PELATIHAN MANAJEMEN STRATEGI PENGHIMPUNAN ZISWAF SECARA DIGITAL PADA PENGURUS LAZISMU KABUPATEN LANGKAT

Tujuan dari pelatihan ini adalah untuk meningkatkan pemahaman dan keterampilan para pengurus LAZISMU dalam mengelola dan memanfaatkan teknologi digital khususnya website crowdfunding berbasis afiliasi sebagai sarana efektif dalam penggalangan dana ZISWAF. Metode yang digunakan dalam pelaksanaan pelatihan terdiri dari tahap identifikasi permasalahan mitra, pelaksanaan pelatihan, dan evaluasi. Hasil identifikasi permasalahan meliputi rendahnya pemahaman tentang strategi fundraising digital, keterbatasan akses dan pengetahuan mengenai platform dan alat digital yang efektif, serta kurangnya keterampilan dalam mengelola kampanye penggalangan dana online. Pelatihan dilaksanakan melalui metode ceramah, diskusi, dan studi kasus. Evaluasi dilakukan melalui observasi, wawancara, dan kuesioner kepada mitra pelatihan. Hasil evaluasi menunjukkan bahwa pelatihan ini berhasil meningkatkan pemahaman dan keterampilan para pengurus dalam mengelola penggalangan dana secara digital. Pelatihan ini memberikan solusi bagi permasalahan yang diidentifikasi sebelumnya dan memberikan manfaat yang signifikan bagi LAZISMU dalam mengembangkan strategi penggalangan dana yang berkelanjutan. Dengan demikian, pelatihan manajemen strategi fundraising secara digital pada LAZISMU Kabupaten Langkat dapat dianggap berhasil dalam meningkatkan pemahaman dan keterampilan para pengurus dalam menggalang dana secara efektif melalui teknologi digital

How significant is durability in vernacular house construction?

For centuries, dynamic vernacular society has experienced repairing, or demolishing old houses, and constructing new houses. The time interval between those actions probably became more sparsely spread as modern and more durable technologies and materials offered wider range of options in the vernacular construction through globalization. The first objective of this paper was to compare the durability of distinctively old and new construction materials and technologies used in the vernacular houses in a context of northern Iran. The second objective was to search implicit values behind making decisions regarding durability. The ‘old’ construction technologies were ‘Kali’, Mud Houses, and Lar deh ee”, and, while Load-bearing wall, Concrete, and Steel structure were the ‘new’ categories. A questionnaire-based survey was conducted among 167 residents of different vernacular houses and 18 of them were selected for interview. Besides, a number of 20 experts also participated in a mailing survey for validating the data. Perception of users on durability of structure was assessed and compared through 5 elements namely foundation, floor, wall, roof, and attachment through the structured-questionnaire, while the implicit values were revealed from data collected through the open-ended interview. Results showed that residents tend to rate the old houses higher, rather controversially. Commercialization might be gradually inclining users’ choices towards new houses, but responses also showed that a house is likely to be redundant after only a couple of generations, even though it still has a long durable lifetime to spare, thus making the durability issue less significant

Time Series Prediction of Bitcoin Cryptocurrency Price Based on Machine Learning Approach

Over the past few years, Bitcoin has attracted the attention of numerous parties, ranging from academic researchers to institutional investors. Bitcoin is the first and most widely used cryptocurrency to date. Due to the significant volatility of the Bitcoin price and the fact that its trading method does not require a third party, it has gained great popularity since its inception in 2009 among a wide range of individuals. Given the previous difficulties in predicting the price of cryptocurrencies, this project will be developing and implementing a time series approach-based solution prediction model using machine learning algorithms which include Support Vector Machine Regression (SVR), K-Nearest Neighbor Regression (KNN), Extreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM) to determine the trend of bitcoin price movement, and assessing the effectiveness of the machine learning models. The data that will be used is the close prices of Bitcoin from the year 2018 up to the year 2023. The performance of the machine learning models is evaluated by comparing the results of R-squared, mean absolute error (MAE), mean squared error (RMSE), and also through a visualization graph of the original close price and predicted close price of Bitcoin in a dashboard. Among the models compared, LSTM emerged as the most accurate, followed by SVR, while XGBoost and KNN exhibited comparatively lower performance

Internal, External, Networking Factors and Challenges of Small Medium Enterprise (SMES) Internationalization / Nur Zania Azurin Abdullah Sani, Ahmad Shazeer Mohamed Thaheer and Zahariah Mohd Zain

Internationalization procedure of small to medium-sized enterprises (SMEs) is part of the increasing economy. The study aims to identify relationships between the factors influencing the SMEs to internationalize and identifying the most impactful factor that affects the internationalization of SMEs. The factors affecting internationalization of SMEs identified were external, internal, networking as well as barriers and challenges. The study focusses on SMEs in the service sector in Klang Valley, Malaysia. The methods used to conduct the survey is by distributing the questionnaire through email. There are 100 selected SMEs in the service sector which are listed in SME Corp Malaysia website and MATRADE website. Regardless of whether the SME’s are practising international business or not, they will still be one of the potential respondents. The data were examined and obtained using the statistical software SPSS. The analysis used is reliability analysis, correlation analysis and regression analysis to meet the research objectives. The expected outcome from this research is to analyze the factors that will impact the internationalization of SMEs. The results of the analysis show that all the variables have a low positive correlation. The most influential factors that effects SMEs decision to go international are barriers and challenges

Socio-economic factors in measuring the demand for residential neighbourhood in Nigeria

Socio-economic factor plays an important role in housing decision making through which demand for housing types and residential neighbourhood are made. This study aims at examining the relationship between socio-economic factors and the demand for residential neighbourhood in Nigeria within the context of Ibadan urban cenre. The study utilised the quantitative and qualitative methods. Quantitative approach was employed by the administration of questionnaire among 494 respondents while the qualitative aspect dealt with direct interviews through the use of unstructured questionnaire among 27 participants. Correlation, regression and content analyses were used to evaluate the results of the methods. The findings revealed that, these factors have a great influence on the social status of housing consumers and affect their demand for residential neighbourhood. In conclusion, the demand for residential neighbourhood in Ibadan urban centre has the potential to be explained by the socio-economic status such as; educational level, employment status, official status and monthly income of housing consumers

Influence of Knowledge Management and Individual Absorptive Capacity towards Innovation Capability among Agricultural Researchers: A pilot study

Advancing research and development (R&D) aspects is one of the main approaches to deal with this critical issue in agricultural sectors. The purpose of this paper is to evaluate the instruments to comprehend the association between knowledge management, absorptive capacity, and innovation capability in Malaysia's agriculture R&D. Focusing on individual-level analysis, this study quantitatively assesses the validity and reliability of the instruments at the preliminary stage of before going into full-fledged research. Based on the content validity index (CVI), and pilot data value, the finalized instrument has been sufficiently analyzed to proceed into a larger-scale study

Overall thermal transfer value of naturally ventilated double skin facade in Malaysia

As one of the many paths to achieve a sustainable built environment, the Malaysia uniform building bye-law with the new amendment stipulates that the OTTV of a building envelope with a total air-conditioned area exceeding 4000 m2 should not exceed 50 W/m2. Although, the existing formulae provided for calculating OTTV is only applicable to a traditional single skin façade (SSF) building. Therefore, this paper seeks to investigate and evaluate how the natural ventilation in the cavity of a naturally ventilated double skin façade (NVDSF) will impact the OTTV of a building integrated with this façade typology. To achieve this goal, a hypothetical base-case was designed to represent a typical commercial building in Kuala Lumpur, Malaysia. The calculated OTTV value of the base case is compared with that of the same building integrated with naturally ventilated cavity using dynamic simulation software (EnergyPlus/DesignBuilder) tool. The result indicates that the annual heat transferred through the east orientation of the building is higher than all other orientations and by integrating a naturally ventilated cavity on all orientations would reduce the cooling load over traditional single skin building by a range between 46% and 84%. However, the cost implication of investing in buildings with this kind of façade require more exploration for a better understanding on the return of investment in Malaysia context

Polyphenylsulfone-based solvent resistant nanofiltration (SRNF) membrane incorporated with copper-1,3,5 benzenetricarboxylate (Cu-BTC) nanoparticles for methanol separation

Mixed matrix membranes (MMMs) of various properties were prepared for a solvent resistant nanofiltration (SRNF) process by incorporating polyphenylsulfone (PPSU) membranes with self-synthesized copper-1,3,5-benzenetricarboxylate (Cu-BTC) nanoparticles at different loadings. Cu-BTC nanoparticles were homogeneously dispersed in PPSU dope solution prior to the casting process, and their subsequent presence in the PPSU membrane was inferred by a combination of FTIR spectroscopy, TGA, SEM, EDX and AFM analyses. These analyses confirmed the existence of Cu-BTC particles and their distribution pattern in the membrane matrix. Membrane performance in organic solvent nanofiltration was evaluated on the basis of methanol permeance and dye–methanol separation. Results showed that membrane pure methanol flux was significantly improved from 102 L m-2 h-1 in the pristine PPSU membrane to >135 L m-2 h-1 in the 3 wt% Cu-BTC incorporated into PPSU membrane when both membranes were tested at 14 bar. Apart from preferential channels created by Cu-BTC, the existence of interfacial voids in MMMs also contributes to the flux improvement owing to the formation of alternative paths for solvent transportation. Results also showed that the membranes incorporated with low loadings of Cu-BTC (ranging between 0.5 and 1.0 wt%) tended to have smaller molecular weight cut-off (MWCO) than that of pristine PPSU and PPSU incorporated with 3 wt% nanoparticles, leading to smaller surface pore size but better separation efficiency. The improvement in membrane flux and dye rejection at low Cu-BTC loadings could be attributed to the good dispersion of the nanoparticles in the membrane matrix coupled with their improved interfacial contact with the membrane. The newly developed membrane also showed a great improvement in terms of resistance to compaction, suggesting Cu-BTC particles are of importance in increasing membrane rigidity and strength

The role of higher education institutions in providing knowledge workers: A case study on Master in Knowledge Management (MKM) programme at the Faculty of Information Management (FIM), UiTM Shah Alam, Selangor, Malaysia

This paper highlights several benefits of the knowledge management (KM) programme to organisations in various industries. It stresses on the importance of knowledge worker (KW), its competencies and skills in order to compete in the knowledge based economy.It discusses how Malaysian government is responding to the challenge and the roles of Higher Learning Institutes in developing academic programmes that suit the market needs.There are many measures which have been taken in creating and preparing for the knowledge workers.The Faculty of Information Management (FIM) for instance has undertaken proactive action, to offer Master in Knowledge Management (MKM)programme in which the curriculum has been developed to emphasise on competence-oriented learning concepts. It shows how FIM has designed its curriculum model (MKM) based on the strengths of its existing system.To meet the desired educational outcomes, it complements curriculum changes with a pedagogic approach that transforms the role of FIM to facilitators of learning. Curriculum pertaining to the development of the new era knowledge worker will also be discussed

Self regulated learning in flipped classrooms: A systematic literature review

The flipped classroom is considered an instructional strategy and a type of blended learning instruction that focused on active learning and student engagement. Over the years, flipped classroom studies have focused more on the advantages and challenges of flipped instruction and its effectiveness, but little is known about the state of self-regulation in flipped classrooms. This study investigates the self-regulation strategies as well as the supports proposed for self-regulated learning in flipped classrooms. Findings show that relatively few studies have focused on self-regulated learning in flipped classrooms compared to the overall research and publication productivity in flipped classrooms. Also, the existing solutions and supports have only focused on either self-regulation or online help-seeking, but have not focused on other specific types of self-regulation strategies. Our study proposed some future research recommendations in flipped classrooms