bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplikasi Pengenalan Identitas Gambar Dengan Menggunakan Metode Backpropagation
Authors: Damanik Marni
Published: March 2024

With today's technological developments, many types of identifier systems have been developed for the benefit of users of the technology. This recognition system is used for some objects or also on humans. Image recognition applications have great hopes for the future. Start with the introduction of sketch images or static photos in a certain format. Of course, this is supported by the development of science and technology in the fields of image processing, analysis, and image understanding. To recognize the identity of the image so far it is very rare, but in this study describes how to identify the identity of the image with human photos. The image (image) in question is an image or human image whose identity is not known. Currently, many manipulate images or photos with the same image. However, it is not known which one was manipulated and which one was genuine. Based on these problems, it is necessary to apply an identity recognition system so that it can be known which ones are manipulated and which ones are genuine, by applying the backpropagation method. According to previous research entitled facial recognition applications using the backpropagation algorithm and voila jones with the authors Sayuti Rahman, Emil Fitranhah, Andi Marwan Elhanafi stated that to be able to recognize a person's image with the backpropagation algorithm, one must go through several stages of training and testing stages. Image is a method found in artificial neural networks. Where the artificial neural network is an artificial representation of the human brain which always tries to simulate the learning process in the human brain. one of them is the backpropagation method, backpropagation is one of the artificial neural network models that has the ability to get a balance between the network's ability to recognize the patterns used during training and the network's ability to provide the correct response to input patterns that are similar (but not the same) with the same pattern. used during training.
Modifikasi Algoritma Lucifer Dengan Menerapkan Pembangkitan Kunci Berdasarkan Naive Shuffle
Authors: Kasih Laia Berkat
Published: March 2024

Data security is a matter of maintaining the confidentiality of information, especially those containing sensitive information that only authorized parties may know, especially if the transmission is done via a public network, what if the data is not secured first, it will be very easy to be tapped and retrieved. know the contents of the information by parties who do not have the authority. One way to secure it is to use cryptographic techniques, namely by using the Lucifer algorithm technique and then randomizing the keys based on the Naïve Shuffle, this is done so that the keys in the data are much more random and not easy to find out the contents. This technique can minimize the occurrence of a leak of confidential messages, and the sender does not have to worry about the message. This research is expected to produce and show results in securing messages and to make it easier for the community to secure secret messages.
Algoritma Machine Learning untuk penentuan Model Prediksi Produksi Telur Ayam Petelur di Sumatera
Authors: Ihsan Maulana Muhamad  , Sigit Anugerah Wardana  , Anjar Wanto  , Agus Perdana Windarto
Published: March 2024

Laying hens eggs are one of the livestock commodities that make a very large contribution to the supply of eggs as a community need. Therefore, it is necessary to predict the egg production of laying hens in the future so that in the future the need for eggs in Indonesia is stable and can meet the demands of the Indonesian people. The method used in this research is a machine learning algorithm, namely Polak-Ribiere which is one of the artificial neural network methods that is often used to predict data. This study does not discuss the prediction results, but will discuss the ability of the Machine Learning algorithm to make predictions based on the egg production dataset of laying hens obtained from the Central Statistics Agency. The research data used is data on the production of laying hens in Sumatra from 2015-2020. Based on this data, network architecture models will be determined, including 4-5-1, 4-10-1, 4-15-1, 4-20-1, and 4-25-1. Of the five models, training and testing were carried out first and then obtained the results that the best architectural model was 4-25-1 with 0.03144841, the lowest among the other 4 models. So it can be concluded that the model can be used to predict the egg production of laying hens.
Implementasi Algoritma Quicksort Untuk Pembangkitan Kunci Algoitma RSA Pada Pengamanan Data Audio
Authors: Rido Hasibuan Muhammad
Published: March 2024

The RSA algorithm has two keys, namely the public key and the private key. This algorithm has security which lies in the difficulty in calculating discrete algorithms. Both encryption and decryption keys are integers. The RSA algorithm is a type of asymmetric cryptography algorithm, which consists of two keys, namely the public key for encryption and the private key for decryption. In the RSA algorithm, the distributed key is a public key which is not required to be kept secret while the private key is either stored or not distributed. Everyone who has the public key can perform the encryption process but the results of the encryption can only be read by the person who has the private key. To increase the strength of the algorithm, the key used to perform the encryption and decryption process will be modified first using a randomization algorithm, namely the Quicksort Algorithm. The Quicksort algorithm is a sorting algorithm developed by Tony Hoare, the average sorting performance is O (n log n) to sort n items. The purpose of using the Quicksort algorithm is to make the resulting key more difficult to guess, making it difficult for cryptanalysts to read the message or information.
Implementasi Teknik Steganografi Menggunakan Algoritma Cardan Grille
Authors: Lumbangaol Sartika
Published: March 2024

Data security and confidentiality is an activity that aims to secure data, especially data that is confidential and important. If there is a break-in and theft of information of an important data in a file, it will be detrimental to the parties concerned. Therefore it takes Steganography technique is a technique that can hide messages or confidential information into other messages so that other people are not aware of the existence of the message to be hidden. In this study, the authors build a text data security system using the Cardan Grille Algorithm. whose main function is to hide messages, not to encrypt messages, so Cardan Grille is more often used for steganography. To do Cardan Grille, you need a perforated sheet and in the holes will be filled with letters, which are filled with letters, which are filled with messages and after that the sheet will be lifted and filled with the remaining sentences.
Perancangan Aplikasi Pembelajaran Desain Grafis Corel Draw X7 Dengan Menggunakan Learning Management System
Authors: P Ayu Hutabarat Julita
Published: March 2024

Learning is a process of teaching and learning activities that are designed systematically, carried out between teachers and students, in order to achieve the designed learning objectives. The learning process must be designed in a system that is paying attention to an object as a whole. A good learning method is a method that is able to bring students to achieve an educational goal and train students' abilities in various activities, especially in Corel Draw Graphic Design subjects. Corel Draw is a vector graphics editor application that is used for designing, such as logo design, banners. , banners, covers etc. As for the many tools that exist in the Corel Draw X7 application, it is one of the obstacles experienced by Class XI SMK students in graphic design learning. The application of conventional learning models is still considered less effective. In addition, even with the addition of time, learning is still considered less effective. To overcome the existing problems, the author intends to design a corel draw X7 learning application by applying the Learning Management System model. Learning Management System is a web-based technology that helps in planning, distribution, and evaluation of a learning process. LMS provides an integrated platform for learning materials, delivery, and management that can be accessed by students, material makers, and administrators. This LMS is a learning model that contains trainings that use services to collect and deliver learning content quickly and precisely so that it will make it easier for students to understand learning to achieve the target of completing learning on time both online and offline as well as near or far distance learning.
Effects of Different Mixture Ratios of Common Vetch and Triticale on Forage Yield and Silage Quality
Authors: Öten Mehmet , Koç Mertcan , Gümüş Alperen
Published: March 2024

In order to obtain high amounts and quality forage in legume grain mixtures, the mixture ratios must be adjusted well. Since grains are tillered due to their physiology, their ratios in roughage are different from the mixing ratios in planting. This is a factor that increases roughage yield and reduces crude protein rate and yield. In addition, in cases where grains are insufficient in terms of minerals in animal nutrition and are planted in mixtures with legumes, the rapid development and high yield effects of grains should be combined with the balanced nutrition potential of legumes in order to obtain better quality feed. In the research, which was conducted to determine the effect of vetch and triticale mixture ratios on yield and silage quality in Sakarya ecological conditions, plantings were carried out at different mixture ratios. In this study, 100% Vetch, 100% Triticale, 75% Vetch + 25% Triticale, 50% Vetch + 50% Triticale and 25% Vetch + 75% Triticale were planted in Sakarya conditions and the effect of the mixture ratios on grass yield was revealed. Additionally, silage was made from the mixtures obtained, and the effect of the applied mixture ratios on silage quality was determined. Field trials of the research were carried out in the trial areas of Sakarya University of Applied Sciences, Faculty of Agriculture. In the experiment, plant height, green and dry forage yield observations were taken. At the end of the maturation period, silage was made in 2 kilogram containers from each parcel as a silage quality criterion; silage dry matter ratio, silage pH, crude protein ratio, ADF and NDF observations were taken. By calculating the physical and sensory analysis and fleig point used to determine silage quality, the silages obtained from the mixtures were defined in detail by chemical, physical and sensory analysis and the fleig point. In the study, the highest green forage yield, hay yield, crude protein, ADF, NDF ratio and fleig point were obtained from 100% Vetch, 100% Triticale, 100% Vetch, 100% Triticale, 100% Triticale and 50% Vetch+50% Triticale mixtures, respectively. Due to the favorable outcomes in terms of forage yield and silage quality, 25% Vetch + 75% Triticale mixture ratio can be recommended to producers.
Sistem Informasi Perekrutan Karyawan di Rumah Sakit menggunakan Metode Analisis Pieces
Authors: Fahmi M. Yusril , Indahyanti Uce
Published: March 2024

Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan sistem rekrutmen berbasis digital di Rumah Sakit Siti Khodijah Muhammadiyah Cabang Sepanjang. Dalam konteks perubahan menuju era digitalisasi, penelitian ini mengisi kesenjangan dalam pemahaman mengenai efisiensi dan pengelolaan rekrutmen karyawan di rumah sakit. Metode pengembangan sistem meliputi analisis kebutuhan, desain sistem, pengembangan perangkat lunak, dan implementasi sistem. Hasil dari penelitian ini berdasarkan uji fungsionalitas dengan menggunakan metode blackbox didapatkan hasil system informasi perekrutan karyawan sesuai dengan apa yang diharapkan. Penelitian ini berkontribusi dalam meningkatkan pemahaman tentang penerapan teknologi digital dalam manajemen sumber daya manusia di rumah sakit.
Os impactos psicológicos do bullying na rede escolar de ensino médio em alunos LGBT+
Authors: Grizorti Wagner , Leal Marcia da Luz , Melo Thiago Benitez
Published: March 2024

Este artigo é uma pesquisa bibliográfica baseada em quatro autores que abordam a importância da temática dos impactos psicológicos do bullying na rede escolar de ensino médio, com foco nos alunos LGBT+. O bullying pode desencadear uma série de efeitos psicológicos adversos, incluindo ansiedade, depressão, baixa autoestima, isolamento social, pensamentos suicidas e problemas de saúde mental. O ambiente hostil criado pela discriminação e assédio prejudica o bem-estar emocional dos alunos, comprometendo seu desempenho escolar. A educação sobre o impacto do bullying e a promoção da empatia são ferramentas essenciais. É fundamental criar um ambiente escolar inclusivo e respeitoso, em que os alunos LGBT+ sintam-se aceitos e valorizados, reduzindo os riscos de discriminação e assédio. Isso inclui a capacitação e formação de professores e funcionários, políticas de inclusão e envolvimento da comunidade escolar.
EVALUATING TIME SERIES PREDICTION MODELS: EGG PRICES IN MEXICO
Authors: Reyes-Radilla Miguel Ángel , Terrazas-González Gerardo Humberto , Romero-Padilla Juan Manuel , Ramírez-Valverde Benito , Suárez-Espinosa Javier
Published: March 2024

Mexico is the world’s largest consumer of eggs, producing 3.05 million Mg in 2021. The high variation in wholesale prices is a feature of the egg production system, which is important to producers and government institutions that need to forecast future prices for activity planning. As a result, it is necessary to propose tools that can reliably predict egg prices. The goal of this paper was to compare the performance of various statistical models by analyzing the time series of egg prices using the Akaike index and forecast error to determine which model best predicts the wholesale price of white eggs. The models evaluated were the autoregressive integrated moving average model (ARIMA), ARIMA with interventions, ARIMA with transfers, and regression with ARIMA errors. Two time series were used: the wholesale price of white eggs, constructed with data from the National System of Information and Market Integration (SNIIM) and the Agrifood and Fisheries Information Service (SIAP), and egg imports, calculated with data from the Economic Information System. The latter was used as an exogenous variable to explain the price of eggs. Both cover the period from January 2006 to December 2021. According to the Akaike index, the model with the best adjustment was ARIMA (0,1,1)(1,0,1)[12] with interventions. In the evaluation of forecast error, the best models were the regression models with ARIMA (1,1,0)(1,0,1)[12] and ARIMA (1,1,0)(1,0,1)[12] errors with transfer.
Análise de algumas características geotécnicas de rejeitos dispostos no Quadrilátero Ferrífero visando alternativas de reuso
Authors:   , Diniz Thiago Fonseca
Published: March 2024

O estado de Minas Gerais possui parte significativa das reservas minerais do Brasil concentrada em uma região de 14 cidades, no Quadrilátero Ferrífero. Devido à importância do beneficiamento de ferro para a economia do Brasil, a região tem se deparado com a necessidade de produzir a partir de lavras de menor teor mineral e com restrição de áreas para disposição de rejeitos, visto a exaustão da capacidade das estruturas existentes e dificuldades legislativas de alteamentos e construção de novas barragens. Assim, a caracterização dos materiais contidos em estruturas auxilia na tomada de decisões para a continuidade das produções e aumento da segurança. O presente estudo buscou, através de publicações da literatura, realizar uma caracterização dos rejeitos do Quadrilátero Ferrífero coletados em diferentes etapas do processo de beneficiamento (espessamento, filtragem e após a disposição) e diferentes metodologias de disposição. As análises mineralógicas apresentaram hematita e quartzo em todas as amostras além de goethita em grande parte destas, fato que é esperado pela região de exploração ter características semelhantes. As análises químicas demonstraram percentual de ferro alto para barragens de Vargem Grande e Forquilha II apresentando teor de 59% e 54% aproximadamente. Em comparação com os resultados de teor de ferro dos rejeitos obtidos após o espessamento, os rejeitos coletados em estruturas apresentaram em média menor teor, o que pode ser explicado pela segregação que ocorre nas praias de deposição onde o material de maior densidade (ferro) tende a ser encontrado em regiões inferiores. Os resultados de granulometria apresentaram maior variabilidade para os rejeitos oriundos de barragens que recebem rejeito total, e as estruturas de empilhamento drenado (aterro hidráulico) apresentaram padrão mais definido, assim como os rejeitos filtrados direcionados para empilhamento, fato explicado pela necessidade de controle deste aspecto nos materiais dispostos, uma das condições para segurança da estrutura. Com relação à reutilização de material para beneficiamento são necessárias análises de composição química por faixa granulométrica identificando a presença de material de teor adequado em granulometrias que permitem beneficiamento nos processos de cada usina, o que, pelos resultados apresentados, representa boa oportunidade para alguns empreendimentos. O reemprego de rejeito como material na construção civil pode ser uma oportunidade de redução do passivo ambiental e aumento de capital, sendo necessário um tratamento prévio das faixas granulométricas desse material.
On Resolvability of Graphs Associated with Vector Spaces
Authors:   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeshwaram, India, S Gopinath , K Mageshwaran ,   Department of Mathematics, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India
Published: March 2024

Let be a n-dimensional vector space over the field F with a basis . In this paper, we obtain the resolving parameters like metric dimension and partition dimension of graphs associated with vector space. Also, found the values of metric-locating-domination number, locating-domination number, and bipartite decomposition of kind of graph associated with vector space.
Can Robots Be Smarter than Human Beings?
Authors: Ruchi Gaur  , Karan Jain  , Sunakshi Shokeen  , Ankur Sachan  , Komal Gahletia
Published: March 2024

The rapid advancements in artificial intelligence (AI) and robotics have fuelled speculation about the possibility of machines surpassing human intelligence. This abstract explores the question of whether robots can become smarter than human beings. By analyzing the capabilities of contemporary AI technologies and understanding the fundamental characteristics of human intelligence, we assess the potential for machines to outpace human cognitive abilities. To address this question, we examine the current state of AI development, including machine learning, deep learning, and neural networks. We discuss how these technologies enable robots to process vast amounts of data, learn from it, and make autonomous decisions. Additionally, we explore the concept of "general intelligence" and its significance in comparing human intelligence to AI. While machines excel in narrow domains and specific tasks, achieving true human-like general intelligence remains an ongoing challenge. Furthermore, the abstract delves into the unique aspects of human intelligence that set it apart from current AI capabilities. Human cognition encompasses various complex abilities such as creativity, emotional intelligence, moral reasoning, and common sense understanding, which have proven difficult to replicate in machines. We examine the limitations and challenges faced by AI in these areas and explore the philosophical and ethical implications of creating machines that surpass human cognitive capacities. Ultimately, the abstract concludes that while robots have shown remarkable progress in specific domains, surpassing human intelligence in its entirety is a complex and elusive goal. Human intelligence encompasses a multitude of intricacies that extend beyond pure computational power. However, the abstract acknowledges the potential for future advancements in AI and robotics to challenge the boundaries of human cognitive abilities, warranting continued research and thoughtful consideration of their societal impact.
Monetary Smurfing Analytics Model using ML
Authors: Aaron Alex.X  , Barathram.B  , Anandhu.B  , Chithrakumar T
Published: March 2024

The act of taking money obtained from illegal operations, such as drug trafficking, and disguising it as profits from a legitimate business venture is known as money laundering. The money obtained through illegal action is regarded as dirty, and to make it appear clean, it is "laundered." Money laundering is a major concern to the country these days, as well as financial institutions. The sophistication of this illegal activity is growing; it appears to have beyond the tired old trope of drug trafficking to include financing terrorism and, of course, personal benefit. Research on anti-money laundering is crucial since money laundering is a global issue that seriously jeopardizes international security and financial stability. Furthermore, it's estimated that the banking system seizes only 0.2% of the money that has been laundered. The crime itself is growing more sophisticated and intricate, and banks are becoming more vulnerable as a result of its ongoing volume amplification. Considering the role that banking institutions play in the money-laundering industry, practitioners and researchers are becoming more interested in creative ways to solve problems and enhance anti-money-laundering efforts. Researchers are starting to look into the viability of artificial intelligence methods in this setting. A systematic knowledge deficit concerning a thorough study that meticulously examines and combines artificial intelligence methods for countering money laundering in the banking industry was discovered, though. To combat investment fraud, the majority of global financial institutions have been putting anti-money laundering measures into place. Data mining tools have emerged recently and are thought to be effective methods for identifying instances of money laundering.
Por que a União Soviética perdeu a corrida tripulada à Lua?
Authors: Silva Betzler Alberto
Published: March 2024

Há quase setenta anos, após o lançamento do Sputnik-1 e do início de uma série de satélites com massas da ordem de toneladas, a União das Repúblicas Socialistas Soviéticas (URSS) demonstrou que possuía foguetes com maior capacidade de carga que seus equivalentes no resto do mundo, fruto de um programa com alto nível de desenvolvimento fundamentado em uma eficiente rede de pesquisa e desenvolvimento na área espacial. Isto sugeriu que o próximo passo natural era a conquista da Lua e dos demais planetas do Sistema Solar. Porém, os programas soviético e estadunidense estavam em níveis completamente diferentes menos de dez anos depois: O cosmonauta Komarov havia morrido no primeiro teste de voo da Soyuz-1 e a Apollo–8 fazia a primeira circunavegação tripulada Terra-Lua. Após o primeiro pouso lunar americano em julho de 1969, autoridades soviéticas anunciaram ao mundo que nunca houve um programa destinado ao pouso de cosmonautas na superfície lunar. Com o fim da URSS, em 1991, documentos secretos sobre este assunto começaram a ser liberados revelando o contrário. As razões para a falta de êxito da URSS em colocar cosmonautas na superfície lunar são complexas e variadas, sendo analisadas neste trabalho.
A relação velocidade-distância para as galáxias estabelecida por Edwin Hubble
Authors: Machado Daniel Iria
Published: March 2024

A relação linear entre as velocidades de recessão das galáxias e suas distâncias ou, de modo equivalente, entre os desvios para o vermelho nos espectros das galáxias e suas distâncias, atualmente denominada lei de Hubble-Lemaître, é um resultado fundamental na área da Cosmologia, que pode ser entendido, de acordo com o modelo cosmológico padrão, como consequência de um Universo em expansão. Em um trabalho pioneiro publicado em 1929, Edwin Hubble (1889-1953) forneceu evidências consistentes da validade desta lei, com base em dados observacionais. Apresenta-se aqui uma tradução do inglês para o português deste influente artigo.
A ocultação de Marte pela Lua em 06 de setembro de 2020: contribuições da ciência aberta para a pesquisa em astronomia
Authors: Novais Maria , Tolentino Ricardo José Vaz
Published: March 2024

A astronomia desperta o interesse e cativa a imaginação humana devido à sua conexão com o que há de mais profundo nas indagações existenciais que habitam a mente. A beleza e a grandiosidade dos eventos celestes faz brilhar os olhos e, por essa razão, existem muitas pessoas que dedicam o seu tempo e recursos a explorar e capturar os eventos astronômicos. Neste artigo descrevemos a ocultação de Marte pela Lua, que foi capturada no dia 6 de setembro de 2020 pelo Observatório Lunar Vaz Tolentino. Discutiremos também de que maneira essa paixão pela ciência pode contribuir com o trabalho de pesquisadores da área e como o acesso aberto pode ajudar nesse processo.
Divulgação científica em astronomia para crianças no contexto pandêmico: uma proposta de disciplina eletiva para a licenciatura em pedagogia
Authors: Amorim Vitor , Belli Giselli , Izidoro Emerson , Vieira Rui Manoel de Bastos
Published: March 2024

Este artigo descreve experiência desenvolvida no contexto de uma disciplina eletiva, Divulgação Científica em Astronomia para Crianças, oferecida virtualmente a estudantes de Pedagogia da Universidade Federal de São Paulo (Unifesp) durante o segundo semestre de 2021, devido à pandemia de Covid-19. O curso abordou desde noções básicas de Astronomia até estratégias de produção de vídeos para divulgação científica, enfrentando desafios na transição da educação presencial para o ensino remoto. A metodologia didática incluiu a divisão da ementa da disciplina em três blocos, abordando temas essenciais para a Educação em Astronomia, e enfatizou a flexibilidade e resiliência necessárias no ambiente virtual. Os objetivos da disciplina, como oferecer uma formação teórico-prática, discutir temas relevantes para a Educação em Astronomia e estudar propostas para práticas de divulgação científica, foram alcançados. A abordagem colaborativa e as atividades práticas estimularam o pensamento crítico e científico dos estudantes, trazendo alguma contribuição para pensarem na Divulgação Científica como uma possibilidade didática dentro da educação científica. A experiência reforçou a importância da comunicação e da linguagem no processo educativo, mesmo à distância, e a necessidade de explorar ferramentas tecnológicas de maneira criativa e eficiente.
Galáxias anãs de brilho ultrabaixo
Authors: Madejsky Rainer Karl
Published: March 2024

A primeira galáxia anã de brilho ultrabaixo UFD (ultra-faint dwarf) foi descoberta no levantamento SDSS (Sloan Digital Sky Survey) em 2005, iniciando uma busca que resultou na descoberta de dezenas de galáxias anãs similares. Trata-se de uma continuação das galáxias anãs clássicas conhecidas antes do levantamento SDSS em direção a luminosidades e metalicidades mais baixas. O estudo da cinemática estelar mostra que as galáxias UFD possuem mais matéria escura que as galáxias anãs clássicas. As observações espectroscópicas revelam que as estrelas nas galáxias UFD são entre as mais velhas conhecidas e as de mais baixa metalicidade. As abundâncias de ferro Fe e de outros elementos químicos mostram grandes variações em consequência de formação estelar extensa no passado. A análise de estrelas individuais nas galáxias UFD em um intervalo estreito de massa estelar é consistente com a hipótese de que se formaram muitas estrelas de alta massa nas galáxias UFD e que o processo de formação estelar terminou na época de reionização do universo no redshift z ∼ 6. Uma vez que as galáxias anãs de brilho ultrabaixo UFD são os sistemas estelares mais velhos e os mais escuros conhecidos no universo, as mesmas são excelentes laboratórios para estudar a formação das primeiras galáxias no universo bem como o comportamento de matéria escura em pequena escala.
RESEARCH ON THE DISTRIBUTION OF AIRBNB ACCOMMODATION IN MAJOR EUROPEAN DESTINATIONS
Authors:   Department of Economics and Business, Faculty of Economic Sciences, University of Oradea, Oradea, Romania, HERTE Elena , BADULESCU Alina ,   Department of Economics and Business, Faculty of Economic Sciences, University of Oradea, Oradea, Romania
Published: March 2024

The Airbnb platform, one of the most popular platforms of its kind, is present worldwide, with a variety of accommodations, depending on the type of accommodation it offers (single room, whole apartment, etc.). In this article, we set out to analyse the spatial allocation of accommodation and the density of Airbnb listings in comparison with hotel establishments in Europe. For the spatial analysis of Airbnb accommodations we used data from the Inside Airbnb website and QGIS, an application used for geographic information systems (GIS) that supports visualization, editing, and analysis of geospatial data. In this way, we created a geospatial database that helped us better understand the dynamics of each location. After analysing the data we concluded that a consequence of the concentration of Airbnb accommodation is that life in these areas has become more expensive and more crowded for locals. Airbnb accommodation has caused inconvenience not only to hotel owners but also to locals. In addition, Airbnb is having a strong impact on the rental market by increasing rental prices. Another trend that can be seen from the distribution of Airbnb accommodation is that in cities with a seafront location, accommodation is located close to beaches and most accommodation is of the entire home/apartment type. Differences in the frequency of use and prices of listings highlight the geographical inequality in the benefits and impact of Airbnb’s activity. The Airbnb offer is not a uniform segment of tourist accommodation and its effects on destinations are important and should therefore be analysed in relation to the territorial context.
CAPITAL FLOWS AND INSTITUTIONAL QUALITY: A SYSTEMATIC LITERATURE REVIEW
Authors:   Department of Economics, University of South Africa, Pretoria, South Africa, BRAITON Nombulelo , ODHIAMBO Nicholas M. ,   Department of Economics, University of South Africa, Pretoria, South Africa
Published: March 2024

The understanding of what drives capital flows is continually evolving. Earlier theories provided support for the role of macroeconomic factors, however, the drivers expanded to include non-macroeconomic factors following the Lucas (1990) paradox, which spurred interest towards examining the role of institutional quality and, in more recent years, capital market frictions. While other reviews of capital flow literature have concentrated on macroeconomic drivers, this review focuses on institutional factors and frictions and delves into three types of flows, as drivers can vary by type of flow. The literature is vast on drivers of foreign direct investment (FDI) while drivers of other types of capital flows have been less studied, and evidence remains scant. There is evidence of institutional quality helping to explain the Lucas paradox. Based on the literature reviewed in this paper, many institutional factors are important for FDI. Law and order and military in politics are notably important for both FDI and portfolio debt. Findings for portfolio equity are limited. On capital market frictions, the empirical evidence shows that distance; economic ties; and having a common language, border, and colonial past help explain capital flows; with distance driving all three types of capital flows. This review will help inform further research and policies aimed at attracting and retaining foreign capital, especially in developing economies that need such flows for economic development and poverty alleviation.
Energy consulting: A tool for inclusion?
Authors:   ÖGUT, Hausner Beatrix , Karner Samira ,   ÖGUT, Tomasi Hannah ,   ÖGUT, Badieijaryani Azadeh ,   ÖGUT
Published: March 2024

This case study was conducted within the framework of the Austrian task participation IEA User-Centred Energy Systems Empowering all: Gender equality for the energy transition and analyzes to what extent the instrument of company-independent energy consulting in Austria addresses different target groups and takes gender and diversity aspects into account. Energy efficiency, climate neutrality in heating and electricity consumption are relevant aspects for the implementation of the energy transition. In addition, longer-term cost reduction for energy use is increasingly relevant for consumers and households. In Austria, therefore, company-independent energy consulting is offered and required renovations are partially subsidized (Stadt Wien, 2022). From a gender and diversity perspective, the following questions arise in this context: Who can take advantage of energy consulting? Who benefits from energy consulting? Are gender aspects, migration, age and socio-economic factors, as well as the overlaps of mentioned aspects (intersectionality) taken into account? What should be considered in gender and diversity friendly energy consulting? What could be a suitable approach for gender- and diversity-friendly energy consulting? In order to answer these questions, results of the international literature on the aspect of inclusion in energy consulting were first compiled, which were used for the development of the guideline for the data collection tools and for the data analysis. Based on this, internet research on the implementation of company-independent energy consulting and its funding opportunities in Austria was conducted. The unanswered questions about the systematics and processes of energy consulting were answered in a semi-structured expert interview with a person who conducts energy consulting. The case study is structured as follows: First, essential terms are explained. Then, the relevance of the case study for Austria as well as the international state of research are presented. This is followed by the results of the research and the interview along the guiding themes and the discussion of the results. Finally, the results are summarized, and recommendations are elaborated.
Maktabgacha yoshdagi bolalarning rivojlanishida nutq o‘stirishning ahamiyati
Authors: Karimbeganova Gulnoza
Published: March 2024

Bizga ma’lumki hozirgi kunda maktabgacha yoshdagi bolalarning ijtimoiylashuvida, ma’nan kamol topishida, kelajagi buyuk jamiyatda o‘z o‘rnini egallashida hamda o‘z hissiyotlarini ifodalashda nutqning ahamiyati benihoyat kattadir. Bilamizki, bolani har tomonlama rivojlantirish uning insoniyat tajribasi, bilimlari, qobiliyati va madaniyatining saqlovchisi bo‘lgan kattalar bilan muloqoti tufayli insoniyatning ko‘p asrlik tajribasini o‘zlashtirish asosidagina amalga oshiriladi. Bu tajribani faqat inson muloqotining eng muhim vositasi bo‘lgan til orqaligina berish mumkin. Bu sifatlarni bolalarda mujassam bo‘lishi uchun talab qilinadigan muhim jihat bu kattalarning e’tibori, mehnati hamda yosh avlodni tarbiyalash, unga sidqidildan ta’lim-tarbiya berishdir. Bolalarning nutqini o‘stirish metodikasi maktabgacha ta’lim tashkilotlaridan boshlab olib borilsa maqsadga muvofiqdir. Maktabgacha yoshdagi bolalarga nutq madaniyatini shakllantirishdan avval ularga insonning insonligini taʼminlaydigan eng abadiy qadriyat bo‘lgan tarbiya beramiz, ularda bilim va malakalar hosil qilamiz va shu asnoda ko‘zlangan maqsadga erishamiz.
Analisis Pengaruh Ketimpangan Pembangunan Dan Pertumbuhan Ekonomi Terhadap Kemiskinan di Kabupaten Kepulauan Mentawai
Authors: Sani Jusman , Irsyad M , Kamarni Neng
Published: March 2024

Penelitian ini bertujuan untuk menganalisis Pengaruh ketimpangan pembangunan dan pertumbuhan ekonomi terhadap kemiskinan di Kabupaten Kepulauan Mentawai. Pendekatan penelitian adalah kuantitatif dan metode yang digunakan dalam penelitian ini yaitu metode asosiatif. Data yang digunakan adalah data dari Badan Pusat Statistik yaitu data time series (kemiskinan, ketimpangan, PDRB tahun 2013 - 2022). Intrumen alat analisis  menggunakan Regresi Linier berganda. Hasil penelitian menunjukkan bahwa secara parsial ketimpangan pembangunan tidak berpengaruh signifikan terhadap tingkat kemiskinan di Kabupaten Kepulauan Mentawai. Sementara itu pertumbuhan ekonomi berpengaruh secara signifikan terhadap tingkat kemiskinan di Kabupaten Kepulauan Mentawai.
Pengaruh Capital Adequacy Ratio (CAR), Net Interest Margin (NIM), Beban Operasional dan Pendapatan Operasional (BOPO) Terhadap Return on Asset (ROA) Pada PT Bank Pembangunan Daerah Kalimantan Periode 2018 - 2022
Authors: Suhendra Suhendra , Aswat Ibnu
Published: March 2024

Abstract: This study aims to determine the influence of CAR, NIM, and BOPO on PT Bank Pembangunan Daerah Kalimantan for the period 2018-2022. The population of this study is all Bank Pembangunan Daerah Kalimantan, which consists of 4 companies. The sampling technique used is purposive sampling, which means the sample is taken based on certain considerations. The consideration is that Bank Pembangunan Daerah Kalimantan has complete financial data for a period of 5 years, namely 2018-2022. The data analysis method in this study is multiple regression analysis using SPSS Version 29 software. Based on the results of hypothesis testing, it can be concluded that CAR does not have a positive influence on ROA partially. NIM partially has a positive and significant influence on ROA. Meanwhile, BOPO does not have a significant influence on ROA in PT Bank Pembangunan Daerah Kalimantan for the period 2018-2022. Keywords: BOPO, CAR, NIM, ROA
Pengaruh Live Streaming, Advertising dan Affiliate Marketing Terhadap Minat Beli Di Shopee (Studi Kasus Pada Mahasiswa Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro)
Authors: Siswanto Eliza Junita , Aryanto Vincent Didiek Wiet
Published: March 2024

Setiap tahun terjadi kenaikan pengguna internet dan hal tersebut dapat dimanfaatkan sebagai peluang pengembangan bisnis bagi Shopee. Peluang tersebut ditunjukkan oleh jumlah pangsa pasar marketplace Shopee yang berada di urutan pertama mengalahkan kompetitornya. Penelitian ini dilakukan dengan tujuan untuk mengetahui  beberapa faktor yang memberikan pengaruh kepada minat beli pengguna Shopee pada Fakultas Ekonomi dan Bisnis Dian Nuswantoro Semarang. Adapun faktor-faktor yang diteliti meliputi live streaming, advertising dan affiliate marketing. Populasi dalam penelitian ini meliputi para pengguna aplikasi Shopee dan merupakan mahasiswa Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro Semarang. Pengambilan sampel pada penelitian ini menggunakan teknik purposive sampling kepada 105 responden yang diambil sebagai sampel pada penelitian ini. Pengumpulan data primer dilakukan dengan membagikan kuesioner melalui Google Form kepada para responden. Sedangkan untuk data sekunder berasal dari jurnal-jurnal dan literature dari penelitian terdahulu. Teknik analisis data yang digunakan ialah dengan menganalisis outer model yang mencakup uji validitas dan reliabilitas serta inner model yang mencakup uji multikolinearitas, uji Coefficient Determination, uji Effect Size, uji goodness of fit (GoF) dan uji hipotesis dengan menggunakan software pengolahan data SmartPLS-3. Dari penelitian ini, didapatkan hasil bahwa live streaming mempengaruhi minat beli secara signifikan, advertising mempengaruhi  minat beli secara signifikan, sedangkan affiliate marketing tidak terlalu mempengaruhi minat beli.
Pengaruh Literasi Keuangan, Inklusi Keuangan Dan Teknologi Finansial (Fintech) Terhadap Keberlanjutan UMKM Di Kota Semarang
Authors: Kisin Dayinta Lalita , Setyahuni Suhita Whini
Published: March 2024

Keberlanjutan usaha merupakan kemampuan pelaku usaha dalam bertahan pada setiap keadaan ekonomi yang dapat dilihat dari literasi keuangan dan adanya peningkatan kompetitif serta peningkatan penggunaan layanan jasa keuangan non-formal khususnya pada teknologi finansial (fintech). Penelitian ini bertujuan untuk menguji lebih lanjut terkait dengan faktor-faktor yang mempengaruhi keberlanjutan UMKM. Penelitian ini menggunakan metode kuantitatif dengan teknik purposive sampling. Populasi dan sampel pada penelitian ini adalah pelaku UMKM aktif yang menggunakan layanan teknologi finansial (fintech) sebanyak 60 UMKM. Metode pengumpulan data penelitian dengan penyebaran kuesioner. Teknik analisis yang digunakan adalah analisis uji validitas, uji reliabilitas, uji normalitas, dan regresi linear berganda yang diolah dengan SmartPLS versi 3.2.9. Hasil penelitian menunjukan bahwa literasi keuangan dan inklusi keuangan berpengaruh positif terhadap keberlanjutan UMKM, sedangkan teknologi finansial tidak berpengaruh positif terhadap keberlanjutan UMKM.
Pengaruh Citra Merek, Variasi Menu, dan Pemasaran Sosial Media terhadap Minat Berkunjung Kembali pada Restoran Dimsum Mamatjoe Medan
Authors: Khong Rifin , Tandiwan James
Published: March 2024

Restoran Dimsum Mamatjoe merupakan restoran dengan menu utama dimsum dengan gaya Hongkong. Jumlah pelanggan yang semakin menurun dapat mengindikasikan bahwa pelanggan merasa tidak mendapatkan nilai lebih dari restoran tersebut dan tidak puas dengan restoran tersebut. Penelitian bertujuan untuk mengetahui citra merek, variasi menu dan pemasaran media sosial memberikan pengaruh terhadap kepuasan pelanggan. Citra merek yang lebih tinggi berarti komunitas yang lebih kuat atau konsumen akan kembali lagi karena kepercayaan pelanggan terhadap variasi menu layanan, yang mempengaruhi kebahagiaan konsumen dan keinginan untuk membeli lagi. Media sosial Instagram sangat penting untuk penyebaran informasi. Pemilihan metode kuantitatif dan deskriptif dengan menggunakan studi kausal digunakan dalam penelitian untuk menganalisis sampel berjumlah 97 konsumen dari restoran dengan model non probability dan convenience sampling. Dalam hasil penelitian menunjukkan hasil secara bersama variabel citra merek, variasi menu dan pemasaran sosial media secara signifikan dalam pengujian parsial maupun simultan berpengaruh terhadap kepuasan konsumen pada persentase 53.9%. Dapat direkomendasikan kepada Restoran Dimsum Mamatjoe untuk mengembangkan kampanye pemasaran, memperluas variasi menu, meningkatkan konten visual, program diskon untuk pelanggan yang sering berkunjung.
Mengungkap Gejolak Pasar: Analisis Volatilitas Saham dan Volume Perdagangan LQ45 Sebelum dan Selama Pandemi Covid-19
Authors: Nurjanah Anis , Zamzam Irfan , Zainuddin Zainuddin
Published: March 2024

Berbagai aspek kehidupan telah terpengaruh oleh pandemi Covid-19, termasuk sosial, pendidikan, pariwisata dan perekonomian. Pasar modal adalah salah satu bagian dari ekonomi yang terkena dampak pandemi. Tujuan dari penelitian ini adalah untuk menganalisis perbedaan volatilitas harga saham dan volume perdagangan saham pada perusahaan indeks LQ45 di Bursa Efek Indonesia sebelum dan saat pandemi Covid-19. Penelitian kuantitatif ini menggunakan metode studi peristiwa, dengan teknik pengumpulan data dokumentasi bersumber dari data sekunder berupa laporan tahunan pada perusahaan indeks LQ45 untuk mengumpulkan data harga saham dan volume perdagangan saham tiga tahun sebelum pandemi, yaitu 2017–2019, dan tiga tahun saat pandemi, yaitu 2020–2022. Hasil penelitian menunjukkan bahwa ada perbedaan dalam volatilitas harga saham dan volume perdagangan saham sebelum dan saat pandemi. Hal ini menunjukkan bahwa pilihan investor untuk menjual saham dipengaruhi oleh pandemi Covid-19.
Pengaruh Inovasi Produk, Physical Evidence, Experimental Marketing Dan Wom Communication Terhadap Minat Pembelian Ulang (Studi Kasus Pada Konsumen Kafe Bosque Coffee)
Authors: Efendi M. Youngky , Putri Intan Erlinia Eka Fatma , Taqwima Agni Pretty , Subroto Agus Andi , Mashudi Muhammad
Published: March 2024

Pertumbuhan bisnis Kafe di Indonesia berkembang sangat pesat. Hal ini menjadikan penelitian dilakukan bertujuan untuk mengetahui Pengaruh Inovasi Produk, Physical Evidence, Experimental Marketing dan WOM Communication terhadap Pembelian ulang pada konsumen kafe   Bosque Coffee. Penelitian ini merupakan jenis penelitian kuantitatif dengan teknik Purposive Sampling. Pengumpulan data menggunakan angket kuisioner G-form dengan kriterian minimal pembelian 2x di Kafe Bosque dengan jumlah 140 responden. Hasil penelitian ini menunjukkan bahwa Inovasi produk berpengaruh terhadap pembelian ulang karena konsumen menyukai produk yang sangat bervariatif. Physical Evidence berpengaruh terhadap pembelian ulang karena fasilitas dan rasa nyaman yang menarik minat konsumen. Experimental Marketing sangat berpengaruh terhadap pembelian ulang Karena jasa yang di berikan sangat baik. WOM Communication sangat berpengaruh terhadap pembelian ulang Karena informasi yang di berikan konsumen pada konsumen lain sangat mempengaruhi konsumen untuk datang
Pengaruh Beban Kerja dan Stress Kerja Terhadap Kepuasan Kerja Karyawan PT Berkat Sawit Sejati
Authors: Putra M Ridho Amirsyah , Halin Hamid , Yeni Yeni
Published: March 2024

Tingkat stress yang tinggi atau rendah tergantung pada manajemen stress yang dilakukan oleh tenaga kerja untuk mengelola stressor kerja bahwa stress kerja memiliki hubungan dengan beban kerja, dimana aspek-aspek yang memiliki hubungan meliputi aspek tugas, waktu dan keadaan atau kondisi normal. PT. Berkat Sawit Sejati terdapat karyawan yang berkerja dengan batasan dan tekanan waktu yang berlebihan sehingga menciptakan stres kerja pada karyawan. Penelitian ini bertujuan untuk bagaimana dari pengaruh beban kerja dan stres terhadap kepuasan kerja karyawan di PT. Berkat Sawit Sejati Musi Banyuasin Sumatera Selatan. Dalam penelitian ini dilakukan dengan menggunakan analisis kuantitatif dan melibatkan 70 responden, berdasarkan dari hasil menunjukkan bahwa baik beban kerja maupun stres kerja menunjukkan berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan secara parsial maupun simultan. Pengujian dalam penelitian dilakukan melalui uji parsial,uji simultan, dan koefisien determinasi pada SPSS versi 25, hasil dari pengujian secara parsial menunjukkan bahwa Beban Kerja (X1) dan Stres Kerja (X2) signifikan pada Kepuasan Kerja Karyawan di PT. Berkat Sawit Sejati Musi Banyuasin, dengan THitung masing-masing 7,961 dan 28,507 (THitung > TTabel 1,668). Secara bersama-sama, FHitung 619,051 (FHitung > FTabel 3,132) hal ini menunjukkan adanya pengaruh positif dan signifikan pada kepuasan kerja karyawan. Berdasarkan hasil tersebut bahwa beban kerja dan stres kerja berperan dalam meningkatkan kepuasan kerja karyawan di perusahaan PT. Berkat Sawit Sejati Musi Banyuasin Sumatera Selatan.
Eksistensi Komunitas Praktisi Pekerja Gig: Peran Keterikatan Kerja dan Kepuasan Kerja untuk Meningkatkan Resiliensi
Authors: Sianipar Martin Yehezkiel , Welly Yerisma
Published: March 2024

Sudah menjadi kearifan lokal bahwa pekerja gig (pekerja informal) sering membentuk komunitas-komunitas praktisi untuk mendukung keberadaan mereka dalam ekonomi gig. Dibangun diatas teori dukungan social, penelitian ini mengkaji karakteristik ekonomi gig, yakni peran facilitating collectivity dalam bentuk komunitas praktisi (community of practice) pekerja gig. Penelitian ini bertujuan untuk menguji peran moderasi komunitas praktisi pekerja gig dalam memperkuat pengaruh keterikatan kerja terhadap resiliensi pekerja gig. Hubungan ini dijelaskan oleh peran mediasi kepuasan kerja. Selain itu, penelitian ini memberikan bukti bahwa hubungan tidak langsung melemah ketika pekerja gig tersebut teridentifikasi bukan anggota komunitas praktisi. Temuan penelitian ini memperkuat kontribusi teori dukungan social bagi pekerja gig dan implikasi praktis bagi pekerja gig untuk meningkatkan resiliensi melalui keanggotaan komunitas praktisi.