252 research outputs found
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Evaluasi Produk Gendongan Bayi Menggunakan Metode Kansei Engineering
Get PDFThere are a lot of baby carrier types commonly found in Indonesia. Aside from the massively produced baby carriers with modern shapes and features, the traditional ‘kain jarik’ baby carriers are still an option to mothers in Indonesia. The research was conducted to evaluate the subjective perception of the consumers in choosing to use a baby carrier. An evaluation was done to see the factors that influence consumers to choose a certain product and their correlations to the products’ designs. Kansei engineering is used as a method to identify the emotional perception of a consumer to a baby carrier by means of a questionnaire involving 525 respondents. The identification process results in several Kansei words that were grouped and used as a stimulus to the questionnaires meant to evaluate 4 samples of baby carriers commonly used in Indonesia. The result showed that there are 3 main factors that encouraged consumers to pick a baby carrier, which are comfort, design, and material. Based on those 3 factors, consumers gave their highest scores to a kangaroo or wrap baby carriers
Studi Eksplorasi Faktor yang Mempengaruhi Keberlanjutan Pemakaian Layanan Mobile Payment
Get PDFThis research explores some potential factors that affect the continuance intention of a mobile payment service. The trend of mobile payment services has been increasing since the last few years. The advancing technology of the internet and smartphone has been a supporting environment for the growth of this method. Many similar mobile payment services are offered in the community which results in a highly competitive business condition. The business owner who has put a high investment in this business will surely want to keep it running and even grow their product. Therefore, some knowledge of factors that can significantly promote the sustained use of their product to customers will be imperative. In this research, some existing models on the general repurchase intention concept and users’ continuance intention will be combined and tested to figure out some influential aspects to continuance intention concept. Seven factors are hypothesized to have direct and indirect effects. Data from 193 respondents are gathered and the results of the tested model shows perceived quality, perceived value, and brand preference subsequently influence the continuance intention. Further analysis is also conducted in this research to explain the relationship between factors as well as analysis of current mobile payment providers
Model Perilaku Partisipasi Warga di Bank Sampah (Studi Kasus di Bantul, DIY)
Get PDFThe increasing volume of waste in Bantul Regency is a problem that must be solved. One of the things that the Regency Government does is by promoting waste banks. From the existing waste banks, citizen participation is still low, so it is not significant enough to reduce the volume of waste disposed of at the Piyungan landfill. One of the factors identified is the low interest of residents to join the waste bank. For this reason, a study of citizens' behavior is needed so that they join the waste bank with a theory of planned behavior coupled with knowledge of how and what and knowledge of consequences factors. Data collection was carried out by distributing questionnaires to members of the garbage bank. The number of respondents was 1265 from 29 waste banks spread throughout Bantul Regency. The method of data analysis uses linear regression. Research shows that attitudes, perceived behavioral control, knowledge of how and what, and knowledge of consequences have positive and significant effects, both simultaneously and partially, on the intention of residents to join the waste bank. Intention is also a significant positive and significant effect on behavior
Supply Chain Performance Measurement Framework for Construction Materials: Micro Meso Macro
Get PDFProductivity is a challenge in the construction industry, commonly initiated by fragmentation. In addition, some work levels have been identified, including the micro, meso, and macro. However, the construction supply chain is one of the possible solutions adopted to increase productivity. The purpose of this study, therefore, is to develop a framework for measuring supply chain construction performance at the micro, meso, and macro levels. These respective stages are tiered from the bottom to the top level as a supply chain management concept. Furthermore, a design for the supply chain performance measurement framework is created, followed by formulation with KPI, and the consequent application in the project. Therefore, performance is evaluated based on the construction materials, as a large resource. The results identified the supply chain performance at the micro-level as the basis for possible measures between contractor and supplier, using the SCOR. However, the emphasis was made on the strength of construction companies with large suppliers at the meso level. Meanwhile, the macro-level includes the accumulation of related measurements from micro as well as meso, and are consequently used to define the relationship between construction actors at the national level
The Effect of Digital Talent on Individual Innovation Behavior, Skills of Revolution Industry 4.0 as Mediator Variables
Get PDFIn the face of the Revolution industry 4.0, global connection, artificial intelligence, and automation have disrupted technology. This made the industrial world's development in work competition, not linear and even created new jobs. Digital talent and innovation are needed to face the world of work. This study discusses the construct effect between digital talent, individual innovation behavior, and Skills Revolution Industry 4.0, and the effect of Skills Revolution Industry 4.0) as a mediator to digital talent constructs' relationship. Data collection is obtained directly (face to face). Samples were previously clustered by sampling technique. Questionnaires use the Likert Scale. Then, the data gotten were processed by SEM-PLS with Software 3.8.2. The result showed that digital talent has a positive effect on individual innovation behavior. This meant that skill of revolution industry 4.0 as a construct mediator was successful. The stronger digital talent influences, the stronger individual innovation behavior influences, and it is accelerated with revolution industry skills 4. This study proposes a model to build mastery of digital talent and individual innovation behavior of Universitas Andalas students through the mastery of skills of revolution 4.0 as a mediator. This research can pave the way to improve students' readiness in facing the world of revolution 4.0, one of which is in the field of digital innovation
The Influence of Stress on Industrial Operator’s Physiology and Work Performance
Get PDFElevated stress has been widely associated with physical and physiological threats as well as reduced work performance. However, there is still a lack of studies that investigate whether stress influences concurrently physiological and objective work performance. The purpose of this study is to examine whether workers’ level of stress or negative emotional symptoms correlates with their physiological coherence and work performance. Eighteen female operators who reported high severity levels of stress, assessed using the Depression, Anxiety, and Stress Scale (DASS-42) were categorized as the risk group. The comparison group was formed by randomly selecting 18 of 99 female workers who had significantly lower DASS scores. Both participants attended one session of physiological measurement. Their work performance was observed by calculating their cycle time completing a product during five workdays. A significant difference in HRV between the two groups was also found in physiological and work performance measures. The results showed that workers in the risk group obtained significantly lower coherence levels and longer work cycle time than the control participants, indicating that negative emotional symptoms were parallel with physiological coherence and work performance. However, a weak correlation was found between work performance and negative emotional symptoms as well as physiological coherence. Despite the study limitations, our findings support to evidence the more complete picture of how stress affects female worker’s physiology and work performance, suggesting a need to implement effective workplace stress intervention. Further study is needed to be conducted among different group characteristics such as male and occupational settings
A Decision Support System to Achieve Self-Sufficiency of Soybean (Case: Central Java Province, Indonesia)
No full textSoybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user interfaces. The simulation and system modeling is created by using Powersim software with the intent to obtain the simulation and single document interface (SDI) of the supply chain model. The result shows that land expansion policy is a top priority for realizing food self-sufficiency while increasing productivity and reducing costs of agricultural activities are the main priorities for improving the welfare of farmers
Hubungan antar Hambatan Green Supply Chain Management (GSCM) pada Industri Kelapa Sawit di Indonesia
Get PDFThe palm oil industry as an important industry in Indonesia is demanded to conduct business in a sustainable way, including the implementation of green supply chain management (GSCM). However, in order to implement GSCM in the oil palm industry there are many barriers, but not yet comprehensively formulated what the barriers are and how to eliminate it. This study aims to identify barriers GSCM in the palm oil industry in Indonesia, to model the relationship between GSCM barriers and to classify any of it to the palm oil industry in Indonesia using the MICMAC approach. The interpretive structural modeling method was used in this study, where the stages began with a literature study to obtain GSCM indicators of the palm oil industry in Indonesia, then breakdown to get the barriers. The structural self-interaction matrix (SSIM) is then structured based on contextual relationships between obstacles by experts who have worked in the palm oil industry. Furthermore, SSIM is converted into a binary matrix. To get the level of each barrier, the level partitions stage is used to developing a chart and a model between the GSCM barriers in the palm oil industry in Indonesia. This research resulted in 15 GSCM barriers in the palm oil industry, then arranged into a 6-level model of GSCM barriers and divided into four clusters. The implication of this research is the addition of knowledge about GSCM especially the palm oil industry. While managerially giving direction on the strategy to eliminate GSCM barriers in the palm oil industry
Sequential Routing-Loading Algorithm for Optimizing One-Door Container Closed-Loop Logistics Operations
Get PDFOne-door container type of vehicle is the main tool for urban logistics in Indonesia which may take the form of truck, car, or motorcycle container. The operations would be more effective when it is performed through pickup-delivery or forward-reverse at a time. However, there is difficulty to optimize the operation of routing and container loading processes in such a system. This article is proposing an improvement for algorithm for sequential routing- loading process which had been tested in the small datasets but not yet tested in the case of big data set and vehicle routing problem with time windows. The improvement algorithm is tested in big data set with the input of the vehicle routing problem with time windows (VRP-TW) using the solution optimization of the Simulated Annealing process with restart point procedure (SA-R) for the routing optimization and Genetic Algorithm (GA) to optimize the container loading algorithm. The large data sets are hypothetical generated data for 800-2500 single-sized products, 4 types of container capacity, and 100-400 consumer spots. As result, the performance of the proposed algorithm in terms of cost is influenced by the number of spots to be visited by the vehicle and the vehicle capacity. Limitations and further analysis are also described in this article
Model Hubungan Antar Pemangku Kepentingan dalam Koordinasi Penanganan Bencana di Kota Padang
Get PDFPadang, capital of West Sumatera, is one of a disaster-prone area in Indonesia which was impacted the most by 2009 earthquake disaster. After seven years passed, The Regional disaster management agency of West Sumatra stated that the coordination between relevant government agencies in disaster management was still lacking. Associated with such issue, this research proposes to model an appropriate stakeholder’s coordination scheme based on the concept of 3PR (public, private, and people relationship). After all candidates of stakeholder are considered, a successful indicators of disaster response are identified. Using fuzzy AHP, the indicators were weighted based on their relative importance, and the traffic light system was applied to screen the weighted indicators. Finally, the role of each stakeholder was then identified and charted using the interpretive structural model (ISM). The proposed relationship model in disaster management coordination in Padang City consists of two levels. The first level consists of five stakeholders, namely Semen Padang, Insurance, Muhammadiyah, LPP TVRI, and Andalas University. The second level consists of three stakeholders, namely BPBD Kota Padang, Padang City Social Service and Padang City Health Office. Based on the above mapping, public sectors hold the biggest responsibility in the coordination of disaster management while the private sector and people as a supporter in the success of disaster management activities in the city of Padan