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Fountain of Informatics Journal
Published by Universitas Darussalam Gontor
ISSN : 25414313     EISSN : 25485113     DOI : -
Core Subject :
Fountain of Informatics Journal (FIJ), with registered ISSN 2541-4313 (Print), ISSN 2548-5113 (Online), and DOI 10.21111/fij, is a peer-reviewed journal published semi-annual (May and November) by Universitas Darussalam Gontor. The FIJ invites manuscripts in the various topics include, but not limited to, functional areas of the information system, software engineering, computer network and game technology.
Arjuna Subject : -
Articles 5 Documents
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Search results for , issue "Vol 2, No 2 (2017): November" : 5 Documents clear
Implementasi Teknik Data Mining untuk Evaluasi Kinerja Mahasiswa Berdasarkan Data Akademik Gita Indah Marthasari
Fountain of Informatics Journal Vol 2, No 2 (2017): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v2i2.1216

Abstract

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 dan 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.
Analisis Faktor – Faktor Pendukung Pengambilan Keputusan Memilih Rumah Sakit Rujukan Di Bangka Belitung Dengan Analitycal Hierarchy Process Hilyah Magdalena
Fountain of Informatics Journal Vol 2, No 2 (2017): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v2i2.1196

Abstract

Health services are basic services whose implementation is protected and guaranteed by the government. The existence of BPJS makes health services easier, more secure, and reachable to all levels of society. When a patient's health condition requires a higher facility, patients are generally referred to a higher-level health facility. In the province of Bangka Belitung currently stands several hospitals with various levels and completeness of facilities, ranging from provincial public hospitals, local public hospitals, to private hospitals. Patients who need referral can adjust the choice of the hospital with their health condition. The diverse needs of referral health care services and the diversity of hospitals with their services make decision making difficult. This study focuses on analyzing what factors are the basis of patient consideration in choosing a referral hospital. To support the multicriteria and multi-alternative selection process, this study uses the Analytical Hierarchy Process (AHP). The results of data processing showed that the most important criterion for patients when choosing a referral hospital was a health service attribute weighing 19.2% and the patients referred to were mostly referral patients in wards of wards with a weight of 24.2%.
Evaluasi Infrastruktur TI Menggunakan Framework COBIT 4.1 (Studi kasus : Sistem Informasi Ujian Online Universitas Y) Dwiyono Ariyadi
Fountain of Informatics Journal Vol 2, No 2 (2017): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v2i2.1066

Abstract

Use of information technology facility as supporting support vision mission university need to be proven to prove, only with any of the measurement. Infrastructure audit of information technology on online test information system (SIUJO) faculty of technique is a form of measurement the maturity level in formation technology which the purpose is identifying the early possible risk so the process of faculty's bussiness is not trouble. Doing infrastructure audit of information technology using framework cobit 4.1 focus on subdomain AI3 and AI5 with respondent according to RACI. Audit of information technology infrastructure SIUJO shows the result that the maturity level is still on the current level 1. It is necessary for gradual improvement efforts between three years to maturity level 3 to 4. By doing audit earlierly, bussiness process expected to support the faculty. 
Prediksi Ketepatan Waktu Kelulusan Dengan Algoritma Data Mining C4.5 Indah Puji Astuti
Fountain of Informatics Journal Vol 2, No 2 (2017): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v2i2.1067

Abstract

The student is one of entities in University or Higher Education. The student has a variety of data, such as self-identity information such as address, type of school, work of parents, type of class, etc. In fact many 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 points 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 a number of candidate 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%.
IT Audit of IT Service Provider Using COBIT 4.1 Framework: Case Study at PT. XYZ Muhammad Malik Hakim
Fountain of Informatics Journal Vol 2, No 2 (2017): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v2i2.1236

Abstract

IT service providers often campaign for the importance of having a high level of IT maturity to its customers. However, not all IT companies have a high commitment to IT management within their own organisation. As a case study, this paper attempts to measure the IT maturity level of PT. XYZ that now is a growing IT services provider. Data collection is done by interview, document study, and direct field observation. The measurement of IT maturity level is conducted using 4 domains of COBIT 4.1 Framework, consists of Plan and Organize (PO), Deliver and Support (DS), Acquire and Implement (AI), and Monitor and Evaluate (ME). The result shows a value of 2.5 which indicates that IT maturity level is at level 2 (Repeatable but Intuitive) which means low enough for companies that should have a high awareness of IT governance and commitment. This study shows that the level of IT maturity in IT service provider is not always as high as its campaign.

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