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Lontar Komputer: Jurnal Ilmiah Teknologi Informasi

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Published by Universitas Udayana

ISSN : 20881541 EISSN : 25415832 DOI : 10.24843/LKJITI

Core Subject : Science,

Computer Science & IT

Lontar Komputer [ISSN Print 2088-1541] [ISSN Online 2541-5832] is a journal that focuses on the theory, practice, and methodology of all aspects of technology in the field of computer science and engineering as well as productive and innovative ideas related to new technology and information systems. This journal covers research original of paper that has not been published and has been through the double-blind reviewed journal. Lontar Komputer published three times a year by Research institutions and community service, University of Udayana. Lontar Komputer already indexing in Scientific Journal Impact Factor with impact Value 3.968. Lontar Komputer already indexing in SINTA with score S2 and H-index 5.

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Articles 6 Documents

Search results for , issue "Vol. 10, No. 2 August 2019" : 6 Documents clear

Optimalisasi SVM Berbasis PSO dan AdaBoost untuk Meningkatkan Akurasi Diagnosis CKD Amanah Febrian Indriani; Much Aziz Muslim
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 2 August 2019
Publisher : Institute for Research and Community Services, Udayana University

Classification is data mining techniques which used for the purposes of diagnosis in the medical field as measured by the high accuracy produced. The accuracy of classification algorithm is influenced by the use of features and dimensions in dataset. In this study, Chronic Kidney Disease (CKD) dataset was used where the data is one of the high dimension datasets. Support Vector Machine (SVM) algorithm is used because its ability to handle high-dimensional data. In the dataset, it consists of 24 attributes and 1 class which if all are used results accuracy of classification will be diminished. Method for selecting features with Particle Swarm Optimization (PSO) is applied to reduce redundant features and produce optimal features. In addition, ensemble AdaBoost also applied in this research to increase performance of entirety classification algorithm. The results showed that the optimization of SVM algorithm by using PSO as a selection and ensemble feature of AdaBoost with an average of selected features of 18 features could increase the accuracy of 36.20% to 99.50% in the diagnosis of CKD compared to the SVM algorithm without optimization only resulting in accuracy 63.30%. This research can be used as a reference for further research in focusing on the preprocessing stage.

Web Scraping and Winnowing Algorithms for Plagiarism Detection of Final Project Titles Neng Ika Kurniati; Alam Rahmatulloh; Ridwan Nur Qomar
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 2 August 2019
Publisher : Institute for Research and Community Services, Udayana University

Plagiarism in research can occur due to accident or intentional. Plagiarism is an act that violates copyright and includes actions that harm others. In submitting the title of the research, for example, for the final assignment research, not a few students who repeatedly submitted titles were rejected and considered doing plagiarism because the title proposed had already existed before. Then we need a system that can detect the similarity between the titles to be submitted and the existing titles so that it is expected to reduce the occurrence of plagiarism. This study uses a winnowing algorithm to find the percentage similarity between titles. The Google Scholar will be used to obtain data on research titles that have been previously available as comparison titles. Web scraping with CURL (Client URLs) and simple HTML DOM parser is used to retrieve title data from Google Scholar. The results of the study with the application of a Winnowing algorithm to find the percentage similarity to data from Google Scholar were able to present a percentage of similarities in percent with the category of mild, moderate or severe plagiarism, while also helping early detection as prevention of plagiarism.

Design of Autonomous Quadcopter Using Orientation Sensor with Variations in Load Fulcrum Point Ratna Aisuwarya; Fitra Marta Yonas; Dodon Yendri
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 2 August 2019
Publisher : Institute for Research and Community Services, Udayana University

In designing the quadcopter, the main focus is stability and balance. Thus, in the more specific implementation, for example for aerial photography, a quadcopter can also be used as a load carrier. To be able to balance the quadcopter equipped with an orientation sensor on the controller, the orientation sensor includes a gyroscope sensor, accelerometer, and magnetometer. For this reason, it is necessary to have an autonomous stabilizer mechanism that can make the quadcopter stay in a stable and balanced condition even with the additional load. Furthermore, in this research, we will discuss how to determine the PID set points for quadcopter balance that can be tested on loads with different fulcrums. The test is limited to the condition of the quadcopter being hovered for pitch and roll angles. Based on the testing results, it can be concluded that there is a stability response in the Quadcopter. It can be seen from the RMS value obtained that it is by the steady-state tolerance of 2% -5% of the setpoint. Then, the Quadcopter can carry the maximum load with different fulcrums; 950g for fulcrum in the middle of the quadcopter, 580g for the load is placed 6 cm from the middle of the quadcopter, and 310g if the load is placed on one motor.

Understanding Behavioral Intention in Implementation of the ICTs Based on UTAUT Model Krismadinata Krismadinata; Nizwardi Jalinus; Hafeasi Pitra Rosmena; yahfizham yahfizham
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 2 August 2019
Publisher : Institute for Research and Community Services, Udayana University

Innovation on Information Communication and Technology (ICT) are not suddenly accepted and directly used by individuals in work and workplace, even some individuals refuse to work using adoption ICTs. Therefore this research needs to be done to reveal what factors influence this attitude. This article aims to analysis variables or factors such as performance expectancy (PE) as X1, effort expectancy (EE) as X2, social influence (SI) as X3 and facilitating condition (FC) as X4 that contribute to the behavioral intention (BI) as Y of individual in accepted or rejected innovation based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model perspective. The method was applied factor analysis. A technique of collecting data using the checklist of questionnaire instrument, with total the population of 85 people, then according to tables of Isaac and Michael obtained the sample of 68 respondents who came from the Government Employees in the Disdikpora Dharmasraya Regency. The data were analyzed with the software tools of the Statistical Package for the Social Sciences (SPSS) version 22. The data collection time starts from November to December 2018. We found that X1, X2, X3, and X4 have significant effects on user acceptation based on UTAUT model.

Programmer Selection Using Modified Fuzzy Mamdani Method Abdul Manan; Victor Wiley; Thomas Lucas
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 2 August 2019
Publisher : Institute for Research and Community Services, Udayana University

Selection of candidate of the programmer is a complex and tiring process. Software development manager must work hard to guarantee that only qualified candidates will be selected. This study the parameters needed by the programmer are proper and adequate knowledge, skills, attitudes, and productivity. Knowledge, skills, attitudes, and productivity are the four competencies that every programmer must-have. The four components above are very important in developing an IT company. This study proposes a classification model of programmer selection based on certain criteria, parameters, and attributes. This study modifies the Fuzzy Mamdani Method as the approach for determining the feasibility of the programmer. The proposed model has satisfied result of percent of accuracy with 75.57% level. The result indicates that the proposed model has produced a sufficient solution to be used in the real situation for selecting the feasible programmer.

Road Quality Assessment Using International Roughness Index Method and Accelerometer on Android Eko Budi Setiawan; Hadi Nurdin
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 2 August 2019
Publisher : Institute for Research and Community Services, Udayana University

The quality of road conditions can determine comfort in driving. To find out the condition of a road whether it has good surface quality, it can use an accelerometer sensor contained in an android smartphone. This research uses the International Roughness Index (IRI) method combined with the accelerometer sensor and the Global Positioning System (GPS). Application of the results of this study can be used to facilitate the contractor maker and road repair, so they can find out which points need to be repaired. Testing is done using two different vehicles, car and motorcycle. Smartphones with road quality detection applications are attached to the car and motorcycle vehicles using a phone holder. This is to record vibration that occurs while the vehicle is moving based on road conditions. The vibration recording results are then validated in a visual observation to determine the accuracy of the assessment results. Based on the test results the level of accuracy on the car is 90% and the motorcycle is 30%.

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Journal Mail Official lontarkomputer@unud.ac.id

Editorial Address Research institutions and Community Service, University of Udayana, Kampus Bukit Jimbaran Bali

Location Kota denpasar, Bali INDONESIA

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Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
lontarkomputer@unud.ac.id

Editorial Address
Research institutions and Community Service, University of Udayana, Kampus Bukit Jimbaran Bali

Location
Kota denpasar,

Bali

INDONESIA