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Studi Literasi Tersistematis Implementasi Metode-Metode Pengembangan Sistem Informasi Berbasis Basis Data Terdistribusi
Lestariningsih, Endang
; Redjeki, Rara Sriartati
; Supriyanto, Edy
; Murti, Hari
; Ardhianto, Eka
; Wahyudi, Eko Nur
; Handoko, Widiyanto Tri
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Information systems cannot be separated from a database as the main database. As time goes by, the amount of data processed by information systems increases significantly. Currently, databases are not only stored in one storage media location, but can also be stored in different locations and locations. This is also supported by advances in network technology, both hardware and supporting software. The distributed database system model provides significant support for processing data stored in d...
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Sebuah Penerapan Metode Naïve Bayes dalam Klasifikasi Masyarakat Miskin pada Desa Tanjungsari
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
The main problem in efforts to reduce poverty today is related to the fact that economic growth is not spread evenly. The research will carry out classification based on data on poor residents obtained from Tanjungsari Village, Kajen District using data mining techniques. The attributes that will be used in classifying residents are Education, Occupation, Income, Dependents, Electricity Power, Home Ownership Status. The method that will be used is the Naïve Bayes Classifier method, which is one...
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Pengembangan Sistem Informasi Geografis Masjid di Kelurahan Telanaipura, Kelurahan Legok dan Kelurahan Murni Berbasis Website
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Technology, especially Geographic Information System (GIS) technology, can make it easier and faster for users to check data through online mapping as a whole. GIS will display the places on the earth's surface, one of which is the location of the mosque. Due to the large number of mosques in Jambi Province and the lack of accurate and comprehensive mosque information, it is still difficult for the Indonesian Mosque Council (DMI) to find and supervise all mosque activities. Therefore, researcher...
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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 Keadaan Stunting pada Kelompok Balita di Kecamatan Tukdana dengan Pendekatan Decision Trees
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
The impact of stunting on babies is an important parameter for assessing the health and welfare of children in an area. Stunting, often triggered by demographic and health factors, has serious implications for children's physical and cognitive growth. This research aims to understand the impact of demographic and health factors on stunting in children in Tukdana District, Indramayu Regency. Through data analysis, factors such as maternal age, access to clean water, sanitation facilities, and bab...
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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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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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