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Taqwa Hariguna
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Puri Mersi Baru, Jl.Martadireja II, Gang Sitihingil 3 Blok A No 2, Purwokerto Timur, Jawa Tengah
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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,
Computer Science & IT
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 106 Documents
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Community Opinion Sentiment Analysis on Social Media Using Naive Bayes Algorithm Methods Taqwa Hariguna; Vera Rachmawati
International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.11

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) Abdul Azis; Bagus Adhi Kusuma; Alfika Maselia
International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.2

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.
Factors Affecting Energy Efficiency and CO2 Reduction in The Manufacturing Firms of Thailand Worawit Janchai; Anurak Panyanuwat
International Journal of Informatics and Information Systems Vol 3, No 2: September 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i2.69

Abstract

Objective: The current study investigated the effects of management commitment, energy awareness, energy knowledge, energy audit towards energy efficiency which was further examined towards CO2 reduction in manufacturing firms of Thailand.Methodology: The sample of this study was gathered from manufacturing firms of Thailand and the sample size was 148 responses. The data was collected in a quantifiable manner and was analyzed using PLS-SEM.Findings: The paper should that energy audits have a positive and significant effect on energy efficiency. Energy awareness has a positive and significant effect on energy efficiency. Energy efficiency has a positive and significant effect on CO2 reduction. Energy knowledge has a positive and significant effect on energy efficiency. The management committee has a positive and significant effect on energy efficiency.Recommendations: Investing in human resource growth provides signs of determination to produce the desired results and, combined with administration encouragement and determination, the expected success can be achieved.
Comparative Method of Weighted Product and TOPSIS to Determine The Beneficiary of Family Hope Program Didit Suhartono; Tika Sari
International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i2.16

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 Taqwa Hariguna; Mirra Tsamara
International Journal of Informatics and Information Systems Vol 2, No 1: March 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i1.1

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.
A Propose Model Optimal Supply Chain Distribution Network for Farmer Industrial Ammar Salamh Mujali Al-Rawahna; Anas Yahya Bader Al Hadid
International Journal of Informatics and Information Systems Vol 3, No 2: September 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i2.62

Abstract

A supply chain should be operated in the most efficient way in a highly competitive environment, with the goals of cost minimization, shipment delays, inventories and expenditures, and distribution maximization, gain, return on investment, level of customer support, and efficiency. The development of supply-chain distribution networks is therefore an extremely complex task, due to the large physical production and distribution network flows, the uncertainties associated with external interface customers and suppliers as well as the non-linear dynamics linked to internal information flows. This study aims to address a problem in domestic distribution in a supply chain system that includes manufacturers, distribution centers and consumer zones to determine the optimum configuration of the network. We propose a mixed integer linear programming model to solve the problem.
Decision Support System to Determine the Achievement of Students Using Simple Multi-Attribute Rating Technique (SMART) Abdul Jahir; Ito Setiawan; Anisa Dayu Arta
International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i2.12

Abstract

The problem is in determining the achievement of students by organizing the consultation between teachers. The purpose of this research is to assist the decision-making process of determining the achievement of students with SMART method implementation. The methods of collecting data are interviews, documentation, and observations. The method of system development used is the waterfall method by using the system design tools in the form of DFD and ERD. The software used in the creation of this application is Visual Studio and SQL server express. The results of this study are SMART ranking methods. The decision support process is more objective because it complies with predefined criteria.Decision Support System to Determine the Achievement of Students Using Simple Multi-Attribute Rating Technique (SMART)
Analysis of Data Mining Using K-Means Clustering Algorithm for Product Grouping Mohammad imron; Uswatun Hasanah; Bahrul Humaidi
International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.3

Abstract

Rizki Barokah Store is one of the stores that every day sell a variety of basic materials of daily necessities such as food, drinks, snacks, toiletries, and so on. However, some problems occur in the Rizki Barokah Store is often a build-up of product stocks that resulted in the product has expired. This is due to an error in making decisions on the product stock. In addition to these problems, with the amount of sales data stored on the database, the store has not done data mining and grouping to know the potential of the product. Whereas data-processing technology can already be done using data mining techniques. To overcome the period of the land, the technique used in data mining with the clustering method using the algorithm K-means. With the use of these techniques, the purpose of this research is to grouping products based on products of interest and less interest, advise on the stock of products, and know the products of interest and less demand.
The Impact of Dynamic Capabilities and Information System on Organizational Effectiveness in Cellular Communication Companies in Jordon: Mediating Role of Organizational Ambidexterity Atif Aziz; Ramsha Zaki; Syed Ehsan Ullah
International Journal of Informatics and Information Systems Vol 3, No 2: September 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i2.68

Abstract

The goal of the ongoing research is to examine the impact of dynamic capabilities such as exploitation capability, exploration capability and information system on the organizational effectiveness of cellular communication firms in Jordan. The examination of the mediating role of organizational ambidexterity among the nexus of dynamic capabilities such as exploitation capability and exploration capability and organizational effectiveness is also included in the goals of the ongoing research. The quantitative method of data gathering has been utilized by the researchers to collect the data from the employees of the cellular communication firms currently operating in Jordan while AMOS has been used for the purpose of analysis. The results exposed that the positive nexus has been found among the nexus of dynamic capabilities, organizational ambidexterity, and organizational effectiveness. The results also revealed that the organizational ambidexterity has positive mediating among the links of dynamic capabilities such as exploitation capability and exploration capability on organizational effectiveness. These findings are suitable for the regulation developing authorities that they should develop and implement the effective regulation related to the dynamic capabilities and organizational ambidexterity that enhance the organizational effectiveness of the firm.
Application of Data Mining Classification Method for Student Graduation Prediction Using K-Nearest Neighbor (K-NN) Algorithm Mohammad Imron; Satia Angga Kusumah
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%.

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