Case Study In Indonesia Research Articles

Moving from an integrated coastal management approach to a transdisciplinary coastal management approach: A review of case study in Indonesia

Coastal areas, small islands, and oceans play a vital role in the Earth’s support systems, harboring rich biodiversity. However, human activities, both direct and indirect, pose significant threats to these ecosystems. In rural regions, traditional coastal area management practices like sasi, awig-awig, sea commanders, and establishing prohibited areas are often utilized. As communities evolve and activities intensify, management strategies have shifted from community-based approaches to sectoral management, which has proven ineffective in ensuring resource sustainability.The concept of Integrated Coastal Management (ICM) emerged in the early ’90s as a collaborative approach involving various sectors, disciplines, and communities. Unfortunately, initial attempts at ICM encountered challenges and failed to adequately sustain resources and ecosystems. In response, a transdisciplinary approach to natural resource management has gained traction, focusing on holistic and sustainable solutions.This paper aims to review Indonesia’s experiences in coastal and small island management, drawing insights from existing literature. It highlights the need for transdisciplinary research to address complex coastal challenges effectively. By integrating diverse perspectives and knowledge domains, transdisciplinary approaches can enhance the sustainable management of coastal areas and support ecosystem resilience.

Human Rights and Religious Intolerance of Mixed Marriages: A Case Study of Indonesia

Human Rights and Religious Intolerance of Mixed Marriages: A Case Study of Indonesia

Integrative analysis of diverse hybrid power systems for sustainable energy in underdeveloped regions: A case study in Indonesia

<abstract> <p>There is a goal for practical renewable electrification and renewable energy investments in underdeveloped regions. Indonesia's experience underscores the complexities and challenges in implementing such projects effectively. A study on the effects of various socio-economic factors on Carbon dioxide (CO<sub>2</sub>) emissions in Indonesia highlights the significant impact of forest area, urbanization, and industrialization on carbon emissions. A hybrid system consists of PV, a Biogas Generator, and a Wind Turbine that are successfully deployed. However, no economic analysis has been conducted to obtain the best configuration of the hybrid system. We propose to delve into the effective integration combination of hybrid power systems. In this study, we thoroughly analyzed hybrid power systems in underdeveloped areas using the HOMER software. We examined five different hybrid system configurations: Solely biogas, complete generator integration, a biogas and hydrogen combo, biogas coupled with a PV system, and biogas combined with a wind turbine. Our findings indicated varying levels of economic viability, operational performance, and environmental impact across the configurations, providing crucial insights for policymakers and stakeholders in underdeveloped regions like Indonesia. The results showed the Wind-Hydrogen and Hydrogen Only schemes as the most cost-effective, with a Total Net Present Cost (NPC) of, 969.27 and Levelized Cost of Energy (LCOE) at zhongwenzy.218. Moreover, while CO<sub>2</sub> emissions were similar across all schemes, around 27,744 kg/year, the All-Generator scheme had slightly higher emissions at 27,667 kg/year but led in electricity production with 29,101 kWh/year. These results underscore the importance of balancing cost, energy output, and environmental impact in hybrid power system schemes for underdeveloped regions.</p> </abstract>

Participatory Social Action in Addressing the Impacts of Climate Change, a Case Study in Indonesia

This study explores the philosophical underpinnings of addressing climate change. Three journals were examined, covering issues of climate change impacts, the second discusses mitigation efforts, and the third focuses on Indonesia’s diplomacy in reducing greenhouse gas emissions. Using NVivo software, qualitative analysis maps social action for climate change adaptation in Indonesia. The study includes a case analysis of five villages under the Climate Village Program (PROKLIM), showcasing community engagement, education, and capacity building in adaptation and mitigation. Philosophical discussions encompass epistemology, coherence, correspondence, and pragmatism, linking past philosophical views. The research reveals comprehensive coverage of ontology, epistemology, and axiology across the journals, demonstrating strong correlation and coherence. Field-based evidence aligns with these philosophical approaches, illustrating successful social adaptation actions. Five main themes emerge: Climate Change, Development, Management, Policy, and Social Action. Recommendations highlight the need to measure the positive impacts of social actions on economic benefits, social-cultural capacity, and environmental quality, bridging the gap between theory and practice.

Recommendations for addressing quality issues of government rice reserve: Indonesia case study

Recommendations for addressing quality issues of government rice reserve: Indonesia case study

Workarounds arise from a brokerage structure in the organisation: Case study insights.

While research suggests that workarounds are generative mechanisms for an organisation's innovation, it remains unclear what organisational structure facilitates workarounds’ emergence. This study investigates the organisational structure that underpins workarounds to manifest. It examines four Indonesian case studies focusing on the units producing managerial reports, where workarounds are widely observable. Open coding is used to analyse interview texts. It finds that a brokerage structure creates workarounds: a “data” broker retrieves data from various sources, processes them, and transfers them to various stakeholders. Therefore, these insights contribute to workarounds research and practices regarding the workaround-enabled structure, which is previously unknown.

Development of Performance Assessment on Science Practicum Integrated with Automated Feedback to Measure Scientific Attitude in University: a Case Study in Indonesia

Development of Performance Assessment on Science Practicum Integrated with Automated Feedback to Measure Scientific Attitude in University: a Case Study in Indonesia

Techno-economic analysis of CO2 cryogenic distillation from high CO2 content gas field: A case study in Indonesia

Indonesia has natural gas reservoirs with high CO2 content, such as Natuna and Bojonegoro gas fields. Various technologies have been developed, including cryogenic distillation separation technology suitable for application to gas wells with high CO2 content. Cryogenic distillation separates CO2 with high purity according to the operating conditions and the CO2 dew point. Cryogenic distillation was simulated in this study to determine the purity of the CO2 and to compare the economic potential of each approach. The highest CO2 purity using CFZ technology is 98.72% in the Natuna, while the highest purity of CH4 using Pellegrini Distillation technology is 99.95% in the Bojonegoro. Economically, the Natuna and Bojonegoro estimates using the CFZ technology have a lower total annual cost than the Pelegrini distillation. However, CFZ technology has a lower CO2 capture cost than Pellegrini Distillation technology, 7.9 USD/tonne CO2 and 10.26 USD/tonne CO2. In other words, separation using the CFZ technology is more effective for gas fields with higher CO2.

Portrait of English Student in Learning Approaches: A Case Study for Indonesia And Thai Student

Portrait of English Student in Learning Approaches: A Case Study for Indonesia And Thai Student

KOMODIFIKASI FANDOM BLACKPINK DI INDONESIA

Fandom is a term used to describe activities that reflect the closeness between fans and their idols based on a particular cultural product. Advances in digital technology have made interaction between fandoms and their idols easier, enabling them to consume a variety of products issued by such idols. Unfortunately, fandom activity on digital media is often exploited in the form of collecting user data that is then exploited for commercial purposes. Sometimes, digital media consumption can even become a "job" that users do not realize, which ultimately benefits content providers and platforms. This research aims to explore how fandom exploitation happens in a Blackpink fandom case study in Indonesia. In data analysis, concepts such as "playbour" (the work done by fans in support of their idols), "datafication" (transforming activity into data), and "commodification" (converting something into commodity) are used as a framework. The process of fandom exploitation begins with an attempt to build emotional closeness between idols and fans. Idola is present in a variety of content, both music-related and non-musical. fandom data is obtained through various activities of digital media consumption and the formation of dedicated membership within the community. By leveraging the enthusiasm of the fans, capital owners and associates take further steps to maximize their profits. They can collaborate with a variety of brands that may not have a direct connection to music, but rely on idol popularity to boost their sales or brand image.

An Empirical Study on the Influence of Internal and External Factors on Port Enterprise Employee Performance: A Case Study in Indonesia

An Empirical Study on the Influence of Internal and External Factors on Port Enterprise Employee Performance: A Case Study in Indonesia

Presidential Candidate Slogans in the 2024 Indonesian General Election; Strategic Communication with Multi-Generational Characteristics

This study focuses on the use of slogans of the three presidential and vice-presidential candidates who will compete in Indonesia’s 2024 general election. This study maps how these slogans operate in the digital space of social media to capture the attention and votes of a cross-generational public in Indonesia. Discourse analysis is used in this study to discover the hidden meanings of texts, while taking into account the risk that these meanings may not be accurate. The researcher therefore limited the study to a specific time and space context, namely during the period leading up to the 2024 general election, and to an Indonesian case study only. The study found that slogans were chosen from popular diction, to make it easier to introduce the candidates’ profiles to the public. These slogans are also a special formula to shape public knowledge about the candidates’ vision and mission. This study holds the view that popularity and the massification process of promotional content still play an important role in the discourse distribution model in contemporary digital media. This connects the dialectic of discourse that occurs in a multi-generational society. In addition, this study also compares with the views of post-truth and post-factual politics with the assumption that the meaning generated from the use of slogans is not bound. Meaning is generated from highly subjective perceptions, so the role of promotion and massification of the chosen terminology still has an important role to influence audience perceptions and win votes from the active voting public.

A nexus between fiscal policy and inflation: a case study of Indonesia using SVAR model

A nexus between fiscal policy and inflation: a case study of Indonesia using SVAR model

A single-vendor multi-buyer inventory model with multiple raw material and quality degradation: A case study on agri-food industry

Managing degraded-quality materials in a supply chain with a single-vendor and multi- buyers is prevalent and critical in modern industry. This research addresses the single-vendor multi-buyer problem by incorporating multiple raw materials and quality degradation to maximize joint total profit (JTP). The proposed model utilizes the Whale Optimization Algorithm (WOA) for optimization, with empirical data derived from an agri-food industry case study in Indonesia. Experimental findings demonstrate the superior effectiveness of WOA compared to Chim optimization algorithm (ChOA), Genetic algorithm (GA), (GWO), Particle Swarm Optimization (PSO), and heuristic algorithm in solving the single-vendor multi-buyer problem. Sensitivity analysis reveals noteworthy insights: increased demand boosts total profit and production cycle efficiency, while elevated shipping costs for finished products negatively impact JTP by reducing production efficiency. Moreover, escalating quality degradation rates decrease JTP and production cycle time. This study significantly contributes to optimizing single-vendor and multi-buyer operations by addressing multiple raw materials and quality degradation, offering valuable insights into sensitivity analysis for critical factors in the agri-food industry.

Environmental–Economic Analysis of Multi-Node Community Microgrid Operation in Normal and Abnormal Conditions—A Case Study of Indonesia

This paper presents a comprehensive analysis of the operation management of a multi-node community microgrid (MG), emphasizing power flow constraints and the integration of photovoltaic (PV) and battery systems. This study formulates MG operation management as a multi-objective optimal power flow problem, aiming to minimize costs (maximize profits) and emissions simultaneously. The multi-objective particle swarm optimization (MPSO) method is employed to tackle this complex optimization challenge, yielding a Pareto optimal front that represents the trade-offs between these conflicting objectives. In addition to the normative operation scenarios, this research investigates the robustness of the MG system in the face of abnormal situations. These abnormal scenarios include damage to the PV system, sudden increases in the MG load, and the loss of connection to the main electricity grid. This study focuses on Lombok Island, Indonesia as a practical case study, acknowledging the ongoing efforts to implement the community MG concept in this region. It is observed that when the access to the electricity grid is limited, the energy not served (ENS) increases to 2.88 MWh. During the fault scenario in which there is a 20% increase in the hourly load of each MG, a total of 4.5 MWh ENS is obtained. It is concluded that a resilient operation management system is required to ensure a consistent and reliable energy supply in community MGs in the face of disruptions.

Developing Machine Learning Model to Predict HVAC System of Healthy Building: A Case Study in Indonesia

Developing Machine Learning Model to Predict HVAC System of Healthy Building: A Case Study in Indonesia

Observation scale of space value for measuring successful shopping malls, a case study in Indonesia

ABSTRACT Establishing the value of retail space is the key to the success of shopping malls. The research in this field attracts attention, where the rented spaces have the same value to create the highest profit for tenants and shopping mall owners while providing convenience for visitors. The aim of this research is to verify the factors that form space value using scoring techniques on shopping malls in Indonesia. This research method uses triangulation with sequential and simultaneous approaches. Qualitative uses observational case studies followed by quantitative through assessment scales confirmed by expert practitioners shopping mall development. Jakarta and Surabaya were chosen as research areas with the highest population levels and the most shopping malls in Indonesia. The results show that three factors form space value: spatial layout, accessibility of space, and visitor visibility. Shopping malls in Indonesia are more dominated by one of the space value factors, while other factors are not so highlighted. These findings produce a scoring technique that can be used as an evaluation tool for implementing space value in shopping malls and pave the way for researchers interested in the retail property sector regarding strategic retail space planning, especially shopping mall development in developing countries.

Analysis of Potential Threats of NFTS (Non-Fungible Tokens) for National Security and Economic Resilience. A Case Study of Indonesia

Analysis of Potential Threats of NFTS (Non-Fungible Tokens) for National Security and Economic Resilience. A Case Study of Indonesia

Synergy of Work Environment, CEO Characteristics, and MSME Performance: A Case Study in Indonesia’s Clothing Industry

This research investigates the synergistic impact of the work environment and CEO characteristics on the performance of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia's clothing industry. The study explores the significance of these factors in enhancing MSME performance and aims to contribute both theoretically and practically to the understanding of these dynamics. Utilizing a quantitative research approach, the study analyzes data from 276 MSMEs in the clothing industry, employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results indicate a positive and significant influence of the work environment and CEO characteristics on MSME performance. The research provides valuable insights for policymakers, business leaders, and industry associations to optimize work environments and select CEOs with specific attributes to improve MSME performance.

Reconstruction of the Authority of the Financial Services Authority (OJK) in Supervision to Improve Value-Based Banking Policies in Justice (Case study in Indonesia)

Reconstruction of the Authority of the Financial Services Authority (OJK) in Supervision to Improve Value-Based Banking Policies in Justice (Case study in Indonesia)