bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting A Botnet By Reverse Engineering
Authors: Kelana Oesman Hendra , Mustofa Khabib 
Published: August 2020

Abstract— Botnet malware is a malicious program. Botnet that infects computers, called bots, will be controlled by a botmaster to do various things such as: spamming, phishing, keylogging Distributed Denial of Service (DDoS) and other activities that are generally profitable to the owner of the bot (botmaster) or those who use botnet services. The problem is that many computers have been controlled by botnets without the knowledge of the computer owner. There are many ways to examine botnets, for example by studying the traffic from the botnet network, studying how botnets communicate to each, studying how each robot receives orders to do something, and so forth. Of the many methods, the most frequently and commonly used is the reverse engineering, where researchers study how a botnet works by botnet debugging.In this study the author tries to understand or research botnets by taking a type of botnet, namely Agobot, using reverse engineering. One of the result of the research is that malware program files in general and in particular botnet has a technique to obscure the way that research using reverse engineering.Another result also shows that the botnet Agobot runs on computers by using the Windows service, and by changing the Windows registry so that every time the computer starts, Agobot always actively works in the computer memory.Keywords— Malware, Bot, Botnet, Botmaster, Agobot, Spam, Distributed Denial of Services, Identity Theft, Computer Security, Reverse Engineering, Debug, Windows Service, the Registry.
Sistem Pendukung Keputusan Pemilihan Subkontrak Menggunakan Metode Entropy dan TOPSIS
Authors: Jamila Jamila , Hartati Sri 
Published: August 2020

Abstract— Outsourcing is a part of production process of manufacturing industry which contribute for suitainability of a manufacture process. Choosing appropriate subcontractor which match spesification is not easy. In order to help company in determining credible subcontractors is needed a decision support system.Selection of decision support system for the production of subcontracting gloves uses Entropy and TOPSIS methods. Entropy method is used to give weight to the criteria. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used to select the best subcontractors, where subcontracting was elected not only has the shortest distance from the positive ideal solution but it also has the longest distance from the negative ideal solution. Designing of systems use ERD and DFD for identifying the needs of users and systems, and as for guiding the software implementation. The results of this research are the establishment of an application used to select subcontractors based on established criteria. Test results on the application can provide decision input/suggestion, although the criteria used in making decision is different. Subcontract selection decision support system can be an alternative to choose subcontractors for the production of gloves in PT. Adi Satria Abadi Yogyakarta.Keywords— DSS, Decision Support System, Entropy, TOPSIS, Subcontract
Reversible Watermarking dengan Metode Modifikasi Histogram pada Difference Image
Authors: Retno Yustina , Harjoko Agus 
Published: August 2020

Abstract— Reversible watermarking schemes are widely used to maintain the authenticity of the digital image. This research will discuss a method on histogram modification of difference image in which the difference image is created from the difference value of adjacent pixels of the image grayscale. Embedding process begins by dividing the host image and watermark into b blocks, followed by making a difference image of the host image block. From the difference image histogram, determine the peak value, and modify the histogram based on the peak value. Then, insert each block of the watermark to the difference image that has been modified and transform back into the grayscale image.Extraction and recovery process is the inverted version of the embedding stage. This process begins by dividing the watermarked image into b blocks, followed by making a difference image of each block. Then, extract the data and shift difference image histogram using a peak value. That difference image is transformed back into a grayscale image. Experimental results demonstrate that the average insertion capacity is 14% greater than Xue's with PSNR value over 48 dB for 4 x 4 pixels and 23 % greater with PSNR over 46 dB for 8 x 8 pixels. From the comparison of robustness to line and salt n’ pepper on the density of 0.05 noises is obtained that the watermark with ECC is more robust than a watermark without ECC. JPEG compression in lossless mode may be applied to the watermarked image. Multiple insertion of watermark can be done with the consequence that the more insertions will result in lower PSNR values.Keywords—difference image, histogram modification, reversible watermarking
Analisis Fitur Kalimat untuk Peringkas Teks Otomatis pada Bahasa Indonesia
Authors: Zaman Badrus , Winarko Edi 
Published: August 2020

Abstract— Automatic Text Summarization (ATS) is a technique to create a summary of the document automatically by using computer applications to produce the most important information from the original document. Features are required to perform weighting of sentences, including Log-TFISF (term frequency index sentence frequency), sentence location, sentence overlap, title overlap and sentence relative length. This research conducted an analysis of five features in order to determine the weights of each feature that will get the results of a coherent summary. The five features are implemented in automated text summarization system in Indonesian language that was developed using the method of relative importance of topics. Results from experiments show that sentence location feature has the highest F-Measures namely 0.46 and then consecutive sentence overlap, title overlap, sentence relative length and Log-TFISF, with a value of 0.42, 0.42, 0.35 and 0.32. Relative weights of feature extraction consecutive from the largest are sentence location, sentence overlap, title overlap, sentence relative length and Log-TFISF with a value of 0.25, 0.22, 0.22, 0.19 and 0.12. These relative weights are implemented on ATS, so we get accuracy of 70.62%. It is more accurate 2,86% than without relative weights which accuracy of 67,72%.. .Keywords— Automatic Text Summarization (ATS), Log-TFISF, sentence location, sentence overlap, title overlap, sentence relative length, bahasa Indonesia
Rancang Bangun Keamanan Web Service Dengan Metode Ws-Security
Authors: Muzakir Ari , Ashari Ahmad 
Published: August 2020

AbstrakWeb service menggunakan teknologi XML dalam melakukan pertukaran data. Umumnya penggunaan web service terjadi pertukaran data ataupun informasi penting yang perlu dijaga keamanannya. Bentuk pengamanan yang diterapkan pada web services adalah dengan penggunaan teknik kriptografi kunci-publik. Adapun serangan dapat berupa pengintaian, perusakan maupun pencurian data. Salah satu cara penyelesaian terbaik adalah dengan membuat data tersebut tidak dapat dibaca orang lain. Implementasi yang telah dilakukan dengan menggunakan library keamanan akan memberikan kemudahan dalam membangun keamanan web service karena dengan dukungan library XMLSEC sebagai library pendukung dan library class_wss yang telah dibangun mampu mengatasi masalah keamanan pada jalur transport khususnya untuk otentikasi, otorisasi, dan konfidensialitas pesan SOAP request. Model WS-Security dengan menggunakan XML Signature, XML Encryption, serta Security Token yang memanfaatkan algoritma kriptografi RSA dengan panjang kunci 1024 bit mampu memberikan perlindungan terhadap transmisi data antara client dan server web service. Pengujian yang dilakukan pada web service dengan menerapkan model library class_wss sebagai keamanan web service yang dibangun memberikan hasil yang baik, yaitu pesan SOAP request terenkripsi dan mampu didekripsi dengan baik serta dapat tertandatangani dan dicek keasliannya.Kata kunci— Keamanan Web Service, XML Signature, XML Encryption, Security Token. Abstract Web service uses XML technology to exchange data in. Generally, the use of the web service exchanges data or important information that needs to be guarded security. Form of security is applied to web services is to use public-key cryptography techniques. The attack can be a reconnaissance, destruction or theft of data. One way the best solution is to create data that can not read anyone else, even if someone else managed to retrieve the data, he will not be able to read it. The implementation was done by using the security library will provide facilities in developing a web security service for the library support XMLSEC as library supporters and library class_wss that have been built able to overcome the problem of security on the transport path, especially for authentication, authorization, and confidentiality request SOAP message. Model WS-Security using XML Signature, XML Encryption, and Security Token which utilizes the cryptographic algorithm RSA with 1024 bit key length to provide protection against transmission of data between client and server web service. Tests performed on the web service by implementing a security model class_wss library web service that is built to give good results, the SOAP request message is encrypted and decrypted with a good and able to sign and check their authenticity too.Keywords— Web Service Security, XML Signature, XML Encryption, Security Token
Telaah Metode-metode Pendeteksi Kebohongan
Authors: Gunadi I Gede Aris , Harjoko Agus 
Published: August 2020

AbstrakPendeteksi kebohongan adalah aplikasi yang menerapkan berbagai cabang ilmu pengetahuan(psikologi,kedokteran,biologi,fisika,komputer,dan lain lain). Aplikasi pendeteksi kebohongan sangatlah berguna terutama dikalangan penegak hukum, untuk mengungkap fakta fakta. Pada prinsipnya metode pendekteksi kebohongan bekerja berdasarkan perubahan respon fisiologis tubuh manusia, yang diakibatkan oleh usahanya untuk menutupi kebohongannya.Dalam paper ini akan dibahas berbagai pendekatan metode yang telah dikembangkan untuk mendeteksi kebohongan,diantaranya deteksi kebohongan berdasarkan konduktivitas kulit, bentuk tulisan tangan , isi ( content tulisan), analisis suara, termograpy, dan gesture.Kata kunci— Lie detector, Detection Deception, Polygraph, PDD Test.AbstractLie detector is an application that applying various of knowledge such as psychology,medicine,biology,physics, computer , and etc. This application is very useful especially among law officer to detect deception. In principle , the lie detector’s methods work based on change of fisilogy respon at human being body. The change of psiology respon is caused by effort to keep their deception. In this papers, we present an approach various methods of lie detection which have been developed . we will present lie detection based on skin conductivity respon, handwriting form, article content, voice analysis, image infrared, and gesture. Keywords— Lie detecotor, Detection Deception, Polygraph, PDD( polygraph Detection deception) Test.
Penerapan Algoritma Optimasi Chaos pada Jaringan Ridge Polynomial untuk Prediksi Jumlah Pengangguran
Authors: Pramitasari Rina , Wardoyo Retantyo 
Published: August 2020

AbstrakRidge polynomial neural network (RPNN) awalnya diusulkan oleh Shin dan Ghosh, dibangun dari jumlah peningkatan order pi-sigma neuron (PSN). RPNN mempertahankan pembelajaran cepat, pemetaan yang kuat dari layer tunggal higher order neural network (HONN) dan menghindari banyaknya bobot karena meningkatnya sejumlah input. Algoritma optimasi chaos digunakan dengan memanfaatkan persamaan logistik yang sensitif terhadap kondisi awal, sehingga pergerakan chaos dapat berubah di setiap keadaan dalam skala tertentu menurut keteraturan, ergodik dan mempertahankan keragaman solusi.Algoritma Optimasi Chaos diterapkan pada RPNN dan digunakan untuk prediksi jumlah pengangguran di Kalimantan Barat. Proses pelatihan jaringan menggunakan ridge polynomial neural network, sedangkan pencarian nilai awal bobot dan bias jaringan menggunakan algoritma optimasi chaos. Struktur yang digunakan terdiri dari 6 neuron layer input dan 1 neuron layer output. Data diperoleh dari Badan Pusat Statistik.Hasil dari penelitian ini menunjukkan bahwa algoritma yang diusulkan dapat digunakan untuk prediksi. Kata kunci—prediksi jumlah pengangguran, jaringan syaraf tiruan, algoritma optimasi chaos, ridge polynomial neural network Abstract Ridge polynomial neural network was initially proposed by Shin and Ghosh, made of total increased pi-sigma neural (PSN) orders. Ridge polynomial neural network maintains quick learning, strong mapping of single layer of higher order neural network (HONN) and avoids many weights because total increased inputs. Chaos optimization algorithm is used by utilizing sensitive logistic equation to initial condition, so that chaos movement can change in each condition in specific scale according to orderliness, ergodic, and maintaining solution variety. Chaos optimization algorithm is applied to ridge polynomial neural network and used to predict total unemployed persons in West Kalimantan. Network training process used ridge polynomial neural network; while, initial values and weights and bias of network were found using Chaos optimization algorithm. Structure used consisted of 6 input layer neurons and one output layer neuron. Data were obtained from Central Statistic Agency. The results of research indicated that algorithm proposed could be used to predict Keywords— predict the number of unemployed, neural networks, chaos optimization algorithm, ridge polynomial neural network
Purwarupa Sistem Pakar dengan Mamdani Product untuk Menentukan Menu Harian Penderita DM
Authors: Hasanah Nur , Wardoyo Retantyo 
Published: August 2020

AbstrakPada 2025 diperkirakan 12,4 juta orang yang mengidap Diabetes Melitus (DM) di Indonesia. Perencanaan makan merupakan salah satu pilar dalam pengelolaan DM. Sistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Logika fuzzy fleksibel, memiliki kemampuan dalam proses penalaran secara bahasa dan memodelkan fungsi-fungsi matematika yang kompleks. Penelitian ini bertujuan menerapkan metode ketidakpastian logika fuzzy pada purwarupa sistem pakar untuk menentukan menu harian. Manfaat penelitian ini adalah untuk mengetahui keakuratan mesin inferensi Mamdani Product. Pendekatan basis pengetahuan yang digunakan pada sistem pakar ini adalah dengan Rule-Based Reasoning. Proses inferensi pada sistem pakar menggunakan logika fuzzy dengan mesin inferensi Mamdani Product. Fuzzifier yang digunakan adalah Singleton sedangkan defuzzifier yang digunakan adalah Rata-Rata Terpusat. Penggunaan kombinasi Singleton fuzzifier, mesin inferensi Product dan defuzzifier Rata-Rata Terpusat yang digunakan pada sistem pakar dapat diterapkan untuk domain permasalahan yang dibahas. Meskipun demikian, terdapat kemungkinan Singleton fuzzifier tidak dapat memicu beberapa atau semua aturan. Jika semua aturan tidak dapat dipicu maka tidak dapat disimpulkan kebutuhan kalori hariannya. Kata kunci— sistem pakar, logika fuzzy, mamdani product, diabetes, menu AbstractIt is predicted that 12.4 million people will suffer from Diabetes Mellitus (DM) in Indonesia in 2025. Menu planning is one of the important aspects in DM management. Expert system can be used as a consultant that gives suggestion to users as well as an assistant for experts. Fuzzy logic is flexible, has the ability in linguistic reasoning and can model complex mathemathical functions. This research aims to implement fuzzy logic uncertainty method into expert sistem prototype to determine diabetic daily menu. The advantage is to find out the accuracy of Mamdani Product inference engine. The knowledge-based approach in this expert system uses Rule-Based Reasoning. The inference process employs fuzzy logic making use of Mamdani Product inference engine. The fuzzifier used is Singleton while defuzzifier is Center Average. The combination of Singleton fuzzifier, Mamdani Product inference engine and Center Average defuzzifier that is used can be applied in the domain of the problem under discussion. In spite of the case, there is possibility that Singleton fuzzifier can’t trigger some or all of the rules. If all of the rules can’t be triggered then the diabetic daily menu can’t be concluded. Keyword— expert system, fuzzy logic, mamdani product, diabetes, menu
Aplikasi Metode Fuzzy Multi-Attribute Decision Making Berbasis Web dalam Pemilihan Calon Kepala Daerah di Indonesia
Authors: Munawar Yusro Muhamad , Wardoyo Retantyo 
Published: August 2020

AbstrakSejak tahun 2005 di Indonesia sudah dilaksanakan pemilihan kepala daerah (pilkada) secara langsung mulai dari pemilihan kepala desa, bupati, walikota sampai dengan gubernur. Majalah SwaSembada menyebutkan ada pemilihan langsung untuk 500 anggota DPR; 33 gubernur, serta sekitar 460 pemilihan untuk jabatan bupati dan wali kota. Dalam penelitian ini dibuat sebuah aplikasi yang mampu mensimulasikan suatu bentuk aplikasi pengambilan keputusan kasus Penentuan Pilihan Calon Kepala Daerah di Indonesia menggunakan metode Fuzzy MADM yang dikembangkan oleh Moon Hyun Joo dan Chang Sun Kang. Sistem ini mempunyai kemampuan menampung input kriteria yang diinginkan dari pengguna, alternatif pasangan calon, dan pada akhirnya mampu memberikan tampilan visual berupa himpunan solusi terbaik dari beberapa alternatif yang diberikan menggunakan metode perangkingan Nilai Total integral. Dari dua kasus pemilihan bupati yang diujikan ternyata hasil perangkingan tidak selalu sama tergantung dari tingkat keoptimisan (a) yang dipakai. Kata kunci— fuzzy, fmadm, pemilihan kepala daerah AbstractSince 2005, in Indonesia the election of regional leader (pilkada) has been held directly start from election of countryside head, regent, mayor up to governor. SwaSembada Magazine mentioned that there are direct elections to elect 500 members of DPR; 33 governors, and also about 460 elections for the occupation of lord mayor and regent. The aim of this research is to create an application which is capable to simulate a Decision Making System in the case of Determination the Choice in the Election of Regional Leader in Indonesia using the Fuzzy MADM method developed by Moon Hyun Joo and Chang Sun Kang. This system is able to accomodate the criterion input as the consumer want, alternative of candidate couple, and finally can give the visual appearance in the form of best solution gathering from some given alternatives using the Nilai Total integral sort method. This system has been implemented in two elections of Regional Leader, and from the test can be concluded that the result of the sort is not always the same. It depends on the optimism storey level (a) that used in the system. Keywords— fuzzy, fmadm, election of regional leader
Simulasi Antrian Jaringan Multi Server Menggunakan Metode Open Jackson
Authors: Supriana I Wayan , Subanar Subanar 
Published: August 2020

AbstrakAntrian paket data pada jaringan komputer memiliki model antrian jaringan, dimana proses transmisi yang rumit sehingga tidak dapat diselesaikan secara analitik. Pemodelan dan simulasi diperlukan untuk menyelesaikan masalah antrian jaringan. Model antrian dalam penelitian ini adalah jaringan terbuka dengan analisis paket data menggunakan model server tunggal. Waktu pelayanan paket memiliki distribusi Eksponensial dan distribusi Erlang yang digunakan sebagai pembanding. Jika waktu pelayanan paket data menggunakan distribusi Eksponensial maka model menjadi M/M/1, sedangkan waktu pelayanan paket data menggunakan distribusi Erlang dengan parameter m dan µ, maka model menjadi M/E[m]/1. Penelitian ini menggunakan metode open Jackson untuk melakukan simulasi antrian jaringan guna menghitung nilai karakteristik jaringan. Pengujian sistem simulasi menggunakan packet switching network pada server jaringan komputer Jurusan Ilmu Komputer Universitas Udayana untuk mengetahui performansi sistem yang menggunakan distribusi waktu pelayanan berbeda. Hasil pengujian menunjukkan bahwa waktu pelayanan distribusi Eksponensial memiliki karakteristik yang lebih baik dari distribusi Erlang pada parameter m-Erlang ≥ 2. Kata kunci— antrian jaringan, distribusi,sistem performansi, multi server. AbstractQueue data packet at computer network having a network queueing model, with complicated transmission process so that it can not be solved analytically. Modeling and simulation are needed to resolve the issue queue network. Queueing model in this research is an open network with the analysis of data packet using a single server model. Service time packet has Exponential distribution and Erlang used as comparison. If the service time of data packet using the Exponential distribution, then the model become M/M/1, whereas the service time using the Erlang distribution with parameter m and µ, then the model becomes M/E[m]/1. This research uses an open Jackson method to perform queueing network simulations to calculate the characteristics of network queueing system. Examination of simulation system uses data packets on a computer network server of Department Computer Science University of Udayana to determine system performance using with different service time distribution. The result of examination indicate that service time of Exponential distribution has better characteristic then Erlang distribution at parameter m-Erlang ≥2. Keywords— queueing network, distribution, system performance, multiple server