bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing mathematics learning set for special-needs junior high school student oriented to learning interest and achievement
Authors: Sadidah Ai , Wijaya Ariyadi 
Published: January 2017

This study aims to produce a mathematics learning set for special-needs students (mathematical learning disability and mathematically gifted) of Junior High School Grade VIII Second Semester oriented to learning interests and achievement which is valid, practical, and effective. This study was a research and development study using the Four-D development model consisting of four stages: (1) define, (2) design, (3) develop, and (4) disseminate. The quality of learning set consisting of the following three criterions: (1) validity, (2) practicality, and (3) effectiveness. The data analysis technique used in this study is a descriptive quantitative analysis. The research produced learning set consisting of lesson plans and student worksheets. The result of the research shows that: (1) the learning set fulfill the valid criteria base on experts’ appraisal; (2) the learning set fulfill the practical criterion base on teacher’s and students’ questionnaire, and observation of learning implementation; (3) the learning set fulfill the effectiveness criterion base on learning interest and achievement.
Pembentukan Temporal Association Rules Menggunakan Algoritma Apriori (Studi Kasus:Toko Batik Diyan Solo)
Authors: Mauliani Annisa , Hartati Sri , Musdholifah Aina 
Published: January 2017

In this study the adding of time aspect on association rules mining result was used. The aspect of time that was used in this study was date of transactions. The information that was resulted from time aspect adding in association rules mining was known as temporal association rules mining.. In this study, Apriori Algorithm was used for the forming of temporal association rules. This result which show Algorithm Apriori and Temporal Association Rules can be used to get more information about Temporal Association Rules. The Result of this examination can be used for decision support for manager. Because the result of Temporal Association Rules have explanation about event. So from the result of Temporal Association Rules can be knowing, the Temporal Association Rules happened at the time of event.In Ramadan Idul Fitri 2013 and Ramadan Idul Fitri 2014 with parameter assess minsup 10%, mintempsup 5, minconf 50%, resulting different Temporal Association Rules. In Ramadan Idul Fitri 2013, no resulting Temporal Association Rules. While is on Ramadan Idul Fitri 2014 resulting Temporal Association Rules with the biggest value of support 14%, that is {BLBP} à {HPCK}.
Pemodelan dan Verifikasi Formal Pengaruh Mobility pattern Terhadap Handoff Latency pada Jaringan WiMAX
Authors: Saputra Wahyu Wijaya I Nym , Pulungan Reza 
Published: January 2017

In order to decrease handoff latency and increase the successful of HHO conventional scheme, a development of handover scheme is done in standard protocol WiMAX IEEE 802.16e by adding mobility pattern. The superiority of handover scheme with mobility pattern can reduce handoff latency up to 50%, mean while the weakness of this scheme is a wrong act in determining target base station are often happen. Simulation can not showing the cause of that error. So, we do formal verification in to hard handover model with mobility pattern. In this research, behaviour system is modeled with continuous-time Markov chain (CTMC). The model is foccused to aproximating the influence of mobility pattern in to handoff latency from WiMAX hard handover mechanism. In order to set up a series markov chain models handover system can follow steps, such as: represents the state space, give a number in all transitions, generate the rate transition matrix (infinitesimal generator). Probabilistic model checking in the research are using quantitative properties and qualitative properties. Formal verification concerning properties has relation with handover in WiMAX network showing that 70% from mobile station which doing scanning with mobility pattern are success doing handover. 24% of them doing scanning conventional as a result of wrongness in act determining target base station, so handoff latency which is pictured will bigger than a system that is only use conventional scanning method.
Pemodelan dan Verifikasi Formal Protokol EE-OLSR dengan UPPAAL CORA
Authors: Saleh Insani Rachmat Wahid , Pulungan Reza 
Published: January 2017

Information and Communication Technology systems is a most important part of society. These systems are becoming more and more complex and are massively encroaching on daily life via the Internet and all kinds of embedded systems. Communication protocols are one of the ICT systems used by Internet users. OLSR protocol is a wireless network communication protocol with proactive, and based on link-state algorithm. EE-OLSR protocol is a variant of OLSR that is able to prolong the network lifetime without losses of performance.Protocol verification process generally be done by simulation and testing. However, these processes unable to verify there are no subtle error or design flaw in protocol. Model Checking is an algorithmic method runs in fully automatic to verify a system. UPPAAL is a model checker tool to model, verify, and simulate a system in Timed Automata.UPPAAL CORA is model checker tool to verify EE-OLSR protocol modelled in Linearly Priced Timed Automata, if the protocol satisfy the energy efficient property formulated by formal specification language in Weighted Computation Tree Logic syntax. Model Checking Technique to verify the protocols results in the protocol is satisfy the energy efficient property only when the packet transmission traffic happens.
Pencarian Lowongan Pekerjaan Berbasis Agen Berdasarkan Profil Pencari Kerja dengan Pendekatan Semantic Web Service
Authors: Susyanto Teguh , Mustofa Khabib 
Published: January 2017

Currently, job searching service still has many weaknesses and often fails to provide relevant job information that matches the needs of job seekers. This is due to the searching method applied in the search engines still uses the syntax-based matching and the lack of integration among the job service providers. Therefore it’s difficult for the job seekers to get the desired information. To overcome these weaknesses, a prototype of a job vacancy searching by involving a web service as a job information provider is proposed.This thesis is aimed to create job search based on the personalization of job seeker by combining multi agent and semantic web service approaches.The designing of the prototype used a multiagent technology whose capability was to call job service provider and run matching process of the job vacancy appropriate with the job seeker’s profile automatically. Algorithm of the service selection used service matching and Simple Additive Weighting. The similary between the job offer and the job seeker’s profile was calculated by using semantic algorithm. Based on the testing carried out to the respondents, it’s stated that this prototype has been able to give recommendation of job appropriate with the job seeker’s.
Aplikasi Pencarian Lokasi Fasilitas Umum Berbasis Foursquare APIv2 pada Sistem Operasi Android
Authors: Rokhman Nur , Nugroho Iqnatius Dimas 
Published: January 2017

AbstrakSebuah smartphone umunya dilengkapi dengan Global Positioning System (GPS). Pengguna smartphone disamping dapat mengetahui lokasi dirinya, umumnya juga ingin mengetahui lokasi sekitarnya. Foursquare merupakan salah satu jejaring sosial yang menyediakan layanan berbasis lokasi. Foursquare memiliki fitur check-in, untuk menandai lokasi pengguna.Dalam penelitian ini akan dikembangkan aplikasi pada perangkat dengan sistem operasi Android yang dapat mencari lokasi fasilitas umum di sekitar pengguna dengan memanfaatkan teknologi layanan berbasis lokasi. Aplikasi ini memanfaatkan data dari Foursquare. Hasil pengujian terhadap aplikasi yang dibangun menunjukkan filter data dan sistem auto check-in berjalan dengan baik sehingga duplikasi data dalam Foursquare dapat diminimalkan. Kata kunci— Layanan berbasis lokasi, Android, Foursquare, Fasilitas umum AbstractA smartphone is equipped with Global Positioning System (GPS). A smartphone user may know the location itself, and usually want to know the surrounding location. Foursquare is a social network that provide location-based services. Foursquare has a check-in feature to mark the location of the user.This research develops applications on devices with Android operating system that can find location of public facilities around the user by using location-based services technology. This application uses Foursquare data.The test results showed that the application can filter data and the check-in systems running properly such that duplication of data in Foursquare can be minimized. Keywords— Location Based Services (LBS), Android, Foursquare, Public Facility
Penerapan Metode Support Vector Machine pada Sistem Deteksi Intrusi secara Real-time
Authors: Jacobus Agustinus , Winarko Edi 
Published: January 2017

AbstrakSistem deteksi intrusi adalah sebuah sistem yang dapat mendeteksi serangan atau intrusi dalam sebuah jaringan atau sistem komputer, umum pendeteksian intrusi dilakukan dengan membandingkan pola lalu lintas jaringan dengan pola serangan yang diketahui atau mencari pola tidak normal dari lalu lintas jaringan. Pertumbuhan aktivitas internet meningkatkan jumlah paket data yang harus dianalisis untuk membangun pola serangan ataupun normal, situasi ini menyebabkan kemungkinan bahwa sistem tidak dapat mendeteksi serangan dengan teknik yang baru, sehingga dibutuhkan sebuah sistem yang dapat membangun pola atau model secara otomatis.Penelitian ini memiliki tujuan untuk membangun sistem deteksi intrusi dengan kemampuan membuat sebuah model secara otomatis dan dapat mendeteksi intrusi dalam lingkungan real-time, dengan menggunakan metode support vector machine sebagai salah satu metode data mining untuk mengklasifikasikan audit data lalu lintas jaringan dalam 3 kelas, yaitu: normal, probe, dan DoS. Data audit dibuat dari preprocessing rekaman paket data jaringan yang dihasilkan oleh Tshark.Berdasar hasil pengujian, sistem dapat membantu sistem administrator untuk membangun model atau pola secara otomatis dengan tingkat akurasi dan deteksi serangan yang tinggi serta tingkat false positive yang rendah. Sistem juga dapat berjalan pada lingkungan real-time. Kata kunci— deteksi intrusi, klasifikasi, preprocessing, support vector machine AbstractIntrusion detection system is a system for detecting attacks or intrusions in a network or computer system, generally intrusion detection is done with comparing network traffic pattern with known attack pattern or with finding unnormal pattern of network traffic. The raise of internet activity has increase the number of packet data that must be analyzed for build the attack or normal pattern, this situation led to the possibility that the system can not detect the intrusion with a new technique, so it needs a system that can automaticaly build a pattern or model.This research have a goal to build an intrusion detection system with ability to create a model automaticaly and can detect the intrusion in real-time environment with using support vector machine method as a one of data mining method for classifying network traffic audit data in 3 classes, namely: normal, probe, and DoS. Audit data was established from preprocessing of network packet capture files that obtained from Tshark. Based on the test result, the system can help system administrator to build a model or pattern automaticaly with high accuracy, high attack detection rate, and low false positive rate. The system also can run in real-time environment. Keywords— intrusion detection, classification, preprocessing, support vector machine
Penerapan Algoritma Invasive Weed Optimnization untuk Penentuan Titik Pusat Klaster pada K-Means
Authors: Pratama I Putu Adi , Harjoko Agus 
Published: January 2017

AbstrakK-means merupakan salah satu algoritmaclustering yang paling populer. Salah satu alasan dari kepopuleran K-means adalah karena mudah dan sederhana ketika diimplementasikan. Namun hasil klaster dari K-means sangat sensitif terhadap pemilihan titik pusat awalnya. K-means seringkali terjebak pada solusi lokal optima. Hasil klaster yang lebih baik seringkali baru bisa didapatkan setelah dilakukan beberapa kali percobaan. Penyebab lain seringnya K-means terjebak pada solusi lokal optima adalah karena cara penentuan titik pusat baru untuk setiap iterasi dalam K-means dilakukan dengan menggunakan nilai mean dari data-data yang ada pada klaster bersangkutan. Hal tersebut menyebabkan K-means hanya akan melakukan pencarian calon titik pusat baru disekitar titik pusat awal. Untuk mengatasi permasalahan tersebut, penerapan metode yang memiliki kemampuan untuk melakukan pencarian global akan mampu membantu K-means untuk dapat menemukan titik pusat klaster yang lebih baik. Invasive Weed Optimization merupakan algoritma pencarian global yang terinspirasi oleh proses kolonisasi rumput liar. Pada penelitian ini diusulkan sebuah metode yang merupakan hasil hibridasi dari metode K-means dan algoritma Invasive Weed Optimization (IWOKM). Kinerja dari metode IWOKM telah dicobakan pada data bunga Iris kemudian hasilnya dibandingkan dengan K-means. Dari pengujian yang dilakukan, didapat hasil bahwa metode IWOKM mampu menghasilkan hasil klaster yang lebih baik dari K-means. Kata kunci—K-means, IWO, IWOKM, analisa klaster AbstractK-means is one of the most popular clustering algorithm. One reason for the popularity of K-means is it is easy and simple when implemented. However, the results of K-means is very sensitive to the selection of initial centroid. The results are often better after several experiment. Another reason why K-means stuck in local optima is due to the method of determining the new center point for each iteration that is performed using the mean value of the data that exist on the cluster. This causes the algorithm will do search for the centroid candidates around the center point. To overcome this, implement a method that is able to do a global search to determine the center point on K-means may be able to assist K-means in finding better cluster center. Invasive Weed Optimization (IWO) is a global search algorithm inspired by weed colonization process. In this study proposed a method which is the result of hybridization of K-means and IWO (IWOKM). Performance of the method has been tested on flower Iris dataset. The results are then compared with the result from K-means. The result show that IWOKM able to produce better cluster center than K-means. Keywords—K-means, IWO, IWOKM, cluster analysis
Analisis Kinerja Voip Server pada Wireless Access Point
Authors: Najwaini Effan , Ashari Ahmad 
Published: January 2017

AbstrakPada komunikasi VoIP (Voice Over IP) kualitas suara dipengaruhi oleh banyak faktor salah satunya yaitu kualitas server. Pemilihan platform PC atau server yang cocok (baik dari segi harga maupun kinerja) merupakan persoalan utama dalam membangun jaringan VoIP. Kinerja server yang jelek akan menurunkan kualitas suara atau bahkan tidak mampu untuk menghubungkan antar pengguna.Dalam penelitian ini dilakukan pengujian terhadap kinerja wireless access point Linksys WRT54GL yang dimanfaatkan sebagai VoIP server. Pengujian dilakukan untuk mengetahui berapa banyak panggilan VoIP yang mampu dilayani oleh wireless access point sebagai VoIP server serta berapa waktu yang diperlukan oleh server tersebut untuk dapat memproses setiap sinyal SIP maupun paket RTP. Berdasarkan hasil pengujian yang dilakukan, VoIP server pada wireless access point mampu melayani komunikasi VoIP dengan baik untuk jumlah panggilan yang sedikit sehingga layak diimplementasikan pada penggunaan skala kecil. Penggunaan metode Native Bridging dalam penanganan media yang dilakukan oleh server dapat meningkatkan jumlah panggilan yang mampu dilayani sebesar 3 hingga 7 kali dibandingkan dengan metode lainnya. Kata kunci—VoIP, Asterisk, Acess Point, WRT54GL, OpenWRT, Kinerja AbstractVoice quality on VoIP communication is caused by many factors, one of which is the quality of the server. Choosing PC platform or server which is suitable is the main issue in developing VoIP network. A bad server performance or not equivalent with the most of users will degrade the sound quality or even not able to connect between users.Tthe test carried out to the performance of the wireless access point Linksys WRT54GL which is used as a VoIP server. The test was carried out to determine how many VoIP calls which are able to be serviced by a wireless access point as a VoIP server and how long the server needs to be able to process every signal of SIP and RTP packet.Based on the test result performed, the VoIP server on the wireless access point is able to serve VoIP communication well for a few calls number, so it is worth to be implemented on the use of small scale. The use of Native Bridging method in handling the media performed by the server can increase the number of calls that were able to be served about 3 to 7 times compared with other methods. Keywords— VoIP, Asterisk, Acess Point, WRT54GL, OpenWRT, Performance
Sistem Simulasi Evakuasi Kebakaran Berbasis Multi Agen
Authors: Rolansa Freska , S.N. Azhari 
Published: January 2017

AbstrakGedung merupakan salah satu tempat dilaksanakannya berbagai aktivitas dari sejumlah manusia pada waktu tertentu. Pada saat kebakaran gedung terjadi, semua orang yang berada didalam gedung harus melakukan proses evakuasi agar terhindar dari bahaya api. Permodelan dengan agen merupakan salah satu cara menggambarkan kondisi kebakaran di kehidupan nyata, untuk mengurangi biaya dan bahaya yang ditimbulkan pada saat terjadi kebakaran digedung.Permodelan ini menggunakan pendekatan Multi agen, yang terdiri dari agen karyawan, agen api dan agen pintu exit yang saling berinteraksi dan berkomunikasi. Setiap karakteristik dan perilaku dari agen disimulasikan dengan menggunakan NetLogo pada saat terjadi kebakaran digedung dengan menggunakan skenario perluasan api, skenario penyelamatan, dan proses evaluasi fasilitas pendukung evakuasi.Pengujian dilakukan terhadap kondisi existing gedung dan perubahan rancangan fasilitas pendukung evakuasi seperti scenario penempatan pintu dan scenario penambahan lebar pintu. Setiap satu pengujian skenario dilakukan sebanyak 5 kali percobaan dengan parameter yang sama dan hasilnya akan dicari nilai rata-rata jumlah manusia yang selamat dan jumlah korban yang terkena api sebagai hasil evaluasi fasilitas pendukung evakuasi, selain itu juga dilakukan pengujian terhadap skenario perluasan api dan skenario penyelamatan untuk melihat karakteristik dan perilaku yang dimiliki agen api dan agen karyawan dalam memberikan aksi terhadap proses evakuasi. Kata kunci : Evakuasi, kebakaran, agen, NetLogo, skenario, evaluasi. AbstractThe building is one of place that people do various activities at a certain time. At the time of building fire occurs, all of the people must make the evacuation process in order to avoid the danger of fire. Modeling with Agent is one way to describe the condition of fire in real life, to reduce costs and the danger posed in the event of a fire halls. This model uses Multi-agent approach, which consists of the employeeagent, fire agent and exit dooragent which interact and communicate. Each of the characteristics and behavior of the agent is simulated using the NetLogo in the event of fire halls using the expansion fire scenario, rescue scenario, and evacuation support facilities to evaluation process. Tests carried out on the existing condition of the building and changes the support facilities such as the placement of doors and the addition of the door width scenario. Each of the test scenario performed 5 times with the same parameters and the results will be sought value average number of human survivors and the number of victims affected by the fires as a result of the evaluation of evacuation support facility, while also testing the expansion fire and rescue scenario for look at the characteristics and behavior of fire agent and employee agent in evacuation process. Keywords: Evacuation, Fire, Agent, NetLogo, scenario, evaluation.
Pengembangan Model CYBER CLUSTER E-COMMERCE Berbasis CMS dan SEO Produk UMKM
Authors: Diartono Dwi Agus , Suhari Yohanes , Supriyanto Aji 
Published: January 2017

AbstrakPermasalahan yang sering dihadapi oleh UMKM adalah terbatasnya jumlah dan jangkauan pemasaran dan penjualan produknya. Begitu juga persaingan produk sejenis dapat terjadi oleh antar produk lokal atau produk yang datang dari luar. Hal ini disebabkan karena pemasaran dan penjualan masih dilakukan secara konvensional dan dilakukan secara individual. Penelitian ini bermaksud melakukan implementasi model sistem E-Commerce produk UMKM di suatu daerah atau Kabupaten dengan model pemberdayaan partisipasi kelompok siber (cyber cluster partisipatif) dalam melakukan linking web yang dikembangkan menggunakan sistem Search Engine Optimisazion (SEO) dan Content Management System (CMS). Tujuannya adalah agar web yang dikembangkan dapat dengan mudah menempati ranking teratas pada halaman pencari web (search engine) dan selalu terupdate isi dan rankingnya. Manfaat dari penelitian ini adalah meningkatkan pemasaran dan penjualan produk UMKM hingga pasar global dan menjadikan alamat web tersebut mudah dicari dan dan ditemukan karena sering muncul pada posisi puncak pencarian di mesin pencari seperti google. Luaran penelitian ini adalah website produk UMKM berbasis CMS dan teroptimisasi dengan model link internal dan eksternal sehingga selalu muncul pada posisi top range pencarian. Metode penelitian ini menggunakan action research, dengan model pengembangan sistem terstruktur model air terjun (waterfall). Aplikasi webnya sendiri dikembangkan dengan model prototype, sesuai dengan kebutuhan penggunannya. Kata kunci—Cyber-Cluster, SEO, CMS, UMKM AbstractProblems that are often faced by UMKM (SME) is the limited number and range of marketing and sales of its products. So is the competition of similar products can occur by inter-local products or products that come from outside. This is because marketing and sales are still done conventionally and done individually. This study intends to make the implementation of a model system of E-Commerce SME product in an area or district with the participation of empowerment models cyber group (cluster cyber participatory) in performing web linking system that was developed using Optimisazion Search Engine (SEO) and Content Management System (CMS). The goal is for the web that can be developed easily ranked the Web search page (search engines) and always updated content and rank. The benefit of this research is to improve the marketing and sale of products of SMEs to global market and making it easy to find the web address and and are found as often appear in top positions in the search engines like google. Outcomes of this research is based CMS website MSME products and optimized the model of internal and external links that always appears at the top position of the search range. Methods This study uses an action research, the model of structured systems development waterfall model (waterfall). Its own web application developed with prototype models, according to consumer needs. Keywords—Cyber-Cluster, SEO, CMS, SME