6 research outputs found
Analisis Perbandingan Keamanan Teknik Penghapusan Data pada Hard isk dengan Metode DoD 5220.22 dan Gutmann
No full textABSTRAKSI: Kerahasiaan informasi sebuah data perorangan maupun dalam skala besar seperti perusahaan adalah hal yang perlu dijaga agar tidak dapat diketahui secara bebas oleh orang lain. Salah satu cara untuk menjaga kerahasian itu adalah dengan melakukan penghapusan data pada media penyimpanan. Namun penghapusan data yang dilakukan secara normal akan lebih mudah untuk dapat dilakukan pemulihan data kembali dengan menggunakan perangkat lunak yang banyak tersebar luas di dunia maya. Oleh karena itu diperlukan teknik khu sus untuk melakukan penghapusan data agar tidak mudah dilakukan pemulihan kembali oleh orang yang tidak berhak. Pada tugas akhir ini diadakan uji teknik penghapusan pada media penyimpanan secara normal dan menggunakan dua metode penghapusan data yaitu Do D 5220.22 dan Gutmann. Parameter pengujian tersebut akan dilihat data yang dapat dipulihkan, integritas data, serta waktu pemulihan yang diperlukan. Pada akhir pengujian didapat hasil bahwa penghapusan dengan metode DoD 5220.22 maupun Gutmann lebih baik di bandingkan dengan penghapusan yang dilakukan secara normal, sedangkan antara metode DoD 5220.22 dan Gutmann akan menghasilkan performansi yang lebih baik pada metode DoD 5220.22. Metode DoD 5220.22 maupun Gutmaan sudah cukup untuk melakukan penghapusan dat a secara aman dan sulit untuk dapat dilakukan recovery secara normal, namun tidak menutup kemungkinan pemulihan dapat dilakukan dengan a lat atau teknik yang lebih majuKATA KUNCI: anti - forensic , file - recovery , wiping, secure deleteABSTRACT: Confidentiality of personal data as well as big scale such as company is a things that need to be guarded so cannot be known by others freely. One way to keep the confidentiality is to perform data deletion on media storage. However, data deletion that per formed normally will be easier to do data recovery using software that scattered freely on the internet. Therefore required special technique to do data deletion so that can\u27t be easily recovered by unauthorized people. In this final task will be held data deletion technique test on media storage normally and using two data deletion method which is DoD 5220.22 and Gutmann. The test parameters will be seen recovered data, data integrity, and time to do data recovery In the end of the test obtained result tha t data deletion using DoD 5220.22 as well as Gutmann method better than deletion that do normally, while between DoD 5220.22 and Gutmann methods will produce performance that better in DoD 5220.22 method. DoD 5220.22 as well as Gutmann method is enough to do data deletion safely and hard to do recovery using a normal way. However it\u27s still possible that recovery could do with a tools or technique that more advance.KEYWORD: anti - forensic , file - recovery , wiping, secure delet
Combining Type4Py’s Deep Similarity Learning-based Type Inference with Static Type Inference for Python
No full textDynamic programming languages (DPLs), such as Python and Ruby, are often used for their flexibility and fast development. The absence of static typing can lead to runtime exceptions and reduced program understandability. To overcome these problems, some DPLs have introduced optional static typing. Because of the tedious effort of adding type annotations to existing projects, different approaches have been employed to generate type annotations. Static type inference methods are sound in their suggestions, but the dynamic nature of DPLs, combined with insufficient satisfied static dependencies, can cause imprecision. Other proposed approaches used machine learning (ML)-based type inference to predict type annotations. ML-based methods don’t have the limitations of static type inference, however, their performance depends on the training set’s quality and they cannot guarantee type correctness because of their probabilistic techniques. One of such ML-based inference approaches, is the state-of-the-art Type4Py model. Type4Py suffers from some of the same limitations of other learning-based approaches, e.g. it cannot predict types outside of its pre-defined type clusters. To this end, this paper presents hpredict, a tool that combines type prediction of Type4Py’s pre-trained model with static type inference. hpredict runs Type4Py’s learning-based inference and static type inference on different copies of type slots and combines the predictions from both methods. Experiments on the test set of the ManyTypes4Py dataset show that hpredict outperforms Type4Py significantly by 11% regarding Top-10 prediction. The findings of this research, lend evidence that hpredict can increase Type4Py’s general type prediction performance by employing static type inference as well.CSE3000 Research ProjectComputer Science and Engineerin
PENGEMBANGAN KARIR INDIVIDU DALAM KEWIRAUSAHAAN
No full text Individual career development can be predicted by observing individual entrepreneurial behavior and characteristics. This article aims to present the problem of self-management in the context of developing entrepreneurial characteristics and behavior. In the theory section, the author briefly discusses the nature and concept of entrepreneurship. Then, describe an enterprising individual with a primary focus on his characteristics and behavior. The practical part of this article presents concrete examples, showing how environmental factors, under what circumstances and how, they can influence the development of entrepreneurial attitudes. The author shows examples of how entrepreneurial personality starts at various stages of development, until it develops, starting from childhood, school, to higher education
Edukasi Prospek Karier bagi Mahasiswa Ilmu Komunikasi Melalui Program Talk Show di Radio Assalam UIN Ar-Raniry
No full textToday's work climate has metamorphosed very dynamically, the human resources produced have also skyrocketed, but it does not match the available job vacancy. This becomes a problem every year as if there is no common ground. The implementation of Community Service facilitated by Assalam radio is directed to answer the above problems by providing enlightenment to prospective students, prospective alumni, and alumni of Communication Studies to be aware and ready for the realities of the existing job opportunities. Community Service was delivered in a talk show format, guided directly by Assalam practitioners. The initiators who also fill the program are two lecturers, one from Communication Studies, Teuku Umar University and the other from Islamic Communication and Broadcasting, State Islamic University Ar-Raniry. The results and conclusions that can be conveyed are that community service that was initiated runs smoothly with the support of complete broadcast media. Then the author views that dissemination or socialization in various formats is very important to be initiated for prospective students, prospective alumni, and alumni of Communication Studies so that they better understand the direction and job situation of the major taken. Because many of them are still pessimistic and confused about the majors that they have or are currently pursuing, whether they will get a job or not, there are great opportunities or not, promising or not, will become practitioners or academics, and other issues
Simulation of Mobile LoRa Gateway for Smart Electricity Meter
No full textLoRa is a viable connectivity technology for smart electricity meter. In addition to measuring electricity usage, a smart electricity meter enables many features for smart grid, safety, etc. LoRa is advertised to be capable in very long range transmission and low power consumption. However, LoRa uses sub 1 GHz unlicensed spectrum. In the era of connected smart things, this spectrum is very crowded and will be even more crowded. In this paper we propose the use of mobile LoRa gateway for smart electricity meter. With mobile LoRa gateway, the transmission range can be decreased. Thus, LoRa end devices can save more power and nearby systems can reuse the same band with less interference. We study the performance via simulation using modified LoRaSim. The result shows that the performance of LoRa mobile gateway can be achieved
