Jurnal Komputasi is an online journal written by researchers and published by the Department of Computer Science, University of Lampung. Specific scientific information contained in journals is difficult to find because journals have not been structured and are classified into more specialized categories of computer science. Text mining can convert the shape of a journal into structured by homogeneous data form in it. 144 journal abstracts are collected into one corpus document in CSV format used as a research dataset. Journal abstract classification is done using one of the supervised machine learning methods, namely Support Vector Machine (SVM) so that the classification process is faster than the manual method. The TF-IDF technique is used to transform sentences in the abstract into vector so that they can be modelled with SVM. The classification model will be validated by applying the 10-fold cross validation technique. From these classifications a calculation of the resulting performance will be calculated based on the confusion matrix calculation of the resulting performance will be calculated based on the confusion matrix calculation and the use of 3 SVM kernels. The conclusion based on this research is that there are two factors that affect classification accuracy, that is the number of members between scientific classes that are not balanced and the number of features generated from text mining. The highest accuracy of testing result obtained on the use of 205 features and SVM Linear kernel with a value of 58,3%.
UPT Language University of Lampung (Unila) is one of the Technical Services Unit (UPT) that utilizes information systems to support effectiveness and efficiency in its implementation in the field. The purpose of this study is to analyze the process of information system risk management at the Unila Language UPT using ISO 31000 and produce recommendations for work units about effective control measures and appropriate treatment for the risks faced. Information system risk management at UPT Language Unila is implemented to anticipate the source of risk threats by means of communication and consultation, setting the context (scope), risk assessment, monitoring and review, and handling. The results of this risk management research are, there are 15 possible risks. These risks are classified into 3 risk categories including personnel risk, system and infrastructure risks, and incidental risks. The level of risk is divided into 5 namely, very high risk, high risk, moderate risk, low risk, and very low risk.
<p class="Abstrak">Informasi merupakan hal yang sangat berharga. Saat informasi atau data jatuh ke tangan yang tidak bertanggung jawab, maka akan menjadi bencana bagi pemiliknya. Berbagai macam cara dilakukan untuk melindungi data atau informasi. Teknik pengamanan data atau informasi telah berkembang dengan sangat pesat. Proses pengamanan pesan yang banyak beredar diataranya dengan menggunakan kriptografi dan steganografi. Dua teknik ini merupakan teknik yang berbeda maksud dan tujuannya. Kriptografi bertujuan untuk mengacak pesan supaya sulit dibaca oleh pihak yang tidak berkepentingan. Sedangakan steganografi bertujuan untuk menyembunyikan pesan.</p><p class="Abstrak">Pada penelitian ini akan menggabungkan teknik kriptografi metode AES dengan teknik steganografi metode <em>gifsuffle</em>. Teknik kriptografi metode AES akan digunakan untuk merubah data atau informasi yang berbentuk <em>plain</em>-<em>text</em> menjadi <em>cipher</em>-<em>text</em>. Selanjutnya <em>cipher</em>-<em>text</em> tesebut akan disembunyikan ke dalam gambar berformat gif dengan metode steganografi <em>gifsuffle</em>. Metode <em>gifsuffle</em> akan dikombinasikan dengan algoritma huffman untuk memperbanyak pesan yang dikirimkan.</p><p class="Abstrak">Penelitian ini berhasil menggabungkan metode kriptografi AES dengan metode steganografi <em>gifsuffle</em>. Hasil pengujian <em>imperceptibility</em> menunjukkan 85% responden tidak dapat membedakan gambar asli dengan gambar yang telah disisipi pesan. Pemisahan gambar dengan pesan dapat dilakukan dengan akurasi 100% dan proses dekripsi pesan cipher-text menjadi plain-text juga dapat dilakukan dengan sempurna.</p><p class="Abstrak"> </p><p class="Judul2"><strong><em>Abstract</em></strong></p><p class="Abstract"><em>Information is a very valuable thing. When information or data falls into irresponsible hands, it will be disastrous for the owner. A variety of ways are done to protect data or information. Data security techniques have grown very rapidly. The process of securing a message that many circulated diataranya by using cryptography and steganography. These two techniques are different techniques of purpose and purpose. Cryptography aims to randomize messages to be difficult to read by unauthorized parties. While steganografi aims to hide the message.</em></p><p class="Abstract"><em>In this research combine AES cryptographic method and with gifsuffle steganography method. AES method will be used to convert data or information in the plain-text form into cipher-text form. Furthermore, the cipher-text will be hidden into gif-format images with gifsuffle steganography method. The gifsuffle method will be combined with the huffman algorithm to multiply the transmitted data.</em></p><p class="Abstract"><em>This research successfully combined AES cryptography method with gifsuffle steganography method. Imperceptibility test results show 85% of respondents can not distinguish original images with images that have been inserted data. Separation of images with data can be well done and the accuration reach 100%. Process of decrypting cipher-text into plain-text can also be done perfectly.</em></p>
Audit of Information security system in the Communication and Information department is needed to determine the extent of information system carried out. This reasearch uses the ISO/ IEC 27001: 2013. Data from this reasearch were obtained based on the result of interview, observation and questionnaire. The respondent conducted a self assessment, then the researcher observe. The results of this study indicate that the average maturity level of the respondent is at level 2 (repeatable) with a value of 2.13 and the average maturity level of the finding is level 2 (repeatable) with a value of 2.40. The difference between the respondent value and the finding value show that in the sub domain information security incident management. This difference occur due to the absence of existing SOP procedure and criteria. Overall, there is no policy in developing the system through a process of security testing.
Pemerintah indonesia sudah membuat undang undang dengan tujuan keselamatan dalam berkendara, namun sebagian masyarakat masih melanggarnya, terutama dalam mengenakan helm standar dan berkendara dalam kondisi lelah atau mengantuk. Hal ini perlu dikampanyekan untuk kesadaran masyarakat. Salah satu tren teknologi di era industri 4.0 adalah Internet of Things (IoT). Dalam artikel ini membahas pemanfaatan teknologi IoT untuk membantu keselamatan pengendara dalam upaya preventif dengan mendesain prototipe helm pintar. Helm ini mempunyai kepintaran untuk memaksa pengendara mengenakan helm dengan benar (helmet detection) dan mengingatkan pengendara bilamana mengantuk (drowsiness detection). Penelitian ini menggunakan metode experimental, menerapkan platform Firebase dan NodeMCU untuk menghadirkan konsep IoT dalam implementasi fungsionalitas helm pintar tersebut. Accelerometer MPU6050 digunakan untuk drowsiness detection dan untuk helmet detection menggunakan flex sensor disertai switch untuk memastikan sabuk helm sudah dikenakan dengan baik. Aktuator dari deteksi helm adalah relay (kontak ke engine motor), sedangkan aktuator deteksi kantuk adalah buzzer (suara beep). Dua fungsionalitas helm pintar ini berjalan dengan baik. Adapun nilai akurasi untuk deteksi kantuk adalah 78% dan untuk deteksi helm 100%.
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