bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reinforced Intrusion Detection Using Pursuit Reinforcement Competitive Learning
Authors: Tiyas Indah Yulia Prafitaning , Barakbah Ali Ridho , Harsono Tri , Sudarsono Amang 
Published: February 2017

Today, information technology is growing rapidly,all information can be obtainedmuch easier. It raises some new problems; one of them is unauthorized access to the system. We need a reliable network security system that is resistant to a variety of attacks against the system. Therefore, Intrusion Detection System (IDS) required to overcome the problems of intrusions. Many researches have been done on intrusion detection using classification methods. Classification methodshave high precision, but it takes efforts to determine an appropriate classification model to the classification problem. In this paper, we propose a new reinforced approach to detect intrusion with On-line Clustering using Reinforcement Learning. Reinforcement Learning is a new paradigm in machine learning which involves interaction with the environment.It works with reward and punishment mechanism to achieve solution. We apply the Reinforcement Learning to the intrusion detection problem with considering competitive learning using Pursuit Reinforcement Competitive Learning (PRCL). Based on the experimental result, PRCL can detect intrusions in real time with high accuracy (99.816% for DoS, 95.015% for Probe, 94.731% for R2L and 99.373% for U2R) and high speed (44 ms).The proposed approach can help network administrators to detect intrusion, so the computer network security systembecome reliable.Keywords: Intrusion Detection System, On-Line Clustering, Reinforcement Learning, Unsupervised Learning.
Impression Generation of Indonesian Cultural Paintings for Mobile Application with Culture Dependent Color-Impression Metric Creation Contents
Authors: Kuswhara Devira Nanda , Barakbah Ali Ridho , Mubtadai Nur Rosyid , Setiowati Yuliana 
Published: February 2017

Painting is one of complex image reflecting observations and feelings of the artist to the environment. This condition extends the need of painting impression generation system since common people with lack of art experience would have difficulties to interpret the painting. From this point of view we presents a new model to provide representative impressions of paintings by providing a color-impression metric taken from public survey and implement it for mobile application. The new model provides analytical functions to generate the representative impression of the image query. The functions consist of two main section: (1) The cultural-dependent color-impression metric creation which consist of conducting survey, applying normalized 3D color vector quantization to image dataset, generating image-impression metric, and generating color- impression metric; and (2) Impression generation of image query which consist of applying normalized 3D color vector quantization to image query and measuring the similarity between image query andcolor-impression metric. To perform our proposed impression generation system, we examine our system with Indonesian cultural image dataset and 5 different mobile devices. Our proposed system performs main color impression precision result with average precision of more than 60%. Brightness intensity and zooming affects the retrieved impressions. Rotating captures of an image generate the same retrieved impressions. The system also performs average response time vary in range 41263 to 117434 milliseconds from all devices.Keywords: impression generation system, color based impression, cultural computing, mobile application.
Automatic Backup System for Virtualization Environment
Authors: Winarno Idris , Sani Muzaki Nurus 
Published: February 2017

Virtualization is a technology lately much discussed and considered as the proper way to cut costs in the construction of a data center. One example of the implementation of virtualization technologies is to using VMware. Another tools for virtualization are Xen and OpenVZ, but VMware is more flexible than Xen or OpenVZ because VMware can run a variety of operating systems. Although it has the advantage, virtualization technology also has a vital weakness, virtualization technologies could be analogous by putting all the eggs in a basket. This means that if the master server problem, all systems inside the virtual machine can not be used. However, it can be anticipated by provide backup facilities that run continually and automatically. VMware itself has had an application to backup/replicate virtual machines. However, that application is not free yet.This research has been design and creates a web-based software forbacking up virtual machines on VMware. So it made easier for users and admins to perform periodic backups of virtual machines. From the test results has been done, it can be seen that used disk type thin or zeroed thick make process backup faster, system can’t work well when virtual machine has snapshot, scheduling system and restoring system has worked well, physical ability data storage influence system.Keywords: Virtual machine, virtualization, Vmware, Backup, Data Center.
Evacuation System in a Building Using Cellular Automata for Pedestrian Dynamics
Authors: . Muarifin , Harsono Tri , Barakbah Aliridho 
Published: February 2017

The sense of safety in public facilities for pedestrians can be shown by the availability of good infrastructure, particularly the building. One of the aspects that can make pedestrians feel comfortable and safe is the availability of evacuation facilities in emergency situation. When a disaster strikes, people would start to panic and this will cause problems, especially during an evacuation.During panic in an evacuation process, pedestrians tend to act blindly and walk randomly and mindlessly. They might follow one another when they get panic. This is called as herding behavior. Regarding the evacuation systems, cellular automata is the basic method used to represent human motion. The movement of pedestrian is an important aspect during an evacuation process and this can be analyzed and implemented by using Cellular Automata. It is a simple method yet it can solve complex problems.Total evacuation time becomes the indicators in measuring the efficiency of this system. The result of comparison method shows that the proposed method could work better in certain conditions. In addition, the results of the experiments during panic and normal situation show similar characteristics especially regarding density aspect, yet evacuation time during panic situation takes longer time. The experiment’s results by using the actual data also has similar tendency with the evacuation time.Keywords: evacuation time, cellular automata, panic behavior, pedestrian
Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features
Authors: Amirullah Desi , Barakbah Ali Ridho , Basuki Achmad 
Published: February 2017

The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songket. Each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources of songket patterns and that philosophy reflects to the beliefs and values of Malay culture. In this research, we propose a system to facilitate an understanding of songket and the philosophy as a way to conserve Songket culture. We propose a system which is able to collect information in image songket motif variations based on feature extraction methods. On each image songket motif variations, we extracted philosophy of rhyme into impressions, and extracting color features of songket images using a histogram 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moment invariants. Then, we created an image search based on impressions, and impressions search based on image. We use techniques of search based on color, shape and aggregation (combination of colors and shapes). The experiment using impression as query : 1) Result based on color, the average value of true 7.3, total score 41.9, 2) Result based on shape, the average value of true 3, total score 16.4, 3) Result based on aggregation, the average value of true 3, total score 17.4. While based using Image Query : 1) Result based on color, the average precision 95%, 2) Result based on shape, average precision 43.3%, 3) Based aggregation, the average precision 73.3%. From our experiments, it can be concluded that the best search system using query impression and query image is based on the color.Keyword : Image Search, Philosophy, impression, Songket, cultural computing, Feature Extraction, Analytical aggregation.
Differential Spatio-temporal Multiband Satellite Image Clustering using K-means Optimization With Reinforcement Programming
Authors: Rachmawan Irene Erlyn Wina , Barakbah Ali Ridho , Harsono Tri 
Published: February 2017

Deforestration is one of the crucial issues in Indonesia because now Indonesia has world's highest deforestation rate. In other hand, multispectral image delivers a great source of data for studying spatial and temporal changeability of the environmental such as deforestration area. This research present differential image processing methods for detecting nature change of deforestration. Our differential image processing algorithms extract and indicating area automatically. The feature of our proposed idea produce extracted information from multiband satellite image and calculate the area of deforestration by years with calculating data using temporal dataset. Yet, multiband satellite image consists of big data size that were difficult to be handled for segmentation. Commonly, K- Means clustering is considered to be a powerfull clustering algorithm because of its ability to clustering big data. However K-Means has sensitivity of its first generated centroids, which could lead into a bad performance. In this paper we propose a new approach to optimize K-Means clustering using Reinforcement Programming in order to clustering multispectral image. We build a new mechanism for generating initial centroids by implementing exploration and exploitation knowledge from Reinforcement Programming. This optimization will lead a better result for K-means data cluster. We select multispectral image from Landsat 7 in past ten years in Medawai, Borneo, Indonesia, and apply two segmentation areas consist of deforestration land and forest field. We made series of experiments and compared the experimental results of K-means using Reinforcement Programming as optimizing initiate centroid and normal K-means without optimization process.Keywords: Deforestration, Multispectral images, landsat, automatic clustering, K-means.
Modified GTS Allocation Scheme for IEEE 802.15.4
Authors: Darmawan Zakha Maisat Eka , Al Rasyid M. Udin Harun , Sudarsono Amang 
Published: February 2017

IEEE 802.15.4 standard is widely used in wireless personal area networks (WPANs). The devices transmit data during two periods: contention access period (CAP) by accessing the channel using CSMA/CA and contention free period (CFP), which consists of guaranteed time slots (GTS) allocated to individual devices by the personal area network (PAN). However, the use of GTS slot size may lead to severe bandwidth wastage if the traffic pattern is not fit or only a small portion of GTS slot is used by allocated device. The proposed scheme devides the GTS slot and then optimizes the GTS slot size by exploiting the value of superframe order (SO) information. The proposed scheme was tested through simulations and the results show that the new GTS allocation scheme perform better than the original IEEE 802.15.4 standard in terms of average transmitted packets, throughput, latency and probability of successful packets.
Ambient Noise Characterization of Shallow Water Environment
Authors: Santoso Tri Budi 
Published: February 2017

Understanding of environmental characteristic is a key factor in design of communication system. This paper describes an ambient noise characterization of measurement in the shallow water ofSurabaya bay. The result showed that probability density function (pdf) of ambient noise is close to a Gaussian distribution with the mean of -2.85x10-5 and deviation standard of 9.87x10-4. Validation has been done by using mean square error (MSE) and Bhattacharya distance. Fitting between cdf of measurement result and theory was done by using MSE with the value of and Kolmogorov Smirnov test with the value of 3.9x10-4 and 4.9x10-2 respectively. In the frequency domain analysis, it is showed that in the range of 0 ~ 9 kHz has a deceasing level from -100 until -140 dB. In the frequency of 9 ~ 13.5 kHz, the spectral is flat as like a white. It can be used as a reference in decision of range frequency of underwater acoustic communication systems that will be applied.Keywords: ambient noise, statistical characteristics, underwater acoustic.
An Embedded System for applying High Performance Computing in Educational Learning Activity
Authors: Wina Rachmawan Irene Erlyn , Fahmi Nurul , Widodo Edi Wahyu , Huda Samsul , Pamenang M. Unggul , Roziqin M. Choirur , W. Andri Permana , Sukaridhoto Stritusta , Pramadihanto Dadet 
Published: February 2017

HPC (High Performance Computing) has become more popular in the last few years. With the benefits on high computational power, HPC has impact on industry, scientific research and educational activities. Implementing HPC as a curriculum in universities could be consuming a lot of resources because well-known HPC system are using Personal Computer or Server. By using PC as the practical moduls it is need great resources and spaces. This paper presents an innovative high performance computing cluster system to support education learning activities in HPC course with small size, low cost, and yet powerful enough. In recent years, High Performance computing usually implanted in cluster computing and require high specification computer and expensive cost. It is not efficient applying High Performance Computing in Educational research activiry such as learning in Class. Therefore, our proposed system is created with inexpensive component by using Embedded System to make High Performance Computing applicable for leaning in the class. Students involved in the construction of embedded system, built clusters from basic embedded and network components, do benchmark performance, and implement simple parallel case using the cluster. In this research we performed evaluation of embedded systems comparing with i5 PC, the results of our embedded system performance of NAS benchmark are similar with i5 PCs. We also conducted surveys about student learning satisfaction that with embedded system students are able to learn about HPC from building the system until making an application that use HPC system.
Comparison of The Data-Mining Methods in Predicting The Risk Level of Diabetes
Authors: Wicaksono Andri Permana , Badriyah Tessy , Basuki Achmad 
Published: February 2017

Mellitus Diabetes is an illness that happened in consequence of the too high glucose level in blood because the body could not release or use insulin normally. The purpose of this research is to compare the two methods in The data-mining, those are a Regression Logistic method and a Bayesian method, to predict the risk level of diabetes by web-based application and nine attributes of patients data. The data which is used in this research are 1450 patients that are taken from RSD BALUNG JEMBER, by collecting data from 26 September 2014 until 30 April 2015. This research uses performance measuring from two methods by using discrimination score with ROC curve (Receiver Operating Characteristic). On the experiment result, it showed that two methods, Regression Logistic method and Bayesian method, have different performance excess score and are good at both. From the highest accuracy measurement and ROC using the same dataset, where the excess of Bayesian has the highest accuracy with 0,91 in the score while Regression Logistic method has the highest ROC score with 0.988, meanwhile on Bayesian, the ROC is 0.964. In this research, the plus of using Bayesian is not only can use categorical but also numerical.
Performance Analysis of Cell Zooming Based Centralized Algorithm for Energy Efficient in Surabaya
Authors: Mahmudah Hani’ah , Puspitorini Okkie , Wijayanti Ari , Siswandari Nur Adi , Yuanita Rosabella Ika 
Published: February 2017

The cellular subscribers’s growth over the years increases the traffic volume at Base Stations (BSs) significantly. Typically, in central business district (CBD) area, the traffic load in cellular network in the daytime is relatively heavy, and light in the daynight. But, Base Station still consumes energy normally. It can cause the energy consumption is wasted. On the other hand, energy consumption being an important issue in the world. Because, higher energy consumption contributes on increasing of emission. Thus, it requires for efficiency energy methods by switching BS dynamically. The methods are Lower-to-Higher (LH) and Higher-to-Lower (HL) scheme on centralized algorithm. In this paper propose cell zooming technique which can adjusts the cell size dynamic based on traffic condition. The simulation result by using Lower-to-Higher (LH) scheme can save the network energy consumption up to 70.7917% when the number of mobile user is 37 users and 0% when the number of mobile user is more than or equal to 291 users. While, Higher-to-Lower (HL) scheme can save the network energy consumption up to 32.3303% when the number of mobile user is 37 users and 0% when the number of mobile user is more than or equal to 292 users. From both of these schemes, we can analyze that by using Lower-to-Higher (LH) scheme reduces energy consumption greater than using Higher-to-Lower (HL) scheme. Nevertheless, both of them can be implemented for energy-efficient method in CBD area. Eventually, the cell zooming technique by using two schemes on centralized algorithm which leads to green cellular network in Surabaya is investigated.
LOW COST DIKAITKAN DENGAN VALUE CHAIN: STRATEGI MERAIH KEUNGGULAN KOMPETITIF DAN PENGARUHNY A TERHADAP PENCAPAIAN KINERJA RATA-RATA
Authors: Fadjrih Asyik Nur 
Published: February 2017

Artike l ini bertujuan menjelaskan peran sistem akuntansi manajemen dalam menunjang pe-laksanaan stra1egi agar perusahaan tetap survire dalam persaingan dan mencapai kine1:ja diatas rala-rata. Sistem akuntansi manajemen ya ng didesain sesuai dengan strategi perusahaan akan memperlancar dan menjaga kesinambungan pelaksanaan. trategi {lihat Kaplan (1984), Palmer (1992). Atkinson etc. (1995)1. Namun demikian, dalam kaitannya dengan pelaksanaan strategi, akuntansi manajemen tradisional hanya menekankan pada biaya produk5i dan lalai memperhatikan biaya pemasaran, pengemb angan produk dan ino-vasi teknologi. Dengan kata lain, akuntansi rnanajemen tradisiona/ tidak memperhatikan value chain pemasok dan value chain pembeli. Oleh karena itu, manajemen memerlukan "Sistem Ak untansi Manajemen Strategik" untuk meninjau organism;i secara tepat dan mengetahui posisi persaingannya . Porter (1985) menyarankan cara bersaing dengan me-ngembangkan strategi yang berorientasi pada d(ferensiasi (d!fferentiation strategy) atau berorientasi pada biaya rendah (low cost strategy) atau berorientasi pada fokus (focus slrategy). Tanpa mengabaikan basis d!ferensiasi dan jokus, low cost terhadap pesaing menjadi tema yang menjiwai keseluruhan strategi. Dan artikel ini menganalisis penerapan strategi low cost dikaitkan dengan value chain dalam rangka mengatasi akuntansi manajemen tradisional dengan berusaha mengidentifikasi dan mengeliminasi aktivitas yang non-value added activities (aktivitas tidak rnenambah nilai).
PENGUKURAN KEMBALI POS-POS LAPORAN KEUANGAN DENGAN MATA UANG KINI KE MATA UANG FUNGSIONAL YANG BARU
Authors: Riduwan Akhmad 
Published: February 2017

As from January 1, 2000, business companies in Jndonesia are permitted to issue financial statement in currencies other than Rupiah as long as the currency involved is a fanctional currency. Financial currency is essential currency in economic substantial, thai is dominant currency in the company 's operation. If the reporting currency uses functional currency, the recording currency also use the same fanctiona/ currency. Consequently, the transactions which is stated ini other fanctional currency, Rupiah for example) should first be calculated in the fanctional curreny as a new recording currency. The procedure of converting recording and reporting is provided in the Pernyataan Standar Akuntansi Keuangan (PSAK) No .52.
PENERAPAN AKUNTANSI PERPAJAKAN DI INDONESIA
Authors: Ngumar Sutjipto 
Published: February 2017

The good corporate accounting system, represents the important supportung fact or, on tax system. Tax accounting is parts of accounting corelates eilh information service, about taxation's rule government. It's a part of accounting, tax accounting concepted by information service concordance with taxation rule to tax officer. This paper written how the important recording to produce financial statement, which used by government or financial resources.As apart of accounting there are some equal and differences comercial between accounting and tax accounting. The main differences the is timing difference and permanent difference. The development of tax accounting continues for developing comercial, accounting, there are many coloured policies and tax policy, either regional, national and global policy.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PARTISIPASI ANGKATAN KERJA WANITA DAERAH TINGKAT I JAWA TIMUR
Authors: Riyadi Slamet 
Published: February 2017

Perbedaan dalam struktur ekonomi yan[? terjadi dalam proses pembangunan biasanya mempunyai pen[?aruh yang besar terhadap TPAK ( Tingkat Partisipasi Angkatan Kerja) wanila. Dengan penggunaan huruf "U", dimana tingkat pendidikan tertinggi adalah perguruan tinggi dan tingkat pendidikan terendah ada/ah SD hingga SLTP, sehingga dapat diambil kesimpulan bahwa semakin tinggi tingkat pendidikan akan dapat memba wa perubahan da/am TPAK ( Tingkat Partisipasi Angkatan Kerja ). Pada tahap­ tahap pertama da/am pembangunan, lapangan kerja di sector pertanian dan sector tradisional lainnya akan berkurang lebih cepat daripada peningkalan lapangan kerja di sector modern. Diramalkan bahwa ha/ ini akan mengurangi kesempatan kerja dan meningkatkan pengangguran tertama dari kalangan wanita. Pada waktu bersamaan, proses pembangunan juga meningkatkan pendapatan keluarga sehingga mengurangi tekanan ekonomi, yang sebelumnya memaha lranita untuk bekerja. Kedua ha/ ini menyababkan wanita cenderung keluar dari angkatan kerja dan menyebabkan TPAK (Tingkat Partisipasi Angkatan Kerja) wanila menurun.Ditinjau dari umur pun ha/ inijuga terjadi yaitu pol a huru.f "U" baik di kola maupun di desa. Umumnya TPAK wanita meningkat pada kelompok umur sebelum meningkat 15 - 19 tahun, 20 - 21 tahun (umur bekerja) 50 51 tahun. Selain itu peningkatan TPAK (Tingkat Partisipasi Angkatan Kerja) wanita dapat terjadi pada periode umur sebelum ke/ahiran anak, kemudian menurun pada masa kelahiran anak dan meningkat lagi pada periode setelah anak-anak menjadi besar. ( Surdarsono , 1998 ).