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All Journal Teknika Jurnal Pengabdian Masyarakat AbdiMas IJISTECH (International Journal Of Information System & Technology) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) IJISTECH Journal Automation Computer Information System (JACIS) The Indonesian Journal of Computer Science Research Intechno Journal : Information Technology Journal JURNAL MULTIDISIPLIN BHATARA
Seniwati, Erni
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Social Sciences

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Journal : Intechno Journal : Information Technology Journal

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Penerapan Metode Simple Additive Weighting Untuk Menentukan Siswa Penerima Bantuan Dana SMK PL Leonardo Klaten Pangemanan, Robertus Aldrin; Seniwati, Erni
Intechno Journal : Information Technology Journal Vol. 5 No. 2 (2023): December
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2023v5i2.572

Abstract

SMK PL Leonardo Klaten has a program that is held every month to provide relief fund to students. Decision making in the selection process is currently still done manually, thus requiring more time and allowing for inaccurate selection results due to a lack of thoroughness which can lead to wrong targeting. To solve this problem, a decision support system was designed using the Simple Additive Weighting (SAW) method so that the selection process would be more accurate, efficient and easier for the SMK PL Leonardo Klaten to determine which students are entitled to receive relief fund. The implementation of this decision support system has succeeded in displaying a ranking that can be used as consideration for determining students who receive relief fund at SMK PL Leonardo Klaten. The level of match between the results of manual calculations and the results of system calculations is the same and produces an accuracy of 100% which indicates that the calculation of the SAW method on the system is correct.
PREDIKSI PRODUK DISKON UNTUK PENJUALAN KOKO SHOPE MENGGUNAKAN ALGORITMA APRIORI Imran, Muhammad Khamjah Bin; Seniwati, Erni
Intechno Journal : Information Technology Journal Vol. 2 No. 1 (2020): July
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2020v2i1.1541

Abstract

Koko shope merupakan sebuah toko yang menjual barang-barang yang berhubungan dengan k-pop. Seiring berjalan nya waktu, data transaksi pada koko shope semakin menumpuk dan hal ini akan sia-sia apabila dibiarkan begitu saja. Algoritma Apriori adalah suatu algoritma yang digunakan untuk penentuan frequent itemsets pada aturan asosiasi Boolean. Algoritma apriori termasuk jenis aturan asosiasi pada data mining. Analisis asosiasi atau association rule adalah tehnik pada data mining yang di gunakan untuk menemukan aturan suatu kombinasi item. Suatu aturan asosiasi dapat diketahui dengan dua parameter , yaitu support dan confidence. Support (nilai penunjang) adalah presentase kombinasi item tersebut dalam basis data, sedangkan confidence (nilai kepastian) adalah kuatnya hubungan antar item dalam aturan asosiasi Keluaran dari algoritma ini merupakan sebuah aturan asosiasi yang terdiri dari beberapa kombinasi itemset, yang bisa digunakan untuk membantu dalam memperbaiki pengambilan keputusan dimasa yang akan datang. Salah satu manfaat dari pengambilan keputusan ini adalah sebagai bahan rekomendasi pembuatan sebuah bundel diskon barang berdasarkan aturan asosiasi yang terbentuk agar promo yang dibuat dapat tepat sasaran dan sesuai kebutuhan pasar.
Co-Authors Achmad Lukman, Achmad Acihmah Sidauruk Ali Mustopa, Ali Arief Setyanto Eko Riswanto, Eko Gibran, Ibrahim El Hafiyyan, Azka Haryoko, H Haryoko, Haryoko Imran, Muhammad Khamjah Bin Isnaini , Septi Fajar JOKO DWI SANTOSO Mulyatun, Sri Nila Feby Puspitasari, Nila Feby NINIK TRI HARTANTI Noviana , Zakia Rahmadhani Pangemanan, Robertus Aldrin Prastio, Sabib Pratama, Fiki Rahman, Bahtiar Rina Pramitasari Sari , Yulviani Puteri Puspita Sari, Rizka Amelia Setiawanto, Irwan Shahruri, Rifandi Annas Sudarmanto Sudarmanto, Sudarmanto TONNY HIDAYAT Wulandari, Evita Sekar Yuli Astuti