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This paper is continuation from previous research, where selective generalize attributes is executed in order to find final characteristic rule with execution of Attribute Oriented Induction (AOI) characteristic rule algorithm between line number 9 and 12. This paper gives easy understanding for bachelor and master degree students to understand abo...
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... previous research, line number 10 where the selective generalize attributes was proposed based on the simplicity of concept hierarchy, where the simpler concept hierarchy more interesting result are likely to be found [3]. Finding interesting rule is influenced with wider of length and depth or level of concept tree as shown in figure 1[3]. Figure 1 shows that small number of depth/level and length/amount of concepts in concept tree will have simple generalization process but large number will have more generalization process [3]. ...
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... interesting rule is influenced with wider of length and depth or level of concept tree as shown in figure 1[3]. Figure 1 shows that small number of depth/level and length/amount of concepts in concept tree will have simple generalization process but large number will have more generalization process [3]. ...
Context 3
... the third attribute or attribute major has higher concept, then line number 5 of AOI characteristic rule algorithm is run in order to substitute the value of attribute major with corresponding minimal generalized concept. The minimal corresponding generalized concept for attribute major can be seen on concept tree for major in figure 1 on previous research [3] and shown in figure 3. Table 4 shows student dataset after attribute major first generalized concept and afterward, line number 6 of AOI characteristic rule will be executed in order to merge identical tuples. However, there is no identical tuples in current student dataset in table 4. Thereafter, the process will loop and executed line number 2 of AOI characteristic rule algorithm with still i=3, which means to check number of distinct value in 3 rd attribute in table 4, where attribute major in table 4 has 2 distinct values such as {Science, Art}. ...
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... Using Smart integration payment can be as one another solution where the government makes a fintech technology where passenger pay for riding transportation cashless and get cash back from the payment they did [17]. Artificial Intelligent (AI) technology such as data mining technology such as Attribute Oriented Induction High Emerging Pattern (AOI-HEP) [28,29,30,31,32,33,34,35], Attribute Oriented Induction (AOI) [18,19,20,21,22,23,24,25], or Emerging Pattern (EP) [26,27] can be used. ...
he internet network is the essential thing in life today, almost all devices are connected to the internet network, and many have been implemented in virtually all areas of life that exist in society today, with the concept of smart city internet system very, very play the most crucial role. This is because all have been connected to the internet network, and this system is expected to reduce many of the problems in the developing cities or developed cities. With an excellent precautionary method will lead to an orderly community system that passes traffic, can be monitored regarding vehicles, highways and traffic signs. Moreover, with intelligent monitoring, many help the government and officers work, with proper tracking the community can measure the distance traveled so that they can arrive quickly at the destination, and reduce accident in the road. The proposed Internet of Thing (IoT) monitoring which applied such as motion sensor monitoring, ultrasonic sensor monitoring, Passive Infra Red (PIR) sensor monitoring and speed sensor monitoring.
... Using Smart integration payment can be as one another solution where the government makes a fintech technology where passenger pay for riding transportation cashless and get cash back from the payment they did [17]. Artificial Intelligent (AI) technology such as data mining technology such as Attribute Oriented Induction High Emerging Pattern (AOI-HEP) [28,29,30,31,32,33,34,35], Attribute Oriented Induction (AOI) [18,19,20,21,22,23,24,25], or Emerging Pattern (EP) [26,27] can be used. ...
rogress in the complexity of large cities, highly complex systems, and intelligence science, in particular, smart city technology, has shown great ability in helping to reduce traffic congestion in developing cities. All ideas from the development of intelligent transportation to a town that wants to build and want to change into a smart city, especially in the field of ACP (system created, computing developed), based on parallel management and control system (PTMS). PTMS is considered to be enlarged to a new generation of an intelligent transportation system, and its essential component of architecture then make the hardware and software that will support a new architecture in a developing city to a smart city. The case in a lift is a communication system on a car that uses peer to peer networks and smart cards, with a communication system in a vehicle is expected to control congestion in a developing city through an original town with a connected system. This paper proposed four aspects of surveillance such as Traffic surveillance, vehicle Surveillance, passenger surveillance and driver surveillance. The combination of these surveillances will create best applied Intelligent Transportation Systems (ITS) or can be called as Smart Transportation Systems(STS).
... The utilization of previous technology acceptance ever done research on Acceptance Technology of Student Information Terminal using Technology Acceptance Model (TAM) method, with the external variables are tested include the design of the portal, e-resources, organization and user abilities and skill, with the conclusion of the results of hypothesis testing, is accepted [1]. This S-IT application will be extended its intelligence with Data Warehouse [2], [3] or/and data mining technologies and can use data mining algorithm such as using Attribute Oriented Induction technique (AOI) [4], [5] or AOI-HEP in order to find frequent or similar patterns [6], [7], [8], [9]. ...
Student Information Terminals (S-IT) is an independent academic service information system for students, where this service makes it easy for students to obtain academic information in real time with information such as the transcript of academic achievement, finance, course, attendance, exam, lecturer, card examinees and announcements academic, and has the function to print directly the data independently on S-IT devices. To find out how well the S-IT is in terms of software size, then needed a measurement. The measurements used in this paper using the Use Case Point (UCP) method as one of the approved software metrics which measure the functionality our software size. The results of the measurement of software size S-IT shown that the project has a small size, the software has a value of UCP = 96.767 estimate effort, has the development time 1,452 hours or equivalent 9 months 1 week and have development costs in Indonesian Rupiah is 263,175,000 IDR. The aims of measurement software size S-IT with the use case point is to help make decisions about the implementation of software development application project in terms of the estimated time, costs, and people.
... Academic Information System is the application of webbased academic information system that can be accessed by: Head of Department, students, faculty, staff and students via the internet. In the future, this web-based application will be equipped with intelligent application such as Data warehouse [3,4] and Data mining technologies such as Attribute Oriented Induction algorithm [5,6] or AOI-HEP algorithm with ability to find frequent and similar patterns [7,8,9]. Modules for this Academic Information System are available on the website of academic information system which consist of: Information course schedule Print schedule Charging FRS Online Charging KST Charging Attendance Charging value Print Index Value Print cumulative value / transcript Value Satya Negara Indonesia university (USNI), was born in 1989, in Jakarta, Indonesia, and in order to support the process of academic activities. ...
Academic Information System at Satya Negara Indonesia university (USNI) was developed since 2008 and as major systems required for the processes of academic activities process, which support the teaching learning process activities. The Academic information system serving students carry out lectures and gain value in the form of cards in each semester of study results. In order to rebuilding this system the current system will be measured with Use Case Point (UCP) in order to help management when extend the current Academic Information System. UCP will help the management when making their decisions regarding with the development of system in term of time, people and money. Measurement software using the UCP in Academic Information Systems of Satya Negara Indonesia university has score Use Case Point (UCP) = 86.864 and categorized as small software size project which is smaller than 99.
... This information system in response to the Civil Service Management Personnel Administration to establish an effort to meet the information needs of employee data that is fast, accurate, accountable, and up to date [1,2,3]. In the future, this application will be equipped with intelligent application such as Data warehouse [12,13] and Data mining technologies such as Attribute Oriented Induction algorithm [14,15] or AOI-HEP algorithm with ability to find frequent and similar patterns [16,17,18]. ...
Employee Application (EA) is a system information for realizing the latest personal data and integrated, provide accurate employee information for planning, development, welfare and control of employees. EA in STT-PLN began to be published since 2013. The software size of the EA STT-PLN will be measured with use case point method. Measurement of the software size of EA STT-PLN will be measured with Use Case Point upon use case diagram for EA STT-PLN as shown in the project has small software size where score Use Case Point (UCP) = 70.34. UCP is another alternative implementation method which can be applied to measure application software size whenever needed to deal with time, money and people.
... Data Mining is computer algorithm program which have function to find or learn pattern/rule in data as a explicit knowledge in Knowledge Management. There are many current recognized Data Mining algorithms such as Decision tree/rules, Support Vector Machine (SVM), C4.5, K-Means, Apriori, Expectation Maximization (EM), PageRank, AdaBoost, k-Nearest Neighbors (kNN), Naive Bayes and Classification and Regression Tress(CART) [2,3], Emerging Pattern (EP) [7][8], Attribute Oriented Induction (AOI) [9][10][11][12][13][14][15][16], Attribute Oriented Induction High Emerging Pattern (AOI-HEP) [17][18][19][20][21]. The pattern or rule is the way to look at the data in many perspective. ...
DKI Jakarta gubernatorial election 2017 was phenomenal event which draws attention worldwide, where one of the defeated candidate Ahok or recognized as Basuki Tjahaja Purnama was charged with blasphemy, has double minority background in Indonesia as descendants of China and Christian and he was titled “Man of the Year” 2015 by Globe Asia magazine. However, in this paper we do not interested with political conversation, how one candidate couples can win or how one candidate couples could lose. We are interested to learn based on our science knowledge in Computer Science perspective particularly with the term of Data Mining with this 5 years DKI Jakarta event program. Hopefully, by reading this paper the students of Computer Science can understand their Computer Science knowledge in their surrounding life events. Obviously, voters’ decisions are influenced by human nature characteristic which like to similarity preferences, where human like to choose someone who have full or frequent similarity in profile and/or program. Beforehand, voters should do learning by doing the characterization of their and candidate couples’ profile and program. Afterwards, based on candidate couples’ profile and program, the voters will do discrimination between candidate couples, classification, clustering or association among candidate couples. Admittedly, the voters will fill their ballot based on their preference similarity.
... The measurement of the poverty levels of the water uses the variables in the Water Poverty Index (WPI) [6]. This application can be equipped with technology application such as Data Warehouse technology [17,18] and data mining technology such as using Attribute Oriented Induction technique [19,20] or AOI-HEP data mining technique for finding frequent or similar patterns [21,22,23]. ...
The emergence of various problems of the water crisis in Central Java, urge on need for developing the mapping application of the water poverty level in that area to help the Government and related parties in executing the decision making required. This application will map the poverty levels of the water from 8,576 villages, 573 subdistricts and 35 regencies in Central Java by using the technique of spatial data mining and the approach of the water poverty index (WPI). Seeing the magnitude of that application scope, then it needs to do the software complexity measurement to find out further the resources needed for the development of the system in the future. The measurement of the software complexity is held with the Function Point (FP) method that produces the estimation of the resource requirements such as project work effort, project duration and speed of delivery. The results of the research showed that the software water poverty mapping owns the complexity level with FP at 136.64, the project work effort at 1,273 hours, the project duration in 4.037 months and the speed of delivery at 33.85 FP per person month.
... Request online system is a web based application which is built with Personal Home Page (PHP) language programming in order to record and control all improvement or update request in SAP application. For future implementation, the intelligent of this application will be extended with such as technology such as Data Warehouse [19,20,21,22,23] or Data Mining with some options algorithms such as Attribute Oriented Induction(AOI) [24,25,26,27,28,29,30,31] or Attribute Oriented Induction High level Emerging Patterns (AOI-HEP) [32,33,34,35,36]. ...
... Moreover, Virtual Information System can be applied in order to present playing and having fun atmosphere on working area [16]. Virtual application can be built in order to run and support intelligent application in virtual information systems with technologies such as Data warehouse [17,18] or Data mining such as Attribute Oriented Induction algorithm [19,20] or AOI-HEP algorithm with ability to find frequent and similar patterns [21,22,23]. ...
One kind of games based on its playing media is video game, which defined as a game that use any kind of computers as media. In terms of purpose, game has two types, which is serious game and non-serious game. As learning media, serious games need to have ability to motivate its player in order to play the game until the end so the player can finish the game while understanding learning materials given in the game. Therefore, the quality of serious game should be measured, like any other software. When it comes to measure serious games, previous models can’t do the job well since all of them have no way to measure the game’s content, especially to measure the content that can improve player’s motivation. This paper proposes a new game measurement metric to measure the game quality factors, especially to measure serious game contents that can motivate its players. The result of this paper is a metric table consisted of measureable factors and type of test to measure them.
Sistem Informasi akademik merupakan sistem utama yang diperlukan untuk proses-proses kegiatan akademik yaitu kegiatan proses belajar mengajar yang membutuhkan tingkat keamanan tinggi dan kecepatan dalam proses pemasukan data serta pencetakan dokumen. Sistem Informasi Akademik di Universitas Satya Negara dibuat sejak tahun 2008. Pada sistem informasi Akademik melayani mahasiswa dimulai dari proses pengisian rencana studi mahasiswa, dibantu pembimbing Akademik untuk memvalidasi jumlah Sks yang diambil sampai akhirnya mahasiswa melakukan perkuliahan dan mendapatkan nilai dalam bentuk kartu hasil studi pada setiap semester. Pengukuran perangkat lunak dengan mengunakan diagram use case point pada Sistem Informasi Akademik Universitas Satya Negara Indonesia didapatkan nilai use case point (ucp) = 70,577 dengan nilai tersebut maka termasuk pada kategori kecil karena memiliki skala lebih kecil dari 99.
