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All Journal Jurnal Inovasi Teknologi Pendidikan Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal SOLMA International Journal of New Media Technology Jurnal ULTIMA InfoSys Jurnal ULTIMATICS Jurnal ULTIMA Computing Jurnal Inovasi Informatika JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Prosiding Konferensi Nasional PKM-CSR Aptekmas : Jurnal Pengabdian Kepada Masyarakat Prioritas : Jurnal Pengabdian Kepada Masyarakat
Adhi Kusnadi
Universitas Multimedia Nusantara
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Journal : jurnal ultima infosys

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Rancang Bangun Sistem Informasi Untuk Menentukan Kapabilitas Konsumen Dalam Mengambil Pinjaman KPR Adhi Kusnadi; Risyad Ananda Putra
ULTIMA InfoSys Vol 7 No 2 (2016): UltimaInfoSys :Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.18 KB) | DOI: 10.31937/si.v7i2.543

Abstract

Indonesia is one country that has a relatively large population . The government in the period of 5 years, annually hold a procurement program 1 million FLPP house units. This program is held in an effort to provide a decent home for low income people. FLPP housing development requires good precision and speed of development on the part of the developer, this is often hampered by the bank process, because it is difficult to predict the results and speed of data processing in the bank. Knowing the ability of consumers to get subsidized credit, has many advantages, among others, developers can plan a better cash flow, and developers can replace consumers who will be rejected before entering the bank process. For that reason built a system that can help developers. There are many methods that can be used to create this application. One of them is data mining with Classification tree. The results of 10-fold-cross-validation applications have an accuracy of 92%. Index Terms-Data Mining, Classification Tree, Housing, FLPP, 10-fold-cross Validation, Consumer Capability
Rancang Bangun Plugin WordPress Penghitung Kepadatan Kata Kunci Adhi Kusnadi; Tirta Prawisuda
ULTIMA InfoSys Vol 7 No 2 (2016): UltimaInfoSys :Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (835.284 KB) | DOI: 10.31937/si.v7i2.546

Abstract

In optimizing a website, web owners are required to write articles that relate to the keywords and put into the website. Therefore is needed a keyword density plugin app to calculate keywords and suggest an article content writer to add or subtract keywords in the article. The keyword density counter is an app that counts keywords in an article. The results obtained from this application is the ratio of keywords to existing words of the pages of websites or articles. The benefits of using keyword density counters are content writers becoming aware that articles already have enough density, according Google's recommendation keywords density is 2-3% of article, then the article will give a signal to search engines. Results obtained is the same for validation plugin calculations after. Compared to other similar plugins. Keyword density counters have been created with 50.85% faster than other similar plugins. Index Terms—keyword, density, counter, article, plugin.
Co-Authors Abi Kabisah Maulillah Abraham Khrisnandi Wicaksono Alethea Suryadibrata Alvin Hanjaya Tandrian Angga Aditya Permana Anggita Nauli Marpaung Daniel Daniel Dennis Gunawan Edwin Kurniawan Elisabet Dela Marcela Eunike Endariahna Surbakti Farica Perdana Putri Fenina Twince Tobing Istiono, Wirawan Ivransa Zuhdi Pane Jansen Pratama Johan Setiawan Joshua Suharyadi Lionissa Ratnawati Darmawan Marcia Juvanie Chang Maria Irmina Prasetiyowati Marlinda Vasty Overbeek Mitha Anggreani Rupang Moeljono Widjaja Muhammad Dzulfiqar Ramadhan Wibawanto Natasya Yuasan Ni Made Satvika Iswari Niki Prastomo Nunik Afriliana Olivia Benazir Ester Tiwow PM Winarno Rangga Winantyo Raul Andrian Risyad Ananda Putra Syarief Gerald Prasetya Syifa Fauziyah Tirta Prawisuda Vincent Anderson Ngadiman Waworuntu, Alexander Wella Wella Yaman Khaeruzzaman