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Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Published by Universitas Pendidikan Ganesha
ISSN : 20898673     EISSN : 25484265     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Engineering
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) is a collection of scientific articles in the field of Informatics / ICT Education widely and the field of Information Technology, published and managed by Jurusan Pendidikan Teknik Informatika, Fakultas Teknik dan Kejuruan, Universitas Pendidikan Ganesha. JANAPATI first published in 2012 and will be published three times a year in March, July, and December. This journal is expected to bridge the gap between understanding the latest research Informatika. In addition, this journal can be a place to communicate and enhance cooperation among researchers and practitioners.
Arjuna Subject : -
Articles 646 Documents
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Date Palm Identification using DenseNet-201 Transfer Learning Method Kusnadi Bin Raman; Agus Subekti
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.65932

Abstract

There are more than 400 types of dates in the world that are similar in size, shape, colour, fruit texture, taste and maturity, making it difficult for people to memorise them. Identification with artificial intelligence can make labelling dates easier. This research proposes the DenseNet-201 transfer learning method with freeze all the pre-trained layers, re-train all the pre-trained layers, and hyperparameter models for date variety identification. The date dataset was collected from the market with a total of 3,300 images of 11 types of dates, including Ajwa, Bam, Golden, Khalas, Khenaizi, Lulu, Mabroum, Medjool, Safawi, Sukari and Tunisian. The purpose of the research is to identify, analyse the test images and compare and recommend the best performance model to identify the type of dates. The experimental results have resulted in the recommendation that the DenseNet-201 method with the hyperparameter model shows the best performance with an accuracy value of 99.39%.
Document Validation for Cooperation Agreement Documents at The Undiksha Cooperation and Public Relations Agency (Badan Kerja Sama dan Kehumasan) using Local Binary Pattern (LBP) and YOLOv5 Methods Komang Jepri Kusuma Jaya; Made Windu Antara Kesiman; I Made Dendi Maysanjaya
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.66070

Abstract

A cooperation agreement document managed by BKK Undiksha is a conventionally managed document. With the implementation of the Kampus Merdeka - Merdeka Belajar curriculum in 2021, the number of incoming cooperation agreement documents has increased rapidly, making the collection of document data much longer and inefficient. Therefore, there is a need for a scheme that can automatically validate collaboration documents. The document validation scheme was developed using the Local Binary Patterns and YOLOv5 methods. The data used in the development is primary data from BKK Undiksha in 2021, where two agencies collaborate. The development result is the document validation model collaboration using the Local Binary Pattern and YOLOv5 methods with the best accuracy results of 95.36%, and the ability of the model to detect the number of seal, stamp and signature components is 90.73%.
Development of Interactive Media on The Root Material of Numerical Nonlinear Equations Using Geogebra and Ethercalc Cahya Kamila Maulida; R. Ati Sukmawati; Mitra Pramita
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.67125

Abstract

This study aims to develop web-based interactive learning media by utilizing geogebra and ethercalc on the topic of determining the roots of non-linear equations numerically and evaluating their validity through material and media validity tests. The development method used is Research and Development (R&D) with the limited ADDIE development model. The data was collected through material and media validation sheets filled out by two experts. The results of the data analysis show that interactive web-based learning media for the topic of roots of nonlinear equations are developed with technologies such as HTML, CSS, Bootstrap, JavaScript, JQuery, Geogebra, Ethercalc, MathJax, Firebase, Figma, Adobe Illustrator, Canva, CapCut, and Netlify. The results of the material validity reached 84% with a high level of validity, while the media validity was 82% with a fairly high level of validity. There are several suggestions from media and material validators, namely improving the instructions for carrying out exercises and evaluations. With these results, after being repaired the learning media is ready to be tested.
Improving the Performance of the General Course Scheduling System at UPN Veteran Jawa Timur through the Application of the IWCFPSO Algorithm Made Hanindia Prami Swari; Chrystia Aji Putra; I Putu Susila Handika; Dwi Wahyuningtyas
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.68128

Abstract

Algorithm selection is the main key in producing a system, especially an artificial intelligence-based system, for example, a course scheduling system that involves many constraints in producing an optimal schedule. This research develops a scheduling system using the ICWFPSO algorithm which is a development from previous research, namely the development of a scheduling system using the MIPSO algorithm. The use of inertia weight in the MIPSO algorithm which is used as a scheduling algorithm in previous research can be optimized by using a combination of inertia weight and constriction factor. Scheduling system development is carried out using the waterfall method with research steps namely problem and needs analysis, data collection and literature study, system design, system implementation, and ends with testing the performance of the algorithms that are applied to the scheduling system that is built. Based on the tests carried out, it can be concluded that the ICWFPSO algorithm provides 2 times better performance compared to the MIPSO algorithm in terms of optimal schedule generation time. Meanwhile, tests carried out on CPU and RAM usage showed that there was no significant impact on these two parameters through the implementation of MIPSO and ICWFPSO in the course scheduling system created. Keywords: best scheduling, ICWFPSO, number of iterations
Application of Lung Diseases Detection based on CSLNet Panji Bintoro; Zulkifli Zulkifli; Fitriana Fitriana; Sukarni Sukarni; Abdullah Abdullah
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.68815

Abstract

Lung diseases caused by fungal or bacterial infections can lead to inflammation in lung and even death when not detected early. A standard method for diagnosing lung diseases is the use of chest X-ray, which require careful examination of X-ray images by a radiology expert. Therefore, this study proposes several new architecture models, namely CSLNet, to classify chest X-ray images for diagnosing whether patients suffer from COVID-19, viral pneumonia, bacterial pneumonia, tuberculosis, and normal. The experimental results show that the model has an 0.99 average Accuracy, 0.98 Precision, 0.98 Recall, and 0.98 f1-score. Meanwhile, the Receiver Operating Characteristic (ROC) for bacterial pneumonia, COVID-19, normal, tuberculosis, and viral pneumonia are 0.97, 0.99, 0.99, 0.94, and 0.97 respectively. This study is based on a deep learning with a new model, CSLNet, which can work well on the dataset of chest X-ray images used for diagnosing lung diseases.
Usability Testing on The Mobile Gras (Green Trash System) Application Using The Usability Scale System Method I Gusti Made Ngurah Desnanjaya; I Kadek Budi Sandika; Ida Bagus Gede Sarasvananda; Putu Wirayudi Aditama; I Komang Arya Ganda Wiguna
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.68930

Abstract

This study focuses on the GRAS (Green Trash System) mobile application, developed under the KEDAIREKA program to enhance waste management efficiency. The application is an integral part of the GRAS smart waste system, designed to facilitate real-time monitoring and reporting of waste capacity issues. The primary objective is to streamline waste sorting processes and educate users, particularly students, about sustainable waste management practices. The system features innovative sensor technology that provides audio feedback for correctly sorted waste, thus reinforcing correct behaviors. To assess the application's effectiveness, we conducted a usability test using the System Usability Scale (SUS) method. Data were collected through questionnaires to evaluate the application's ease of use, efficiency, and user satisfaction. The results indicated a high level of usability, with most users experiencing seamless interaction with the application, affirming its potential as a tool for effective waste management education and practice.
Stance Analysis of Policies Related to Emission Test Obligations using Twitter Social Media Data Dwi Retnoningrum; Dea Annisayanti Putri; Indra Budi; Aris Budi Santoso; Prabu Kresna Putra
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.69004

Abstract

Social media is currently widely used to disseminate various kinds of information, whether expressing feelings, or opinions. Public opinion is no exception regarding government policies and the implementation of emission tests, which describe the conditions that exist in society. Information on public opinion data obtained through social media in real time can assist the government in evaluating policies and improving the quality of currently implemented policies, particularly evaluating the implementation of emission tests on motorized vehicles. In this research, the application of stance analysis is used to evaluate emission test policies based on public opinion.In addition, this research aims to combine several machine learning methods and feature extraction methods to find the best combination based on accuracy, training time, and prediction time based on emission test policies. The best model based on the level of accuracy is a combination of Decision Tree and BERT, which reaches a value of 66%. Meanwhile, based on training time, the model that has the advantage is the Ridge Classifier with fasttext text representation. Based on prediction time, there are 3 combination models, namely Decision Tree with word2vec, SVM with Word2Vec, and Logistic Regression with fasttext text representation.
Comparative Quality of Service Analysis of VPN Protocols on IPv6 Sabela Trisiana Oktavia; Dimas Febriyan Priambodo; Nanang Trianto; Rahmat Purwoko
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.69264

Abstract

The increase in internet users has led to the depletion of IPv4 supplies and the increase in cyber attacks, one of which is data leakage incidents. Several innovations were created such as switching to IPv6 which provides more addresses and implementing VPN technology to secure internet communications. The solution using VPN is believed to secure the network from various types of attacks from outside the network by creating a tunnel with a certain encryption algorithm as a data exchange path.  Some studies reveal that using VPN can cause delay which will affect QoS performance. Therefore, this research will be conducted to provide evidence as well as a comparison between the WireGuard and L2TP / IPSec VPN protocols on IPv6 based on Quality of Service parameters which include delay, jitter, packet loss, throughput, and MOS with three tests namely iPerf3, FTP, and remote desktop . The measurement is done by making a sample model with mikrotik and 6to4 tunnel. From the series of tests, it is known that the L2TP/IPSec protocol is better than the WireGuard protocol judging by the performance generated in tests with FTP and remote desktop. This discovery can be used by end users or other researchers to use VPN more objectively based on the technology.
Implementation of Virtual Reality Museum Lontar Prasi Bali As a Cultural Education Media Putu Wirayudi Aditama; Christina Purnama Yanti; I Gede Iwan Sudipa
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.69620

Abstract

Lontar Prasi Bali is famous for its distinctive paintings on palm leaves, a cultural heritage that must be preserved and continued. Main problem occurred because 82.5% of 189 respondents consisting of elementary school students in Denpasar Selatan stated that they did not know about Lontar Prasi Bali. The aim of collecting data from elementary school student respondents is to increase insight into Lontar Prasi and the target of this research is to introduce VR-based lontar prasi culture to children, especially elementary school students. There needs to be collaboration between culture and technology so that people understand the story and provide education about Lontar Prasi Bali, one of which is by implementing VR. The design method used is MDLC Multimedia Development Life Cycle (MDLC) which consists of concept, design, material collection, assembly, testing and distribution. The results of research using Likert scale stated that the use of VR showed that 84.75% of respondents stated Strongly Agree with the Lontar Prasi Museum Virtual Reality Application.
Ceramic Firing Temperature Trajectory Monitoring System on IoT-Based Gas Furnace: English I Wayan Oka Prayasa; Agus Putu Abiyasa; I Putu Angga Kristyawan
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.69708

Abstract

This study introduces a novel system where a conventional ceramic furnace is upgraded with IoT capabilities, specifically utilizing NodeMCU and a thermocouple sensor. The integrated system enables real-time temperature monitoring, facilitating the correction of firing trajectory errors in the ceramic firing process. The sensors reading minimizes errors by detecting temperature changes with a maximum deviation of -2.5 °C and a minimum deviation of -1 °C. The average error ranges from 1.81% to 3.79%. The collected data is seamlessly transmitted to Google Spreadsheet for online monitoring. This comprehensive solution not only minimizes recording errors but also ensures the quality of final ceramic products by preventing issues such as cracks, breaks, black cores, and non-uniform sizes. The incorporation of NodeMCU, thermocouple sensors, and online monitoring represents a significant technological leap in optimizing ceramic firing processes for heightened precision and efficiency.

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