bluuebunny/crossref_metadata_2025_split huggingface dataset:
The New Way of Tourism in Green Economy Style for Sustainable Community Development and Empowerment
Authors: Sookhom Arpaporn , Krivart Kittachet , Jansiri Nantida , Sookhom Araya , Chanasit Jaraspol , Pathak Shubham , Mallongi Anwar 
Published: December 2024

The New way of Tourism in Green Economy Style" has been adopted in Thailand to strengthen the social development of the communities and enhance the local development to achieve a sustainable and resilient framework. This article aims to study the context, model, process, success factors, and ways to expand tourism management results of the model to the communities in Thailand. This study adopts mixed methodology research. The study area consisted of the Pak Phanang Community in Pak Phanang District, Nakhon Si Thammarat Province; the Ton Duan Community in Khuan Khanun District, Phatthalung Province; and the Khlong Dan Community in Ranod District, Songkhla Province. The sample size is 1200 respondents, inclusive of 400 respondents from each of three study area communities. The key informants consisted of a group of tourists in the model community, a group of executives/boards/vendors, and a group of academics and travel agency representatives. The study found that the context of the three communities facilitated the emergence of management of the “New Way of Tourism in Green Economy Style”. The process is divided into three steps. Firstly, Community Based (CBT) consists of Natural Resources and Culture, Community Organization, Management and Learning. Secondly, the 7 Greens consist of Green Hearts, Green Communities, Green Attractions, Green Activities, Green Logistics, Green Services, and Green Plus. Lastly, the Profit RBG-P-C Concept, which consists of Return of Profit to Community, Bring Profit to Take Care of Community, and Giving Profit Back to the Community. Factors contributing to the success of tourism management in the model communities include leadership factors, structural and workflow factors, participation factors, and other factors. The guidelines for expanding tourism management will use the model for expanding the results together with the propulsion mechanism, including building cooperation from the people, management of natural resource use and the environment, building faith for green tourism, and the distribution of profits universally and fairly. Doi: 10.28991/HIJ-2024-05-04-015 Full Text: PDF
Multi-Criteria Decision-Making Model to Achieve Sustainable Developmental Goals in Industry 4.0 for Smart City Infrastructure
Authors: Akila D. , Pal Souvik , Sarkar Bikramjit , Jayalaksshmi S. , Muthaiyah Saravanan , Anbananthen Kalaiarasi Sonai Muthu 
Published: December 2024

Due to a shortage of funding and other market challenges, Small and Medium-sized Enterprises (SMEs) face difficulties in adopting new technologies. Numerous technological obstacles negatively impact the long-term commercial achievement of SMEs. The deployment of Industry 4.0hopes to resolve these technological challenges. A sustainable city is a complex structure where economic, societal, and ecological components interact and compete. There is a scarcity of l methodologies for measuring interactions in this complex structure. Industry 4.0 aims to obtain higher performance effectiveness, profitability, and automation. The main goal is to develop a reliable method of evaluating small and medium-sized enterprises (SMEs) adopting Industry 4.0 technologies, particularly concerning smart city applications. This paper aims to determine the influence of Industry 4.0 in fostering economic efficiency and sustainability amongst these SMEs. The study introduces a multi-criteria decision-making (SC-MCDM) system designed to test an SME’s achievement of their targeted sustainable developmental goals. A technique for computing the interaction between various standards, i.e., (static interactions and dynamical pattern resemblance), as well as the weightage of variables of every indicator generated by the connection, is included within SC-MCDM. Furthermore, applying the suggested technique is validated by assessing the sustainable development goals of twelve Chinese cities within the Triple Bottom Line (TBL) paradigm. From a geographic-temporal viewpoint, spatial variations in city sustainability reveal regional sustainable inequalities. Indicator scores suggest that the most significant factors for most communities are the lack of research spending, falling financing in stationary assets, shortage of financial development, and inadequate shared transit. Furthermore, the growth of tertiary industries, improvement of energy performance, expansion of green areas, and reduction of pollution emissions are key driving forces for enhancing sustainability. Compared to other methodologies, Multi-Criteria Decision Making (MCDM) considers the interplay between conditions. This is why it is an excellent approach to assess the sustainability of any city. Our experimental findings highlight the impact of MCDM and sustainability towards achieving a city’s sustainable development goals. Compared to other methods, the SC-MCDM system is more successful rate of 89.7%, a more sustainable rate of 92.1%, a more precise ratio 93%), more accurate (95%), and a less mean absolute error, and mean squared error rate of 8.3% while trying to achieve sustainable city development goals. Doi: 10.28991/HIJ-2024-05-04-018 Full Text: PDF
Adoption of Blockchain Technology in Healthcare Supply Chain Management: A Review
Authors: Niesya Nazatul , Sayeed Md Shohel 
Published: December 2024

The healthcare supply chain encounters difficulties with transparency, efficiency, and security, which have an impact on patient safety and the quality of treatment concerning the items involved. The use of blockchain technology, which has intrinsic characteristics such as confidentiality, transparency, and traceability, offers a possible resolution to tackle these problems. This paper aims to comprehensively review the adoption of blockchain technology in healthcare supply chain management, particularly in response to the challenges posed by the COVID-19 pandemic. It investigates the significance of efficient and transparent healthcare supply chains, focusing on blockchain's application in vaccine distribution, Personal Protective Equipment (PPE), drugs, medical devices and blood products. The analysis critically evaluates research papers proposing innovative blockchain-powered solutions, discussing their benefits, challenges, and the need for further research. Findings highlight blockchain's potential in enhancing vaccine traceability, preventing counterfeit vaccines, and ensuring equitable access to immunization. It also outlines blockchain's role in real-time tracking of PPE shipments, secure distribution of medical devices, managing blood products, and combating counterfeit drugs. The paper also emphasizes the prevalence of consortium-based and public blockchain implementations and the importance of smart contracts while advocating for addressing scalability and technological challenges. This review offers a critical assessment of blockchain's potential in fortifying healthcare supply chains during crises, underscoring the need for ongoing research and development to overcome implementation limitations. Doi: 10.28991/HIJ-2024-05-04-019 Full Text: PDF
A Method for Assessing Urban Industrial Ecological Efficiency Using SBM-GML Model with Tax Reduction
Authors: Guo Yuchen , Guo Jianwei 
Published: December 2024

The industrial development of cities promotes social and economic development, but it also affects cities' ecological environments. To balance the relationship between the two, the country introduces corresponding tax reduction policies as an effective means of regulation. Therefore, to explore tax and fee reduction policies' specific impact on urban industrial ecological efficiency, the proposed text clustering model was first used in this experiment to cluster the tax and fee reduction policies issued by the government. Subsequently, the Slack-Based Measure-Global Malmquist Lunberger was constructed to measure urban industrial development's ecological efficiency. These experiments confirmed that policy text clustering models had different clustering accuracy on different datasets, with clustering accuracy reaching up to 80.95%, 87.13%, and 94.08% at iterations of 200, 500, and 1000. The regression coefficients for the main variables obtained from the clustering policy, including overall tax reduction and fee reduction, circulation tax reduction, income tax reduction, social expense reduction, and technological innovation tax reduction, were 0.117, 0.105, 0.269, 0.112, and 0.115, respectively. This indicated that these tax and fee reduction measures affected industrial ecological efficiency positively. Therefore, the proposed method can effectively cluster policy texts and measure the industrial ecological efficiency of cities, which has practical feasibility. This provides an effective path for promoting industry and the ecological environment's balanced development. Doi: 10.28991/HIJ-2024-05-04-02 Full Text: PDF
Research on Power Consumption Data Prediction of Distributed Photovoltaic Power Station
Authors: Yao Junfeng , Xiao Chun , Hao Junbo , Yang Xiaoxia 
Published: December 2024

At present, the construction of distributed photovoltaic power stations in China lacks systematic and comprehensive preliminary planning; The construction cost exceeded the estimated estimate. After the completion of the project economic benefits cannot reach the expected income, project operating costs exceed expectations and other problems. In order to solve these problems, it is urgent to reasonably forecast the electricity consumption data of distributed photovoltaic power stations. Therefore, in order to solve these problems, a reliable model is established to predict the electricity consumption data of distributed photovoltaic power stations, and the indirect prediction method is used to forecast, that is, the irradiance of medium and long-term time scales is predicted by historical meteorological data, and then the system electricity consumption data is obtained. Among them, the model used is the Long short-term memory (LSTM) neural network model. Under the effect of this model, the electricity consumption data prediction of distributed photovoltaic power stations is carried out. The result shows that the MAPE of monthly prediction is 3.5%, and the annual prediction is 1.1%, which has ideal prediction accuracy and can achieve better prediction effect. This indirect forecasting method breaks the shackles of traditional forecasting methods, avoids the problems of data collection and other aspects, and is a new development trend and the performance of scientific and technological progress, which is conducive to the development of distributed photovoltaic power stations. Doi: 10.28991/HIJ-2024-05-04-05 Full Text: PDF
Orchestration of Federated Risk for P2P Lending Platforms: A Multi-Agent Systems (MAS) Approach
Authors: Muthaiyah Saravanan , Nguyen Lan Thi Phuong , Choong Yap Voon , Zaw Thein Oak Kyaw 
Published: December 2024

Federated risk management in the context of Peer-to-Peer (P2P) lending should be a collaborative approach with multiple autonomous entities (i.e. agent systems) working together to assess, monitor, and mitigate risks. Orchestration of these agents is crucial in facilitating risk evaluation, surveillance, and mitigation tactics. By employing Multi-Agent Systems (MAS), the orchestration of risk, regulatory compliance, and stakeholders' interests are better protected. The framework of federated risk management in P2P lending aims to address challenges and risks inherent in decentralized platforms. In recent years, the P2P lending industry has experienced significant growth, attracting both borrowers and investors seeking an alternative financial system. However, this growth has exposed the industry to various risks, including credit risk, fraud, and information asymmetry. As a result, the need for a robust risk management framework has become increasingly critical. In this paper, we delve into the role of intelligent agents and their protocol for collaborative dynamics that uses the portfolio's return (Rp) and the risk-free rate (Rf), divided by the standard deviation of the portfolio's excess return (σp) for various investment portfolios. Our framework allows MAS to analyze data from diverse sources, default rates, payback history, and portfolio risks to propose adaptive strategies for risk mitigation. Doi: 10.28991/HIJ-2024-05-04-06 Full Text: PDF
Analysis of Risk Factors for Acute Myocardial Infarction
Authors: Arlindyo Muhammad Vieraldo Berly , Faizin Chamim , Noviasari Nina Anggraeni , Setiawan Muhammad Riza 
Published: December 2024

Cardiovascular disease is the most common cause of death in the world. One part of cardiovascular disease is acute myocardial infarction. There are risk factors that have the potential such as age, gender, genetics, hypertension, smoking, dyslipidemia, and diabetes mellitus. This study aims to analyse the risk factors associated with acute myocardial infarction. This study was conducted in October 2023, using an analytical observational study type and cross-sectional design. This study used medical record data from AMI patients from June 2022 - June 2023. The study sample was respondents diagnosed with acute myocardial infarction at ROEMANI Hospital taken through total sampling. Inclusion was 60 and exclusion was 14 respondents. Data analysis uses the chi-square The results showed that those who had a significant relationship with the incidence of acute myocardial infarction included hypertension (p = 0.001), diabetes mellitus (p = 0.022), smoking (p = 0.045), and those who did not dyslipidemia (p=0.639). In conclusion, there is a significant relationship between hypertension, diabetes mellitus, and the incidence of acute myocardial infarction. At the same time, dyslipidemia does not have a significant relationship with the incidence of acute myocardial infarction.
OPTIMASI ENERGI PADA PRODUKSI SYNGAS DARI R-LNG (REGASIFIED LIQUIFIED NATURAL GAS) MENGGUNAKAN ASPEN HYSYS V.10
Authors: Giffary Muhammad , ZA Nasrul , Sulhatun Sulhatun , Hakim Lukman , Muhammad Muhammad , Maulinda Leni 
Published: December 2024

Energi telah menjadi pilar yang sangat diperlukan untuk kemajuan dan perkembangan manusia sepanjang sejarah. Dari peradaban kuno hingga hari ini, kemajuan manusia secara intrinsik terkait dengan evolusi revolusi energi. Pengaruhnya meresap ke dalam setiap aspek eksistensi manusia. Ketika kita memulai era baru aplikasi energi, fokusnya bergeser ke pengembangan dan pemanfaatan sumber daya utama seperti minyak bumi, batu bara, teknologi energi baru, dan gas alam. Salah satu pemanfaatannya adalah memproduksi syngas, sekitar 6 EJ syngas diproduksi secara global setiap tahunnya, yang merupakan hampir 2% energi primer dunia saat ini. Salah satu perangkat yang dapat digunakan untuk melakukan simulasi proses dalam produksi syngas adalah software Aspen HYSYS V.10. Penelitian ini sudah pernah dilakukan dengan proses utama combined reforming menggunakan heater, yang belum pernah dilakukan adalah menggunakan heat exchanger. Produksi syngas dengan proses utama combined reforming menggunakan dua reaktor utama yaitu primary reformer dan secondary reformer guna untuk meningkatkan konversi metana menjadi hidrogen. Keluaran dari secondary reformer panasnya mencapai 962oC dan akan masuk ke hight temperature shift converter untuk mengkonversi karbon monoksida menjadi hidrogen pada suhu 366oC. Pada penelitian sebelumnya, temperatur 962oC akan turun menjadi 366oC menggunakan cooler 1, beban kerja dari cooler 1 sangat berat untuk menurukan temperatur 962oC menjadi 366oC. Sehingga, terjadi pemborosan konsumsi energi. Maka, didapatlah peluang untuk mengoptimalkan konsumsi energi yang ada dengan cara memanfaatkan panas keluaran dari secondary reformer yang panasnya sampai 962oC ini cukup tinggi untuk memanaskan MIXED FEED dan PROCESS GAS dengan menggunakan heat exchanger. Hal ini terbukti, dengan total konsumsi energi sebelum memanfaatkan panas keluaran secondary reformer sebesar 556.626.015,66 Kj/jam atau 133,56 Gcal/jam dan setelah memanfaatkan panasnya menjadi 460.267.906,06 atau 110 Gcal/jam. Maka, konsumsi energi dapat dioptimalkan menjadi 110 Gcal/jam.
PENGARUH PENGGUNAAN LARUTAN NaOH DAN CH3COOH TERHADAP KARAKTERISTIK BIOBRIKET DARI AMPAS KOPI DENGAN PROSES HYDROTHERMAL
Authors: Retwan M.Alif Alzahy , Ginting Zainuddin , Muhammad Muhammad , Bahri Syamsul , Faisal Faisal 
Published: December 2024

Hydrochar adalah padatan berkarbon yang dihasilkan dari konversi biomassa dengan menggunakan metode karbonisasi hidrotermal (HTC). Waktu tinggal dan jenis pelarut yang digunakan merupakan beberapa faktor yang mempengaruhi karakteristik hydrochar yang dihasilkan. Pada penelitian ini hydrochar dibuat dari ampas kopi dengan proses hidrotermal menggunakan alat autoclave pada suhu 130°C dan tekanan 2 bar. Proses hidrotermal dilakukan dengan pelarut NaOH dan CH3COOH serta variasi konsentrasi yaitu 0,5; 0,75 dan 1 Molar. Waktu tinggal yang digunakan divariasikan antara 60, 75, dan 90 menit. Setelah proses hidrotermal dilanjutkan dengan penyaringan hydrochar padat dan cairannya. Hydrochar kemudian dilakukan pengeringan dalam oven selama 3 jam pada suhu 105°C untuk mengurangi kandungan airnya. Parameter sampel termasuk kadar air, abu, zat mudah menguap, karbon tetap, dan kalor.Penelitian ini telah dilakukan sebelumnya dan yang membedakan penelitian ini dari yang sebelumnya yaitu jenis pelarut yang digunakan serta konsentrasi pelarut. Hasil pengujian untuk kadar air pada larutan NaOH sebesar 5,26-8,13% dan untuk pelarut CH3COOH sebesar 3,22-7,84%, untuk kadar abu pada larutan NaOH sebesar 3,38-5,65% dan untuk pelarut CH3COOH sebesar 2,54-4,83%, untuk kadar zat mudah menguap pada larutan NaOH sebesar 9,67-16,57% dan untuk pelarut CH3COOH sebesar 9,28-15,25%, dan untuk kadar karbon pada larutan NaOH sebesar 72,46-79,28% dan untuk pelarut CH3COOH sebesar 69,74-76,14%.
PENILAIAN DAMPAK LINGKUNGAN DENGAN MENGGUNAKAN LIFE CYCLE ASSESMENT (LCA) PADA INDUSTRI TAHU KAMPUNG JANGKAR KULON, CILEGON BANTEN
Authors: Kartika Wardana Safril , Cucikodana Yunita , Almaniar Siska , Dwijayanti Apriliana , Maulana Fahri , Muhlisoh Naja Asyifaul 
Published: December 2024

Tahu adalah makanan yang paling banyak diproduksi dan dikonsumsi di kalangan masyarakat Indonesia. Di balik itu, industri ini memberi efek terhadap keberlangsungan lingkungan sekitar. Oleh karena itu, diperlukan analisis siklus hidup produk atau life cycle assessment untuk mengurangi dampaknya. Penelitian menggunakan metode analisis life cycle assessment dengan software Open LCA 1.11.0 dan menggunakan pendekatan cradle-to-gate yang bertujuan khusus pada pengolahan bahan baku. Tujuan penelitian untuk mengkaji dampak lingkungan dari tahu proses produksi di Kampung Jangkar Kulon, Cilegon. Tahapan penelitian ini berdasarkan SNI ISO-14040, analisis dampak lingkungan dilakukan dengan menggunakan database agribalyse CML-IA Baseline. Hasil penelitian menunjukkan nilai dari 6 dampak lingkungan yang dihasilkan yaitu acidification (0,01228 kgSO2-eq), eutrophication, (0,01641 kgPO4-eq), Potential (GWP 100a), ozone layer depletion (ODP) (2,49525 kgCFC-11eq), fresh water aquatic ecotox (0,35351 kg1,4Dbeq) dan abiotic depletion (fossil fuels) (12,32132 MJ). Proses yang memberikan kontribusi terbesar terhadap dampak lingkungan dari pabrik tahu Jangkar Kulon, Cilegon adalah proses pembakaran bahan bakar (kayu bakar) dan pengelolaan limbah cair.
PEMANFAATAN PATI UMBI GANYONG (CANNA EDULIS KERR) UNTUK PEMBUATAN PLASTIK BIODEGRADABLE DENGAN VARIASI PENAMBAH CMC DAN ASAM ASETAT
Authors: Maliki Syariful , Meilianti Meilianti , Zhubaidah Siti 
Published: December 2024

Penelitian ini adalah mempelajari pemanfaat tanaman umbian ganyong yang bisa digunakan sebagain bahan dasar pembuatan plastic biodegradable. Ganyong merupakan tumbuh baik di kawasan tropis dan subtropics. Tanaman ganyong di ambil patinya untuk dijadikan plastic biodegradable. Pada proses pembuatan plastic biodegradable, pati yang sudah kering di campu dengan aquadest dan di tambahkan cmc (carbonyl methyl cellulose) dengan variasi 1;1,25;1,5;1,75;dan 2 gram dengan temperature proses 70oc. Setelahnya di variasikan masing-masing penambahan asam asetat 1 ml dan tanpa penambahan. Didapat hasil yang optimal adalah pada penambahan asam asetat dengan cmc sebanyak 1,5 gram. Hasil dari pengujian tarik, elongasi , ketahanan air, dan biodegradabilitasnya sni telah memenuhi standar sni 7188.7:2016
CUSTOMER SATISFACTION AND PROMOTION OF TOURISM: A STUDY OF MANIPUR STATE MUSEUM, IMPHAL
Authors: Thomas Chithung Mary , Devi Waikhom Nichinta , Devi Kshetrimayum Nevia 
Published: December 2024

Museums are an important component of tourism and they attract a large number of visitors who are curious about the nature of societies and historical past. Museum Tourism(MT) creates value for society by promoting education, recreation and cross cultural understanding among people. Manipur, in the north-east of India has a long, rich and diversified history and with its strategic location is set to become the “gateway to the east” as per the “Act-East Policy” of the Government of India. It has become pertinent to know about the region and its heritage. The Manipur State Museum, Imphal plays a major role in the preservation as well as disseminating information about the heritage of Manipur to the world as well as the younger generations. The purpose of this paper is to study the museum experiences of visitors and their level of satisfaction which in turn may affect customer loyalty and socio-economic ends.
Decision Support System for Plantation Land Suitability Assessment Using A Combination of AHP (Analytical Hierarchy Process) and Profile Matching Method
Authors: Sahputra Ilham , Fitria Rahma , Sukia Sukia 
Published: December 2024

Determining the suitability of plantation land is a crucial factor in enhancing productivity and sustainability in the agricultural sector. However, existing studies often lack comprehensive approaches that integrate both the prioritization of criteria and precise evaluation of land suitability. This study addresses this gap by developing a decision support system (DSS) for plantation land suitability using a combination of the Profile Matching and Analytic Hierarchy Process (AHP) methods. The AHP method is employed to assign weights to various criteria based on their relative importance, while the Profile Matching method evaluates land suitability based on the generated profiles. The results indicate that this integrated approach provides accurate and detailed land suitability recommendations. Specifically, Buket Rata land is suitable for Clove (preference score: 3.821), Oil Palm, and Tea (3.596); Reulet land is suitable for Cocoa (3.22) and Coconut (3.16); Geulanggang Kulam land is suitable for Clove (3.41), Cocoa (3.35), and Oil Palm (3.29); Sawang land is suitable for Clove (3.41), Oil Palm (3.17), and Cocoa (2.99); and Pesisir Laut land is suitable for Sugarcane (3.353) and Clove (3.173). This DSS not only aids decision-makers in optimizing land use and managing sustainable plantations but also contributes to the broader field of agricultural decision-making by demonstrating the effectiveness of combining AHP and Profile Matching methods.
El Concepción de Antaño, 1859-1939
Authors: Vera Correa Luciano 
Published: December 2024

El libro Concepción de Antaño, 1859-1939 analiza la historia de Concepción, Chile, entre 1859 y 1939, enfocándose en tres aspectos principales: la arquitectura y el desarrollo urbanístico, la vida social y cotidiana de sus habitantes, y el impacto de los desastres naturales, especialmente terremotos. Los autores conectan el pasado con el presente de la ciudad, mostrando cómo la Concepción de antaño, con su arquitectura neoclásica y su vida social vibrante, ha influido en la Concepción moderna. Se destaca la importancia de las colonias extranjeras y el desarrollo industrial, ofreciendo una visión integral de la evolución de la ciudad. Finalmente, el libro busca fortalecer la identidad penquista mediante una combinación de texto e imágenes.