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Analisis Perbandingan Algoritma Nazief Adriani dan Levenshtein Distance untuk mengukur Tingkat Similaritas Berita Menggunakan Rabin Krap: Studi Kasus Berita Berbahasa Jawa Danang Kastowo; Andy Saputra; Wachid Daga Suryono; Erna Setyowati
JNANALOKA Vol. 03 No. 01 Maret Tahun 2022
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2022.v3-no1-1-10

Abstract

For people in Indonesia, the regional language is the everyday language used to communicate. One of them is the Java language. In natural language-based research, regional languages are considered difficult languages to develop, given the availability of a limited number of datasets. This study analyzes 2 word stemming methods, namely the Nazief-Adriani method and the Levenshtein Distance method to carry out the Javanese word stemming process. This study wanted to find out the appropriate method with the best accuracy for stemming Javanese words. In addition, this study also considers word weighting to produce better article similarity accuracy. The nazief adriani method produces an average similarity value of 6.8% with an average execution time of 0.0443 second.
Analisis Perbandingan Penyimpanan Data Rekam Medis Elektronik berstandar FHIR pada Sistem Basis Data: BigchainDB, MySQL dan MongoDB Danang Kastowo; Suwanto Raharjo
JNANALOKA Vol. 04 No. 01 Maret Tahun 2023
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2023.v4-no01-37-4x

Abstract

The availability of medical record data can affect the health services that will be provided, starting from treatment planning, therapy, and health facilities provided to patients. The integrity of electronic medical record data needs to be maintained, a method that can be used by implementing a decentralized database system, namely implementing blockchain technology. In addition to data integrity, data standardization also needs to be carried out in the health area, in order to facilitate the integration process with other systems. The international data standard that can be used is FHIR (Fast Healthcare Interoperability Resources). FHIR has great potential to be developed in Indonesia because several hospitals in Indonesia already have a health system and electronic medical record data. BigchainDB and FHIR can be combined to store electronic medical record data, the results of this study by implementing both, the BigchainDB database system requires a long processing time, when compared to MongoDB and MySQL, but for reading medical record data it is not much different from MongoDB. The most effective and efficient MongoDB database for storing and reading medical record data is the FHIR scheme, but this database needs to be configured more deeply in order to get decentralized features like BigchainDB. MySQL has faster data storage capabilities when compared to BigchainDB, but for data reading and the need for a replication scheme to get features such as decentralization, a more in-depth configuration is needed.
Co-Authors Andy Saputra Erna Setyowati Suwanto Raharjo Wachid Daga Suryono