Rumah Jurnal Institut Pesantren KH. Abdul Chalim
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The Effect of Advertising Attractiveness on Purchase Intention on Taobao E-Commerce With Brand Image as an Intervening Variable Reviewed in Islamic Business Perspective (Case Study on Generation Z in Taiwan)
Get PDFThis study aims to analyze the effect of advertising attractiveness on purchase intention in Taobao e-commerce, with brand image as a mediating variable. A quantitative approach was employed using Partial Least Squares – Structural Equation Modeling (PLS-SEM). Data were collected through an online questionnaire completed by 100 respondents aged 15–30 years in Taiwan who have a Taobao account, have shopped online, and are familiar with or have used the Taobao website. Based on the background of this article, the method used in this study is a descriptive method with a quantitative approach. Data were obtained through research on Generation Z in Taiwan. The results indicate that advertising attractiveness has a positive and significant influence on both brand image and purchase intention. Furthermore, brand image mediates the relationship between advertising attractiveness and purchase intention. These findings suggest that advertising attractiveness enhances interactive shopping experiences and builds a strong consumer perception of the brand in online shopping. From an Islamic business perspective, advertising attractiveness contributes to transparency and honesty, thereby increasing purchase intention. This study recommends further development of advertising features to make them more realistic in order to maximize their effectiveness in digital marketing
The Determination of Exchange Rate, Production Volume, Average Price, and Gross Domestic Product on the Export Value of Indonesian Nutmeg Seeds (HS-090811) to China
Get PDFIndonesia is one of the largest producers and exporters of nutmeg in the world. Nutmeg plays a very crucial role in improving the Indonesian economy. One of the destination countries for nutmeg exports is China. This study aims to determine the factors that influence the Export Value of Indonesian Nutmeg to China. The data in the study were analyzed using a quantitative approach using the Multiple Linear Regression Analysis method. The results of the study indicate that the Exchange Rate has a negative and significant effect on the Export Value of Indonesian Nutmeg Seeds to China, the Amount of Production and Average Price have no effect on the Export Value of Indonesian Nutmeg to China, and China's GDP has a significant positive effect on the Export Value of Indonesian Nutmeg to China
Enhancing Green Purchase Intention Through Corporate Social Responsibility (CSR): The Mediating Role of Green Perceived Value
Get PDFThis study aims to analyze the role of green brand image, green trust, and green perceived value (GPV) as mediators between Corporate Social Responsibility (CSR) and consumer responses, including green purchase intention (GPI), word-of-mouth (WOM), and willingness to pay (WTP), in the context of developing and marketing environmentally friendly products in Indonesia's oil and gas industry. Data was collected through an online survey targeting consumers of oil and gas products, focusing on their perceptions of the benefits of environmentally friendly products and the company's CSR initiatives. The independent variable in this study is CSR, while the mediating variables include green brand image, green trust, and green perceived value. The dependent variables are green purchase intention (GPI), word-of-mouth (WOM), and willingness to pay (WTP). The data were analyzed using the Structural Equation Modeling (SEM) method to explore direct and indirect relationships among variables. The findings of this study are expected to help companies understand the factors influencing consumer behavior, enhance the adoption of environmentally friendly products, and support sustainability strategies in the energy sector
The Impact of ESG Score on Company Value in Southeast Asia: The Role of Competitive Advantage as a Moderating Variable
Get PDFThis study examines the impact of Environmental, Social, and Governance (ESG) scores on firm value in Southeast Asia, with a focus on how competitive advantage influences this relationship. Using panel data from 90 publicly listed companies across five ASEAN countries (Indonesia, Malaysia, the Philippines, Singapore, and Thailand) from 2018 to 2023, the research applies fixed-effects regression models to analyze the data. Tobin’s Q is used as a proxy for firm value, while ESG scores are obtained from Refinitiv. Competitive advantage is measured using operational efficiency indicators.The results show that higher ESG scores have a negative effect on firm value, which contradicts the common belief that ESG practices improve corporate valuation. This suggests that ESG implementation may impose additional costs or operational constraints, especially in emerging markets where regulations and awareness are still developing. However, competitive advantage plays a moderating role in this relationship. Firms with strong competitive positions are better able to manage ESG-related risks and costs, helping to reduce the negative impact on firm value. These findings highlight the importance of aligning ESG strategies with a company's core strengths to ensure sustainability efforts do not harm financial performance. Investors should consider both ESG performance and competitive positioning when making decisions. Policymakers are encouraged to design ESG regulations that support sustainability without negatively affecting firm valuation. This study contributes to the growing literature on ESG performance in emerging markets and offers practical insights for firms, investors, and regulators in Southeast Asia. Future research can explore other moderating factors such as industry type, macroeconomic conditions, and regulatory environments
Determinants of Taxpayer Compliance (Case Study at the Primary Tax Office of Serang Regency, Banten Province)
Get PDFTaxes are mandatory contributions imposed by the state on taxpayers for the benefit of the country. The purpose of this study is to determine the influence of Tax Audits (X1), Understanding of Tax Regulations (X2), and Strictness of Sanctions (X3) on Taxpayer Compliance (Y), and their impact on Tax Revenue (Z). For the research sample, the researcher conducted a survey of taxpayers registered at the Serang Barat Primary Tax Office. The data analysis tool used in this study was SPSS 22 software. The researcher used data from 100 respondents. The results of the study in submodel 1 indicate that Tax Audits and Understanding of Tax Regulations have a significant effect on taxpayer compliance, while the Strictness of Sanctions does not have a significant effect on taxpayer compliance. Submodel 2 shows that Taxpayer Compliance and Understanding of Tax Regulations have a significant effect on Tax Revenue, whereas the variables of Tax Audits and Strictness of Sanctions do not have an effect on Tax Revenue
Information System Success Model Analysis - Enhancing User Satisfaction in Video Streaming Platforms Using Video Streaming Analytics Features
Get PDFThe swift expansion of Subscription Video on Demand (SVoD) platforms in Indonesia is resulting in user retention challenges; data indicates that 23% of users plan to terminate their subscriptions. This research study examines the determinants of user happiness with the objective of giving pragmatic methods to mitigate subscription cancellation rates. The foundational principle of this research study is the Delone & McLean Information System Success Model. This theory elucidates the quality of the system, the quality of information, and the quality of service, which are identified as critical factors of user satisfaction and will ultimately influence the net benefits. This study employed a quantitative methodology, gathering data from 186 Indonesian SVoD respondents and analysing it by Partial Least Squares Structural Equation Modelling. The analysis results indicate a substantial beneficial impact of system quality, information quality, and service quality on user happiness. User happiness influences net benefits, which can lead to user retention and market expansion. To address the problem of subscription cancellation business, this research study proposes a Video Streaming Analytics (VSA) system. The proposed VSA solution is a surveillance system to collect real-time information about video streaming KPIs. VSA uses machine learning models to improve network performance and can be used for personalization. The next step after implementing VSA is to use the information collected to create licenses and partnerships according to Indonesian user trends and preferences. By implementing VSA and personalized campaigns, SVoD platforms and telecom service providers can improve their user satisfaction and further reduce churn rates and tap into the potential of Indonesia's entertainment content market. This research study emphasizes analytics-based strategies to create competitive advantage and long-term sustainability in the industry
Analyzing Organizational Structures for Shift Workers in Mining Division Unit Pertambangan Tanjung Enim (UPTE) PTBA
Get PDFThe objective of this research is to determine the most suitable shift work model for supervisory positions at PTBA-UPTE, with the aim of improving productivity, employee well-being, and cost-effectiveness. The study utilized a mixed-methods design, incorporating focus group discussions with industry experts, benchmarking practices, and the Analytical Hierarchy Process (AHP) to support multi-criteria decision-making. Three alternative models were assessed: the existing 3-shift rotation, an extended-hours 2-shift model, and a hybrid system combining elements of 2-shift and non-shift schedules. Based on the AHP analysis, the hybrid model emerged as the most advantageous, demonstrating a 35% reduction in required manpower and stronger alignment with both operational efficiency and workforce wellness objectives
Representing Peace in the Songs "Palestīna Bilādī" and "We Will Not Go Down": Study of Comparative Literature
No full textPurpose - This study aims to find the intertextual relationship between the song "Palestīna Bilādī" by Ajlān Thabet and the song "We Will Not Go Down" by Michael Heart, and to find the differences between the two in representing the peace that is the hope of the Palestinian people.
Design/methodology/approach - by using qualitative research methods and Julia Kristeva's intertextual approach, the researcher will compare the two songs. The data collection techniques used include the technique of listening to the involved conversation, which is done by seeking information from the songwriter through his social media, as well as the technique of listening to the free involved conversation with the technique of note-taking as a follow-up technique. The researcher will listen to both songs and conduct an analysis with the help of other secondary data such as books and related articles.
Findings/results – The results of the study indicate an intertextual relationship between the song "We Will Not Go Down" and the song "Palestīna Bilādī". The relationship is that the first song is a hypogram text, while the second song is a transformation text. The song created by Michael Heart focuses more on describing the suffering experienced by the Palestinian people, and in a very painful situation, they remain alive and continue to fight to achieve independence. Meanwhile, in the song "Palestīna Bilādī” there is a picture of a peaceful life that Palestine will achieve, which emphasizes that the results of the struggle, if accompanied by unity, will lead to victory.
Originality/value - The benefits of this research are to increase the social and political awareness of readers and to prove that every literary work must have a relationship with other literary works. This paper also provides reading contributions for researchers around comparative and intertextual literature.
Paper type – Research pape
Leadership and Innovation Dynamics on Public Servants: Creative Self-Efficacy and Affective Commitment as Mediators
Get PDF This study explores how creative self-efficacy and affective commitment mediate the relationship between leadership styles and innovative work behavior among public servants in the government financial sector. It compares the impact of self-leadership and transformational leadership on innovative work behavior, using public servants as the research subjects. The study surveyed 860 public servants in a state financial organization using online questionnaires with a 7-point Likert scale. Data were analyzed using SmartPLS and Structural Equation Modelling (SEM). The study found a positive link between creative self-efficacy, affective commitment, and innovative work behavior, highlighting the mediating role of creative self-efficacy and affective commitment between leadership style and innovative work behavior. It recommends that supervisors adopt a transformational leadership style to enhance creative self-efficacy and affective commitment, thereby boosting innovative work behavior. Additionally, organizations should employ self-leadership strategies to promote innovation
Analysis of Emissions and Environmental Impacts of the Production and Distribution Process of Two Aspect Traffic Lights Using the Life Cycle Assessment Method
Get PDFIn Indonesia, carbon emissions declarations are still voluntary and their implementation by the business world is still rare. This study analyzes the potential environmental impacts and large emissions resulting from the supply chain traffic light (production and distribution) of traffic lights in two aspects at company in Sidoarjo. This study is relevant to the urgency of the Sustainable Development Goals (SDGs) number 13, Climate Action. Which emphasizes climate change mitigation and environmentally friendly industrial innovation. Traffic light production and distribution were chosen because of their significant contribution to the company's operations, long production cycles, and high energy consumption. Life Cycle Assessment (LCA) was applied to evaluate carbon dioxide emissions and environmental impacts at each process stage. The results showed that the processing and maintenance sub-production had the highest environmental impact, so process optimization was needed. The largest impact in the production cycle was human toxicity water with a value of 4.51. To reduce environmental effects, it is recommended to apply environmentally friendly technologies and optimize raw materials, such as the use of aluminum scrap and water recovery systems. These findings are expected to contribute to emission mitigation strategies and the formulation of sustainable policies for the traffic light manufacturing industry