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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Journal La Multiapp Jurnal Pendidikan Kewarganegaraan dan Politik
Nurjanah, Nurul
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Social Sciences Other

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IMPLEMENTASI K-MEANS CLUSTERING UNTUK MENGELOMPOKAN TINGKAT PENGANGGURAN Nurjanah, Nurul; Suarna, Nana; Prihartono, Willy
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 2 (2024): JATI Vol. 8 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i2.8353

Abstract

Di dalam era digital ini, pertumbuhan data ekonomi dan ketersediaan teknologi informatika memberikan peluang untuk mendekati isu kompleks seperti tingkat pengangguran dengan pendekatan yang lebih canggih, dan provinsi Jawa Barat sebagai pusat ekonomi menjadi fokus penelitian ini. Permasalahan dalam penelitian ini adalah bagaimana cara mengelompokkan tingkat jumlah pengangguran di Jawa Barat menggunakan algoritma clustering K-Means, berapa cluster yang dihasilkan dan berapa nilai titik pusat (centroid) nya. Adapun tujuan dari penelitian ini adalah mengelompokkan lebih detail lagi dalam menganalisis data pengangguran di Provinsi Jawa Barat melalui penerapan algoritma clustering K-Means untuk mengidentifikasi tiap cluster berdasarkan tingkat kabupaten/kota, pendidikan, dan tahun serta menentukan jarak atau titik pusat (centroid). Cara kerja analisis data tingkat pengangguran ini menggunakan tools RapidMiner Studio dengan menggunakan metode penelitian kuantitatif menggunakan algoritma clustering K-Means. Hasil yang diperoleh dari penelitian ini yaitu mengelompokan data tingkat pengangguran di Provinsi Jawa Barat menjadi 3 cluster yaitu cluster 0 dengan kategori pengangguran rendah meliputi kota Banjar, cluster 1 dengan kategori pengangguran sedang meliputi kota/kabupaten Kota/kabupaten Sukabumi, Cianjur, Bandung, Garut Tasikmalaya, Ciamis, Kuningan, Cirebon, Sumedang, Indramayu, Subang, Purwakarta, Karawang, dan Bandung Barat sedangkan pada cluster 2 dengan kategori pengangguran tinggi meliputi kota/kabupaten Bogor, Bekasi, Bandung, dan Depok
Pendidikan Dan Pelestarian Kearifan Lokal: Studi Komparatif Tradisi Kampung Adat Cireundeu Fatmawati, Fitri; Nurjanah, Nurul; Juniati, Asti; Septianingsih; Maulana, Ana
Jurnal Pendidikan Kewarganegaraan dan Politik Vol. 2 No. 2 (2024): Jurnal Pendidikan Kewarganegaraan dan Politik
Publisher : CV. Kurnia Grup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61476/sy3mtm88

Abstract

The purpose of this study is to investigate how education in the Cireundeu Traditional Village contributes to the preservation of local knowledge, particularly with regard to understanding cultural values ​​and customs that have passed down through the generations. The Cireundeu Traditional Village case study employs a qualitative methodology that includes in-depth interviews with community members, educators, and traditional authorities. The study's findings show that formal and informal education are integrated in Cireundeu, where traditional and cultural values ​​are taught through everyday activities and formal education in schools. Furthermore, this study discovered that the Cireundeu community's customs are successfully maintained and preserved using this local wisdom-based strategy. According to the study's findings, the government should support the incorporation of local wisdom into Indonesia's formal education system since it can serve as a template for cultural preservation in other areas.
Identify Factors Affecting Bid Value Below 80% in the Procurement of Construction Goods or Services Nurjanah, Nurul; Soekiman, Anton
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2406

Abstract

Competition for construction service is more competitive, the ability to win the tenders is an indicator of success in competition. The method of selecting the service provider with the lowest price often leads to different interpretations. It can be seen from the number of bids below 80% which continues to increase. This research aims to identify the value of the factors that influence the supply below 80%, analyze the dominant factors that have the most influence, and determine the respondents' views based on the company's qualifications in determining the factors that influence the occurrence of bids below 80%. The research method uses the Relative Importance Index (RII). The result of this research obtained 24 factors that affect the value of the offer under 80%. From these 24 factors, ten dominant factors were found, such as (1) the type of project; (2) Project duration; (3) Government Regulations; (4) the risk of carrying out the work; (5) Fluctuations in resource prices; (6) availability of qualified staff; (7) Past failures/profits in similar projects; (8) Tender method (open/close); (9) availability of required funds and office overhead; and (10) Document completeness and design quality.
Co-Authors Ana Maulana, Ana Anton Soekiman Fitri Fatmawati, Fitri Juniati, Asti Prihartono, Willy Septianingsih Suarna, Nana