CESS Journal of Computer Engineering System and Science最新文献

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Implementation of Mamdani Fuzzy Logic on Obstacle Avoidance Robots Mamdani模糊逻辑在避障机器人上的实现
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-31 DOI: 10.24114/cess.v7i2.36300
Wahiddatun Nisa, Dwi Marisa Midyanti, Dedi Triyanto, Irma Nirmala
{"title":"Implementation of Mamdani Fuzzy Logic on Obstacle Avoidance Robots","authors":"Wahiddatun Nisa, Dwi Marisa Midyanti, Dedi Triyanto, Irma Nirmala","doi":"10.24114/cess.v7i2.36300","DOIUrl":"https://doi.org/10.24114/cess.v7i2.36300","url":null,"abstract":"Aktivitas lalu lintas di jalan raya sering kita jumpai terjadi kecelakaan kendaraan mobil dan motor. Kecelakaan lalu lintas itu disebabkan karena beberapa hal salah satunya adalah kelalaian pengendara itu sendiri. Berdasarkan permasalahan tersebut dibuatlah sebuah sistem otomatis pada kendaraan untuk mengurangi terjadinya kecelakaan lalu lintas dengan dimulai dari skala prototipe robot beroda dua untuk menghindari halangan menggunakan metode Logika Fuzzy Mamdani. Pada penelitian ini telah dibuat sistem robot penghindar halangan yang dapat menghindari halangan dan pengaturan kecepatan motor secara otomatis berdasarkan jarak halangan didepannya. Sistem ini dibangun menggunakan mikrokontroler Arduino uno sebagai sistem kendali, 3 buah sensor ultrasonik sebagai pengukur jarak robot terhadap halangan, motor driver dan motor DC sebagai arah gerak robot. Pengaturan kecepatan motor secara otomatis digunakan sistem pengambil keputusan dengan menggunakan 27 rule. Hasil pengujian sensor ultrasonik dapat mendeteksi halangan yang ada di samping kiri, kanan dan depan dengan rentang jarak dekat, sedang dan jauh dari 2 sampai 50 cm. Pada sistem pengaturan kecepatan motor dapat mengatur kecepatan lambat, normat dan cepat pada rentang 50-60 PWM secara otomatis menggunakan sistem keputusan Logika Fuzzy Mamdani dengan akurasi sistem 93% dari 27 kali pengujian.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49358018","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
Payroll Program Design at The Employee Cooperative of The Republic Indonesia Kancawinaya Teachers Karawang 印度尼西亚共和国坎卡威纳亚教师卡拉旺员工合作社的工资程序设计
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-31 DOI: 10.24114/cess.v7i2.36775
Nuraeni Herlinawati, D. Dahlia, V. Riyanto, Ganda Wijaya
{"title":"Payroll Program Design at The Employee Cooperative of The Republic Indonesia Kancawinaya Teachers Karawang","authors":"Nuraeni Herlinawati, D. Dahlia, V. Riyanto, Ganda Wijaya","doi":"10.24114/cess.v7i2.36775","DOIUrl":"https://doi.org/10.24114/cess.v7i2.36775","url":null,"abstract":"Saat ini Teknologi Informasi (TI) sangatlah berpengaruh dalam dunia kerja. Koperasi Pegawai Republik Indonesia (KPRI) Guru Kancawinaya membutuhkan sekali adanya suatu sistem penggajian yang terkomputerisasi untuk mempermudah dalam pembagian gaji pegawai sehingga memperoleh hasil yang akurat. Untuk itulah penulis termotivasi untuk melakukan penelitian pada Koperasi Pegawai Republik Indonesia Guru Kancawinaya dan membangun sebuah program yang dapat memecahkan masalah dalam pengelolaan data penggajian sehingga dapat memperoleh hasil yang akurat. Dengan banyaknya unit usaha yang dimiliki oleh Koperasi Pegawai Republik Indonesia (KPRI) Guru Kancawinaya maka dibutuhkan sumber daya manusia yang dapat mengelolanya. Pengurus koperasi tidak akan mungkin bisa mengelola semuanya, oleh karena itu diperlukan beberapa pegawai pada unit usaha yang dimiliki koperasi. Penggajian adalah sesuatu yang sangat vital dalam dunia kerja dan jika dalam pengelolaanya tidak baik dapat menimbulkan resiko seperti: kecurangan, kesalahan dan penyelewengan yang akibatnya akan membuat perusahaan menjadi rugi, dalam hal ini adalah koperasi. Oleh karena itu dibutuhkan adanya sistem penggajian yang terkomputerisasi dan diterapkan dengan baik supaya memperoleh informasi yang handal.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43039104","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: 1
Clustering Analysis in Sales Grouping Using The K-Means Algorithm at Cafe 47°Coffee 基于K-Means算法的47°咖啡店销售分组聚类分析
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-19 DOI: 10.24114/cess.v7i2.35569
R. Hidayat, Harni Kusniyati
{"title":"Clustering Analysis in Sales Grouping Using The K-Means Algorithm at Cafe 47°Coffee","authors":"R. Hidayat, Harni Kusniyati","doi":"10.24114/cess.v7i2.35569","DOIUrl":"https://doi.org/10.24114/cess.v7i2.35569","url":null,"abstract":"Cafe 47°Coffee adalah cafe yang bergerak dibidang kuliner yang menyediakan makanan maupun minuman. Dengan banyaknya pesaing bisnis  dibidang cafe  maka dari itu pengusaha cafe 47°Coffee diharuskan mampu bersaing dengan memanfaatkan dari data transaksi untuk menentukan suatu strategi penjualan. Data yang akan digunakan pada penelitian ini yaitu data penjualan dari bulan Juli 2021 sampai Februari 2022.   Pengusaha cafe 47°Coffee memanfaatkan Data Mining untuk membantu mengambil keputusan strategi penjualan agar dapat mengetahui  produk yang harus di tingkatkan dan memberi solusi pengambil keputusan, Metode Clustering dengan menggunakan algoritma K-Means adalah salah satu metode yang akan digunakan pada penelitian ini. Pengusaha Cafe 47°Coffee mengelompokan produk kedalam 3 kriteria yaitu sangat laku, laku, dan tidak laku. Data diolah dengan perhitungan manual dan menggunakan tools Rapid Miner untuk melakukan pengujian, sehingga dapat hasil akhir berupa 4 item cluster sangat laku yakni V60, Caramel Coffe Latte, Red Velvet, dan Coklat , 7 item cluster laku yakni Cappucino, Vanilla Coffe Latte, Hazelnut, Taro, Lychee Tea, Japanese, dan Greentea, 14 item cluster tidak laku yakni Americano, Espresso, Moccacino, Kopi tubruk, Vietnam Drip, Kopi sundan, Avocado Coffe Latte, Match, Strawberry Tea, Milkshake Strawberry, Banana, Cofee Lemon, Kopi susu, dan risol. Dari proses clustering menggunakan algoritma k-means diatas diperoleh nilai DBI (Davice Bouldin Index) dengan nilai -0,813. Hasil ini dapat dimanfaatkan pengusaha Cafe 47°Coffee untuk meningkatkan strategi penjualan dan manajemen stok.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48345156","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
Comparison of Adam's Optimization Function and Stochastic Gradient Descent on Bad Credit Classification of Savings and Loan Cooperatives Using Multilayer Perceptron Adam优化函数与随机梯度下降在储蓄贷款合作社不良信用分类中的应用比较
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-19 DOI: 10.24114/cess.v7i2.35210
Jaka Tirta Samudra, B. Hayadi
{"title":"Comparison of Adam's Optimization Function and Stochastic Gradient Descent on Bad Credit Classification of Savings and Loan Cooperatives Using Multilayer Perceptron","authors":"Jaka Tirta Samudra, B. Hayadi","doi":"10.24114/cess.v7i2.35210","DOIUrl":"https://doi.org/10.24114/cess.v7i2.35210","url":null,"abstract":"Dengan pesatnya pertumbuhan koperasi di Indonesia, maka pemberian kredit bagi anggota koperasi semakin diperketat dengan melakukan survey terhadap calon penerima kredit melalui analisis 5C yaitu character, capacity, capital, condition of economic dan economic condition. agunan, sehingga risiko kredit macet dapat diminimalkan. Data mining dapat membantu koperasi dalam menganalisis kredit macet calon penerima kredit dengan cara membandingkan data lama (data pemberian kredit sebelumnya) dengan data baru (data survei calon penerima kredit) dan mengelompokkannya dalam bentuk klasifikasi kredit macet atau non-kredit. melakukan pinjaman. Penelitian ini membangun model klasifikasi kredit macet berdasarkan hasil analisis calon penerima kredit menggunakan algoritma multi layer perceptron. Berbagai fungsi stochastic gradient descent (SGD) dan optimasi Adam digunakan yang dievaluasi menggunakan validasi silang 5 kali lipat, 10 kali lipat, dan 20 kali lipat. Hasil yang diperoleh adalah optimasi Adam merupakan fungsi optimasi terbaik untuk mengklasifikasikan dataset kredit macet, hal ini dapat dilihat dari nilai akurasi sebesar 95,6%, nilai F1 sebesar 95,6%, nilai presisi sebesar 95,7%, dan nilai recall sebesar 95,6%.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49128458","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
Volumetry Reality Augmented Reality Application with Android Based Marker Based Tracking Method 基于安卓系统标记跟踪方法的Volumetry Reality增强现实应用
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-19 DOI: 10.24114/cess.v7i2.35248
Tri Ika Jaya Kusumawati
{"title":"Volumetry Reality Augmented Reality Application with Android Based Marker Based Tracking Method","authors":"Tri Ika Jaya Kusumawati","doi":"10.24114/cess.v7i2.35248","DOIUrl":"https://doi.org/10.24114/cess.v7i2.35248","url":null,"abstract":"Volumetry reality is an application that implements AR with an android-based marker based tracking method for presenting spatial learning materials. Learning to build space and mathematics is still an obstacle in its presentation, delivery and understanding, and the Covid-19 pandemic has forced students to study independently. This encourages educational staff to innovate in providing learning media. Volumetry reality is built by applying AR technology with a marker based tracking method, in this case it is presented in the form of a handbook intended for elementary and junior high school levels. It is designed attractively and easy to use and is equipped with a calculator and mini quiz. Volumetry reality is built using unity and the Vuforia SDK (Software Development Kit). This application can be used by scanning and producing 3D objects up to a distance of 50cm and can be used in low light.  ","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45276105","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: 1
Analysis of User Acceptance of Open Source Software (OSS) Using Task Technology Fit (TTF) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) Model 使用任务技术拟合(TTF)和技术接受与使用统一理论2(UTAUT2)模型分析开放源码软件(OSS)的用户接受度
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-12 DOI: 10.24114/cess.v7i2.35233
Stephanie Ngadiman, Nurul Mutiah, Renny Puspita Sari
{"title":"Analysis of User Acceptance of Open Source Software (OSS) Using Task Technology Fit (TTF) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) Model","authors":"Stephanie Ngadiman, Nurul Mutiah, Renny Puspita Sari","doi":"10.24114/cess.v7i2.35233","DOIUrl":"https://doi.org/10.24114/cess.v7i2.35233","url":null,"abstract":"OSS OPAC UNTAN is a joint catalog used to carry out the collection search process at the Tanjungpura University library. However, there are still many shortcomings of the system that are felt by users and librarians, such as a less interactive display and less accurate information. This indirectly affects users in using the system, so this research was conducted to determine the extent of user acceptance of OSS OPAC UNTAN and what factors influence users in using OSS OPAC UNTAN. The model used is the integration of the Task Technology Fit (TTF) model and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). The data analysis technique uses the Partial Least Square–Structural Equation Modeling (PLS-SEM) approach with the help of SmartPLS 3 tools. The results of this study indicate that there are 5 accepted hypotheses from 12 hypotheses that have been built with the Habit model factor, Task Technology Fit, Effort Expectancy, Performance Expectancy, and Technology Characteristics have a significant effect on user acceptance. The results of the research are an evaluation of the UNTAN OPAC OSS in the hope that it can be used as a decision-making for the developer in improving the characteristics of technology, features, and services so that they can be utilized by users and operate optimally.Keywords: User Acceptance, OPAC, PLS-SEM, TTF, UTAUT 2","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46701461","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
Dashboard System for Predicting Student Practicum Performance Using the Data Mining Method 利用数据挖掘方法预测学生实习表现的仪表板系统
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-12 DOI: 10.24114/cess.v7i2.35394
Adam Fahsyah Nurzaman, R. Jayadi
{"title":"Dashboard System for Predicting Student Practicum Performance Using the Data Mining Method","authors":"Adam Fahsyah Nurzaman, R. Jayadi","doi":"10.24114/cess.v7i2.35394","DOIUrl":"https://doi.org/10.24114/cess.v7i2.35394","url":null,"abstract":"One of the factors that can influence the success of an educational institution is the coveted quality of students. To be able to see the quality of students can be seen from the graduation obtained. One method that can be used to see the percentage of student graduation obtained is data mining. This research was conducted to examine the data assessment process using data mining methods as well as data visualization so that the information generated is better by using the dashboard. Decision tree method was chosen because the results obtained using data sources that create the highest accuracy. Out of this research, it is found that the dashboard which was developed to visualize the data to become more mature information and data assessment using data mining methods has succeeded in making stakeholders get better information and also helps in making better business decisions.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41388418","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: 1
Video Streaming Data Security Using AES-Rijndael Algorithm 基于AES Rijndael算法的视频流数据安全
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-12 DOI: 10.24114/cess.v7i2.32989
Zebedeus Cheyso, I. M. A. D. Suarjaya, Gusti Made Arya Sasmita
{"title":"Video Streaming Data Security Using AES-Rijndael Algorithm","authors":"Zebedeus Cheyso, I. M. A. D. Suarjaya, Gusti Made Arya Sasmita","doi":"10.24114/cess.v7i2.32989","DOIUrl":"https://doi.org/10.24114/cess.v7i2.32989","url":null,"abstract":"Keamanan merupakan salah satu aspek yang paling penting dalam jalannya proses pertukaran informasi di masa ini. tidak semua informasi yang dipertukarkan dapat diperbolehkan menjadi konsumsi publik apalagi jika jatuh ke tangan pihak yang tidak bertanggung jawab yang dapat mengubah, memanipulasi dan menyebarkan informasi tersebut tanpa izin. Salah satu bentuk informasi yang perlu dilakukan langkah pengamanan ialah data video streaming. Metode enkripsi adalah pilihan yang paling tepat untuk mengamankan kerahasiaan data tersebut. Enkripsi merupakan sebuah ilmu untuk mengkonversikan sebuah data menjadi bentuk yang tidak dapat dimengerti guna menyembunyikan informasi yang hanya dapat diakses oleh pihak yang berhak. Penelitian ini memanfaatkan algoritma enkripsi AES-Rijndael untuk mengamankan data dan informasi dari video streaming yang dilakukan antara client dan server dengan memanfaatkan protokol transmisi RTP dan RTSP dalam kontrol alur media, enkripsi AES-Rijndael akan digunakan untuk mengubah data dari format file video berekstensi Mjpeg. Algoritma AES-Rijndael mampu mengamankan data dan informasi video dengan baik, ketika client memasukan kunci dekripsi yang berbeda, frame video yang dikirimkan dari server tidak dapat didekripsi dan ditampilkan secara utuh. Pengujian hashing SHA-256 dilakukan pada 25 dan 50 frame dari video untuk mengecek keaslian data berjalan dengan baik tanpa ada perubahan pada data frame yang dikirimkan.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49408684","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
K-Nearest Neighbor's Accuracy in Dermatic Bacterial Disease Diagnosis Results 皮肤细菌性疾病诊断结果的K-近邻准确性
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-12 DOI: 10.24114/cess.v7i2.34855
Puji Sari Ramadhan, Saiful Nurafif, Muhammad Syahril
{"title":"K-Nearest Neighbor's Accuracy in Dermatic Bacterial Disease Diagnosis Results","authors":"Puji Sari Ramadhan, Saiful Nurafif, Muhammad Syahril","doi":"10.24114/cess.v7i2.34855","DOIUrl":"https://doi.org/10.24114/cess.v7i2.34855","url":null,"abstract":"Penelitian ini membahas dan memaparkan tentang mencari nilai akurasi dari metode K-Nearest Neighbor dalam menghasilkan kesimpulan. Hal ini perlu dilakukan untuk mengetahui efektivitas metode tersebut dalam menyelesaikan permasalahan yang terjadi. Dalam penelitian ini akan dilakukan perhitungan nilai akurasi dengan menggunakan studi kasus identifikasi penyakit Dermatic Bacterial. Pemilihan kasus ini didasari dengan fakta bahwa sulitnya melakukan diagnosis melalui gejela-gejala yang terjadi serta penanganan dini terhadap penyakit tersebut. Masalah yang terjadi dikarenakan keterbatasan pengetahuan masyakarat serta keterbatasan para ahli yang berada di berbagai daerah. Penelitian ini diawali dengan pengumpulan data kasus, gejala dan penyakit pada Dermatic Bacterial, selanjutnya membentuk basis pengetahuan berdasarkan data kasus. Proses tersebut dilanjutkan dengan melakukan perhitungan dengan menggunakan metode K-Nearest Neighbor. Setelah memperoleh hasil diagnosa berdasarkan perhitungan yang telah dilakukan menggunakan metode K-Nearest Neighbor maka proses selanjutnya adalah mencari nilai akurasi hasil diagnosa yang akan dibandingkan dengan hasil diagnosa pakar. Pada penelitian ini menggunakan 10 data sampel riwayat kasus sebelumnya dan 20 sampel untuk data pengujian. Dari proses pengujian yang dilakukan maka diketahui bahwa untuk nilai akurasi pada metode K-Nearest Neighbor sebesar 85%, sehingga dapat disimpulkan bahwa metode K-Nearest Neighbor sangat baik digunakan dalam melakukan perhitungan hasil diagnosa sebagai bagian dari diagnosa awal dan penanganan dini terhadap pasien","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45968937","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
Comparative Audit of Batam City Information System and COVID-19 National Website 巴淡岛城市信息系统与COVID-19国家网站的比较审计
CESS Journal of Computer Engineering System and Science Pub Date : 2022-07-07 DOI: 10.24114/cess.v7i2.32354
Hendi Sama, Muhammad Rivaldy Hisham, Jumiliono Pratama, Luky Andito, Andy Kho, Hendry Wijaya
{"title":"Comparative Audit of Batam City Information System and COVID-19 National Website","authors":"Hendi Sama, Muhammad Rivaldy Hisham, Jumiliono Pratama, Luky Andito, Andy Kho, Hendry Wijaya","doi":"10.24114/cess.v7i2.32354","DOIUrl":"https://doi.org/10.24114/cess.v7i2.32354","url":null,"abstract":"The use of Information Technology for the information center on the COVID-19 web in Batam city and the COVID-19 web in Indonesia, must be supported by IT Governance which describes the most important factors in the use of IT. In addition, the development of the internet also supports the use of computers. The data on the two websites may still not be used as the main reference data due to differences in data from the national web version and Batam City, also because the data obtained are not aligned and do not intersect, it can cause errors in reporting the data that has been collected in such a way. In this study, an Information System Audit will be carried out with the process of collecting and also evaluating evidence about the accuracy of the available information to determine the level of suitability of the information with the audit standards that have been set and express the results of the examination, based on the information system audit standards. The results of the assessment of aspects of the security system, design, navigation, mobile friendly, speed, content quality and keywords of the two websites show that it is very worthy to say that it is very good.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46142389","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: 2
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