International Journal of Applied Business and Information Systems

Journal Information
EISSN : 2597-8993
Published by: ASCEE Publications (10.31763)
Total articles ≅ 5
Current Coverage
DOAJ
Archived in
SHERPA/ROMEO
Filter:

Articles in this journal

Shubhi Mahmashony Harimurti
International Journal of Applied Business and Information Systems, Volume 1, pp 26-33; https://doi.org/10.31763/ijabis.v1i2.6

Abstract:
The phenomenal movement of Muhammadiyah with their growing assets is interesting to be studied in archaeological perspective. This research will focus on a period between 1912 – 1964 when the significant growth of Muhammadiyah as an organization took place. Spatially, this research will concentrate in three sub-districts of Gondomanan, Ngampilan, and Wirobrajan. This research is addressed to answer the question whether there is significant relationship between the growth of Muhammadiyah and the quantity of material assets owned by this organization during 1912 – 1964. The research objective is demonstrating the relationship between the growth of Muhammadiyah and its material heritage. Therefore, this research tries to demonstrate correlation between the growth of Muhammadiyah and the material heritage owned by the organization. The growth of Muhammadiyah is represented in the number of its membership and the material culture is indicated by the quantity of its sites. The correlation is measured by using statistical method. The statistical calculation shows there is a strong relationship between the quantity of Muhammadiyah sites and the growth of the organization. This is the result of many ‘behavioral’ aspects of the Muhammadiyah movement especially in social-religious, ijtihad, education, regeneration, and administrative sectors. From 1912 – 1964, the material assets of Muhammadiyah had undergone transformation in different ways.
Hanif Novrandhita, Rosa Dzakiyyah
International Journal of Applied Business and Information Systems, Volume 1, pp 19-25; https://doi.org/10.31763/ijabis.v1i2.5

Abstract:
The purpose of this research is to prove positive connection between circulation money (M2) with total of money which is secured in IDIC. This research data is coming from Bank Indonesia and IDIC website. This research is using analysis of pearson correlation and statistical analysis description. Result from this analysis is correlation between circulation money (M2) with total of money which is secured in IDIC as total as 0,99. From growth Yoy 2006-2014 ,circulation money years by years get up and down but on 2015-2016, circulation money get declining and this decline is not big decline.
Rachmad Febrian, Ayundyah Kesumawati
International Journal of Applied Business and Information Systems, Volume 1, pp 1-5; https://doi.org/10.31763/ijabis.v1i2.2

Abstract:
Data has become an indispendable part of every subject in the world such as in economy, industry, business function, individual and also organization in education such as in university. Data mining software is one of a number of analytical tools for analyzing data. One of techniques in data mining is Association Rules. This paper aim is to known the association between student attendance record and 3 variable which are course, time, and credit semester. Student attendance record need to be analyzed due to see the effectiveness of student attendance record. The result of this paper, association rules is the best method for this case. Courses is not significant for association rules because didn’t present in output. There are 9 rules that has lift ration beyond 1.0000000.
Ayundyah Kesumawati, Din Waikabu
International Journal of Applied Business and Information Systems, Volume 1, pp 6-12; https://doi.org/10.31763/ijabis.v1i2.3

Abstract:
Length of study in college is a time it takes a student to have completed the study in college. Bachelor degree in achieving normal that it takes time for four years, but still there are students who completed their studies beyond normal limits (over four years). This such as influence on the value of accreditation of the institution. In this paper, we used five variables: grade point average (GPA), Concentration in High School, Sex, participation in assistance and city of residence, which are classified by the Graduation Status students over four years and less than equal to four years. The method used for the classification of a student's study time is Naive Bayes algorithm. This study investigated classification student based on Graduation Status in Department Statistics of the Islamic University of Indonesia. From the result, Naïve Bayes algorithm classification is quite good with accuracy value for Naïve Bayes is 81,18%.
Andreas Bernhard, Kurniawan Hagi
International Journal of Applied Business and Information Systems, Volume 1, pp 13-18; https://doi.org/10.31763/ijabis.v1i2.4

Abstract:
Until now, lot of companies that already have data that is so large and the development of data is so quickly and with the plurality of data formats. Not only in units hundreds of Mega or Giga again but have reached the realm of Tera data countless. Besides the diversity of the data format itself, today not just formatted text but can be video or image as well as the format of other data. With the trend of data continues to grow, sometimes aspect of data security was often overlooked and even ignored.
Back to Top Top