bluuebunny/crossref_metadata_2025 huggingface dataset:
The Investment Aspects of the Marshall Plan Implementation
Authors:   Institute of Regional Research named after M. I. Dolishniy of the NAS of Ukraine, Nestor Olha Yu.
Published: July 2023

The Marshall Plan, or the Recovery Program for Europe, was a successful and ambitious project of the United States of America to help Europe affected by World War II, which, thanks to US assistance, was able to restore and surpass the pre-war level of prosperity. The article is aimed at analyzing the investment aspects of implementation of the Marshall Plan. The article reveals the features of the Marshall Plan (history, goals, coordination, and differences from other assistance programs) and considers the investment aspects of its implementation in the annual context. Attention is mainly focused on production, agriculture and their dynamism and efficiency, as well as labor productivity. The attempt of the OEEC to study the possibilities of coordinating investments in Europe is analyzed. The role of auxiliary partner funds in local currency in the development of investment projects is disclosed. Some features of European trade and the European Payment Union are considered. The influence of the force majeure factor – the war in Korea – on reorientation of the Marshall Plan’s objectives from economic recovery to defense is disclosed. The deliberate, rational and large-scale investments helped Europe devastated by World War II to restore its prosperity and achieve prosperity. Thanks to investments, it was possible to significantly increase European production. However, the investments were used as efficiently as possible only in combination with other factors, such as: an established entrepreneurial culture, stable legislation and protection of investors’ rights, productivity growth and the use of advanced technologies in production. Studying the experience of implementing the Marshall Plan is useful given that Ukraine has also suffered significant damage as a result of russia’s military actions and will require huge efforts to restore the economy together with large-scale investments.
Investing in Environmental Protection in the EU Countries and Ukraine
Authors:   Ivano-Frankivsk National Technical University of Oil and Gas, Panevnyk Tetiana M. , Bolgarova Natalia K. ,   National University of Life and Environmental Sciences of Ukraine
Published: July 2023

The article analyzes the current state of investments in environmental protection in the EU and Ukraine. The growing importance of ecological problems in the world along with the need to take effective environmental-protecting actions have been determined. It has been found that the growth of the absolute value of investments in environmental protection is not accompanied by structural growth in the total amount of GDP and is characterized by unstable dynamics. The structure of expenditures and investments regarding environmental protection is analyzed according to the institutional component. A significant increase in the expenditures of the corporate sector for environmental protection and intensification of the development and implementation of innovative technologies in the environmental sphere have been identified. It is noted that in the EU countries the corporate sector has the largest share in the total amount of expenditures on environmental protection. An analysis of investments of the corporate sector in environmental protection by types of economic activity is carried out. The structure of expenditures on environmental protection in the EU and Ukraine is considered. It is revealed that their largest share is focused on waste and wastewater management. The status and structure of capital investments by types of environmental measures in Ukraine are characterized. In order to optimize the structure of investment sources and directions of their use, it is proposed to increase the share of expenditures in the development and implementation of innovative technologies in the ecological sphere.
The Identification Signs of the Functioning of the Tourism Market in Spain
Authors:   Stryi Vocational College of the Lviv National University of Nature Management, Tymoshchuk Oleksandr O.
Published: July 2023

The article examines a set of instruments that characterize the national peculiarities of achieving the quality of tourism services in the recreation industry of Spain, which has specific signs of competitiveness in the world tourism market. The necessity of the State support for the implementation of the conception of improving and ensuring the quality of tourism services as one of the prerogatives of the national policy of Spain, which is a characteristic feature of the tourism market, is substantiated. The content of five basic directions of the New Strategy for the Development of the Tourism Sector in Spain until 2030 is disclosed: joint management; sustainable growth; competitive transformation; tourist space, companies, and individuals; product, marketing and travel intelligence. It is noted that the comprehensive nature of the concept of marketing in tourism provides for its implementation at different levels of management of creation, formation, promotion and sale of tourism product. It is emphasized that an important role in comparing the pricing policies of hotels and tourist apartments in Spain is played by online travel agencies, which, on the one hand, attract tourists who are price sensitive, and on the other hand, combine many different hotel offers, which reduces the cost of information for tourists. The article allocates the brand of Spain and the tourist image, which it designs and which acts not only as a «brand umbrella», containing both communicative and tourism elements, but also forms its own tourist image of Spain, realized through tourist advertising. The article shows the necessity of segmentation of the tourism services market, i.e. development of a complex of marketing – targeting for classification of tourists into homogeneous groups or segments in terms of tourist preferences. The effectiveness of the State support of transport infrastructure as a key element of intensification of tourist flows to Spain is verified.
Crisis Management as a Counteraction to Bankruptcy: The Experience of Ukrainian Microcrediting Enterprises
Authors:   Taras Shevchenko National University of Kyiv, Plieshakova Nataliia А. , Chukhlib Hanna V. ,   Taras Shevchenko National University of Kyiv
Published: July 2023

The proposed scientific article is devoted to the topical issue of the need for crisis management in the microcrediting market. The article considers the crisis (resulting from the full-scale invasion) as a factor influencing the smooth functioning of the company. The importance and relevance of crisis management of the company in conditions of uncertainty during the wartime is emphasized. Analyzing and summarizing scientific works of domestic and foreign scholars, it was proposed to study crisis management through the prism of the stages of crisis development, i. e.: crisis prevention, crisis management, overcoming the consequences of the crisis. Each of the stages requires a number of necessary measures that should be applied by the company for effective crisis management. Among the main ones of these measures are: early diagnosis of the crisis; rapid response to crises; implementation of preventive measures; creation of an anti-crisis program; implementation of post-crisis strategies. The article analyzes crisis management during the wartime on the example of a representative of the microcrediting market – LLC «MoneyVEO Quick Financial Assistance». The major anti-crisis measures of the company include: improvement of IT infrastructure; setting up automated and well-coordinated work of top management; attraction of external financial resources; compliance with legal requirements; cost reduction; improvement of the system for assessing the creditworthiness of counter-parties. An analysis of the main financial indicators of the company was carried out, on the basis of which a conclusion was made about the effectiveness of crisis management during the wartime. The probability of bankruptcy remains high, but there are opportunities to bypass it and bring the company out of the crisis. Prospects for further research in this direction are the need to apply preventive crisis management instruments and improve the mechanism of strategic crisis management.
Prospects for Implementing Blockchain Technology in Transport Logistics and Supply Chain Management
Authors:   Simon Kuznets Kharkiv National University of Economics, Kolodizieva Tetiana O.
Published: July 2023

The article, based on the account of features, advantages, varieties of blockchain, highlights its weaknesses and strengths in terms of implementation in transport logistics and supply chain management. The study of the external environment of the introduction of blockchain in the logistics industry has revealed the opportunities and threats that accompany this process in the modern economy of countries and may arise in the future. Based on structuring the research results on the strengths and weaknesses of blockchain technology, opportunities and threats of its implementation in the logistics industry, a SWOT analysis of this technology was carried out in terms of its use in transport logistics and supply chain management. As strategies that allow taking advantage of blockchain and taking into account the possibilities of the external environment, the development of intelligent transport systems (ITS) using blockchain together with its use in rail, sea and air international cargo transportation has been determined. Nine main strategies for the use of blockchain were allocated, which determine long-term benchmarks of activity at different institutional levels of the economy: micro, meso and macro levels. The proposed strategies are relevant in the context of using blockchain in the areas of urban and humanitarian logistics; logistics of meta- and meso-logistic systems of supply chains formed in the process of international trade; logistics of macro-logistic systems of countries and sectors of their economies; information logistics; financial and smart logistics and related to sectors of economies B2B, B2C, C2C, G2B, G2C, B2G. An integrated approach to the implementation of blockchain in the transport industry and supply chain management based on certain strategic benchmarks will allow the most measured implementation of the basic principles of the logistics management concept, such as transparency, efficiency, reduction of overall costs, confidentiality, trust, authentication, cooperation, integration, and optimization.
Process Performance: The System, Energy, and Econophysic Approaches in the Context of Modeling
Authors:   Vinnytsia National Technical University, Burennikova Nataliia V. , Yarmolenko Viktor О. ,   Vinnitsa
Published: July 2023

In the article from the point of view of the system, energy and econophysic approaches, certain aspects of the theory and practice of measuring the effectivity (in particular, efficiency, performance) of the processes of functioning of the system are outlined. It is emphasized that modern realities point to the actualization of issues in quantum econophysics, in particular the adaptation and use of the mathematical apparatus of quantum mechanics for modeling processes in the economy, the use of quantum mechanical models and analogies, the application of quantum mechanical ideology, since modern socio-ecological-economic systems are complex, nonlinear, synergistic phenomena are observed in their dynamics, instability and poor predictability occur. The aim of the publication is to highlight some analogues of concepts and indicators similar to fundamental physical concepts in the paradigm of «cognition – measurement – evaluation – management» regarding the functioning of socio-ecological-economic systems and processes in them along with outlining approaches to determining the performance of these processes on the basis of modeling using the system, energy and econophysic approaches. It is proposed in the paradigm of «cognition – measurement – evaluation – management» regarding the performance of the processes of functioning of systems to take into account the economic interpretation of the Heisenberg uncertainty principle and the concept of the economic analogue of the Planck constant. It is substantiated that the theoretical and methodological analysis of some basic fundamental physical concepts (energy, momentum, etc.) and their formal and informal connections with real economic concepts and processes will contribute to the improvement of the procedure for determining and applying the energy efficiency coefficient of the processes of functioning of systems based on the authors’ indicators of the components of the performance of processes, taking into account the economic interpretation of the Heisenberg uncertainty principle and the concept of an economic analogue of the Planck constant.
The Role of Green Logistics in the Development of a Sustainable Supply Chain
Authors:   Lviv Polytechnic National University, Ilnytskyi Viktor V. , Ozarko Kateryna S. ,   University of Intellectual Technologies and Communications, Yurchik Andrii I. ,   Lviv Polytechnic National University
Published: July 2023

The article presents the results of research in the field of sustainable development and responsible consumption, analyzes global logistics trends, and updates the essence of the concept of "green logistics". The main factors of the formation of a sustainable supply chain at the current stage of development of macro-logistics systems are characterized, the role of green logistics in these business processes is described. It is substantiated that in a sustainable supply chain, all processes are organized and interconnected in such a way that they create special value for the customer who demonstrates responsible consumption. Among the best business practices in the field of green logistics within the framework of a sustainable supply chain, the following can be distinguished: reduction of energy consumption; reduction of packaging/containers; reduction of greenhouse gas emissions; waste reduction; effectiveness of sales channels; compliance with environmental requirements; risk management; differentiated services; selling expenses. The research focuses on the fact that the future of green logistics is connected with the development of new technologies. The use of blockchain technology is also considered relevant, because one of the most effective ways to achieve the goals of green logistics is the digitalization of transport processes. Shifting to more sustainable practices is important on a global scale to reduce the negative environmental impact of logistics infrastructure. At the same time, the creation and development of sustainable supply chains will provide synergistic effects and provide benefits for all business partners. It has been proven that green logistics is becoming an integral part of sustainable business practices and can help organizations save money while protecting humanity from global environmental catastrophe. In the future, it is logical to study the problems associated with the implementation of green logistics by Ukrainian enterprises, in particular in the context of overcoming crisis phenomena and post-war reconstruction.
Inflation Targeting in Central Banks’ Monetary Regimes: A Retrospective Overview
Authors:   Sumy State University, Ohorilko Yurii M.
Published: July 2023

The article is aimed at defining the place of inflation targeting in the system of monetary regimes of central banks and outlining its main characteristics in the process of historical development. Financial stability, as the main mandate of central banks, is ensured within different monetary regimes that historically change along with general changes in the type of monetary system as such. Within each monetary regime, central banks are endowed with their own monetary-credit regulation instrumentarium. Inflation targeting, which is currently the relevant dominant type of monetary regime of central banks, is characterized by its own approach to ensuring financial stability and by an appropriate instrumentarium. The article analyzes the monetary regimes of central banks, features of inflation targeting as a regime of monetary policy of central banks and identifies the basis for modernization of the monetary policy framework as a succession of the crisis of 2007–2008. As result of the study, it is determined that inflation targeting is a monetary regime of central banks, which orients monetary-credit policy towards ensuring the long-term inflation rate within the ranges declared by central banks. Inflation targeting, together with the classical gold standard system, historically provides confidence in central banks’ monetary policy and stable inflation expectations of economic actors. After the crisis of 2007–2008, the framework of monetary policy focused on inflation targeting has not changed significantly, refocusing the attention of monetary institutions on macroprudential supervision.
Current Trends in Mental Health Financing
Authors:   Sumy State University, Dombrovskyi Vladyslav S.
Published: July 2023

The article is aimed at generalizing and comparing existing approaches to financing mental healthcare, as well as analyzing current trends in this area. The article is an overview and is based on recent research on this topic. The list of relevant articles was formed using content analysis in order to identify key approaches to mental health financing. The article considers the place of financing in the State policy concerning the field of mental health, analyzes the main sources and mechanisms of financing healthcare. The main advantages and disadvantages of basic financing models are considered. The existing financing systems are quite complex, which is influenced by both historical traditions and socio-cultural characteristics of countries, as well as peculiarities of mental illness: they are quite common, require long-term and expensive treatment, which requires interaction between healthcare systems and social support of the population. It is determined that there is no single optimal model for financing mental healthcare, but there are approaches that show better efficiency. For example, the system of pre-accumulation of funds is more efficient than an «out of pocket» paying for services. Also, public financing prevails over private financing in many respects. Most countries are reviewing existing approaches to the functioning and financing of the healthcare system. They move away from providing services based on psychiatric hospitals and transfer them to the level of individual communities, including them in the overall package of medical services. The low median level of public spending on mental health in the world remains a problem (especially in low- and middle-income countries). Prospects for further research are to analyze the current health financing system in Ukraine and the best foreign models that could be used as models for reforming the Ukrainian mental healthcare system.
Formation of the Innovative Potential of Enterprises in the Digital Economy
Authors:   State University of Trade and Economics / Kyiv National University of Trade and Economics, Kulikov Oleksii P. , Kvashyna Yuliia A. ,   Simon Kuznets Kharkiv National University of Economics, Kryvonis Kostiantyn V. ,   Simon Kuznets Kharkiv National University of Economics
Published: July 2023

The article analyzes the features of formation of innovative potential of enterprises under conditions determined by the transition from industrial-market to information-network economy, which combine different regularities and mixed forms, have signs of emerging digitalization of traditional business processes, application of innovative tools for production, support and development of business. The signs of economic models of development today are digitalization (integration of digital technologies into business processes), inclusion (taking into account the social factor), circularity (use of high technologies for the production of alternative types of energy, environmental protection). The results of scientific and technological progress provide companies and project teams with strategic opportunities to respond quickly to market demands, create innovative products, ensure flexibility and uniqueness of decision-making and, thus, predetermine the appearance of new business systems and business processes, create a new value essence of innovative products and services (for example, Uber, Airbnb, digital banking, etc.). The carried out analysis of conditions, status and prospects of innovative development of the world-wide leading companies and of their experience provided an opportunity to highlight the best practices of the top-ranking countries in the field of industrial innovations and priority directions for improving traditional management techniques and methods, to identify relevant strategizing tools for the integration of domestic enterprises into the international business environment.
Application of the Apriori Algorithm to Purchase Patterns
Authors: Fey Ferry Putrawansyah
Published: July 2023

The purpose of this research is to produce an Apriori Algorithm application system to increase sales turnover at Viona stores. The problem faced by the Viona store is that the Viona store has decreased turnover in the midst of business competition because it has not been able to optimally analyze the products that are often purchased and the combination of purchases by consumers so that sales seem monotonous and do not have a business strategy to attract customers. sales that can attract consumers. One way is to make sales with sales packages at lower prices. It must have a good pattern and analysis to be able to combine products into a sales package. However, with the limited ability of Information Technology, in this study a sales application was built that applies the a priori algorithm. This a priori algorithm is very effective in finding the relationship pattern of one or more itemsets in a large data set so that it is effective in calculating a sales transaction data and finding patterns of combinations of consumer habits and being able to quickly create product sales packages. increase sales turnover. The results of the process of applying the a priori algorithm to sales data at the Viona Store through the RapidMiner application are the same as the results applied to the system built and using sales transaction data for the month of May 2022 using a minimum support of 30% and minimum confidence of 30%. So from this study, information was obtained that the items that were often purchased together during this May period were lighters and cigarettes with 100% Confidence. And for the month of June Viona Stores can recommend packages in their store by looking at the results of a combination of 3 items, which are later expected to increase sales turnover at Viona Stores.
Sistem Pendukung Keputusan Kelayakan Sertifikasi Guru Menggunakan Metode Multi Attribute Utility Theory (MAUT) Pada SMAN 2 Mandau
Authors: Harianto Helfin , Agustin  , Junadhi  , Tashid
Published: July 2023

Pelaksanaan sertifikasi guru merupakan komitmen pemerintah untuk mengimplementasikan amanat Undang-Undang Nomor 14 tahun 2005, yakni mewujudkan guru yang berkualitas dan profesional. Hal-hal terkait dengan proses sertifikasi masih belum sepenuhnya menggunakan sistem yaitu masih dengan cara mendata guru yang layak mengikuti proses sertifikasi berdasarkan kriteria masa kerja, usia, pendidikan terakhir, tugas tambahan, prestasi mengajar, dan jumlah jam mengajar sehingga sering kali menimbulkan kesulitan ketika mengusulkan guru yang layak mengikuti proses sertifikasi dikarenakan memakan waktu yang lama saat pengurutan ranking sertifikasi. Banyak guru yang mengeluhkan proses sertifikasi yang tidak transparan, diantaranya guru yang usia muda serta masa kerja yang lebih sedikit mendapat kesempatan lebih dulu menjalani proses sertifikasi daripada guru yang sudah mempunyai pengalaman kerja yang lama dan usia tua. Sistem pendukung keputusan merupakan proses tindakan atau aksi dalam pemecahan masalah yang diyakini akan memberikan solusi terbaik untuk mencapai tujuan. Dalam Sistem Pendukung Keputusan ini digunakan metode Multi Attribute Ultility Theory (MAUT). Hasil penelitian menggunakan metode mampu memberikan rekomendasi guru yang layak mengikuti sertifikasi. Penerapan metode MAUT memberikan hasil akurasi sebesar 90%, dari hasil tersebut menunjukkan bahwa metode MAUT bisa menjadi metode alternatif untuk sistem kelayakan sertifikasi guru.
Opinion Mining menggunakan Algoritma Deep Learning untuk Menganalisis Penggunaan Aplikasi Jamsostek Mobile
Authors: Azhari Zahra , Efrizoni Lusiana , Agustin Wirta , Yanti Rini
Published: July 2023

BPJS Ketenagakerjaan berperan dalam menjaga kesejahteraan para pekerja dan buruh melalui program-program pendidikan dan pelatihan yang diberikan, pelayanan menjadi prioritas terhadap pelanggan untuk memberikan kenyamanan. Melalui aplikasi Jamsostek Mobile yang terdapat di google playstore akan diambil komentar-komentar untuk mendapatkan respon pelanggan terhadap aplikasi Jamsostek mobile untuk dilakukan opinion mining. Komentar yang diambil dari google playstore menggunakan bantuan googleplayscraper, sebanyak 3000 komentar berhasil diambil yang kemudian akan dilakukan tahap pembersihan data, pelabelan, pembobotan kata menggunakan word2vec 300 dimensi dan dilanjutkan menggunakan algoritma Long Short Term Memory. Hasil opinion mining menunjukkan dominasi sentimen negatif sebesar 80.58% dan 19.42% positif dengan tingkat akurasi terbaik yang dihasilkan oleh algoritma LSTM sebesar 87.36%. Hasil penelitian ini akan memberikan wawasan yang berguna bagi pengembang aplikasi untuk meningkatkan kualitas pelayanan dan pengalaman pengguna.
LEMMA-ROUGE: An Evaluation Metric for Arabic Abstractive Text Summarization
Authors: Al-Numai Amal , Azmi Aqil
Published: July 2023

High morphological languages are characterized by complex inflections and derivations, which can present challenges for natural language processing tasks such as summarization. Abstractive text summarization aims to generate a summary by understanding the meaning of the text, rather than solely relying on the words used in the original source. However, few works address the  generation of abstractive summaries due to its complexity. One of the challenges is the absence of a reliable metric to evaluate the performance of abstractive summaries. This paper proposes a lemma-based ROUGE metric and investigates the effectiveness of normalization forms in the similarity matching of the ROUGE metric for evaluating abstractive text summarization systems. We use Arabic as a case study and compare results involving different forms of the word: as is, stem-based, and lemma-based. The results show that the lemma-based form achieves higher ROUGE scores than the other forms. The findings emphasize the impact of morphological complexity on the performance of abstractive text summarization systems.
Implementasi Quizizz untuk Meningkatkan Hasil Belajar Mata Pelajaran Informatika pada Siswa SMA
Authors: Devi Arrum Laksita , Thamrin Husni
Published: July 2023

Media pembelajaran Quizizz menyajikan materi pembelajaran dengan slide dan warna yang menarik sehingga membuat siswa lebih aktif dan kompetitif. Namun kenyataannya media belajar seperti Quizizz masih jarang digunakan. Hal ini menyebabkan siswa kesulitan dalam menghadapi soal latihan, serta masih banyak siswa dengan nilai dibawah KKM. Tujuan penelitian adalah untuk mengetahui apakah Quizizz berpengaruh terhadap hasil belajar Informatika pada siswa kelas X. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif. Sampel penelitian berjumlah 60, 30 siswa dari kelas X.3 (kelas eksperimen) dan 30 siswa dari kelas X.2 (kelas kontrol). Pengumpulan data menggunakan  pre-test dan posttes. Hasil uji normalitas yang diperoleh adalah nilai Asymp-sig pada data kelompok kontrol 0,117 dan kelompok eksperimen 0,200 yang menunjukan nilai Asymp-sig > 0,05 (normal). Uji homogenitas melalui Lavene’s Test adalah 0,068 menunjukan bahwa nilai Sig. > 0,05. Selanjutnya berdasarkan data yang diperoleh signifikansi antara hasil belajar kelompok kontrol dan eksperimen dapat diketahui melalui tabel Independent Sample T-Test pada bagian Equal Variances Assumed menunjukan nilai 0,000 yakni nilai Sig. < 0,05 (diterima). Artinya Quizizz berpengaruh terhadap hasil belajar Informatika pada siswa kelas X.
Anti-spoofing methods in face recognition
Authors: Bezas Konstantinos , Foteini Filippidou
Published: July 2023

Biometric data are personal data that result from specialized processing techniques and are associated with physical, biological, or behavioral characteristics of a natural person that allow for or confirm their unquestionable identification. These characteristics or identifiers are permanent and unique.
This paper refers to the biometric characteristics used by systems, their mode of operation, and the categories they are distinguished in. The types of attacks that they may be subjected to are then analyzed, along with the anti-spoofing methods proposed in some studies specifically for systems that use the face as a biometric feature. Finally, numerical data is presented regarding the scientific interest that the topic of anti-spoofing methods in biometric systems has shown in the last decade.
Using Quality Measures During the Software Development Process: Case Study of Cameroonian Software Industry
Authors: Oumarou Hayatou , Moulla Donatien Koulla , Kolyang Kolyang
Published: July 2023

Many studies on software quality use a variety of techniques and tools to assess quality in IT organizations. However, it is still difficult to ensure the proper use of measures to guarantee software quality. Cameroon, like many developing countries, faces a number of challenges in its software industry including limited market size, poor infrastructure, and lack of software engineering best practices. This study evaluates the software quality measurement practices in Cameroon and identifies potential areas of improvement. This study conducted a questionnaire survey of 30 companies by identifying five main categories and nine research questions. 57% of the companies surveyed consider that the impact of the measures on the success of the project is significant, and the measurement findings are, by large, accessible to executives as well as to the staff concerned. Furthermore, the adoption of a measurement tool can improve the monitoring and management of software projects.
Feature Selection in Naïve Bayes for Predicting ICU Needs of COVID-19 Patients
Authors: Taslim Taslim Malano , Fajrizal  , Handayani Susi , Toresa Dafwen
Published: July 2023

COVID-19 is a global pandemic that requires a coordinated global response in all healthcare and national healthcare systems. Identifying patients at high risk of contracting the COVID-19 virus is crucial to increasing awareness before patients become further infected by the virus, which can cause severe respiratory illnesses requiring specialized care in intensive care units (ICUs). This study aims to predict the need for ICUs in patients infected with the COVID-19 virus. The predicted ICU requirements serve as a reference for hospitals to meet the ICU needs of COVID-19 patients. The prediction of ICU requirements for COVID-19 patients is performed using the Naïve Bayes algorithm, and particle swarm optimization (PSO) used to obtain the best accuracy values from Naïve Bayes. In the initial testing, Naïve Bayes without feature selection resulted in an accuracy rate of 74.75%. Testing Naïve Bayes+PSO by increasing the number of PSO generations shows that as the number of generations in PSO increases, the accuracy rate also increases. Testing Naïve Bayes+PSO with 3000 generations and a population size of 20 shows an increase in the accuracy rate to 80.95%. Testing Naïve Bayes+PSO by increasing the population size to 40 with 1000 generations for each population size shows an increase in the accuracy rate to 80.70%.
Digital Technology’s Implementation in Hybrid Learning at Higher Educational Level
Authors: Monica Fransisca  , Permata Saputri Renny
Published: July 2023

The majority of sectors are currently influenced by digital technology, including the education sector. Through the development of digital technology, a new learning model can be designed, namely hybrid learning. Hybrid learning can help the learning process, such as providing variations in learning, minimizing space and time limitations, and improving digital skills. Hybrid learning is a solution in higher education that has limited learning space but has facilities for implementing digital technology in hybrid learning. The research subjects were 36 students of educational informatics engineering department. The research method used was research and development, with ADDIE model (Analysis, Design, Develop, Implementation, and Evaluation). At the implementation stage, an effectiveness test was carried out to see the extent to which the application of digital technology in hybrid learning had an effect on the learning process. The research’s results were the implementation of digital hybrid learning technology which consists of combination face-to-face classes with e-learning moodle. Another result from this research was the value of effectiveness was obtained, which is 86.44% conducted from 36 subjects and was categorized as very effective for implementation in higher educational level.
Sistem Monitoring Kadar pH Kolam Udang Secara Real-Time Dengan Algoritma Regresi Linier
Authors: Fatimah Fajar Nur Aini Dwi , Ashari Wahid Miftahul
Published: July 2023

Budidaya udang merupakan salah satu komoditas utama yang sedang digencarkan oleh pemerintah. Kurangnya implementasi teknologi membuat budidaya menghasilkan hasil yang kurang maksimal. Mahalnya alat ukur dan tidak akurasinya alat ukur membuat para pengelola tambak budidaya udang tidak menerapkan teknologi pada proses budidaya. Penelitian ini nantinya akan mengembangkan sebuah algoritme yang dapat menghasilkan estimasi PH akurat dari kondisi air pada tambak udang. Sehingga dengan menggunakan alat ukur yang sederhana para pengelola tambak udang dapat menghasilkan kondisi PH yang akurat. Pengumpulan data dilakukan dengan cara mengembangkan alat ukur atau PH meter yang akan diterapkan kolam udang, proses pengukuran akan dilakukan dengan menggunakan sensor PH yang akan diproses dengan menggunakan microcontroller yaitu arduino.  Pengembangkan algoritme estimasi akan menggunakan algoritme regresi linier yang dapat menghasilkan estimasi PH akurat. Diharapkan dari algoritme yang dihasilkan dari penelitian ini dapat membantu para pengelola tambak udang untuk dapat menghasilkan hasil yang lebih maksimal karena dapat mengantisipasi kondisi-kondisi yang tidak diinginkan sejak dini.
The Effectiveness of the Guided Discovery Learning Model and Project-Based Learning in the Digital Beauty Design Course
Authors: Yanita Merita , Husni Rafikah , Jalinus Nizwardi , Ridwan
Published: July 2023

This study aims to look at the effectiveness of the Guided Discovery Learning (GDL) learning model and the Project-Based Learning (PjBL) model in terms of learning achievement, self-confidence, and students' critical thinking skills in the Digital Beauty Design course. This type of research is Quasi experiment. The subjects of this study were two classes of students from the Department of Cosmetology and Beauty Education, Padang State University who were randomly selected. Data analysis to test the effectiveness of the GDL model and PjBL model in terms of each dependent variable using the t test. While the data analysis technique to test the difference between the effectiveness of the GDL model and the PjBL model uses the MANOVA test. The results showed that, in terms of learning achievement, self-confidence, and students' critical thinking skills, it is known that the application of the GDL model in the Digital Beauty Design course is effective, the application of the PjBL Model in the Digital Beauty Design course is effective, and there is no difference in the effectiveness of the GDL model and the PjBL model. in the Digital Beauty Design course.
Geo-Informatics for the Future: A Systematic Literature Review on the Role of WebGIS in Infrastructure Planning and Development
Authors: Kurniawan Dedy , Indah Dwi Rosa , Sari Purwita , Akbari Rahmat Alif
Published: July 2023

The crucial role of geographic information in contemporary transportation infrastructure planning underscores the need for efficient and practical tools. This systematic literature review aims to provide a comprehensive overview of the current evidence concerning Web Geographic Information Systems (WebGIS) application in infrastructure planning. It further identifies potential avenues for future research.
The study leverages digital libraries to source peer-reviewed papers and published journals, evaluating the characteristics and applications of WebGIS. The review offers an in-depth analysis of WebGIS implementation, focusing on flexibility, location, utilized sectors, and environmental impacts.
The methodology involves identifying research topics, developing a search plan, and selecting relevant articles using rigorous search techniques. The selected articles undergo a thorough quality assessment before data extraction. This review seeks to answer key research questions: How does WebGIS aid infrastructure management in agricultural settings? Can WebGIS be implemented free of charge? Is it flexible and user-friendly? Can WebGIS address the issue of declining seawater quality? Has WebGIS been successfully implemented for infrastructure planning globally?
This review aims to shed light on the potential of WebGIS in shaping future infrastructure planning and to encourage further exploration in this field.
Pengembangan Sistem Manajemen Antrian Berbasis E-Kiosk Dengan Metode Service Oriented Computing Di Perguruan Tinggi
Authors: Hendri
Published: July 2023

Untuk dapat mengelola layanan antrian memerlukan pengelolaan yang  efisien dan juga efektif di perguruan tinggi. Kualitas layanan antrian  akan berpengaruh kepada experience yang dirasakan oleh mahasiswa dan akan  menjadi penentu kepuasan sehingga dapat berakibat fatal jika tidak diperbaiki dari sekarang, karena mahasiswa yang tidak puas terhadap layanan antrian kampus akan menceritakan experience yang buruk kepada teman, saudara, tetangga. Antrian pada Universitas Dinamika Bangsa saat ini masih menggunakan panggilan suara petugas sehingga seringkali kesulitan ketika antrian mahasiswa dalam jumlah banyak. Service-Oriented Computing (SOC) merupakan arsitektur perangkat lunak yang memungkinkan pembangunan aplikasi skalabel, fleksibel, dan dapat digunakan kembali dengan memecahkannya menjadi layanan kecil, independen, dan mandiri yang saling berkomunikasi melalui jaringan. Tujuan sistem manajemen antrian dengan E-kiosk ini adalah menyediakan layanan informasi dan transaksi secara elektronik melalui terminal interaktif yang terkoneksi dengan jaringan internet.  E-kiosk dapat digunakan untuk memfasilitasi aktivitas akademis seperti pendaftaran, pembayaran uang kuliah, dan masalah antrian.
Enhancing Water Potability Assessment Using Hybrid Fuzzy-Naïve Bayes
Authors: Azmi Fadhillah , Gibran M Khalil , Ridwan Achmad
Published: July 2023

In an effort to ensure a safe and high-quality water supply, the assessment of water potability is of paramount importance. An accurate and efficient assessment of water potability can be a challenge due to various influencing factors. Therefore, an innovative and integrated approach is needed to improve the assessment of water potability. In this study, we introduce a new approach to improving the assessment of water potability. This approach aims to overcome the shortcomings of traditional methods by using a hybrid fuzzy-Naïve Bayes approach to obtain a more accurate level of water potability. Fuzzy techniques are used to overcome uncertainty and ambiguity in the initial data. This method describes the probability weights in a fuzzy manner for various parameters. Then, the Naïve Bayes method is used to classify water samples based on the probability generated by the fuzzy system. This hybrid approach makes it possible to consider the relationship between parameters and generate more realistic probability values. This study uses datasets collected from various sources that include water potability parameters. A hybrid fuzzy-Naïve Bayes approach was then applied to this data set to make a more effective and accurate assessment of water potability. The experimental results show that the proposed method obtains an accuracy of 90%, which significantly improves the water potability assessment compared to the conventional method, which results in an accuracy of 84%. By combining fuzzy and Naïve Bayes techniques, we can overcome uncertainty in data and produce more accurate judgments.
Probability Prediction for Graduate Admission Using CNN-LSTM Hybrid Algorithm
Authors: Zuhri Burhanudin , Harani Nisa Hanum , Prianto Cahyo
Published: July 2023

Currently, the prediction of student admissions still uses conventional machine learning algorithms where there is no algorithm for optimization. This study aims to produce a model that can predict student acceptance of ownership more optimally by using an optimization hybrid learning algorithm, namely the Convolutional Neural Network Long Short Term Memory (CNN-LSTM). This study uses the Microsoft Team Data Science Process method which consists of business understanding, data acquisition & understanding, modeling, and implementation as well as using the acceptance dataset obtained from the kaggle.com website as much as 500 data. The results showed that the CNN-LSTM hybrid learning model could optimize the prediction of students' chances of success in exposure as evidenced by the evaluation results of RMSE of 6.31%, MAE of 4.4%, and R2 of 80.52%. This model is implemented in a website application using the Python language, the Django framework, and the MySQL database.
Social Media-Based Sentiment Analysis: Electric Vehicle Usage in Indonesia
Authors: Salsabila Helmi , Habibi Roni , Harani Nisa Hanum
Published: July 2023

This research analyzes the sentiment regarding the use of electric vehicles in Indonesia through social media, utilizing over 10,000 data points from Twitter. The results indicate a variation of positive, negative, and neutral sentiments towards electric vehicles on social media. Female users play a significant role in expressing their views and actively participating in discussions related to electric vehicles. The locations with the highest user activity discussing electric vehicles are Indonesia, DKI Jakarta, Makassar, Tangerang, and Karawang. The peak activity was observed in September 2019, suggesting a significant interest in electric vehicles. The SVM algorithm achieved an accuracy of 88% for positive and neutral sentiments, but performed relatively lower for negative sentiments. This research lacks data on the gender and age of the respondents. Future studies should address these shortcomings to gain a deeper understanding of public perceptions regarding electric vehicles in Indonesia.
Hyperparameter Tuning Algoritma Supervised Learning untuk Klasifikasi Keluarga Penerima Bantuan Pangan Beras
Authors: Joshua Agung Nurcahyo  , Theopilus Bayu Sasongko
Published: July 2023

Indonesia memiliki berbagai macam program untuk menekan kemiskinan, salah satunya adalah program bantuan pangan beras. Namun, berdasarkan temuan di lapangan, program bantuan ini tidak tepat sasaran. Melalui klasifikasi supervised learning dengan hyperparameter tuning, penelitian ini bertujuan untuk mengetahui algoritma klasifikasi umum yang paling optimal dan akurat dalam menentukan keluarga penerima bantuan pangan beras. Algoritma Support Vector Machine (SVM), decision tree, naïve bayes, dan K-nearest neighbor (Knn) serta metode hyperparameter tuning grid search, random search, dan optimasi bayesian digunakan dalam penelitian. Data pada penelitian ini bersumber dari IFLS. Berdasarkan hasil analisis, penerapan hyperparameter tuning memiliki dampak yang signifikan dalam meningkatkan kinerja algoritma KNN, decision tree, dan SVM. Algoritma Knn dengan random search serta optimasi bayesian dan SVM dengan optimasi bayesian memberikan nilai akurasi yang sama, yakni sebesar 74%.Oleh karena itu, model tersebut memiliki kinerja yang setara dan sama baiknya dalam mengklasifikasikan keluarga penerima bantuan pangan beras.
Pensar (con) las imágenes. Lecturas reparativas e imágenes-palimpsesto en November (2004) de Hito Steyerl
Authors: Martínez Bonilla Mariana
Published: July 2023

Desde un punto de vista interdisciplinar, cercano a los Estudios visuales, a lo largo deeste trabajo se analiza la obra audiovisual de carácter ensayístico November (2004), de la artista, académica y ensayista alemana Hito Steyerl. Sobre todo, se enfatiza el carácter reflexivo y crítico de la misma frente a las imágenes de archivo que la conforman.Asimismo, se problematiza el papel del montaje y la interrupción como los principales mecanismos productores de sentido en November (2004). Finalmente, se concluye planteando la idea de la potencia del remontaje audiovisual como capaz de crear imágenes-palimpsesto (Demos, 2008), a través de las cuales sería posible poner en crisis la construcción de las narrativas históricas hegemónicas.
Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor
Authors: ŞAHİN ŞENER Ümmü
Published: July 2023

Breast cancer is the most common cancer in women, and non-destructive detection of the tumor is vital. The interaction of electromagnetic waves with breast tissue and the behavior of waves after interaction are used to model tumor detection mathematically. The behavior of electromagnetic waves in a medium is described using Maxwell's equations. Electromagnetic waves propagate according to the electrical properties of a medium. Since the electrical properties of tumor tissue are different from those of normal breast tissue, it is assumed that the tumor is a lossy dielectric sphere, and the breast is a lossy dielectric medium. Under this assumption, Maxwell's equations are used to calculate the scattered field from the tumor. The field scattered by the tumor is different from other tissues because their dielectric properties are different. The location and size of the tumor can be determined by utilizing the difference in scattering from the tissues. While the scattering field from the tumor in spherical geometric form is analytically calculated, it is not analytically possible to calculate the scattering field from the tumor in different geometric shapes. In addition to non-destructive detection of the tumor, an efficient numerical method, the finite difference time domain method (FDTD), is used to simulate the field distribution. After the location of the tumor is determined, the Alternating Direction Implicit (ADI) FDTD method, which gives simulation results by dividing the computation domain into smaller sub-intervals, can be used. Scattered fields are calculated analytically in the geometry where the tumor is in the form of a smooth sphere, and in more complex geometry, the field distributions are successfully obtained with the help of MATLAB using FDTD and ADI-FDTD algorithms.