HighTech and Innovation Journal
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Comparative Analysis of Meteorological Drought based on the SPI and SPEI Indices
Get PDFThe management of water resources in our states has become increasingly difficult in recent times due to the frequency and intensity of droughts. In the context of climate change, extreme weather and climate phenomena such as floods and droughts that are increasingly occurring have adverse consequences on the socio-economic development of the Senegalese territory. Droughts that affect water availability, agricultural production, and livestock operations are generally identified and characterized using drought indices. The objective of this paper is to analyze the hydrological drought trend in two Senegalese regions, the Senegal River valley and the Casamance basin, with different climatic characteristics (Sahelian continental climate and South Sudanian tropical climate, respectively) during the period 1981-2017. For this purpose, daily data from uniformly installed 8 meteorological stations in the two areas were examined, and trends in the standardized precipitation index (SPI) and standardized precipitation-evapotranspiration index (SPEI) were also assessed. The similarities and differences between the indices of the two regions were then examined. In most stations in both areas, there is a statistically significant trend of increasing SPI and SPEI (75% of the stations for SPI and 87.5% for SPEI), despite some negative trends (e.g., SPI in Bakel, SPE and SPEI in Matam, SPEI in Saint Louis). Moreover, the trend of the indices averaged over the stations of the two indices, although generally positive in the two climatic zones considered (with the exception of the SPI in the valley where it is negative), is only significant in the Casamance basin zone. Doi: 10.28991/HIJ-SP2022-03-02 Full Text: PD
A Digital Literacy Workshop Training Model for Child Parenting in a Fourth Industrial Era
Get PDFThis study aims to describe how a digital literacy workshop model is ideal for parents in the fourth industrial era. The study used a descriptive qualitative method. The data collection techniques used were interviews, observation, and literature study. The research was conducted at Cibeureum, in the South Cimahi Subdistrict, in Indonesia. The research subjects consisted of five parents with children aged 7 to 16 years old. The findings of this study indicate that knowledge, understanding, and skills in using media, especially social media, among parents are still lacking. Hence, leading to inadequate parental supervision of children's activities on social media within the digital age and now the fourth industrial era, which comes with a lot of challenges. The present study established a digital literacy workshop model for parents that may be appropriate through a combination of theory and practice, as well as the mentorship of parents in the guidance of their children within this era of the fourth industrial revolution. The workshop model helps to increase the knowledge and ability of parents in using social media and also helps to improve parental supervision of children in using other forms of technology. Doi: 10.28991/HIJ-2022-03-03-05 Full Text: PD
Effects of Social e-Commerce on Consumer Behavior
Get PDFObjectives: The purpose of this research is to conduct an examination of intention factors for using social commerce in Indonesia. Methods/Analysis: This research is a quantitative study that applies the customer analysis model to four big social commerce sites in Indonesia. This study uses the multivariate regression method and IBM SPSS 25 software to prove the relationship between research variables. Findings: Variables will include performance expectations, effort expectations, societal effects, supportive circumstances, and cost savings. Data from 210 online respondents in Indonesia were collected. Novelty and Improvements:Positive outcomes are provided by the model as a result of changes in the use of social commerce. Doi: 10.28991/HIJ-2022-03-04-01 Full Text: PD
The Importance of Interfirm Networks in Enhancing Innovation Capability and Exporting in High-Tech Industry
Get PDFThis study investigates how interfirm networks affect firm performance through a multi-mediation model of innovation capability and exports in the context of high-tech industries in Indonesia as one of the emerging economies. As part of domestic and international business networks, the firm can benefit from various forms, such as being a supplier to another firm in the next value chain, learning external knowledge, resource sharing, and, in turn, increasing firm performance. However, there is no guarantee that firms engaging in the interfirm network will increase their performance through innovative capability and internationalization through exporting activities. This study utilizes the large and medium manufacturing industries 2017 dataset from an annual survey conducted by Statistics Indonesia. We created a total sample of 2,578 firms from 7 industries in Indonesia's high-tech industries based on two-digit International Standard Industrial Classification (ISIC) manufacturing industries. By employing Structural Equation Model (SEM) – Path Analysis, this study found that the interfirm network positively and significantly affects the firm's performance. Meanwhile, a significant but not unidirectional effect was found in the relationship between interfirm networks and innovation capability, as well as innovation capability on firm performance. Export plays an important role in improving the company's performance, either directly or as a mediator. However, the mediating effect of innovation capabilities and export activities on interfirm networks and firms' performance is much smaller than the direct effect of interfirm networks on firms' performance. Doi: 10.28991/HIJ-SP2022-03-05 Full Text: PD
Unveiling the Power of ESG: How it Shapes Brand Image and Fuels Purchase Intentions - An Empirical Exploration
Get PDFNowadays, with a widespread increase in awareness of environmental concerns, the ESG concept has been acknowledged as one of the most vital strategic movements for firms. This paper explores the effect of ESG activities on brand image and customers' purchase intentions. The moderating effects of a range of sociological factors are also investigated. Based on 168 samples of Thai participants, survey research with an online questionnaire tool was employed to collect the data with structural equation modelling (SEM) to test hypotheses and verify the conceptual framework of this study. The results showed that all environmental, social, and governance activities significantly affect brand image and customers' purchase intentions. For brand image as a consequence of ESG activities, social activities (b = 0.511) play the strongest role, followed by environmental (b = 0.482) and governance (b = 0.434) activities. On the other hand, environmental activities (b = 0.420) of the ESG concept strongly influence customers' purchase intentions, followed by social (b = 0.395) and governance activities (b = 0.309). Additionally, the moderation analysis found that the effects of ESG activities on brand image and purchase intentions vary depending on gender, age, and education level. These findings provide a deeper understanding of the ESG concept for both academics and practitioners. This paper offers implications and recommendations for further research based on the outcomes. Doi: 10.28991/HIJ-2022-03-04-07 Full Text: PD
Soil Quality Evaluation in Urban Ecosystems during the Covid-19 Pandemic
Get PDFThe article considers the changes in some agrochemical parameters and the content of plumbum in the soil cover of a medium-sized urban ecosystem after the introduction of quarantine measures in connection with the Covid-19 pandemic. It has been determined that the blocking of anthropogenic activity did not affect the content of humus. There were changes in soil pH, which led to the transition from an alkaline reaction to a neutral one. The amount of fertilizer elements (NPK) in the soil in the post-quarantine period has been increased. The content of the mobile (active) form of plumbum within the city has been halved on average. In general, the impact of quarantine from Covid-19 on the condition of the soil cover as well as on air and surface water can be preliminary considered as positive. Doi: 10.28991/HIJ-SP2022-03-04 Full Text: PD
Production and King Grass Nutritional Quality Number of Sources of Nitrogen Fertilizer
Get PDFThe aim of this study was to obtain the best nitrogen source and level of information on plant growth, production, and nutritional quality of king grass forage (Pennisetum Purpureophoides). The source of nitrogen comes from natural fertilizers (chicken and cow manure) and artificial fertilizers (urea and NPK). The method was completely randomized with the BNJ further test with a confidence interval of <0.05. The research plan consisted of 2 factors: the type of fertilizer (organic; cow and chicken manure); inorganic fertilizers (NPK and urea + nitrogen); and the second factor, the dosage (50, 75, and 100 kg/ha/defoliation). Observation parameters were plant height, stem diameter, number of plants per clump, fresh forage production, dry matter production, dry matter content, crude protein content, crude fibre content, and crude fat content. The results of the study using modifications in fertilizing king grass to increase carbon sources and nutrients obtained significant results. The average plant height was obtained between 60-263 cm. The largest size was at defoliation 1, and the lowest was at defoliation 4. Plant diameter increased between 9.97–12.43 mm, with tiller production in plants increasing to 18.5–25.8 planting. The increase was also followed by the number of fresh leaves and a decrease in the number of dry leaves. Protein content increased with the higher dose given at 11.78% BK, with a crude fiber value of 34.41% BK. King Grass contains a good source of carbon nutrients and can affect the increase in plant growth with a higher plant height and a higher number of leaves. Doi: 10.28991/HIJ-2022-03-03-02 Full Text: PD
Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective
Get PDFThe purpose of this paper is to gain a better understanding of Artificial Intelligence (AI) application dynamics in the oil and gas supply chain. A location perspective is used to explore the opportunities and challenges of specific AI technologies from upstream to downstream of the oil and gas supply chain. A literature review approach is adopted to capture representative research along these locations. This was followed by descriptive and comparative analysis for the reviewed literature. Results from the conducted analysis revealed important insights about AI implementation dynamics in the oil and gas industry. Furthermore, various recommendations for technology managers, policymakers, practitioners, and industry leaders in the oil and gas industry to ensure successful AI implementation were outlined. Doi: 10.28991/HIJ-SP2022-03-01 Full Text: PD
Production Data Analysis Techniques for the Evaluation of the Estimated Ultimate Recovery (EUR) in Oil and Gas Reservoirs
Get PDFThe calculation of oil reserves (estimate ultimate recovery, EUR) is required for reservoir management. It is important to differentiate between oil reserves and oil resources. The latter is roughly defined as the sum of recoverable and unrecoverable volumes of oil in place; whereas, the oil reserves can be defined as those amounts of oil anticipated to be commercially recoverable from a given date under defined conditions. However, there is always uncertainty when making reserve estimates, and the main source of uncertainty is the lack of available geological data. Depending on the quantity and quality of the available data, different methods are used for the evaluation of the EUR. A number of essentially straight-line extrapolation techniques (production data analysis) have been proposed to estimate the EUR for oil and gas wells. Thus, a detailed analysis of past performance of oil and water production data is required in order to predict the future performance of the oil and gas wells. This work utilized seven straight-line extrapolation techniques to estimate and compare the values of EUR of three oil wells from the same reservoir. The comparison shows very similar estimated EUR. Doi: 10.28991/HIJ-2022-03-01-09 Full Text: PD
Analysis of Vertically Oriented Coupled Shear Wall Interconnected with Coupling Beams
Get PDFThe nonlinear static response of a vertically oriented coupled wall subjected to horizontal loading is presented in this research article. The 3 storey vertically oriented coupled wall interconnected with coupling beams is modelled as solid elements in a finite element (FE) software named Abaqus CAE and the steel reinforcement is modelled as a wire element. For simulation of concrete models, a concrete damaged plasticity constitutive model is taken into consideration in this research. Moreover, with the help of concrete damage plasticity parameters, validation of two rectangular planar walls was executed with an error of less than 10 percent. Finally, these parameters are used for modeling and analyzing the static behavior of coupled walls connected with coupling beams. Furthermore, the maximum unidirectional horizontal loading helped in obtaining the compression and tensile damage as well as scalar stiffness degradation. Significantly, the research also found the plastic hinge location in the coupled wall as well as in the coupling beam, which are of utmost importance in nonlinear analysis. Doi: 10.28991/HIJ-2022-03-02-010 Full Text: PD