Practicum Material changes  followed the development of microcontroller, also facilities and infrastructure that support the implementation of the practicum have to adjust to the latest type of microcontroller. The level of student's comprehension towards the type of microcontroller influenced the academic and curriculum developers to establish  practicum material that is suitable to the syllabus. Curriculum developers will make an effective decision process to identify the factors that influence the selection of microcontrollers. These problems are modelled with Analytical Network Process (ANP). And the result is microcotroller type AT89S51/52 is better than the others.



Keyword : Analytical Network Process, Decision Support System< Microcontroller

Wiwien , Hadikurniawati,

English

Diponegoro University Institutional Repository

Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  289 Selection Of Microcontroller Type  As An Implementation Of ANP (Analytical Network Process)   Wiwien Hadikurniawati, Departement Of Information Technology Stikubank University Semarang, Indonesia  Email : hadikurniawati@gmail.com  Antono Adhi  Department Of Industrial Engineering Stikubank University  Semarang, Indonesia  Email : antonoadhi@yahoo.com  Abstract— Practicum Material changes  followed the development of microcontroller, also facilities and infrastructure that support the implementation of the practicum have to adjust to the latest type of microcontroller. The level of student's comprehension towards the type of microcontroller influenced the academic and curriculum developers to establish  practicum material that is suitable to the syllabus. Curriculum developers will make an effective decision process to identify the factors that influence the selection of microcontrollers. These problems are modelled with Analytical Network Process (ANP). And the result is microcotroller type AT89S51/52 is better than the others.  Keyword : Analytical Network Process, Decision Support System< Microcontroller.  I. INTRODUCTION  The academic and curriculum developers should set a practical matter in accordance with the syllabus. They must follow  the development of microcontroller, facilities and infrastructure that support the implementation of the practicum. Needed an effective decision-making process to identify the factors that influence the selection of microcontrollers as well as deaspectine the effects and importance of these factors with each other from the view of decision makers. These problems are modeled by Analitycal Network Process (ANP). The academic developers analyze quantitative to assess the importance of related factors. Validation of weight calculation of each element in each of the nodes in the cluster using the software Super Decisions 1.6.0. In this study, the method presented is a network model. The decision-making process is deaspectined through a comparison of technical data from each microcontroller and collecting data from student questionnaires as the subject of practicum. The advantages of this research is to apply the ANP method in deaspectining the type of microcontroller and implementation of software research decision-making systems that are useful and easy to use to aid decision making. II. RESEARCH METHOD In this study, steps taken on a chart as depicted in Figure 1. Step of this research is the development of decision-making process according to Simon in Turban (2005) by incorporating a step in the ANP as the first three steps.   FIGURE 1. STEPS OF RESEARCH  A. Problem Decomposition Network structure consisting of clusters and nodes. Network structure can be seen in Figure 5. Based on 6 clusters, namely: alternative, technical, programs, economically, users and industry. Clusters and nodes on the ANP method is assumed as follows: 1. Technical aspect Technical aspect  is the ability of the microcontroller based on the specifications of the hardware (data sheet microcontroller) of each microcontroller type used in this study. Technical perspective include the nodes:  Operational Frequency The amount of the operational frequency is depend on the type of microcontroller. Frequency of operational functions in the regulation of the data readout speed and the speed of instruction execution. The operational frequency influence the level of power consumption required by the microcontroller.  Flash Memory Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  290 Flash memory is a type of memory to allocate lots of memory addresses to be erased and written in one programming operation. Flash memory is also used to store basic instructions microcontroller.  Internal Memory  Internal memory is RAM (Random Access Memory). RAM is used to store variables or data  temporarily.  Timer/Counter Mode  Basically, the timer/counter is a set of binary counter which is connected directly to a microcontroller data channel, so the microcontroller can read the counter position, if necessary microcontroller can also change position of the counter.  Read/Write  Read/Write is the ability of the microcontroller to read and write commands. It works depends on the size of flash memory.  2. Programming aspect Programming aspect is the ability of the   microcontroller program in aspects programming language and auxiliary programs are used for a specific type of microcontroller. Programming aspects include the nodes as follows:  Source Code    Source code is a file contains the source files written by a programmer  In-System Programming (ISP)    ISP is a software used to upload programs that have been compiled into the microcontroller.  Compiler Downloader Compiler downloader is a program that is used to change the file "asm" into the file "hex". Source code usually stored in a file with extension "asm". To be uploaded to the ISP into the microcontroller, then the "asm" file must be compiled into a "hex" file.  3. Economical Aspect             Economical aspects is an assessment based on market conditions of microcontroller. Economically subkriteria include the following:  Market Price The market price is the price of  IC component in microcontroller electronics stores. The purchase price is a major factor for consumers to purchase a product. If it's cheap and quality, then it will become the primary choice of consumers.  Product Availability Stock of a product, usually affecting consumers in the selection of a product. Number of items will affect the price of the goods. If the amount of goods is a lot then the price will be cheaper, but if  the amount of goods is limited then the price will be expensive.  Product Reliability Reliability of products based on technical specifications of a product. There are some consumers who put a high technical specification as a consideration in the purchase of a product. They assumed product with high specification has a high reliability.  Device Support A product that can not operate alone and should require other devices to function, then the supporting devices will also be hunted by the consumer. For the microcontroller, the devices are supporting a series downloader, data cable, jumper cables, and software.  4. User aspect User aspect is an assessment of microcontrollers based on the ability of the user (in this case students), both in theory and in practice. Aspects of users include the nodes as follows:  Level of Ease Level in aspects of ease of operation of the microcontroller processes both in aspects of software and hardware side.  Level of Understanding Level of understanding in aspects of student ability to understand  the theory of microcontrollers types. In addition is also the level of student ability in microcontroller working process.  Level of Satisfaction If a student has understood the theory and practice, and easy to operate certain types of microcontrollers, it will usually always use this type of microcontroller to process further activities such as the final task. This is also meant the level of student satisfaction of a certain type of microcontroller.  5. Industrial Aspect Aspects of the industrial world is the rating based on microcontroller applications in the industrial world. Industrialized world in aspects of covering the nodes as follows:  Use The use of microcontrollers in the industrial world is meant either the use of certain types of microcontrollers in production processes and in products produced by the industry.  Reliability Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  291 For the industry, the level of reliability is also focused on specifications of the microcontroller product. High technical specifications will increase production efficiency. In addition the use of reliability is measured in aspects of age, both in the production process as well as products generated by the industry.  III.   NETWORK ANALYSIS From the network structure in ANP method can be seen linkages between groups or clusters, or between the elements or nodes in a same group or the other group. A cluster is automatically connected to each other due to the relations among its member nodes. From Figure 2, the network structure can be expressed by the matrix shown in table 1.    Matrix in table 1 shows that the element (node) that does not give effect to the other elements will give a zero value. The next step is to calculate the priorities in each group (cluster) is formed. Accordance with the payoff matrix representation of the network, then the elements or nodes that have a value one has particular value based on the calculation priority of inter-group. The calculation of the comparison of each group (cluster) are : 1. Comparative Analysis of Alternative Interest Cluster Pairwised comparison value and the priority weights of each group are connected to the alternative group can be seen in table 2.   TABLE 2. PAIRWISE COMPARISON OF ALTERNATIVE INTEREST CLUSTER  From the analysis of the above, technical aspects is more important than programming aspects and the comparison matrix is consistent.  2. Comparative Analysis of Technical Aspects  Comparative analysis of technical aspects of interest cluster pairwised comparison value and the priority weights of each group (clusters) connected with the technical aspect of the cluster can be seen in table 3. From the comparative analysis of interest groups in technical aspect of the user is the most important cluster than the other clusters and the comparison matrix is consistent.   TABLE 3. PAIRWISE COMPARISON OF TECHNICAL ASPECTS OF INTEREST CLUSTER   3. Comparative Analysis of Cluster Interest from Programming Aspect Pairwised comparison value and the priority weights of each group (clusters) connected with the technical aspect of the cluster can be seen in Table 4.  TABLE 4. PAIRWISE COMPARISON OF CLUSTER INTEREST FROM PROGRAMMING ASPECT   Above analysis shows that cluster of user in aspects is the most important from other clusters and the comparison matrix is consistent.  4. Comparative Analysis of Cluster Interest from Economic Aspects  Pairwised comparison value and the priority weights of each group (clusters) connected with economically cluster can be seen in Table 5. From the comparative analysis of the cluster interests from economical aspects show that cluster of technical point is the most important from other clusters and the comparison matrix is consistent.  TABLE 5. PAIRWISE COMPARISON OF CLUSTER INTEREST FROM ECONOMICAL ASPECTS.    Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  292 5. Comparative Analysis of Cluster Interest from User Aspects Pairwised comparison value and the priority weights of each group (clusters) connected to the cluster in user aspects can be seen in Table 6.  TABLE 6. PAIRWISE COMPARISONS OF INTEREST SEFI CLUSTER USERS    The above analysis shows the clusters in users aspects is the most important than other clusters and the comparison matrix is consistent. The comparison of clusters result priority value. The values clusters are arranged in a matrix called the cluster matrix as shown in table 7.  TABLE 7. CLUSTER MATRIX   The next step is calculation of the weight of inter-element (node) as follows:  Pairwise Comparison of Node AT89S51/52 in Technical Aspects Value of pairwised comparison and priority weight of nodes of AT89S51/52 in user  aspect cluster can be seen in table 8.  TABLE 8. PAIRWISE COMPARISONS OF AT89S51052 IN TECHNICAL ASPECTS CLUSTER   The above comparison shows that the operational frequency has highest priority compared with other nodes.  Pairwise Comparison of Node AT90S1200, 68HC11, and ATMEGA8535 in technical aspects has same result with cluster node AT89S51/52 with the highest priority is operational frequency.  Pairwise Comparison of Flash Memory in a Technical Aspects Cluster can be seen in table 9.   TABLE 9. PAIRWISE COMPARISONS OF FLASH MEMORY IN TECHNICAL ASPECTS CLUSTER   Pairwise comparison of flash memory node in technical aspects cluster is seen that internal memory has highest priority.  Pairwised comparison of Internal Memory in technical aspects cluster has the same result with comparison of flash memory node in the technical aspects cluster above.  Pairwised comparison of Operational Frequency in technical aspects cluster. Value of pairwised comparison and priority weight of technical aspects cluster can be seen in Table 10.  TABLE 10. PAIRWISED COMPARISONS OF OPERATIONAL FREQUENCY IN TECHNICAL ASPECTS CLUSTER   Table 10 shows that flash memory has highest priority.   Pairwised comparison of Read/Write in technical aspects cluster. Value of pairwised comparison and priority weight of Read/Write in technical aspect cluster can be seen in table 11.  TABLE 11. PAIRWISE COMPARISONS OF READ/WRITE IN TECHNICAL ASPECTS CLUSTER    Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  293 Table 11 shows that flash memory occupies the highest priority.  Pairwised comparison of Timer/Counter in technical aspects cluster. Value of pairwised comparison and priority weight of Timer/Counter in technical  aspects cluster can be seen in table 12.  TABLE 12. PAIRWISE COMPARISONS OF TIMER/ COUNTER IN TECHNICAL ASPETCS CLUSTER   Table 12 shows that flash memory has highest priority.  Pairwise Comparison of Source Code in  Programming Aspect Cluster. Value of pairwised comparison and priority weight of source code in programming cluster can be seen in Table 13.  TABLE 13. PAIRWISE COMPARISONS OF SOURCE CODE IN PROGRAMMING ASPECT CLUSTER   Table 13 shows that the In-System Programming has highest priority.  Pairwise Comparison of In-System Programming in Programming Aspect Cluster. Value of pairwised comparison and priority weight of In-System Programming in programming aspect cluster can be seen in Table 14.  TABLE 14. PAIRWISE COMPARISONS OF IN-SYSTEM PROGRAMMING IN PROGRAMMING ASPECT CLUSTER   Table 14 shows that the Source Code Program has highest priority.  Pairwised Comparisons of Downloader Compiler in  Programming Aspect Cluster. Value of pairwised comparison and priority weight of Downloader Compiler can be seen in Table 15.  TABLE 15. PAIRWISE COMPARISONS OF DOWNLOADER COMPILER IN PROGRAMMING ASPECTS   Table 15 shows that Source Code has highest priority.  Pairwise Comparison in of Nodes in Alternative Aspect Cluster. Elements (nodes) connected with alternative have linkages so they have pairwised comparative value. From the calculation, the priorities of these nodes of the alternative can be seen in Table 16.  TABLE 16. NODE PRIORITY OF ALTERNATIVE    Pairwised Comparison of Flash Memory Node in Users Aspect Cluster. Value of pairwised comparison and priority weight of Flash Memory nodes in user aspects cluster can be seen in Table 17.         Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  294 TABLE 17. PAIRWISE COMPARISONS OF FLASH MEMORY IN A USER ASPECTS CLUSTER   Table 17 shows that Easy level has highest priority.  Pairwise Comparisons of Internal Memory, Operational Frequency, Read/Write and Timer/Counter, Compiler Downloader, In-System Programming, Source Code in user aspect cluster have the same results with pairwised comparison of Flash Memory in Users Aspect Cluster with Easy level has  priority level.  Pairwise Comparisons of easy level node in Economic Aspects Cluster. Value of pairwised comparison and priority weight of Flash Memory node in users aspect can be seen in Table 18. Comparison of easy level in economically aspect cluster shows that market price has highest priority.  TABLE 18. PAIRWISE COMPARISONS OF EASY LEVEL IN ECONOMIC ASPECTS CLUSTER   Pairwise Comparison of Satisfaction Levels node in the cluster Economic aspect has same   result with the level of convenience in aspects of economic clusters.  Pairwise Comparison of Flash Memory in Industry aspects Cluster Node. Value of pairwised comparison and weighting of priority Flash memory node in the cluster of industry aspects can be seen in Table 19.  TABLE 19. PAIRWISE COMPARISON OF FLASH MEMORY IN INDUSTRY ASPECTS CLUSTER  From the comparison of nodes in the cluster in aspects of Flash Memory Industry shows that reliability has  the highest priority.   The next step is by putting some weight in each node into a matrix containing all elements (node) so that formed matrix dimension is huge that is called supermatrix.  Premilinary matrix formed is named unweighted supermatrix. The result can be seen in figure 3. The supermatrix is made so that all elements listed in the column can be added and the result is 1 (one). The result of computation can be seen in figure 4. Weighted supermatrix is quaded until it yields a matrix that has the same value listed lines by lines. In this case limit supermatrix is resulted from unweighted supermatrix into 16 quad. The result of limit supermatrix can be seen in figure 5.  IV.   ALTERNATIVE ANALYSIS Networking analysis yields limit supermatrix that has the same value listed in the same column. From limit supermatrix line we can get a value that is a value for each node for the networking. Analytical Network Process. For the nodes that are alternative cluster we can get alternatives from Analytical Network Process I. AT89S51/52 =  0.1049 II. ATMEGA8535 =  0.0620 III. M68HC11 =  0.0530 IV. AT90S1200  =  0.0385 From above alternative priority we can get AT89S51/52 that is the highest priority.   V.   CONCLUSION There are some points that can be drawn from the analysis and discussion in this research, namely: 1. In the ANP method, the component (the name of ANP level) is not arranged orderly but is linked in pairs in accordance with the influence. 2. Decision support system determines microcontroller type that is able to give the best rank from usage criteria that are used to determine microcontroller type. The computation of ANP method resulted microcontroller alternative type AT89S51/51 which takes the highest priority and can be used as a consideration for decision maker in order that it will be used in Practical System of Microprocessor and Microrpocessor.   Proceedings of The 1st International Conference on Information Systems For Business Competitiveness (ICISBC) 2011  295   REFERENCES  [1]. Nalwan, P.A. 2003. Teknik Antarmuka dan Pemrograman Mikrokontroler AT89C51. Jakarta : PT. Elex Media Komputindo. [2].  O.N, Andreichicova and T.N, Radyshevskaya. 2007. 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Application of Analytic Network Process To A Forecasting of Oral Health. ISAHP

Decision Support Systems And Intelligent Systems. Edisi 7.

Fundamentals of The Analytic Network Process – Dependence and Feedback in Decison-Making With A Single Network.

Sistem Pendukung Keputusan. Bandung : PT. Remaja Rosdakarya.

Software Engineering : A Practitioner’s Approach.

System Analysis and Design Methods”.

Teknik Antarmuka dan Pemrograman Mikrokontroler AT89C51. Jakarta : PT. Elex Media Komputindo.

Selection Of Microcontroller Type As An Implementation Of ANP (Analytical Network Process)

http://eprints.undip.ac.id/36170/1/MSI-Wiwien.pdf

Selection Of Microcontroller Type As An Implementation Of ANP (Analytical Network Process)

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