Quality Aspect Research Articles

A novel mechanistic model for predicting shrinkage kinetics in plant-based foods by integrating solid matrix mobility and viscoelasticity

Deformation during drying is a major physical change influencing drying kinetics and final product quality. Therefore, accurate prediction of shrinkage kinetics is essential for determining the optimal drying conditions for these foods. Shrinkage kinetics is greatly influenced by their structural mobility (rubbery-glassy transition) and viscoelastic properties. The current deformation models lack a comprehensive integration of structural mobility and viscoelasticity concepts, resulting in limitation in attaining insights on physiochemical state variations and viscoelastic stresses developed during drying. In order to overcome this limitation, this study proposes a novel mechanistic shrinkage model that combines solid matrix mobility-based shrinkage velocity and viscoelasticity consideration, incorporating variable mechanical properties to simulate deformation arising from moisture loss and pressure gradient respectively. Comparison between predicted drying kinetics and shrinkage evolution with experimental observation yielded close agreement, achieving low mean absolute error values. As the drying process progressed, a distinct anisotropic shrinkage pattern emerged, which is attributed to varied structural mobility based on temperature and moisture distribution across the food sample. Notably, shrinkage driven by moisture loss significantly outweighed that induced by pressure, exerting a predominant influence on overall volume change. Furthermore, the model demonstrated heightened sensitivity to water transport parameters compared to mechanical factors, which indicates the significance of moisture dynamics in shaping the drying process. Combined consideration of physiochemical changes and viscoelastic concept in the developed deformation model extends new possibility towards optimizing the drying process as well as quality aspect evaluation.

Application of augmented reality navigation in oral surgery. A clinical trial.

Background. Augmented reality (AR) is a potential alternative for surgical navigation, as it can provide visualisation of various anatomical structures of maxilla-facial region.We have developed a specific platform for 3D model management and intraoperative AR-navigation during surgical procedures. Objective. The aim of this study was to evaluate the surgeons’ perceptions and usability of AR- navigation for most common surgical procedures in oral surgery. Materials and Methods. We performed a phantom study to determine the accuracy of the AR system in the maxillofacial region. Registration errors are typical in image-guided surgery were measured: Fiducial Registration Error (FRE), Target Registration Error (TRE), and Fiducial Localization Error (FLE). Thereafter we conducted a clinical trial with several surgeons performing surgical procedures on jaws using AR-technology. AR- navigation usability was evaluated with the User Experience Questionnaire (UEQ) (scores range from -3 to +3 for each scale). Results. Mean value of the Fiducial Registration Error was 0.9 mm with SD = 0.7 mm (95% CI 0.4–1.3 mm). Target Registration Error was 1.3 mm (SD= 0.5 mm, 95% CI 1.1–1.5 mm). Fiducial Localization Error was the most significant – 2.2mm (SD= 0.9, 95% CI 1.9–2.5 mm). The higher rankings in the UEQ were related to the novelty and excitement of using an AR-navigation in maxillofacial surgery. The pragmatic quality aspect explains the technical focus of perception to achieve goals in a product, system, or service design. Efficiency was expected to be slightly higher, but in our opinion this is due to the technical difficulties of the system for novel AR technology. Conclusion. Based on our results, accuracy of the AR system in the maxillofacial region and the user experience of the AR-navigation system for oral surgery is good enough.

Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production

AbstractNational Statistical Organizations (NSOs) increasingly draw on Machine Learning (ML) to improve the timeliness and cost-effectiveness of their products. When introducing ML solutions, NSOs must ensure that high standards with respect to robustness, reproducibility, and accuracy are upheld as codified, e.g., in the Quality Framework for Statistical Algorithms (QF4SA; Yung et al. 2022, Statistical Journal of the IAOS). At the same time, a growing body of research focuses on fairness as a pre-condition of a safe deployment of ML to prevent disparate social impacts in practice. However, fairness has not yet been explicitly discussed as a quality aspect in the context of the application of ML at NSOs. We employ the QF4SA quality framework and present a mapping of its quality dimensions to algorithmic fairness. We thereby extend the QF4SA framework in several ways: First, we investigate the interaction of fairness with each of these quality dimensions. Second, we argue for fairness as its own, additional quality dimension, beyond what is contained in the QF4SA so far. Third, we emphasize and explicitly address data, both on its own and its interaction with applied methodology. In parallel with empirical illustrations, we show how our mapping can contribute to methodology in the domains of official statistics, algorithmic fairness, and trustworthy machine learning.Little to no prior knowledge of ML, fairness, and quality dimensions in official statistics is required as we provide introductions to these subjects. These introductions are also targeted to the discussion of quality dimensions and fairness.

A model-driven, metrics-based approach to assessing support for quality aspects in MLOps system architectures

In machine learning (ML) and machine learning operations (MLOps), automation serves as a fundamental pillar, streamlining the deployment of ML models and representing an architectural quality aspect. Support for automation is especially relevant when dealing with ML deployments characterised by the continuous delivery of ML models. Taking automation in MLOps systems as an example, we present novel metrics that offer reliable insights into support for this vital quality attribute, validated by ordinal regression analysis. Our method introduces novel, technology-agnostic metrics aligned with typical Architectural Design Decisions (ADDs) for automation in MLOps. Through systematic processes, we demonstrate the feasibility of our approach in evaluating automation-related ADDs and decision options. Our approach can itself be automated within continuous integration/continuous delivery pipelines. It can also be modified and extended to evaluate any relevant architectural quality aspects, thereby assisting in enhancing compliance with non-functional requirements and streamlining development, quality assurance and release cycles.

Ultrasound- and Homogenization-Assisted Extraction of Cottonseed Oil Using Ethyl Acetate: Optimization and Evaluation of Oil Quality and Energy Aspect

Ultrasound- and Homogenization-Assisted Extraction of Cottonseed Oil Using Ethyl Acetate: Optimization and Evaluation of Oil Quality and Energy Aspect

A Novelty Model Employing the Quality Life Cycle Assessment (QLCA) Indicator and Frameworks for Selecting Qualitative and Environmental Aspects for Sustainable Product Development

The objective of this investigation was: (i) to develop a model that supports sustainable product development, considering the quality aspect and the environmental impact in the product life cycle, and (ii) to establish a framework to select the proportion of the share of these aspects during product development decisions. This research concentrates on achieving products that meet customer demand and have environmentally friendly life cycles. It also supports the implementation of design activities at an early stage of product development, positioning the share of quality in relation to environmental impact. The model is based on creating hypothetical prototypes of current products, and this approach concentrated on aggregating the quality (customer satisfaction) with life cycle environmental impacts (as in ISO 14040). The model was developed in five main stages, including: (i) defining product prototypes according to the modifications of quality criteria most desired by customers, (ii) assessing the quality of prototypes according to the Q quality index, (iii) prospective assessment of the environmental impacts of the life cycles of prototypes according to the LCA environmental index, (iv) methodical integration of the above-mentioned indicators into one quality and environmental indicator QLCA, and (v) analysis of possible production solutions and setting the direction of product development, taking into account both quality and environmental aspects. This research was extended with a sensitivity analysis of the QLCA indicator, after which a framework for selecting the proportion of the Q and LCA indicator’s share in product development decisions was established. The originality of this research is the ability of the developed model to facilitate eco-innovative product design and improvements while also selecting the share of qualitative and environmental aspects needed to develop sustainable products. The results provide a dynamic and effective tool for manufacturing companies; mainly designers and managers during qualitative and environmental prototyping of products commonly used by customers. The model will provide support in predicting a product that will be manufactured that will be satisfactory for customers and environmentally friendly based on LCA.

Analisis Manajemen Risiko Proyek dengan Metode Severity Index (SI) pada Proyek Pembangunan Gedung X Kota Surakarta

The construction of a high-rise building is a construction project that can be said to have high risk factors so that it will have a negative effect on the project schedule, quality, and costs needed. Project risk management analysis is needed to control risks and to determine risk handling to prevent the occurrence of dominant risks in construction projects. In this study, primary data collection was carried out by distributing questionnaires, while secondary data was obtained through data from projects and literature studies. The data obtained from the questionnaire will be analyzed for risk variables using the Severity Index (SI) method. Meanwhile, the risk level analysis uses the Probability Impact Matrix (PIM). The results of the analysis show that there is a dominant risk that has the most influence on the time aspect is the risk of delay in material delivery with a high level of risk. The dominant risk that has the most influence on the cost aspect is the occurrence of equipment damage while working with a medium risk level. The dominant risk that has the most influence on the quality aspect is that the quality of the material is not in accordance with the quality specifications with a medium risk level.

Service Quality in Planned Preventive Maintenance: A Preliminary Study at UiTM Campuses

Planned Preventive Maintenance (PPM) is an essential component under facilities management (FM) carried out to ensure the functionality, effectiveness, reliability and safety of the asset and facilities. Poor service quality, lack of monitoring and performance assessment, low level customer satisfaction are among issues arises and has gained a lot of attention, especially among interested parties. In Universiti Teknologi Mara (UiTM) campuses context, FM normally outsourced to third parties namely concessionaires under Private Finance Initiative (PFI) campuses and contractors for conventional campuses. The main objective of this preliminary study was to investigate current practices in terms of service quality aspect of PPM works delivered by concessionaires and contractors in UiTM. A questionnaire was distributed to 27 respondents consist of 12 engineers and 15 assistant engineers from Office of Facilities Management UiTM and analysed using descriptive analysis. Based on the results, current practice to measure PPM work performance is by the number of works completed. Apart from that, there is no defined standard method available to be used as performance measurement in the aspect of service quality of PPM works delivered by concessionaires and contractors in UiTM. In addition, all the respondents agreed that there is indeed a necessity to develop a standard performance measurement in the aspect of service quality of PPM works delivered by concessionaires and contractors. The impact of this finding is to the Office of Facilities Management UiTM, in which they can focus and start to develop standard performance measurement in the aspect of service quality of PPM works delivered by concessionaires and contractors, so the services provided commensurate with the payment made and satisfy customer needs.

Effects of antibacterial peptides from Brevibacillus texasporus on growth performance, meat quality and gut health of cultured largemouth bass (Micropterus salmoides)

The aim of this study was to investigate the effects of antibacterial peptides from Brevibacillus texasporus (BT) on the growth performance, meat quality and gut health of cultured largemouth bass (Micropterus salmoides). Largemouth bass (36.17 ± 1.52 g) were divided into 2 groups and each group was fed with diets supplemented with or without 200 ppm of BT peptides for 130 days. The results showed that BT peptides had no significant influences on growth performance and body indexes, but significantly enhanced total antioxidant capacity and lysozyme content in the serum. Moreover, digestive enzymes activities and intestinal villous height were also prominently increased. From meat quality aspect, no significant differences were found in nutritional components, amino acid composition, fatty acid composition and texture property, except the values of hardness, gumminess and γ-linolenic acid (C18:3n6) were remarkably increased after BT peptides intervention. Finally, the results of gut microbiota and short chain fatty acids revealed that BT peptides significantly decreased the relative abundances of harmful bacteria such as genus Acinetobacter and Pseudomonas, and increased the production of short chain fatty acids. In conclusion, this study confirmed that BT peptides could be used to improve the health of largemouth bass, which provided novel insights into the application of antimicrobial peptides in aquacultures.

Development of the holistic quality model and assessment – Integrating the economic quality aspect and establishing an extended interrelation analysis

A holistic understanding and careful balancing of different quality aspects can support sustainable, evidence-based decisions during the planning and realisation phases of a building. To this end, it is important to consider, whether and to what extent different quality aspects are interrelated in order to assess potential consequences of decisions. For this purpose, the Holistic Quality Model 2.0 is introduced, representing a second iteration of the Holistic Quality Model developed in recent studies. It incorporates two improvements. First, the integration of the economic quality aspect in addition to the technical, environmental and social quality aspects. Second, the development of an extended interrelations methodology to facilitate better identification and quantitative analysis of interrelations. These improvements and a corresponding case study emphasise the shift from the conventional practice of evaluating quality aspects in isolation towards a holistic approach enabling informed decision-making by considering and balancing different quality aspects.

Measuring Expenditure with a Mobile App: Do Probability-Based and Nonprobability Panels Differ?

Abstract In this case study, we examine a novel aspect of data collected in a typical probability and a typical nonprobability panel: mobile app data. The data were collected in Great Britain in 2018, using the Innovation Panel of the UK Household Longitudinal Study and the Lightspeed online access panel. Respondents in each panel were invited to participate in a month-long study, reporting all their daily expenditures in the app. In line with most of the research on nonprobability and probability-based panel data, our results indicate differences in the data gathered from these data sources. For example, more female, middle-aged, and highly educated people with higher digital skills and a greater interest in their finances participated in the nonprobability app study. Our findings also show that resulting differences in the app spending data are difficult to eliminate by weighting. The only data quality aspect for which we do not find evidence of differences between the nonprobability and probability-based panel is behavior in using the spending app. This finding is contrary to the argument that nonprobability online panel participants try to maximize their monetary incentive at the expense of data quality. However, this finding is in line with some of the scarce existing literature on response behavior in surveys, which is inconclusive regarding the question of whether nonprobability online panel participants answer questions less conscientiously than probability-based panel respondents. Since the two panels in our case study differ in more aspects than the sample selection procedure, more research in different contexts is necessary to establish generalizability and causality.

Evaluation of Drinking Water Service Achievement in Tanah Bumbu Regency, South Kalimantan

The issues with drinking water services in Tanah Bumbu Regency include the fact that service levels have not yet reached 100% adequacy and 15% safety as outlined in the RPJMN 2024, and the level of water loss remains high. The research aims to evaluate the achievement of drinking water services in Tanah Bumbu Regency, South Kalimantan Province. The study was conducted in Tanah Bumbu Regency, South Kalimantan Province. Sampling for community respondents utilized purposive sampling methods. Sampling for PTAM respondents employed purposive sampling methods, with 11 employees selected from the organizational structure of the office (head of general affairs and personnel; head of technical affairs; and head of each IKK unit). The evaluation results regarding the management of drinking water services in Tanah Bumbu Regency in terms of the 4K aspects (Quality, Quantity, Continuity, and Affordability) indicate that the quality aspect is still suboptimal due to limited funding for health department inspections, resulting in limited water sample collection at household connections. Regarding Quantity, the provision of drinking water services is prioritized in urban areas, while in rural areas, the operator (PTAM Tanah Bumbu) has not been able to meet the needs of the entire population of Tanah Bumbu Regency, both urban and rural, due to production capacity constraints. Keywords: Evaluation, Drinking water, Tanah Bumbu

Optimizing Three-Dimensional Trade-Off Problem of Time–Cost–Quality over Multi-Mode Projects with Generalized Logic

Clients typically tend to aim for reasonable prices, minimum possible makespans, and the best quality for the construction projects that they engage in. Evidently, weighing the available offers and coming up with an optimal decision can pose challenges for the decision makers. In this regard, the generation of a tool that helps decision makers strike a proper balance among the conflicting project objectives (i.e., time, cost, and quality) is imperative. To this end, this study proposes a method which assists in the selection of the best compromise choices among the options available for each of the project activities. In addition to the time and cost, the proposed method is designed to bring the quality aspect into the equation as well. To quantify the quality, a value referring to the weighted importance and performance of each activity is used. The proposed method is based on a modified multi-objective genetic algorithm (GA) that incorporates the domination concept for the selection of the best solutions out of the potential candidates. The GA-based method is capable of handling an unlimited number of precedence relationships for each activity, and above all, it is able to capture and unravel any type of logical relationship. This very feature significantly improves the practical relevance of this research, as the parallelization of activities is a common practice in real-life projects. Planners benefit from the various types of relationships (i.e., Start to Start, Start to Finish, Finish to Start, and Finish to Finish), and the concept of lag time frequently introduces parallelization into the network. Overlapped activities, in turn, help reduce the unwanted idle times and speed up the project significantly. Accordingly, in order to demonstrate the application and effectiveness of the proposed model, it has been used in the solution of four time–cost–quality (TCQ) trade-off problems, three of which are generated within the context of this paper. The practiced instances include a small benchmark TCQT problem with 18 activities taken from the literature in addition to more complex 29- and 63-activity TCQTPs produced herein based on benchmark time–cost trade-off problems. The performance of the presented approach is ultimately examined over a large-scale, real-case construction project with over four hundred activities and generalized logic in an unprecedented attempt to validate a model in the realm of TCQTPs. The successful results of the experiments reveal the effectiveness of the proposed model and corroborate the feasibility of its application by the planners amidst arduous decision-making processes.

Contextual Teaching and Learning-based E-Worksheet on Science Subjects for Fourth Grade Elementary Schools

Lack of motivation to learn students results in them being less focused on learning and less active during the learning process, which impacts low student learning outcomes, especially in the science and science learning process. A lack of innovative teaching materials mostly causes this or tends to be monotonous. Therefore, supportive teaching materials that are attractive in form and based on appropriate learning models are needed so that students are enthusiastic about learning and can think critically. One medium that is a solution is to use CTL-based E-Worksheet. This research aims to develop a CTL-based E-Worksheet for grade 4 elementary school science content. This research is a development research type with the ADDIE model. The research subject is CTL-based E-Worksheet media on class 4 science content. Data collection uses expert test instruments and trials. The data analysis technique calculates the percentage score for validation assessments and user responses. The research results show that the development of a CTL-based E-Worksheet for grade 4 science content meets very valid criteria from the quality aspect, with a detailed score of 93.775% from media experts, 95% from learning design experts, and 94.6% from learning content experts. The results of the student response test showed an increase from the pretest results, with an average score of 34.8%, to an average score of 84.8 on the students' post-test results. Based on these results, the CTL-based E-Worksheet teaching materials that have been developed are suitable for application in learning. This research implies that it presents CTL-based E-Worksheet learning media with grade 4 science content as a solution to problems in the student learning process.

Identification of Key Drivers for Performance Measurement in Sustainable Humanitarian Relief Logistics: An Integrated Fuzzy Delphi-DEMATEL Approach

Sustainable humanitarian relief logistics (SHRL) is gaining attention due to increased disasters, unpredictable demand, large volumes, high delivery stakes, and limited resources, evaluated through adaptable performance drivers. This study presents a novel hybrid framework for SHRL, combining the Fuzzy Delphi Method (FDM) and Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL). Initially, FDM is utilized to reach a consensus among experts concerning key performance indicators (KPIs) for humanitarian logistics and supply chains. By incorporating the inherent uncertainty and vagueness in expert judgments, FDM refines the list of key performance indicators that reflect the real-life conditions and constraints in disaster operations. Finally, the fuzzy DEMATEL approach was used to analyze the interrelationships among factors, identifying cause-and-effect behavior and ranking them, forming a robust theoretical framework. Based on the acquired results, the KPIs attached to the Quality (P1) aspect of the proposed framework have gained significant importance and are the main cause in a cause-and-effect relationship which impacts and is helpful to improve the performance of humanitarian organizations in all phases of disaster management. The KPIs prompt delivery (D1), and delivery accuracy (D2) are more significant, while capacity building and training (D19) and delivery compliance (D15) are least significant in SHRL scenarios. This research is expected to support humanitarian organizations in enhancing their capabilities, thereby improving the effectiveness and efficiency of aid delivery in disaster-stricken areas.

Can injecting additional green hydrogen result in environmentally friendly solar-biomass integration? Comprehensive comparison and multi-objective optimization

The present work proposes an innovative system for decarbonizing the energy mix and accelerating the worldwide green transition process. The system is driven by a biomass digester integrated with the supercritical carbon dioxide cycle for power generation and a multi-effect desalination unit for drinkable water production. At the heart of this concept is additional hydrogen injection through a proton exchange membrane electrolyzer based on photovoltaic panels. The suggested innovative model's techno-environmental, sustainability, and economic aspects are assessed and compared with a similar system without hydrogen injection. Then, a comparative multi-criteria optimization is applied to find the most optimal conditions from various facets based on the genetic algorithm with machine learning techniques. Afterward, the system’s performance at different optimal conditions is analyzed and compared by evaluating the most significant techno-economic, environmental, and sustainability indicators. The parametric assessment comparing different models indicates that the proposed novel model, including increased hydrogen injection, surpasses the basic system in terms of performance efficiencies, emissions, and energy costs. In the first optimization scenario, the proposed method demonstrates robustness by achieving higher water production of 1456 kg/s, a lower total cost of 118 $/h, and a higher net power of 1.1 MW than the design condition. When considering the sustainability index, energy cost, and emission metric as the optimization objective, their values are altered from 0.81 to 0.85, 92.5 $/MWh to 89.7 $/MWh, and 64.2 kg/MWh to 53.6 kg/MWh. The results further show that when prioritizing the sustainability index, energy cost, and emission as objectives, all components perform better from the energy conversion quality aspect compared to the scenario where water production, total cost, and net power are the optimization objectives. Finally, it is observed that the combustion chamber and solar panels are the worst components from the irreversibility aspect because of the highest exergy destruction rate.

Terminologiearbeit für das Gerichtsdolmetschen:

Knowing and collecting specialised terminology is part of legal translators and interpreters (LITs) daily work and professional competences. It is also an important quality aspect. In 2021, about 100 Austrian LITs participated in a survey aimed at collecting data on their knowledge of basic terminology principles and standards as well as their attitudes towards terminology work. Results show that terminology work is generally done under time pressure, rarely employing state-of-the-art tools, often disregarding terminological principles and without considering advantages related to data maintenance and exchange. The answers collected suggest that many LITs would benefit from hands-on training on tools and methods for sound and adequate terminology work targeted specifically at their professional group and activities.

Service Quality of Lubuklinggau Prison

This research aimed to determine the service quality, competency formation of officers, supervision, and motivation in Lubuklinggau Class II a Prison South Sumatra, Indonesia. The population and sample were 66 respondents from prison officers. This research used a qualitative descriptive approach. Based on the results on the perception of service quality, officers have provided services in the tangible (physical evidence), reliability, response, assurance (guarantee), and empathy aspects. This is in line with the survey on the perception of service quality with a score of 1.357 or in the good category, perception of competency with a score of 1.300 meaning in a good category supported by an increasing competency due to training and opportunities to continue formal education, on the perception of supervision with a score of 1.356 meaning in good category and on the perception of motivation with a score of 1.085 meaning motivation given by managers to officers in the good category. Of the four dimensions above, the dominant score was on the service quality aspect, so it is recommended to increase the service quality for prisoners and detainees in Lubuklinggau Class II a Prison to meet the needs that have been overcapacity

Comparative Analysis Between Self-management and Contractual System in Banjarmasin-banjarbaru Areas Housing Project (Reviewed from the Quality, Time, and the Customer Satisfaction Projects)

The success of implementing housing projects can be seen from the system used as a measure of the success of implementing housing projects. The performance of the housing project implementation project consists of several aspects, among others, can be viewed from the aspects of quality, time and customer satisfaction. The housing project implementation system in Indonesia generally tends to use a self-managed system and a contractual system. The method used in this research is descriptive analytic by using data collection through questionnaires and interviews. The research was conducted on 19 subcontractors with the same type of housing and structure in the Banjarmasin-Banjarbaru housing area. Processing and data analysis were carried out in several stages, namely validity and reliability testing, descriptive analysis and research hypothesis testing using the Independent Sample T-Test. The results obtained from the quality aspect obtained a significant value resulting from the difference test of 0.026 (p <0.05) that there is a significant comparison between the self-managed system and the contractual system in terms of quality aspects. The result of the Mean Difference value from the quality aspect is 6.90. From the time aspect, the significant value generated from the difference test is 0.06 (p> 0.05), so it can be concluded that there is no significant comparison between the self-managed system and the contractual system in terms of time. The result of the Mean Difference value from the time aspect is 5.14. The aspect of customer satisfaction obtained a significant value resulting from the difference test is 0.001 (p <0.05), so it can be concluded that there is a significant comparison between the self-management system and the contractual system in terms of customer satisfaction aspects. The result of the Mean Difference value from the aspect of customer satisfaction is 2.89. It can be concluded that in terms of quality, time, and customer satisfaction, self-managed systems have a higher average value than the contractual system. Keywords: Self-management systems, Contractual systems, Quality and Time Aspects, Customer satisfaction project

Strategy for Increasing Exports Through ICT Development and Potential Market Mapping: Case Study of Indonesia Labor Intensive Industries

Purpose: This research aims to specifically identify the role of ICT in the export performance of Indonesia's la-bor-intensive industries and Mapping potential market for Indonesia's labor-intensive industries export.
 Design/methodology/approach: The analysis was carried out by developing a gravity model and estimated using the Pseudo Poisson Maximum-Likelihood (PPML) and Generalized Method of Moment (GMM) methods as robust-ness tests.
 Findings: The estimation results show that ICT, both from the quantity aspect and the quality aspect, has a positive and significant impact on the volume of Indonesian exports. The results of this estimation have been proven to be consistent through several tests by controlling the problems of endogeneity, simultaneity, and auto-correlation.
 Research limitations/implications: The model developed in the study tends to interact with variables from both countries, namely Indonesia as an exporter country and a partner country for importing Indonesian products. The application of this kind of interaction causes the results of the interpretation to be unable to specifically explain the effect of variables in each country.
 Originality/value: This study discussed the impact of ICT through the quality and quantity aspects, this study also used product-level data, so the interpretation results more specifically explained the impact of ICT. Further analysis in this study also contributes significantly to identifying which partner has a potential market as the main destination of Indonesia's exports.