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Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
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.
Arjuna Subject : -
Articles 226 Documents
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Enhanced Performance of Dynamic Neural Network Model using Wavelet Activation Functions Syamsul Bahri; Lailia Awalushaumi; Nurul Fitriyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p03

Abstract

Both static and dynamic adaptive neural networks have been broadly utilized in mathematical modeling and numerical analysis. This study aimed to enhance the accomplishment of Dynamic Neural Networks (DNN) models by applying wavelet functions as activation functions. Research that models and forecasts the intensity of solar radiation in Mataram City shows that combining B-Spline and Morlet wavelet activation functions can significantly increase the DNN model performance. Wavelet-DNN (W-DNN) was modeled with an identical architecture; the best showed the increase in the model achievement (0.7596 points for in-sample and 0.8502 points for out-sample data). Mainly for out-sample data, the model's performance using the W-DNN+ intervention model increased by 4.0492 points.
Refining Content-Based Segmentation for Prediction of Coffee Bean Quality Suhendro Yusuf Irianto
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 2 (2023): Vol. 14, No. 2 August 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i02.p04

Abstract

Coffee has substantial economic value and is a key foreign exchange source for numerous nations, including Indonesia. Moreover, it is a primary livelihood for many of the country's farmers. Recently, there have been challenges in accurately predicting the quality of coffee beans, primarily due to time, inconsistency, and imprecision issues. Consequently, this study delves into the application of region-growing segmentation and content-based image retrieval (CBIR) techniques to enhance the prediction of coffee bean quality. The proposed hybrid approach, which combines region growing and CBIR methods, aims to improve the precision for forecasting cacao bean quality. Additionally, the research introduces an automated tool that employs these hybrid techniques for quality prediction. The study conducted experiments using a dataset of 400 premium and 400 low-quality coffee beans sourced from the University of Syiah Kuala in Indonesia. The results of the experiments demonstrate a commendable precision rate of 85.4%, showcasing significant improvement compared to certain previous studies.
Computational Parallel on Simulation of Wave Attenuation by Mangrove Forest Putu Harry Gunawan; Irma Palupi; Nurul Ikhsan; Iryanto Iryanto; Naila Al Mahmuda
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p02

Abstract

Coastal ecosystems, specifically mangrove trees, safeguard coastal regions against natural disasters like erosion, floods, and tsunamis. Numerical simulations employing the Shallow Water Equation (SWE), encompassing mass and momentum conservation equations, are used to comprehend how mangroves attenuate wave energy. The SWE incorporates Manning's friction term, which is directly influenced by mangrove forests. However, the SWE's complexity and sensitivity to initial conditions hinder analytical solutions. Despite its increasing computational demands, we utilize the robust staggered grid method to address this challenge. Our study examines mangroves' wave-attenuating effects and introduces a parallel computational model using OpenMP to expedite computations. Findings reveal that mangroves can reduce wave amplitudes by up to 33% when employing a Manning's coefficient of 0.3 within confined basin simulations. Furthermore, our parallel computing experiments demonstrate substantial computation speed enhancements; the speedup improves up to a point, with a notable 7.26-fold acceleration observed when utilizing eight threads compared to a single line. Moreover, more than a 10-fold acceleration is observed when the number of threads is greater than 16. This underscores the significance of parallelization in exploring mangrove contributions to coastal protection.
The Optimization of the ARP Poisoning Attack Detection Model Using a Similar Approach Based on NetFlow Analysis Yohanes Priyo Atmojo; Dandy Pramana Hostiadi; I Made Darma Susila; Made Liandana; Gede Angga Pradipta; Putu Desiana Wulaning Ayu
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 2 (2023): Vol. 14, No. 2 August 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i02.p05

Abstract

Information security and threats are a concern in the cyber era. Attacks can be malicious activities. One of them is known as ARP poisoning attack activity, which attacks by falsifying a computer's identity through illegal access to retrieve confidential information in a target computer. Besides, it has also caused service deadlocks in the network. Previous studies have been introduced for the ARP Attack Detection model using rule-based and mining-based. Still, they cannot show optimal detection performance and obtain high false positive results. This paper proposed a detection model for ARP poisoning attacks using a similarity measurement approach adopting cosine similarity. The goal is to obtain measurements of host activities similar to ARP poisoning attacks. The experiment results showed that the model got an accuracy of 97.25%, recall of 96.43%, and precision of 81% with a similarity threshold value of 0.488. Comparison results with previous studies showed higher detection accuracy than previous studies and some classification methods. It shows that the model can improve intrusion detection performance and facilitate network administrators to analyze ARP poisoning attacks in computer networks.
Detecting Pests and Diseases in Plants Using Efficient Network Mardhiya Hayaty; Timur Haryo Mahissanular
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 2 (2023): Vol. 14, No. 2 August 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i02.p01

Abstract

The agricultural sector in Indonesia is still faced with low agrarian production caused by pests and diseases. Therefore, agricultural land that is still vulnerable to pests but can detect the development of pest attacks must be designed. This study uses the PlantVillage dataset. The dataset will go through the preprocessing stage for dimension adjustment, and then the result will be used for building the network. The results are evaluated using a confusion matrix and showed that the convolutional neural network performs well in image processing and obtains architectural optimization in its field. The method we propose is an Efficient Network by selecting the correct input size. Implementing an Efficient Network in the convolutional neural network architecture increases its F1-score to 93%, indicating that Efficient Network has a higher F1-Score than the baseline convolution neural network. Implementing this network architecture can quickly increase the CNN baseline to a more varied target resource while maintaining the efficiency of the resulting model.
The Influence Of Applying Stopword Removal And Smote On Indonesian Sentiment Classification Arif Bijaksana Putra Negara
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p05

Abstract

Information, like public opinions or responses, can be obtained through Twitter tweets. These opinions can expressed as a sentiment. Sentiments can be positive, neutral, or negative. Sentiment analysis (opinion mining) on a text can performed through text classification. This research aims to determine the influence of implementing Stopword Removal and SMOTE on the sentiment classification model for Indonesian tweets. The algorithms used in this research are Logistic Regression and Random Forest. Based on the evaluation, the best classification model in this research was achieved by implementing the Random Forest algorithm along with SMOTE, with an f1-score value of 75.03%. Meanwhile, implementing the Random Forest algorithm and Stopword Removal achieved the worst classification model, with an f1-score value of 68.09%. Implementing Stopword Removal in both algorithms has a negative impact in the form of a decrease in the resulting f1-score. Meanwhile, the performance of SMOTE provides a positive impact in the form of an increase in the resulting f1-score. This happened since Stopword Removal could reduce information and alter the meaning of processed tweets, causing the tweet to lose its sentiment.
Integrated Information System Smart E:Hospital the Innovation and Improvement of the Services and Management Hospital Oka Sudana; Dewa Made Sri Arsa; R. Arif Yudarmawan; I.D.A. Manik Mas Astawastini
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p01

Abstract

The use of technology can transform conventional systems into electronic-based systems. Electronic systems have been widely used in governance, organizations, and companies where administration is carried out electronically (e-Government). Hospitals usually already have systems in place, but they are not yet integrated, including integration with BPJS Services, EClaim, and the SATUSEHAT Platform, a new policy from the Ministry of Health Republic of Indonesia starting July 2022. BPJS integration includes diagnosis standards guided by Minister of Health Regulation No. 76 of 2016 concerning INA-CBGs Technical Guidelines, funds application to BPJS, cost proportions, and medical personnel fees. Another service at the Teaching Hospital is the management of Education for Professional Doctors (Co-ass) and Specialists (Residents). Another service at the Teaching Hospital is the management of Education for Professional Doctors (Co-ass) and Specialists (Residents). The solution provided is to create E-Hospital. It is an integrated hospital management information system with an SSO Model and Multi-Channel Access Technology for notification. This system consists of Front Office Modules, including Admission Queues, Medical Services, Pharmacy, Employment, Payroll and Medical Personnel Fees, Automatic integration with BPJS, EClaim, SATUSEHAT, Finance, and Warehouse and Equipment.
Mengenal Keunggulan dari Situs Teknologi Oktrik Rosari J
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 12 No 2 (2021): Vol. 12, No. 02 August 2021
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Situs Teknologi Oktrik adalah platform yang menyediakan berbagai layanan dan informasi seputar teknologi. Platform ini berfokus pada berbagai bidang seperti hardware, software, dan teknologi lainnya yang berhubungan dengan teknologi. Platform ini juga menyediakan berbagai informasi tentang strategi dan solusi teknologi yang berguna untuk para penggunanya. Situs Teknologi Oktrik memiliki berbagai keunggulan yang membuatnya menjadi salah satu platform yang banyak digunakan. Berikut adalah beberapa di antaranya. Aksesibilitas: Platform ini sangat mudah diakses oleh pengguna. Pengguna dapat mengakses situs ini melalui berbagai perangkat komputer, laptop, tablet, dan smartphone. Selain itu, platform ini juga tersedia dalam berbagai bahasa, sehingga memudahkan pengguna untuk mencari informasi yang mereka butuhkan. Berbagai Konten: Situs Teknologi Oktrik menyediakan berbagai konten berupa tutorial, artikel, video, dan lain-lain. Konten yang tersedia di platform ini sangat berguna bagi para penggunanya untuk mempelajari dan meningkatkan pengetahuan mereka tentang teknologi. Forum Diskusi: Platform ini juga menyediakan forum diskusi yang memungkinkan para pengguna berbagi informasi dan ide tentang teknologi. Forum ini juga berguna bagi para pengguna untuk bertukar pendapat tentang berbagai topik teknologi. Layanan Pelanggan: Platform ini juga menyediakan layanan pelanggan yang handal dan responsif. Layanan ini membantu pengguna untuk mendapatkan informasi yang mereka butuhkan tentang teknologi dengan cepat dan mudah. Layanan Berlangganan: Situs Teknologi Oktrik juga menyediakan layanan berlangganan bagi para pengguna. Dengan layanan ini, para pengguna dapat mendapatkan informasi yang mereka butuhkan tentang teknologi dengan lebih cepat dan mudah. Dengan berbagai keunggulan yang ditawarkan oleh Situs Teknologi Oktrik https://www.oktrik.com/, platform ini bisa menjadi salah satu platform yang banyak digunakan oleh para pengguna teknologi. Platform ini juga membantu para pengguna untuk mempelajari dan meningkatkan pengetahuan mereka tentang teknologi dengan mudah dan cepat. Bagaimana Oktrik Berbeda dari Situs Teknologi Lain Oktrik adalah salah satu situs teknologi yang berbeda dari situs teknologi lain. Oktrik menawarkan berbagai inovasi baru yang memungkinkan akses ke berbagai layanan yang berbeda, termasuk penyimpanan dan layanan berbasis web. Oktrik memungkinkan pengguna untuk mengakses berbagai layanan yang berbeda secara cepat dan mudah. Oktrik berbeda dari situs teknologi lain karena memungkinkan pengguna untuk menyesuaikan layanan dan aplikasi yang mereka gunakan. Oktrik menggunakan model layanan berbasis web, yang memungkinkan pengguna untuk mengintegrasikan berbagai layanan dan aplikasi ke dalam satu sistem. Ini memungkinkan pengguna untuk menyesuaikan layanan dan aplikasi yang mereka gunakan dengan mudah. Oktrik juga berbeda dari situs teknologi lain karena memungkinkan pengguna untuk mengakses berbagai layanan dalam satu aplikasi. Ini memungkinkan pengguna untuk mengakses berbagai layanan tanpa harus mengunduh berbagai aplikasi. Dengan cara ini, pengguna dapat lebih mudah mengakses berbagai layanan yang mereka butuhkan. Selain itu, Oktrik juga memungkinkan pengguna untuk menyimpan data mereka di dalam berbagai layanan yang berbeda. Ini memungkinkan pengguna untuk mengakses data mereka dimanapun mereka berada, dengan mudah dan aman. Oktrik juga memiliki kemampuan untuk memungkinkan pengguna untuk berbagi data dengan orang lain. Ini memungkinkan pengguna untuk berbagi data secara cepat dan aman. Oktrik juga menawarkan beberapa fitur unik yang memungkinkan pengguna untuk mengintegrasikan berbagai layanan dan aplikasi ke dalam satu aplikasi. Fitur ini memungkinkan pengguna untuk menyesuaikan layanan dan aplikasi yang mereka gunakan dengan mudah. Oktrik juga memiliki beberapa fitur keamanan untuk melindungi data pengguna. Fitur ini memungkinkan pengguna untuk mengamankan data mereka dengan mudah dan aman. Jadi, Oktrik memang berbeda dari situs teknologi lain. Dengan berbagai fitur unik dan keamanan yang ditawarkan, Oktrik merupakan pilihan yang baik untuk pengguna yang ingin mengakses berbagai layanan yang berbeda dengan mudah dan aman.
Quickly Assess the Acceptability Sentiment of White Paracetamol Intake Using KNN-SMOTE Based On Receptive Deciding Rio Andika Malik; Faizal Riza; Sarjon Defit
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 15 No 1 (2024): Vol. 15, No. 1 April 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i01.p05

Abstract

This research aims to develop a fast and adaptive sentiment evaluation approach related to the use of white paracetamol using a combination of the K-Nearest Neighbors (KNN) algorithm, Synthetic Minority Over-Sampling Technique (SMOTE), and the Receptive Deciding concept. Imbalances in the dataset, where positive sentiment may predominate, are addressed through the use of SMOTE to synthesize minority class samples. The KNN algorithm is applied to build a sentiment classification model, while Receptive Deciding is used to provide adaptive intelligence to changes in sentiment. The SMOTE oversampling process is carried out to achieve class balance, while KNN is used to classify sentiment. Receptive Deciding is applied to increase the model's adaptability to changes in sentiment. The research results show that the integration of the SMOTE, KNN, and Receptive Deciding methods provides an effective approach in assessing sentiment accurately and adaptively. The developed model is able to recognize changes in sentiment over time and provide balanced evaluation results. These findings are expected to contribute to understanding public sentiment towards the use of white paracetamol, as well as being the basis for developing more effective health communication strategies.
Sentiment Analysis of Indonesian Youtube Reviews About Lesbian, Guy, Bisexual and Transgender (LGBT) using IndoBERT Fine Tuning Teddy Oswari; murniyati murniyati; Tristyanti Yusnitasari; Nurasiah Nurasiah; Seviyanti Wijay
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 15 No 1 (2024): Vol. 15, No. 1 April 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843//LKJITI.2024.v15.i01.p03

Abstract

Lesbian, gay, Bisexual, and Transgender (LGBT) is an individual who has a sexual orientation or gender identity that is different from the heterosexual majority. The LGBT community now dares to appear openly on social media; nowadays, social media is used as a source of information and a place to provide comments. The Indonesian state generally still views the LGBT community as deviant behavior. This research was conducted to understand Indonesian society's views on LGBT through YouTube and social media. The text mining method analyzes and classifies the counter or pro sentences expressed in the comments. The model used in this research is IndoBERT because the research object studied is Indonesian. IndoBERT is part of the Bidirectional Encoder Representation From Transformers (BERT) model. The data sources used were 1,493 data. The stages carried out in this research included the preprocessing stage, which included case folding, data cleaning, tokenization, stopword removal, stemming, and normalization, then the data labeling stage, and finally, the model building stage with IndoBERT Fine Tuning. The level of accuracy achieved using IndoBERT is 74%.

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