bluuebunny/crossref_metadata_2025 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
SOUND TECHNIQUES AS THE BASIS OF EMOTIONAL EMPATHY IN D. MARDER'S FILM “THE SOUND OF METAL”
Authors:   All-Russian State University of Cinematography named after S.A. Gerasimov, Rusinova Elena A.
Published: December 2024

The article is devoted to the study of the relations between “subjective” and “objective” sound in a motion picture as an important condition for revealing the artistic image of the character and the development of the dramaturgy of the picture. The term “point of audition” is updated in the context of the concepts of “subjective camera” and “point of view” of the camera. Using the example of a sound-visual analysis of the film “The Sound of Metal” (directed by D. Marder, 2019), it is shown that the “subjective camera” in a modern motion picture assumes not only a “point of vision”, but also a “point of hearing” of the character. The sound solution in the film “The Sound of Metal” has a meaning-forming meaning and plays a decisive role in its impact on the emotional perception of the audience. In many ways, this is the result of the joint work of the director and the sound designer in the process of developing the technological and artistic-aesthetic concept of the film.
Raízes da indiferença: do colonialismo à subjetivação melancólica na sociedade neoliberal
Authors: Farias Priscila Duarte dos Reis , Oliveira Gustavo Rebelo Coelho de
Published: December 2024

Este artigo se destina a tecer análises sobre as causas da legitimação e indiferença social diante das violências de estado cometidas em desfavor de cidadãos precarizados e sobre a forma como o poder é capaz de internalizar nos sujeitos as suas normas. Para tanto, esta pesquisa inicialmente parte de uma análise histórico-estrutural da formação social brasileira, até desembocar na análise das subjetividades, em sua interseção com a trágica estrutura delineada pelo colonialismo e o atual modo de produção neoliberal. Considera-se neste trabalho como violências de estado questões latentes na realidade brasileira, como o encarceramento em massa, a seletividade penal, o genocídio da juventude negra e periférica, o silenciamento do enlutamento por suas perdas e a descartabilidade dos corpos considerados "abjetos" na sociedade brasileira, a qual é social e racialmente estratificada. Autores como Judith Butler (2015; 2019), Freud (2010), Mbembe (2021), Fanon (1968), entre outros, embasam teoricamente esta pesquisa.
O conflito e a morte como eventos políticos: as implicações da resolução 125/08 e o falecimento de Raúl Alfonsín no cenário eleitoral da cidade de Minuán, Entre Ríos (2008-2011)
Authors: Kneeteman Gastón
Published: December 2024

A bibliografia especializada situa o início da polarização na Argentina em torno dos acontecimentos que cercaram a Resolução 125/08 do Ministério da Economia e o subsequente “conflito do campo — ou da Resolução 125”. Por esse motivo, continuar as investigações sobre o evento é pertinente. O texto propõe reconstruir os efeitos “do conflito” e da morte do ex-presidente Raúl Alfonsín, nas eleições de 2009 e 2011, na localidade de Minuán e na província de Entre Ríos. Dessa forma, é possível compreender os valores e interesses que guiaram a construção de alianças eleitorais opositoras, que no contexto das direitas foram bem-sucedidas.
Uma moldura conceitual para a análise comparativa de mudanças em políticas públicas: mensuração, explanação e estratégias de desmonte em políticas públicas
Authors: Aragon Luiza , Bauer Michael W. , Knill Christoph
Published: December 2024

A análise da mudança em políticas públicas, até o momento, concentrou-se na avaliação e explanação de diferentes graus de mudança. As distinções entre radical versus incremental, ruptura de trajetória versus dependência de trajetória ou auto-reforço versus sequências reativas dominou o debate enquanto a direção precisa da mudança em políticas sociais raramente foi levada em conta. Este artigo, portanto, concentra-se em até onde uma mudança em política pública implica em uma “redução”, “decréscimo” ou “diminuição” dos seus atuais, concebendo este direcionamento de mudança como “desmonte de política pública”. Ao desenvolver ferramentas analíticas para identificar e explicar o desmonte de políticas públicas, este artigo objetiva elucidar algumas das causas, condições e estratégias de desmonte de políticas públicas e estabelecer o desmonte de políticas públicas como uma categoria distinta da mudança em política pública.
Impact of Missing Data on Data Quality in Social Research
Authors: Kostenko Yaroslav
Published: December 2024

Missing data is a common issue in quantitative social research that negatively affects the data quality. This article explores the consequences of missing data, outlining the potential issues it may pose and emphasizing the importance of properly addressing the missingness. It outlines the patterns of missing data, with a focus on the need to distinguish data that's Missing at Random and data that's Missing Not at Random, explaining how these patterns may affect the choice of handling methods. The article illustrates various approaches to managing missing data through a combination of hypothetical scenarios and case studies from actual research in order to showcase the application and effectiveness of various methods. It showcases the traditional methods of handling missing data, such as complete case analysis and simple imputation methods, and their limitations. Emphasizing the importance of advanced statistical techniques, the article advocates for the use of multiple imputation as a main method of choice when dealing with missing data. By providing a methodological comparison and a strategic framework for social scientists facing missing data challenges, this work provides a strategy to be employed by social scientists when dealing with missing data in order to ensure the proper data quality.
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.
Health Promotion Media Intervention Towards Balanced Nutrition Knowledge to Increase Immunity in Inspired Families in Uteunkot Village, Lhokseumawe City
Authors: Novalia Vera , Utariningsih Wheny , Zara Noviana , Meutia Zahra , Imanda Fetty
Published: December 2024

Nutritional problems are a health problem because the morbidity rate is very high throughout the world, including Indonesia, which has complex nutritional problems, namely stunting, wasting, and overweight. Data in Lhokseumawe City shows that the percentage of malnutrition among toddlers aged 0-59 months is 5.2%; short or very short, often known as stunting, has a percentage of 3.9%; underweight or very thin toddlers have a percentage of 3.4%. So, it is necessary to increase body immunity through health promotion media. This research aims to determine Health Promotion Media on Knowledge of Balanced Nutrition to Increase Body Immunity in Assisted Families for 150 respondents. The research method used is quasi-experimental, using a one-group pretest-posttest design. Data was collected using a questionnaire sheet. The research results showed that the characteristics of most respondents in the age group were 59 (39.3%). The research results showed an increase in knowledge to 96.7% in the excellent category after the intervention. The use of audiovisual media influences knowledge based on the Wilcoxon test with a p-value of 0.000. This research concludes that there is an influence of audiovisual media on knowledge about balanced nutrition to increase immunity in the Uteunkot village community
The Relationship Between The Use of Cotton Bud and Obturation Cerumen in Prima Indonesia University Faculty of Medicine Students, Class of 2021
Authors: Siregar Gymnastiar , Tambunan Andika Zayani , Lubis Yuliani Mardiati , Aishwara R. Naina 
Published: December 2024

The use of cotton buds is considered to be able to cause cerumen impaction in the external ear canal. However, the use of cotton buds in Indonesia is still quite high. This study aims to examines the relationship between the use of cotton buds and the incidence of cerumen obturans. This study used a cross-sectional study design involving 56 respondents who routinely use cotton buds. Based on the study, a significant relationship was obtained between the frequency and depth (p-value 0.026 and p-value 0.008) of cotton bud use and the incidence of cerumen obturans. Students who frequently use cotton buds have a 5.625 times greater risk of experiencing cerumen obturans compared to those who rarely use them. Students who use cotton buds up to the pars osseus (2/3 of the inner ear canal) have a 4.444 times greater risk of experiencing cerumen obturans compared to those who only use cotton buds up to the pars cartilaginosa (1/3 of the outer ear canal). In conclusion, health education programs regarding the use of cotton buds need to be developed to increase awareness of how to maintain safe and effective ear hygiene.
The Effect of Bidens pilosa Extract on Vancomycin-Induced Acute Kidney Injury in Prepubertal Rats
Authors: Priawan Indra , Harahap Armansyah Maulana , Siregar Sarah Rahmayani
Published: December 2024

The long-term use of Vancomycin and its administration at inappropriate doses still cause uncontrolled physiological side effects, particularly in terms of kidney development and metabolism. This study aims to investigate the effects of Bidens pilosa extract (BPE) on vancomycin-induced acute kidney injury in prepubertal rats. This study employed an experimental research method, randomly dividing 40 female Wistar rats into five equal groups: control/adult (C), prepubertal (P), prepubertal + Bidens pilosa (PB), prepubertal + vancomycin (PV), and prepubertal + vancomycin + Bidens pilosa (PVB). Gentamicin caused kidney damage in both PG and PVB groups. We treated PB and PVB with a single dose of BPE. At necropsy, we collected blood, serum, and kidney tissue for evaluation. The research results showed that the total leukocyte count was higher in PB compared to the others (P = 0.002). Serum urea, creatinine, aspartate aminotransferase, and total protein levels significantly increased in PB, PV, and PVB compared to C and P. Glutathione levels were low in the serum and kidney tissue of PV, and malondialdehyde levels were high compared to the others (P0.05). Using BPE in vancomycin-induced acute kidney injury in ovariectomized rats resulted in a decrease in serum creatinine, urea, and malondialdehyde levels in PVB compared to PV, an increase in glutathione levels, and a milder severity of histopathological findings. The conclusion of this study shows that a single dose of BPE partially reduces kidney damage in rats with gentamicin-induced acute kidney injury
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.
PEMBUATAN BIOETANOL DARI LIMBAH KULIT UBI JALAR UNGU (Ipomea Batatas L) DENGAN CARA FERMENTASI MENGGUNAKAN SACCHAROMYCES CEREVISIAE
Authors: Silitonga Hanna Amaliah , Azhari Azhari , Sylvia Novi , Hakim Lukman , Dewi Rozanna
Published: December 2024

Saat ini, kulit ubi jalar ungu hanya berfungsi sebagai bisnis sampingan dalam keluarga yang belum terbukti berhasil. Karbohidrat, yang merupakan komponen utama ubi jalar ungu, dapat diubah menjadi glukosa dan kemudian digunakan sebagai bahan baku untuk sintesis bioetanol. Alkohol murni yang berasal dari tanaman, bioetanol sering dibuat melalui fermentasi. Penelitian ini sudah pernah dilakukan sebelumnya, yang belum pernah dilakukan adalah menggunakan campuran larutan gula, pupuk NPK, dan pupuk urea untuk nutrisi Saccharomyces cerevisiae. Tujuan penelitian ini adalah untuk memastikan bagaimana volume starter dan durasi fermentasi memengaruhi produksi bioetanol. Kulit ubi jalar ungu direbus dalam penelitian ini selama 60 menit pada suhu 70°C menggunakan HCl 5%. Selanjutnya, 50 mL, 60 mL, 70 mL, dan 80 mL starter ditambahkan, diikuti dengan fermentasi selama tiga, empat, lima, dan enam hari. Kertas saring digunakan sebagai alat untuk proses penyaringan setelah fermentasi selesai. Proses distilasi memurnikan hasil. Jumlah etanol yang dihasilkan meningkat dengan waktu fermentasi yang lebih lama dan lebih banyak starter yang digunakan, menurut data. Setelah enam hari fermentasi dengan volume awal 80 mL, 48% etanol diproduksi.
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.
PENGARUH WAKTU PERENDAMAN SABUT KELAPA DALAM EKSTRAK PEWARNA ALAMI KAYU SECANG (CAESALPINA SAPPAN LINN) TERHADAP TINGKAT INTESITAS WARNA DAN KELUNTURAN WARNA PADA KAIN KATUN DENGAN FIKSATOR KAPUR TOHOR (CaO)
Authors: Alya Neng Via Nurjanahtul , Fahriani Vera Pangni , Wahyuningtyas Aulia
Published: December 2024

Kayu secang (Caesalpinia sappan linn) telah banyak digunakan untuk mewarnai kain, salah satunya kain kapas. Penelitian ini bertujuan untuk: (1) mengetahui pengaruh waktu perendaman sabut kelapa dengan kayu Secang (Caesalpinia sappan linn) terhadap intensitas warna kain kapas. (2) mengetahui pengaruh waktu perendaman sabut kelapa dengan kayu Secang (Caesalpinia sappan linn) terhadap kelunturan warna kain kapas setelah pencucian sabun. (3) menentukan pengaruh kapur tohor (CaO) sebagai fiksator terhadap tingkat intensitas warna kain (4) menentukan pengaruh kapur tohor (CaO) sebagai fiksator untuk tingkat kelunturan warna pada kain kapas setelah pencucian sabun. Hasil penelitian menunjukkan bahwa uji intensitas warna paling gelap menggunakan fiksator kapur, tanpa merendam sabut kelapa mendapat nilai %R sebesar 3,8. Nilai uji tahan luntur warna tanpa merendam sabut kelapa pada sabun cuci menghasilkan nilai rata-rata 4 yang berada dalam kategori baik. Sementara itu, dengan merendam sabut kelapa, tahan luntur warna sabun cuci menghasilkan nilai rata-rata 4 dalam kategori baik. Fiksator kapur tohor (CaO) mempengaruhi tingkat intensitas warna, di mana perlakuan dengan fiksator kapur tohor (CaO) menghasilkan warna yang lebih gelap. Untuk tahan luntur warna pada sabun cuci dengan fiksator kapur tohor (CaO) dan tanpa perlakuan fixator kapur tohor (CaO) tidak dapat berubah dan menghasilkan nilai yang sama, dimana fixator kapur tohor (CaO) dapat mempertahankan nilai tahan luntur warna pewarna alami yang telah diserap kain.
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.
LOVE AND LONGING IN PABLO NERUDA’S POETRY
Authors: Irengbam Sundari , Singh M. Rameshwor
Published: December 2024

Pablo Neruda is best known for his love poetry, which is characterized by its sensuality, intensity, and emotional depth. His love poems often use nature imagery to explore themes of passion, desire, and longing. His love poems are known for their rich and evocative use of nature imagery. Throughout his poetry, Neruda often draws upon images from the natural world to express the intensity and beauty of love. Neruda's love poetry explores the full range of human emotions, from joy and passion to heartache and longing. His work speaks to the universal experience of love and has inspired generations of readers with its beauty, honesty, and depth. Pablo Neruda's love poetry has had a significant influence on the genre both in Latin America and beyond. His innovative use of language, his focus on intimacy and sensuality, and his ability to express complex emotions in a simple, direct way have inspired countless poets over the years and ensured his place as one of the greatest love poets of all time. Neruda's love poetry is renowned for its beauty and depth and it continues to be celebrated and studied around the world. His work has influenced countless poets and writers, and his legacy as one of the greatest love poets of all time is secure.
URBANISATION AND CULTURAL CONVERSION OF THE LOIS IN MANIPURI SOCIETY
Authors: Seram Nirupama , Singh Atom Sunil
Published: December 2024

This demography study deals with spatial development and cultural change from the rural state of isolation towards integrating urbanisation by Lois people of Manipur, India. Their movement carries challenges as well as losses for cultural continuity with opportunities to be stretched culturally. As an ancient penal practice confined them to rural locales, the Lois people bear with special resilience as well as transformative capacity within their socio-cultural substrates. This research explores how urban migration has changed their traditional lifestyle and cultural identity, responding to a very important question of the case of traditional communities as the Lois negotiating and maintaining their cultural essence in the midst of relentless pressures from modernisation and urbanisation. The main aspects looked into are: how urban migration transforms the traditional socio-cultural framework of the Lois and strategies they use to maintain the cultural identity in an urban setting. This study investigates broader implications of urbanisation for indigenous cultures through comprehensive analyses of migration patterns, cultural adaptation, and dual dynamics of preservation and change.
SMALL AND MEDIUM ENTERPRISES - SCOPE OF MEDIA FINANCING IN INDIA
Authors: Oak Amit Padmakar
Published: December 2024

In the Indian context, the small and medium enterprises (SME) sector is broadly a term used for small scale industrial (SSI) units and medium-scale industrial units. Any industrial unit with a total investment in its fixed assets or leased assets or hire-purchase asset of up to Rs 10 million, can be considered as an SSI unit and any investment of up to Rs 100 million can be termed as a medium unit. An SSI unit should neither be a subsidiary of any other industrial unit nor be owned or controlled by any other industrial unit.
POLITICO-LEGAL PAGEANTRY AND LIFE IN ARAVIND ADIGA’S THE WHITE TIGER
Authors: Kumari Suman , Sood Reetika
Published: December 2024

Corruption deters growth and development and consequently aggravates poverty and inequality. The ugly face of India hidden behind decent, equitable, progressive economic power with unbiased growth, indiscriminate equity-based programs and an efficient politico-legal system has been scathingly attacked by Adiga in this novel. The poor subalterns amidst these corrupt practices become a scapegoat to the corrupts and a wave of anger remains lurking inside them. The fluttering of sufferers to make themselves free from the suffocative rooster coops intermingled with misguided intelligence and desire to hit back against the violence imposers pose a threat to the nation's integrity and age-old value system. It is a grave concern that the sufferers are too adopting the corrupt strategy of ‘survival of the fittest’ in terms of money justifying the rationality of corrupt ways of earning it.
THE THESPIAN'S VOICE: MAYA RAO AND HER ARTICULATE DISCOURSE
Authors: Vineetha Krishnan
Published: December 2024

The intersection of articulate discourse and feminist theatre in India exemplifies the power of performance as a transformative medium for social critique and cultural introspection. Rooted in classical traditions like Kathakali and enriched by Brechtian techniques, feminist theatre challenges patriarchal norms, amplifies marginalized voices, and fosters critical engagement through nuanced storytelling. Practitioners like Maya Rao blend traditional aesthetics with experimental forms, creating performances that provoke thought, inspire action, and bridge local and universal feminist concerns. Using irony, participatory methods, and meta-theatrical commentary, these works interrogate societal structures, critique gender-based violence, and envision equitable futures. The fusion of cultural resonance and innovative storytelling ensures that feminist theatre remains a dynamic space for inclusive dialogue and social change, with articulate discourse at its core driving equity, collaboration, and activism.
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.
Analisis Sistem Informasi Repositori Institusional Menggunakan Metode PIECES (studi kasus: Politeknik Kemenkes Palu)
Authors: Indah Pratiwi  , Yani Nurhadryani  , Irman Hermadi
Published: December 2024

Perkembangan teknologi informasi dan komunikasi telah berkembang secara signifikan dan dapat diterapkan di segala bidang. Di lembaga pendidikan, teknologi sangat dibutuhkan untuk pengolahan data dan sumber informasi, termasuk dokumentasi digital karya intelektual seperti karya ilmiah. Repositori merupakan salah satu cara untuk menjadi sarana penyimpanan karya – karya intelektual dari civitas akademik pada perguruan tinggi. Terintegrasi dari repositori universitas dan lembaga penelitian di Indonesia. Politeknik Kesehatan Kemenkes Palu sudah memiliki repositori, namun perlu pengaturan lebih lanjut untuk mengoptimalkan pemanfaatannya. Penelitian ini bertujuan untuk menganalisis dan mengevaluasi kondisi sistem informasi repository di Politeknik Kesehatan Kemenkes Palu yang telah beroperasi. Metode PIECES digunakan untuk analisis ini, diharapkan dapat menghasilkan proposal yang lebih baik untuk sistem informasi repositori institusional. Data dikumpulkan dengan menggunakan skala Likert yang meliputi lima jenis nilai predikat mulai dari yang paling positif hingga yang paling negatif. Selain itu, penelitian ini menggunakan diagram RACI untuk menentukan tugas dan posisi yang bertanggung jawab atas website repositori. Uji validitas dan reliabilitas dilakukan untuk memastikan keabsahan dan keandalan data yang diperoleh dari kuesioner.
EVALUASI PENERAPAN SIDALIH MENGGUNAKAN PIECES FRAMEWORK
Authors: Yulianto Yulianto , Huda Miftahul
Published: December 2024

Berbagai organisasi termasuk pemerintahan (e-government) telah menggunakan teknologi informasi untuk mendukung pelayanan kepada masyarakat. Indonesia merupakan salah satu negara demokrasi besar dan telah menerapkan e-government dalam bidang demokrasi biasa disebut e-democracy dalam bentuk aplikasi yang digunakan untuk mendukung penyelenggaraan tahapan pemilu 2024, salah satunya adalah SIDALIH. Penyusunan daftar pemilih merupakan tahapan sangat penting untuk memastikan hak kedaulatan warga negara. Penyusunan daftar pemilih memakan waktu yang panjang tetapi sampai dengan pemilu terakhir 2019 masih terdapat berbagai permasalahan antara lain pemilih belum tercatat dalam DPT, pemilih bodong, pemilih ganda, data disabilitas, dan data tidak normal. Temuan Bawaslu bahwa 1.013.366 DPT yang dinyatakan ganda terdistribusi di tujuh puluh lima kabupaten/kota. Penelitian penggunaan SIDALIH dalam pemilu 2024 menggunakan pieces framework. Variabel dalam penelitian ini yaitu performance, information and data, economics, control and security, efficiency, dan service. Populasi penelitian ini adalah seluruh pengguna SIDALIH di kabupaten Kebumen, sedangkan sampel sejumlah 320 dari jajaran penyelenggara KPU Kabupaten Kebumen. Analisis data dilakukan dengan bantuan aplikasi SmartPLS 3.0, meliputi uji outer model, inner model termasuk uji R². Hasil penelitian menunjukkan bahwa sebanyak 2 variabel yaitu performance dan efficiency tidak berpengaruh terhadap user satisfaction, dan variabel information and data, economics, control and security, service memiliki pengaruh positif dan signifikan terhadap user satisfaction. Secara bersama-sama pieces framework memiliki kontribusi sebesar 64,2% terhadap user satisfaction, sedangkan 35,2% dipengaruhi oleh variabel lain.
Perbandingan Kinerja Algoritma Random Forest, AdaBoost, dan XGBoost Dalam Memprediksi Resiko Penyakit Osteoporosis
Authors: Alfianti May Linda Tri , Supriyanto Raden
Published: December 2024

Penyakit tulang yang disebut osteoporosis ditandai oleh berkurangnya massa tulang dan meningkatnya kerapuhan, yang meningkatkan kemungkinan patah tulang terutama pada pinggul, tulang belakang dan pergelangan tangan. Penyakit ini dapat dialami oleh perempuan dan laki-laki, khususnya usia tua. Penyakit ini umumnya tidak menimbulkan gejala pada tahap awal, sehingga prediksi dini sangat penting untuk pencegahan dan penanganan. Tujuan dari penelitian ini adalah untuk membandingkan kinerja tiga algoritma pembelajaran mesin, yaitu Random Forest, AdaBoost dan XGBoost, dalam memprediksi resiko osteoporosis. Dataset yang digunakan berjumlah 1781 data dengan tiga skema pembagian data 80:20, 70:30 dan 60:40. Pada algoritma Random Forest, skema 80:20 memberikan hasil terbaik dengan akurasi 87,11%, dan presisi 89,09%. Sementara itu, algoritma AdaBoost menunjukkan performa terbaik pada skema 60:40 dengan akurasi 92,01% dan presisi 93,13%. Algoritma XGBoost menunjukkan hasil terbaik pada skema 80:20 dengan akurasi 90,20% dan presisi 90,77%. Hasil penelitian menunjukkan bahwa algoritma AdaBoost memiliki kinerja terbaik di antara ketiga algoritma yang diuji. Setelah itu mengimplementasikan model prediksi resiko osteoporosis ke dalam website, yang memungkinkan pengguna melakukan prediksi berdasarkan 14 variabel: umur, jenis kelamin, riwayat keluarga, etnis, penggunaan obat, riwayat patah tulang, perubahan hormonal, asupan vitamin D, asupan kalsium, berat badan, aktivitas fisik, konsumsi alcohol, merokok dan kondisi medis.