bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital tax reform in Indonesia: Perspective on tax policy development
Authors: Mahpudin Endang
Published: August 2024

In Indonesia tax reform has undergone multiple revisions in recent years, all within a brief timeframe. Digital tax reform in Indonesia began with significant milestones in recent years to adapt to the digital economy’s challenges. The specific start date for digital tax reform in Indonesia can be traced back to the passing of the Tax Regulations Harmonization Law on 7th October 2021, which officially became Law No 7/2021 on 29th October 2021. This law marked a crucial step in Indonesia’s journey towards modernizing its tax system to address the implications of the digital economy. The provisions of this law have varying effective dates, such as for income tax purposes from the 2022 fiscal year and for VAT purposes from 1st April 2022. These changes under the Tax Regulations Harmonization Law are extensive and wide-reaching, signifying a pivotal moment in Indonesia’s digital tax reform efforts. This shows that the Indonesian government intends to radically overhaul the tax system, yet there are inconsistent approaches to deciding on the long-term course of tax policy. It is critical to investigate the concept of tax legislation in Indonesia in order to provide legal clarity on digital tax reform. Normative juridical research methodology is employed, together with a qualitative research strategy and descriptive-analytical research specifications. The findings suggest that the Indonesian government’s efforts to establish strict policies governing taxes on digital activity are inadequate and uneven. In order to apply to digital platform enterprises, the definition of permanent establishment as outlined in a number of national regulations must incorporate a substantial economic presence criterion. Legislative progress toward the establishment of a framework for digital tax collection is necessary to mitigate the possible income loss of states in this area, which could result from the rapid advancement of information technology. The OECD consensus is still in the process of drafting an international tax reform that will require adjustments from national tax reform. Therefore, it is imperative that the Indonesian government establish a thorough framework for tax regulation that can ensure robustness, economic efficiency, fairness, against motivation compatibility, administrative ease, and avoidance.
Kompország vagy hídország? : Globális hatások, magyar állami szuverenitás, egységes magyar nemzet, etnikai identitás
Authors: Jenei György
Published: August 2024

A tanulmány a kompország-hídország alternatívát elemzi a jelenlegi magyar helyzetben. Az elemzés során magyar történelmi esetpéldákat és történeti folyamatokat is áttekint. Egy európai történeti analógiából is következtetéseket von le a jelenlegi európai helyzet sajátosságaira, veszélyeire vonatkozóan. A tanulmány álláspontja szerint a nemzetközi erőviszonyok globális méretű átrendeződésének időszakában, amely bizonytalanságokkal, hirtelen változásokkal jár együtt a kompország alternatíva irreális, mert a komp kikötése alkalmazkodás- és cselekvés képtelenséget eredményezne. A hídország alternatíva tenné csak lehetővé a magyar érdekek érvényesítését. Ennek követelményei az állam szuverenitás, az etnikai identitás erőssége és a nemzetépítés A követelmények érvényesítése feltételezi a belső összefogást, a keresztény kultúrát és a nyitottságot minden irányba. Ez az alternatíva a reális lehetőség, ha az ország a követelmények érvényesüléséről folyamatosan gondoskodik. A magyar történeti áttekintés kiemeli a nyelv szerepét az etnikai identitásban és a kereszténység szerepét a magyar szuverén állam létrejöttében. A tanulmány jelentősnek tekinti a belső összefogás meglétének, illetve hiányának hatását és a külső hatalmak magyar állami szuverenitást veszélyeztető -szélsőséges esetben megsemmisítő- törekvéseit.
Az okos fenntartható város fogalma a hazai tervezési gyakorlatban
Authors: Buskó Tibor László
Published: August 2024

Magyarországon a fenntartható város fogalma 2021-ben került be a fejlesztéspolitikai diskurzus főáramába. A 256/2021 (V. 18.) Korm. rendelet a legjelentősebb magyar városok számára fenntartható városfejlesztési stratégiák elkészítését írta elő. A tanulmány a diskurzuselemzés módszertani eszközét felhasználva arra keresi a választ, hogy az EU által inspirált okos fenntartható város koncepció hogyan tükröződik a magyarországi városfejlesztés helyi (önkormányzati) szintjén. Az empirikus vizsgálat fő forrásául szolgáló fenntartható városfejlesztési stratégiák elemzése azt mutatja, hogy ezeket inkább a tagállami szinten megfogalmazott, technológiaközpontú okos város koncepcióhoz való alkalmazkodás jellemzi, de a fogalom uniós és tagállami szintű meghatározásában rejlő bizonytalanságok elvileg elegendő mozgásteret biztosíthatnak ahhoz, hogy a helyi szint menedzsmentközpontú értelmezései is a diskurzus aktív összetevőjévé váljanak.
Economic Policy Objectives of the First Orbán Government (1998–2002)
Authors: Domonkos Endre
Published: August 2024

The right-wing coalition government, which came to power in May 1998, led by Viktor Orbán, broke with the former applied neoliberal paradigm and began to pursue economic patriotism, which placed emphasis on assisting the activities of Hungarian SMEs. It also focused on boosting domestic consumption by supporting families to have children through state incentives. Thanks to these measures introduced between 1998 and 2002, both the government deficit and gross government debt started to fall substantially, which reduced the external vulnerability of the Hungarian economy. The objective of this paper is to analyse the economic policy objectives of the first Orbán government between 1998 and 2002. Emphasis will be placed on evaluating the key macroeconomic indicators of Hungary while taking into account both internal and external factors. Due to length constraints, the essay will not highlight domestic politics, but it gives an overview of the main features of economic patriotism from a European perspective.
Az FVS, mint stratégiai dokumentum hasznosíthatósága: a Fenntartható Városfejlesztési Stratégia alkalmazhatóságának kritikai vizsgálata
Authors: Simon Róbert Balázs
Published: August 2024

A kormányzás a fenntartható városfejlesztés egyik kulcsfontosságú szempontja, mivel a jó kormányzási intézkedések hozzájárulhatnak az átláthatóbb, inkluzívabb, érzékenyebb és hatékonyabb döntéshozatalhoz. Az FVS stratégiák alkalmazása szorosan kapcsolódik a városirányításhoz. A szakpolitikai irányok közötti koordináció különösen fontos, mivel a közigazgatási (helyi) határok gyakran túlhaladottá válnak a városok, városi terek gyakorlati igényei által. A vizsgálandó kérdés abban rejlik, hogy mennyire tekinthető valóban eredeti célját betöltöttnek ezen stratégiák megléte és hogy vajon az FVSek alapját jelentő mérföldkövek mindegyike teret nyer-e jelen stratégiák gyakorlati alkalmazhatósága során.
PREVALENCE OF LYMPHEDEMA USING LARGE DATA SETS; AN EPIDEMIOLOGICAL ANALYSIS IN THE UNITED STATES AND IN ITALY
Authors: Grigorean A. , Voci D. , Farmakis I.T. , Hobohm L. , Keller K. , Kucher N. , Luchsinger I. , Micieli E. , Schievano E. , Barco S. , Fedeli U.
Published: August 2024

There is a lack of large epidemiological studies focusing on the prevalence of lymphedema. Vital registration data from the United States (US) (1999-2020) and Veneto, Italy (2008-2021) were analyzed. Lymphedema-related deaths were identified using disease-specific ICD-10 codes and served to estimate the burden of disease in the general population. We studied (i) the lymphedema-specific proportionate mortality as a proxy of the disease-specific prevalence, (ii) the prevalence of lymphedema in key patient subgroups, and (iii) age and sex-specific mortality rates. The prevalence of lymphedema increased over the last two decades with marked sex-specific differences: in the US, the estimated prevalence of lymphedema was 2.7 per 10,000 deaths for women and 1.5 per 10,000 deaths for men. In Veneto, the prevalence was 3.0 per 10,000 deaths for women and 1.1 per 10,000 deaths for men. The prevalence of lymphedema was 2- to 20-times in specific subgroups of patients, including those with obesity, skin infections, hypertension, diabetes mellitus, breast/gynecological cancers, and venous thromboembolism. The estimated prevalence of lymphedema is 2- to 3- times higher than previously thought and has been increasing for the past two decades. These results will serve as a reference for future research in this field.
Application and optimization of deep learning in the credit score of auto finance
Authors: Wang Zhan
Published: August 2024

In this paper, a credit scoring integration model incorporating BRNN is used to study the credit scoring problem in automobile finance. Aiming at the problems of existing credit scoring models constructed with shallow architecture and the unidirectional limitation of RNN itself, this paper introduces a BRNN model that superimposes RNN models in two directions. The potential relationship between each credit feature is mined through logistic regression, extreme gradient boosting tree, and bidirectional recurrent neural network algorithms, and the final prediction output is linked to the customer’s overall credit to improve the prediction accuracy. In this paper, we study the application of a credit scoring model based on the improved BRNN model for an auto finance company. Data preprocessing techniques and feature screening methods are used to improve the BRNN model and construct the credit scoring model for auto finance at Company A. The BRNN model is the basis for Company A’s credit scoring model. Based on the comparison with other models, it is concluded that the automobile finance credit scoring IBRNN model constructed based on the improved BRNN model in this paper has an accuracy of 89.6% in classifying the user finance data of Company A on different datasets, which is a significant improvement compared with the other five models.
Optimization Path of Innovation and Entrepreneurship Ability of College Students in the Context of High-Quality Development
Authors: Zhang Shumin
Published: August 2024

Studying the influencing factors of college students’ innovation and entrepreneurship ability is crucial to optimizing the innovation and entrepreneurship of college students in the context of high-quality development. Based on this, this paper constructs an SEM structural equation model and improves the convergence of the PLS algorithm using the least squares solution and optimal iteration initial value for the PLS algorithm in the SEM model. Then, the correlation analysis is done between six influencing factors, such as national policy, birthplace, and entrepreneurial activities, and college students’ innovation and entrepreneurship ability, and finally, the hypothesis of the influence of innovation and entrepreneurship ability is verified by the SEM model test. The main results are as follows: this paper constructed a model of influence factors on college students’ innovation and entrepreneurship ability, with five levels and 18 factors, and ranked their importance. The SEM model’s fit coefficient of 0.927>0.9 is a sign of a high degree of fit in the structural equation model. The regression coefficients of the five dimensions calculated according to the SEM model are 0.781, 0.939, 0.243, 0.935, and 0.839. All five dimensions have a significant positive impact on innovation and entrepreneurship. This paper finds that there is a positive correlation between college students’ innovation and entrepreneurship ability and national innovation and entrepreneurship policy, place of origin, entrepreneurial activities, education, and internship experience, and constructs the optimization path of college students’ innovation and entrepreneurship ability.
Exploring the Key Issues and Practical Paths of Modernizing the Governance of Vocational Education for Deep Learning
Authors: Lin Sike , Chen Jinwei
Published: August 2024

Deep learning algorithms are widely used in various fields due to the increasing popularity of education modernization, and the Ministry of Education has expressed a requirement to apply these algorithms to the governance of education in vocational schools in order to strengthen their teaching management. This paper constructs a student portrait model based on an improved K-means algorithm to monitor and analyze students’ daily behaviors. Firstly, we collect and integrate data from various sources. The dataset was preprocessed using data preprocessing methods, including data cleaning, data transformation, and data normalization. The Canopy algorithm was used to determine the number of clusters, and the number of clusters and cluster centers obtained by the Canopy algorithm were used as input parameters for the K-mean algorithm. The Maximum Minimum Distance algorithm was used to select sample points as far as possible for the K-means algorithm. Finally, we verify the effectiveness of the improved clustering algorithm and analyze the two dimensions of students using it. The findings show that students of type I in the learning behavior-oriented clustering visited the library an average of 22.54 times a month. There are a small number of students who spend more time online, averaging 48.45 hours per month. The majority of students’ categorical data and real-life learning behaviors coincide. This provides a basis for vocational school educators to optimize decision-making and teaching methods, indicating that the model in this paper is applicable to modern vocational education governance.
Research on Information Modeling Technology of Assembly Building for Future Trends
Authors: Xu Lili , Wang Lin
Published: August 2024

In recent years, the informatization technology of BIM and digital twin has been applied to the field of assembled buildings, especially the advantages of BIM technology applied in the construction industry are gradually emerging. Therefore, this paper takes assembly building as the object and cost control as the purpose of conducting research. Firstly, it introduces the application of BIM technology in assembly building, and secondly, the collision process in BIM technology is optimized by the MLS-MPM algorithm. Economic benefit analysis is carried out on the informative modeling of BIM technology in assembly building, and finally, the constructed model is applied to the basement design stage, the construction production and transportation stage, and the construction stage to evaluate its project benefits. The results show that on the basis of Revit software modeling, the Revit model was imported into Navisworks, and a total of 619 collision points were found in the basement. It is found that the collision results of pipe diameters below DN50 have little impact on the actual construction; pipe diameters above DN50 have a great impact on the elevation in the actual construction, which requires collision detection and drawing modification. The analysis of the economic benefits of information technology modeling in assembly buildings found that it can create benefits of up to 50,200 yuan during the design phase. The build production and transportation phase results in the creation of 58,800,000yuan in benefits. Optimizing schedule and cost control leads to 36,000 yuan and 13,500yuan benefits in the construction phase, respectively. This study is very important to provide a reference for the application of information technology in assembly buildings for future trends.
A Study on Semantic Classification of Guangxi Ethnic Folk Dance Movements Incorporating Deep Learning
Authors: Zhang Zhengwu
Published: August 2024

In recent years, the development of Guangxi’s national folk dance has been on the rise and has gained much attention. The research of Guangxi’s national folk dance is currently in a booming period. The research is based on deep learning theory, using stack denoising autoencoder and convolutional depth Boltzmann mechanism to build a SdAE-CDBM model for dance movement classification. The dance movements are recognized and detected by using feature mining and extraction of dance movements in Guangxi folk dance videos. The SdAE-CDBM model of this paper is compared with other classification models in terms of semantic classification accuracy of dance movements to explore the classification performance of the SdAE-CDBM model proposed in this paper. The average F1 values of the SdAE-CDBM model in the classification of the seven types of dance movements are 86.77%, 88.54%, and 90.18%, respectively, which are the maximum values among the movement classification models. The SdAE-CDBM model was able to achieve the highest classification accuracy and the fastest classification convergence speed among all classification models. When it comes to classifying dance movements semantically, the SdAE-CDBM model achieves a classification accuracy of 70.28%, which is significantly superior to other classification models. The SdAE-CDBM model in this paper is highly effective in the semantic classification of dance movements, as evidenced by this.
Research on Fine Cost Control of Civil Engineering Works Supported by Building Information Modeling
Authors: Zhan Xiaoping
Published: August 2024

The problems of cost control in the development process of the construction industry are endless, and cost control, as a core task in the process of project management, has a decisive role in the realization of project economic benefits. This paper combines the DEMATEL method and WBS work breakdown structure to screen and decompose the factors affecting cost under the cost control theory. Then, BIM5D technology is introduced to construct a refined cost control model based on the combination of the earned value method and BIM technology, in which the BIM-5D model can become its grassroots database and combined with the earned value method to provide the basic data for cost monitoring, cost early warning, cost correction and cost prediction, to realize an effective and refined control of costs. The case study shows that enterprise infrastructure, human resource management, internal logistics, procurement and bidding, cooperative and competitive relationships, technology development, project construction, completion and acceptance, and subsequent maintenance services all affect civil engineering costs. The control method can effectively control the construction progress and cost status, can play a good effect on the schedule-cost synergistic control, and provide support for the project management decisions of the constructor in the construction stage.
Demonstration Application of Adaptive Intelligent Monitoring and Analyzing System for Distribution Networks Based on Distribution OCS System and Multiple Data Fusion
Authors: Huang Yusong , Zhou Zhongqiang , Ma Jianwei , Liang Ling , Wan Huijiang
Published: August 2024

Electricity is a matter of national livelihood, and monitoring the operation status of the distribution network is an effective means to improve the quality of electricity service. In this paper, we design a distribution network intelligent monitoring and analysis system based on the distribution network OCS system, so as to realize real-time monitoring of the operation status of the distribution network. The system processes the collected three-phase current, three-phase voltage, and other multivariate data through the multivariate data fusion processing technology and adopts the adaptive weighted fusion algorithm based on the t-test criterion to eliminate the coarse error values and enhance the data fusion effect. The software and hardware facilities of the distribution network intelligent monitoring and analyzing system are designed with the distribution network OCS system as the core, and the functional modules such as power data calculation, reactive power compensation, and intelligent protection are designed according to the requirements of practical applications. In practical application, the intelligent monitoring and analysis system for distribution networks described in this paper can successfully monitor electricity load, reactive power compensation, and other conditions in the townships in area A. The system can be successfully used to monitor the electricity load and reactive power compensation of the townships in area A. After the application of the system, it accurately determined 10 faults, promptly located the fault points, and isolated the faults automatically. The cost saving of only part of the project after the use of the system amounted to RMB 912,100, and at the same time, it greatly improved the satisfaction level of the users in the distribution network.
Research on Building a New Mode of Civic and Political Education by Image Recognition Technology for Popularizing Socialist Core Values
Authors: Liu Bin
Published: August 2024

Given the current state of ideological education in colleges and universities, we propose leveraging image recognition technology to foster innovation and digital advancement in this mode of education. The weighted average method is used to greyscale the video images of students’ classrooms, and after binarizing the images using the OTSU algorithm, interference factors are avoided by denoising and angle correction. We combine the motion history image (MHI) and HOG features to create a new feature that depicts Civics classroom behavior. The SVM classifier then performs the classification of classroom behavior, ultimately constructing the Civics classroom behavior recognition model based on HOC+MHII+SVM. This paper’s model and research data are combined to conduct an example analysis of Civics education in colleges and universities. It can be concluded from the analysis that, in the case of simultaneously adopting SVM for recognition and classification, it is found that HOC+MHI feature fusion has a more significant effect on classroom behavior recognition than FPN+Multi-layer CBAM, and the difference of its various indexes is maintained within the range of 0.01~0.08. In addition, the experimental group has a significant difference relationship in the four dimensions of demonstrating the concept of honor and shame, the concept of national development, the value of development, and the value of society, P<0.05. This study provides theoretical references for research on the innovation of the ideological and political education model and is conducive to the promotion of cultivating the formation of students’ socialist core values.
Optimized Proportioning Model and Efficacy Analysis of High Performance Concrete in Bridge Construction
Authors: Feng Chao
Published: August 2024

As an important part of the raw materials for building construction, high performance concrete is well known for its many properties. This paper analyzes the prerequisites for high-performance concrete proportioning from the technical point of view and processes involved in designing high-performance concrete proportioning. A particle swarm algorithm combined with a neural network is used to establish the relationship model between concrete strength and proportion, and the constructed PSO-BP model is used for the prediction of concrete mixing ratio strength to get the best material proportion. The prediction ability of the BP neural network model, GP model, and PSO-BP model is compared. In order to test the applicability and reliability of the high-performance concrete formulated by the PSO-BP model in members, static load tests were carried out in this paper on a 20m test single girder to test the strain and deflection of concrete in the control section. The results show that the relative error of the high-performance concrete strength predictions predicted by the PSO-BP model is within 2%. It shows that the optimum high-performance concrete can be formulated using the PSO-BP model. The test beams can meet design and practical engineering requirements in terms of strength and stiffness and can be applied to real bridges. Based on the research and analysis, suggestions have been made for the application of high-performance concrete in bridge construction from four aspects.
A Study of Accounting Teaching Feature Selection and Importance Assessment Based on Random Forest Algorithm
Authors: Hu Jing
Published: August 2024

With the steady progress of China’s education information technology, learners generate massive learning behavior data during classroom interactions, and behind these data lie learners’ implicit behavioral characteristics. In this paper, we use accounting teaching as an example to deeply mine learners’ behavioral data, from which we extract behavioral features related to learning effects to create an experimental dataset. The Random Forest Important Feature Selection Algorithm uses the Gini index to filter out the learning behavior categories with higher importance among the learning behavior feature items. We extensively mine the learning behavior data to construct learning effect prediction models, establish feedback mechanisms, and intervene in the learning process in real time. The learning effect prediction model, which utilizes the Random Forest important feature selection algorithm, increases model prediction accuracy to 85.35% after cross-validation, as shown in the results. The increased accuracy allows for more accurate prediction of students’ learning effects in future periods, effective identification of student problems, and provision of targeted guidance to different student categories. At the same time, teachers can understand students’ learning status in various classes, make timely adjustments to accounting teaching content, and improve the teaching process. Ultimately, accurate education achieves the goal of teaching students according to their abilities.
Assessment of the Contribution of Local Specialized Sports Activities to Tourism Attractiveness
Authors: Wang Xiaodiao , Chen Jingguo
Published: August 2024

Sports activities with local characteristics are increasingly becoming tourism hotspots to attract tourists, and analyzing their contribution to tourism attraction can help local governments adjust tourism policies and enhance the attractiveness of attractions. To this end, this paper analyzes the significance of combining characteristic sports activities with tourism, extracts public factors using factor analysis, and constructs a tourism attractiveness evaluation index system. On this basis, the importance of local sports activities was analyzed using IPA analysis. The results show that the importance score of cultural and sports activities reaches a high 4.12, and among the three-level indexes under it, local characteristic sports activities have the greatest contribution to tourism attraction, with an importance score of 4.265. This shows that local sports activities have an important contribution to tourism attraction, and they should be given attention.
A Study on Utility Analysis and Risk Prediction of Economic Management of Property Enterprises in Digital Economy
Authors: Wang Yuanping , Dong Yanyan , Wu Hongmei
Published: August 2024

In the era of the digital economy, there is a widespread trend for property enterprise economic management to undergo digital transformation. The article examines how the digital economy propels the economic management of property enterprises, scrutinizing its risk components and the digital ecological model of management services. The evaluation index system for the digital economy and the economic management level of property enterprises has been designed, and its comprehensive score is solved using the entropy weight method. Based on the comprehensive score, a spatial Durbin model was established, and spatial autocorrelation tests and econometric regression analyses were performed. Additionally, the risk prediction model for the economic management of property enterprises was established using BP neural networks and risk evaluation indexes. The global Moran’s mean values for the economic management of property enterprises in the digital economy were 0.267 and 0.081, respectively, and both passed the 1% significance test. The development level of the digital economy significantly promotes the economic management of property enterprises at the 1% level, as indicated by the influence coefficients obtained from the neighbor weight matrix, geographic weight matrix, and economic distance weight matrix, which are 2.236, 2.132, and 2.078, respectively. The BP neural network predicts economic management risk for property enterprises with an accuracy of 91.95%. Relying on digital economy-related technology can effectively promote the improvement of the economic management level of property enterprises and can also effectively enable risk prediction in economic management.
A Study on the Performance of Image Recognition Technology in Web GIS for Land Use Change Monitoring
Authors: Wei Rongnuan , Wei Mulan , Zhang Yongxia , Huang Xiaohua , Liao Cuihuan
Published: August 2024

In order to monitor land use change more accurately and rationally manage and utilize land resources, a GIS-based land use change monitoring method is proposed. Based on the satellite remote sensing images provided by the data processing module, the filtering and enhancement processing of land satellite remote sensing images has been completed. The classification module processes the remote sensing images and uses the multi-scale land use multi-categorization network to extract the land use classification results. Image recognition technology stratifies the scenes and images of the study area, utilizes GIS data and remote sensing images superimposed on each other, uses the internal GIS data as training samples, and transforms the various information existing in GIS to form a knowledge rate and a rule base, which is applied to the RS image classification and recognition process. The fastest rate of land use change in a city was found to be the construction land, with the highest rate of 0.1395%. The degree of utilization of arable land enters into a period of decline, and the unutilized land enters into a period of development. Through the change monitoring module, we can accurately monitor and calculate the dynamics of land use, the rate of change in the degree of utilization, and the results of the transfer matrix.
The Relationship between Cross Food Contamination and Foodborne Illness Due to Drug-resistant Bacteria
Authors:   Food Control Department, Shaltout Fahim A
Published: August 2024

food preparation and serving at home, restaurants, and other foodservice operations, Given that there are many points at which cross food contamination can occur, it’s important to learn about the different types and how we can prevent cross food contamination.
Analisa Evakuasi Penumpang KMP. Takabonerate
Authors: Umar Zulkifli , Baharuddin Baharuddin , Sitepu Andi Husni
Published: August 2024

Kapal Ferry Ro-ro merupakan jenis kapal penyeberangan yang banyak digunakan untuk transportasi antar pulau karena sangat cocok untuk angkutan kendaraan dan penumpang. Dengan semakin besar kapasitas angkut penumpang perlu diperhatikan pula prosedur jalur dan waktu evakuasi guna menghadapi keadaan darurat, hal ini sangat penting guna meminimalkan terjadinya korban jiwa. IMO telah mengeluarkan suatu regulasi untuk evakuasi dari berbagai tipe kapal dengan berbagai pendekatan analysis dimana nilai waktu evakuasi untuk jenis Ferry Ro-ro n < 60 menit.Pendekatan analysis evakuasi pada kapal Ferry untuk jalur pelayaran Bira – Pamatata dilakukan dalam rangka untuk mengetahui seberapa besar waktu evakuasi yang dibutuhkan dengan menggunakan metode simplified analysis serta advance analysis. Metode ini merupakan metode yang direkomendasikan IMO sebagaimana tertera dalam regulasi MSC.1/Circ.1238. Dari analisa dengan bantuan software pathfinder 2019 didapatkan hasil waktu evakuasi penumpang tercepat pada skenario satu atau semua pintu terbuka dengan waktu 29 menit pada siang hari dan 36 menit pada malam hari.
Analisis Performa Mesin Menggunakan Bahan Bakar Hybrid Hydrogen – Solar pada Mesin Diesel Ford Escort 1.8
Authors: Ranahedy Afdhalash Ramadhan M. , Sitepu Andi Husni , Baharuddin Baharuddin
Published: August 2024

Krisis energi mendorong peneliti dan akademisi untuk berinovasi menemukan sumber energi alternatif pengganti yang relativ lebih murah tanpa mencemari lingkungan disekitarnya dan menigkatkan performa mesin. Salah bahan bakar alternatif yang berhasil ditumkan adalah gas brown, diberi nama seprerti penemunya Yull Brown pada tahun 1974. Dengan memasukkan gas HHO ke dalam mesin, maka akan mempengaruhi rasio campuran bahan bakan dan udara (AFR) mesin yang kemudian mengakibatkan terjadinya perubahan pada performa mesin. Dengan menggunakan sensor flowmeter untuk mengukur jumlah gas HHO, udara, dan bahan bakar yang masuk kedalam mesin, untuk mengetahui komposis AFR diruang bakar, dan menggunakan load cell dan weight censor untuk mengukur torsi dan break horse power yang dihasilkan mesin dengan bahan bakar hybrid solar-HHO. Setelah dilakukan penelitan dengan penambahan gas HHO ke dalam mesin, gas HHO diproduksi menggunakan generator HHO yang dialiri arus bertegangan 0 A, 5 A, 10 A, 15 A, 20 A, 25 A dan 30 A dimana semakin besar arus generator maka semakin banyak gas HHO yang diproduksi yang masukkan ke dalam mesin. Maka pada putaran 1000 rpm sampai 2000 rpm mesin, menghasilkan maka nilai fuel consumption semakin menurun dengan semakin besarnya jumlah gas HHO yang diproduksi, nilai torsi semakin besar, nilai break horse power meningkat, dan nilai specific fuel consumption mengalami penurunan, Hal ini membuktikan bahwa dengan menggunakan arus sebesar 30 pada generator gas HHO menghasilkan performa mesin yang paling maksimal selama penelitian dilihat dari peningkatkan terosi dan break horse power terbesar, serta penurunan fuel consumption dan specific fuel consumption.
The New Zealand Foreign Policy (2015-2019): Feminist Approach on Global Peacekeeping
Authors: Roagaswara Adrian , Adila Anisa Nadiya
Published: August 2024

Feminism in international relations studies has brought new perspective with its focuses on women’s empowerment and gender equality. The adoption of United Nations Security Council Resolution (UNSCR) 1325 is a starting point of the world's attention on women’s active role in conflict and peace, encouraging UN member countries to participate in promoting Women, Peace, and Security (WPS). New Zealand, as the first self-governing country in the world to allow women suffrage in parliamentary elections, has been committed to promoting the WPS agenda, both in the region and globally. According to the Global Peace Index (GPI), New Zealand became the second most peaceful country in the world in the last few years. With no recent armed conflict and any external threats, New Zealand's National Action Plan (NAP) on the WPS agenda primarily focuses on external affairs. This article seeks to provide an analysis of how feminist values influence New Zealand’s foreign policy on peacekeeping efforts and its implications on global peace. Data shows that during the NAP implementation period (2015-2019), New Zealand has continuous improvement of GPI score, which is a measure of a country's level of peace. New Zealand's efforts to maintain world peace through its aid program to conflict-affected countries also have a relatively positive effect on the level of peace in these countries, as happened in Timor Leste and Papua New Guinea.
Tendentious Actions, Racism, or Bad Prejudice?: Examining the Relations of Ethnocentrism and Xenophobia in the Contemporary South Korea
Authors: Mulyaman Darynaufal , Ismail Achmad
Published: August 2024

When the phenomenon of contemporary South Korean culture in the world goes viral, some content can be regarded as tendentious content in the receiving countries. While some of these countries have large potential markets for South Korean commodities, including contemporary culture, these seem untouched by some of the tendentious prejudices exercised by South Korean. This research will emphasize the answer to the question of South Koreans who often take tendentious actions towards other countries/cultures? This article argues that the acts of prejudice committed by South Koreans are due to the high ethnocentric attitudes of South Korean society. Even when it became controversial, in the end, South Korea did not care much about cultural sensitivity to the culture of other countries. This article uses the concept of ethnocentrism as an answer to the frequent actions of either racism or things that tend to be in South Korean society. The findings confirm that the tendentious act of South Korean society stems from their feelings of cultural superiority by looking down on other cultures since Korea was colonized and is now a country with a more developed economy.
The Global Pandemic of COVID-19 as a Non-Traditional Security Threat in Indonesia
Authors: Prayuda Rendi , Munir Fitrisia , Jayandi Riezki Adma , Sasmi Dini Tiara , Suyastri Cifebrima , Sundari Rio
Published: August 2024

The transition and development of forms of threats to the security of an international state at this time cannot always be resolved by armed forces and not only like war, this form of threat is known as non-traditional threat terms that threaten human security. The global Covid-19 pandemic not only poses a threat to aspects of national security but also has a major impact on human security. This study uses the Copenhagen perspective as the main theory in research and is supported by the concept of non-traditional security and the concept of securitization. This research method is a qualitative approach. The result shows that the global Covid-19 pandemic has provided various forms of threats to sectors on non-traditional security issues in Indonesia. The non-traditional security sectors that have received threats due to the global Covid-19 pandemic are several sectors such as Indonesian public health security, economic security, sociocultural security, etc.
Major Power in the Making: Analisis Komprehensif Status Indonesia dalam Hirarki Politik Internasional, 2014-2024
Authors: Rosyidin Mohamad , Kusumawardhana Indra
Published: August 2024

Indonesia’s status as a middle power has become a commonsense in contemporary International Relations (IR) literature. Existing scholarships on this topic rely on a behavioral approach, emphasizing foreign policy characteristics in defining Indonesia’s status. Other scholars employ a material approach, measuring Indonesia’s economic as well as military capabilities. Previous studies have tended to overlook social and psychological elements of Indonesia’s international standing. This paper argues that Indonesia’s status cannot be determined by partial perspectives. Rather, it requires a comprehensive analysis by incorporating material, behavioral, social, and psychological elements to determine Indonesia’s status at the global level. Based on a comprehensive analysis of Indonesia’s foreign policy during Joko Widodo administration (2014-2024), this paper contends that Indonesia can be classified as an intermittent major power, that is, a country that not only aspires to be a major power but also asccending the hierarchy of international politics. In other words, Indonesia is a major power in the making. This idea supports the claim that Indonesia has a great power mentality stemming from its glorious past. This explains why Indonesia’s foreign policy frequently exhibits great power aspirations.
Faktor Keberhasilan Delimitasi Batas Zona Ekonomi Eksklusif (ZEE) antara Indonesia dan Filipina
Authors: Putri Intan Fatona Maharani , Pertiwi Sukmawani Bela
Published: August 2024

This paper discusses factors underlying the success of the Exclusive Economic Zone (EEZ) boundary delimitation between Indonesia and the Philippines. This paper uses issue-level approach from the literature on territorial disputes which focus on the interaction between territoriality and visibility factors in shaping the dynamics of territorial disputes. According to this approach, disputes over territory that is not salient in terms of its tangible/intangible value but is visible to domestic audience are more likely to be settled peacefully because the government is likely to face pressure from the domestic audience to settle the dispute and the low salience of the territory increase the possibility for peaceful settlement. This paper found that this also applies in the case of Indonesia and the Philippines. The undelimited EEZ between Indonesia and the Philippines is not salient but the increase visibility of this issue contributes to the immediate completion of boundary delimitation between the two countries peacefully.
Finite Element Modeling of Contact and Impact Problems Using Python
Authors: Krauss Ryan
Published: August 2024

This paper discusses an on going project to improve the accuracy of automotive crash simulations. Two likely causes for discrepancy between simulations and the results of real, physical tests are discussed. An existing Python package for finite element analysis, SfePy, is presented along with plans to contribute additional features in support of this work, including nonlinear material modeling and contact between two bodies.
Editorial
Authors: Varoquaux Gael , Vaught Travis , Millman Jarrod
Published: August 2024

This year marked the 7th edition of the conference; however, it is the first edition for which proceedings are to be published. We are thrilled by this new development. These proceedings are the sign of a maturing community not only of developers, but also of scientific users. Python’s use as a tool for producing scientific results is, by now, well established. Its status as the subject of research and academic publication is now being recognized and we hope that the proceedings of the SciPy Conference will help communicate how scientists and engineers are using and building upon various Python tools to solve their problems.
Strengthening Indonesian Tourism Resilience Based on Tourism Operational Risk Management
Authors: Sugiarto  , Budhijono Fongnawati , Fuad Muhammad , Susanto Dwiyono Rudi , Kiswantoro Amin , Rohman Nur
Published: August 2024

Along with the rapid development of the tourism industry in Indonesia, the role of tourism risk management is becoming increasingly crucial. However, research on tourism risk management in general and tourism operational risk management in Indonesia has not been carried out much. The purpose of the study, which is also a novelty of this study, is to confirm the importance of tourism Operational Risk Management on the resilience of tourism destinations mediated by tourist satisfaction and tourist loyalty, particularly on several research objects and Indonesian tourism in general. In this article, the researcher presents a five series of studies conducted by researchers that focus on the influence of tourism operational risk management on satisfaction and loyalty. The research method used in general is the explanatory sequential design of mixed methods research. The five series of studies used in this article involve various research objects spread across several research locations to explore findings that can strengthen the validity and reliability of findings on one object in a wider area. Research samples come from domestic and foreign tourists and involve business owners, local communities, and relevant stakeholders who have met the criteria set by the researcher. These samples were generally taken using multi-stage sampling techniques. The data collection technique uses the Concurrent Triangulation Strategy regarding information convergence. The findings of five studies conducted found a positive influence of operational risk management performance on tourist satisfaction and loyalty. Value perceived by tourists represented by tourist satisfaction increases when tourist destination managers manage operational risk well. Normatively and based on the findings of previous studies, tourism resilience is built on the basis of tourist satisfaction and loyalty. Thus, strengthening operational risk management has the potential to increase Indonesian tourism's resilience.
Market-Driven Resilience in Luxury Transportation
Authors: Rahmawati Ema , Sugiarto  , Hendratono Tonny , Priyanto Sony Heru , Ihalauw John Joi
Published: August 2024

As demand for premium private transportation grows, fuelled by rising purchasing power and a preference for luxury, transportation companies are increasingly offering high-end services. This study focuses on the luxury tourism bus Omah Sultan by Juragan 99 Trans in Malang, East Java, Indonesia, and explores its market resilience. Conducted over a year, the research uses qualitative methods, including observations, interviews with three managers, and feedback from 112 users. The study examines key aspects such as service quality, facilities, safety, innovation, pricing, brand image, and uniqueness. Results indicate that users appreciate the luxurious amenities, advanced technology (including a unique self-cleaning toilet), and the high level of safety and comfort provided. The bus's competitive pricing and strong brand reputation also contribute to its popularity. Since its launch in July 2021, the rental price has increased from 9 million to 14 million rupiah per day by May 2024, yet demand remains robust, with 42 out of 112 respondents being repeat customers. This research underscores the importance of continuous innovation and high-quality service in maintaining a competitive edge in the luxury transportation market.
Produktivitas Kopi Arabika (Coffea arabica Linden.) pada Penaung Berbeda di Hutan Lindung Desa Sukalaksana Kabupaten Garut
Authors: Wilujeng Sri , Darliana Ina , Safari Syahrul
Published: August 2024

The protected forest area managed by Perum Perhutani in Sukalaksana village is dominated by pine trees (Pinus merkusii) and rasamala trees (Altingia excelsa). Coffee farmers in Sukalaksana village grow arabica coffee using an agroforestry system under pine and rasamala stands within the framework of joint forest management. So that the arabica coffee commodity can have optimal economic value, coffee farmers in Sukalaksana village need to observe the productivity of arabica coffee plants. The research location is in the protected forest area of Sukalaksana village, Talegong district, Garut Regency. The object of observation was the soil in coffee plantations, Timtim varieties of arabica coffee plants, planted using an agroforestry system with rasamala trees and pine trees as shade. Data were analyzed descriptively using an uncorrelated t-test and linear regression analysis. Descriptively, there is no difference in the fertility level of coffee planting soil on land shaded by rasamala and land shaded by pine. The productivity of coffee plants under the rasamala shade is higher than that of coffee plants under the pine shade. This is caused by significant differences in the branch-free bole height of shade trees. The rasamala shade has its first crown branch, which is higher than the pine shade.