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Analisis Cluster K-Means dengan Metode Elbow untuk Menentukan Pola Penjualan Produk Traffic Room Summarecon Mal Bekasi Prasetya, Ajie; Salkiawati , Ratna; Alexander , Allan D
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/pytp8448

Abstract

An effective sales strategy in the fashion retail business is essential to determine the success of the company or store. Like the Traffic Room store, which is a vintage fashion retail store that sells a variety of products. Although there are many products on sale, this store has not utilized sales data to determine product sales patterns, causing negative impacts such as there are still many products that are in short supply and products are not sold with predetermined targets. So the purpose of this study is t o determine product sales patterns in order to improve product inventory. To solve this problem, the analysis used is the K-Means algorithm to find product sales patterns assisted by the elbow method in determining the optimal cluster. As well as the flow in this research process is the CRISP-DM method with steps namely business understanding, data understanding, data preparation, modeling, evaluation and deployment. The results of this study obtained 4 clusters, namely cluster 2 or very in demand there are 2 products, cluster 3 or in demand there are 5 products, cluster 1 or quite in demand there are 5 products and cluster 4 or less in demand there are 3 products. The evaluation results get the optimal Sum of Square Error (SSE) value of 594,366.733 or 65.5%. From the evaluation results, it means that the performance of the K-Means algorithm used is good.
Analisis Cluster K-Means dengan Metode Elbow untuk Menentukan Pola Penjualan Produk Traffic Room Summarecon Mal Bekasi Prasetya, Ajie; Salkiawati , Ratna; Alexander , Allan D
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5xve0445

Abstract

An effective sales strategy in the fashion retail business is essential to determine the success of the company or store. Like the Traffic Room store, which is a vintage fashion retail store that sells a variety of products. Although there are many products on sale, this store has not utilized sales data to determine product sales patterns, causing negative impacts such as there are still many products that are in short supply and products are not sold with predetermined targets. So the purpose of this study is t o determine product sales patterns in order to improve product inventory. To solve this problem, the analysis used is the K-Means algorithm to find product sales patterns assisted by the elbow method in determining the optimal cluster. As well as the flow in this research process is the CRISP-DM method with steps namely business understanding, data understanding, data preparation, modeling, evaluation and deployment. The results of this study obtained 4 clusters, namely cluster 2 or very in demand there are 2 products, cluster 3 or in demand there are 5 products, cluster 1 or quite in demand there are 5 products and cluster 4 or less in demand there are 3 products. The evaluation results get the optimal Sum of Square Error (SSE) value of 594,366.733 or 65.5%. From the evaluation results, it means that the performance of the K-Means algorithm used is good.
Peran Hukum Dalam Pembangunan Dengan Pendekatan Economic Analysis Of Law Prasetya, Ajie; Sigalingging, Yulia Emma; Santoso, Aris Prio Agus
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 7, No 1 (2023): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Januari)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v7i1.4126

Abstract

Indonesia pada saat ini sedang mengalami multi krisis yang salah satunya adalah krisis penegakkan hukum. Permasalahan penegakan hukum dalam masyarakat merupakan hal yang sangat urgent, mengingat eksistensi hukum itu sendiri tidak bisa dilepaskan dari kehidupan bermasyarakat dan bernegara. Tujuan penelitian ini adalah untuk mengetahui bagaimana peran hukum dalam pembangunan dengan pendekatan economic analysis of law. Metode penelitian yang digunakan adalah dengan pendekatan konseptual approach yang diperoleh dari data sekunder atau studi kepustakaan. Sifat penelitian yang dipakai dalam penelitian ini adalah prescriptive design. Hasil penelitian selanjutnya dianalisis secara kualitatif. Berdasarkan hasil penelitian menunjukkan bahwa hukum memiliki peran yang sangat sentral dalam keberhasilan pembangunan ekonomi suatu negara, khususnya dalam memberikan kepastian usaha dan investasi. Hukum dapat menyediakan kondisi yang dapat memacu tumbuhnya pembangunan ekonomi serta untuk menjaga hubungan antar berbagai elemen dan para pelaku ekonomi. Peranan hukum dalam pembangunan ekonomi berarti penggunaan pertimbangan-pertimbangan ekonomi untuk menyelesaikan masalah, dan penggunaan alat atau konsep teknik analisis.  Pembangunan yang baik adalah pembangunan yang dilakukan secara komprehensif yang harus memperhatikan pelaksanaan jaminan perlindungan hak-hak asasi manusia warga negaranya, baik hak-hak sipil, maupun hak ekonomi, sosial dan budaya. Ada lima kualitas hukum yang kondusif bagi perencanaan dan pelaksanaan pembangunan, yaitu; stabilitas, dapat diramalkan, keadilan, pendidikan, dan pengembangan profesi hukum. Kelima kualitas hukum tersebut bertujuan untuk menciptakan suatu kepastian hukum, penciptaan kondisi ekonomi yang sesuai dengan kebutuhan pasar.