cover
Contact Name
Taqwa Hariguna
Contact Email
taqwa@amikompurwokerto.ac.id
Phone
-
Journal Mail Official
info@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
International Journal of Informatics and Information Systems
Published by Bright Publisher
ISSN : 25797069     EISSN : 25797069     DOI : -
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 19 Documents
CLASSIFICATION OF LOW BIRTH WEIGHT BABY UNDER ANTHROPOMETRY USES ALGORITHMS K-MEANS CLUSTERING ON MATERNITY HOSPITAL Santiko, Irfan; Kurniawan, Deni
IJIIS: International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.891 KB)

Abstract

LBW infants with birth weight less than 2500 grams regardless gestation period. Low birth weight is the weight of a baby who weighed within 1 hour after birth. World Health Organization (WHO) since 1961 states that all newborns are underweight or equal to 2,500 g called low birth weight infant (low birth weight). According to WHO. Statistically, morbidity and mortality in neonates in developing countries is high, with the main causes is associated with LBW. To facilitate medical personnel in determining the risk of LBW. From the testing that has been done by the author, the k-means clustering algorithm has accuracy in classifying LBW babies by spacing the proximity between variables and the similarities in the test data,
SALES TRANSACTION DATA ANALYSIS USING APRIORI ALGORITHM TO DETERMINE THE LAYOUT OF THE GOODS Hariguna, Taqwa; Hasanah, Uswatun; Susanti, Nindi Nofi
IJIIS: International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (592.569 KB)

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
ANALYSIS OF SEQUENTIAL BOOK LOAN DATA PATTERN USING GENERALIZED SEQUENTIAL PATTERN (GSP) ALGORITHM Astuti, Tri; Anggraini, Lisdya
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.213 KB)

Abstract

As a center for learning and information services, STMIK Amikom Purwokerto Library is a source of learning and a source of intellectual activity that is very important for the entire academic community in supporting the achievement of the college Tridharma program. Book lending transaction data, can produce information that is important as supporting decision making when further analyzed. One useful information is that it can provide information in the form of user behavior patterns in borrowing books that are used to maintain the availability of related book stocks to be balanced. This study uses the Generalized Sequential Pattern (GSP) algorithm, which can be used to determine the behavior patterns of users in each transaction and can show relationships or associations between books, both requested simultaneously and sequentially. From the calculations that have been done, 295 frequent sequences are consisting of 3 sequence patterns that are formed from the minimum support of 0.53% or the minimum number of books borrowed, namely 2 books. Three book items have very strong linkages in book lending transactions, namely book code 6690, 2026, and 8131.
PRODUCT REVIEW SENTIMENT ANALYSIS BY ARTIFICIAL NEURAL NETWORK ALGORITHM Astuti, Tri; Pratika, Irnawati
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.603 KB)

Abstract

Buying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thus, it takes the help of machines to assist in the analysis of such sentiments. Analysis of the sentiments of the review the product is done to help the shop get a general overview related to the level of consumer satisfaction. In this study, the ANN algorithm will be used to analyze sentiment for review. A product ANN algorithm used because it can provide high accuracy performance. This research resulted in a reasonably high accuracy performance is 88.2%.
SYSTEM OF INFORMATION FEEDBACK ON ARCHIVE USING TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY AND VECTOR SPACE MODEL METHODS Suhartono, Didit; Khodirun, Khodirun
IJIIS: International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.544 KB)

Abstract

The archive is one of the examples of documents that important. Archives are stored systematically with a view to helping and simplifying the storage and retrieval of the archive. In the information retrieval (Information retrieval) the process of retrieving relevant documents and not retrieving documents that are not relevant. To retrieve the relevant documents, a method is needed. Using the Term Frequency-Inverse Document and Vector Space Model methods can find relevant documents according to the level of closeness or similarity, in addition to applying the Nazief-Adriani stemming algorithm can improve information retrieval performance by transforming words in a document or text to the basic word form. then the system indexes the document to simplify and speed up the search process. Relevance is determined by calculating the similarity values between existing documents by querying and represented in certain forms. The documents obtained, then the system sort by the level of relevance to the query.
EFFECT OF SELECTION OF CLASSIFICATION FEATURES C4.5 ALGORITHM IN STUDENT ALCOHOL CONSUMPTION DATASET Astuti, Tri; Handoko, Pungky Dwi Putra
IJIIS: International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.522 KB)

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.
COMMUNITY OPINION SENTIMENT ANALYSIS ON SOCIAL MEDIA USING NAIVE BAYES ALGORITHM METHODS Hariguna, Taqwa; Rachmawati, Vera
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.154 KB)

Abstract

The election of Governor is an election event for the Regional Head for the future of the region and the country. The Central Java Governor election in 2018 was held jointly on 27 June 2018, which was followed by 2 candidate pairs of the governor. Its many responses from people through twitter's social media to bring up opinions from the public. Sentiment analysis of 2 research objects of Central Java Governor 2018 candidates with a total of 400 tweets with each candidate being 200 tweets. The used of tweets are divided into 3 classes: positive class, neutral class and negative class. In this study the classification process used the Naive Bayes Classifier (NBC) method, while for data preprocessing is using Cleansing, Punctuation Removal, Stopword Removal, and Tokenisation, to determine the sentiment class with the Lexicon Based method produces the highest accuracy in the Ganjar Pranowo dataset with an accuracy of 87,9545%, Precision value is 0.891%, Recall value is 0.88% and F-Measure is 0.851% while Sudirman Said dataset has an accuracy rate of 84.322%, Precision value of 0.867%, Recall value of 0.843% and F-Measure of 0.815%. From these results, we can conclude that the Ganjar Pranowo dataset was higher compared to Sudirman Said's dataset.
SUPPORT SYSTEM FOR DETERMINATION OF LOW-INCOME STUDENTS SCHOLARSHIP (BSM) WITH TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) Aziz, Abdul; Kusuma, Bagus Adhi; Maselia, Afika
IJIIS: International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (617.792 KB)

Abstract

Muhammadiyah 3 Middle School in Purwokerto is the school that organizes the Low-Income Students Scholarship (BSM) program every first semester held in each new school year. During this time, processing student data and other equipment have been processed with manual calculations, as well as data storage using only Microsoft Excel. In selecting ranking, it still uses paper. The paper calculation on the selection of BSM recipients in the previous year is often lost and hard to find already needed, also there is no particular system for processing the data so that the subjective method is still needed by relying trusts on personal. The purpose of this study is the creation of a Decision Support System (DSS) application for Determining Low-Income Students Scholarship (BSM) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at Muhammadiyah 3 Middle School in Purwokerto so that the selection process of Low-Income Students Scholarship (BSM) can be used. So that it is right on target to students who are entitled to BSM and can store data safely. The system development method used is a waterfall.
COMPARATIVE METHOD OF WEIGHTED PRODUCT AND TOPSIS TO DETERMINE THE BENEFICIARY OF FAMILY HOPE PROGRAM Suhartono, Didit; Sari, Tika
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.522 KB)

Abstract

The Family Hope Program (PKH) is a government program that provides cash assistance to impoverished households. The implementation of PKH in Cimrutu Village has not been implemented optimally, namely prioritizing the targets of PKH participants who are not yet on targets. This happened because the officers in registering the poor were still using manual methods. To simplify the work and avoid miscalculation of data with the old system, a decision support system was built that could help make decisions on PKH recipients quickly and more accurately. The calculation method used is the Weighted Product (WP) method. Data collection methods used in this study were interviews and documentation. System development in this study uses waterfall through black-box testing. System design tools in the form of DFD and ERD. The software used in making this application is Visual Studio 2012, Xampp, and Crystal Reports. The programming language used is Java with its supporting database using MySQL. This decision support system is expected to be able to help officers in Cimrutu Village in selecting and determining communities that are eligible for PKH.
E-GOVERNMENT ASSET MANAGEMENT USING THE EXTREME PROGRAMMING Hariguna, Taqwa
IJIIS: International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : IJIIS: International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.307 KB)

Abstract

Village Asset Management is a village property derived from the original property of the village, purchased or acquired for the expense of the village's income and expenditure budget (APBDes) or other legitimate acquisition of rights. In this study is the management of the village assets Kebumen Baturraden subdistrict and The problems acquired are the recording of village assets and the realization of the budget of the village assets that are still written so it takes A long time, Therefore the purpose in This research is to help and facilitate management performance in village Asset listing. Methods of collecting data using observations, interviews and Library studies. System development method using the Extreme programming method consisting of four phases of system development, namely planning, design, coding and test. The result of this research is a Village Asset Management E-Government using the Extreme Programming method of the Kebumen Village case study. The conclusion of this research is that it can simplify the management and realization of village assets budget due to the two interconnected reporting are reports of budget realization and village Asset report.

Page 1 of 2 | Total Record : 19