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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 8 Documents

Search results for , issue "Vol. 9, No. 3 December 2018" : 8 Documents clear

Electrical Daily Load Forecasting In Ramadhan Using Type-2 Fuzzy Logic In Sulselrabar System Marhatang Marhatang; Muhammad Ruswandi Djalal; Herman Nawir; Sonong Sonong
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

This study discusses the daily electricity load forecasting 24 hours on 150 kV electric power systems sulselrabar. Forecasting electrical load requires the accuracy of the results with a small error. Peak load forecasting methods used to use smart methods Interval Type-1 Fuzzy Logic (IT1FL) and Interval Type-2 Fuzzy Logic (IT2FL) to predict the needs of the electrical load 1 Ramadan 2016. As input data, it was used load data from 2012 through 2016 for the same day each 1st of Ramadan each year, and as comparative data, it was used actual load data 1, 2016. For the Ramadan input variable, it was used two of the data Variation Load Difference (VLD Max) 2015 as an input variable X, VLD Max 2016 as an input variable Y. From the simulation results obtained highly accurate results where each method produces a very small error, where for methods of using IT1FL of 1.607778264% while using IT2FL by, 1.344510913%.

The Comparasion Determining of Some Route of Angkot In Bandung by Using Greedy Algorithm and Min Plus Algorithm Eka Susilowati
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

Bandung is one of the major cities in Indonesia. The lower middle class is greatly helped by public transportation. Angkot is transportation that is close to the people. However, public transportation services that are less organized can make people switch to using private transportation. This actually has a bad impact on traffic. Thus, there need to be improvements in public transportation in the city of Bandung. One-way roads in the city of Bandung are also the cause of many angkot routes. The choice of public transportation users to choose an efficient angkot route. Efficient here means a short path so that the travel time to the destination is minimal. In the previous article, the Cicaheum Ciroyom and Ujung Berung ITB angkot routes were obtained using the Greedy algorithm. In this discussion, the algorithm that can be used to determine angkot routes in Bandung is the Min-Plus algorithm. After being compared between the Greedy algorithm and the Min plus algorithm, the resulting angkot algorithm is better obtained by the Min Plus algorithm.

Implementation of Parallel Processing on Multi-Object Recognition System Software Midriem Mirdanies
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

Multi-object recognition software on Remote Controlled Weapon Station (RCWS) had been implemented in previous paper using Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF) methods, but the processing time in one cycle is quite slow so it is need to be optimized using parallel processing. In this paper, implementation of parallel processing on multi-object recognition software has been done on a multicore processor. The Openmp Application Programming Interface (API), C programming language, and Visual studio Integrated Development Environment (IDE) is used to implement the parallel processing in this paper. The parallel processing was implemented in the for loop of the matching process between the capturing object from the camera and the database under two conditions, i.e., the original of the for loop syntax and after optimization of the for loop syntax. Experiments have been done on the core processor i7-4790 @ 3.60Ghz, 8 GB DDR3 of memory, windows 8.1 os using two, four, six, and eight cores to recognize one, two, three and four objects at once using SIFT and SURF methods. Based on the experiments, it was found that the processing time in parallel is faster than sequential process, where the fastest of the processing time is obtained after optimization in the loop syntax, with the processing time in recognizing one to four objects using SIFT method is 927.13 ms (8 core), 1019.31 ms (6 core), 1190.72 ms (8 core), and 1283.05 ms (4 core), where the sequential processing time in recognizing one to four objects is 1067.35 ms, 1164.78 ms, 1352.93 ms, and 1497.35 ms, while the processing time in recognizing one to four objects using SURF method is 1157.13 ms (8 core), 1517.83 ms (6 core), 1572.14 ms (4 core), dan 1472.64 ms (6 core), where the sequential processing time in recognizing one to four objects is 5635.99 ms, 6268.47 ms, 3256.63 ms, dan 3883.78 ms.

Dimensionality Reduction using PCA and K-Means Clustering for Breast Cancer Prediction Ade Jamal; Annisa Handayani; Ali Akbar Septiandri; Endang Ripmiatin; Yunus Effendi
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

Breast cancer is the most important cause of death among women. A prediction of breast cancer in early stage provides a greater possibility of its cure. It needs a breast cancer prediction tool that can classify a breast tumor whether it was a harmful malignant tumor or un-harmful benign tumor. In this paper, two algorithms of machine learning, namely Support Vector Machine and Extreme Gradient Boosting technique will be compared for classification purpose. Prior to the classification, the number of data attribute will be reduced from the raw data by extracting features using Principal Component Analysis. A clustering method, namely K-Means is also used for dimensionality reduction besides the Principal Component Analysis. This paper will present a comparison among four models based on two dimensionality reduction methods combined with two classifiers which applied on Wisconsin Breast Cancer Dataset. The comparison will be measured by using accuracy, sensitivity and specificity metrics evaluated from the confusion matrices. The experimental results have indicated that the K-Means method, which is not usually used for dimensionality reduction can perform well compared to the popular Principal Component Analysis.

Prioritas Baru untuk sistem Produksi Pakan ternak sapi Perah menggunakan Fuzzy AHP Puspa Ayu Indah Prameswari
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

Management criteria can be used as the deciding device of the performance of dairy cows feed production system successfulness by prioritizing those criteria, and it can be used as an improvement step. The aim of this study was to determine the priority of management criteria and established the improvement step to increase the performances of the dairy cows feed production system in Batu, East Java by prioritizing four management criteria (Planning, Organizing, Directing, and Controlling). The method used the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) which is a combination of two methods, Analytic Hierarchy Process (AHP) and fuzzy logic. Fuzzy AHP is proposing an evaluation tool which inherits advantages from that two methods. Fuzzy AHP will translate decisions makers comparison judgment into the fuzzy number. There were three highest priorities for management criteria, namely goal planning for the long-term from planning criteria, divisions of work from organizing criteria, and activator from controlling criteria. It was concluded that those three highest management criteria could be established as an improvement step for the performances of dairy cows feed production system.

The Online Journal Aggregator System Design Using User Centered Design (UCD) Approach Irawan Afrianto; Sufa Atin; Andri Heryandi; Lia Warlina
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

Journal as a medium to explain the results of research. It has developed in such a way especially because of the rapid support of information and communication technology today. Various models of online-based journaling management can be easily operated by journals managers as well as writers / researchers who will include research results in the journal. It's just that with the number of journals that exist today, causing difficulties for the manager of journals to be able to promote the journals he managed, in addition to the manager of the journal sometimes difficult to get a researcher who would put his paper into the journal he manages. Meanwhile, with the number of journals that have been online, researchers will find it difficult to get information from the journals. Researchers should open their journal entries, read their profiles and publications, until they are interested to include papers in the journal. This problem is the background of the development of online journals aggregator system, which with this system will facilitate the meeting between journals, journal managers and writers or researchers. In order to develop an online journal aggregator system, a software development method is needed that directly captures the needs of its users. This study aims to implement the UCD method in the functional design and interface of the aggregator journal system. In order to determine the level of acceptance and support of prospective users of the aggregator journal system. Measurements were taken using Likert method with user acceptance preferences for 3 aspects of the system, namely: accessibility, navigation, and content aspects. The measurement results show 82% of prospective users state that the functional design and interface of the aggregator journal system can be accepted and can be developed to the next stage.

Intelligent Baby Box Based on IoT to Observe Room Temperature and Baby Crying Dani Sasmoko; Dzyo Bachtiar
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

Internet of Things (IoT) connects a global infrastructure in communities so they can take benefit of advanced services, by connecting objects (things) both physical and virtual with the Internet so that objects can communicate each other. The object of this study is a baby box to control the baby’s condition. When the baby cries too long it may cause Baby Distressed Tantrum which is the feeling of being depressed in the baby because they feel ignored. If this happens for a long time will endanger the baby's health as it is related to respiratory function and cardiac performance. The function of the baby box is to observe a baby when left without supervision. It will enable users to know if the baby is sleeping, awake or crying. Leaving a crying baby too long may have a negative effect. By applying the Internet of Things (IoT) in the design of an intelligent a baby box will help the parents and babysitter in controlling the baby if they have other activities to do. The baby box monitoring system has a dht11 temperature and humidity sensor, and a noise sensor to detect the baby crying. An esp8266 module on Wemos d1 will send data to an android smartphone and notify the user by sound or vibration.

Experimental Investigation of Frozen Solid State Drive on Digital Evidence with Static Forensic Methods Imam Riadi; Rusydi Umar; Imam Mahfudl Nasrulloh
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 3 December 2018
Publisher : Institute for Research and Community Services, Udayana University

The rapid development of computer technology in hardware, is currently developing non-volatile computer storage media Solid State Drive (SSD). SSD technology has a faster data access speed than Hard Disk and is currently starting to replace Hard Disk storage media. Freezing software on computer systems is often carried out by computer technicians, because it can save a computer maintenance costs due to errors, be exposed to computer viruses or malware. This software is used to prevent unwanted changes to the computer system, when the computer is restarted changes that occur in the computer system will not be stored on storage media. When this happens, what should be done by digital forensic investigators. This study discusses experimental forensic investigations on SSD media storage with frozen conditions or in this study said the frozen SSD. Frozen SSD is the condition of the drive that is locked so that there is no change in the computer system. Software used to lock and prevent changes such as Deep Freeze, Shadow Defender, Windows Steady State, and Toolwiz Time Freeze. Forensic research stages using methods NIST. The result shows that from comparative analysis conducted with Deep Freeze the results of the RecoverMyFile gives 76.38% and Autopsy gives 75,27%, while frozen condition with Shadow Defender the results of the RecoverMyFile gives 59.72% and Autopsy gives 74.44%. So the results of this study indicate the drive freezing software has an effect obtained can be an obstacle in the digital forensic process.

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

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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