A fuzzy database engine for mongoDB

Sistem Informasi Rawat Jalan ini bertujuan untuk mendukung kegiatan operasional klinik yang mencakup layanan rawat jalan serta pengelolaan persediaan barang agar lebih cepat dan efisien. Untuk mendokumentasikan sistem ini menggunakan pendekatan berorientasi objek. Pada tahap pemodelan analisis, dibuat system use case, use case scenario, dan activity diagram. Pada tahap perancangan, pendekatan ini menggunakan class diagram dan sequence diagram. Sedangkan pada tahap implementasi, pendekatan ini menggunakan component diagram dan deployment diagram. Dalam tahap pembangunan sistem informasi, penulis menggunakan bahasa pemrograman Java dengan Netbeans 7.2.1 sebagai development tool, serta MySQL sebagai database engine. Hasil dari pengerjaan ini berupa sistem informasi yang mampu menangani proses pendaftaran pasien, pemeriskaan pasien, pembayaran resep, pembelian produk, serta pembayaran utang terhadap pemasok. Sistem informasi yang dihasilkan mampu mempercepat waktu pemrosesan informasi pada setiap tahap dalam kegiatan operasional klinik.

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M4SF-21LL010301052- SUPCRTNE Thermodynamic Database Engine

10.2172/1820020 ◽

2021 ◽

Author(s):

T Wolery

Keyword(s):

Thermodynamic Database ◽

Database Engine

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Tahani model of fuzzy database for an adaptive metacognitive scaffolding in Hypermedia Learning Environment (Case: Algorithm and structure data course)

2017 International Conference on Sustainable Information Engineering and Technology (SIET) ◽

10.1109/siet.2017.8304164 ◽

2017 ◽

Author(s):

Akhsin Nurlayli ◽

Teguh Bharata Adji ◽

Adhistya Erna Permanasari ◽

Indriana Hidayah

Keyword(s):

Learning Environment ◽

Structure Data ◽

Hypermedia Learning ◽

Fuzzy Database ◽

Metacognitive Scaffolding

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Scaling-Up and Speeding-Up Video Analytics Inside Database Engine

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/978-3-642-03573-9_19 ◽

2009 ◽

pp. 244-254 ◽

Cited By ~ 3

Author(s):

Qiming Chen ◽

Meichun Hsu ◽

Rui Liu ◽

Weihong Wang

Keyword(s):

Scaling Up ◽

Video Analytics ◽

Database Engine

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Wait Event Tuning in Database Engine

Advances in Computing Applications ◽

10.1007/978-981-10-2630-0_1 ◽

2016 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Vamsi Krishna Myalapalli

Keyword(s):

Database Engine

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Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining

Software and Intelligent Sciences ◽

10.4018/978-1-4666-0261-8.ch010 ◽

2012 ◽

pp. 157-168

Author(s):

Janusz Kacprzyk ◽

Slawomir Zadrozny

Keyword(s):

Large Data ◽

Large Data Sets ◽

Data Sets ◽

Interactive Approach ◽

Database Queries ◽

Fuzzy Database ◽

Linguistic Quantifiers ◽

Fuzzy Linguistic ◽

Web Server Logs ◽

General Tool

We consider linguistic database summaries in the sense of Yager (1982), in an implementable form proposed by Kacprzyk & Yager (2001) and Kacprzyk, Yager & Zadrozny (2000), exemplified by, for a personnel database, “most employees are young and well paid” (with some degree of truth) and their extensions as a very general tool for a human consistent summarization of large data sets. We advocate the use of the concept of a protoform (prototypical form), vividly advocated by Zadeh and shown by Kacprzyk & Zadrozny (2005) as a general form of a linguistic data summary. Then, we present an extension of our interactive approach to fuzzy linguistic summaries, based on fuzzy logic and fuzzy database queries with linguistic quantifiers. We show how fuzzy queries are related to linguistic summaries, and that one can introduce a hierarchy of protoforms, or abstract summaries in the sense of latest Zadeh’s (2002) ideas meant mainly for increasing deduction capabilities of search engines. We show an implementation for the summarization of Web server logs.

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