bluuebunny/crossref_metadata_2025 huggingface dataset:
الضمانات الدولية لحقوق الانسان
Authors: Khamo Mohammed H. , Omar Garnas S.
Published: November 2019

ان الاقرار للأفراد بالحقوق والحريات في الاتفاقيات والاعلانات الدولية المعنية بحقوق الانسان لا يعد كافياً لضمان تمتعهم بتلك الحقوق ، انما يتطلب الامر توفير الوسائل التي تضمن لهم الانتفاع من تلك الحقوق وتحول دون التجاوز عليها او انتهاكها ، ازاء ذلك وعلى الصعيد العالمي عملت منظمة الامم المتحدة ومن خلال الاجهزة التابعة لها على توفير الحماية اللازمة لهذه الحقوق والحريات ، وقد بذلت المنظمات الاقليمية هي الاخرى جهوداً حثيثة في ذات السياق ، لذلك وبقصد ابراز اهم الضمانات الدولية لحقوق الانسان ، قسمنا هذا البحث الى مبحثين الاول تناولنا فيه مفهوم حقوق الانسان من خلال التطرق الى التعريف والتطور التاريخي لحقوق الانسان ، اما المبحث الثاني فقد خصصناه للبحث في الضمانات الدولية ( العالمية والاقليمية لحقوق الانسان ).
ECONOMIA SOLIDÁRIA E EDUCAÇÃO
Authors: Borges Juliano Luis , Sguarezi Sandro Benedito
Published: November 2019

A economia solidária tem como finalidade o desenvolvimento de alternativas ao modelo econômico dominante, o qual vem gerando a impossibilidade de acesso de trabalhadores à subsistência material e a melhores condições de vida. A economia solidária, como base dos empreendimentos econômicos solidários, exige dinâmicas grupais participativas, dialógicas e uma educação que desenvolva saberes emancipatórios. O presente texto visa demonstrar a proposta pedagógica da economia solidária para o desenvolvimento de práticas baseadas na troca e construção de conhecimentos. Para isso, é apresentada uma reflexão com o objetivo de explorar conexões e alguns contornos da relação entre educação e economia solidária. O processo educativo decorre do múltiplo entrelaçamento dos sujeitos que proporcionam saberes construídos no interior dos grupos sociais – geradores de uma conscientização espontânea – e outros aprendizados construídos com agentes externos que apoiam as iniciativas de geração de trabalho e renda – constitutivos de uma conscientização induzida. A economia solidária proporciona mais que a viabilidade econômica de empreendimentos solidários, sua abrangência compreende diferentes formas de desenvolvimento que transcendem a satisfação material. Seu projeto está alicerçado na transformação da realidade de trabalhadores excluídos, que se mobilizam e se organizam na busca de alternativas para geração de trabalho e renda.
YENİ BİR İNSAN KAYNAKLARI İŞLEVİ: İŞTEN AYRILMALARDA DESTEK HİZMETİ (OUTPLACEMENT)
Authors: GÖKÇE ARPA Rabiya , TAN Fatma Zehra
Published: November 2019

Bu
çalışmada amaç, sektör çalışanlarına ve işten ayrılmalarda destek hizmeti (outplacement)
ile ilgilenen araştırmacılara derinlemesine bilgi sağlamaktır. Makale, kuramsal
bir değerlendirme niteliğindedir. Söz konusu amaç için, derinlemesine literatür
taraması yapılmış, ardından konuyla ilgili Türkiye’de yapılan çalışmalar belirlenmiştir.
Araştırma sonucunda, konuyla ilgili Türkiye’de yapılan on adet çalışmaya ulaşılmıştır.
Bu çalışmaların yazarı, yayınlandığı tarih, yayınlandığı yer ve araştırmanın
konusu bilgisi aktarılmıştır. Bunlara ek olarak yapılan araştırmaların
sonucunda elde edilen bulgular incelenmiştir. Literatür taramasının Türkiye ile
sınırlandırılmasının sebebi, söz konusu hizmetin Türkçe yazınında nerede
olduğunun aktarılmak istenmesidir.
MEKANISME PENAGIHAN DAN PEMBAYARAN PAJAK BUMI DAN BANGUNAN (PBB) PADA BADAN PENDAPATAN DAERAH KOTA MAKASSAR
Authors: Mariana Lina
Published: November 2019

This research paper aims to determine the mechanism of billing and payment of land and building taxes at Badan Pendapatan Daerah, considering that the earth tax and buildings have been transferred to local taxes and newly operated in early 2015. This research used the qualitative descriptive method  that is the type of research used by the research to describe the results of observation data obtained. The results showed that the mechanism of billing and payment of land and building tax begins with the issuance of Tax Return Notification (SPPT). The taxpayer may obtain the Notice of Withholding Tax to the service of the integrated unit or tax collector of the land and building and then pay the tax payable. Payment can be made through POS office, or via online through Automated Teller Machine (ATM) or Bank which has been appointed by City Revenue Board of Makassar.
PENGARUH KINERJA KEUANGAN TERHADAP PERTUMBUHAN LABA PADA PT. SEMEN TONASA (Persero) DI KABUPATEN PANGKEP
Authors: Wairooy Muhamad Ali
Published: November 2019

This study aims to test and analyze the effect of financial performance on profit growth at PT. Semen Tonasa (Persero) in Pangkep Regency. Data collection using secondary data using samples in this study is a saturated sample (census). The population in this study is the number of years of financial performance (ROA) and the number of years of profit growth at PT. Semen Tonasa (Persero) in Pangkep Regency, which is 36 months from 2015 - 2017, while the sample taken is the number of observations for 36 months (January 2015-December 2017). The data obtained were analyzed using simple linear regression analysis, t test and test coefficient of determination (R²) which processing was carried out with SPSS version 23. The results showed that the proposed hypothesis was accepted because it showed positive and significant hypothesis test results. This means that financial performance has a positive and significant effect on earnings growth.
PENGARUH PENGUMUMAN MERGER TERHADAP ABNORMAL RETURN DAN AKTIVITAS VOLUME PERDAGANGAN SAHAM (STUDI PADA PERUSAHAAN PERBANKAN DI BANK INDONESIA)
Authors: Wairooy Mohamad Ali
Published: November 2019

Tujuanpenelitianiniselainuntukmengetahui reaksi harga dan aktivitas volume perdagangan(tradingvolumeactivity)saham diBursaEfekJakartaterhadapperistiwa pengumuman merger, jugauntuk mengetahuiapakahterdapatperbedaanrata-rata abnormalreturn (averageabnormalreturn) dan aktivitas volume perdagangan saham antarasebelumdansetelahperistiwapengumumanmerger.Sampelsaham yangdipilih dalampenelitianiniadalahsaham-sahamyangtermasukdalam sektorperbankandan IndeksLQ-45denganpertimbanganbahwasaham-saham tersebutmerupakansaham- saham yangdapatmewakilipopulasisektorperbankan dilihat dari sudut pandang jumlah sahamyang diperdagangkan dan nilai kapitalisasi pasarnya. Untukmengujikandunganinformasi(informationcontent) dari peristiwa tersebut, digunakan metode eventstudy. Hasil pengujian tersebut menunjukkan bahwa Bursa Efek Jakartatidakbereaksiterhadapperistiwapengumumanmerger.Haliniterlihatdari tidakadanyahasilpengujianyangmemberikantingkatsignifikansiminimalsebesar yang ditetapkan yaitu 95%. Perbedaanrata-rataabnormalreturn padasaatterjadinyapengumumandansekitar pengumumanternyatajugatidakterbukti secara signifikan. Sementara itu, perbedaan rata-rata aktivitas volume perdagangan pada saat terjadinya pengumuman dan sekitar pengumuman justru menunjukkan hal yang sebaliknya, yakni terbukti secara signifikan pada tingkat keyakinan 99%.
SISTEM PENGELOLAAN ALOKASI DANA DESA PADA DESA TINGGIMAE KECAMATAN BAROMBONG KABUPATEN GOWA SULAWESI SELATAN
Authors: Noor Muh Yasin
Published: November 2019

Village Fund Allocation Management System in Tinggimae Village, Baromobong District, Gowa Regency, South Sulawesi. This study aims to determine how the village fund allocation management system is in Tinggimae village, Barombong Subdistrict, Gowa Regency, South Sulawesi. The type of research data used is qualitative data using a qualitative descriptive research design. Data collection methods are used with questionnaire, interview and documentation techniques. This study was conducted for three months from December 2017 to February 2018. The results of the study showed no significant effect of education on the performance of teachers at Majene 2 High School and there was a significant influence on work discipline on the performance of Majene 2 High School teachers.
PENGARUH LEVERAGE FINANCIAL DAN KEBIJAKAN DIVIDEN TERHADAP NILAI PERUSAHAAN (STUDI PADA PERUSAHAAN MANUFAKTUR DI BURSA EFEK INDONESIA)
Authors: Wahab Abdul
Published: November 2019

This study aims to examine and analyze the effect of partially or simultaneously financial leverage and dividend policy on firm value in manufacturing companies on the Indonesian stock exchange. Data collection uses secondary data using purposive sampling technique. The population in this study is the automotive sub-sector manufacturing companies and components listed on the Indonesia stock exchange during the 2014-2016 period of 15 companies, while the samples taken were the number of observations for 3 years (2014-2016) with the number of companies observing 12 obtained were analyzed using multiple linear regression analysis. The results show that all hypotheses have a significant effect based on the t test and F test. This means that both partially and simultaneously financial leverage and dividend policy have a significant effect on firm value in manufacturing companies on the Indonesian stock exchange.
Pulmonary hypertension in a patient with kyphoscoliotic heart disease
Authors: Karabasheva M. B. , Danilov N. M. , Sagaydak O. V. , Darensky D. I. , Lazutkina V. K. , Chazova I. E.
Published: November 2019

Kyphoscoliosis is a combined spinal deformation, which leads to a decrease in the volume of ‘working’ lung tissue with the development of alveolar hypoventilation and hypoxic vasoconstriction of the pulmonary arteries. These changes in a small percentage of cases lead to increases in pulmonary artery pressure and pulmonary vascular resistance. The pathogenesis of pulmonary hypertension in kyphoscoliosis shows resemblance to pulmonary hypertension in the setting of obstructive sleep apnea or hypoventilation in the presence of obesity. Patients with already present pulmonary hypertension may theoretically be candidates for standard pathogenetic therapy, but there is currently no evidence of the effectiveness of this treatment.
The role of the renin-angiotensin system gene polymorphisms in the development of carbohydrate disorders in patients with arterial hypertension
Authors: Zhuravlyova L. V. , Kulikova M. V.
Published: November 2019

Arterial hypertension and type 2 diabetes mellitus are the most widespread comorbid pathologies. The coexistence of these disorders accelerates the development of micro- and macrovascular complications, considerably increases the cardiovascular risk, as well as the risk of stroke and end stage renal disease. The synergism of these two pathologies is caused by the unity of pathogenetic mechanisms. Genetic predisposition also contributes to the development of both pathologies. It is well known that blockade of the renin-angiotensin system slows down the development of type 2 diabetes mellitus and also reduces the frequency of cardiovascular or kidney events in patients with these disorders. Gene polymorphisms of the reninangiotensin system are thoughtfully studied in the context of cardiovascular disease development. Currently, the role of gene polymorphisms in the development of carbohydrate disorders is not established, however, there is a high probability of their influence and importance. The purpose of review is to analyze the accumulated data on the effects of the renin-angiotensin system gene polymorphisms on the development of arterial hypertension and type 2 diabetes mellitus.
Prevalence of arterial hypertension and other risk factors for cardiovascular diseases in Siberia
Authors: Barbarash O. L. , Tsygankova D. P. , Artamonova G. V.
Published: November 2019

Hypertension is of interest for many Siberian researchers. Given the climatic, geographical, socio-economic, and ethnic characteristics of the population living in Siberia, addressing this problem has been one of the main goals of large epidemiological studies for several decades. This article discusses the main results of the epidemiological studies conducted in the Siberian Federal District on the prevalence of hypertension and its risk factors.
Molecular aspects of the pathological activation and differentiation of valvular interstitial cells during the development of calcific aortic stenosis
Authors: Kostyunin A. E.
Published: November 2019

Calcific aortic stenosis is the most common valvular heart disease. The pathogenesis of this disease is complex and resembles the atherosclerotic process in the blood vessels. It is known that valvular interstitial cell activation and subsequent differentiation into osteoblast- and myofibroblast-like cells is the main driving force of fibrous and calcified aortic valve tissue. However, the molecular mechanisms behind these processes are still not fully understood. Current information on this issue is collected and analyzed in this article. The main molecular pathways mediating the pathological differentiation of the valvular interstitial cells and the reasons for their activation are considered.
Conceptual low-cost on-board high performance computing in CubeSat nanosatellites for pattern recognition in Earth's remote sensing
Authors: Hernández-Gómez J J , Yañez-Casas G A , Torres-Lara Alejandro M , Couder-Castañeda C , Orozco-del-Castillo M G , Valdiviezo-Navarro J C , Medina I , Solís-Santomé A , Vázquez-Álvarez D , Chávez-López P I
Published: November 2019

Nowadays, remote sensing data taken from artificial satellites require high space com- munications bandwidths as well as high computational processing burdens due to the vertiginous development and specialisation of on-board payloads specifically designed for remote sensing purposes. Nevertheless, these factors become a severe problem when con- sidering nanosatellites, particularly those based in the CubeSat standard, due to the strong limitations that it imposes in volume, power and mass. Thus, the applications of remote sensing in this class of satellites, widely sought due to their affordable cost and easiness of construction and deployment, are very restricted due to their very limited on-board computer power, notwithstanding their Low Earth Orbits (LEO) which make them ideal for Earth’s remote sensing. In this work we present the feasibility of the integration of an NVIDIA GPU of low mass and power as the on-board computer for 1-3U CubeSats. From the remote sensing point of view, we present nine processing-intensive algorithms very commonly used for the processing of remote sensing data which can be executed on-board on this platform. In this sense, we present the performance of these algorithms on the proposed on-board computer with respect with a typical on-board computer for CubeSats (ARM Cortex-A57 MP Core Processor), showing that they have acceleration factors of average of 14.04× ∼14.72× in average. This study sets the precedent to perform satellite on-board high performance computing so to widen the remote sensing capabilities of CubeSats.
Space-Temporal Study in the Protected Natural Area of Xochimilco Lake with Remote Sensing in the Period 1987-2016
Authors: Zamora Rivas Damian
Published: November 2019

Conservation Area Ejidos de Xochimilco y San Gregorio Atlapulco, which is located in the south of the Mexico Basin, is considered as World Her- itage Site by UNESCO, and a Ramsar Site, that is, it is a Wetland of International Importance. In spite of these international designations, the conservation area has an environmental problem of many years. This article aims to deter- mine the change of vegetation cover and water in the lake area of Xochimilco over a period of 30 years. Remote Sensing facilitates the monitoring of water bodies and vegetation of conservation zones throughout months, even decades. For the period from the year 1987 to year 2016, normalized vegetation indexes NDVI=(NIR-red)/(NIR+Red) and NDWI=(NIR-SWIR)/(NIR+SWIR); and normalized water index MNDWI=(Green-SWIR)/(Green+SWIR), were used together to obtain the changes of areas in vegetation and water in annual images captured by the TM and ETM+ sensors of Landsat 5 and Landsat 7 satellites, respectively. Five classes were obtained (water, water with vegetation, dry vegetation, watered vegetation, and other materials, for instance soil and buildings) with a reliability of 89%.
Automatic Modelling of Land Use Suitability Using Deep Feedforward Networks in Leon - Silao, Guanajuato Region
Authors: Lopez-Farias Rodrigo , Pichardo-Corpus Juan Antonio , Aguilar-Vilchis Raúl A.
Published: November 2019

Land use change is a global phenomenon that impacts directly to the urban growth and it should be addressed from different disciplines to minimize the potential negative effects of urbanization predicting the spatial urban growth. The urban growth dynamics might be very complicated and difficult to model, nevertheless it is necessary to understand the causes of the dynamics and the dynamics itself to build precise computational models that help to detect problems generated by urban land use change. For that reason, we propose the study of the land use suitability sub-model used by several models to make land use spatial predictions. This sub-model is implemented as a logistic regression based on linear correlations. The problem is that this model is limited to capture a variety of nonlinear relations among variables for prediction and classification purposes. We propose to use an alternative based on Deep Feedforward Networks able to deal with this problem.

In Mexico, the urban growth will increase considerably the number of cities during the next decade where the Mexican population will be concentrated. That means that the generation and study of existing spatio-temporal computational frameworks for studying the Mexican urban growth is very relevant. Therefore we present an initial contribution comparing Deep Feedforward Networks with a Multi-Level Linear Logistic Regression as land suitability models applied to Mexican land use classification. We show that basic deep feedforward models outperform in allocation accuracy to linear logistic regression, and also minimizes the parameters tuned by trial and error.
Georeference Assignment of Locations based on Context
Authors: Reyes-Palacios Shanel , Aldana-Bobadilla Edwin , Lopez-Arevalo Ivan , Molina-Villegas Alejandro
Published: November 2019

Modern Text Mining techniques seek for extract information in useful formats such as georeferences in digital documents. Automatic recognition of location names in texts is usually solved through Named Entity Recognition (NER) systems. Most current NER are based on Machine Learning and have very high accuracy in detection of location entities in digital documents, especially if the texts are in English due to the lack of available an- notated corpora in other languages. However, recent studies are dealing with the challenge of taking the output labels of a NER system and then gather, from a gazetteer, their exact unambiguous geographical coordinates. This is challenging mainly because toponyms use to be very ambiguous, so research in disambiguation methods is relevant. In this paper we describe some of the main ideas towards a method to associate locations with geographical data removing possible confusion between entities with the same name. So far, we have already accomplished Geographic NER and coordinates retrieval but the main research is still in course. We largely discuss about the state of the art around Geoparsing; we explain how our Geographic Entity Recognition module works and finally we describe the research proposal focusing in ambiguity detection.
A review on the color segmentation with emphasis on the point clouds
Authors: Macías-Medrano Sergio
Published: November 2019

Currently, there are technologies such as Unmanned Aerial Vehicles (UAV) that allow more efficient field work in geology. With the capture of aerial photographs and their processing with algorithms based in Structure from Motion (SfM), it is possible to obtain a position XYZ with their RGB color. The resulting outputs, whether images or point clouds, can be used to recognize patterns of geological layer in stratified walls from color. This semi-automatic segmentation allows to identify subtle changes between lithologies through the transformation of RGB to other color spaces such as CIELab.

The review was done around the issues of color segmentation identified through a search level scheme. These were color information, type of spatial data, segmentation methods and color spaces.
HARGA DIRI DAN KESEDIAAN DIPOLIGAMI
Authors: Hayani Hayani
Published: November 2019

Penelitian ini bertujuan untuk mengetahui hubungan antara harga diri, dengan kesediaan di poligami. Populasi dalam penelitian ini adalah perempuan yang belum menikah dan telah menikah. Sampel penelitian adalah 109 perempuan, dengan menggunakan tehnik purposive random sampling. Hasil penelitian dengan analisis chi-square : 1) hubungan antara harga diri dengan kesediaan dipoligami diperoleh nilai X2hitung sebesar 29.329a dengan taraf signifikan p= 0,000 (p= 0,000 < 0,01). 2)Penelitian ini menunjukkan bahwa sebanyak 18,34% dari responden penelitian menyatakan bersedia dipoligami. Sedangkan 56,88% menyatakan tidak bersedia dipoligami, dan 24,77% menyatakan tidak dapat memutuskan. .3) Terdapat beberapa alasan yang melatarbelakangi perempuan bersedia dipoligami, tidak bersedia dipoligami dan tidak dapat memutuskan untuk dipoligami
EFEKTIVITAS PLAY THERAPY UNTUK MENURUNKAN GEJALA PTSD PADA ANAK-ANAK KORBAN PUTING BELIUNG DITINJAU DARI TIPE KEPRIBADIAN
Authors: Azizatul Avivah Eva Maynita , Noviekayati IGAA. , Meiyuntariningsih Tatik
Published: November 2019

Tujuan dari penelitian ini adalah untuk menguji efektivitas terapi bermain dalam menurunkan gejala PTSD pada anak-anak korban angin putting beliung ditinjau dari tipe kepribadian. Subjek yang digunakan dalam penelitian ini adalah 20 siswa kelas 3, 4, 5 dan 6 dari MI Nurul Ulum. Desain penelitian menggunakan eksperimen sesungguhnya dan dengan jenis pretest posttest control group design. Analisis data yang digunakan untuk menguji hipotesis pertama adalah dengan menggunkan uji peringkat bertanda Wilcoxon dan menguji hipotesis kedua dengan Mann Whitney. Berdasarkan hasil analisis statistik, hasilnya menunjukkan bahwa terapi bermain tidak efektif dalam menurunkan gejala PTSD pada anak-anak korban angin puting beliung dan tingkat PTSD pada anak-anak dengan kepribadian introvert lebih tinggi daripada anak ekstrovert. Dapat dikatakan bahwa anak-anak yang masih memiliki PTSD adalah mereka yang memiliki kepribadian introvert
Penerapan Algoritma K-Means Clustering untuk Pengelompokan Harga Eceran Beras di Pasar Tradisional Berdasarkan Wilayah Kota
Authors: Siburian Theresia , Safii M. , Parlina Iin
Published: November 2019

Rice is the main food commodity of the Indonesian people, almost all residents in this country consume rice every day. This causes rice commodities to have a very strategic value, apart from being in control of the lives of many people, it can also be used as a parameter of the country's economic and social stability. This study discusses the application of K-Means Clustering Algorithm for Grouping Retail Prices of Rice in Traditional Markets. The source of this research data is collected based on documents describing the retail price group of rice produced by the National Statistics Agency. The data used in this study are data from 2011-2016 consisting of 33 cities. Data is processed by clustering in 3 clusters, namely high population level clusters, medium and low population level clusters. Centroid data for high population level clusters 10,776, Centroid data for moderate population level clusters 9,436 and Centroid data for low population clusters 8,590. To obtain an assessment based on the grouping of the average retail price of rice in traditional markets in 33 cities with high clusters (C1) of 11 cities namely Padang, Pekanbaru, Tanjung Pinang, Bandar Lampung, Jakarta, Pontianak, Palangkaraya, Banjarmasin, Ternate, Jayapura and Manokwari for medium cluster (C2) as many as 11 cities and for low cluster (C3) as many as 11 cities. From the results of this study can be used as input for the government, especially in cities, so that cities that are included in the high cluster can normalize the retail price of rice in each city area.
Optimasi Beban Mengajar Dosen Pendidikan Informatika di STKIP Bumi Persada Menggunakan Algoritme Genetika
Authors: Afriliansyah Teuku
Published: November 2019

The cost of teaching lecturers is a routine activity conducted by all universities, especially the maintainers of departments in each faculty. This is done because the number of courses planned students are in every semester is always different and faced with a relatively fixed number of lecturers. Determining the teaching burden of lecturers must be done so that the teaching burden of lecturers does not exceed the maximum possible limit and the teaching process is done in accordance with the interest of lecturer study. Study Program of informatics Education High School and Educational Sciences Earth Persada Lhokseumawe still do the process of determining the teaching burden of the lecturer with the manual so that it takes a little time because it must adjust the infirmity Courses with a lecturer study interest. One of the methods of optimization that is able to solve the problem is genetic algorithm. The genetic algorithm process in this research includes representation with integer numbers, crossover methods with one cut point crossover, mutation methods with Reciprocalexchange mutation and random mutation, as well as selection methods with elitism Selection. Test results that have been tested show optimal parameters i.e. population size 60, combination of CR and Mr Value respectively 0.4, Sertta generation of 3576 with the largest fitness value produced is 0.082846.
Aplikasi Rekapitulasi Suara Yang Diperoleh Calon Legislatif Pada Pemilihan Umum
Authors: Indriani Ulfah , Syahputri Nita
Published: November 2019

General Election is a democratic party held every 5 (five) years. General elections are held to elect state officials from the President, Regional Head and Legislative Members. There are so many people who really want that position because of the huge income, luxurious facilities and high social level. Many people are willing to spend large amounts of money in order to be able to occupy these seats. This is because each candidate must get a large number of people's votes so that the candidates cannot work alone in order to gain votes. And if the election has arrived and the people have chosen, then the legislative candidates will try as soon as possible to find out whether they will be elected or not. The basis for the vote calculation is form C1 which is the result of manual recapitulation at the polling station (polling station). This form is very much even reaching thousands of files. The problem is that it is difficult and takes a long time if we have to count thousands of sheets and want to see the number of votes and voice mapping in the Electoral District (Electoral District) manually. Therefore, the researcher tried to make an application that could facilitate candidates for legislative candidates in carrying out vote counting. With this application it will be easy and fast in knowing the number of votes obtained. With this application, Legislative candidates will find out whether they can be elected or not. And the conclusion of this discussion is how a technology in the world of computers will greatly help candidates for the legislature to cut time and get detailed information about the votes obtained.
Sistem Kendali Robot Pemotong Rumput Diperintah Suara Berbasis Android
Authors: Hutagalung Jhonson Efendi , Dahriansah Dahriansah
Published: November 2019

To manage land for farming both agriculture and plantations will certainly be carried out. In the process of cutting grass, we can cut the grass on the laha so that it can be planted. The process of cutting grass can be done in various ways both manually and automatically. To open new land faster, we cut grass with engine power. But the details and limitations of cutting machines are there. So it needs to be made a robot that works in an automatic way without any human assistance to do the cutting so that the work is done quickly and the wider range of cutting results is greater. The system will work using remote technology from a distance using Bluetooth. This system aims to connect communication between wheeled robots and smartphones through bluetooth communication media. From the results of the testing, the author succeeded in applying Bluetooth technology to wheeled robots by giving instructions such as forward, backward, turn right, turn left, and stop. This robot is used to cut grass with a large area so that it does not need to be done by many enough with two or three people alternately working on cutting grass in terms of clearing new land. But the system here is in miniature form so that it needs to be implemented separately into the real form that will be faced in terms of cutting grass. The robot is controlled with Android, to move the dc dinamo, and use a dinamo driver so that the robot can move according to the commands stored in the program. This research has been successful and will be developed towards a better one with a real tool with large capacity.
Analisis Pemilihan Tempat Pembuangan Limbah Medis Menggunakan Metode Topsis
Authors: Sembiring Muhammad Ardiansyah , Nasution Donni , Sibuea Mustika Fitri larasati
Published: November 2019

Various types of medical waste produced from service activities in hospitals can endanger and cause health problems, especially during collection, sorting, shelter, storage, transportation and destruction and final disposal. In terms of disposal of medical waste, most existing hospitals work with other companies in the processing and disposal of their medical waste because there is no official medical waste disposal site available. With the above problems, the researchers are interested in conducting a research process to assist the relevant agencies in finding a solution to determine the location of appropriate disposal of medical waste through the application of information technology. The method used in this study is the TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) method, which is one method in the Decision Support System (SPK). Based on the results and previous discussion, it can be concluded that Mandoge is the main choice in choosing the right place as a place for disposal of medical waste because it has the necessary criteria. Therefore the application of the topsis method can help determine good alternatives in a decision-making system for selecting the best Medical Waste disposal sites.
Perengkingan Pengetahuan Dalam Time Series Data Mining dengan J-Measure
Authors: Buaton Relita , Zarlis Muhammad , Mawengkang Herman , Effendi Syahril
Published: November 2019

Computer system development is increasing very rapidly in generating and collecting data that can be seen in terms of the application of computerized systems that continuously improve transaction data in the business world and in government systems, as well as the ability of hardware to store data with large capacity, increasing interest in mining data in accordance with technological developments, including problems related to computer science and data representation which are considered effective and efficient solutions. In this study the technique used is processing time series data, some of the knowledge produced is then ranked so that priority knowledge is obtained with a high level of confidence. Proximity distance using j-measure euclidean and cracking. Based on the results of cracking found rules based on the level of confidence that can be used as a decision support
Penetapan Metode SMART dalam Merekomendasikan Jenis Sapi Terbaik untuk Peternakan Sapi Potong
Authors: Pangaribuan Gumilar Ramadhan , Bastian Yovan , Irawan Eka
Published: November 2019

The Livestock Sector is one of the most promising agribusiness sectors. The selection of the right type of cow is the duty of cattle farmers to get cows with good quality and greatly affect the success in raising cattle. Decision support system is a system that is able to provide a picture of the decision of the existing situation. And this system is applied to cattle farms to determine the best type of cow for the smooth running of the farm business. The method used is SMART. The samples used were 6 types of cattle and the assessment criteria in the selection of cattle were: Origin, Price, Age, Weight, and Size. The results of this study were the selection of Lemosin cattle as the best type of cattle for beef cattle farming. SPK in Cattle Purchases for Breeding is only a recommendation to the farmer, for the next process to be returned to the farmer.
Memprediksi Faktor Tunggakan Uang Kuliah Menggunakan Metode Naive Bayes
Authors: Purba Ledis Pebriani , Hartama Dedy , Irawan Eka , Wanto Anjar
Published: November 2019

Arrears of tuition will be a problem of the operational costs of private universities. In contrast to PTN (State Universities) which are assisted by the government while PTS (Private Universities) rely on tuition to carry out their activities. In carrying out the lecture process STIKOM Tunas Bangsa Students must carry out their obligations to pay tuition in a timely manner so there is no arrears in tuition. In this study, the method used to determine the factor of arrears of tuition is to use the Naive Bayes classification method. The parameters used are 6, namely C1 (Parent Income), C2 (Dependent Income), C3 (Parent Work), C4 (Residential Status), C5 (Money Abuse) and C6 (External Factor). The data used in this study were obtained by giving questionnaires to students of STIKOM Tunas Bangsa Pematangsiantar. Data training used 156 and testing data,and the most factors were external factors .It is expected that the results of this study can be used to help higher education institutions, especially STIKOM Tunas Bangsa education in knowing tuition arrears so that the best solution can be done to reduce the occurrence of tuition arrears.
Algoritma Naïve Bayes Dalam Memprediksi Kepuasan Nasabah
Authors: Sadewo Mhd. Gading , Windarto Agus Perdana , Damanik Irfan Sudahri
Published: November 2019

Customer satisfaction is very important in assessing the level of management and services provided by the bank. The purpose of this study is to predict customer satisfaction with the service quality of Bank BTN Pematangsiantar Branch in terms of Tangible, Reliability, Assurance, and Responsiveness. The sample of this study is the customer of Bank BTN Pematangsiantar Branch. Using the Naive Bayes algorithm, the author tries to predict customer satisfaction with the service quality of the bank. After manual calculations, verification is performed using RapidMiner software and a rule model is obtained. From the analysis process, it can be seen that the Naive Bayes algorithm can be implemented in predicting customer satisfaction with the service quality of the Bank. The testing carried out with RapidMiner software equipped with apply model and % Performance, and accuracy of 88% is obtained.
Jaringan Syaraf Tiruan untuk Memprediksi Penjualan Kelapa Sawit Menggunakan Algoritma Backpropagation
Authors: Sinaga Delima , Solikhun Solikhun , Parlina Iin
Published: November 2019

This study discusses the prediction of palm oil sales using artificial neural networks, which is one of the artificial representations of the human brain that always tries to simulate the learning process of the human brain. The application uses a backpropagation algorithm where the data entered is the number of sold. Then artificial neural networks are formed by determining the number of units per layer. After the networks is formed, training is carried out from the grouped data. Experiments are carried out with an architecture consisting of input units, hidden units, output units and architecture. Testing is done with matlab software. For now the competition for palm oil sales is getting tougher. Predictions with the best accuracy use the 12-2-1 architecture with an accuracy rate of 92% and the lowest level of accuracy using 12-6-1 architecture with an accuracy rate of 58%
Mengelompokkan Garis Kemiskinan Menurut Provinsi Menggunakan Algoritma K-Medoids
Authors: Wahyuli Disty , Handrizal Handrizal , Parlina Iin , Windarto Agus Perdana , Suhendro Dedi , Wanto Anjar
Published: November 2019

Poverty is a situation where there is an inability to fulfill basic needs such as food, clothing, shelter, education, and health. Poverty can be caused by scarcity of basic needs, or the difficulty of access to education and employment. Poverty is a global problem, some people understand this term subjectively and comparatively, while others see it from a moral and evaluative point of view, and others understand it from an established scientific perspective. The problem of poverty is a problem that arises in every country, especially in developing countries. The provincial poverty conditions in Indonesia have varying levels in cities and villages. In this study the data used was sourced from the central statistical body. The aim of the study was to determine the high and low number of cases of poverty based on the province using k-medoids. In Indonesia high poverty rates consist of 23 provinces and low poverty rates consist of 11 provinces. It is hoped that this research can provide input to the government in increasing employment, so as to improve the economy of the people in Indonesia.
Penerapan Algoritma Naive Bayes untuk Penentuan Resiko Kredit Kepemilikan Kendaraan Bermotor
Authors: Damanik Habibah Jayanti , Irawan Eka , Damanik Irfan Sudahri , Wanto Anjar
Published: November 2019

Credit companies provide rentals for the community to help obtain transportation vehicles such as motorbikes, but also require the approval received by companies such as bad payments in the payment of loans issued to companies that make money or financing. With the many credit risks, companies must be selective in choosing consumers who will be given credit so as not to make the company suffer losses. The method used in this study is the Naïve Bayes Algorithm and processed using Rapidminer Studio 5.3 software. The data used consisted of 55 training data and 10 test data. There are 9 variables used in this study, namely marital status, number of children, home ownership, housing conditions, employment, tenure, age, income, and down payment. The level of accuracy obtained from testing using Rapidminer Studio 5.3 is equal to 90%. By using the Naive Bayes algorithm in classifying consumers, it is hoped that it can assist companies in carrying out the mining process on the previous data and make the right decisions in determining new consumers from previous consumer data.
Penerapan Algoritma K-Means dalam Mengkluster Persentase Rumah Tangga yang Memiliki Komputer Berdasarkan Provinsi
Authors: Humahorbo Lamhot Fransiskus , Andani Sundari Retno , Suhendro Dedi
Published: November 2019

The development of computers is no stranger to the among of people in the modern era, the easier it is to find and obtain information with various means of information that we need to support various activities carried out, both from newspapers, books, and the internet through computers. Households have computers that in fact are a family sphere which consists of fathers, mothers and children who own or have a computer (PC) in a household. But from the percentage data of the Central Bureau of Statistics (BPS) 2012-2016 in the provinces and rural areas in Indonesia, it shows that there are still many and there are no lines of urban and rural areas that are up to 50% or only a few urban lines that are close to the percentage of the number of households has a computer that has been recorded. In this study the author discusses the Application of the K-Means Algorithm in clustering the percentage of households that have computers where data is obtained from the Central Statistics Agency (BPS). The criteria used are, for example, urban and rural areas. The usefulness of this method is to enter data into a cluster which consists of 3 clusters namely High, Medium and Low. Each data that has the same characteristics is grouped into one and the same cluster and data that has different characteristics are grouped into other groups. It is expected that this analysis can be an input for the government, especially the provinces that are the lowest cluster in the interest of households have computers to get a better evaluation review.
Penerapan Metode Gantt Chart dalam Menentukan Penjadwalan Kinerja Karyawan
Authors: Widyastuti Meilin , Irawan Eka , Windarto Agus Perdana
Published: November 2019

Performance has a very important role because performance is the form of the end result of the employee process completing their tasks. Employees who complete their tasks properly and correctly will have high performance. A leader or head of an organization will be recognized as a leader if he can direct his subordinates towards achieving organizational goals. Effective leadership is certainly needed in promoting employee performance, but needs to be supported by a good work environment. The existence of leadership and a good work environment is expected to improve employee performance. This study aims to determine the function of delay in completing the task. It requires analysis and the right approach to analyzing employee performance so that it can optimize the use of work time that is efficient in human resources. used is the Gantt Chart method which is used to show the tasks on the project as well as the schedule and time of implementation, such as the time of commencement of the task and also the time imit used to complete the task in question. tasks and allocation of employees better.
Penerapan Metode Multi Attribute Utility Theory Pada Peserta Didik Penerimaan Bantuan Operasional Penyelenggara (BOP) Pendidikan Anak Usia Dini
Authors: Sinambela Mona Debora , Handrizal Handrizal , Irawan Irawan
Published: November 2019

Early Childhood Education (PAUD) is one of the government programs in guidance aimed at children from birth to the age of six years which is carried out through providing educational assistance to help growth and physical and spiritual development so that children have readiness in entering further education. MAUT application (Multi Attribute Utility Theory) is intended to select PAUD that has the right to get assistance from the government. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively. The criteria used as a requirement in the selection of receiving operational assistance (BOP) for early childhood education are parents 'work (C1), parents' income (C2), number of children (C3), number of children attending school (C4), number of college children (C5). The results of the calculation using the MAUT algorithm are alternatives that can receive the operational assistance of the organizer who has the highest value is alternative A1 with a value of 1, alternative A3 with a value of 0.7, alternative A9 with a value of 0.63, alternative A7 with a value of 0.46 , alternative A4 with a value of 0.43. Therefore, it can be concluded that the MAUT algorithm can be applied to VBNet-based applications where from the results of the calculation we get the similarity between the system and calculations using the MAUT algorithm. This research is expected to be a recommendation to the Principal in selecting the selection for receiving operational assistance for early childhood children at Kindergarten Daniel HKBP Tomuan Pematangsiantar.
Implementasi Data Mining dalam Mengelompokkan Rumah Tangga Kumuh di Perkotaan Berdasarkan Provinsi Menggunakan Algoritma K-Means
Authors: Margolang Ranti Andini , Andani Sundari Retno , Lubis Muhammad Ridwan
Published: November 2019

Slum is an area with a high population density levels in the city are generally inhabited by the poor and the unemployment rate is high, the slum also became a center of health problems because the conditions are not higenis. Slum slum household is is the home that do not have access to a source of drinking water, have no access to decent sanitation, have no access to floor area > = 7.2 m2 Per capita, and do not have access to conditions the roof, floor, and walls. This study used data sourced from the Central Bureau of statistics the year 2015 – 2016. The method used is Datamining the K-Means Clustering, Clustering is a method used in datamining the how it works find and classify data that has a semblance and characteristics of data between one another with the data. Using this algorithm the data already obtained can be grouped into Clusters based on this data. This data can be entered to the local Government to recommend to the Government so that the Government can handle the Spreader area development assistance to areas of slum households.
Analisa Kelayakan Kredit Usaha Rakyat(KUR) dengan Menggunakan Metode Analityc Hirarcy Process (AHP)
Authors: Untari Retno Diah , Sembiring Rahmat W. , Damanik Irfan Sudahri
Published: November 2019

KUR is a general, individual, selective loan that aims to develop or improve a viable micro business, which is served by the Bank Sumut unit and given in rupiah. Determine the best value alternative that is worthy of receiving credit using the Analytical Hierarchy Process (AHP) method with predetermined criteria. Development tools that are used floartart with the Borland Alphi 7 programming language and microsoft access database. The basic concept of the weighted Analytical Hierarchy Process (AHP) method of performance rating in each alternative on all scales of the AHP method requires the process of normalizing the decision matrix to a scale that can be compared with all available alternative ratings. The criteria used in this method are the five criteria of the existing criteria in the calculation process of each criterion to get the best alternative results that deserve credit.
Penerapan Algoritma PROMETHEE Pada Seleksi Proposal Program Kreativitas Mahasiswa (PKM) pada STIKOM Tunas Bangsa Pematangsiantar
Authors: Sari Riyani Wulan , Windarto Agus Perdana , Irawan Eka
Published: November 2019

The Student Creativity Program (PKM) is a prestigious event for students where funding is carried out by DIKTI for proposals that pass the selection. The intense competition between students throughout Indonesia requires institutions to select proposals that are feasible to compete at the National level. This study discusses the Application of PROMETHEE Algorithm to Selection of Student Creativity Program (PKM) File Proposals on STIKOM Tunas Bangsa Pematangsiantar. The data used in this study were obtained directly from the chairman of the Institute for Research and Community Service (LLPM) STIKOM Tunas Bangsa by interview and observation. The criteria used as a requirement in the selection of PKM proposal file selection are title (C1), abstract (C2), introduction (C3), goal (C4), method (C5), results and discussion (C6), conclusion (C7), and bibliography (C8). This research is expected to be a recommendation to STIKOM Tunas Bangsa, especially LPPM in selecting PKM proposal files, considering that this is a prestigious event for students throughout Indonesia.
Penerapan Metode Naive Bayes dalam Menentukan Pengaruh Penasihat Akademik pada Kelulusan Mahasiswa Tingkat Akhir
Authors: Wulandari Sakila , Poningsih Poningsih , Saputra Widodo
Published: November 2019

In the lecture there is a permanent lecturer who serves as an Academic Adviser namely a person whose job is to provide students with assistance in adjusting to lectures and assisting students in solving problems encountered during college by providing various alternatives for students. Students are required to have abilities and expertise. To achieve the objectives of final year students and also universities in graduating the best graduates, communication between students and lecturers is needed. Because it is very influential in training mentally students and is very helpful for students in completing their lectures. The influence of an academic advisor can actually be an important factor for final year students, but students may also consider it to have no effect on their graduation. So the Naive Bayes method, in order to find out whether Academic Advisers play an important role in the graduation of final year students, students are asked to fill out a questionnaire relating to the influence or not of the Academic Advisor on final graduation. It is hoped that this study can determine the effect or absence of Academic Advisers on the graduation of final year students, later the results of the output from this system can be an evaluation material for universities.