<p class="Body"><em>Open Journal System</em> (OJS) merupakan perangkat lunak yang berfungsi sebagai sarana publikasi ilmiah dan digunakan diseluruh dunia. OJS yang tidak dipantau beresiko diserang oleh <em>hacker</em>. Kerentanan yang di timbulkan oleh <em>hacker</em> akan berakibat buruk terhadap performa dari sebuah OJS. Permasalahan yang dihadapi pada sistem OJS meliputi <em>network</em>, <em>port discover</em>, proses audit <em>exploit</em> sistem OJS. Proses audit sistem pada OJS mencakup <em>SQL Injection</em>, melewati <em>firewall </em>pembobolan <em>password</em>. Parameter input yang digunakan adalah IP<em> </em><em>address</em> dan <em>p</em><em>ort open access</em>. Metode yang digunakan adalah <em>vulnerability assessment</em>. Yang terdiri dari beberapa tahapan seperti <em>information gathering</em> atau <em>footprinting</em>, <em>scanning vulnerability</em>, <em>reporting</em>. Kegiatan ini bertujuan untuk mengidentifikasi celah keamanan pada <em>website o</em><em>pen j</em><em>ournal s</em><em>ystem</em> (OJS). Penelitian ini menggunakan <em>o</em><em>pen w</em><em>eb a</em><em>pplication s</em><em>ecurity p</em><em>roject</em> (OWASP). Pengujian yang telah dilakukan berhasil mengidentifikasi 70 kerentanan<em> high</em>, 1929 <em>medium</em>,<em> </em>4050 <em>low</em> pada OJS, Total nilai <em>vulnerabilit</em>y pada OJS yang di uji coba sebesar 6049. Hasil pengujian yang dilakukan menunjukkan bahwa pada OJS versi 2.4.7 memiliki banyak celah kerentanan atau <em>vulnerability</em>, tidak di rekomendasi untuk digunakan. Gunakanlah versi terbaru yang dikeluarkan oleh pihak OJS <em>Public knowledge project</em> (PKP).</p><p class="Body"> </p><p class="Body"><em><strong>Abstract</strong></em></p><p class="Judul21"><em>The Open Journal System (OJS) is </em><em>A </em><em>software that functions as a means of scientific publication and is used throughout the world. OJS that is not monitored is at risk of being attacked by hackers. Vulnerabilities caused by hackers will adversely affect the performance of an OJS. The problems faced by the OJS system include the network, port discover, OJS system audit exploit process. The system audit process on the OJS includes SQL Injection, bypassing the firewall breaking passwords. The input parameters used are the IP address and open access port. The method used is a vulnerability assessment. Which consists of several stages such as information gathering or footprinting, scanning vulnerability, reporting. This activity aims to identify security holes on the open journal system (OJS) website. This study uses an open web application security project (OWASP). Tests that have been carried out successfully identified 70 vulnerabilities high, 1929 medium, 4050 low in OJS, the total value of vulnerability in OJS which was tested was 6049. The results of tests conducted showed that in OJS version 2.4.7 had many vulnerabilities or vulnerabilities, not on recommendations for use. Use the latest version issued by the OJS Public Knowledge Project (PKP).</em></p><p class="Body"><em><strong><br /></strong></em></p>
One of the natural potentials as a source of electrical energy is solar energy. The sun is the main energy source for most of the processes that occur on the surface of the earth. Solar radiation received by the earth's surface is a fundamental input for many aspects, mainly an important parameter in the application of solar cells as electricity generation. Sun cells are devices that can convert sunlight into electrical energy. In this study the data collection of solar cell panel data is collected which includes the solar radiation data, the voltage data generated and the electric current data generated at each variation of the tilt angle 0 o , 8 o , and 16 o . This study aims to discover the effect of changes in the slope angle of solar cell panels on the efficiency of solar power generation systems. The study method used is an experimental development method which is carried out by using the tilt angle variation of the solar panel. The angle used by taking the tilt angle of the solar panel on the negative x-axis which aims to find the maximum tilt angle value. From the test results of 50 Watt Peak (WP) solar power plant installation, it can be concluded that the highest efficiency occurs at an angle of 16 o and at 09:00 with a value of 46.076 %, then the second occurs at an angle of 8o and at 09:00 with a value of 45,052 %, then the lowest efficiency occurs at a slope angle of 0 o and at 09:00 with a value of 43,986 %.
The development of information technology is rapidly expanding to all lines in 2021, showing that there are 202.6 million users of information technology in Indonesia, out of 73.7% of the total population of Indonesians who use the internet to search for information. Indonesia's population is 274.9 million, and those who use the internet are 202.6 million. This is a good opportunity to develop an information system, one of which is in the realm of education. Education is one of the main actors in the development of human resources to make individuals who have qualities and abilities. The spiral model used in software development methods: communication, planning, risk analysis, engineering, construction and launch, customer evaluation. The results of this study The testing was carried out using the black box method. includes using the spiral method, including registration features, logins, user transactions, loan management can be done by showing an average 100% trial success that goes well.
Perkembangan teknologi semakin berkembang cepat baik dari performa, grafik, bandwidth dan lain-lainnya sehingga mempengaruhi berbagai sendi kehidupan dan profesi, hal ini menyebabkan perubahan sistem pada piranti atau kinerja pada central prosessing unit. Pada dunia bisnis, saat ini telah memfaatkan kemajuan teknologi informasi demi kelancaran kerja dibidang yang digeluti baik sekala kecil maupun sekala besar. Metode yang digunakan benchmarking merupakan suatu proses mengidetifikasi terhadap hardware dan proses suatu tolak ukur sebuah performa yang diharapkan. Adapun langkah pengujian melakukan evalusi kinerja central prosessing unit (CPU) yang dilakukan pada kinerja hardware atau perangkat keras baik prosessor, ram, vega dan lain sebagainya. Hasil pengujian yang dilaksanakan pada cental prosessing unit (CPU) penggunaan ram oleh prosessor i3 sebesar 3.1 Gb, GPU 3%, Disk uses 1%, penggunaan network atau jaringan 7.7 Mbps, penggunaan power suplay very low. Prosessor i5 sebesar 4.2 Gb, GPU 0%, Disk uses 0%, penggunaan network atau jaringan 7.7 Mbps, penggunaan power suplay low. Prosessor i7 sebesar 2.5 Gb, GPU 9%, Disk uses 9%, penggunaan network atau jaringan 104 Kbps, penggunaan power suplay high.
Small industry has a big role in encouraging development in areas, especially rural areas, which cannot be separated from national development in accordance with regional autonomy and regional aspirations. One of the small industries to fulfill development is the brick-making industry manually because it still uses a simple process in its production. Manual brick making cannot be separated from the risks that will arise for workers, one of the risks is fatigue due to the workload carried out in the process of making bricks repeatedly, the workload can be in the form of physical loads or mental loads. Fatigue from work will reduce performance and increase the rate of work errors. Increasing work errors will provide opportunities for work accidents. From this it is necessary to measure workload on work fatigue from the results of the ergonomic analysis of brickwork manual workers with Linear Regression with web-based programming. Each worker will be recorded based on the category Initial Pulse, Work Rate, Body Weight, Blood Pressure, Height, Age, as well as several questions to workers needed to measure the workload against work fatigue. Questions about Activity Weakness and Physical Fatigue in a span of days (Very Often, Often, Sometimes, Never; to each worker. The conclusion from the results of the workload analysis has an influence on fatigue of work in making bricks manually, namely Normal or Not Fatigue 6 workers , and Needs Improvement 9 workers with the percentage classification of Cardiovascular Load (CVL) is 40% and 60%.
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