cover
Contact Name
Taqwa Hariguna
Contact Email
taqwa@amikompurwokerto.ac.id
Phone
+62895422720524
Journal Mail Official
contact@ijiis.org
Editorial Address
Puri Mersi Baru, Jl.Martadireja II, Gang Sitihingil 3 Blok A No 2, Purwokerto Timur, Jawa Tengah
Location
Unknown,
Unknown
INDONESIA
IJIIS: International Journal of Informatics and Information Systems
Published by Bright Publisher
ISSN : -     EISSN : 25797069     DOI : https://doi.org/10.47738/ijiis
Core Subject : Science,
The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); meanwhile we have set up a robust online platform and use an online submission system to ensure the international visibility and the rigid peer review process. The journal staff is committed to a quick turnaround time both in regards to peer-review and time to publication.
Articles 7 Documents
Search results for , issue "Vol 1, No 1: September 2018" : 7 Documents clear
Sales Transaction Data Analysis using Apriori Algorithm to Determine the Layout of the Goods Hariguna, Taqwa; Hasanah, Uswatun; Susanti, Nindi Nofi
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.19

Abstract

In a shop, usually apply a sales strategy in order. The sales strategy can be in the form of determining the layout of goods so that they are close to one another. Determining the layout of items can be based on items that are often purchased simultaneously. Searching for items that are often purchased together can be done using data mining techniques, which is processing data to become more useful information. Sales transaction data processing can be done using apriori algorithm. Apriori algorithm is the most famous algorithm for finding high-frequency patterns and generating association rules. From the results of the discussion and data analysis, there were 3 (three) association rules formed, namely "If you buy Milo Active 18 grm, then buy ABC Kopi Susu 31G" with support 0.36% and 75% confidence, "If you buy Dancow 1 + Honey 200 grm, then buy Ice Cream Corneto" wit H Support 0.36% and confidence 60%, "If you buy SIIP Roasted 6.5 grm, then buy Davos Strong 10 grm" with support 0.36% and 75% confidence. From the association's rules can be used as decision making to determine the layout of goods that are likely to be purchased simultaneously by the buyer
Expert System for Diagnosing Early Childhood Developmental Disorders with Certainty Factor Method Hermanto, Nandang; Ramadhan, Zulfiqar Shertian
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.18

Abstract

The purpose of this research is to design and build an expert system to diagnose the type of developmental disorder in children early using the certainty factor method. The method of data collection used in this study is observation, interviews, and library studies. The system was built with the Waterfall System Development Method. The stage of the Waterfall method is analysis, design, coding, and testing. This expert system is built using the PHP programming language and MySQL database. The result of this research was to successfully build an expert system to diagnose the type of developmental disorder in children early using the Certainty factor method to facilitate the user in diagnosing developmental disorders in the child quickly, efficiently, and without having to consult a pediatrician.
Application of Data Mining Classification Method for Student Graduation Prediction Using K-Nearest Neighbor (K-NN) Algorithm Imron, Mohammad; Kusumah, Satia Angga
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.17

Abstract

The student graduation rate is one of the indicators to improve the accreditation of a course. It is needed to monitor and evaluate student graduation tendencies, timely or not. One of them is to predict the graduation rate by utilizing the data mining technique. Data Mining Classification method used is the algorithm K-Nearest Neighbor (K-NN). The data used comes from student data, student value data, and student graduation data for the year 2010-2012 with a total of 2,189 records. The attributes used are gender, school of origin, IP study program Semester 1-6. The results showed that the K-NN method produced a high accuracy of 89.04%.
Effect of Selection of Classification Features C4.5 Algorithm in Student Alcohol Consumption Dataset Astuti, Tri; Handoko, Pungky Dwi Putra
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.20

Abstract

Alcoholic beverages are psychoactive substances that are addictive. Psychoactive substances are a class of substances that work selectively, especially in the brain, which can cause changes in behavior, emotion, cognition, perception and awareness of one's and others. Police survey results in 2014 showed that users of narcotics and liquor. Most of the group of students, both junior, and senior student, which amounts to 70%, while only 20% of primary school graduates. In the modern era, especially in information technology, the need for information and the latest knowledge is multiplying. One of them is the user information of alcohol among teenagers is more accurate. Data mining is the process for extracting and identifying information useful and relevant knowledge from a variety of big data. In the data mining, there is a classification technique that assesses the data objects to include it in a particular class of several classes available, can be applied in the case - the case in the health sector, for example, in the case of alcohol addiction in adolescents. The algorithm that can be used in the classification is the C4.5 decision tree. The use of the decision tree algorithm to determine the level of alcohol use in teenagers using two methods, namely, the selection of attributes and without attributes.
An Alliance-Based Term Project in Software Quality Courses: a Lesson Learned Hsueh, Nien-Lin
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.83

Abstract

Software testing education has become important in the field of software engineering education. In the previous software quality assurance course, students were asked to form teams to complete a term project. By working on term projects, students can learn programming skills and test skills in a practical way. However, from the experience of the last 3 years, we found that students only did unit testing and system performance testing well but did poorly in integration testing. In addition, students do not yet have the concept of system decomposition and integration, even though it is important during software development. In this paper we report our improvements to software testing course design - an alliance-based approach. In the term project, students are organized into teams and many teams are grouped into alliances. Each alliance has a team of masters building game platforms for others. The master team must define the application interface to interact with other gaming teams, and they must perform integration tests based on the defined interface. In this paper we report our experiences and student feedback on the educational approach.
Development and Evaluation of Management Information Systems for Christian Workers Movement Multi-Purpose Cooperative M. Bernardo, Jose Carlos; E. Fidelino, John; A. Lamigo, Christian Noel; B. Santelices, Aaron Patrick; P. Ringula, Rex; G. Ventura, Mary Grace
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.84

Abstract

The Christian Workers Movement Multi-Purpose Cooperative (CWMMC) is a financial institution that caters to more than a thousand members in rendering timely financial assistance by making use of manual transaction processing. The company has encountered a number of problems pertaining to its services, strategic office location, and data / information management. This study was conducted in an attempt to design and develop a software system that would make loaning processes and other company-related business transactions simple, convenient, reliable, and dependable. A management information system was developed for and implemented at CWMMC. The software was found acceptable to the end-users and technical experts. Hence, it was recommended that the software be used continuously.
Cross-Cultural Comparisons of Review Aspect Importance Nakayama, Makoto; Kanayama, Hiroshi; Nasukawa, Tetsuya
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.85

Abstract

Previous text mining studies identified key common aspects in online restaurant reviews. However, it is not clear how important these aspects are for consumers. In this exploratory study, we used Yelp restaurant reviews on an ethnic food item, ramen noodles, and assessed the importance of each aspect to both U.S. and Japanese consumers. The results show that food and atmosphere are far more important than the other common aspects in both the U.S. and Japan. However, we found noticeable differences between consumers in the two countries regarding how the food aspect plays a role on star ratings. Both implications and a future research agenda are discussed.

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