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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JITK (Jurnal Ilmu Pengetahuan dan Komputer)
Yusriana Chusna Fadilah
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other

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A Jauharah Hijab Web Site Design Eri Mardiani; Nur Rahmansyah; Sari Ningsih; Endah Tri Esthi Handayani; Aditya Nur Rohman; Cintia Marito Sihombing; Ratih Tri Lestari; Trie Widiarti Ningsih; Yusriana Chusna Fadilah
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 2 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v20i2.22512

Abstract

In this modern era, Muslimah fashion in Indonesia has become one of the fastest-growing sectors, making many consumers look for Muslimah fashion to follow this fashion trend. Muslim women in Indonesia have various tastes in wearing Muslim clothing. Muslim clothing known as the hijab now has many views with an interesting variety of creativity, so this has caused many Muslim women in various circles in Indonesia to wear the hijab for their daily clothes. This hijab business is a business that has a very small loss potential because the hijab is a product that is not easily damaged and does not spoil. Correct storage and skills in creating new variations and combining clothes and hijab with trendy styles will make the hijab sell well. The target market is not only adult women but various groups, ages, and social statuses because the modern hijab is now more flexible and can be combined with everyday clothes.
APPLYING K-MEANS CLUSTERING FOR GROUPING PAPUA’S DISTRICTS BASED ON POVERTY INDICATORS ANALYSIS Yusriana Chusna Fadilah; Asrul Sani; Andrianingsih Andrianingsih
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5865

Abstract

In the context of Indonesia's resource-rich development, poverty remains a major challenge, especially in Papua Province which has the highest poverty rate. Although Papua is rich in resources such as minerals, tropical forests, and biodiversity, challenges such as economic inequality, lack of infrastructure, and social conflict hinder economic and social progress. This research aims to implement the K-Means Clustering algorithm to cluster districts/cities in Papua based on poverty indicators, including the percentage of poor people, poverty line, average years of schooling, human development index, poverty depth index, poverty severity index, unemployment rate, and per capita expenditure. The research methodology includes data collection from the Central Statistical Agency (BPS), data processing through cleaning and transformation stages, and application of K-Means Clustering to determine the optimal cluster using the elbow method and silhouette score. The results show that the districts/cities in Papua can be grouped into two main clusters: C0, which indicates high poverty rates and C1, which indicates low poverty rates. This research is expected to provide a strategic foundation for the government to design more focused and effective development policies in reducing poverty in Papua.
Co-Authors Aditya Nur Rohman Andrianingsih Asrul Sani Cintia Marito Sihombing Endah Tri Esti Handayani Eri Mardiani Nur Rahmansyah Ratih Tri Lestari Sari Ningsih Trie Widiarti Ningsih