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Status Kritis Dua Jenis Badak di Indonesia Sadjudin, Haerudin R.; Syamsudin, Mochammad; Ramono, Widodo Sukohadi
Al-Kauniyah: Jurnal Biologi Vol 6, No 1 (2013): Al-Kauniyah Jurnal Biologi
Publisher : Department of Biology, Faculty of Science and Technology, Syarif Hidayatullah State Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/al-kauniyah.v6i1.2832

Abstract

There are five species of rhinoceros in the world, two types of African (Diceros bicornis and Ceratotherium simum) and three species in Asia (Rhinoceros unicornis, Rhinoceros sondaicus and Dicerorhinus sumatrensis). Indonesia has two types, namely: the Javan rhino (Rhinoceros sondaicus Desmarest, 1822) and the Sumatran rhino (Dicerorhinus sumatrensis Fischer, 1814).Both types of rhino in Indonesia is not endemic wildlife, but it is a species relich; formerly spread is very wide, but now in addition to the steadily declining population is also more limited distribution. This happens because it is caused by the conversion of forests as a habitat for rhinos, plantations, settlements, and exploitation of space for various purposes. Hunting of two species of rhinoceros also has a long history, so that a distribution in some places have been lost; as well as the habitat that has been designated as a conservation area too, the population in the last 35 years continues to decline. Therefore both the rhino species has been categorized by the IUCN (International Union of Conservation of Nature and Natural Resources) as critical or threatened species (Critical Endangered Species), highly endangered species. Due to the critical status, then efforts were made to save him. But it seems these efforts have not maximized, because not all potential or the ability  multi-party support to carry out rescue from extinction.
Application of Data Mining with Apriori Algorithm on Furniture Sales to Support Business Intelligence Syamsudin, Mochammad; Nathasia, Novi Dian; Kadir, Shaifany Fatriana
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 3 (2025): October
Publisher : Lumina Infinity Academy Foundation

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Abstract

This study explores the application of Data Mining using the Apriori algorithm in furniture sales to support Business Intelligence. The research process includes collecting weekly transaction data, forming frequent itemsets, analyzing association rules using metrics such as support, confidence, and lift, and integrating the results into business strategies. The findings indicate that tables, wardrobes, and bookshelves have the highest purchase rates at 100%, followed by cabinets at 83.33%, chairs at 91.67%, and sofas at 66.67%. Strongly associated itemsets, such as {Table, Bookshelf} and {Wardrobe, Cabinet}, provide valuable insights for business owners in designing marketing strategies, maintaining stock availability, and enhancing customer satisfaction. Utilizing the Apriori algorithm, this study successfully identifies significant purchasing patterns that can be used to drive sustainable business growth in the furniture industry.