1,720,957 research outputs found
Analisis Data Tanaman Padi di Indonesia Menggunakan Power BI
Get PDFRice plants are the most important plant because they are a staple food source for Indonesian people. The population growth is quite large and followed by an uneven level of rice production is certainly a serious problem for Indonesia in meeting national food needs. Information on government policies in the development of rice commodities is very important because these commodities have an important role in maintaining the stability of national food needs. BPS - Statistics Indonesia is an institution that has a variety of census and survey data in very large sizes. So that the data can be processed into more valuable information, a business intelligence application is needed that can visualize the data so that it can display regional information with high and low rice production and productivity. This data grouping aims to facilitate users in obtaining information about the production and productivity of rice plants in each region in Indonesia so that it can be a reference for the Ministry of Agriculture in the formulation and stipulation of policies in the field of agricultural infrastructure and facilities, increasing rice production and other agriculture. In this study, one of the business intelligence software was used to classify the rice crop data and its visualization. Tanaman padi merupakan tanaman yang paling penting karena merupakan sumber makanan pokok masyarakat Indonesia. Pertumbuhan penduduk yang cukup besar dan diikuti dengan tingkat produksi padi yang tidak merata tentu menjadi masalah serius bagi Indonesia dalam mencukupi kebutuhan pangan nasional. Informasi kebijakan pemerintah dalam pengembangan komoditas padi sangatlah penting karena komoditas ini memiliki peran penting dalam menjaga stabilitas kebutuhan pangan nasional. Badan Pusat Statistik adalah lembaga yang memiliki berbagai data sensus dan survei dalam ukuran yang sangat besar. Agar data tersebut dapat diolah menjadi informasi yang lebih bernilai dibutuhkan sebuah aplikasi business intelligence yang dapat memvisualisasikan data-data tersebut sehingga dapat menampilkan informasi daerah dengan produksi dan produktivitas padi yang tinggi maupun yang rendah. Pengelompokan data ini bertujuan untuk mempermudah pengguna dalam mendapatkan informasi mengenai produksi dan produktivitas tanaman padi di setiap daerah di Indonesia sehingga dapat menjadi acuan bagi Kementerian Pertanian dalam perumusan dan penetapan kebijakan di bidang penyediaan prasarana dan sarana pertanian, peningkatan produksi padi dan pertanian lainnya. Pada penelitian ini digunakan salah satu business intelligence software untuk dapat mengelompokkan data tanaman padi serta visualisasiny
Pembangunan Dashboard Lokasi Rawan Tanah Longsor di Indonesia Menggunakan Tableau
Get PDFIndonesia's geographical location is encountered by three major plates of the world causing the land of Indonesia is prone to landslide disaster. A landslide disaster can cause material and immaterial damage. The National Board for Disaster Countermeasure (BNPB) is an institution that has data on the disaster in large size including landslide natural disaster. So that the data can be processed into information more valuable, it required an application that can visualize the data so that it can display information in the form of disaster-prone areas and safe from disaster, especially landslides. The implementation of business intelligence is very suitable for this case so that BNPB can classify the disaster, especially landslide in every territory in Indonesia to facilitate the public get information about landslide disaster that happened and can become a reference in disaster mitigation preparedness. This research uses one of business intelligence software that is Tableau to show visualization in the form of a dashboard about landslide disaster that happened in Indonesia. 
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN IMAM SHALAT MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION
No full textIndonesia merupakan negara dengan populasi muslim terbanyak di dunia. Salah satu rukun Islam yang paling penting adalah shalat karena merupakan tiang agama dan mempunyai pengaruh yang baik bagi kondisi akhlaq manusia. Mengerjakan shalat lebih diutamakan dilaksanakan secara berjama’ah, untuk melaksanakan sholat berjemaah dibutuhkan seorang imam. Pada penelitian ini dibangun sebuah aplikasi yang menerapkan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk pemilihan imam masjid atau musala sesuai dengan kriteria yang ditetapkan dalam syariah Islam sehingga dapat mengurangi kekeliruan pengurus masjid/musala dalam perekrutan imam shalat..
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
IMPLEMENTASI BUSINESS INTELEGENCE UNTUK MENENTUKAN TREN EKSPOR PERIKANAN NASIONAL MENGGUNAKAN SOFTWARE IBM WASTON ANALYTICS
Get PDFPerkembangan teknologi informasi membuat data semakin melimpah dan persaingan bisnis menjadi lebih ketat. Banyaknya data yang terkumpul dapat memperlambat dalam perolehan informasi yang mengakibatkan proses pengambilan keputusan yang kurang efektif. Indonesia adalah negara maritim dengan sumber daya laut yang melimpah. Kementerian Kelautan dan Perikanan merupakan lembaga yang memiliki data-data mengenai kelautan dan perikanan di Indonesia dalam ukuran besar, salah satunya data ekspor perikanan nasional. Supaya data tersebut dapat dikelola menjadi informasi yang bernilai, diperlukan sebuah software BI (Business Intellegence) untuk dapat menampilkan visualisasi mengenai ekspor perikanan nasional, sehingga dapat menjadi acuan untuk analisis informasi pasar, serta penanganan hambatan ekspor hasil kelautan dan perikanan di luar negeri. Pada penelitian ini menggunakan salah satu software BI yakni IBM Waston Analytics untuk dapat mengetahui tren ekspor perikanan nasional
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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