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Penerapan Metode Dbscan untuk Identifikasi Kluster Gempa Bumi di Daerah Yogyakarta
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Earthquakes are one of the natural disasters that frequently occur in Indonesia, including the Yogyakarta region. A profound understanding of earthquake patterns and characteristics in this area is crucial for risk mitigation efforts and disaster preparedness. Clustering methods, such as Density-Based Spatial Clustering of Applications with Noise (DBSCAN), can provide an effective approach to identifying earthquake clusters with high density in the Yogyakarta region. This research used the DBSCA...
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Sales Information System: A Case Study at an Indonesian Pharmaceutical Manufacturing
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
The effective design of information systems plays a crucial role in enhancing productivity and efficiency across various industries, particularly in the business sector. For numerous companies, integrating a comprehensive information system has become indispensable, effectively reducing risks such as human errors, fraud, and data inaccuracies. This study suggests developing a web-based information system specifically optimizing the sales process. The Rapid Application Development methodology has...
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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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Aplikasi Electronic Customer Relationship Management (E-CRM) untuk Meningkatkan Layanan Orang Tua pada Madrasah Aliyah Al-Falah
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Competition between private schools in New Student Admissions (PSB) requires the right strategy, namely implementing Electronic Customer Relationship Management (E-CRM). Madrasah Aliyah (MA) Al-Falah is currently having a problem with decreasing the number of prospective new students (CSB) during the pandemic because the CSB registration process is carried out offline, and brochures are distributed when CSB comes to school. Apart from that, there is no media for alumni to provide positive review...
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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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Implementasi Steganografi Metode Least Significant Bit (LSB) untuk Menyembunyikan File Pesan dalam Gambar
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Ease of image manipulation is not something difficult. Images become a more effective communication medium for society. The development of software for image manipulation, increasing crime such as phishing and bullying in cyberspace. The Least Significant Bit method is a steganography method that can be used to encrypt or hide messages in images. Hiding information in various media files such as images is done to maintain the confidentiality of the messages sent. This research implements the Lea...
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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 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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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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