Fountain of Informatics Journal

5

Authors: Edi Sutoyo

Rough set theory is one of the new mathematical approaches for intelligent data analysis and data mining that can deal with vague, uncertain, fuzzy knowledge and also incomplete information systems. In fact in the real-world problems, often found the conditions that are the user can not provide all the necessary preference values. In this research, an implementation of extension technique of rough set theory that called limited tolerance relation is used to overcome incomplete information systems in Telkom University students dataset. Based on the obtained results, the limited tolerance relation technique successfully used to handle that problem. The results show that the technique achieved the accuracy of 96.04% with an execution time of 3.1830 seconds

7

Authors: Rahmat Fauzi1, Satrio Wibowo Dela Youlina Putri

The development of e-commerce based on marketplace is very familiar in Indonesia. However, there is no digital printing services based on marketplace whereas the need of these services remains high. Currently, the printing house services based on business to customer (B2C) style so people have to compare the pricing and service information directly to print owners both online and offline. One solution to face this problem is to create a marketplace printing services called CETAKIN. By this application, information of printing service in a region can be integrated into this system. This system of printing marketplace integration is built with waterfall method with four stages namely needs analysis, system design, implementation, and system testing with PHP programming language and MySQL Database. The features that exist in this marketplace application is registration, search, order printing services. This information system application provides added value that makes the process of printing search and printing service prices more effective and efficient because people do not need to visit the address of printing. On the other hand, the benefits gained for the store owner can expand the coverage of his store's advertising so that the public know more the existence of the printing.

5-9

Authors: Indah Puji Astuti

The student is one of unsure in University or Higher Education. The student has different of data, such as self-identity information such as address, type of school, work of parents, type of class, etc. The students whose graduation rate is different, on time and not on time. The number of students who graduate is not on time will be a problem not only for university but also for faculty. The number of students graduating each year is one of factor of assessment when faculty or study program submits accreditation. C4.5 Algorithm is one of classification algorithm with decision trees. In this study conducted an analysis of student data Engineering Studies Program University of Muhammadiyah Ponorogo 2012/2013. The decision trees in this case is useful for exploring student data, finding the hidden relationship between of input attributes with a target attribute. The input attribute consist of, the type of school, address, work of parent, and type of class. The output attribute to classify is status, which consists of "on time" and "not on time". The results from this analysis shown that in this case the C4.5 algorithm can predict with an accuracy value only 82%.

20-27

Authors: Gita Indah Marthasari

One indicator of college efficiency is the study period of the students. It is important for university managers to improve the ratio of students who graduate on time. This research aims to analyze the characteristics that affect the study period of students from academic data. The methods used are association rule mining (ARM) and clustering. We propose a framework to analyze academic data using ARM and clustering method. ARM method is a method to find association rules that meet minimum support and minimum confidence. The algorithm used is Apriori. While clustering using Simple Expectation-Maximization (EM-clustering) algorithm. Simple EM is a model-based algorithm that searches for maximum likelihood estimation in the probability model. The variables analyzed were student achievement index, province of the students, and type of high school. The analysis is done using WEKA. Research begins with the collection of data from the primary source of the Biro Administrasi Akademik (BAA) Universitas Muhammadiyah Malang (UMM). Then, we do the data cleaning and transformation. Analyzing process is done in two step. First, do a rule search using Apriori algorithm. The regulated parameters are the minimum support and minimum confidence value. Second, we use Simple EM algorithm for the clustering process. The experiments were conducted to find the clustering result with the largest log likelihood value. Based on the experiment, the method used successfully describes the characteristics based on the study period.

8-16

Authors: Jumhurul Umami

One of the annual program in Pondok Modern Darussalam Gontor is selection lecturer or chaplain or teacher. In the selection process of teachers who are still there are problems such as the lack of expertise in IT that are still using Microsoft Access displayed manually and not using certain method, besides that just rely on the senior chaplain and part nurture students who are limited in number to evaluate classroom discipline students, the number of candidates for religious teacher will be selected also does not provide maximum results and requires a very long time. Therefore that Gontor require a system that can help in the decision making process to solve these problems, one of them made the Candidate Selection Decision Support System Ustadz Method Using Analytical Hierarchy Process (AHP). The results of the process of this system is the list of 100 best ratings will be a candidate teacher at Pondok Modern Darussalam Gontor I and served for one year to teach.

27-31

Authors: Sucipto

The development world of work is influenced by several factors such as the performance of human resources, so that each company tried to get quality employees. Improvement of human resources can be obtained from the process of field work practice in college. The field supervisor is a quality improvement factor for the students. Generally the selection of lecturers of fieldwork practice practicum is done without recommendation from students. That condition make students facing problems in field work practice. One of them is the students have difficulty adjusting to the supervisor because the characteristics of lecturers obtained from the college does not match with the required students. Therefore, a recommendation system of guidance lecturers in the field of Information System Department of X University facilitates the students to recommend lecturers according to their needs. In the recommendation process of lecturers the field work practices is conducted with the assessment of five variables. Variables obtained from lecturer performance assessment. Each of these assessments is taken into account and considered according to the needs of the students in the field. That system is made using decision support system method by multi-attribute of Weighted Product. Resulted of the analysis that has been done obtained an alternative of lecturers selected from the group of fieldwork students and the evaluation of lecturer selection by the student group. The result of the method is known that the analysis can give the recommendation of the supervisor lecturers to the student group in accordance with the highest score.

10-17

Authors: Kamal Fadl-Lu Maulayal Matin, Slamet Sugiarto, Happy Chrismana Datu

The quickly and accurately access to information has become the society necessary in the 21st century. The information in this period not only presented in the form of verbal communication, technological developments have enabled some information at once can be wrapped in a visual minimalist form. One popular technology is Google Map. Despite the existence of Google Map has helped many people to facilitate access to the full location, but in term of usage, society tends to only require information related to everyday life. Therefore, the ability of more suitable minimalist information to facilitate the public in performing daily activities. We create an application that can provide location information that specifically aims to facilitate the public in performing daily activities. The application work using GPS technology-based Google API and runs on the Android platform. The information presented depends on the activities of daily users, either in the form of the most frequently visited locations, routes of travel, location tracking, and navigation. All locations will be stored in the database of application, so that the information that has been stored can be accessed anytime and anywhere.

28-33

Authors: Lukman Effendi

A word processor is a tool used for writing text in which a word processing application has a function can perform text editing and printing. In making the word processing application is used programming languages C ++ Builder 5.0. The logic flow of this first-word processing application user will be presented with a form where there is a place to write the text. Within these forms are also several main menus in which there is a menu that is used to create new documents, the menu is used to edit the text, the menu is used for printing, as well as a menu that is used to store documents that support the format: txt, rtf, doc.