Repositori Universitas Malikussaleh
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Peer Review karya Ilmiah : Laju Asimilasi Bersih dan Laju Tumbuh Relatif Varietas Padi Toleran Kekeringan Pada Sistem Sawah
Get PDFPengecekan Plagiat/Similirity Paper : Climate-based Land Optimization to Increase Agricultural Production in Banten Province
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Lembar Penilaian Teman Sejawat Jurnal: Mapping of Soil Infiltration Rate in Krueng Meueh Watershed Aceh Province
Get PDFANALISIS RISIKO KREDIT USAHA PADA NASABAH PT. BANK BRI (STUDI KASUS BRI UNIT T. NYAK ARIEF)
Get PDFPersoalan kredit macet selalu saja menjadi berita dalam berbagai harian lokal maupun nasional yang terbit di Indonesia. Keberadaan kredit macet dalam dunia perbankan merupakan suatu penyakit kronis yang sangat mengganggu dan mengancam sistem perbankan Indonesia yang harus diantisipasi oleh semua pihak terlebih lagi keberadaan bank mempunyai peranan strategis dalam kegiatan perekonomian Indonesia. Penelitian ini dilakukan untuk melihat besarnya risiko pemberian kredit ditinjau dari
penyelesaian kredit macet pada kasus kredit usaha Bank BRI Unit T. Nyak Arief periode 2009-2011, baik untuk kredit komersial non KUR maupun komersial KUR. Untuk
menganalisis risiko pemberian kredit dianalisis dengan menggunakan rumus NPL. Hasil penelitian diperoleh bahwa kredit yang disalurkan Bank BRI pada tahun 2009 untuk kredit komersial non KUR diperoleh NPL antara 5,41 persen sampai 6,68 persen artinya kredit komersial non KUR pada tahun 2009 mengalami masalah di mana nasabah banyak yang
menunggak dalam pembayaran kredit. NPL untuk kredit komersial non KUR pada tahun 2010 diperoleh antara 4,66 persen sampai 3,11 persen artinya kredit komersial non KUR pada tahun 2010 tidak mengalami masalah yang berarti atau nasabah sudah lancar kembali dalam pembayaran kredit. NPL untuk kredit komersial non KUR pada tahun 2011 diperoleh antara 2,47 persen sampai 2,01 persen artinya kredit komersial non KUR pada Bank BRI pada tahun 2011 semakin lancar nasabah dalam melakukan pembayaran kredit. NPL untuk kredit komersial KUR pada tahun 2009 diperoleh antara 6,21 persen sampai 7,82 persen artinya tingkat pengembalian kredit mengalami masalah atau kredit KUR yang diberikan memberikan risiko relatif tinggi bagi bank. NPL untuk kredit komersial KUR pada tahun 2010 diperoleh antara 6,06 persen sampai 4,81 persen artinya tingkat pengembalian kredit masih diragukan tingkat kelancarannya. NPL untuk kredit komersial KUR pada tahun 2010 diperoleh antara 4,32 persen sampai 3,21 persen artinya tingkat pengembalian kredit oleh nasabah semakin lancar.
Kata Kunci: Risiko Kredit Usah
OPINION MINING ABOUT PARFUM ON E-COMMERCE BUKALAPAK.COM USING THE NAÏVE BAYES ALGORITHM
Get PDFInformation plays a very important role in the rapid development ofthe world. Many people use online media to search for information, one of which is to find out information about the negative or positive of a product in e-commerce based on the comments that exist. To find out the classification of all comments-comet takes quite a long time in reading it. So,to make it easier than that all made a classification system to determine the classification of comments. In this classification process, the Naive Bayes algorithm is used as a solution to the problem. The process with the Naïve Bayes algorithm requires training data which is used as learning material from the system. The training data used is taken from one e-commerce site, Bukalapak.com regarding perfume products. Taking comments from Buakalapak.com used crawling techniques to retrieve comments from the whole product. The training data needed in this system is 1000 comments consisting of 500 positive training comments and 500 negative training comments. To get the accuracy value, it requires 300 test comments consisting of 150 positive test comments and 150 negative test comments. From the results of testing with Naive Bayes, the accuracy rate can be quite good, namely with a precision value of 96.44%, 96.34% recall,and an accuracy of 96.33%
Virtual jihadism: Netnographic analysis on trends of terrorism threats
Get PDFThis article examines how the Islamic State of Iraq and Syria (ISIS) has been using terrorism to rebel in order to establish their own superstate, leading to the outbreak of a civil war in Iraq and Syria. To this end, ISIS has intensified the use of the internet and Telegram in the global arena massively and intensively. In this context, by using netnography—a method for analysing all human activities and cultures related to qualitative internet use—we can observe the cruelty of the transnational jihadism in spreading a model of the Islamic State of Iraq and Syria through harassment and hostility, virtually. This movement has tried to mobilise civil war and terrorism through cyberspace, involving businessmen, foreign adventurers, transnational and domestic terrorists. The main objective of this article is to show the shift from the real battleground toward virtual hostilities where the internet and applications like Telegram have created major changes, both theoretically and practically, in the world of communication. People live in cyberspace (online) just like in real life (offline). Internet users chat and exchange ideas with each other, virtually in various parts of the world—as if they live in a global village. However, the use and abuse of the internet and other virtual applications by ISIS supporters and sympathisers has eventually pushed international communities and governments to work together to fight against this global terrorism.
Keywords: netnography, cyberterrorism, ISIS, internet,Telegra
PEER REVIEW: Fuzzy multi-objective optimization for wheat flour supply chain considering raw material substitution
Get PDFThis study aimed to develop a multi-objective optimization model of the wheat flour supply
chain considering raw material substitution in which supplier capacity and product demand
were considered in uncertain conditions. There are four objectives to be achieved: to minimize
the total cost and to maximize product quality, reliability, and local flour usage. We
established multi-objective fuzzy mixed integer non-linear programming to solve the problem
and used non-dominated sorting genetic algorithm (NSGA) II methods to found the best
solution. The result provides a referral for a decision maker to design the optimal substituted
wheat flour supply chain
