16 research outputs found
'I want my sons to be like dad' LAHAD DATU HERO: His widow is to receive UUM degree on his behalf next week
No full textMOST children grow up watching and reading about their superheroes on television and in comic books, but the widow of Lahad Datu hero Assistant Superintendent Zulkifli Mamat has something else in mind for her sons.Noor Aziah Noor, 29, wants her children, especially her 51-day-old son, Noor Aqib Syahid, to grow up watching recordings of their father and listening to stories of his bravery. She has two other children: Noor Aqmar Amiruddin, 5, and Noor Muhammad Aqil, 2
The Implementation a Cost-Driven Strategy Based on Economic Sociology to Face Competition: A Case in the Tofu Agroindustry Business in Lombok - Indonesia
No full textAbstract: Until now, cost orientation is considered a strategy oriented to the interests of producers and does not pay attention to the interests of consumers. In its implementation, the cost-based strategy is flexible, that is, between satisfying producers' expectations of higher than normal profits and consumers' expectations of obtaining a cheap purchase price, so that it can be found. a trade-off between the interests of producers and the interests of consumers. To find the trade-off, a survey of entrepreneurs in the tofu Agroindustry under study was conducted in Mataram City and East Lombok Regency with forty sampling units each, so that there were eighty business units as samples. The result is the acquisition of a constant value of the relationship between production costs and raw material costs, minimizing the contribution margin.
Keywords: price, consumer, contribution margin, producer, benefit, compensation.
Title: The Implementation a Cost-Driven Strategy Based on Economic Sociology to Face Competition: A Case in the Tofu Agroindustry Business in Lombok - Indonesia
Author: TajidanTajidan, Muktasam Muktasam, Amiruddin Amiruddin, Candra Ayu, Muhammad Yusuf, Rosiady Sayuti, Febrian Humaidi Sukmana, M. Zaenul Muttaqin
International Journal of Management and Commerce Innovations
ISSN 2348-7585 (Online)
Vol. 10, Issue 1, April 2022 - September 2022
Page No: 424-434
Research Publish Journals
Website: www.researchpublish.com
Published Date: 25-August-2022
DOI: https://doi.org/10.5281/zenodo.7022762
Paper Download Link (Source)
https://www.researchpublish.com/papers/the-implementation-a-cost-driven-strategy-based-on-economic-sociology-to-face-competition-a-case-in-the-tofu-agroindustry-business-in-lombok---indonesiaInternational Journal of Management and Commerce Innovations, ISSN 2348-7585 (Online), Research Publish Journals,
Website: www.researchpublish.co
The Effect Of Leadership Style And Competency Towards Employees' Work Satisfaction And Performance At Governor Office Of South Sulawesi Province
No full textFrom Christianity to Islam: An Analysis of Ibn Rabban’s Approach towards Sira Nabawiyya
No full textWith the expansion of Muslim territory in the ninth century, non-Muslim communities’ reactions to the denials of the prophethood of Muhammad created an impact on the development of Islamic prophetology. Vigorous refutations from non-Muslim community, specifically the Jews, Christians and Brahmins urged Muslims to develop a solid mechanism in defence of the status of their beloved Prophet. One of the works that has been recognized as an apparatus to defend the Prophet Muhammad veracity is al-Din wa al-Dawla composed by Ibn Rabban, a physician of the Caliph’s court. This study analyses the novelty of his approaches in exploring Sira Nabawiyya and defending the prophethood of Muhammad. The study employed a descriptive, comparative and critical approach where it analyses and extracts the author original approach in explaining the legitimacy of Muhammad’s prophethood and enlightening the Prophet’s biography. The study argues that most of Ibn Rabban arguments in this work are actually developed from the foundations of Biblical scripture. His style of interpreting Biblical passages indicates a possible dependence on Ibn al-Layth’s letter. However, the way in which he presents Quranic references seems not to be in accordance with Ibn al-Layth’s perspective. This is where the novelty of his approach is distinguished. As a result, the study also affirms that Ibn Rabban imposes his own standards of selection and interpretation of Quranic verses when he applies it as reference to the Prophet’s life
The Application of the Human Resource Development Function in the Creative Industry in Ambon, Indonesia: A Study on Industry Center of Pearl Shell Handicrafts
No full textVera Leimena, Amiruddin Tawe, Romansyah Sahabuddin, Muhammad Azis
Department of Economics, Universitas Negeri Makassar, Indonesia
Corresponding Author: Vera Leimena, Department of Economics, Universitas Negeri Makassar, Indonesia. E-mail: [email protected]
Abstract: The new economic scenario in the 21st century is known as an economy based on science that requires the human quality that becomes the starting point of this economic dynamism. Qualified human is a player or subject who can take advantage of these developments. If people are not aware of these dynamics, this nation will be the object of a fierce wave of the new economy. Human qualities which are required to be able to participate in the mainstream of this new economy is the quality of creativity, productivity and competitive ability. These three qualities of human are a unity. There are three main functions of human resource development, namely, (1) education and training, (2) development of the organization, (3) career development. The function of the development is an effort to improve the productive capacity of human beings to be more competitive and superior and can be conducted through education and training that are the specificity of the discussion in this study. Education is to improve further the mastery of knowledge, concepts, and knowledge. The training is to improve the technical skills to perform the job.
Keywords: Human Resource Development, Education, Training, Creative Industry, Pearl Shell Handicrafts
Machine learning and remote sensing applications for assessing land use and land cover changes for under-monitored basin
No full textUrban sprawling caused by industrial and economic growth has significantly affected land use and land cover (LULC). Using satellite imagery for real-time examination in Kuantan has become exceedingly expensive due to the scarcity and obsolescence of real-time LULC data. With the advent of remote sensing and geographical information systems, LULC change assessment is feasible. A quantitative assessment of image classification schemes (supervised classification using maximum likelihood and deep learning classification using random forest) was examined using 2022 Sentinel-2 satellite imagery to measure its performance. Kappa coefficient and overall accuracy were used to determine the classification accuracy. Then, 32 years of LULC changes in Kuantan were investigated using Landsat 5 TM, Landsat 8 OLI, and Sentinel-2 based on the best classifier. Random forest classification outperformed maximum likelihood classification with an overall accuracy of 85% compared to 92.8%. The findings also revealed that urbanisation is the main factor contributing to land changes in Kuantan, with a 32% increase in the build-up region and 32% in forest degradation. Despite the subtle and extremely dynamic connection between ecosystems, resources, and settlement, these LULC changes can be depicted using satellite imagery. With the precision of using a suitable classification scheme based on comprehensive, accurate and precise LULC maps can be generated, capturing the essence of spatial dynamics, especially in under-monitored basins. This study provides an overview of the current situation of LULC changes in Kuantan, along with the driving factors that can help the authorities promote sustainable development goals
Rheological Evaluation of Asphalt Cements Modified with ASA Polymer and Al2O3 Nanoparticles
No full textAbstractThis study aims to evaluate and characterize the properties of modified asphalt cements exposed to high temperature. The Acrylate Styrene Acrylonhrtilrei (ASA) polymer and nano aluminum oxide (Al2O3) nanoparticles were added to the base asphalt cement with concentrations of 3, 5 and 7% of the weight of asphalt. The storage stability, viscosity, frequency sweep and MSRC test were considered for evaluation. The results demonstrate that the addition of ASA polymer and Al2O3 nanoparticles content have a great influence on the rheological properties of the asphalt cement at high temperatures. Additionally, it is clear that the storage stability of modified asphalt cements with ASA polymer and Al2O3 nanoparticles has good compatibility among the asphalt cement and the modifiers. Moreover, the complex modulus (G*) improves as the concentration of both modifiers increases. The improvement was 63.70% for 5% ASA polymer, and 71.12% for 5% Al2O3 at 75°C. Moreover, the modified asphalt cements demonstrates great resistance to high temperatures rutting, as the enhancement was up to 80 and 59% for 5% concentration of ASA and Al2O3. The modification of asphalt cements provides increasing the creep recovery up to 69.23 and 62.53%. It was found that the usage of ASA polymer and Al2O3 nanoparticles is able to mitigate asphalt cement problems at high temperatures, and 5% is considered as the optimum content of both modifiers
Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
No full textFlood issues have always been major disaster in many countries especially the tropical regions where extreme precipitations occurred during the monsoon seasons. Hence, well-established hydrological modelling framework is required to estimate the peak discharge in the river network as part of flood mitigation measures. Unfortunately, in poorly gauged river basin, observations data required for performing hydrological modelling such as landuse changes, climatology data, hydrological data, and soil information are often insufficient and difficult to obtained. The objectives of this study are to utilize readily accessible remote sensing data to generate the topography, land use characteristics, and climate data, and to establish the hydrological model framework for determining the peak streamflow discharge in poorly gauged basin. For this study, hydrological modelling was performed using ArcSWAT, an integrated extension in ArcGIS. Two types of data are used for the simulation, remote sensing climate data (RSCD) and observe climate data (OCD). There were 20 subbasins delineated for Kuantan River Basin with a total number of 87 Hydrological Response Unit (HRU) defined through ArcGIS. The periods used for calibration and validation of the hydrological model selected were from January 2010 to December 2011 and January 2017 to December 2018 based on the availability of the climate data to run the simulation. Both data will be the compared using observed streamflow data (OSD) at Station Bukit Kenau. Overall result obtained from the simulation, the observed climate data give better prediction than remote sensing climate data by comparing the performance rating using Ration of Standard deviation to RSME (RSR) and Percentage bias (PBIAS)
Evaluation of alternative approach for missing rainfall data filling in Kuantan river basin
No full textWater authority has been dealing with missing precipitation data of Kuantan River Basin (KRB) for decades and with recent flash flood events in the state of Pahang has highlighted the importance of climate data in flood prediction to reduce the severity of flood damage in future. However, climate data collected on site often contains gaps affecting the quality of rainfall data resulting in inaccuracy in analysis results. The main objective of this study is to evaluate the relationship between observed and remotely sensed (TRMM) rainfall data whether there is any established relationship that is fit to act as an alternative approach to fill missing observed rainfall data for KRB. The rainfall data were collected from three different sources which are observed rainfall data from Department of Irrigation and Drainage (DID), meteorological rainfall data from Malaysia Meteorological Department (MMD) and TRMM rainfall data from NASA website. It was found that correlation between the untreated observed rainfall data and remotely sensed rainfall data is not strong enough to be an alternative approach. The most noticeable finding was from Kg Sg Soi station where the correlation coefficient between TRMM and DID observed rainfall was found to be 0.56 and the relationship between TRMM and MMD rainfall data appear to have better correlation with a coefficient of 0.57. However, when rainfall data was analysed by month, correlation was as high as 0.74 which proved that correlation is easier to be established in months during wet season. Subsequently, XLSTATS Software was used to input the missing observed rainfall values for 8 active rainfall stations to find out the best imputation method for KRB’s missing observed rainfall data. To assess the method’s performance, the results were compared to the conventional approach which is station average method. The outcomes for this study have proved that Replace by Mean, MCMC and Nearest Neighbor method are the best approach to estimate the missing rainfall data for all the station in KRB. This study’s findings provide a full observed rainfall dataset and the best imputation approaches for all 8 active rainfall stations that can be utilized for future hydrological studies
Artificial Intelligence in Healthcare Business Ecosystem: A Bibliometric Study
No full textThe use of artificial intelligence (AI) in healthcare is rapidly increasing. Digital health start-ups are bringing new digital technologies and services to the market, allowing for cost savings and service improvements in the healthcare sector. However, successful integration of AI into the healthcare ecosystem is required to realise its full potential. A digital ecosystem approach can be used to achieve this integration. Using bibliometric analysis, this research seeks to provide a clear overview of artificial intelligence in the digital healthcare ecosystem by analysing the published literature in the field. A systematic literature search was conducted on an article extracted from the Scopus database related to artificial intelligence in the digital healthcare ecosystem. A search technique was devised in order to collect relevant publications and bibliographic data (e.g., country, research area, sources, and author). The VOS viewer was used to visualise the co-authorship networks of countries as well as the co-occurrence of author keywords (Leiden University). This study is unique in a way that it presents a comprehensive picture of global efforts of the use of artificial intelligence in the healthcare business ecosystem. Academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these areas in the future will benefit from the insights and research directions of this stud
