bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS VIRTUAL REALITY UNTUK MENINGKATKAN HASIL BELAJAR PESERTA DIDIK SEKOLAH DASAR
Authors: Supriadi Mardiki , Hignasari L. Virginayoga
Published: January 2020

Educators use various methods to explain the material so that learning objectives can be achieved, one of the methods is by utilizing learning media. The purpose of using learning media in learning activities is to facilitate communication and learning. The use of media in learning activities aims to attract the attention of students and strengthen their concentration when receiving material from educators.The development of virtual reality media is an effort to realize educational goals. One of the success of learning lies in the ability of students' learning outcomes. Learning outcomes are very important for students as a benchmark of the extent to which students understand the material delivered by educators. Virtual reality media make learning outcomes the basis of development. The purpose of this study is to produce products in the form of virtual reality media to improve learning outcomes of elementary school students.This research is a development research with 4D development model from Thiagarajan. This development model consists of the stages define (design), design (design), develop (development), and disseminate (deployment). The research and development stage is carried out until the disseminate stage with the publication of articles and a trial process to students which is done on a limited basis. Data collection instruments in the form of a questionnaire distributed to experts in the material, media, and field application.Student learning outcomes of the experimental class and the control class can be concluded that the virtual reality-based learning media used in the experimental class are stated to be more effective and can improve student learning outcomes by a percentage of 100% while the control class gets 77.3%.Keywords: learning media, virtual reality, learning outcomes
ANALISA METODE WEIGHTED SUM MODEL (WSM) PENERIMA KARTU INDONESIA PINTAR (KIP) KEPADA SISWA/I DI SD (SEKOLAH DASAR)
Authors: Saragih Marlina Drawati , Tambunan Heru Satria , Dewi Rafiqa
Published: January 2020

Indonesia Smart Card is a cash assistance from the government given to students whose parents are less able to finance their education. As a continuation and expansion of the objectives of the Poor Student Assistance (BSM) program. KIP has the goal of increasing access for children aged 6 (six) to 21 (twenty one years). In Primary School 091329 in the recipient of the Smart Indonesia Card faces many problems As students who are entitled to receive assistance actually do not receive. because of that there were protests and demonstrations caused by Kartu Indonesia Pintar which were not on target. The criteria for Indonesian card recipients are smart social protection card holders, parents' income, no vehicles, no dependents, orphans. In its implementation, it certainly has obstacles in deciding who students get the smart Indonesian card. To solve the problem, a weighted Sum Model (WSM) decision support system can overcome this problem. By applying the Weighted Sum Model (WSM) which is relatively easy and fast, it is believed to be able to get the best results. This research can provide information to the school in the recipient of the Indonesia Smart Card (KIP) for the following year. Keywords: SPK, Weighted Sum Model (WSM), Receiver of Smart Indonesia Cards
ANALISA KLASIFIKASI DATA MINING PADA TINGKAT KEPUASAN PENGUNJUNG TAMAN HEWAN PEMATANG SIANTAR DENGAN ALGORITMA
Authors: Batubara Dinda Nabila , Windarto Agus Perdana
Published: January 2020

The purpose of the study is to provide recommendations for the satisfaction of visitors to the animal park using the C4.5 datamining classification data laminating technique. Data sources were obtained from interviews with the management of the Pematangsiantar City Animal Park and the giving of questionnaires to random visitors as many as 150 people. Attributes used as parameters for assessing visitor satisfaction include: Ease of access to locations (C1), Infrastructure Facilities (C2), Parking lots (C3), Security (C4), Service Officers (C5) and Cleanliness (C6). The results of processing the C4.5 method using the help of RapidMiner software are the attributes of infrastructure (C2) and service officers (C5) being the attributes that most influence the level of satisfaction of visitors to the park. And the performance data shown on the suitability of the C4.5 method with the satisfaction of visitors to the animal park is 95%Keywords: Datamining, Classification, C4.5 Method, Visitors, Satisfaction, Animal Park
PENERAPAN METODE K-MEDOIDS CLUSTERING PADA PENANGANAN KASUS DIARE DI INDONESIA
Authors: Hardiyanti Fitriani , Tambunan Heru Satria , Saragih Ilham Syaputra
Published: January 2020

Diarrhea is a condition in which a person defecates in a runny or liquid form and occurs repeatedly. Diarrhea can cause the loss of large amounts of water and substances needed by the body. Diarrhea is one of the health problems in developing countries, especially in Indonesia both in urban and rural areas. Diarrhea morbidity rates around 200-400 occurrences among 1000 residents each year. Thus in Indonesia there can be around 60 million incidents each year, most (70-80%) of these sufferers are children under five years (BALITA). Some patients (1- 2%) will fall into dehydration and if not immediately helped 50-60% of them can die. This group experiences more than one incidence of diarrhea every year. K-Medoids Algorithm Clustering is one of the algorithms used for to group data.Keywords: Data Mining, K-Medoids, Clustering, Diarrhea
PENERAPAN K-MEDOID PADA RUMAH TANGGA YANG MEMILIKI SUMBER PENERANGAN LISTRIK PLN BERDASARKAN PROVINSI
Authors: Astria Cici , Windarto Agus Perdana , Hartama Dedy
Published: January 2020

Electricity has now become something that is very much needed in daily life, every household has used PLN electricity lighting sources. However, there are also some regions in Indonesia that have not been able to enjoy good and even electric lighting. The data source used from the Indonesian Statistics Agency website is the Percentage of Household Data by Province and Treatment, 2013-2014. This study aims to classify households that have a source of electricity for PLN using the datamining algorithm with K-Medoid. The data is processed into 2 clusters, namely high level clusters (C1) and low level clusters (C2). Where the results of this study concluded from 33 provinces in Indonesia that the cluster level of low waste sorting behavior (C1) obtained 11 provinces namely Aceh, Kep. Bangka Belitung, DKI Jakarta, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, and North Sulawesi and 23 other provinces are included in the low-level cluster (C2).Keywords: Electricity, Datamining, K-Medoid, Clustering, Household Sources
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SMARTPHONE TERBAIK MENGGUNAKAN METODE TOPSIS
Authors: Eryzha Anggi , Solikhun Solikhun , Irawan Eka
Published: January 2020

Smartphones are a primary need for all upper class and lower class people. As these needs are many smartphone vendors that offer different prices, features, systems and technologies at competitive prices. Many people want specifications that are capable but limited in financial terms. This causes smartphone users not to be able to make the right choice according to their needs because the frequent selection of smartphones is based on prestige and consumer consumptive behavior. The TOPSIS method is a multicriteria method used to identify solutions from alternative sets based on simultaneous minimization of the ideal point distance and maximizing the distance from the lowest point. The expected results can be input to potential smartphone buyers in accordance with their finances and qualified specifications.Keywords: Decision Support System, Topsis Method, Smartphone.
MENGKLUSTER JUMLAH KABUPATEN/KOTA YANG MELAKSANAKAN KAWASAN TANPA ROKOK (KTR) DI 50% SEKOLAH MENURUT PROVINSI DENGAN K-MEDOIDS
Authors: Febrianti Erika , Sembiring Rahmat W , Suhada Drs.
Published: January 2020

A non-smoking area (KTR) is a room or area that is declared prohibited from engaging in smoking, producing, selling, advertising, promoting, or promoting tobacco products. The problem of smoking is still a national problem that needs to be continuously addressed, because it involves various aspects of problems in life, namely economic, social, political aspects, especially health aspects. It is estimated that more than 40.3 million children live with smokers and are exposed to cigarette smoke in their environment and are referred to as passive smokers. Meanwhile, we know that children who are exposed to secondhand smoke can have an increased risk of developing bronchitis, pneumonia, middle ear infections, asthma, and slowed lung growth. This early health damage can cause poor health in adulthood. Even non-smoker adults who are constantly exposed will also have an increased risk of lung cancer and other types of cancer. K-Medoids Clustering Algorithm is one algorithm used to group data.The data used are the data of 34 provinces implementing non-smoking areas obtained from the Indonesian Health Office. The data will be grouped into two clusters namely high and low clusters. The results obtained are expected to be input to the relevant agencies in implementing the non-smoking areaKeywords : Data Mining, K-Medoids, Clustering, non smoking area.
ANALISIS METODE K-MEANS PADA PENGELOMPOKAN PERGURUAN TINGGI MENURUT PROVINSI BERDASARKAN FASILITAS YANG DIMILIKI DESA
Authors: Amri Muhammad Aliyul , Windarto Agus Perdana , Wanto Anjar , Damanik Irfan Sudahri
Published: January 2020

Higher education is an education level that includes diplomat, undergraduate and doctoral programs. The purpose of higher education is to improve the quality of the workforce, to help improve the quality of the workforce each university must have the facilities needed in teaching and learning activities. This study discusses the Analysis of the K-Means Method in the Grouping of Universities by Province Based on the Facilities of the Village. Sources of data obtained from data collected based on documents from 2003 to 2018 through the website of the Indonesian Statistics Agency. Data is processed into 2 clusters, namely the highest facility level cluster (C1) and the lowest facility level cluster (C2). So that obtained from 34 provinces 3 provinces are grouped in high facility level clusters (C1) and 31 provinces are grouped in low facility level clusters (C2). This can be input to the government for provinces that have higher education institutions that still have inadequate facilities in each village and are of more concern to the government based on the cluster that is being conducted.Keywords: K-Means, Higher education, Grouping, Facilities
PENGELOMPOKAN KASUS PENYAKIT AIDS BERDASARKAN PROVINSI DENGAN DATA MINING K-MEDOIDS CLUSTERING
Authors: Purba Leonardo , Saifullah Saifullah , Dewi Rafiqa
Published: January 2020

Acquired Immunodeficiency Syndrome or Acquired Immune Deficiency Syndrome (AIDS abbreviated) is a set of symptoms and infections that arise due to the destruction of the human immune system due to HIV viral infection. This study discusses about Rapidminer Application in Grouping Cases of AIDS Disease by Province with K-medoid Clustering Data Mining. The rise of AIDS cases in Indonesia has become a case that never escapes government attention. Attention to the ever increasing rate of death makes people worry about the spread of the AIDS virus. Sources of data and research are collected from the information document Number of Villages Who Have Health Facilities produced by the Social Security Administering Board. The data used in this study is data from 2008-2011 which consists of 34 provinces. Assessment criteria used are 2 ie 1). the average number of AIDS cases and 2). the average number of AIDS cases deaths were managed using 3 clusters ie high cluster level (C1), medium cluster level (C2) and low cluster level (C3). So that the cluster C1 obtained for Cases of AIDS Disease by Province as many as 4 provinces of Papua, DKI Jakarta, West Java and East Java, 9 provinces for cluster C2 and for cluster C3 as much as 20. This can be input to the government, the province of concern in the number of cases of AIDS.Keywords: Maining Data, AIDS Disease, Clustering, K-medoid
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PREWEDDING MENGGUNAKAN METODE WEIGHT PRODUCT
Authors: Syahputra Muhammad Riza , Winanjaya Riki , Okprana Harly
Published: January 2020

Marriage is the most awaited moment for everyone. Prawdding is an important thing to do before a wedding. Because prewedding photos become the latest trend for photos that will be displayed during the wedding. But in a lot of prewedding photos brides who are not satisfied with the results of these prewedding photos. This system can facilitate the bride and groom in choosing the location of prawedding photos without the need to meet in person to consult. This decision making system is made using the Weight Product method and is made with the php programming language and MySQL database. The WP method is used to find optimal alternatives from a number of alternatives. The selection of the location of the prewedding photo uses weighting for each criterion. The bride and groom can choose the desired location based on criteria such as the number of spots, themes, location distance, number of shoots with weights determined by the user based on the level of importance. The results of this system are displaying praweding locations based on the location of prawedding photos that can be ordered by the bride and groom. The selection of prewedding photo locations can be done optimally so that the results of the decision are as expected.Keywords: Decision Support System, Prewedding Location, Product Weight
PERANCANGAN REPOSITORY DIGITAL STIKOM TUNAS BANGSA MENGGUNAKAN CODEIGNITER
Authors: Silaen Willy Hairis Resmantama , Saifullah Saifullah , Irawan Eka
Published: January 2020

This study aims to design a Codeigniter-Based New Repository. This software serves to simplify the process of designing the repository. This research also aims to facilitate students and the general public to access examples of student thesis at Stikom Tunas Bangsa Pematangsiantar. This research method is Research and Development. The development model used is Waterfall which consists of analysis, design, implementation, and testing. Based on the results of this study, it can be concluded that the results of software development are in the form of Codeigniter-Based Digital Repository.Keywords: Repository, Code igniter.
IMPLEMENTASI DATAMINING PADA KASUS TENAGA LISTRIK YANG DIBANGKITKAN BERDASARKAN PROVINSI
Authors: Wati Afrina , Indriani Iin , Manihuruk Tira Sifrah Saragih , Sintya Sintya , Manurung Ivo Yohana , Windarto Agus Perdana
Published: January 2020

Indonesia is one of the most vital electric energy users. The development of the world of technology and information in its use does not escape from access to electricity. This study discusses the Implementation of Datamining in the Case of Electric Power Generated by Province. The increasing need for electricity usage from time to time has never escaped the attention and auspices of the government. The data source in this study was accessed from the official website of the Indonesian government, namely the Central Statistics Agency (http://www.bps.go.id). The data used in this study are data from 2011-2017 which consists of 33 provinces in Indonesia. In the analysis of this study using 3 (three) cluster levels, namely the first high level cluster (C1), the second moderate level cluster (C2) and the third low level cluster (C3). So that the final results of the analysis of the case study of Electric Power Generating by Province obtained new data and information, namely the high cluster province of 2 provinces namely East Java and Banten, the medium cluster province of 4 provinces namely North Sumatra, South Sumatra, West Java and Central Java while low cluster provinces as much as 27 in other provinces. The results of the analysis of this study can be used as input for the government and the State Electricity Company (PLN), in order to make the province of the highest cluster category a top priority in increasing the growth of power plants as well as being more interactive in the utilization of electricity effectively and efficiently.Keywords: Data Mining, K-Means, Clustering, Energy, Electric Power, Province
PENERAPAN ALGORITMA MAUT (MULTY_ATTRIBUTE UTILITY THEORY) DALAM PEMILIHAN PUPUK TERBAIK PADA TANAMAN KELAPA SAWIT
Authors: Khairani Annisa , Tambunan Heru Satria , Fauzan M.
Published: January 2020

Fertilizer is an ingredient that contains one or more nutrients or nutrients for plants to support the growth and development of plants. Oil palm plantations produce large profits so that many forests and old plantations are converted into oil palm plantations. To produce the best palm oil production, it is recommended that fertilizers have the quality and quantity precisely and quickly so that the target in the development of oil palm can be achieved maximally in its growth process. Many methods can be used to solve problems in the scientific field, one of the methods SPK. Researchers used the MAUT (Multy-Attribute Utility Theory) method in solving the problem of selecting the best fertilizer on oil palm plants based on several criteria that were set. Visual Basic 2010 application is the software used in this study. It is hoped that this research can recommend the best fertilizer used on plantations to maintain the quality of oil palm plants.Keywords : SPK, MAUT, Visual Basic 2010, MADM, Microsoft Access
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN GARDENER TERBAIK MENGGUNAKAN ALGORITMA PROFILE MATCHING
Authors: Latif Muhammad Abdul , Sembiring Rahmat W. , Suhada Drs.
Published: January 2020

PT.ISS Indonesia is the best and the largest Integrated Facility Service company in Indonesia with service coverage for Facility services, catering services, access control and parking.There are several fields in the company, one of which is the gardener. Gardener is one of the important parts in the company that is responsible for plant maintenance and gardening of a government agency or lodging company. A gardener has responsibility in terms of providing flowers for decoration in rooms such as rooms, lobbies, restaurants and rest rooms. The selection of the best gardener is done manually so that it requires a strong memory and accuracy for a leader.To overcome this, a system is needed to support the mindset of a leader in making objective decisions. There are several methods in decision support systems that can be used, one of which is the Profile Matching algorithm, which is a simple method in decision support systems by comparing GAP between alternative values and criteria.It is hoped that this research can provide a solution in recommending the best gardener in the company.So that it can facilitate the leadership in making decisions.Keywords : decision support systems, best gardener,  profile matching
PENERAPAN METODE ELECTRE II DALAM MENCARI FAKTOR HAMBATAN SISWA SULIT BERKONSENTRASI DALAM MATA PELAJARAN
Authors: Putri Nirwanda Desnila , Poningsih Poningsih , Irawan Irawan
Published: January 2020

Education is an effort specifically by  goverments  to provide the generation with appropriate academic potentials through which the successors attain the required capabilities to survive the natiions. .The process this transfer of information is carried out in school. But still, every thing does not run as smoothly as expected. The purpose of this research is to identify the problems serving as barrcades affecting the students to achieve the goals of learning.For a solution, the writer suggests the use of algorithm ELECTRE II as calculation to  discover  the best alternative. This method is implemented  into an application of  Vb Net 2010. The  result obtined is A03 having best alternative while the biggest average is friend.Keywords: Decision Support System, Electre ii, Vb Net, Concentration, Students.
PENGELOMPOKKAN PADA KENDARAAN BERMOTOR MENURUT KEGUNAANNYA MENGGUNAKAN METODE DATA MINING K-MEANS
Authors: Pulungan Windayani , Poningsih Poningsih , Satria Heru
Published: January 2020

This study aims to look for the grouping of data in motor vehicles according to their use. The types of motorized vehicles in this study are ranging from motorbikes, cars, public transportation, taxis, public transportation, buses, and pick ups. In this case we need a method that can classify vehicle data according to its use. This research was conducted in Pematangsiantar and used the K-Means Data Mining method. K-Means method tries to group existing data into several groups, where data in one group has the same characteristics with each other and has different characteristics from the data in other groups. The highest cluster with the number of motorized vehicle data according to its use is 7 vehicles, namely, 3 wheels, Taxi, public transportation, Bus (public transportation), Truck / Pick Up (public transportation), Car, Truck / Pick Up (private transportation).Keywords: Data Mining, K-Means Method, Grouping of Motorized Vehicles.
IMPLEMENTASI METODE ELECTRE UNTUK MENENTUKAN KELAYAKAN PEMBERIAN KREDIT SEPEDA MOTOR PADA PERUSAHAAN LEASING
Authors: Lativa Dinil , Poningsih Poningsih , Jalaluddin Jalaluddin
Published: January 2020

Leasing companies are financing equipment or capital goods that are used for the production process of a company, both directly and indirectly. Financing through leasing is a very simple financing in the procedures and implementation and therefore leasing that is used as an alternative payment seems more attractive. As an alternative source of capital financing for companies, especially in the credit analyst section. In credit-worthy consumer decision-making activities, a computer-based system model that can provide data analysis, calculation of criteria for credit applicants, and help processing data into information to make decisions from the semi-structured problem is needed. A decision system (DSS) is the right choice to help select credit applicants. The system is designed with the Elimination and Choice Translating Reality (ELECTRE) method which is one of the multi criteria calculation methods based on the outrangking concept map by using paired comparisons of other alternatives based on each criterion. The data used in this paper are in the form of alternative data samples, criteria data, criteria weight, and suitability rating for each alternative to the criteria.Keywords: ELECTRE, Credit Analyst ,Kredit, Leasing
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENERIMA RASTRA (BERAS SEJAHTERA) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS DESA KARANG BANGUN)
Authors: Sinaga Dicky Hartama , Tambunan Heru Satria , Jalaluddin Jalaluddin
Published: January 2020

Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor
MENDETEKSI ORISINALITAS CITRA DIGITAL DENGAN MENERAPKAN METODE ADLER-32
Authors: Lahagu Jelita
Published: January 2020

The development of digital images is now very rapid, where the processing of image data, documents on digital images make images easily created or manipulated easily, even without leaving a visual imprint for users to manipulate an image. The ease in making and changing an image can damage the credibility of the originality / authenticity of the image in various aspects.Image is a combination of points, lines, shapes and colors to create an imitation of an object. Based on this, the pixel changes the original image so that it does not indicate the original image or the image has been manipulated. Thus the detection of the image can be known the authenticity of an image using the Adler-32 Algorithm.  Small changes of pixels do not make the image content detected by the human eye. This is explained in pixels like the long width in the image. The basis of this research is to detect the originality or authenticity of a digital image. Keywords : Image, Originality, Manipulation, Adler-32
PENERAPAN METODE MODULUS FUNCTION (MF) UNTUK PENYISIPAN PESAN PADA CITRA DIGITAL
Authors: Harahap Raimah Handayani , Hasibuan Nelly Astuti , Saputra Imam
Published: January 2020

Steganography is the science and art of hiding (embedded) information by inserting secret messages in other messages. Steganography in the field of information technology is highly developed, namely for digital devices. Information or messages that can be hidden varies, as can messages that are embedded objects. Variations of messages that are normally subject to insertion objects are text messages, picture messages, audio messages, and video messages. The steganography method used is the Modulus Function (MF) method. This method can insert more messages into pixels that have high contrast values. The research conducted is applying the Modulus Function (MF) method for inserting messages into image files. Based on the test results, it can be concluded that by using the Modulus Function (MF) method, the capacity of the image to insert a message is smaller than the image size, the processing time in this method is quite fast, the image quality after inserting a message has good quality, but this method is also still good. has disadvantages, because it is not resistant to manipulation and in some images are still detected by the matlab application.Keywords: Steganography, Implementation, Modulus Function (MF), Image file.
ANALISA TESTIMONIAL DENGAN MENGGUNAKAN ALGORITMA TEXT MINING DAN TERM FREQUENCY- INVERSE DOCUMENT FREQUENCE (TF-IDF) PADA TOKO ALLMEEART
Authors: Simatupang Meylita Putri , Utomo Dito Putro
Published: January 2020

E-commerce or often referred to as an online shop is the latest trend of the community in carrying out shopping activities, first before the rise of e-commerce companies like today the community to meet their needs still rely on distros around the customer lives, or to a shopping place but now it has switch to shoop online. The advantages offered by online shoop are the relatively low prices, no need to shop locations, and guarantee goods, it has an impact on retail shops that are increasingly lonely. Testimonials are one of the techniques carried out to convince customers to shop at e-commerce they have, testimonials are the responses of buyers for their experience of shopping in an e-commerce application starting from the payment process until the goods are received, the more positive experiences conveyed in the testimonials, the customer who have not shopped on an e-commerce application will be more convinced to shop. Testimonials on an e-commerce application are not always positive, there are times when testimonials are delivered by negative buyers. The customer's problem is the unavailability of percentages or information on the number of buyers with positive and negative shopping experiences because in general testimonials are only delivered in the form of a list.Keywords:  Testimonial Analysis, Text Mining Algorithm, Term Frequency-Inverse Document Frequency (TF-IDF)
PENERAPAN DEMPSTER-SHAFER PADA SISTEM PAKAR DIAGNOSA PENYAKIT AKIBAT VIRUS VARICELLA-ZOSTER
Authors: Ritonga Rohima
Published: January 2020

Varicella-zoster is a virus that can cause varicella and shingles. This disease is referred to as chicken pox because bubbles or boils that form on the skin when it bursts out with water. This disease is very easy to spread to others, especially children who have never been exposed to varicella-zoster. The spread of this virus occurs through the air and direct contact with sufferers The expert system is one branch of AI that makes broad users specific to solving expert human-level problems. Varicella zoster is a virus that can cause varicella and shingles. The resulting software is able to diagnose certainty value calculations using the Dempster-Shafer method, using a visual basic programming language that can act like an expert. This system can be used as a consultation media.Keywords:  Expert System, Varicella Zoster, Dempster Shafer
Com imagens, contra as imagens
Authors: Ciquini Fabio Henrique
Published: January 2020

Rastreando a paradoxal pista de Dietmar Kamper de “levar uma vida com imagens, contra as imagens”, o objetivo central deste artigo é refletir sobre o pensamento por imagens como resistência ao imaginário mediático. Por meio de revisão bibliográfica, busca-se compreender o conceito de imagem e também a acepção da imagem como pensamento. Posteriormente, reflete-se sobre o conceito de imaginário em Kamper e o modo como este ambiente comunicacional provoca o esvaziamento simbólico das imagens e embotamento imaginativo. Como hipótese, sugere-se que o pensamento por imagens configura-se como ação corporal capaz de equalizar a dinâmica relação entre imaginário e imaginação. Em adição, afirmamos certo paralelismo deste conceito ao de imagem dialética em Walter Benjamin, e scanning e fotógrafo presentes em Vilém Flusser.
The resilience of Venezuelan inmigrants in Ecuador
Authors: Cruz Mera Laura , Tusev Aleksandar
Published: January 2020

El estudio actual tiene como objetivo general evaluar los niveles de resiliencia que poseen los inmigrantes venezolanos que residieron en Ecuador desde enero de 2018 hasta noviembre del mismo año. La resiliencia, en psicología, es el proceso de buena adaptación contra la adversidad, trauma, tragedia, amenaza o tensiones significativas t de alto estrés. Integra varios factores como la autoestima, la autonomía, la creatividad, el humor, la autoconfianza, el apoyo social y la empatía; Estos fueron analizados a través de una herramienta psicométrica denominada "Inventario de factores personales de resiliencia". Este estudio se realizó con una muestra de población de venezolanos que viven en el refugio provisto por la organización Hogar de Cristo en Guayaquil. Los resultados demostraron que existe un nivel medio de resiliencia general de acuerdo con los puntajes promedio. No obstante, al analizar los resultados de los factores individuales, se observó que los factores mejor calificados fueron la autoestima y la autonomía.
Palabras clave: Inmigrantes, resiliencia, adversidad, autonomía, autoestima.
URL: http://revistas.uta.edu.ec/erevista/index.php/bcoyu/article/view/845
Demo Art and Visual Music in perspective (in portuguese)
Authors: Costa Joenio
Published: January 2020

This paper shed light into demo art and visual music. Demo art are works of audiovisual rendered in real time, while visual music are works of audiovisual previously rendered in video format. The context and origins are diverse, visual music born among artists and technicians from cinema industry, while demos emerge among programmers related to computer games. The dissemination and exhibition among communities vary and are very distinct, there is a clear gap between practitioners of these two art forms, leading to the belief that a possible intertwining between artists from both contexts can lead to interesting results.
IMPLEMENTASI ALGORITMA MD5 DAN RC4 UNTUK KEAMANAN DATA FILE
Authors: Yuliandesi Ayu , Sitompul Dadang Rukmana , AJF Ade Putra , Mhd.Arief
Published: January 2020

Pada era saat ini keamanan dari informasi dan data telah terlalu banyak menarik perhatian orang-orang sekitar, untuk memastikan keaslian dari data dan dokumen yang ada, masalah yang ada tentunya sangat penting adanya sebuah komunikasi yang aman. Pada penelitian kami ini kami menggunakan algoritma Message Digest 5 (MD5). MD5 adalah bagian dari metode kriptografi yang menggunakan key untuk melakukan proses enkripsi dan juga menggunakan key yang telah dihasilkan tadi menjadi chipertext,. Plaintext yang telah kita enkripsi sebelumnya dapat menjadi sebuah chipertext dan tidak dapat dibaca oleh orang selain pengenkripsi. Chipertext yang sudah dihasilkan tadi akan dikirim kepihak kedua maka menghasilkan kerahasiaan yang dapat diandalkan. Data dari chipertext yang sudah dihasilkan akan berubah sesuai dengan key yang kita berikan. Rivet Cipher (RC4) dibuat di Laboratorium RSA oleh Ron Rivest pada tahun 1987. Salah satunya dari jenis stream chipper yang sinkron adalah RC4 ini, RC4 mempunyai kunci simetris.Sistem ini dibuat dengan bahasa pemograman Java Netbeans.
灌溉区域的数据统计方法及其局限性综述
Authors: Ajaz Ali , Karimi Poolad , Cai Xueliang , DE FRAITURE CHARLOTTE , Akhter Muhammad Saleem
Published: January 2020

国家层面的灌溉区域统计数据集的不一致可能对制定粮食和水安全政策产生重大影响。遥感可以解决这个问题；然而，对其可靠性的怀疑限制了其主导作用。基于遥感和统计数据集集成的方法似乎是权宜之计，但它们更可能被决策者认可。因此， 了解源于国家层面的统计数据集的基础及其局限性于科学家而言极其重要。。通过综述七个亚洲国家（中国，印度，巴基斯坦，孟加拉国，尼泊尔，印度尼西亚和泰国）的灌溉区域数据收集方法，本文指出了造成数据不确定性的因素以及数据收集方法的局限性。为了了解灌溉区域的空间分布格局与统计记录中不确定性之间的关系，本文还进行了灌溉密度分布分析。结果发现，灌溉面积统计数据主要基于水用户协会和农民的信息，而这些信息是自主报告，或是调查和普查时访谈收集到的。出现差异的主要原因有：缺乏经常列举灌溉土地的资源、数据收集方法不一致、次要作物未加说明、非法和无节制的利用水以及官僚主义和政治限制等。灌溉密度分布分析表明，分散的灌溉区域可能容易缺乏全面性而频繁的枚举。此外，密集灌溉地区可能存在潜在的未记录灌溉区域，且该区域少数农民进行了临时或补充灌溉安排。
Morphological priming of inflectional suffixes
Authors: Marjanovic Katarina , Crepaldi Davide
Published: January 2020

Morphologically complex words are processed through their constituent morphemes during visual word recognition. While this has been primarily established through the stem priming paradigm, the role of shared affixes is more controversial. Also, most evidence on affix priming comes from derivation, while inflectional priming remains largely unaddressed. Here we present two lexical decision, masked priming experiments filling this gap. Taking advantage of the rich inflectional pattern of Slovene, we assessed inflectional suffix priming (mestam–HALJAM), and compared it to the well-established stem priming effect (haljov–HALJAM): while the latter is solid as expected, the former seems to be weak to non–existing. Results further indicate that there is no interaction between sharing a stem and sharing an inflectional suffix—neither stem nor suffix priming is boosted when primes and targets also share the other morpheme. These data indicate an important difference between stems, derivational affixes and inflectional affixes, which we consider in the context of models of visual word identification and information theory.
MERLION PARK SEBAGAI DESTINASI WISATA DI SINGAPURA
Authors: Lestari Pipit Dwi
Published: January 2020

Makalah ini merupakan hasil laporan Foreign Case Study untuk syarat publikasi ilmiah di Sekolah Tinggi Pariwasata Ambarrukmo Yogyakarta dengan Judul Keunikan Bangunan Sultan Abdul Samad Sebagai Daya Tarik Wisata di Malaysia.
CHANGI BEACH PARK SEBAGAI SALAH SATU TUJUAN WISATA DI SINGAPURA
Authors: Natania Olivia
Published: January 2020

Makalah ini merupakan hasil laporan Foreign Case Study untuk syarat publikasi ilmiah di Sekolah Tinggi Pariwasata Ambarrukmo Yogyakarta dengan Judul Changi Beach Park Sebagai Salah Satu Tujuan Wisata di Singapura.
Cheat Sheets for Data Visualization Techniques
Authors: Wang Zezhong , Sundin Lovisa , Murray-Rust Dave , Bach Benjamin
Published: January 2020

This paper introduces the concept of ‘cheat sheets’ for data visualization techniques, a set of concise graphical explanations and textual annotations inspired by infographics, data comics, and cheat sheets in other domains. Cheat sheets aim to address the increasing need for accessible material that supports a wide audience in understanding data visualization techniques, their use, their fallacies and so forth. We have carried out an iterative design process with practitioners, teachers and students of data science and visualization, resulting six types of cheat sheet (anatomy, construction, visual patterns, pitfalls, false-friends and well-known relatives) for six types of visualization, and formats for presentation. We assess these with a qualitative user study using 11 participants that demonstrates the readability and usefulness of our cheat sheets.
PENGEMBANGAN PROTOTYPE SISTEM KRIPTOGRAFI UNTUK ENSKRIPSI DAN DESKRIPSI DATA PDF MENGGUNAKAN METODE RSA DAN METODE BLOWFISH
Authors: fajri Said
Published: January 2020

ABSTRAKPerkembangan teknologi terutama pada sistem pengamanan data dalam menjaga keamanan data informasi telah berkembang pesat. Dalam menjaga keamanan data informasi terdapat cabang ilmu dalam pengembangannya seperti kriptografi dan steganografi. Pada penerapannya dilakukan tidak hanya pada satu teknik keamanan saja, melainkan bisa dilakukan dengan kombinasi dalam keamanan data informasi. Penelitian ini bertujuan untuk membuat sebuah sistem keamanan data dengan mengimplementasikan kriptografi pada pesan teks, isi file dokumen, dan file dokumen dengan melakukan perhitungan algoritma Blowfish dan RSA. Blowfish atau OpenPGP.Chiper.4 termasuk dalam kelas enkripsi SymmetricCryptosystem di mana metode enkripsinya sama dengan Data Encryption Standard (DES - like - Cipher) dan dibuat untuk digunakan pada komputer yang memiliki microprossesor besar (32 - bit atau lebih dengan cache data yang besar). Blowfish dikembangkan untuk memenuhi kriteria desain, memungkinkan implementasi di mana keadaan optimal dapat mencapai 26 jam siklus perbyte kompak, yang dapat berjalan pada memori kurang dari 5 KB. Algoritma ini sederhana sehingga mudah untuk menentukan kesalahan dan keamanan dengan panjang variabel kunci bervariasi (minimum 32 bit, 448 bit maksimum, Multiple 8 bit, 128bit default). Algoritma RSA (Rivest Shamir Adleman) merupakan salah satu metode dalam cabang ilmu kriptografi, dimana RSA adalah jenis kriptografi asimetris yang menggunakan 2 kunci, yaitu kunci publik dan private. Algoritma kriptografi RSA didesain sesuai fungsinya sehingga kunci yang digunakan untuk enkripsi berbeda dari kunci yang digunakan untuk dekripsi. Kunci untuk enkripsi pesan disebut publik, sedangkan kunci untuk mendekripsi pesan yang diterima disebut private.
Proses Pembelajaran Di kelas pada sekolah smk cahaya
Authors: Dinata Maya Marta
Published: January 2020

Penelitian bertujuan untuk mengetahui bagaimana proses kegiatan belejar mengajar di sekolah dengan cara turun langsung ke lapangan atau di sebut juga dengan observasi. Dengan cara seperti iniah kita dapat melihat langsung bagaimana kegiatan belajar mengajar di sekolah dengan proses belajar yang baik, dan peran guru dalam proses pendidikan pun penting Peranan guru sangat menentukan dalam usaha peningkatan mutu pendidikan formal. Untuk itu guru sebagai agen pembelajaran dituntut untuk mampu menyelenggarakan proses pembelajaran dengan sebaik-baiknya, dalam kerangka pembangunan pendidikan. Guru mempunyai fungsi dan peran yang sangat strategis dalam pembangunan bidang pendidikan, dan oleh karena itu perlu dikembangkan sebagai profesi yang bermartabat.
PENERTIBAN SINDÉN PADA PERTUNJUKAN WAYANG GOLÉK: KERESAHAN BAGI DALANG DI JAWA BARAT
Authors: Masyuning
Published: January 2020

This paper presented sindén as part of the wayang golék show in West Java. Before the G30S/PKI incident sindén was so popular, it even beat the popularity of the dalang. This phenomenon caused unrest for the dalang in West Java. The government intervened to curb the sindén which was seen as too wild. The incident of sindén which caused unrest stopped after a seminar padalangan was held in 1964. This event proved that the comunity of Padalangan were able to unite to solve that problem.
Universitas Islam sebagai Refleksi Insan Kamil
Authors: Mahmudi Ihwan
Published: January 2020

Universitas merupakan institusi pendidikan yang menggambarkan corak sebuah bangsa, bahkan corak dan budaya suatu bangsa bersumber dari dan tercermin dalam institusi-institusi pendidikan tingginya. Universitas dianggap ideal adalah universitas yang menggabungkan tiga tradisi, yaitu tradisi undergraduate Britania dengan college model Oxford dan Cambridge, program pascasarjana yang berorientasi riset model jerman, dan model pengabdian kepada masyarakat ala Amerika Serikat. Di Indonesia dikenal istilah Tri Dharma Perguruan Tinggi. Universitas sebagai institusi paling kritis yang bermula darinya revivalisme (kebangkitan) reformulasi pendidikan dan epistemologi. Pendidikan tinggi merupakan interpretasi yang benar terhadap hikmah ilahiah (divine wisdom) yang menjadikan pendidikan orang dewasa sebagai target utama misi semua nabi. Universitas Islam tidak hanya berperan melaksanakan Tri Dharma Perguruan Tinggi, tetapi lebih dari itu, harus menjadi lembanga pendidikan yang benar-benar islami sebagai sebuah reflkesi dari insan kamil sehingga akan terwujud keberkahan bagi universitas khususnya dan masyakarat secara luas pada umumnya. Konsepsi mengenai universitas yang benar-benar Islami sebagai sebuah refleksi dari insan kamil adalah seperti yang dicontohkan nabi Muhammad SAW dengan cara merefleksikannya dalam ilmu pengetahuan dan amal shaleh dan fungsinya dengan jalan membentuk laki-laki dan wanita yang beradab agar memiliki kualitas seperti nabi Muhammad saw, sesuai dengan kemampuan dan potensinya masing-masing. Tujuan pendidikan di Universitas Islam hendaknya tidak didasarkan pada pertimbangan-pertimbangan sosial-ekonomi, politis, dan birokratis, tetapi lebih berpijak kepada nilai-nilai religius yang murni dan mendalam.Tujuan pendidikan dalam Islam adalah bersifat religius, yaitu penanaman adab dalam diri seserorang. Kurikulum terdiri dari kurikulum fardu ain (ilmu-ilmu agama) terdiri dari kitab suci al-Qurán, sunnah, syariáh, teologi, metafisika Islam, dan bahasa arab. Kurikulum fardu kifayah adalah pengetahuan yang tidak diwajibkan kepada setiap muslim untuk mempelajarinya, tetapi masyarakat mukmin akan bertanggungjawab jika tidak ada seorang pun yang mempelajarinya yang terbagi dalam delapan disiplin ilmu, yaitu: ilmu kemanusiaan, ilmu alam, ilmu terapan, ilmu teknologi, perbandingan agama, kebudayaan barat, ilmu linguistik, dan sejarah Islam. Kurikulum Universitas Islam diarahkan kepada konsep integrasi ilmu yaitu memadukan sains dengan Islam dalam rangka mengembalikan Islam sebagai agama universal.
Amyotrophic Lateral Sclerosis
Authors: Bambini Valentina , Ceroni Mauro
Published: January 2020

Chapter to be included in the volume Pragmatic Language Disorders: Complex and Underserved Populations, Ed. Louise Cummings, Springer, 2020. It reviews findings that have contributed to our understanding of pragmatic impairment in ALS.
Supporting Reflection In Design Process Using Color Psychology
Authors: Mughal Ali Hassaan
Published: January 2020

Color psychology and Color theory give us insight about the sensation colors induce i.e. the stimulus. These sensations induce feelings and lead them to behavior in humans. In design process a designer needs to understand what feelings the color palette would induce for the audience. If we can work on helping the designers reflect upon the feelings conveyed by the color palette used in the design to the audience. It can help the designer make audience specific designs and would enhance the impact of design.
Infants relax in response to unfamiliar foreign lullabies
Authors: Bainbridge Constance , Bertolo Mila , Youngers Julie , Atwood S. , Yurdum Lidya , Simson Jan , Lopez Kelsie Lynn , Xing Feng , Martin Alia , Mehr Samuel A
Published: January 2020

Music is characterized by acoustical forms that are predictive of its behavioral functions. For example, adult listeners accurately identify unfamiliar lullabies as infant-directed on the basis of their musical features alone. This property could reflect a function of listeners’ experiences, the basic design of the human mind, or both. Here, we show that American infants (N = 144) relax in response to 8 unfamiliar foreign lullabies, relative to matched non-lullaby songs from other foreign societies, as indexed by heart rate, pupillometry, and electrodermal activity. They do so consistently throughout the first year of life, suggesting the response is not a function of their musical experiences, which are limited relative to those of adults. The infants’ parents overwhelmingly chose lullabies as the songs that they themselves would use to calm their fussy infant, despite their unfamiliarity. Together, these findings suggest that infants are predisposed to respond to universal features of lullabies.
The Antecedent of Customer Satisfaction and Its Impact on Customer Retention in Tourism as Hospitality Industry
Authors: Barusman Andala Rama Putra , Rulian Evelin Putri , Susanto Susanto
Published: January 2020

Taking a case study of tourism as hospitality industry in Lampung Province in Indonesia, we analyze the antecedent of customer satisfaction and its impact on customer retention. Using Structural Equation Model (SEM), we find that customer relationship management has a significant impact on service quality, customer satisfaction and customer retention. Moreover, the impact of service quality on customer satisfaction and the one of customer satisfaction on customer retention are also significant. Relying on the findings, we recommend some strategies for the government of Lampung Province, e.g. training local people to behave more friendly in welcoming domestic or international tourists, fixing all lodging facilities, creating more souvenirs with Lampung’s ornaments and developing management system adopting global changes in technology, communication and trend.
Statistics for Multimodality: why, when, how – an invitation
Authors: Bateman John A. , Hiippala Tuomo
Published: January 2020

Although the number of articles in visual and multimodal communication that include statistical validation of claimed results is increasing, we suggest in this article that this is by no means enough. Statistical methods should belong to every multimodality researcher's toolset precisely because the phenomena under study are subtle and complex. Without applying basic statistical techniques, it is difficult to know whether one 'has' a result or not. Moreover, even if statistical tests are not undertaken, bearing in mind that they should – in principle – be possible at some stage of research adds clarity to methodology and design. Improving awareness of this issue is particularly important at this time because multimodality now faces the challenge of moving on from a period of broad theory construction to studies that build on those foundations. Reliably locating significant patterns in data is a crucial precondition for such work and statistical methods provide established and well-understood techniques for just this task. The primary intended audience of this article are researchers, and particularly junior researchers, who have not so far embraced such methods. We seek to show that the application of statistical methods is nowadays relatively straightforward and that adding these techniques is of considerable value both for conducting effective research and for convincing others of that effectiveness. Conversely, within many contemporary research contexts, not applying such methods is simply unnecessarily disempowering.