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<![CDATA[Sistem Penunjang Keputusan Untuk Menentukan Rangking Taraf Hidup Masyarakat Dengan Metode Simple Additive Weighting ]]>
<![CDATA[Daniel Rudiaman Sijabat, Anita ,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Poverty  is  a  global  problem  that  is  experienced  by  many  developing  countries,including Indonesia. One thing that has been done to overcome poverty is the provision of direct assistance to people living below the poverty line. However, the provision of assistance to the poor people are often not well targeted, because the data is inaccurate or not up to date. Another cause is the number of criteria that must be evaluated for the determination of poor people who deserve to get help. Use of Simple Additive Weighting (SAW) can facilitate the determination of the poor based on the criteria specified. SAW is one method used to solve the problem that has  many attributes (Multiple Attribute Decision Making).  In this study we developed a SAW-based Decision Support System that can assist in determining the eligible poor people to get help. With the help of this system, the distribution of  aid will be better targeted.]]>
<![CDATA[CROWDSOURCING WEB MODEL OF PRODUCT REVIEW AND RATING BASED ON CONSUMER BEHAVIOUR MODEL USING MIXED SERVICE-ORIENTED SYSTEM DESIGN ]]>
<![CDATA[Prastyo, Yuli Adam]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[AbstractThe existence ofinternetdrives many consumer behavior changes. Purchaseonline(e-commerce) isgrowing rapidlyled tothe assumption ofbehavioral changesprior tomaking a purchase. Consumerbehaviormodelsare5phasesfromneeds identification, information search, alternative evaluation, purchase decision, andpost-behavior. This model is phasesof before and after purchaseincludingonlinepurchasing behavior. Product informationhas spread on the internetin the form ofblogs, web commerce, orother. Buyer candidate needa lot of timetosearch product informationfrom previous users. Therefore, we need web as a bridge that canbring togetherthe information from experiencedusers and the need of product from buyer candidate.The concept ofcrowdsourcingis the right solutiontobethat bridge web.This studyaimedtofindthe crowdsourcingmodelof productreview andratingbasedon consumer behavior model. Research methodsinclude surveys,  interviewsand literature studies.  Results ofthe  research  is acrowdsourcingmodel ofwebof product reviewandrating using the concept ofa mixedservice- orientedsystem.This conceptis a blend ofSoftware-Based Services (SBS) and Human-Provided Services(HPS). The design ofthis model can be appliedin the developmentof web-based crowdsourcing.]]>
<![CDATA[Building a Spatio-Temporal Ontology for Artifacts Knowledge Management ]]>
<![CDATA[Daniel Oranova Siahaan, Nurul Fajrin Ariyanti,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[The knowledge that embedded in a historical artifact can have multidimensional information,such as time (temporal) and place (spatial) dimension. The temporal dimension indicates when the artifact had been used in the past, while spatial dimension points the location of people who had been using it at the time. Both of these information provide a general overview of the civilization conditions at the artifacts time. In most cases, the spatio-temporal information that attached to an artifact can be used to furnish the missing information of the other artifacts. If the  museum managers  are  able  to  connect  artifacts based  on  their spatio-temporal information, presenting artifacts historical value to visitors will be more continuous and complete. However, this kind of management needs could not be facilitated by any existing conventional database systems today. The author proposed an ontology approach for storing artifactsâ spatio-temporal information in digital form. This ontology is equipped with rules to perform reasoning thus spatio-temporal information among artifacts could be connected automatically. The result shows that the spatio-temporal ontology can be implemented in order to complete information linkage among the artifacts.]]>
<![CDATA[Relay Node Candidate Selection To Forwarding Emergency Message In Vehicular Ad Hoc Network ]]>
<![CDATA[Ericka, Johan]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Sending emergency message in VANET environment has been studied lately to improvetheir effectivity. Due to the absence of network infrastucture and vehicle movement, every packet must be send to itâs destination by multi-hop. By using wireless network means that packet will be transmitted as broadcast. Every vehicle in the sources signal range will get the data packet and it has to rebroadcasted. Unfortunately some researchers has been studied that rebroadcast data packet at the same time will lead into broadcast storm program.There are many technique was developed to overcome broadcast storm but the most reseach using forwarder candidate to avoid broadcsat storm. This reseach will studied how to choose forwarder candidate among others node to rebroadcast emergency message efficiently without causing broadcast storm. Every node will calculate its delay time depend on some calculated value before  rebroadcasting emergency message.  If a node  receive emergency message before itâs delay timeâs up then it will cancel the delay countdown dan will not broadcast emergency message. There will be one broadcaster at a time dan the data packet will activate or deactivate delay countdown]]>
<![CDATA[Decision Support on Supply Chain Management System Using Apriori Data Mining Algorithm ]]>
<![CDATA[Siska Diatinari Andarawarih, Eka Widya Sari, Ahmad Rianto,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Stock availability and stock completeness is important thing for a shop. Because of that,management process for stock managing is necessary to avoid stock flooding the same product or demand less by consumer. System also help manager to selling optimization high demand product. To solve this problem, need a system that help people to make decision about what kind and how much product should be available for next specific period. Apriori algorithm used to decide relationship between one product and the others. Apriori also used to decide what kind of product is high number of selling to customer. This information is very useful to do supply chain for each product. Criteria that used for determining solution on this system are transaction minimum support, product selling combination and number of selling product. Output  resulted  by system is  alternative solution  as  percentage  selling  product  and combination of selling product in one transaction. Minimum transaction used for system test is1000 transaction with 50 kind of product]]>
<![CDATA[BISECTING DIVISIVE CLUSTERING ALGORITHM BASED ON FOREST GRAPH ]]>
<![CDATA[Wahyu Catur Wibowo, Achmad Maududie ,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Clustering process aims to group all objects based on their proximity. K-Means is oneof clustering algorithms which is categorized as center-based clustering algorithm. In this algorithm, the value of k is an input parameter that has no prior information. If the k is too small then there is one or more clusters in the result that has a big SSE. To reduce the SSE, this kind of cluster has to be split in to two or more sub-clusters. This paper introduces a new method to split a cluster into two clusters (bisecting) based on minimum forest graph which is called Bisecting Minimum Forest Graph (BMFG). To measure the quality, we used two indicators, i.e. information gain and compactness-separation criterion. The result shows that this method gives a better performance compared with Forgy method. Based on the results, BMFG method produced a maximum purity of each cluster and a maximum consistency index for all the runs. On the other hand, Forgy method achieved the maximum consistency only on well distributed data. For CSC index, BMFG and Forgy methods yielded the similar results. However, for the dataset with relatively not well distributed (noisy), BMFG provided a better index of CSC.]]>
<![CDATA[Assessment of Implementation Health Center Management Information System With Technology Acceptance Model (TAM ) Method And Spearman Rank Test In Jember Regional Health ]]>
<![CDATA[Farlinda, Sustin]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Public  Health  Center  (PHC)  Management  Information  System  (SIMPUS/SistemInformasi Manajemen Puskesmas) is one development of information technology in  health information systems that are managed by the health department. Department of Health in Indonesia to develop this SIMPUS since 2010. Examples of Jember District Health Office has implemented the SIMPUS in each health center so that the processing of data in health centers and report to the Department of Health can be efficient and effective. The number of PHC in Jember are 49 and have implemented SIMPUS  are  15 health centers.  SIMPUS The purpose of this study was to assess the implementation of the method SIMPUS Technology Acceptance Model (TAM) and test the variables of the TAM method influential or not in Jember Regional Health Center with statistical analysis using Spearman Rank test. The population in this study are 15 health centers,by sampling two respondents from each health center so that a sample of30 people at the responden. The results of this study indicate SIMPUS implementation assessment for Ease variable (Perceived Usefulness) is 85%, Variable Benefit (Perceived Ease Of Usefulness) is 89%. Usage and Attitude variables (Attitude Toward Using) is 87%. While the results of the analysis with Spearman Rank test the ease factor (perceived ease of use) related significantly to user attitudes Information System is the result of the calculation of the significance of 0,040. Benefit factors (perceived usefulness) significantly related to the attitude of the use of information system that is the result of the calculation of significance of 0.022, the benefit factor (perceived usefulness) related significantly to the convenience factor of Information Systems is the result of the calculation of significance of 0.000.]]>
<![CDATA[Implementasi Content Based Image Retrieval Untuk Menganalisa Kemiripan Bakteri Yoghurt Menggunakan Metode Latent Semantic Indexing ]]>
<![CDATA[Chaulina Alfianti Oktavia, Meivi Kartikasari,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Computer  Vision  technology  can  be  implemented  in  a  variety  of  fields.  Oneimplementation of computer vision in the field of biology, especially in microorganism. The problems that often exist in determining the characteristics of microorganisms is the use of manual counting technique in comparing and determining the corresponding image with the image that you saved earlier. Content Based Image Retrieval technique (CBIR) is needed  in analyzing the similarity between the image-based approach yoghurt bacteria with Latent Semantic Indexing. Similarity analysis is done by means of data collection, preprocessing, feature extraction, calculation and visualization of image similarity retrieval results. From the analysis we can obtain  the similarity between the tested image with the microorganism image contained in the database.]]>
<![CDATA[Object Recognation Based On Genetic Algorithm With Color Segmentation ]]>
<![CDATA[Zusana E. Pudyastuti, Evy Poerbanityas,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[To be able to sort out the optimum color on an observed object is something that is veryimportant, for example in detecting the tumor. An area which has already exposed to the tumor can be identified from the photo. Doctors typically analyze and predict the result of a photo based on their experience, but the doctors can read the photo without predicting the outcome when they use a tool that is able to distinguish color degradation. Thus, creating an artificial intelligence system can help in making a decision. A combination of generic algorithm and image processing is used to optimize color segmentation in detecting an object. In the case of color segmentation of an object, it was  found that the spectrum of each color is different one to another. The color differences could be clear, unclear, or almost similar which can be used in detecting and grouping the color differences optimally.]]>
<![CDATA[Defining Influencing Success Factors In Global Software Development (GSD) Projects ]]>
<![CDATA[Dr. Andreas Drechsler, Anna Yuliarti Khodijah ,]]>
<![CDATA[ PROCEEDING IC-ITECHS 2014 PROCEEDING IC-ITECHS 2014 ]]>
Publisher : <![CDATA[PROCEEDING IC-ITECHS 2014 ]]>
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<![CDATA[Context:  Global Software Development (GSD) continues to experience substantialgrowth of trend concerning the development of software virtually distributed throughout different countries. GSD has several advantages as opposed to the collocated development, but there are also a number of challenges. As a project manager, we should know these and find ways to successfully manage the project virtual team. Objective: This paper is to delineate the study to define which factors influence the success of GSD projects. Method: Using the literature review method, 5 GSD success factors-related literature were selected and reviewed to distinguish the relevant success factors as being reported in the literature. Results:  The study  indicated  that there  are  different  opinions  in  considering which  factors  are  most important to GSD project success. Some experts see the âpeopleâ side of the team would contribute  most,  but  others  still  think  that  the âgeographicalâ  sides  (language  barriers, culture, distance, time difference) are the most dominant factors. Conclusion: The results obtained in this paper addressed two aspects; one showing that the challenges of GSD is changing, thus making the influencing factors changing too. Second, this paper can serve as a guide and insight for project managers to better understand how to manage and coordinate a virtual talented team across different countries.]]>
