bluuebunny/crossref_metadata_2025 huggingface dataset:
The Analysis of Organizational Changes using Structural Equation Modelling with Mediating Readiness to Change in Higher Education
Authors: Ayu Rindang , Abdullah Nurul-Azza , Wan Sulaiman Wan Shahrazad , Bin Selamat Mohd Nasir
Published: July 2024

This research study demonstrates that the readiness to change moderates the association between supervisor support and commitment to organizational change. The variable "readiness to change" fulfills this moderating function. The State University in West Sumatra, a prestigious institution of higher education in Indonesia, boasts a faculty comprising 260 committed teaching personnel. The formulation of the questionnaire was grounded upon a predetermined set of criteria. The data analysis process involved utilizing Structural Equation Modelling (SEM) and SmartPLS 3.0 software. The results obtained from using structural equation modeling (SEM) were consistent with recognized metrics such as Cronbach alpha, composite reliability, mean-variance extracted, and evaluation criteria for both measurement and structural models. Furthermore, it also showcased the soundness and reliability of the measurement instruments. The study suggests that the mediating factor of preparation for change plays a role in the association between the provision of high-quality support and the level of commitment towards organizational change. This study contributes to the field of management and organizational leadership by providing insights on how to develop robust change strategies through enhancing employees' readiness for transition. This study makes a valuable contribution to the field of change management by emphasizing the role of readiness to change as a mediating factor in the relationship between supervisor support and organizational change commitment. This research additionally aids organizations in developing grooming and training programs aimed at equipping employees with the necessary skills and knowledge to adapt to change.
Comparative Analysis of VGG-16 and ResNet-50 for Occluded Ear Recognition
Authors: Tey Hua-Chian , Chong Lee Ying , Chong Siew-Chin
Published: July 2024

Occluded ear recognition is a challenging task in biometric systems due to the presence of occlusions that can hinder accurate identification. There is still a research gap in enhancing the robustness of deep learning to handle severities of occlusions with different datasets. This research focuses on developing a robust occluded ear recognition system by implementing fine-tuning techniques on three popular pre-trained deep learning models, Residual Neural Network (ResNet-50), Visual Geometry Group (VGG-16), and EfficientNet. The system is evaluated on two manually occluded ear datasets, which are the AMI ear dataset and the IITD ear dataset. The experiment results showed the fine-tuned ResNet-50 model performs better than the fine-tuned VGG-16 model. The results indicate that the model's ability to accurately predict the classes or labels decreases as more data is occluded. Higher occlusion rates lead to a loss of important information, making it more challenging for the model to distinguish between different patterns and make accurate predictions. According to the findings, the amount of occlusion influenced the identification accuracy and worsened as the occlusion became larger. In the future, ear recognition systems will likely continue to improve in accuracy and be adopted by a wider range of organizations and industries. They may also be integrated with other biometric technologies and used for personalization purposes. However, ethical considerations related to the use of ear recognition systems will also need to be addressed.
Design of Prediction Model using Data Mining for Segmentation and Classification Customer Churn in E-Commerce Mall in Mall
Authors: Huda Ilham , Achmad Suhendra Agus , Arif Bijaksana Moch
Published: July 2024

The classification of churn is driven by the potential risks e-commerce companies face, such as losing customers who discontinue their service usage or churn. Marketing specialists have shifted their efforts from acquiring new customers to retaining existing ones in order to mitigate customer churn. Predictive models are created using data mining techniques to identify customer churn patterns. This study proposes a data mining model aimed at predicting customer behavior, with the processed results utilized as suggestions for improvements and company strategies in customer retention through segmentation and classification. Segmentation and classification involve several variables: Session, Interaction with Application, Actions taken during the interaction, purchasing, claim, and discount. This study employs a clustering technique based on the Recency, Frequency, and Monetary (RFM) model, which considers factors such as the time since the last visit, the number of visits, and the total amount spent by the customer. The classification algorithm model was evaluated by comparing three classification algorithms: decision tree and Support Vector Machine (SVM). The decision tree algorithm had the highest accuracy, achieving an impressive 87% accuracy rate in customer classification. Factors influencing customer churn include purchasing behavior, session activity, claim feature utilization, adding products to cart, and discounts. Improving stock management is crucial to prevent stock shortages, likely to cause churn. Additional measures like sending emails/notifications and offering vouchers/loyalty points can be implemented for customers who added products to their carts but didn't complete the purchase, with a focus on popular products.
Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic
Authors: Fachri Pane Syafrial , Adiwijaya Adiwijaya , Dwi Sulistiyo Mahmud , Akbar Gozali Alfian
Published: July 2024

Concerning the implementation of the government policy regarding the Restriction of Community Activities (PPKM) during the COVID-19 pandemic era, there are still discrepancies in the economic sector and population mobility. This issue emerges due to irrelevant data and information in one region of Indonesia. The data differences should be carefully solved when implementing the PPKM policy. Besides, the PPKM must also pay attention to some specific factors related to the real conditions of a region, such as the data on the epidemiology of COVID-19, economic situations, and population mobility. These three are called Multi Factors. Then, based on the data, COVID-19 has a specific spreading period that cannot be repeated and thus is called temporal. Therefore, using the Multi-Temporal Factors approach to identify their correlation with the PPKM policy by applying Machine Learning, such as the Multiple Linear Regression model and Dynamic Factors, is essential. This research aims to analyze the characteristics and correlations of the COVID-19 pandemic data and the effectiveness of the government's policy on community activities (PPKM) based on the data quality. The results show that the accuracy of the multiple linear regression models is 84%. The Dynamic Factor shows that the five most important factors are idr_close, positive, retail_recreation, station, and healing. Based on the ANOVA test, all independent variables significantly influence the dependent one. The linear multiple regression models do not display any symptoms of heteroscedasticity. Thus, based on the data quality, the implementation of PPKM by the government has a practical impact.
Omni-Channel Service Analysis of Purchase Intention
Authors: Sugiat Maria , Saabira Nadia , Witarsyah Deden
Published: July 2024

The COVID-19 pandemic has caused a decline in various aspects of the economy, including the fashion sector. Many fashion retailers have closed, so sales have fallen. However, many retailers can also adapt and change using new communication channels. This change presents new challenges for fashion companies and retailers to integrate channels into omnichannel services. This study aims to analyze the factors influencing customer behavior in omnichannel services through their intention to accept and use new technology in shopping. This study adopts the UTAUT2 model by adding two new variables: personal innovation and perceived security. This model was tested on 353 samples from Uniqlo customers residing in Indonesia. This research method uses a Quantitative PLS-SEM approach. This study tested the outer model, inner model, and hypothesis t-test with a bootstrap procedure using SmartPLS software. The results showed that the performance expectation factor did not affect the omnichannel purchase intention variable because the t-statistic value is less than 1.65. Meanwhile, other factors such as effort expectation, social influences, habits, hedonic motivation, perceived security, and personal innovativeness affect omnichannel purchase intentions because the t-statistic value is more than 1.65. The most positive and significant factor is personal innovativeness. Based on the results of this study, it is revealed that digitalization creates challenges for companies in maintaining digital businesses. Through various omnichannel service channels, this research can identify the factors influencing consumers' purchase intention
Synthesis and properties of new metal complexes containing heterocyclic moieties and investigation of the role of the metal in carbon dioxide gas capture
Authors: Jima’a Rawnaq , Shaalan Naser , Bufaroosha Muna , El-Hiti Gamal A. , Kariuki Benson M. , Ahmed Dina S. , Yousif Eamd
Published: July 2024

The continuous release of carbon dioxide (CO2) into the atmosphere will inevitably lead to greater environmental damage. The capture and storage of CO2 is one strategy to mitigate the harm associated with its high concentrations in the atmosphere. The design and synthesis of new materials to act as storage media for CO2 is currently an important challenge for researchers. In this regard, the investigation into the synthesis of new organometallic materials and their potential as CO2 storage media is reported. Therefore, the current work aimed to produce new materials using a simple procedure and investigate their properties, including factors affecting their CO2 adsorption. Four metal complexes containing heterocyclic units were synthesized using a simple method, and their structures were confirmed using several techniques. The surface morphology of the materials was inspected by microscopy. The metal complexes exhibited tunable particle sizes with diameters that ranged from 16.77 to 97.62 nm and a Brunauer‒Emmett‒Teller surface area of 1.20–4.01 m2/g. The materials can capture CO2 at 323 K and 40 bars, with the manganese-containing complex showing the highest CO2 storage capacity (13.1 cm3/gm).
Influence of different methods of surface treatment on corrosion resistance of low-alloy steel
Authors: Nyrkova Lyudmila , Knysh Vitaliy , Solovey Sergiy , Osadchuk Svetlana
Published: July 2024

The influence of mechanical methods of surface treatment (polish and polish with the next strengthening by high-frequency mechanical pinning, HFMP) on the corrosion resistance of low-alloy steel 15HSND were presented. The deficiencies of surface strengthening by HFMP with one impact peen were analyzed, and an instrument in which shock elements are situated in a few rows was suggested. Speed of HFMP for the surfaces 35 sm2/min was recommended. The differences in structure and microhardness of near-surface layers of 15HSND steel with polished surface and the polished surface with next strengthening by HFMP were established after investigations in the salt frog chamber and moisture chamber during 1200 hours. Application of HFMP technology increases of corrosion resistance of steel: corrosion rate after neutral salt fog decreased from 2,543 mm/year on the polished surface to 2,096 mm/year after HFMP treatment, and after increased humidity and temperature, from 0,104 mm/year to 0,080 mm/year.
Investigations of nanomaterial-based membranes for efficient removal of contaminants from wastewater via membrane distillation: a critical review
Authors: Kakkar Rashmi , Preet Kaur Dilraj , Raj Seema
Published: July 2024

The requirement for wastewater treatment is paramount in ensuring environmental sustainability and safeguarding public health. As industrialization and urbanization accelerate, the volume of wastewater generated continues to increase, containing a diverse range of pollutants and contaminants. Untreated wastewater poses serious threats to ecosystems, water bodies, and human communities, leading to pollution, waterborne diseases, and ecological imbalances. Effective wastewater treatment becomes essential to mitigate these adverse effects by removing or reducing pollutants before discharge into natural water sources. This process helps to preserve water quality, protect aquatic life, and maintain the overall health of ecosystems. Membrane distillation (MD) has emerged as a promising technology for wastewater treatment, offering an innovative approach to address the challenges associated with conventional treatment methods. In MD, a hydrophobic membrane serves as a selective barrier, allowing water vapor to pass through while preventing the passage of contaminants. This paper offers an extensive overview of the latest advancements in nanotechnology and membrane distillation applied in wastewater treatment. We will delve into different types of nanomaterials that have been used to enhance the properties of MD membranes, such as nanocomposites, nanoparticles, and nanofiber membranes. We also explore the mechanisms by which these nanomaterials improve the separation efficiency, anti-fouling properties, and durability of MD membranes. Additionally, we highlight the potential of hybrid membranes that combine different types of nanomaterials for further improving the performance of MD in wastewater treatment. We provide examples of recent studies that have investigated the use of hybrid membranes, including carbon nanotube-graphene oxide hybrid membranes, nanocomposite nanofiber membranes, and silver nanoparticle-embedded membranes. We also identify some areas for future research and development, such as the scale-up and commercialization of nanotechnology-based MD systems. In summary, this review paper highlights the potential of nanotechnology to enhance the performance of MD in wastewater treatment, leading to improved water quality and a cleaner environment.
Botanical corrosion inhibitors in reinforced concrete: material sustainability assessment and analysis - a review
Authors: KUMAR NISHANT , Mohd Noor Ikhwan Syafiq , Zu Azhan Yahya Muhd , Prakash Satya
Published: July 2024

Various methodologies have emerged over the past few decades aimed at controlling and mitigating corrosion. A new field has emerged in controlling corrosion through the use of plant-based corrosion inhibitors. The exploration of botanical extracts’ efficacy marks a significant shift in corrosion science, tapping into the potential and utility offered by green plants. This comprehensive study serves as a review encompassing the spectrum of botanical extracts and their applications in diverse contexts concerning reinforced structures. This research critically assesses the correlation between phytochemical compositions, the methodologies employed in solvent extraction, and the adsorption mechanisms pivotal for enhancing the efficacy of plant extracts in corrosion inhibition. The primary objective lies in uncovering the role of inhibitors in safeguarding embedded steel within concrete structures while aiming to curtail corrosion rates. A focal point of this investigation revolves around the transition from employing toxic inhibitors to environmentally friendly botanical extracts for corrosion mitigation. Furthermore, this study accentuates the range of botanical extracts used as corrosion inhibitors shedding light on the specific phytochemical components responsible for driving the corrosion inhibition process. Notably, it expounds upon the future prospects of corrosion inhibitors, outlining the inherent challenges that must be addressed to facilitate their scalability for widespread commercial utilization.
Structural investigation and physical properties of RO-ZnO-Li2B4O7-K2B4O7 (RO= SrO and BaO) glasses
Authors: Krishnaprasad Sarap , Shareefuddin Mohammed , Rao Siddey Laxmi Srinivasa , Gokarakonda Ramadevudu
Published: July 2024

Glass samples 10RO-30ZnO-xLi2B4O7-(60-x) K2B4O7 (RO=SrO and BaO) with alkali tetra borates varying from 0 to 60 mol% were produced by traditional quenching procedure. Peak free broad X-ray diffraction patterns established the amorphous feature of glass samples. FTIR and Raman spectro-scopic analysis showed the existence of BO3 and BO4 structural groups and other borate units. The BO3 ⇔ BO4 conversion rate was not much affected by variation in one of the alkali-tetrabo-rates. EPR spectra of copper doped glasses confirmed the ground state of Cu2+ ions as 2B1g. Physical and optical properties namely density, molar volume, refractive index, molar refractivity, optical band gap and Urbach energy values were found to be composition dependent. The inflections observed in density, and other optical properties around equal mol.% of alkali oxides in the glass system were attributed to structural modifications and mixed alkali effect. These results exposed the structural variations caused by competitiveness between the two different alkali and alkaline oxides in occupying the geometrical positions of the borate glass network.
SUSTAINABLE FINANCE AT THE GRASSROOTS: INSIGHTS FROM KARNATAKA'S GREEN BANKING LANDSCAPE
Authors:   Assistant Professor, Department of PG Studies and Research in Management, Karnataka State Akkamahadevi Women University, Vijayapura, Karnataka, India, Mathapati C. M.
Published: July 2024

In addition to global environmental challenges, sustainable finance has emerged as an important tool for reducing environmental risk and promoting economic growth. The study examines the development of sustainable finance at the grassroots level through an analysis of green banking initiatives in Karnataka, India, with special focus on Vijayapura district. The main objective of this study was to reveal the complex interplay between sustainable finance and community engagement through consumer knowledge and perception of green banking practices in the local context of Karnataka. Using mixed methods, the study combined quantitative surveys with qualitative interviews to critically examine the state of green banking awareness among consumers in Vijayapura district. The survey had collected data on customer demographics, knowledge of green banking principles, and attitudes towards a sustainable economy. In-depth interviews further clarified the factors affecting consumer participation in green banking schemes. Preliminary findings indicate that consumers in Vijayapura district differ in their awareness and understandings of green banking principles. While some respondents show a keen interest in sustainable finance and are willing to participate in green banking activities, others express limited knowledge or skepticism about its benefits about factors such as education; income and access to information emerge as significant determinants of customer perceptions and behaviors towards green banking. This study contributes to the evolving discourse on sustainable finance by providing insights into the implementation of green banking systems on the ground in Karnataka, India. By highlighting the opportunities and challenges associated with community engagement in the sustainable economy, the findings connect policymakers, financial institutions, and communities seeking to promote the environment the norms of sustainability and inclusive economic growth.
THE IMPACT OF SOCIAL MEDIA ON CONSUMER BEHAVIOUR
Authors:   Research Scholar, School of Commerce and Management, Starex University, Gurugram, India., Neetu Neetu , Kumar Ashish ,   School of Business, Sushant University, Gurugram, India., Yadav Priyanka ,   School of Commerce and Management, Starex University, Gurugram, India.
Published: July 2024

This review paper explores the multifaceted impact of social media on consumer behavior. Social media has revolutionized the way consumers interact with brands, make purchasing decisions, and influence others. By analyzing various studies, this paper highlights key aspects such as brand engagement, peer influence, and the role of social media influencers. The findings suggest that social media significantly affects consumer behavior, fostering a more interactive and personalized shopping experience.
ORGANIZATIONAL COMMITMENT OF EMPLOYEES: EMPIRICAL EVIDENCE FROM TELECOM SECTOR IN KERALA
Authors:   Research Scholar PG & Research Department of Commerce, MES Mampad College, University of Calicut, Kerala, India., K.P Muhammed , Beegam P P Dr. Shahanas ,   Assistant Professor and Head, PG & Research Department of Commerce, MES Mampad College, University of Calicut, Kerala, India
Published: July 2024

In the modern world, businesses operate in a very competitive and constantly changing environment. Therefore, organisations need to have highly skilled and dedicated personnel. Therefore, any company must address the demands that foster employee dedication. Organisational commitment refers to the psychological attachment that employees form with their organisation. Given the paucity of research on the organisational commitment of employees in the telecom sector, the present study focused on filling that gap. The study aimed to explore the levels of organisational commitment of telecom sector employees in Kerala. It also aimed to investigate the association of age and work experience with organisational commitment in the telecom sector. The study was conducted based on primary data collected from the employees working in Jio and BSNL using the structured questionnaire. The study found that employees have moderate levels of affective commitment and lower levels of normative and continuance commitment. Employees’ overall organizational commitment is recorded at a moderate level. The study also noted significant differences in organisational commitment among employees in different age groups and employees with different years of work experience. Commitment increases as age increases and experience increases. The study has implications for recruiting employees and formulating practices for service excellence
ANALISIS TANTANGAN PEMBELAJARAN SISWA PADA MATA PELAJARAN PENDIDIKAN AGAMA ISLAM SELAMA PANDEMI COVID-19
Authors: Dwi syamsih
Published: July 2024

Penelitian ini berakar dari hasil evaluasi ujian Pendidikan Agama Islam (PAI) siswa kelas XII SMA Negeri 5 Kota Jambi yang menunjukkan kinerja yang rendah selama masa pandemi Covid-19. Penelitian bertujuan untuk menguraikan diagnosis kesulitan belajar siswa pada mata pelajaran PAI di SMA Negeri 5 Kota Jambi selama pandemi Covid-19. Pendekatan kualitatif dengan jenis penelitian fenomenologi digunakan dalam penelitian ini. Informan dipilih secara purposive sampling, meliputi guru PAI, guru Bimbingan Konseling (BK), dan siswa kelas XII SMA Negeri 5 Kota Jambi. Pengumpulan data dilakukan melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa siswa mengalami kesulitan dalam memahami materi PAI selama pembelajaran daring dan menghadapi kesulitan interaksi dalam pembelajaran daring. Faktor-faktor pemicu kesulitan belajar siswa yang teridentifikasi meliputi kurangnya motivasi belajar dari guru dan orangtua, koneksi internet yang tidak memadai, keterbatasan ekonomi untuk membeli kuota internet, dan kurangnya interaksi antara guru dan siswa berdasarkan hasil observasi dan wawancara.
Facing Job Uncertainties: The Lived Experiences and Challenges Encountered by Government Contractual Workers
Authors: Abanto Rolando II , Marcelino Anna Rose , Oyao Roldan
Published: July 2024

Contractualization remains a contentious issue, particularly in the Philippines, where "Endo" (end of contract) refers to short-term employment. This qualitative phenomenological study aimed to investigate the challenges faced by job-order employees in a Philippine government agency. The study employed a descriptive-phenomenological research design. Eleven individuals employed under job order arrangements participated in semi-structured key informant interviews (KII). The collected data were analyzed using Colaizzi's approach. The results revealed the following themes regarding their challenges: insecurities, pressures, disincentives; work commitment; advancement; and optimism for coping mechanisms. Despite the challenges of job-order employment, the informants managed to perform their assigned services effectively. Additionally, they expressed a desire to become regular government employees. The study recommends that management improve job characteristics and the work environment through clear communication to increase satisfaction and retention. Employees should enhance their qualifications by obtaining master's degrees, specialized training, and attending seminars to improve job stability and prospects for permanent employment. Management should establish a clear path from temporary to permanent roles and implement a fair contract renewal process to promote stability and long-term commitment, reduce social comparison, and increase workplace productivity.
Assessing the Impact of Preceptorship on Nursing Education and Practice in Ghana
Authors: Brobbey Samuel Sanaa , Kolbugri Paul , Nukunu Frank , Morson Nana Betse , Addy Alfred
Published: July 2024

Objective: This analysis aimed to evaluate the impact of preceptorship programs on nursing education and practice in Ghana, considering challenges, opportunities, and outcomes.
Method: A comprehensive literature review and synthesis of findings from studies and case examples from Ghana and other West African countries were conducted.
Findings: Preceptorship programs have the potential to enhance student learning outcomes, clinical competence, and confidence. However, challenges such as resource limitations and inadequate support for preceptors need to be addressed. Case studies demonstrate the benefits of preceptorship, including improved patient outcomes and strengthened collaboration between academia and practice.
Conclusion: Preceptorship programs can transform nursing education and practice in Ghana, but their success requires investment, support, and collaborative efforts from stakeholders.
Recommendations: Nursing education institutions and healthcare facilities should prioritize preceptorship initiatives, allocate resources, provide support for preceptors, and engage students and educators in the planning, implementation, and evaluation of these programs to optimize their quality, relevance, and impact.
Analysis on the Regulatory Frameworks of Vaccine Manufacturing and Distribution in Ghana
Authors: Addy Alfred , Atakorah Shadrach Asamoah , Morson Nana Betse , Konnyebal Godfrey , Arhin Margaret Henneh
Published: July 2024

Objective: Analyze Ghana's vaccine regulations framework to identify strengths, limitations and policy refinement opportunities regarding manufacturing/distribution.
Method: Structured CRuPAC legal review model encompassing comparative assessment of Food/Drugs Act and Public Health Act provisions based on identified criteria; investigation of rules, historical applications and guiding principles; counterargument evaluation; advice formulation integrates relevant case laws, specific legislation sections and academic literature.
Results: Robust ecosystem found but with bureaucracy/access constraints; precedent supports compulsory vaccination upholding safety/welfare principles.
Conclusions & Recommendations: Balance safety considerations and industrial growth incentives; expedite registration pathways for proven developers, offer tax incentives for local producers, leverage compulsory licensing during shortages; increase healthcare budgets for system strengthening.
Contributions: Granular legal analysis establishes evaluative baseline; structured CRuPAC assessment elucidates reform gaps; expansive literature review provides contextualization; reasoned interpretation of vague provisions based on legal theory; tailored, evidence-based recommendations.
Significance: Highlights precedents, incentives and measures to optimize policies for regulators/manufacturers/legislatures regarding emergency preparedness.
The Impact of Virtual Teaching and Learning on Skill and Knowledge Acquisition in the Training of Health Professionals
Authors: Atakorah Shadrach Asamoah , Kolbugri Paul , Selorm Johnson Mensah Sukah , Brobbey Samuel Sanaa , Odonkor Rita Narkie , Addy Alfred
Published: July 2024

This paper aims to examine how virtual teaching and learning affect the acquisition of skills and knowledge among healthcare professionals in Ghana using the SWOT framework and socio ecological model. The findings indicate that virtual teaching offers benefits such as improved accessibility, flexibility, cost effectiveness and opportunities for expanding training using technologies. However challenges were noted in skill development and digital disparities. Threats included declines in competency and sustainability issues. The socio ecological perspective emphasized how factors across levels are interconnected. In conclusion the combined analysis using SWOT and socio ecological models provides an understanding of how virtual teaching impacts healthcare education in Ghana. Recommendations include investing in infrastructure training faculty members and supporting learners better; promoting collaboration among healthcare professionals; well as establishing quality assurance measures and plans, for long term sustainability. The study provides guidance on how to enhance the execution and impact of virtual education programs, in training health professionals. The results guide the development of policies based on evidence, allocation of resources and collaboration across sectors to establish an enduring policy framework for virtual healthcare professional education in Ghana.
Analisis dan Eksperimental Performasi Kompresi Uap 2 Tingkat dengan Variasi 4 Siklus
Authors: Sianipar Celvin , Ambarita Risko
Published: July 2024

Keberadaan Air Conditioner (AC) tidak terlepas dari aspek kehidupan sehari-hari. Pendingin udara memanfaatkan prinsip termodinamika dari siklus kompresi uap. COP merupakan parameter untuk melihat performa dari mesin pendingin. Pada penelitian ini, salah satu cara untuk meningkatkan COP pada mesin Pendingin adalah dengan memodifikasi siklus 1 tahap menjadi siklus 2 tahap. Makalah ini mengulas perbandin gan model siklus kompresi uap dua tahap dengan beberapa variasi.Perbandingan ini menggunakan software ASPEN PLUS V10 untuk melihat performa masing-masing varian. Untuk fluida kerja (Refrigerant) yang digunakan adalah R-32. Dari hasil simulasi, varian no III menunjukkan nilai COP yang lebih tinggi dibandingkan varian lainnya.
Dampak Larutan Asam Sulfat (H2SO4) dan Asam Klorida (HCl) Terhadap Laju Korosi baja karbon sedang dengan perlakuan Waktu Bervariasi
Authors: Siburian Ciko
Published: July 2024

Telah dilakukan percobaan untuk menentukan laju korosi baja karbon sedang dengan larutan asam sulfat, Aquades 90,2% + H2SO4 9,8% dan larutan asam klorida, Aquades 96,8% + HCl 3,2%. Dengan menggunakan metode weight loss, jika medium carbon steel dicelupkan ke dalam larutan asam sulfat maka laju korosinya lebih cepat dibandingkan dengan dicelupkan ke dalam larutan hidroklorik. Jika baja karbon sedang dicelupkan dalam waktu yang lama maka laju korosi akan melambat.
Analisis Lanjutan Distribusi Tegangan Sisa dan Keausan Pahat Milling pada Pemesinan Keras
Authors: Sianturi Rogantino , Sianturi Roy Lamrun
Published: July 2024

Penggilingan adalah teknologi yang tak tergantikan untuk menyelesaikan komponen mesin turbo yang terbuat dari paduan berbasis nikel. Tujuan peneltian yaitu untuk meningkatkan pemahaman tentang efek khusus dari perubahan yang disebabkan oleh keausan pada geometri pahat serta tegangan sisa pada distribusi tegangan pada irisan pemotongan pahat milling. Publikasi ini menyajikan metode untuk mempertimbangkan tegangan sisa pahat potong dan keausan pahat dalam model pembentukan chip FEM 2D untuk analisis terperinci fenomena kegagalan pahat tertentu dalam proses penggilingan. Untuk mewakili distribusi kedalaman tegangan sisa pada lapisan permukaan pahat yang tidak dilapisi dalam simulasi, pengukuran tegangan sisa pada pahat penggilingan dilakukan. Keausan pahat diperhitungkan dengan mengadaptasi geometri pahat potong. Perubahan geometri didasarkan pada pengukuran lebar lahan keausan sayap dan radius cutting edge. Tegangan utama dan distribusi tegangan setara von Mises dianalisis. Metode yang dijelaskan dapat meningkatkan pemahaman tentang efek lapisan permukaan pada umur pahat pahat milling. Dengan penurunan ketebalan chip, satu detik, zona tegangan tarik yang lebih terlokalisasi terbentuk di bawah permukaan rake face, yang dapat menjadi kritis dalam hal patahan. Dengan tegangan sisa tekan dan dengan peningkatan keausan sayap, tegangan tarik kritis ini berkurang atau bahkan dihilangkan.
Optimasi Parameter Material untuk Simulasi Pemotongan Ortogonal AISI4140 pada Berbagai Kondisi Tempering
Authors: Sianturi Rogantino , Sianturi Roy Lamrun
Published: July 2024

Parameter mekanis AISI4140 yang dipadamkan dan ditempa serta karakteristik proses pemesinan bergantung pada kondisi tempering material. Karakteristik proses relevansi praktis tidak hanya gaya pemotongan dan keausan pahat, tetapi juga kondisi lapisan permukaan bagian mesin. Untuk memprediksi dan meningkatkan karakteristik ini secara efisien, simulasi pembentukan chip melalui metode elemen hingga (FEM) biasanya diterapkan. Namun, masalah dalam simulasi pemesinan yang sering dibahas adalah memilih parameter material yang sesuai untuk model tegangan aliran. Ini terutama menjelaskan AISI4140 dengan berbagai kondisi temper, karena dalam banyak kasus perlakuan panas yang tepat tidak diberikan secara rinci, bahkan dalam literatur ilmiah. Dalam karya ini, pemotongan ortogonal AISI4140 dengan temperatur tempering 300°C, 450°C dan 600°C diselidiki melalui eksperimen dan simulasi FE. Model tegangan aliran Johnson-Cook digunakan dalam simulasi FE. Parameter material rujukan untuk kondisi temper diadaptasi secara iteratif melalui optimasi numerik agar sesuai dengan gaya pemotongan eksperimental. Parameter yang diperoleh dibandingkan dengan nilai literatur untuk menyiapkan landasan bersama untuk simulasi pemotongan AISI4140. Ini berkontribusi pada pemodelan proses yang ditingkatkan saat pemesinan AISI4140 dengan perlakuan panas yang disesuaikan dengan kasus penggunaan.
Implemenstasi Pemodelan Matematika, Simulasi dan Metode Optimasi untuk Peningkatkan Biogas dengan Penekanan pada Proses Berbasis Adsorpsi
Authors: Sianturi Pratama
Published: July 2024

Biogas menarik lebih banyak perhatian sebagai pembawa energi yang layak dan memungkinkan untuk pembangunan berkelanjutan. Dengan pesatnya peningkatan ukuran dan jumlah pembangkit biogas di seluruh dunia, teknologi terkait juga mengalami transformasi. Proses adsorpsi telah memainkan peran penting dalam pemanfaatan biogas secara luas dan kelayakan ekonomisnya. Selain kontribusi kegiatan eksperimen yang tak terbantahkan dalam kemajuan proses berbasis adsorpsi untuk peningkatan biogas, pemodelan matematika dan metode simulasi telah berevolusi untuk mendukung pertumbuhan lebih lanjut. Ini juga terkait dengan kemajuan yang cukup besar dalam kemampuan metode komputasi untuk menangani fenomena yang kompleks. Naskah ini bertujuan untuk meninjau kemajuan yang dibuat dalam implementasi pemodelan matematika, simulasi dan metode optimasi untuk peningkatan biogas dengan penekanan pada proses berbasis adsorpsi. Pertama, pentingnya peningkatan biogas dan peran metode komputasi dijelaskan. Kemudian, strategi dan metodologi untuk pengembangan model matematika dan simulasi proses berdasarkan mekanisme transportasi yang mengatur dijelaskan dengan mempertimbangkan adsorpsi ayunan tekanan dan adsorpsi ayunan tekanan vakum. Berdasarkan studi sejauh ini, proses ini telah menawarkan kemurnian dan pemulihan metana dalam kisaran yang dapat disesuaikan masing-masing 50–99% dan 75–99,4%. Selain menyoroti aplikasi metode komputasi molekuler untuk desain dan analisis berbagai adsorben, pengalaman dan manfaat yang diperoleh dari strategi hibridisasi dan intensifikasi diuraikan. Akhirnya, berbagai aspek penilaian tekno-ekonomi dari proses disajikan.
Eksperimental Dan Simulasi Transien Suhu Pahat Pada Pemotong Intan Selama Pemesinan Ti-6Al-4V
Authors: Sianturi Roy Lamrun
Published: July 2024

Konduktivitas termal yang tinggi dan ketahanan aus dari berlian CVD memberikan potensi pemesinan Ti-6Al-4V. Dengan memprediksi beban termomekanis, simulasi dapat memberikan informasi tentang kegunaan bahan pemotongan tersebut. Namun, pembentukan chip geser yang terjadi dalam proses pemotongan menyebabkan kondisi kontak yang tidak stabil. Oleh karena itu, simulasi transien jangka panjang yang intensif secara komputasi diperlukan untuk prediksi suhu pahat yang tepat. Dalam hal ini, pengguna-subrutin telah dikembangkan, memungkinkan simulasi jangka panjang beresolusi tinggi dengan waktu komputasi yang dapat diterima. Dengan penyelidikan eksperimental dan validasi hasil simulasi, pemodelan distribusi suhu di dalam alat pemotong dapat dilakukan, memberikan informasi berharga mengenai suhu kontak.
Evaluasi Kebijakan Lingkungan terhadap Emisi Gas Rumah Kaca di Indonesia
Authors: Irma Mona Febriani , Gusmira Eva
Published: July 2024

Penelitian ini bertujuan untuk mengevaluasi kebijakan lingkungan yang telah diterapkan di Indonesia dalam upaya mengurangi emisi gas rumah kaca. Indonesia menghadapi tantangan serius terkait perubahan iklim yang sebagian besar disebabkan oleh peningkatan emisi gas rumah kaca dari berbagai sektor ekonomi. Kebijakan-kebijakan lingkungan yang ada termasuk pengaturan untuk energi terbarukan, pengelolaan limbah, pengendalian polusi udara, serta perlindungan hutan dan lahan. Metode penelitian yang digunakan meliputi analisis kebijakan dengan fokus pada evaluasi efektivitas, konsistensi implementasi, dan dampak dari kebijakan-kebijakan tersebut terhadap mitigasi emisi gas rumah kaca. Data primer dan sekunder dikumpulkan dari berbagai sumber, termasuk laporan pemerintah, studi literatur, dan data statistik terkait. Hasil analisis menunjukkan bahwa meskipun Indonesia telah mengadopsi sejumlah kebijakan untuk mengurangi emisi gas rumah kaca, implementasi yang konsisten dan efektif masih menjadi tantangan. Faktor-faktor seperti koordinasi lintas sektoral, kapasitas institusi, pendanaan, serta partisipasi masyarakat berperan penting dalam keberhasilan kebijakan tersebut. Hasil analisis menunjukkan bahwa meskipun Indonesia telah mengadopsi sejumlah kebijakan untuk mengurangi emisi gas rumah kaca, implementasi yang konsisten dan efektif masih menjadi tantangan. Faktor-faktor seperti koordinasi lintas sektoral, kapasitas institusi, pendanaan, serta partisipasi masyarakat berperan penting dalam keberhasilan kebijakan tersebut
Degradasi Diazinon Menggunakan TiO2 Terkodop C dan N melalui Proses Ozonolisis
Authors: Khoiriah Khoiriah , Safni Safni , Wellia Diana Vanda
Published: July 2024

Penelitian ini bertujuan untuk mengeksplorasi efisiensi degradasi pestisida Diazinon menggunakan fotokatalis titanium dioksida (TiO2) yang dikodop dengan karbon (C) dan nitrogen (N) melalui proses ozonolisis. Fotokatalis TiO2 codoping C dan N disintesis menggunakan metode sol-gel dan dikarakterisasi melalui analisis XRD, SEM, dan FTIR untuk mengkonfirmasi struktur kristal, morfologi permukaan, dan keberadaan unsur pengotor. Aktivitas fotokatalitik dari TiO2 codoping C dan N diuji dalam sistem ozonolisis terhadap larutan Diazinon dengan konsentrasi tertentu. Hasil penelitian menunjukkan bahwa degradasi Diazinon meningkat secara signifikan dengan adanya fotokatalis C, N-codoped TiO2 dibandingkan dengan TiO2 murni. Proses degradasi dioptimalkan dengan variasi parameter seperti pH, waktu reaksi, dan konsentrasi ozon. Mekanisme degradasi dipelajari melalui analisis produk antara dan produk akhir menggunakan teknik kromatografi dan spektroskopi. Studi ini menyimpulkan bahwa C, N-codoped TiO2 dapat meningkatkan efisiensi ozonolisis pestisida Diazinon, menunjukkan potensi aplikasi yang besar dalam pengolahan air limbah pertanian
Keunggulan Ekstrak Daun Sungkai (Peronema canescens Jack.) dalam Melawan Radikal Bebas
Authors: Noviarni Intan , Fitria Rizki , Fitria Dori , Putri Riski Dwimalinda , Marni Lidia Gusfi
Published: July 2024

Penelitian ini bertujuan untuk mengevaluasi keunggulan ekstrak daun Sungkai (Peronema canescens Jack.) sebagai sumber antioksidan dalam melawan radikal bebas. Radikal bebas merupakan molekul tidak stabil yang dapat menyebabkan kerusakan sel dan berkontribusi terhadap berbagai penyakit degeneratif. Penggunaan antioksidan alami dari tumbuhan merupakan pendekatan yang menarik untuk melawan efek negatif radikal bebas. Ekstrak daun Sungkai dipilih karena diketahui memiliki kandungan senyawa fenolik dan flavonoid yang tinggi, yang berpotensi sebagai antioksidan. Metode penelitian melibatkan ekstraksi daun Sungkai menggunakan pelarut etanol dan analisis aktivitas antioksidan menggunakan metode DPPH (1,1-diphenyl-2-picrylhydrazyl) dan ABTS (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)). Hasil menunjukkan bahwa ekstrak daun Sungkai memiliki aktivitas penangkap radikal bebas yang signifikan, dibandingkan dengan standar antioksidan asam askorbat. Kandungan total fenol dan flavonoid dalam ekstrak juga dianalisis, menunjukkan korelasi positif dengan aktivitas antioksidan. emuan ini mengindikasikan bahwa ekstrak daun Sungkai memiliki potensi sebagai sumber antioksidan alami yang efektif. Pemanfaatan ekstrak ini dapat dikembangkan lebih lanjut dalam formulasi produk kesehatan dan suplemen diet untuk mencegah dan mengurangi kerusakan akibat radikal bebas. Penelitian lebih lanjut diperlukan untuk mengidentifikasi senyawa aktif spesifik dalam daun Sungkai dan mengevaluasi keamanan serta efikasi ekstrak ini pada model biologis yang lebih kompleks
Perkembangan Peradaban Islam Indonesia Pada Masa Reformasi
Authors: Muhammad Auliya Elhakim  , Agung Hidayatul Irsyad  , Nasikhin  , Fihris
Published: July 2024

This qualitative library research explores the role of Islamic civilization in Indonesia during the reformation era. It delves into Indonesia's historical narrative, emphasizing nationalism post-independence. Islam's roots trace back to the 7th century, flourishing in the 13th century. Despite rapid growth since independence, Islam hasn't been declared the nation's official ideology, favoring Pancasila for its pluralistic ethos. Post-reform, Islam's influence is significant, yet diverse Islamic movements emerged, some advocating for Islamic law. These dynamics create sensitivity around Islam, challenging its development amidst issues like representation, blasphemy, and the intersection of religion and politics. Consolidation and alignment of Islamic interests are essential for navigating this complex landscape.
Modernisasi Pendidikan Islam Perspektif Nurcholish Madjid
Authors: Adam Hasyim  , Munasir
Published: July 2024

Modernisasi pendidikan Islam mengintegrasikan nilai-nilai Islam dengan ilmu pengetahuan dan teknologi, relevan dalam tantangan zaman. Nurcholish Madjid menekankan perlu pembaruan dalam pemikiran, metodologi, dan pendekatan terhadap ajaran Islam. Konsepnya mengenai reintegrasi ilmu pengetahuan dan teknologi ke dalam norma agama, moral, dan etika. Penelitian ini menggunakan studi pustaka untuk mengumpulkan data dan menganalisis teori-teori relevan. Madjid mengusulkan integrasi keislaman, keindonesiaan, dan keilmuan dalam sistem pendidikan Indonesia yang tradisional. Modernisasi pendidikan Madjid mengedepankan metode berpikir filosofis progresif dan inklusif serta meningkatkan kualitas guru untuk menjawab problematika pendidikan Islam di Indonesia.
Perkembangan Peradaban Islam Indonesia Pada Masa Penjajahan Jepang
Authors: Na’imatul Hasanah  , Muhammad Yusuf Tsaqif As’ad  , Nasikhin  , Fihris
Published: July 2024

Pemerintahan kolonial Jepang di Indonesia berlangsung dari tahun 1942 hingga 17 Agustus 1945. Perubahan yang lebih luas dibawa oleh masuknya Jepang ke Indonesia, terutama dalam bidang pendidikan. Pendidikan Islam digunakan untuk memperkuat posisi pemerintah Jepang melawan ancaman dari sekutu selama penjajahan Jepang. Pengembangan peradaban Islam di Indonesia selama pendudukan Jepang dibahas dalam artikel ini. Studi ini menunjukkan tiga hal menggunakan metode literatur: 1) dinamika kondisi sosial-budaya saat Jepang berada di Indonesia, 2) fungsi sistem pemerintahan, dan 3) strategi peradaban Islam di Indonesia. Sistem politik yang terbentuk, pendekatan yang diambil untuk memberi dakwah kepada umat Islam di bawah pemerintahan kolonial Jepang, dan empat faktor lainnya. 4) Kesulitan yang dihadapi, 5) Pemain kunci dalam peristiwa itu. Kurangnya tema dalam periode peradaban Islam selama pendudukan Jepang membuat studi ini merupakan tambahan penting untuk studi tentang pengajaran Islam di Indonesia.
Perspektif Filsafat Konsep Nilai Idealisme Dalam Pendidikan Islam
Authors: Muhammad Alifkhan  , Muhammad Yusron Maulana El-Yunusi
Published: July 2024

Filsafat idealis merupakan salah satu aliran filsafat dimana dalam aliran tersebut menekankan pentingnya keutamaan jiwa, pikiran atau ruh di atas materi atau benda. Esensi manusia adalah  apa yang disebut jiwa atau spiritualitas, atau ``Roh.''dimana Pikiran adalah bentuk dimana dunia dapat dirasakan, dan juga merupakan suatu penggerak dalam semua tindakan manusia. Peranan filsafat di dalam dunia pendidikan yaitu sebagai acuan  filsafat pendidikan dengan tujuan mewujudkan filsafat pendidikan yang sangat diinginkan oleh  bangsa dan masyarakat . dalam  penelitian ini bersifat deskriptif dan menggunakan metode literatur . Di Sepanjang sejarah, filsafat idealisme juga sering dikaitkan dengan hubungan ketuhanan, yang keduanya fokus pada aspek spiritual. Oleh karena itu, dalam pembahasan filsafat idealis pendidikan Islam juga meliputi beberapa hal seperti, kurikulum , tujuan , bahan ajar , metode , kedudukan peserta didik dalam pendidikan Islam, kedudukan siswa dalam pendidikan Islam yang  juga Mencakup sudut pandang yang berbeda-beda terhadap suatu permasalahan juga peran pengajar dan  pendidik dalam pendidikan Islam.
Penerapan Nilai-Nilai Moderasi Beragama Untuk Generasi Milenial
Authors: Rahmadhani Shela
Published: July 2024

Paham ekstremisme dan radikalisme merambah pada setiap kalangan, terutama di kalangan generasi milenial yang lebih rentan terhadap gerakan radikal dikarenakan cara pandang yang cenderung melihat masalah agama secara hitam putih. Tujuan penelitian ini untuk menjelaskan bentuk internalisasi nilai-nilai moderasi beragama bagi generasi milenial. Generasi milenial merupakan kelompok yang memiliki karakteristik unik dalam menghadapi tantangan dan perubahan dalam era globalisasi saat ini. Penelitian ini didasarkan pada tinjauan pustaka yang mencakup teori, temuan, dan sumber dari penelitian terdahulu sebagai landasan untuk penulisan artikel ini. Melalui kajian literatur review, penelitian ini mengidentifikasi berbagai faktor yang mempengaruhi proses internalisasi nilai-nilai moderasi beragama pada generasi milenial, seperti pengaruh media sosial, lingkungan pergaulan, dan pendidikan agama. Hasil kajian literatur review menunjukkan bahwa pendekatan yang holistik dan terintegrasi antara pendidikan formal dan non-formal, serta peran orang tua dan komunitas dalam memberikan contoh yang baik, dapat menjadi solusi efektif dalam memperkuat internalisasi nilai-nilai moderasi beragama bagi generasi milenial. Implikasi praktis dari penelitian ini adalah pentingnya peran semua pihak dalam menciptakan lingkungan yang mendukung dan mendorong generasi milenial untuk menginternalisasi nilai-nilai moderasi beragama guna menciptakan masyarakat yang lebih harmonis dan toleran