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Analisis Data Twitter: Ekstraksi dan Analisis Data G eospasial Negara, Edi Surya; Andryani, Ria; Saksono, Prihambodo Hendro
INKOM Journal Vol 10, No 1 (2016)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (601.355 KB) | DOI: 10.14203/j.inkom.433

Abstract

Data geospasial pada media sosial Twitter dapat dimanfaatkan untuk mengetahui informasi spasial (lokasi) yang merupakan lokasi sumber munculnya persepsi publik terhadap sebuah isu di media sosial. Besarnya produksi data geospasial yang dihasilkan oleh Twitter memberikan peluang besar untuk dapat dimanfaatkan oleh berbagai pihak sehingga menghasilkan informasi yang lebih bernilai melalui proses Twitter Data Analytics. Proses pemanfaatan data geospasial Twitter dimulai dengan melakukan proses ekstraksi terhadap informasi spatial berupa titik koordinat pengguna Twitter. Titik koordinat pengguna Twitter didapatkan dari sharing location yang dilakukan oleh pengguna Twitter. Untuk mengekstrak dan menganalisis data geospasial pada Twitter dibutuhkan pengetahuan dan kerangka kerja tentang social media analytics (SMA). Pada penelitian ini dilakukan ekstraksi dan analisis data geospasial Twitter terhadap suatu isu publik yang sedang berkembang dan mengembangakan prototipe perangkat lunak yang digunakan untuk mendapatkan data geospasial yang ada pada Twitter. Proses ekstraksi dan analisis dilakukan melalui empat tahapan yaitu: proses penarikan data (crawling), penyimpanan (storing), analisis (analyzing), dan visualisasi (vizualizing). Penelitian ini bersifat exploratory yang terfokus pada pengembangan teknik ekstrasi dan analisis terhadap data geospasial twitter
KAJIAN TERHADAP TOOLS DAN FRAMEWORK SOCIAL MEDIA ANALYTICS UNTUK PEMANFAATAN DATA SOCIAL MEDIA DALAM PENELITIAN ILMU SOSIAL Negara, Edy Surya
Jurnal Teknologi Technoscientia Vol 9, No 2 (2017): Vol 9 No 2 Februari 2017
Publisher : IST AKPRIND YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing of using social media in Indonesia has the impact to the available of data about society perception toward many issues of life, even though it comes as member/personality of live and citizen in the society. These phenomena have given an opportunity for stakeholders, such as government and private that need information about the society perception or social attitudes in their social life to improve quality and quantity of information through the using of the social media. The well understanding about technology of internet, social media, databases, data structure, theories of information, data mining, machine learning, and the technique for visualization data and information are needed to get and analyze the data to determine certain information which will be used by the users (stakeholders of the information). The target of this research is to master technology of social media analytic and develop prototype of software that will be used as tools of collecting data in social media, therefore, the users of the data can focus to get comprehension/understanding about social phenomena and take decision without looking for techniques for collecting and data analysis issues. This research is designed into explanatory with focus to the understanding technology through basis of social media, moreover, it is used to review advantages and disadvantages of techniques currently used in social media and media analytic researches. The result of this research is the tools and framework that benefit for media social analysis.
IMPLEMENTASI MANAGEMENT NETWORK SECURITY PADA LABORATORIUM CISCO UNIVERSITAS BINA DARMA Negara , Edi Surya
JURNAL ILMIAH MATRIK MATRIK Vol.16 No.1 April 2014
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.527 KB)

Abstract

The development of computer network technology as a medium for data communications to this increase. The need for the use of shared resources on the network both software and hardware has resulted in the emergence of a variety of network technology development itself. Along with the high level of need and the increasing number of network users who want some form of network that can deliver maximum results, in terms of both efficiency and increase network security itself, the improvement efforts continue to be made by the various parties. One measure of the quality of the computer network management and network security is good. By it because they needed a real action to create a system management and network security is good. So with the management and security of the network that will either guide to good computer network.
ANALISIS LAYANAN TI PADA DOMAIN SERVICE OPERATION DENGAN MENGGUNAKAN FRAMEWORK ITIL V3 Winata Nugraha; Edi Surya Negara
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 6 No 2 (2021): JUSIM (Jurnal Sistem Informasi Musirawas) DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.037 KB) | DOI: 10.32767/jusim.v6i2.1476

Abstract

Operasional bisnis PT. PLN (Persero) ULP sudah memanfaatkan TI dalam meberikan pelayanannya yang berupa sistem informasi berbasis website, layanan yang diberikannya seperti pelayanan online pemasangan listrik baru, penambahan daya listrik dan penyambungan sementara. Namun dalam penerapan operasional layanan TI yang berjalan belum sepenuhnya mengarah pada satu pengelolaan yang mengacu pada pedoman manajemen TI. Untuk memaksimalkan kinerja layanan TI, implementasi dari manajemen insiden dan masalah dengan kerangka kerja Information Technology Infrastructure Library (ITIL) merupakan salah satu solusi yang dibutuhkan untuk meningkatkan kualitas layanan TI di PT. PLN (Persero) ULP Lubuklinggau. Domian pada framerwork ITIL V3 yang digunakan dalam penelitian ini adalah domain service operation. Hasil yang didapatkan menunjukkan bahwa tingkat kematangan dari proses event management, incident management, dan problem management berada pada level 3 atau Defined serta request fulfillment berada pada level 2 atau Repeatable. Dengan nilai 3,06 untuk event management, nilai 3,12 untuk incident management, nilai 2,54 untuk request fulfillment, nilai 3,24 untuk problem management.
KAJIAN TERHADAP TOOLS DAN FRAMEWORK SOCIAL MEDIA ANALYTICS UNTUK PEMANFAATAN DATA SOCIAL MEDIA DALAM PENELITIAN ILMU SOSIAL Edi Surya Negara
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 9 No 2 Februari 2017
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.142 KB) | DOI: 10.34151/technoscientia.v9i2.133

Abstract

The increasing of using social media in Indonesia has the impact to the available of data about society perception toward many issues of life, even though it comes as member/personality of live and citizen in the society. These phenomena have given an opportunity for stakeholders, such as government and private that need information about the society perception or social attitudes in their social life to improve quality and quantity of information through the using of the social media. The well understanding about technology of internet, social media, databases, data structure, theories of information, data mining, machine learning, and the technique for visualization data and information are needed to get and analyze the data to determine certain information which will be used by the users (stakeholders of the information). The target of this research is to master technology of social media analytic and develop prototype of software that will be used as tools of collecting data in social media, therefore, the users of the data can focus to get comprehension/understanding about social phenomena and take decision without looking for techniques for collecting and data analysis issues. This research is designed into explanatory with focus to the understanding technology through basis of social media, moreover, it is used to review advantages and disadvantages of techniques currently used in social media and media analytic researches. The result of this research is the tools and framework that benefit for media social analysis.
Analysis and Implementation Machine Learning for YouTube Data Classification by Comparing the Performance of Classification Algorithms Amanda, Riyan; Negara, Edi Surya
JOIN (Jurnal Online Informatika) Vol 5, No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.505

Abstract

Every day, people around the world upload 1.2 million videos to YouTube or more than 100 hours per minute, and this number is increasing. The condition of this continuous data will be useless if not utilized again. To dig up information on large-scale data, a technique called data mining can be a solution. One of the techniques in data mining is classification. For most YouTube users, when searching for video titles do not match the desired video category. Therefore, this research was conducted to classify YouTube data based on its search text. This article focuses on comparing three algorithms for the classification of YouTube data into the Kesenian and Sains category. Data collection in this study uses scraping techniques taken from the YouTube website in the form of links, titles, descriptions, and searches. The method used in this research is an experimental method by conducting data collection, data processing, proposed models, testing, and evaluating models. The models applied are Random Forest, SVM, Naive Bayes. The results showed that the accuracy rate of the random forest model was better by 0.004%, with the label encoder not being applied to the target class, and the label encoder had no effect on the accuracy of the classification models. The most appropriate model for YouTube data classification from data taken in this study is Naïve Bayes, with an accuracy rate of 88% and an average precision of 90%.
Analysis and Implementation Machine Learning for YouTube Data Classification by Comparing the Performance of Classification Algorithms Amanda, Riyan; Negara, Edi Surya
JOIN (Jurnal Online Informatika) Vol 5, No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.505

Abstract

Every day, people around the world upload 1.2 million videos to YouTube or more than 100 hours per minute, and this number is increasing. The condition of this continuous data will be useless if not utilized again. To dig up information on large-scale data, a technique called data mining can be a solution. One of the techniques in data mining is classification. For most YouTube users, when searching for video titles do not match the desired video category. Therefore, this research was conducted to classify YouTube data based on its search text. This article focuses on comparing three algorithms for the classification of YouTube data into the Kesenian and Sains category. Data collection in this study uses scraping techniques taken from the YouTube website in the form of links, titles, descriptions, and searches. The method used in this research is an experimental method by conducting data collection, data processing, proposed models, testing, and evaluating models. The models applied are Random Forest, SVM, Naive Bayes. The results showed that the accuracy rate of the random forest model was better by 0.004%, with the label encoder not being applied to the target class, and the label encoder had no effect on the accuracy of the classification models. The most appropriate model for YouTube data classification from data taken in this study is Naïve Bayes, with an accuracy rate of 88% and an average precision of 90%.
ANALISIS DAN PERANCANGAN ARSITEKTUR TEKNOLOGI INFORMASI BERBASIS CLOUD COMPUTING UNTUK INSTITUSI PERGURUAN TINGGI DI SUMATERA SELATAN Edi Surya Negara
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 8 No 2 Februari 2016
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v8i2.163

Abstract

Information technology architecture based cloud computing become one of the architectural model of the development of information technology for the college. Based on data from the Department of Education of South Sumatra, is currently in South Sumatra there are 100 public and private universities. Analysis and design of information technology architecture based cloud computing will be applicable to all universities in South Sumatra, to standardize the development of information technology at each university. So with the standardized architecture teknlogi this information will have a significant impact in improving the quality of higher education in South Sumatra Indonesian people to realize intelligent and competitive. Analysis and design will use the TOGAF Architecture Development Method methods adapted to the concept of cloud computing. The first stage of the analysis process is done by gathering data from each university in South Sumatra with a survey and observation. This study tour resulting in the architecture of cloud based applications and information technology architecture based on cloud computing that can be implemented in higher education institutions in South Sumatera
ANALISIS KINERJA REDISTRIBUSI ROUTING PROTOKOL DINAMIK (Studi Kasus : RIP, EIGRP, IS-IS) Chairul Mukmin; Edi Surya Negara
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 6, No 3 (2019)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v6i3.262

Abstract

Each routing protocol has different algorithms and metrics in determining the best path on a network. Differences 1) Applications that only run on routing protocols 2) hardware from various vendors 3) Networks with different routing areas or domains. Some aspects that become a reference for some routing protocols that are issued from data sent and lost in the process of sending data (packet loss), speed in sending data (delay), as well as the ability of some routing protocols in choosing the closest distance when sending data transmission packets. Routing protocol characteristics. This study studies analyzing routing redistribution in dynamic routing protocols, in order to find out which routing protocols perform better in networks that are different from autonomous systems (AS) with measurement parameters of Throughput, Delay and Packet Loss.Keywords :  EIGRP, IS-IS, Redistribution Routing, RIP, Routing ProtocolSetiap protokol routing memiliki algoritma dan metrik yang berbeda-beda dalam menentukan jalur terbaik pada sebuah jaringan. Perbedaan karakteristik tersebut menimbulkan beberapa masalah 1)aplikasi yang hanya  berjalan pada protokol routing tertentu 2)hardware dari berbagai vendor 3)Jaringan dengan area atau domain routing berbeda. Beberapa aspek yang menjadi acuan suatu protokol routing diantaranya dari segi data yang terkirim dan hilang dalam proses pengiriman data (packet loss), kecepatan dalam pengiriman data (delay), juga kemampuan suatu protokol routing dalam memilih jarak terdekat bahkan jalur terbaik dalam pengiriman paket data. Perbedaan karakteristik protokol routing tersebut tersebut dapat diselesaikan dengan cara menggunakan redistribusi routing. Penelitian ini bertujuan menganalisis perbandingan redistribusi routing pada protokol routing dinamik, guna mencari tahu protokol routing mana yang lebih baik kinerjanya dalam jaringan yang berbeda autonomous system (AS) dengan parameter pengukuran Throughput, Delay dan Packet Loss.Kata Kunci : EIGRP, IS-IS, Redistribusi Routing, RIP, Protokol Routing
KAJIAN TERHADAP TOOLS DAN FRAMEWORK SOCIAL MEDIA ANALYTICS UNTUK PEMANFAATAN DATA SOCIAL MEDIA DALAM PENELITIAN ILMU SOSIAL Edi Surya Negara
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 9 No 2 Februari 2017
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v9i2.133

Abstract

The increasing of using social media in Indonesia has the impact to the available of data about society perception toward many issues of life, even though it comes as member/personality of live and citizen in the society. These phenomena have given an opportunity for stakeholders, such as government and private that need information about the society perception or social attitudes in their social life to improve quality and quantity of information through the using of the social media. The well understanding about technology of internet, social media, databases, data structure, theories of information, data mining, machine learning, and the technique for visualization data and information are needed to get and analyze the data to determine certain information which will be used by the users (stakeholders of the information). The target of this research is to master technology of social media analytic and develop prototype of software that will be used as tools of collecting data in social media, therefore, the users of the data can focus to get comprehension/understanding about social phenomena and take decision without looking for techniques for collecting and data analysis issues. This research is designed into explanatory with focus to the understanding technology through basis of social media, moreover, it is used to review advantages and disadvantages of techniques currently used in social media and media analytic researches. The result of this research is the tools and framework that benefit for media social analysis.