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.
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.
Sayogo D.S.,University of Muhammadiyah Malang |
Wang S.,Wuhan University |
Yuli S.B.C.,University of Muhammadiyah Malang
ACM International Conference Proceeding Series | Year: 2016
Public participation has been less than ideal in many government-implemented ICT initiatives. Extant studies highlight the importance of public libraries as an intermediary between citizens and government. This study evaluates the role of public libraries as mediating the relationship between citizens and government in support of an open government environment. Using data from a national survey of "Library and Technology Use" conducted by PEW Internet in 2015, we test whether a citizen's perception of public values provided by public libraries influence the likelihood of the citizen's engagement within open-government environment contexts. The results signify a significant relationship between certain public values provided by public libraries with the propensity of citizens engaging government in an online environment. Our findings further indicate that varying public values generate different results in regard to the way citizens are stimulated to use public libraries to engage with government online. These findings imply that programs designed and developed to take into account a variety of values are more likely to effectively induce citizen engagement in an open government environment through the mediation of public libraries. © 2016 ACM.
Saputro T.E.,University of Muhammadiyah Malang |
Masudin I.,University of Muhammadiyah Malang |
Rouyendegh B.D.,Atilim University
International Journal of Production Research | Year: 2015
This paper presents a review on selection problem of material handling equipment (MHE) and general equipment used in industry area. The issue on MHE is widely paid attention since MHE has contribution on material, good and product accomplishment. Few methods and softwares have been proposed and developed to select the most appropriate MHE for a complex selection problem. Today's high diverisity of MHE categories and types influence the generation of many possible choices which leads to the complexity. In this paper, a further discussion in terms of MHE and equipment including three major points namely level of selection, the context of selection problem and the approaches are served to highlight the complex MHE selection according to the number of possible choices provided, to analyse the consideration for the problem context, and to reveal the superior method for complex MHE selection. Forty-two papers collected from the past study are presented asscociating each point of the discussion. © 2015 Taylor & Francis.
Pantiwati Y.,University of Muhammadiyah Malang
Media Peternakan | Year: 2012
This study was aimed at comparing the influence of anti bZP3's passive immunization on anti-anti bZP3's titer and pregnancy level on Wistar rats and mice. This study employed factorial design experiment with completely randomized design. The first factor was immunogenic type. The treated rats were immunized with 100 μL anti bZP3 in 100 μL Complete Freund's Adjuvant (CFA), while the treated mice were injected with 50 μL anti bZP3 in 50 μL CFA. Control Wistar rats and mice were immunized with CFA and Incomplete Freund's Adjuvant (IFA) without anti bZP3. The second factor was animal type. The third factor was the length of serum incubation, i.e. 38, 49, 63, 86, 100, and 126 d. Dot blot on the treated Wistar rats and mice showed positive response proven by blue gradation; pre-immune mice as well as control Wistar rats and mice showed negative response proven by white gradation. The highest antibody titer in treated mouse serum was shown in 63 d incubation. The pregnancy on treated mice, control mice and Wistar rat occurred 100% until day 126; while the failure percentage on the treated mice was 4.5%. The pregnancy on treated mice occurred in 86 d incubation (1 rat), 100 d incubation (1 rat), and 126 d incubation (3 rats). Effective passive immunization on similar hospes occurred until day 63; while different hospes was ineffective. Antibodi anti-bZP3 was potential as a contraception through passive immunization on similar hospes.
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.
Basuki S.,University of Muhammadiyah Malang |
Purwarianti A.,Bandung Institute of Technology
International Journal on Electrical Engineering and Informatics | Year: 2016
This research has proposed a method to decompose complex factoid question into several independent questions. The method comprises four stages: (1) classifying input question into several categories such as sub-question, coordination, exemplification, or double question, (2) generating all possible question boundary candidates, (3) selecting the best question boundary, and (4) performing the question decomposition rule using the best question boundary. This study compared several machine learning algorithms in the first stage (complex factoid question classification) and third stage (question decomposition boundary selection). The features used in the classification are specific word lists with its related information including the syntactic features of POS (Part of Speech) tag. For the experiments, we annotated 916 sentences for training data and 226 sentences for testing data. The perplexity of the annotated corpus achieved 1.000586 with 307 Out of Vocabulary (OOV). The complex factoid question classification accuracy reached 93.8% with Random Forest algorithm. The question decomposition boundary selection accuracy achieved 93.80% for sub-question (using Random Forest algorithm), 86.11% for double question (using Random Forest algorithm), 88.23% for coordination (using SMO), and 60.87% for exemplification (using kNN, NB, and RF). A revision rule was provided for the question decomposition boundary selection that improved the accuracy into 97.22% for double question, 94.11% for coordination, and 65.21% for exemplification. © 2016, School of Electrical Engineering and Informatics. All rights reserved.
Kusuma W.A.,University of Muhammadiyah Malang |
Husniah L.,University of Muhammadiyah Malang
2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding | Year: 2015
Natural interaction is a form of human interaction with computers that shows human behavior towards computers. Kinematic presents the synthesis of three-dimensional computer graphics (3D) into the real world. Microsoft Kinect 3D sensor can help develop research in the field of kinematics by using RGB and depth images that can be used to improve the results of previous studies. Problems encountered in detecting kinematic is to determine the point features that will be used. The problems that exist in previous studies can be reduced by using the depth image generated by the Kinect. Depth image produces a simple shape that is used to simplify and accelerate the detection skeleton that can be used as features in the kinematic. Our method combines the advantages of the two methods, dilatation and star skeleton. Experiments show that our method efficiently and fast to extract the skeleton of a depth image that can be used as the kinematic features. © 2015 IEEE.
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.