Saputro T.E.,University of Muhammadiyah Malang |
Rouyendegh Babek Erdebilli B.D.,Atilim University
International Journal of Management Science and Engineering Management | Year: 2016
Warehouse operations are closely related to material handling activities. Loading, unloading, transporting and picking material constitute a huge part of the activities. In order to handle material properly as well as to contribute value to the material, the operator and the environment, utilizing Material Handling Equipment (MHE) is required. The selection of proper MHEs requires great focus since its consideration is linked to mutli-criteria and multi-objective decision making problems. Here, a hybrid method is proposed to address the MHE selection problem. An approach that integrates the entropy based hierarchical fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Multi-Objective Mixed Integer Linear Programming (MOMILP) is used for seeking the best alternative. The evaluation of alternatives is performed based on both subjective and objective criteria. Subjective weights are derived from a fuzzy Analytic Hierarchy Process (AHP). To deal with objective criteria, the entropy method is adopted to determine the weights, and the integrated weights are also calculated. The alternatives are rated by using fuzzy TOPSIS. For final execution of the selection, an MOMILP model is developed incorporating two goals, namely to minimize the disadvantage of material handling operation and to minimize the total cost of material handling. The AUGMented E-CONtraint method (AUGMECON) is used to solve the model. A case study is given to illustrate the method. The results show the effectiveness of the hybrid method in complex decision making. © 2015 International Society of Management Science and Engineering Management.
Cronemberger F.A.,University at Albany |
Sayogo D.S.,University of Muhammadiyah Malang |
Gil-Garcia J.R.,University at Albany
ACM International Conference Proceeding Series | Year: 2017
Boundary Objects (BO) have been avidly discussed in research, particularly in some fields such as organization theory. Nonetheless, insufficient attention has been given to its relevance to information sharing and integration in inter-organizational systems in the public sector. We use structural equation modeling (SEM) to scrutinize data from a National Survey conducted in the United States in 2008andlook for evidence of the mediating role of boundary objects in contexts of complex organizational interactions. This preliminary study reveals insights about the relativistic nature BOs as mediating structures and draws conclusions about its actual weight with respect to successful collaboration in inter-organizational information exchanges across public organizations. We conclude with a research agenda for the future. © 2017 ACM.
Tucker I.,Albany State University |
Gil-Garcia J.R.,Albany State University |
Sayogo D.S.,University of Muhammadiyah Malang
ACM International Conference Proceeding Series | Year: 2017
Overcoming data and information challenges in emergency response increasingly requires the use of collaborative data analytics (CDA). CDA represents the collaborative processes of various actors with different expertise and affiliations to jointly analyze data using advanced information technologies and sophisticated techniques. The purpose of this paper is to propose a preliminary framework to examine the factors and challenges pertinent to CDA in emergency situations. The framework proposed in this paper classifies the challenges and determinants of CDA into four broad categories: (1) skills-related, (2) organizational, (3) political, and (4) technological. The four components influence how CDA works and influence how each expert interacts with one another to analyze data, make collective decisions, and synthesize crisis learning. In turn, the lessons identified from crisis learning will be used to refine the data analysis process in the CDA effort. In addition, the processes and outcomes of CDA, as well as the resulting crisis learning, are affected by the type of crisis at hand. © 2017 ACM.
Mubin A.,University of Muhammadiyah Malang
Proceedings of the International Conference on Industrial Engineering and Operations Management | Year: 2016
Industrial sustainability currently becomes a very important issue, in line with the long term industrial development goal to build industry according to sustainable development concept. This research aims to design a sustainability performance measurement system of electronics and plastics industrial cluster with the approach of Sustainability Balanced Scorecard and Labuschagne model, and it determines the scenarios of industrial symbiosis application as a strategy for improving the sustainability performance, as well as measuring and evaluating the sustainability performance of the industry using Objective Matrix (OMAX) and Traffic Light System methods. Based on the strategic objectives and needs of the industries, 69 KPIs (Key Performance Indicators) and sub KPIs are determined, which covered the economic, environmental, and social perspective. The initial results obtained from measurement and assessment of sustainability performance by using 3 samples of the industry; the value of each industry A 4.28 (good), B 5.26 (good), and C 4.14 (good). Results of scenario I, II and III of industrial symbiosis application deliver improved sustainability performance on average respectively 52%, 75% and 87%. Thus, it needs the policy for encouraging the application of industrial symbiosis systems in order to improve the sustainability performance of the industry in the industrial estate. © IEOM Society International. © IEOM Society International.
Zulfatman,University of Muhammadiyah Malang |
Marzuki M.,University of Muhammadiyah Malang |
Mardiyah N.A.,University of Muhammadiyah Malang
IOP Conference Series: Materials Science and Engineering | Year: 2017
Two-link flexible manipulator is a manipulator robot which at least one of its arms is made of lightweight material and not rigid. Flexible robot manipulator has some advantages over the rigid robot manipulator, such as lighter, requires less power and costs, and to result greater payload. However, suitable control algorithm to maintain the two-link flexible robot manipulator in accurate positioning is very challenging. In this study, sliding mode control (SMC) was employed as robust control algorithm due to its insensitivity on the system parameter variations and the presence of disturbances when the system states are sliding on a sliding surface. SMC algorithm was combined with linear matrix inequality (LMI), which aims to reduce the effects of chattering coming from the oscillation of the state during sliding on the sliding surface. Stability of the control algorithm is guaranteed by Lyapunov function candidate. Based on simulation works, SMC based LMI resulted in better performance improvements despite the disturbances with significant chattering reduction. This was evident from the decline of the sum of squared tracking error (SSTE) and the sum of squared of control input (SSCI) indexes respectively 25.4% and 19.4%. © Published under licence by IOP Publishing Ltd.
Kurniawardhani A.,Islamic University of Indonesia |
Minarno A.E.,University of Muhammadiyah Malang |
Bimantoro F.,University of Mataram
2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 | Year: 2017
Improved Completed Robust Local Binary Pattern is one of the robust texture extraction for image retrieval that rotation invariant (ICRLBP). ICRLBP has proven that can increase the precision, recall, and computation time from its previous work by 21.14%, 20.03%, and 56 times, respectively, on four different texture image dataset. ICRLBP, however, has a lot of feature, thus require more time during recognition process. Moreover, it leads to high time consuming and curse of dimensionality. To overcome those issues, in this paper, we try to reduce insignificant or unnecessary ICRLBP attributes and examine the effect of reducing number of attributes on precision and recall of the retrieving images. The methods we used to reduce the ICRLBP attributes are Correlation-based Feature Selection (CFS) and Pearson's-based Correlation. The experiment results show that those feature selections not only can reduce number of attributes but also can improve precision, recall, and computation time. For S-M-C feature (sign, magnitude, and center features of ICRLBP are ploted on histogram jointly), CFS can reduce up to 95% number of attributes and improve precision, recall, computation time up to 7.5%, 7.1%, 11.42 times, respectively. For M-C feature (magnitude and center features of ICRLBP are ploted on histogram jointly), CFS can reduce up to 4.2% number of attributes and improve precision, recall, computation time up to 4.2%, 4%, 1.1 times, respectively. It indicated that Correlation-based Feature Selection (CFS) and Pearson's-based Correlation can reduce the ICRLBP attributes effectively. © 2016 IEEE.
Sukorinia H.,Kasetsart University |
Sukorinia H.,University of Muhammadiyah Malang |
Sangchote S.,Kasetsart University |
Khewkhomc N.,Kasetsart University
Postharvest Biology and Technology | Year: 2013
The use of bio-fungicides and a plant extracts to control postharvest disease was investigated as an alternative to chemical control. The combination of a promising plant extract and yeast were selected through in vitro and in vivo techniques. A combination of Candida utilis TISTR 5001 and Eugenia caryophyllata crude extract was the best combination to attain a reduction in disease incidence and disease severity of Penicillium digitatum on citrus fruit. Colonization was the lowest on fruit treated with the combination of E. caryophylata crude extract and C. utilis TISTR 5001, and survival of C. utilis TISTR 5001 was the highest. The combination of E. caryophylata crude extract and C. utilis TISTR 5001 significantly reduced the natural development of green mold of citrus fruit, and had no effect to fruit quality. The active compound of E. caryophylata was found to be eugenol, based on HPLC and NMR (1H and 13C). Hence, the results indicate that a combination of plant extracts and yeasts posses antifungal activity that can be exploited as an ideal treatment for future plant disease management. © 2013 Elsevier B.V.
Masudin I.,University of Muhammadiyah Malang |
Saputro T.E.,University of Muhammadiyah Malang
IOP Conference Series: Materials Science and Engineering | Year: 2016
In today's technology, electronic trading transaction via internet has been utilized properly with rapid growth. This paper intends to evaluate related to B2C e-commerce website in order to find out the one which meets the usability factors better than another. The influential factors to B2C e-commerce website are determined for two big retailer websites. The factors are investigated based on the consideration of several studies and conformed to the website characteristics. The evaluation is conducted by using different methods namely fuzzy AHP and hierarchical fuzzy TOPSIS so that the final evaluation can be compared. Fuzzy triangular number is adopted to deal with imprecise judgment under fuzzy environment. © Published under licence by IOP Publishing Ltd.
Garside A.K.,University of Muhammadiyah Malang
Proceedings - Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering, ICEVT 2015 and IMECE 2015 | Year: 2015
The purpose of this research is to validate logistics service quality (LSQ) scale proposed by Mentzer, Flint, and Kent (MFK) to measure logistics service provided by 3PL provider in East Java, Indonesia. This research uses confirmatory factor analysis (CFA) to validate the LSQ scale. In the CFA model, LSQ as second order construct consist of 9 first order constructs and 25 items scale. Based on the evaluation done by 115 logistic managers from manufacturing industries in East Java, the LSQ scale tested on US logistics managers is considered valid to the situation in East Java. Those nine first order constructs are information quality, ordering procedures, timeliness, order accuracy, order quality, order condition, order discrepancy handling, and personal contact quality has been proven to have significant impact to LSQ. © 2015 IEEE.
Minarno A.E.,University of Muhammadiyah Malang |
Suciati N.,Sepuluh Nopember Institute of Technology
Telkomnika (Telecommunication Computing Electronics and Control) | Year: 2014
Study in batik image retrieval is still challenging today. One of the methods for this problem is using a Color Difference Histogram (CDH), which is based on the difference of color features and edge orientation features. However, CDH is only utilising local features instead of global features; consequently it cannot represent images globally. We suggest that by adding global features for batik image retrieval, precision will increase. Therefore, in this study, we combine the use of modified CDH to define local features and the use of Grey Level Co-occurrence Matrix (GLCM) to define global features. The modified CDH is performed by changing the size of image quantisation, so it can reduce the number of features. Features that are detected by GLCM are energy, entropy, contrast and correlation. In this study, we use 300 batik images which consist of 50 classes and six images in each class. The experiment result shows that the proposed method is able to raise 96.5% of the precision rate which is 3.5% higher than the use of CDH only. The proposed method is extracting a smaller number of features; however it performs better for batik image retrieval. This indicates that the use of GLCM is effective combined with CDH.