Teknomatika: Jurnal Informatika dan Komputer最新文献

Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Bantuan Lansia 为老年人援助决策支持系统实施加权乘积算法

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-12-08 DOI: 10.30989/teknomatika.v16i2.1249

Ferlinda Yuyung Kusumaningrum, Andika Bayu Saputra, A. Priyanto, Nurul Fatimah

{"title":"Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Bantuan Lansia","authors":"Ferlinda Yuyung Kusumaningrum, Andika Bayu Saputra, A. Priyanto, Nurul Fatimah","doi":"10.30989/teknomatika.v16i2.1249","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i2.1249","url":null,"abstract":"Lansia merupakan suatu siklus hidup yang pasti dialami oleh manusia dan hampir setiap orang. Terdapat permasalahan yang dihadapi oleh lansia dari menurunnya kondisi fisik sampai tidak dapat bekerja, Pemerintah mengeluarkan program untuk mendukung lansia. Bantuan lansia yang dapat diterima setiap tiga bulan atau sesuai informasi dari pemerintah. Namun saat ini program yang ada masih belum efektif karena terdapat kendala seperti belum ada sebuah sistem yang dapat menginputkan data, sehingga pendataan bantuan lansia masih secara manual menggunakan pencatatan di buku yang dapat menghambat waktu pendataan dan perhitungan data. Penelitian ini bertujuan untuk membangun sebuah sistem pendukung keputusan dalam menentukan penerima bantuan lansia guna membantu dalam proses pengambilan keputusan. Algoritma weighted product yang merupakan suatu algoritma yang sering digunakan untuk menganalisa sebuah keputusan. Hasil penelitian ini berupa sebuah Implementasi Penggunaan Algoritma Weighted Product untuk Sistem Pendukung Keputusan Penerima Bantuan Lansia. Sistem diharapkan membantu dalam menentukan keputusan dari barbagai pilihan yang mempertimbangkan beberapa macam kriteria dan dapat diterapkan untuk membantu menyelesaikan permasalahan mengidentifikasi penerima bantuan lansia secara cepat, tepat dan efektif.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139185068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analisis Kerentanan Menggunakan Vulnerability Assessment pada Situs Web Perguruan Tinggi 利用漏洞评估对高校网站进行漏洞分析

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-12-08 DOI: 10.30989/teknomatika.v16i2.1248

Danang Prihanto, Adkhan Sholeh, Chanief Budi Setiawan, M. Abu, Amar Al Badawi

{"title":"Analisis Kerentanan Menggunakan Vulnerability Assessment pada Situs Web Perguruan Tinggi","authors":"Danang Prihanto, Adkhan Sholeh, Chanief Budi Setiawan, M. Abu, Amar Al Badawi","doi":"10.30989/teknomatika.v16i2.1248","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i2.1248","url":null,"abstract":"Abstrak - Di Indonesia, terdapat beberapa fenomena yang menunjukkan rendahnya tingkat keamanan digital. Pada tahun 2021, terdapat 5.940 kasus web defacement dari beberapa sektor yang menjadi sasaran. Salah satunya dari sektor akademik, yaitu perguruan tinggi dengan total 2.217 kasus, menjadikannya sektor dengan kasus terbanyak. Oleh karena itu, peneliti melakukan pemindaian pada ketiga website FTTI. Penelitian dilakukan dengan tujuan dapat menganalisis dan mengetahui tingkat keamanan serta bentuk-bentuk kerentanan pada website FTTI di Universitas Jenderal Achmad Yani Yogyakarta, yaitu ftti.unjaya.ac.id, elearning.ftti.unjaya.ac.id, dan app.ftti.unjaya.ac.id. Dengan hasil yang diperoleh dari analisis, peneliti harus melaporkan kepada Kepala Pusat Sistem Informasi (PUSI) FTTI. Menggunakan metode vulnerability assessment dengan beberapa alat seperti Nmap, Nessus, dan WPScan. Pada metode ini terdapat beberapa tahapan, seperti persiapan (instalasi alat dan pengumpulan data yang diperlukan), mengidentifikasi kerentanan, dan analisis. Hasil penelitian ini menunjukkan bahwa dari ketiga website, terdapat berbagai tingkat kerentanan seperti Critcal, High, Medium, Low, dan Info. Pada website ftti.unjaya.ac.id yang menggunakan WordPress, tidak terdapat kerentanan yang parah setelah dilakukan pemindaian menggunakan ketiga alat yang digunakan. Sementara itu, pada elearning.ftti.unjaya.ac.id dan app.ftti.unjaya.ac.id, menunjukkan hasil penilaian VPR Top Threats bahwa keduanya berada pada tingkat Medium. Pada ketiga website yang telah dipindai, ditemukan bahwa ftti.unjaya.ac.id adalah website dengan tingkat kerentanan paling aman. Menurut hasil pemindaian, website elearning.ftti.unjaya.ac.id maupun app.ftti.unjaya.ac.id memiliki beberapa kerentanan dengan tingkat risiko High bahkan Critical.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139185212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analisis Tingkat Security Awareness-Personal Threat Terhadap Ancaman Phishing Dengan Metode Technology Threat Avoidance Theory (TTAT) 技术威胁规避理论（TTAT）与网络钓鱼的安全意识--个人威胁分析

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-12-08 DOI: 10.30989/teknomatika.v16i2.1250

Indah Daila Sari, Dedy Hariyadi, R. Sahtyawan, Netania Indi Kusumaningtyas

{"title":"Analisis Tingkat Security Awareness-Personal Threat Terhadap Ancaman Phishing Dengan Metode Technology Threat Avoidance Theory (TTAT)","authors":"Indah Daila Sari, Dedy Hariyadi, R. Sahtyawan, Netania Indi Kusumaningtyas","doi":"10.30989/teknomatika.v16i2.1250","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i2.1250","url":null,"abstract":"Phishing is a sort of cybercrime that involves obtaining sensitive information through the use of email, SMS, or compromised websites. The effects of phishing are caused by factors in the Technology Threat Avoidance Theory. The single best way to stop phishing attacks is to increase awareness of the risk of them happening among users or end users (human firewall). To determine the next steps in raising user knowledge, it is necessary to measure cybersecurity awareness, particularly against phishing assaults. Identify a few significant cybersecurity awareness of FTTI University of Jenderal Achmad Yani students in Yogyakarta. The investigation in this case included a phishing test and also employed online observation using observers who were asked questions based on the Technology Threat Avoidance Theory (TTAT). Using the MANOVA analysis method, factors influencing cybersecurity awareness analysis is conducted. Based on the analysis and testing of phishing tests as well as online questionnaires from the sample population, it shows that the sample is at a poor level of awareness. While the analysis of cybersecurity influence factors using the MANOVA analysis method shows that the results of the sig.> 0.05 value so that h0 is rejected. Based on the results of the study, it was concluded that FTTI students were still vulnerable to phishing attacks. Factor analysis using the MANOVA method shows that the dependent factor affects the level of cybersecurity awareness of the respondents but there is no significant difference between the dependent factors.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139185243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Desain User Interface Dan User Experience Prototype Mobile Learning Menggunakan Metode Design Thinking Metode Design Thinking 设计用户界面和用户体验原型移动学习设计思维模式设计思维模式

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-12-08 DOI: 10.30989/teknomatika.v16i2.1254

Muhamad Arabi Rizki Angkotasan, A. Murdiyanto, A. Himawan, Fajar Syahruddin

引用次数: 0

CParts Platform Analisis Harga Komponen Komputer pada Marketplace CParts Marketplace 计算机组件价格分析平台

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-12-08 DOI: 10.30989/teknomatika.v16i2.1251

Anas Sufi, Hasan Manahingati, Puji Winar Cahyo, Kartika Kusumaningtyas, Alfun Roehatul Jannah

{"title":"CParts Platform Analisis Harga Komponen Komputer pada Marketplace","authors":"Anas Sufi, Hasan Manahingati, Puji Winar Cahyo, Kartika Kusumaningtyas, Alfun Roehatul Jannah","doi":"10.30989/teknomatika.v16i2.1251","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i2.1251","url":null,"abstract":"Amidst the fluctuations in computercomponent prices brought about by the Covid-19pandemic, a comprehensive analysis platform hasbeen developed to address this challenge. Thisinnovative platform harnesses historical datasourced from prominent e-commerce platforms suchas Shopee, Blibli, and Tokopedia, presenting userswith insightful average price graphs categorized bycomponent series and types. The researchmethodology adopted follows a prototype approach,encompassing meticulous phases ranging fromneeds analysis, application design, prototyping,testing, evaluation, prototype refinement, through toimplementation and ongoing maintenance. Thesuccessful implementation of this system, powered bythe Python programming language, features robustfunctionalities including product search anddynamic graphical representations derived fromhistorical data. The data retrieval process, utilizingthe Scraping method, occurs at regular intervals ona weekly basis. Upon meticulous analysis ofhistorical data spanning from January to July 2022,a noteworthy trend emerged, highlighting thatShopee and Tokopedia consistently offer computercomponents at relatively more affordable pricescompared to Blibli. The conclusive findings of thisresearch underscore the platform's efficacy inproviding an essential tool for users navigating thecomplex landscape of computer component pricedynamics, particularly in the unprecedented contextof the ongoing pandemic. This platform not onlyfacilitates monitoring but also empowers users withvaluable insights crucial for informed purchasingdecisions based on stable and budget-friendly pricingstructures.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139185087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metode Hybrid Menggunakan Pendekatan Lexicon Based dan Naive Bayes Classifier Untuk Analisis Sentimen Terkait Jaminan Hari Tua 使用基于词典的方法和 Naive Bayes 分类器的混合方法进行老年安全相关情感分析

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-12-08 DOI: 10.30989/teknomatika.v16i2.1247

Rizky Fauzi Akbar, Muhammad Habibi, Puji Winar Cahyo, Nafisa Alfi Sa'diya

{"title":"Metode Hybrid Menggunakan Pendekatan Lexicon Based dan Naive Bayes Classifier Untuk Analisis Sentimen Terkait Jaminan Hari Tua","authors":"Rizky Fauzi Akbar, Muhammad Habibi, Puji Winar Cahyo, Nafisa Alfi Sa'diya","doi":"10.30989/teknomatika.v16i2.1247","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i2.1247","url":null,"abstract":"Badan Penyelenggara Jaminan Sosial (BPJS) Ketenagakerjaan adalah badan aturan publik yang dibuat melalui Undang-Undang No 24 Tahun 2011 Tentang Badan Penyelenggaran Jaminan Sosial menggunakan tujuan untuk mewujudkan terselenggaranya pemberian jaminan terpenuhinya kebutuhan dasar yang layak bagi setiap peserta atau anggota keluarganya. Dalam pelaksanaannya terdapat informasi yang tersebar khususnya pada tweet di Twitter mengenai keputusan Kementrian Kesehatan yaitu mengenai Jaminan Hari Tua (JHT) yang hanya bisa dicairkan/diambil setelah peserta (BPJS) Ketenagakerjaan menginjak usia 56 tahun, menyebabkan adanya pro dan kontra yang ada dikalangan masyarakat. Berdasarkan tweet-tweet pada Twitter yang belum dianalisis maka perlu di analisis secara mendalam untuk mendapatkan informasi yang sesuai berdasarkan opini netizen. Berdasarkan hasil penelitian ini diperoleh nilai akurasi data testing sebesar 92% untuk metode Lexicon Based dan 95% untuk data testing pada metode Naïve Bayes Classifier lalu untuk data training Naïve Bayes Classifier mendapatkan akurasi 82%. Penelitian ini mendapatkan kesimpulan bahwa jaminan hari tua (JHT) pada (BPJS) Ketenagakerjaan mendapat sentimen negatif dari netizen yang banyak membahas mengenai penolakan peraturan baru dimana jaminan hari tua (JHT) pada (BPJS) Ketenagakerjaan, hanya bisa dicairkan atau diambil ketika peserta BPJS Ketenagakerjaan menginjak usia 56 tahun.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139185381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PEMODELAN TOPIK TERKAIT BANJIR PADA TWITTER DENGAN MENGGUNAKAN LATENT DIRICHLET ALLOCATION 使用潜在德里赫利分配对 twitter 上的洪水相关主题进行建模

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-11-29 DOI: 10.30989/teknomatika.v16i1.1139

M. Irwansyah, Muhammad Habibi, Fajar Syahruddin

{"title":"PEMODELAN TOPIK TERKAIT BANJIR PADA TWITTER DENGAN MENGGUNAKAN LATENT DIRICHLET ALLOCATION","authors":"M. Irwansyah, Muhammad Habibi, Fajar Syahruddin","doi":"10.30989/teknomatika.v16i1.1139","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i1.1139","url":null,"abstract":"In this background discusses the topic of tweet about Flooding on Twitter using the keyword \"Flood\". Tweet data was taken from June 1, 2021 to June 2, 2021 with the number of tweet data obtained, which was 2000 tweets. The number of tweets related to flooding has not been analyzed so that the topics contained in it are not yet known. Research . Modeling topics related to floods in Indonesia on Twitter social media with the LDA method. Research. This study uses experimental methods with several variables to test hypotheses. Then the data is processed with stages, namely web data extraction, preprocessing, feature extraction, topic modeling using latent dirichlet allocation algorithms, visualization, and analysis. Research. The results of the topic coherence stage were carried out a search for the most optimal topic from the 20 topics that had been determined at the beginning. The results of topic coherence for 20 topics concluded that for topic 10 it has a total topic value of 0.41 and has an ideal topic modeling result and is in accordance with the provisions. Conclusion : Based on the results of the discussion of topic coherence, it can be concluded that the most ideal number of topics is topic 10 because it has the highest value compared to other topics. The advice here is to be able to display or get flood information in Indonesia in real time and accurately.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analisis Pola Konsumen Dalam Bertransaksi Bisnis di Bengkel Resmi AHASS Total Honda Motor 在 AHASS 全面本田汽车官方研讨会上的消费者交易模式分析

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-11-29 DOI: 10.30989/teknomatika.v16i1.1133

Budi Wardoyo, Puji Winar Cahyo, Muhammad Habibi, M. Abu, Amar Al Badawi

{"title":"Analisis Pola Konsumen Dalam Bertransaksi Bisnis di Bengkel Resmi AHASS Total Honda Motor","authors":"Budi Wardoyo, Puji Winar Cahyo, Muhammad Habibi, M. Abu, Amar Al Badawi","doi":"10.30989/teknomatika.v16i1.1133","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i1.1133","url":null,"abstract":"The accumulated data, which consists of facts and transaction events in a business, should be processed and utilized for the progress of business development. Currently, the data owned by AHASS THM has not been optimized and further processed to provide broader benefits, such as promotion and forming loyal AHASS customers. The objective of this research is to analyze the existing transaction data to identify consumer transaction patterns at AHASS THM. The research methodology used is Market Basket Analysis (MBA), a method for analyzing consumer transaction data by finding associative relationships between different items in the consumer's shopping cart. By applying a minimum parameter limitation of support = 0.001, confidence = 0.8, and sorting based on the magnitude of the confidence parameter, 62 associative rules of consumer transaction patterns in AHASS THM business were obtained. By selecting the top 10 associative rules based on the highest confidence values, generally, these associative rules have a confidence parameter greater than 0.95 or 95%. Additionally, there are 3 associative rules with a confidence value of 1 or 100%, indicating that consumers will purchase Bearing Needle 20x29x218 after buying Bearing Ball 6902U, or a combination of Bearing Ball 6902U with CVT Grease 10 gr or Oli MPX2 0.8 lt.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139209254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Prediksi Kasus Covid-19 di Indonesia Menggunakan Algoritma Linear Regression 使用线性回归算法的印度尼西亚 Covid-19 病例预测系统

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-11-27 DOI: 10.30989/teknomatika.v16i1.1099

Yusriyah Isnaini Mufidah, A. Saputra, Netania Indi Kusumaningtyas

{"title":"Sistem Prediksi Kasus Covid-19 di Indonesia Menggunakan Algoritma Linear Regression","authors":"Yusriyah Isnaini Mufidah, A. Saputra, Netania Indi Kusumaningtyas","doi":"10.30989/teknomatika.v16i1.1099","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i1.1099","url":null,"abstract":"The Coronavirus disease outbreak caused by severe acute respiratory syndrome by coronavirus 2 was first reported in Wuhan, Hubei province, China in December 2019, until March 2, 2020, President Joko Widodo announced the first case of an Indonesian citizen who was confirmed positive for COVID-19. The development of new cases of COVID-19 patients in Indonesia is still being reported even though the pandemic has lasted for almost two years. Then need a way to determine predictions or predict the number of increases in Indonesia’s COVID-19 cases in the future using machine learning technology with the Linear Regression algorithm. Estimating the number of active cases adding positive COVID-19 cases in Indonesia over the next 3 months using the machine learning method using the Linear Regression algorithm. This study predicts COVID-19 cases using machine learning with the Linear Regression algorithm. The model results have a linear coefficient, so the model predicts very well for linear data on days 0 – 300, and on the day after that, the number of positive cases of the national COVID-19 virus does not continue to show a linear relationship, the model becomes inaccurate again. The results of the parameter evaluation show that the level of accuracy is low, but this model can be used as a reference for case predictions for the next month with the results of comparison of predicted data and actual data not much different.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EVALUASI PADA WEBSITE SRAGENKAB.GO.ID MENGGUNAKAN METODE WEB USABILITY EVALUATION (WEBUSE) DAN WEB CONTENT ACCESSIBILITY GUIDELINES (WCAG) 2.1 对 sragenkab.go.id 网站的评估采用了网络可用性评估 (webuse) 和网络内容可访问性指南 (wcag) 2.1 的方法。

Teknomatika: Jurnal Informatika dan Komputer Pub Date : 2023-11-27 DOI: 10.30989/teknomatika.v16i1.1105

Siti Fatimah, Ahmad Hanafi, Kharisma, Alfun Roehatul Jannah

{"title":"EVALUASI PADA WEBSITE SRAGENKAB.GO.ID MENGGUNAKAN METODE WEB USABILITY EVALUATION (WEBUSE) DAN WEB CONTENT ACCESSIBILITY GUIDELINES (WCAG) 2.1","authors":"Siti Fatimah, Ahmad Hanafi, Kharisma, Alfun Roehatul Jannah","doi":"10.30989/teknomatika.v16i1.1105","DOIUrl":"https://doi.org/10.30989/teknomatika.v16i1.1105","url":null,"abstract":"The sragenkab.go.id website serves as a vital platform supporting the operations of the Sragen district government, disseminating accurate and prompt information to the public. However, various issues hamper its functionality, such as interface display problems, unclear layout, non-functional links, excessively simple design, and slow response times. To address these concerns, this study aims to evaluate the sragenkab.go.id website's usability and accessibility aspects using the Website Usability Evaluation (WEBUSE) method and the Web Content Accessibility Guideline (WCAG) 2.1 method, respectively. Using the WEBUSE method, a survey questionnaire was distributed to 100 respondents from Sragen to assess the usability level of the website. The obtained score of 0.65 indicated that the website's usability is categorized as \"good\" and has been accepted by the users. On the other hand, the accessibility evaluation using the WCAG 2.1 method, with the assistance of the WAVE tool and accessibilitychecker, revealed a score below 75%, indicating a significant risk of non-compliance with international accessibility standards. In conclusion, the sragenkab.go.id website exhibits commendable usability; however, it falls short in terms of accessibility. The findings emphasize the importance of optimizing the website's accessibility to adhere to international regulatory standards, ensuring equitable access to information and services for all users. Future improvement efforts should focus on rectifying accessibility issues to enhance the overall user experience and inclusivity of the website.","PeriodicalId":508475,"journal":{"name":"Teknomatika: Jurnal Informatika dan Komputer","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0