) di Posyandu Kelurahan Ciherang
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Determining nutritional status in toddlers is based on age, weight and height. The process is still done manually, resulting in the resulting data being less relevant. This research serves to provide information about determining the nutritional status of toddlers so that the community and officers at Posyandu Ciherang Village. The problem of this study is to determine the growth and development of nutritional status in toddlers at Posyandu Ciherang Village. Data obtained from Posyandu at the vi...
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Analisis Data Stok Alat Kesehatan menggunakan Metode Regresi Linier Berdasarkan Nilai RMSE
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Inventory of healthcare equipment, whether in hospital or clinic settings, represents a significant investment requiring substantial cost allocation. However, estimating these equipment needs often relies solely on the overall available stock, as monthly or yearly requirements tend to fluctuate. Consequently, this approach leads to an inability to meet all necessary equipment needs, resulting frequently in surplus inventory. Therefore, anticipating this issue requires predicting healthcare equip...
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Prediksi Jumlah Sampah pada Sektor Informal di Provinsi Jawa Barat MenggunakanAlgoritma Regresi Linear
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Waste has become one of the most pressing global problems to be solved. Rapid population growth, urbanization, and consumerism have led to a significant increase in the volume of waste worldwide. This phenomenon not only affects the environment, but also touches the economic sector, health, and social life. West Java, as one of the provinces with the highest population density in Indonesia, faces great pressure regarding waste management. The province is experiencing a significant increase in th...
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