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PEMETAAN DAN PENANGGULANAN PENDERITA SINDROMA METABOLIK DI KECAMATAN MEDAN AREA KOTA MEDAN: MAPPING AND HANDLING OF METABOLIC SYNDRO ME PATIENTS IN MEDAN AREA DISTRICT, MEDAN CITY Pratama, Arief; Rambe, Aldy Safruddin; Widyawati, Tri; Darlan, Dewi Masyithah; Sembiring, Rosita Juwita
Jurnal Kedokteran Ibnu Nafis Vol. 14 No. 1 (2025): Juni 2025
Publisher : Fakultas Kedokteran Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jkin.v14i1.796

Abstract

Sindroma metabolik merupakan salah satu masalah kesehatan utama yang terus meningkat prevalensinya di Indonesia, termasuk di Sumatera Utara. Penelitian ini bertujuan untuk memetakan prevalensi dan faktor risiko sindroma metabolik di Kecamatan Medan Area, Kota Medan, melalui program pengabdian masyarakat. Metode pelaksanaan meliputi edukasi kesehatan, skrining fisik, dan pengukuran parameter laboratorium seperti gula darah dan kolesterol pada 150 peserta dengan usia rata-rata 45 tahun. Hasil menunjukkan bahwa 38% peserta memenuhi kriteria sindroma metabolik, dengan prevalensi obesitas abdominal sebesar 60%, hipertensi 45%, hiperglikemia 30%, dan hiperkolesterolemia 40%. Menyoroti pentingnya intervensi promotif dan preventif berbasis komunitas untuk menurunkan risiko sindroma metabolik. Data ini diharapkan menjadi dasar pengembangan kebijakan kesehatan di tingkat lokal dan regional.
COMPARISONAL ANALYSIS OF MYSQL AND MONGODB RESPONSE TIME QUERY PERFORMANCE Nandy Naufal; Siti Nurkhodijah; Gregian Bayu Anugrah; Arief Pratama; Muhammad Ihsan Rabbani; Firgi Ahmad Dilla; Tiara Nurhaliza Anggraeni; Ricky Firmansyah
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.245

Abstract

Query is the ability to display and or request data that is used to access data in the database system by using certain commands. Where a data obtained from one or more tables in the database according to what the user needs. The data can also interact with other data or tables with the aim of making it easier for the user to use it. The query response time is one of the considerations for testing databases. This journal will discuss two types of databases, namely MySQL (SQL) and MongoDB (NoSQL). Due to the increasing demand for data, data processors are competing to provide the right database with the best performance for applications or data processing. Then this journal provides a comparison analysis of MySQL and MongoDB databases in response time performance. This study uses the Query Runtime comparison execution test method between these databases. By using basic commands or DML queries, namely CRUD (Create, Read, Update, Delete). Several stages will be carried out, namely the determination of the dataset, implementation and testing, and analysis of the test results. In this study, trials were conducted on the insert, select, update, and delete processes with the data being tested were 100, 1000, 10000. After experimenting with MongoDB (NoSQL) and MySQL(SQL) databases. The MongoDB database has a faster query response time in the insert and delete process, for the query response time update and delete the MySQL database has a faster response time. Then it can be obtained that in query response time, the MongoDB database is superior in the update and delete processes with a runtime difference of 0.005 seconds and 0.017 seconds. MySQL database is superior in insert and select process with a difference of 4.137 seconds and 0.006 seconds.