Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Jendela Inovasi Daerah
Erika Febrianti
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALISIS SEKTOR UNGGULAN UNTUK MEWUJUDKAN KOTA MAGELANG YANG MAJU DAN BERDAYA SAING Erika Febrianti; Sudati Nur Sarfiah
Jendela Inovasi Daerah Vol 5 No 1 (2022): Februari
Publisher : Badan Perencanaan Pembangunan Daerah Kota Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56354/jendelainovasi.v5i1.110

Abstract

Identifying leading sectors is important, especially in determining future economic development strategies. Therefore, this study was conducted in order to improve the economic competitiveness of Magelang City as the vision that stated in RPJPD Magelang City 2005-2025 with redaction “Magelang as a service city that cultured, advanced and competitive in civil society”. The methods used is a combined analyst of static and dynamic Location Quotient (LQ), Shift-share, Growth Ratio Model (MRP), Overlay, and Klasssen Typology. The results showed that 4 (four) sectors are classified into advanced and rapidly growing sectors: electricity, gas and water supply; transportation and warehousing; Mandatory government administration, defense, and compulsory social security; and Educational services. Economic development strategies to improve the economic competitiveness of Magelang city can bedone in short, medium, and long term.
MENGKLUSTER JUMLAH KABUPATEN/KOTA YANG MELAKSANAKAN KAWASAN TANPA ROKOK (KTR) DI 50% SEKOLAH MENURUT PROVINSI DENGAN K-MEDOIDS Erika Febrianti; Rahmat W Sembiring; Drs. Suhada
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1672

Abstract

A non-smoking area (KTR) is a room or area that is declared prohibited from engaging in smoking, producing, selling, advertising, promoting, or promoting tobacco products. The problem of smoking is still a national problem that needs to be continuously addressed, because it involves various aspects of problems in life, namely economic, social, political aspects, especially health aspects. It is estimated that more than 40.3 million children live with smokers and are exposed to cigarette smoke in their environment and are referred to as passive smokers. Meanwhile, we know that children who are exposed to secondhand smoke can have an increased risk of developing bronchitis, pneumonia, middle ear infections, asthma, and slowed lung growth. This early health damage can cause poor health in adulthood. Even non-smoker adults who are constantly exposed will also have an increased risk of lung cancer and other types of cancer. K-Medoids Clustering Algorithm is one algorithm used to group data.The data used are the data of 34 provinces implementing non-smoking areas obtained from the Indonesian Health Office. The data will be grouped into two clusters namely high and low clusters. The results obtained are expected to be input to the relevant agencies in implementing the non-smoking areaKeywords : Data Mining, K-Medoids, Clustering, non smoking area.
Co-Authors Drs. Suhada Rahmat W Sembiring Sudati Nur Sarfiah