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All Journal Kertha Semaya (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
I Putu Ananta Wijaya
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Computer Science & IT Law, Crime, Criminology & Criminal Justice

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RELEVANSI KESEPAKATAN PAKET BALI DENGAN UNDANG-UNDANG NOMOR 25 TAHUN 2007 TENTANG PENANAMAN MODAL I Putu Ananta Wijaya; A. A. Sagung Wiratni Darmadi
Kertha Semaya : Journal Ilmu Hukum Vol 4 No 1 (2016)
Publisher : Fakultas Hukum Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (35.341 KB)

Abstract

Makalah ini berjudul “Relevansi Kesepakatan Paket Bali dengan Undang-Undang Nomor 25 Tahun 2007 Tentang Penanaman Modal”. Diselenggarakannya Konfrensi Tingkat Menteri ke-9 bagi negara-negara anggota World Trade Organization menghasilkankesepakatan Paket Bali. Salah satu poin penting Paket Bali yang erat kaitannya dengan sistem penanaman modal di Indonesia terdapat dalam poin (2) tentang fasilitasi perdagangan. Tujuan dari penulisan makalah ini adalah untuk menganalisis sejauh mana relevansi kesepakatan Paket Bali khususnya dalam poin tentang fasilitasi perdagangan dengan Undang-Undang Nomor 25 Tahun 2007 Tentang Penanaman Modal. Makalah ini mempergunakan metode penelitian normatif. Relevansi kesepakatan Paket Bali khusunya dalam poin tentang fasilitasi perdagangan dengan Undang-Undang Nomor 25 Tahun 2007Tentang Penanaman Modal tercemin dalam ketentuan Pasal 18 ayat (1), (2) dan ayat (4) dimana secara garis besar dalam rumusan pasal-pasal tersebut ditentukan mengenai pemberian fasilitas-fasilitas penunjang kegiatan penanaman modal bagi para penanam modal.Terhadap hal ini terdapat pembatasan, hanya para penanam modal yang telah memenuhi kriteria-kriteria sebagaimana dimaksud dalam Pasal 18 ayat (3) yang berhak atas fasilitas-fasilitas tersebut.
Klasterisasi Customer Lifetime Value Pelanggan Menggunakan K-Means pada Online Travel Agency I Putu Ananta Wijaya; I Ketut Gede Suhartana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2024.v12.i04.p01

Abstract

Product sales are found in companies operating in the e-commerce sector, one of which is an online travel agency (OTA). Post covid-19, companies are on the rise with more and more competition emerging and customers turning to e-commerce competitors. Maintaining relationships from one customer to another is necessary. Historical customer transaction data can be used to perform clustering. Before that, an RFM model was created, namely recency, frequency and monetary so that customer lifetime value could be calculated. The clustering used is K-Means because it is simple and efficient. Determining the optimal number of clusters uses the Gap Statistics method. The number of clusters will be validated for separation using the Davies Bouldin Index method. Each data cluster is then searched for the average value for each feature of the RFM model. The result will be multiplied by the weight obtained from the AHP. The cluster with the highest loyalty was found in cluster 2, namely 0.0297. The frequency feature value in cluster 2 is also the highest value. This indicates that cluster 2 is the customer with the highest loyalty value. Companies can design strategies for customers with programs such as giving discounts or points. Meanwhile, in the cluster with the lowest loyalty value, a personalized product program can be created.
Co-Authors Anak Agung Sagung Wiratni Darmadi I Ketut Gede Suhartana