Spektrum Industri

Analysis of Visitor Perceptions of Malang City Thematic Parks using a Text Mining Approach

2025-02-24T09:13:34+00:00

Ruang Terbuka Hijau (RTH) play a crucial role in urban environments, not only supporting nature conservation but also fostering social interaction and contributing to economic growth. City parks, as representations of GOS, can be enhanced through thematic development and place branding to improve user engagement and functional value. This study aims to analyze visitor perceptions of thematic parks by identifying high-frequency keywords extracted from user-generated reviews. Text mining techniques were employed using Term Frequency-Inverse Document Frequency (TF-IDF) and Term Frequency-Relevance Frequency (TF-RF) methods, followed by text summarization using Cosine Similarity and Maximum Marginal Relevance (MMR). These methods effectively process large volumes of unstructured data to reveal meaningful insights. The analysis focused on three parks with the highest number of reviews: Alun-Alun Kota Malang (945 reviews), Taman Merjosari (552 reviews), and Alun-Alun Tugu (462 reviews). Keyword analysis showed prominent terms such as ‘tugu’, ‘olahraga’ (sports), and ‘anak’ (children) under both TF-IDF and TF-RF methods, with TF-RF emphasizing more context-specific vocabulary. Results indicate that Alun-Alun Tugu is perceived as a comfortable space near government offices featuring a lotus pond, Taman Merjosari is recognized for its sports facilities, and Alun-Alun Malang is identified as a child-friendly park with fountains. The study offers place branding recommendations by analyzing word associations in summarized user feedback. This study can contribute valuable insights for governments, architects, and urban designers in developing thematic parks that better reflect and accommodate user preferences.

Determination of Cultural Tourism Development Strategy in the Special Capital Region of Jakarta Using the Dynamic Model Method

2024-09-28T07:17:38+00:00

DKI Jakarta has great potential for tourism development, but it has some shortcomings, especially in cultural tourism, particularly museums. The potential for tourism development can be further enhanced with the increasing number of tourists. The increase in the number of tourists can have both positive and negative impacts. The positive impacts include increased regional income, GRDP, MSME income, and employment. The negative impacts include cultural filtration, environmental pollution, the risk of disease transmission, and so on. To bridge these issues, this research was conducted to obtain optimal strategies for the cultural tourism sector in DKI Jakarta to increase MSME income and Gross Regional Domestic Product (GRDP) of DKI Jakarta. This research develops a dynamic model to determine optimal strategy scenarios by considering MSME income and GRDP of DKI Jakarta using Powersim. Policy scenarios for the development strategy of cultural tourism in DKI Jakarta are formulated based on a combination of schemes determined from the variables created. These variables consist of GRDP, MSME income, and other supporting tourism sectors. The selection of the optimal strategy for the sustainable cultural tourism sector can be determined with scenarios of increasing and decreasing parameter values. The chosen scenario is a combination of parameter values based on the results obtained. The scenario of increasing parameter values can be chosen for MSME income and GRDP factors in DKI Jakarta, as it results in an increase of 5% and 0.008%, respectively.

Blockchain in the Food Supply Chain: A Literature Review and Bibliometric Analysis

2024-11-04T07:31:02+00:00

The food supply chain, a complex network of interconnected systems, faces numerous challenges, including food safety, traceability, and sustainability. Blockchain technology, with its inherent properties of immutability, transparency, and security, offers a promising solution to address these challenges. This systematic literature review aims to explore the current state of research and identify emerging trends in the application of blockchain technology to food supply chains. A comprehensive search of the Scopus database yielded 825 articles published between 2017 and 2023. The analysis focused on 161 articles that met specific inclusion criteria. Key themes identified in the literature include traceability, sustainability, food safety, halal food, and circular economy. Blockchain technology offers the potential to enhance transparency, efficiency, and sustainability in the food supply chain by enabling real-time tracking, reducing food waste, and ensuring food safety. The bibliometric analysis revealed a growing research community, with India emerging as a significant contributor. International collaboration is crucial for advancing the field and sharing knowledge. Future research directions include interdisciplinary collaboration, standardization, security, consumer education, and scalability. This study contributes to advancing these research directions by providing insights that enable researchers and industry practitioners to harness the full potential of blockchain technology in fostering a more efficient, transparent, and sustainable food supply chain.

Economic Production Quantity Model under Back Order, Rework, Imperfect Quality, Electricity Tariff, and Emission Tax

2025-01-16T07:50:46+00:00

This study aims to develop a novel Economic Production Quantity (EPQ) model that integrates important sustainability and operational factors reorders, rework, imperfect quality, emission taxes, and variable electricity tariffs- by minimizing the total inventory cost while considering environmental and energy-related constraints. The model is formulated as an Integer Non-Linear Programming (INLP) problem, with two main decision variables: the total number of products produced in a cycle (y) and the maximum allowable reorder level (w). To solve this complex optimization problem, the Genetic Algorithm (GA) is used for its efficiency in handling non-linear and combinatorial problems. In addition, a sensitivity analysis is performed to assess the impact of various parameters on the total cost. Numerical experiments show that increasing emission taxes, electricity tariffs, and installation costs significantly increase the total inventory and production costs. In particular, higher emission taxes and electricity tariffs amplify the financial burden on manufacturers, underscoring the economic implications of environmental regulations and energy use. These findings emphasize integrating operational and ecological considerations into production planning. This study contributes to the field by offering a comprehensive framework that supports sustainable manufacturing practices through cost-effective inventory management. The proposed EPQ model enables manufacturers to balance economic performance and ecological responsibility, aligning operational strategies with sustainability goals and regulatory compliance.

Optimizing Container Repositioning Using a Sequential Insertion Algorithm for Pickup-Delivery Routing in Export-Import Operations

2025-04-15T04:18:38+00:00

The increasing number of empty containers significantly causes to traffic congestion and rising operational costs, thereby necessitating the development of an optimized routing model to enhance fleet utilization and minimize transportation expenses. This study focuses on optimizing container repositioning for pick-up and delivery operations using a heuristic approach derived from the Vehicle Routing Problem with Pick-Up and Delivery and Time Windows (VRPPD-TW). The proposed model employs a sequential insertion algorithm grounded in a mathematical framework and implemented in Python. Its accuracy is validated through manual calculations that correspond with the algorithmic steps. The objective is to minimize vehicle usage within the defined time constraints. This empirical study involves six nodes: a garage, two depots, two external container depots, and a port terminal, which handle the daily relocation of 44 containers for export-import activities. The model successfully reduces the number of trips from 37 to 6, demonstrating substantial optimization. The results show that the sequential insertion algorithm effectively solves the VRPPD-TW by enhancing solution space exploration, balancing workloads, and adapting to dynamic constraints. Managerial implications include a 75% reduction in fleet requirements and increased logistical efficiency. This research contributes a practical approach with the potential to lower operational costs and mitigate congestion by improving fleet utilization. However, the model has notable limitations, such as the exclusion of dynamic truck queuing times at each node and unresolved issues related to computational scalability.

The Analysis of the Digitalization Role on Towards Supply Chain Resilience and Sustainable (Case Study: MSME in Balikpapan City)

2024-09-07T02:53:52+00:00

The COVID-19 pandemic has caused significant changes in almost all sectors, including disruptions in the global supply chain. Acceleration of supply chain recovery to create supply chain resilience and sustainability by implementing various strategies, including digitalization. Empirical evidence is still very limited in the literature, especially in studies involving supply chain actors from MSMES with different characteristics and locations. Therefore, this study aims to address this problem by analysis the role of digitalization in improving supply chain resilience and sustainability based on a case study of MSMES in Balikpapan City. Three hypotheses have been proposed to answer the research problem. This study uses the Structural Equation Modelling (SEM) approach with the help of IBM AMOS software version 22 for hypothesis testing. Questionnaires were distributed to 200 MSME actors with different characteristics in Balikpapan City. The results are: (1) the role of digitalization has a significant positive effect on supply chain resilience; (2) the role of digitalization has a positive effect on supply chain resilience; (3) supply chain resilience has a significant positive effect on supply chain sustainability. Despite the differences in characteristics of business models and business sectors, supply chain resilience and sustainability can be improved by using appropriate digital technology in each supply chain. The contributes of this study shows that there is a potential for good supply chain visibility that allows every actor along the supply chain to monitor, transfer, and improve the accuracy of decision making accurately and quickly, to handle any disruptions and improve supply chain sustainability.

Thermal Comfort Challenges in Construction: Evaluating the Role of Clothing Insulation and Physiological Responses

2025-03-24T03:54:03+00:00

Construction workers are frequently exposed to extreme outdoor temperatures, which impact their thermal comfort and physiological well-being. High air temperatures and inappropriate clothing insulation can lead to heat stress, reducing worker productivity and increasing health risks. This study aims to evaluate the relationship between clothing insulation, environmental conditions, and physiological responses to improve thermal comfort for construction workers. It contributes to the field by providing empirical data on how clothing insulation influences thermal comfort and physiological responses in a hot and humid construction environment. The findings highlight critical insights for ergonomic work wear design to mitigate heat stress. Data collected over four weeks at an active construction site. Environmental parameters, including air temperature, humidity, air velocity, and solar radiation, were measured using a weather station. Physiological responses, such as heart rate, core body temperature, and skin temperature, were monitored using wearable sensors. Subjective thermal comfort was assessed through structured questionnaires. Association between air temperature, clothing insulation, and skin temperature (p < 0.05). The average air temperature exceeded ASHRAE’s comfort range, and workers experienced increased physiological strain due to high clothing insulation values. Most workers reported discomfort, with 75% indicating that the thermal environment was unacceptable. The study also confirmed that ergonomic clothing adjustments, such as lightweight, breathable fabrics and cooling vests, could enhance thermal comfort and reduce heat stress. These findings emphasize the importance of optimizing work wear to improve construction workers' well-being. Future research should explore innovative materials and cooling technologies to enhance thermal regulation in extreme working environments.