http://jurnal.upnyk.ac.id/index.php/telematika/issue/feedTelematika : Jurnal Informatika dan Teknologi Informasi2024-02-06T01:57:59+00:00Dhimas Arief Dharmawanjurnaltelematika@upnyk.ac.idOpen Journal Systems<p>Telematika adalah Jurnal Ilmiah (ISSN: <a href="http://u.lipi.go.id/1180427536" target="_blank">1829-667X</a>; E-ISSN: <a title="eissn" href="http://u.lipi.go.id/1438960463" target="_blank">2460-9021</a>), yang diterbitkan oleh Jurusan Teknik Informatika, Fakultas Teknik Industri, Universitas Pembangunan Nasional "Veteran" Yogyakarta.</p><p>Telematika pertama kali terbit dalam bentuk cetak pada tahun 2007 dan kemudian diterbitkan secara daring pada tahun 2015 dengan menggunakan <em>open journal system. </em>Telematika terbit sebanyak dua kali setahun pada tahun 2017 dan berubah menjadi tiga kali dalam setahun pada tahun 2021 dikarenakan banyaknya pengajuan naskah yang masuk.</p><p><img src="/public/site/images/sylvert/sertifikat_telematika.png" alt="" width="150%" /> </p>http://jurnal.upnyk.ac.id/index.php/telematika/article/view/9820Tweet Analysis of Mental Illness Using K-Means Clustering and Support Vector Machine2024-02-02T04:30:50+00:00Kartikadyota Kusumaningtyaskartikadyota@gmail.comMuhammad Habibimuhammadhabibi17@gmail.comIrmma Dwijayantiirmmadwijayanti@gmail.comRetno Sumiyariniretno.sumiyarini@gmail.com<p class="Abstract">Purpose: Social media, particularly Twitter, provides a venue for individuals to share their thoughts. The public's perception of mental illnesses is often debated on Twitter. So yet, no evaluation of community tweets connected to data on mental health conditions has been performed. The purpose of this study is to examine tweets linked to mental illnesses in Indonesia in order to identify the themes of conversation and the polarity trends of these tweets.</p><p class="Abstract">Design/methodology/approach: To address this issue, the K-Means Clustering algorithm is utilized to aggregate tweet data that is used to find themes of conversation. The emotion polarity value of each cluster result was then determined using the Support Vector Machine (SVM) approach.</p><p class="Abstract">Findings/results: This study generated five topic clusters based on tweets about mental illness. While sentiment analysis revealed that all clusters had more negative sentiment classes than positive. Cluster 4 and Cluster 5 had the highest number of negative sentiment values. These clusters emphasize the necessity of consulting with psychiatrists and psychologists if people have mental health disorders, as well as financing for mental health disorder treatment through BPJS Kesehatan services.</p><p class="Abstract">Originality/value/state of the art: The analysis was done in two stages: data grouping to find themes of conversation using K-Means clustering and SVM to look for positive and negative polarity values associated to twitter data about mental illness.</p>2024-02-02T04:30:50+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/9830Performance Evaluation of “Online Smart Parking System” in Jakarta2024-02-02T04:30:51+00:00Suhada Suhadasuhada@unu-jogja.ac.idYana Hendrianayanahendri@unu-jogja.ac.id<p class="Abstract">Purpose: This research aims to evaluate the performance of the "Online Smart Parking System" application for 7 consecutive days from 06.00 to 18.00 to evaluate the features in the application, evaluate the level of compliance of the clerks with the use of the application and the level of constraints achievement or fulfillment of each of the rights and obligations of the parties, and identification of the level of achievement of revenue targets.</p><p class="Abstract">Design/methodology/approach: This research was carried out through several stages which include Product Quality Evaluation, Usage Quality Evaluation, Collaboration Evaluation and Financial Evaluation or financial aspects.</p><p class="Abstract">Findings/result: Design of Logical Framework Application System "Online Smart Parking System".</p><span>Originality/value/state of the art: This research focuses on evaluating the design results of the "Online Smart Parking System" application which is managed by UP Parking Department of Transportation DKI Jakarta with 3 partner applicators.</span>2024-02-02T04:30:51+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/10096Design of a Generative AI Image Similarity Test Application and Handmade Images Using Deep Learning Methods2024-02-02T04:30:51+00:00Rifqi Alfaesta Prawiratamayuuki0@umsida.ac.id<p class="Abstract">Purpose: The aim of this research is to develop a classification model using the Transformer approach, specifically the BEiT architecture, to differentiate between handmade images and AI Generative Art. The objective is to ensure the authenticity of art and address ethical and legal concerns related to AI Generative Art.</p><p class="Abstract">Design/methodology/approach: The study utilizes the BEiT architecture within the Transformer approach to create a classification model. The training process uses Bidirectional Encoder representation from Image Transformers (BEiT) to improve image classification. The primary datasets are collected through a Python image scraper program. The BEiT workflow includes Pre-training, Masking, Inpainting, and Interface Design with Gradio.</p><p class="Abstract">Findings/result: The Transformer model, using the BEiT architecture, achieves 96.34% accuracy and 0.0921 loss in differentiating handmade images and AI Generative Art. The model demonstrates a balanced precision and recall in each category, outperforming previous methods such as Convolutional Neural Network (CNN) and VGG16. The language used is clear, objective, and value-neutral, with a formal register and precise word choice. No changes in content were made. The Gradio interface was used to successfully test the model.</p><p class="Abstract">Originality/value/state of the art: The research presents a state-of-the-art classification model that uses the Transformer approach, specifically the BEiT architecture, to differentiate between handmade and AI Generative Art images. The research presents a state-of-the-art classification model that uses the Transformer approach, specifically the BEiT architecture, to differentiate between handmade and AI Generative Art images. The text adheres to conventional structure and formatting features, including consistent citation and footnote style. The sentences and paragraphs create a logical flow of information with causal connections between statements. The text is free from grammatical errors, spelling mistakes, and punctuation errors. Additionally, the research is enhanced by the innovative approach to data collection using a Python image scraper program.</p>2024-02-02T04:30:51+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/10643Analysis of Factors Affecting Intention to Use and User Satisfaction of Paylater Using DeLone & McLean Adoption Model2024-02-02T04:30:52+00:00Ulil Azmi Utari124180010@student.upnyk.ac.idYuli Fauziahyuli.fauziah@upnyk.ac.id<p class="Abstract">Purpose: This study aims to determine the factors that affect the intention to use and satisfaction of GoPayLater users in Yogyakarta, by assessing the relationship between variables so that recommendation for improvent can be given.</p><p class="Abstract">Design/methodology/approach: This study uses the DeLone & McLean adoption model by Seddon which includes 5 constructs namely system quality, information quality, perceived usefulness, intention to use and user satisfaction. Primary data collection was conducted by distributing questionnaires using likert scale measurement to 128 GoPayLater users. The data analysis technique used is SEM-PLS to test the measurement model, structural model and test the hypothesis via SmartPLS software.</p><p class="Abstract">Findings/results:Based on the results of hypothesis testing in this study, two hypotheses were rejected from eight hypothesises. These findings indicate that perceived usefulness has a positive and significant effect on intention to use, while the variables of system quality and information quality do not have a significant effect directly on intention to use GoPayLater. The R-Square test results show that system quality, information quality and perceived usefulness simultaneously have an effect of 34,4% on intention to use GoPayLater. This study also proves that variables of system quality, information quality and perceived usefulness have a positive and significant effect on GoPayLater user satisfacion, with the level of influence given simultaneously is 51,7% .</p>Originality/value/state of the art: Several previous studies have tested GoPayLater from various aspects, but no research has been found that assesses the relationship and effect of system quality, information quality and perceived usefulness on intention to use and user satisfaction using the DeLone & McLean adoption model by Seddon.<p class="Abstract"> </p>2024-02-02T04:30:52+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/10804Identifying Types of Waste as Efforts in Plastic Waste Management Based on Deep Learning2024-02-02T04:30:53+00:00Irawadi Buyungbuyungirawadi@gmail.comAgus Qomaruddin Muniragusqmnr@respati.ac.idNurhadi Wijayanurhadi@respati.ac.idLatifah Listyalinalatifah.listyalina@atk.ac.id<p class="Abstract"><span lang="EN-US">Purpose: This research aims at designing a computer algorithm for automatic waste sorting.</span></p><p class="Abstract"><span lang="EN-US">Design/methodology/apprach: This research is quantitative and uses secondary data, specifically images of various types of waste. The images will be classified into organic and inorganic waste types with the assistance of a deep learning model. In this research, we propose the EfficientNet method for Waste Type Identification as an Effort in Plastic Waste Management. Experiments were conducted on a secondary dataset from Kaggle.com, which involved classifying various types of waste into "Plastic" and "Non-Plastic" categories, showing the effectiveness of the proposed method.</span></p><p class="Abstract"><span lang="EN-US">Findings/result: The measurement is performed to compute the accuracy of the designed deep learning model in classifying waste images into the appropriate waste types. Based on the research results, our system achieved the highest accuracy of 97% during testing.</span></p><p class="Abstract"><span lang="EN-US">Originality/value/state of the art: The designed method can perform fast and automatic waste sorting, which is useful in reducing the increasing amount of waste accumulating each year.</span></p><p class="Abstract"> </p>2024-02-02T04:30:53+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/8846Quality Analysis of the Ahmad Dahlan University Digital Library Using the WebQual 4.0 and Importance Analysis Performance (IPA) Method.2024-02-02T04:30:54+00:00Ali Tarmujialitarmuji@tif.uad.ac.idK Moch Reza Dwi Akbardillahdwiakbarreza@gmail.com<p class="Abstract">Purpose: This paper is the result of research which aims to obtain results of measuring the quality of web services from the Library Unit at Ahmad Dahlan University, especially from the perceptions of student users in order to prepare recommendations for improving services. This paper is the result of research which aims to obtain results of measuring the quality of web services, especially from perceptions student users in order to prepare recommendations for improving service media</p><p class="Abstract">Design/methodology/approach: Based on sampling data collected using a questionnaire and calculated using statistics. The next step is to measure the WebQuel 4.0 method, the results of which are combined with the Importance Performance Analysis (IPA) method to determine recommendations.</p><p class="Abstract">Findings/result: The research results show that each independent variable, namely the usability variable and the information quality variable, partially has a relationship or is correlated with the dependent variable, namely user satisfaction, while the interaction service quality variable partially has no relationship or is uncorrelated with the dependent variable. The results of simultaneous hypothesis testing show that the independent variable has an effect on the dependent variable so that the hypothesis can be simultaneously accepted. Based on the analysis using the IPA method, there are three things in Quadrant 1 (Top Priority) which are not in accordance with user expectations and need to be improved, namely "the DIGILIB UAD web is easy to learn", "the DIGILIB UAD web has an attractive appearance", "the DIGILIB UAD web has the function of library web type”.</p>Originality/value/state of the art: Based on previous research and the results of previous digilib web development, the research produced a new assessment of the quality measures of web services at UPT Libraries, and made it the main alternative for developing service media in a better direction.2024-02-02T04:30:54+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/10716Quality Of Service (QoS) Analysis to Calculate Internet Network Performance Level DISKOMINFOTIK and OPD P3AP2KB Office Riau Province2024-02-02T04:30:55+00:00Mahdhan Ragil S11750115293@students.uin-suska.ac.idIwan Iskandariwan.iskandar@uin-suska.ac.idReski Mai Candrareski.candra@uin-suska.ac.id<p>Purpose: Among government agencies, the Office of Communication, Information and Statistics (DISKOMINFOTIK) which functions as an internet Support for Regional Apparatus Organizations (OPD), one of which is the OPD Office for Women's Empowerment, Child Protection, Population Control and Family Planning (P3AP2KB), this study was to determine the quality of the DISKOMINFOTIK network for OPD. P3AP2KB Office.</p><p>Design/methodology/approach: Analyzing the quality of the internet network at DISKOMINFOTIK and in the P3AP2KB Office OPD room which has a lot of clients during busy hours, free hours, and quiet hours using the Quality Of Service (QoS) method with Throughput, packet loss, delay, TIPHON standard jitter and quantitative methodology.</p><p>Findings/result: The results of the research prove that the parameter values of Throughput, packet loss, delay are at index 4 with the TIPHON measurement standard in the "Very Good" category, and jitter is index 3 with the TIPHON measurement standard in the "Good" QoS category.</p><p>Originality/value/state of the art: There has been no previous research to calculate the quality of the internet network provided by DISKOMINFOTIK to Regional Apparatus Organizations (OPD), one of which is the OPD Dinas P3AP2KB, therefore this research was conducted. </p>2024-02-02T04:30:55+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/10797Social Media Analysis and Topic Modeling: Case Study of Stunting in Indonesia2024-02-02T04:30:56+00:00Amri Muhaiminamri.muhaimin.stat@upnjatim.ac.idTresna Maulana Fahrudintresna.maulana@narotama.ac.idSyifa Syarifah Alamiyahsyifa_syarifah.ilkom@upnjatim.ac.idHeidy Arvianiheidy_arviani.ilkom@upnjatim.ac.idAde Kusumaadekusuma185@gmail.comAllan Ruhui Fatmah Sari21083010007@student.upnjatim.ac.idAngela Lisanthoni121083010023@student.upnjatim.ac.id<p class="Abstract">Purpose: Stunting is a problem that currently requires special attention in Indonesia. The stunting rate in 2022 will drop to 21.6%, and for the future, the government has set a target of up to 14% in 2024. Rapid technological developments and freedom of expression on the internet produce review text data that can be analyzed for evaluation. This study analyzes the text data of Twitter users' reviews on stunting. The method used is a text-mining approach and topic modeling based on Latent Dirichlet Allocation.</p><p class="Abstract">Design/methodology/approach: The methodology used in this study is Latent Dirichlet Allocation. The data was collected from twitter with the keyword “stunting.” After, the data was cleaned and then modeled using the Latent Dirichlet Allocation.</p><p class="Abstract">Findings/results: The results show that negative sentiment dominates by 60.6%, positive sentiment by 31.5%, and neutral by 7.9%. In addition, this research shows that 'children,' 'decrease,' 'number,' 'prevention,' and 'nutrition' are among the words that often appear on stunting.</p>Originality/value/state of the art: This study uses the keyword stunting and analyzes it. Social media analytics show that the people of Indonesia are primarily aware of stunting. Also, the Latent Dirichlet Analysis can be used to create the model.2024-02-02T04:30:56+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/11789Klasifikasi Penyakit Gangguan Jiwa menggunakan Metode Logika Fuzzy2024-02-02T04:30:56+00:00Mutmainnah Putri Kaylamuthmainnahputri22125@gmail.comRizal Adi saputrarizaladisaputra@uho.ac.id<p class="Abstract">Purpose: This research aims to facilitate psychologists in handling individuals with mental disorders by categorizing them based on their symptoms and conditions using fuzzy logic, which mimics the functioning of the human brain.</p><p class="Abstract">Design/methodology/approach: The categorization is performed by applying Mamdani fuzzy logic, designed in consultation with psychology experts. Ten initial symptoms each have parameters (Mild, Moderate, and Severe) as input variables, and the output variable involves mental health disorders such as Schizophrenia, Bipolar disorder, Eating disorders, and Anxiety. The fuzzy process employs the Mamdani method with IF-THEN rules and AND operators. The implementation of Mamdani fuzzy logic achieves adequate accuracy in classifying individuals with mental disorders, providing a strong foundation for a more targeted psychological approach. In the context of accuracy, fuzzification analysis for each health disorder can offer further insights.</p><p class="Abstract">Findings/result: Results of the study for Schizophrenia, for instance, show a fuzzy diagram membership of approximately 0.4, indicating a potentially high level of thought impairment and interpersonal skills. Weighting for low, medium, and high is then assessed to categorize patients. A similar process is undertaken for Bipolar disorder, with special attention to the middle value and the strong relationship between two input values. Regarding mental illness, membership analysis indicates an increasing level of membership corresponding to condition groups, suggesting compatibility with existing rules.</p>Originality/value/state of the art: These findings reinforce the Mamdani fuzzy logic implementation as a reliable approach in classifying individuals with mental disorders, with the potential to enhance psychological diagnosis and interventions more effectively2024-02-02T04:30:56+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/10885Visualization of Islamic Boarding School Location at Yogyakarta with Web-Based Geodesain2024-02-02T04:30:57+00:00Oktavia Dewi Alfianioktavia.dewi@upnyk.ac.idDwi Wahyuningrumdwi.wahyuningrum@upnyk.ac.idShoffan Saifullahshoffans@upnyk.ac.idHaekal Haekal117180029@student.upnyk.ac.id<table width="623" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="397"><p class="Abstract">Purpose: This research produces a webGIS design that presents the geospatial location of buildings in the Krapyak Yogyakarta boarding school area to facilitate users outside the area when heading to the location of the boarding school whose buildings are scattered.</p><p class="Abstract">Design/methodology/approach: By combining aerial photos from UAV mapping with Open Street Map. The combined results of both maps are presented in a webGIS built from HTML, CSS and OpenLayers scripting.</p><p class="Abstract">Findings/result: Building a webGIS to present information on the location of Krapyak Islamic boarding schools that has been equipped with corrected coordinates and routes from the iconic city of Yogyakarta so that immigrants from outside the area can easily understand the use of the webgis. </p><p class="Abstract">Originality/value/state of the art: From previous research, webGIS development only uses maps presented through openstreetmap where if users use existing online navigation applications have different coordinate system references (Soraya R, 2018). So by equalizing the map reference by combining the results of UAV mapping and correcting the shape of the building presented on openstreetmap, the spatial information from the webgis will have a position accuracy that is more in line with the truth.</p></td></tr></tbody></table>2024-02-02T04:30:57+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasihttp://jurnal.upnyk.ac.id/index.php/telematika/article/view/11867Evaluation of IT Risk Management in DISKOMINFO of Magelang Regency using COBIT Framework 2019 Objectve EDM03 & APO122024-02-06T01:57:59+00:00Resti Ayunda Sarirestiayunda2604@gmail.comJuwairiah Juwairiahjuwairiah@upnyk.ac.id<p class="Abstract">Purpose: This research aims to measure the current condition level (capability level) of DISKOMINFO and then conduct a Gap analysis so that it can provide recommendations for improving IT governance related to IT risk management.</p><p class="Abstract">Design/methodology/approach: The framework used is COBIT 2019, which will focus on 2 objectives: EDM03 (Evaluate, Direct, and Monitor) & APO12 (Align, Plan, and Organize). The data used in this study were obtained through interviews, observation, and distribution of questionnaires which had been mapped using the RACI Chart.</p><p class="Abstract">Findings/result: The results of the assessment show that the capability level/capability level according to DISKOMINFO is level 2 for each objective. Recommendations focus on making documentation of risk management activities in the form of risk guidelines, risk acceptance, activities for risk management methods, as well as the application of risk management evaluation of IT which is used by DISKOMINFO on a regular basis.</p>Originality/value/state of the art:From various types of risk management research with different frameworks, this research will use the COBIT 2019 performance standards to carry out information technology risk management. Where COBIT 2019 is the latest version of COBIT which was prepared to help companies manage and manage resources to achieve existing goals. COBIT 2019 has a broader scope than ISO SO/IEC 17799:2005 which includes a combination of principles that have been embedded and known as reference models (such as COSO), and are aligned with IT standard infrastructure.2023-11-15T00:00:00+00:00Copyright (c) 2024 Telematika : Jurnal Informatika dan Teknologi Informasi