bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimasi Keamanan Web Server Terhadap Serangan Brute-Force Menggunakan Penetration Testing
Authors: Fachri Fahmi 
Published: August 2023

Peningkatan serangan siber dan pencurian data sensitive menjadi topik utama yang sering dibahas saat ini, karena semakin banyak aplikasi berorientasi pengguna dengan memberikan semua informasinya dikerahkan ke web. Uji coba penetrasi diartikan sebagai upaya resmi dalam mengeksploitasi system dengan tujuan mencari kelemahan yang ada pada web server serta meningkatkan keamanan system. Pengujian penetrasi ini dilakukan pada web server yang merupakan Sistem Informasi Akademik pada perguruan tinggi. Metode yang digunakan dalam penelitian ini mencakup Intelligence Gathering, Vulnerability Analysis, Exploitation, Post Exploitation, Reporting. Hasil Penelitian menampilkan terdapat tiga kategori kelemahan, 5 kerentanan dalam level High, 164 kerentanan dalam level Medium, 52 kerentanan di level Low. Terbukanya beberapa port yang masih terbuka dan menyebabkan penyusup dengan mudah masuk kedalam system untuk melakukan serangan Brute Force atau yang lainnya. Hasil uji coba simulasi serangan pada server berhasil dilakukan dengan mendapatkan username dan password, hal ini tentunya berbahaya system dapat diambil alih oleh penyusup. Optimalisasi keamanan pada system dilakukan perbaikan dengan mengkonfigurasi File2ban yang ada pada server untuk mencegah dan menutup akses penyusup agar tidak bisa masuk kedalam system, hal tersebut sudah dilakukan dan berhasil menolak attacker untuk masuk kedalam sytem. Berdasarkan perolehan data pada perbaikan web server ini telah sesuai dengan harapan yang diinginkan peneliti. AbstractThe increase in cyber attacks and theft of sensitive data is a major topic that is often discussed today, as more and more user-oriented applications by providing all their information are deployed to the web. Penetration testing is defined as an official attempt to exploit the system with the aim of finding weaknesses in the web server and improving system security. This penetration test is carried out on a web server which is an Academic Information System at a university. The methods used in this research include Intelligence Gathering, Vulnerability Analysis, Exploitation, Post Exploitation, Reporting. The results of the study show that there are three categories of weaknesses, 5 vulnerabilities at the High level, 164 vulnerabilities at the Medium level, 52 vulnerabilities at the Low level. The opening of several ports that are still open and causes intruders to easily enter the system to carry out Brute Force attacks or others. The results of the simulation trial of the attack on the server were successfully carried out by obtaining a username and password, this is of course dangerous that the system can be taken over by intruders. Optimization of security on the system was repaired by configuring File2ban on the server to prevent and close access to intruders so that they could not enter the system, this has been done and succeeded in refusing the attacker to enter the system. Based on the data obtained on the repair of this web server, it is in accordance with the expectations of the researchers
Akuisisi Bukti Digital Tiktok Berbasis Android Menggunakan Metode National Institute of Justice
Authors: Anggraini Fitri , Herman Herman , Yudhana Anton 
Published: August 2023

Seiring mudahnya menjangkau internet maka masyarakat sangat mudah menggunakan media sosial. Media sosial sangat berdampak positif bagi khalayak ramai seperti mudahnya dijangkau informasi dan mengakses perkembangan zaman, meskipun demikian tidak menutup kemungkinan media sosial dapat mendatangkan pengaruh negatif seperti tindak kejahatan cyberbullying, penipuan, ancaman, dan pencemaran nama baik. Aplikasi TikTok merupakan media sosial yang paling banyak diunduh menurut We Are Social dan Hootsuite pada Januari 2022 dan aplikasi TikTok rentan menyebabkan terjadinya kejahatan pencemaran nama baik, dan terjadinya ancaman. Penelitian ini bertujuan melakukan proses forensik untuk mendapatkan bukti-bukti pencemaran nama baik dan ancaman pada media sosial TikTok. Penelitian ini menggunakan framework dari National Institute of Justice (NIJ) dengan tahap identification, collection, examination, analysis, dan reporting. Tools yang digunakan dalam penelitian yaitu MOBILedit forensic Express. Proses forensik yang dilakukan berhasil mendapatkan data pada smartphone yang belum di-root hanya bisa mendapatkan informasi aplikasi TikTok, images, dan waktu kejadian dengan persantase tingkat keberhasilan 42,8%. Sedangkan pada smartphone yang sudah di-root didapatkan data berupa informasi aplikasi TikTok, nama akun, Messanges, image, waktu kejadian, dan video serta hastag tidak dapat ditemukan dengan persantase tingkat keberhasilan 85,7%. AbstractAs it is easy to reach the internet, it is very easy for people to use social media. Social media has a very positive impact on the general public such as easy access to information and access to the times, however it is possible that social media can have negative effects such as cyberbullying, fraud, threats, and defamation. The TikTok application is the most downloaded social media according to We Are Social and Hootsuite in January 2022 and the TikTok application is vulnerable to causing crimes of defamation, and threats. This study aims to conduct a forensic process to obtain evidence of defamation and threats on TikTok social media. This study uses a framework from the National Institute of Justice (NIJ) with the stages of identification, collection, examination, analysis, and reporting. The tools used in this research are MOBILedit Forensic Express. The forensic process that was carried out succeeded in obtaining data on a smartphone that had not been rooted, only being able to get information on the TikTok application, images, and the time of the incident with a success rate of 42.8%. Meanwhile, on a rooted smartphone, data in the form of TikTok application information, account names, messages, images, time of occurrence, and videos and hashtags could not be found with a success rate of 85.7%.
Mapreduce dalam Layanan Transcoding
Authors: Kristiadi David , Marwati Arum 
Published: August 2023

<p>Penyediaan <em>file</em> video dengan <em>bitrate</em> bervariasi menjadi syarat utama bagi layanan <em>Video On Demand</em> yang menerapkan <em>adaptive streaming</em>. Hal tersebut dilakukan dengan <em>transcoding</em> yang menghasilkan<em> </em>video dengan <em>multi-bitrate</em>. Proses <em>multi-bitrate</em> <em>transcoding</em> membutuhkan waktu yang tidak singkat. Lama durasi waktunya sebanding dengan besarnya <em>bitrate, frame size</em> dan <em>frame rate</em>. Untuk mempersingkat durasi <em>transcoding</em>, dibuat sebuah prototipe layanan <em>transcoding </em>dengan menerapkan <em>Mapreduce</em>. Layanan <em>transcoding</em> dengan <em>Mapreduce</em> terdiri dari satu komputer <em>master</em> dan beberapa komputer <em>worker</em> yang terhubung dalam satu LAN. Dengan dikoordinir oleh komputer <em>master</em>, komputer-komputer <em>worker</em> mengerjakan proses <em>Map</em> dan <em>Reduce</em>. Di dalam proses <em>Map</em> dilakukan <em>transcoding</em> terhadap <em>segmented videos</em>. Di dalam proses <em>Reduce </em>dilakukan penggabungan segmen-segmen video yang telah di-<em>transcode</em> dengan parameter/<em>key</em> (<em>bitrate, frame size,</em> dan <em>frame rate</em>) yang sama menjadi satu video yang utuh. Prototipe layanan <em>transcoding </em>dibuat menggunakan <em>Library FFMPEG</em> untuk <em>transcoding</em>, SCP untuk transfer <em>file</em>, RPC untuk komunikasi antar komputer. Di dalam pengujian prototipe, jumlah komputer <em>worker</em> ditentukan sebanyak 7 buah. Kinerja layanan <em>transcoding</em> sangat memuaskan dengan rata-rata efektifitas <em>transcoding </em>sebesar 71,3% dibandingkan dengan <em>transcoding </em>menggunakan satu komputer.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>The provision of video files with varying bitrates is the main requirement for Video On Demand services that implement adaptive streaming. Transcoding that produces multiple bitrates achieves that. Multi-bitrate transcoding can take a longer time. That duration is comparable with the large of the video's bitrates, frame sizes, and frame rates. A transcoding service prototype was created based on Mapreduce to shorten the duration. Transcoding service using Mapreduce consists of several computers connected to a LAN, one as master and the other as worker computers. The master coordinates the workers to do the Map and Reduce process. In the Map process, workers transcode the segmented videos. In the Reduce process, workers merge all transcoded video segments with the same key or parameters (bitrate, frame size, and frame rate) into a single video. The transcoding service prototype was created using the FFMPEG library for transcoding, SCP for file transfer, and RPC for communication between computers. In the testing stage, the number of workers is 7 computers. Service performance is very satisfactory, with average transcoding effectiveness of </em>71,3%<em> compared to transcoding using a single computer.</em></p><p><em><strong><br /></strong></em></p><p> </p>
Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN)
Authors: Sasongko Theopilus Bayu , Haryoko Haryoko , Amrullah Agit 
Published: August 2023

Kemajuan teknologi deep learning seringkali berbanding lurus dengan keterkaitan metode yang dapat diandalkan dalam penggunaan jumlah data yang besar. Convolutional Neural Network (CNN) adalah salah satu algoritma deep learning yang paling popular saat ini guna pengolahan citra. Pada era deep learning model CNN yang kompleks seperti saat ini memiliki tantangan-tantangan yang baru baik gradient vanishing, overfitting yang dikarenakan keterbatasan dataset, optimasi parameter hingga keterbatasan perangkat keras. Penelitian ini bertujuan mengukur pengaruh teknik fine tuning dan augmentasi dataset pada model transfer learning CNN Mobilenet, Efficientnet, dan Nasnetmobile dengan dataset yang variasi jumlah dataset yang memiliki jumlah yang terbatas. Pada hasil dari penelitian ini, dari ketiga dataset yang digunakan sebagai dalam melakukan training pada model efisien transfer learning baik MobileNet, EfficientNet, dan NasNetmobile, teknik augmentasi zoom range ataupun random erase dapat meningkatkan akurasi pada dataset dengan jumlah 56 citra dan 222 citra, sedangkan pada dataset dengan jumlah 500 data citra, semua teknik augmentasi terbukti dapat meningkatkan akurasi pada model arsitektur MobileNetV2 dan NasNetMobile. Sedangkan teknik fine tuning terbukti efektif dalam meningkatkan akurasi pada semua skala data yang kecil. AbstractToday deep learning technology is often associated with reliable processes (methods) when we have large amounts of data. In deep learning CNN (Convolutional Neural Network) plays a very important role which is often used to analyze (classify or recognize) visual images. In the era of deep learning models such as the complex Convolutional Neural Network (CNN) as it is today, it has new challenges such as gradient vanishing, overfitting due to dataset limitations, parameter optimization to hardware limitations. The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. This study aims to measure the effect of fine tune and dataset augmentation techniques on CNN mobilenet, efficientnet, and nasnetmobile transfer learning models with very small datasets. The results of this study are that of the three datasets used as the basis for training in efficient transfer learning models (mobilenet, efficientnet, and nasnetmobile), random erase and zoom range augmentation techniques dominate the increase in model accuracy. The amount of increase in accuracy after random erase or zoom range augmentation that occurs is about 0.03% to 0.1%.
Clustering Gempabumi di Wilayah Regional VII Menggunakan Pendekatan DBSCAN
Authors: Arafat Ihsan Bagus Fahad , Hariyadi Mokhamad Amin , Santoso Irwan Budi , Crysdian Cahyo 
Published: August 2023

Wilayah Regional VII meliputi Jawa Tengah, Yogyakarta, dan Jawa Timur merupakan wilayah tektonik yang aktif karena terletak di wilayah zona subduksi lempeng Indo-Australia dan Eurasia serta terdapat beberapa patahan aktif di daratan. Oleh karena itu, perlu dilakukan klasifikasi gempabumi untuk memetakan zona rawan gempabumi berdasarkan sumbernya di wilayah Regional VII berdasarkan kesamaan atribut salah satunya adalah berdasarkan karakteristik gempabumi dari sumber yang sama. Pada penelitian ini digunakan pendekatan algoritma Unsupervised Learning Clustering berbasis kepadatan yaitu, Density Based Spatial Clustering of Application with Noise atau DBSCAN, algoritma ini membutuhkan parameter input epsilon (Îµ) dan MinPts. Data yang digunakan pada penelitian ini adalah data gempabumi wilayah Regional VII tahun 2017 hingga 2021 yang diperoleh dari BMKG. Selanjutnya, proses clustering dilakukan dengan membagi data gempabumi berdasarkan periode yaitu periode tahunan dan periode lima tahun dengan tujuan untuk mengetahui pola cluster berdasarkan periode waktu. Hasil yang terbentuk selanjutnya dievaluasi menggunakan Silhouette Coefficient serta dibandingkan dengan peta Seismisitas Jawa yang telah ada dari katalog PuSGeN 2017. Hasil clustering menggunakan DBSCAN diperoleh jumlah cluster sebanyak 2 hingga 6 cluster dengan nilai Silhouette Coefficient terendah sebesar 0.270 untuk periode T5_2017-2021 dan tertinggi sebesar 0.499 untuk periode T1_2020.Â AbstractRegional VII area covering Central Java, Yogyakarta and East Java is an active tectonic region because it is located in the subduction zone of the Indo-Australian and Eurasian plates and there are several active faults on land. Therefore, it is necessary to classify earthquakes to map earthquake-prone zones based on their sources in Regional VII area based on the similarity of attibutes, based on the characteristics of earthquakes from the same source. In this study, a density-based Unsupervised Learning Clustering algorithm approach was used namely, Density Based Spatial Clustering of Application with Noise or DBSCAN, this algorithm requires the input parameters epsilon (Îµ) and MinPts. The data used in this study are earthquake data for Regional VII from 2017 to 2021 obtained from the BMKG. Then, the clustering process is carried out by dividing earthquake data based on the period, namely the annual period and the five-year period with the aim of knowing the pattern of cluster based on the time period. The results are then evaluated using the Sillhouette Coefficient and compared with the existing Java Seismicity map from the 2017 PuSGeN catalog. Clustering results using DBSCAN obtained a number of clusters of 2 to 6 clusters with the lowest Silhouette Coefficient value is 0.270 for the T5_2017-2021 period and the highest is 0.499 for the T1_2020 period. Â
Copyright Research Protocol for Comprehensive Assessment of the Dento-Alveolar Complex in Patients with Temporomandibular Joint Disorders: Clinical Cases
Authors: Tekucheva S. V. , Bazikyan E. A. , Afanasyeva Ya. I. , Postnikov M. A. 
Published: August 2023

Background. Currently, the issues of diagnosis and treatment of patients with dentoalveolar injuries combined with temporomandibular joint disorders are highly relevant due to a progressive increase in the number of cases of this pathology among the population. Despite the availability of the comprehensive methodology in diagnostics of dentoalveolar injuries, dentists lack standardized algorithms for effective examination and systematization of the data obtained in the diagnostics of such groups of patients, which is necessary for personalized planning and pathogenetic therapy. The authors present the algorithm they developed for comprehensive assessment of dentoalveolar injuries in patients with temporomandibular joint disorders.Case descriptions. The paper presents clinical cases of two patients with abnormal occlusion associated with temporomandibular joint disorder. The patients underwent a comprehensive morphofunctional examination of the dentoalveolar complex in accordance with the diagnostic algorithm patented by the authors, including following methods: clinical (interview, examination), anthropometric (anthropometry of dentition), radiological (cone-beam computed tomography, magnetic resonance imaging of the temporomandibular joint), functional (surface electromyography of the masticatory muscles, computer kinesiography, electro-vibrography, ultrasound examination of the temporomandibular joint), to make the final diagnosis and to determine the order and scope of treatment.Conclusion. The authors presented and proved clinically the algorithm of morphofunctional diagnostics for the dento-alveolar complex of patients with temporomandibular joint disorders, combining clinical, anthropometric, radiological and functional methods of examination, which allow the most dento-alveolar characteristics to be considered in order to make the main diagnosis and a personalized treatment protocol for such groups of patients
Evaluating the Efficacy of Synbiotic Mouthwash in Patients with Dyscirculatory Encephalopathy: Observational Clinical Study
Authors: Mitronin A. V. , Maksimova M. Yu. , Ostanina D. A. , Antonova O. A. , Mitronin Yu. A. 
Published: August 2023

Background. At present, the priority direction of medical science and practice is the prevention of dental diseases, especially in patients with somatic pathology. Patients with dyscirculatory encephalopathy develop a complex of neurological disorders, accompanied by impaired motor functions of hands, lips and chewing muscles, which leads to ineffective cleansing of the oral cavity from food residues and formation of soft and mineralized dental deposits on the dental surface. Therefore, these patients should use additional personal hygiene products.Objective. To evaluate the efficacy of hygienic care in patients with dyscirculatory encephalopathy using mouthwash with synbiotic complex.Methods. An observational clinical study was conducted on the basis of Neurology Unit No. 2 of Research Center of Neurology, Department of Cariology and Endodontics and Department of Biological Chemistry, A.I. Yevdokimov Moscow State Medical and Dental University. The study enrolled 82 patients aged from 45 to 74 years with cerebrovascular disease, dyscirculatory encephalopathy, decompensation (I68.7, according to ICD-10). Patients were divided into two study groups: group 1 (n = 44) — patients who used mouthwash with synbiotic complex; group 2 (n = 38) — patients who did not use mouthwash. The efficacy of mouthwash with synbiotic complex was assessed by using an index score of a simplified Greene Vermillion Oral Hygiene Index (OHI-S), Russell Periodontal Index (PI), Papillary Bleeding Index (PBI), and physicochemical parameters of the oral fluid. Statistical processing of the results was carried out using Stat Plus 7 (Analyst Soft Inc., USA).Results. The comparative analysis proved the efficacy of mouthwash with synbiotic complex. The hygienic status improved to (1.50 ± 0.12) points, the state of periodontal tissues — to (PI = (1.94 ± 1.45) points; PBI = (1.12 ± 0.11) points). The hydrogen index (pH) of the oral fluid decreased to weakly alkaline values — (7.92 ± 0.22) points; the activity of alkaline phosphatase decreased by a factor of 1.4, lactate dehydrogenase — by half, aminotransferases — by a factor of 1.3, and D-dimer — by a factor of 1.2.Conclusion. The obtained results demonstrate the efficacy of mouthwash as an additional means for personal hygiene. Mouthwash with synbiotic complex should be included in the daily oral hygiene care for patients with dyscirculatory encephalopathy.
Examination of the Microvasculature During Wound Process of the Oral Mucosa when Using Dual-Wavelength Photodynamic Therapy: a Pre-Clinical Experimental Randomized Study
Authors: Durnovo E. A. , Tarakanova V. A. , Shakhova M. A. , Peretyagin P. V. , Durnovo S. A. 
Published: August 2023

Background. Healing of open wounds in the oral cavity is often accompanied by infection and constant traumatization, which lead to impaired blood supply to the tissues, lack of trophic support and low oxygen supply to increasing proliferative processes. Recently, photodynamic therapy has taken its place among the methods for stimulating regeneration of oral mucosal tissues. The authors consider it essential to study the influence of photodynamic treatment on the functional state of the microvasculature in the wound tissues, which determines the transcapillary exchange and the tissue respiration, providing the tissue regeneration.Objective. To study the photodynamic effect of sequential dual-wavelength radiation on the microvasculature in the wound tissues of the oral mucosa in vivo.Methods. The study was carried out on 36 female outbred Wistar rats, weighing 200–250 g. The animals were divided into two groups: control group (n = 18) and experimental group (n = 18). Wound surfaces healed by secondary intention were modeled on the cheek mucosa of the animals. Dual-wavelength photodynamic therapy was performed in the 1st postoperative day in experimental group. The microcirculatory function was assessed by Doppler flowmetry before, and on days 3, 7 and 14 after wounding. The results were processed using IBM SPSS Statistics 26.0.0.1 (IBM Inc., USA).Results. It has been established that dual-wavelength photodynamic therapy has a positive effect on the restoration of the microvasculature of the wound tissues. This therapy facilitated bypassing for microcirculatory flow on the 3rd day of the study, and increased the perfusion of tissues on the 7th. The experimental group did not have congestive-ischaemic phenomena in the wound region; the microcirculatory flow was augmented through the microcirculation regulation by the 14th day.Conclusion. Following the obtained results the use of dual-wavelength photodynamic therapy can be considered as a promising method for restoration of the microvasculature of tissues in the oral mucosal trauma.
Evaluating the Effectiveness of the Original Designs of Immediate-Prostheses after Multiple Tooth Extraction: Clinical Cases
Authors: Gus’kov A. V. , Mashutin S. A. , Oleinikov A. A. , Zainutdinov M. K. , Klimenko E. A. , Toropova L. S. 
Published: August 2023

Background. Rehabilitation of patients with chronic periodontal diseases leading to multiple tooth loss can be carried out using the method of immediate prosthetics. However, the likelihood of atrophy of denture-supporting tissues under non-physiological load with removable dental prostheses imposes special requirements for their design features.Case description. Two patients seeking for dental surgical and prosthetic treatment for the diagnosis of chronic generalized periodontitis were treated in the dental clinic of Ryazan State Medical University named after academician I.P. Pavlov. Patient A. was mounted immediate prostheses made using additive technologies with the original design of the drug reservoir. Patient B. was mounted immediate prostheses with bases made of acrylic plastic, border ring of elastic polymer, and a drug reservoir made of polymethyl methacrylate. Patients underwent tooth extraction with immediate prosthetics. Patients were followed for 21 days. Criteria for the effectiveness of treatment included visual and palpatory control of extraction sites with a planimetric wound size analysis, assessment of microcirculation at the extraction site, control of the drug persistence in the reservoirs of prostheses.Conclusion. The observations at the stages of prosthodontic treatment revealed that immediate prostheses made with the help of 3D modeling and printing technologies resulted in a normal course of healing after tooth extraction with the normalization of microcirculatory parameters at the surgical wound sites. When using combined prosthetic structures, healing of postoperative wounds also proceeded favorably, however, congestion in the microcirculatory system was noted.