Surabaya (UINSA) telah ditemukan permasalahan bahwa belum ada yang melakukan clustering pada topik skripsi mahasiswa. Clustering tersebut digunakan dalam topic modelling untuk melihat tren dan kesuaian minat pada Program Studi Sastra Inggris UINSA. Metode Latent Dirichlet Allocation (LDA) merupakan salah satu metode topic modelling yang paling populer saat ini. Dalam penelitian ini mengambil sejumlah 584 abstact skirpsi dalam bahasa inggris sebagai dataset. Penggunaan dataset berbahasa inggris dikarenakan pada preprocessing data yang tersedia standartnya baru untuk bahasa inggris. Setelah melewati proses tersebut, setiap kata yang muncul akan dihitung menggunakan metode Bag of Word. Metode LDA mengklusterkan dengan menglihat jumlah kemunculan kata pada Bag of Word, kemudian menentukan jumlah cluster atau jumlah topik dan menentukan jumlah iterasi. LDA menandai setiap kata pada topik secara semi random distribution kemudian menghitung probabilitas topik pada dokumen dan menghitung probabilitas kata pada topik setiap iterasinya. Penelitian ini melakukan percobaan pemodelan topik sebanyak 5 kali uji iterasi dan jumlah topik yang berbeda. Berdasarkan percobaan tersebut telah didapatkan hasil kemudian dianalisis bahwa 3 adalah jumlah topik yang paling fit. Hasil tersebut diujikan secara kualitatif kepada pihak stakeholder Program Studi Sastra Inggris UINSA, dan dinyatakan sesuai dengan tren serta minat pada Program Studi Sastra Inggris UINSA.
SPBE (Electronic Based Government System) is a legal protection as new breakthroughs in the reform of Indonesian government bureaucracy. The issuance of Presidential Regulation (Perpres) 95/2018 concerning SPBE is expected to be a reference for the transformation from e-Government into i-Government (integrated Government). In the meantime, the government through the Ministry of Administrative and Bureaucratic Reform (PANRB) is drafting an academic paper on the SPBE Bill. Of the 10 elements contained in Presidential Regulation (Perpres) 95/2018, the second element namely SPBE architecture is a concept known in the world of Information Systems as Enterprise Architecture.Enterprise architecture is a conceptual framework that describes how an enterprise is constructed by defining its primary components and the relationships among these components. In SPBE, the main component is defined as domain, consisting of 6 parts, namely: business process architecture domain, data and information, infrastructure, SPBE applications, security, and SPBE services. Unfortunately, the Presidential Regulation (Perpres) 95/2018 has not regulated the concept of Digital Enterprise Architecture, since between Enterprise Architecture (EA) and Digital Enterprise Architecture (DEA) are two things that are significantly different. If EA merely focuses on structuring the company based on the main frame of reference, then DEA focuses on utilizing digital repositories to create living documents as according to the EA framework so that they are easily accessed, modified and managed at any time following the company's development. This study created a DEA model for SPBE in Indonesia. The model created is adapted to the SPBE architecture by carrying out the concept of a digital repository. With digital repositories, time efficiency, paper savings and change management will be easier to achieve. The model created in this study is expected to be utilized to make SPBE much more efficient and green-minded.
Environmental Sustainability becomes a major issue around the world. Energy consumption and air pollution are some important issues that have been discussed among scholars and practitioners. The purpose of this paper is to examine how digital workplace implementation could contribute to empower environmental sustainability, why this is important and how this can be achieved. We collected the data from UIN Sunan Ampel Surabaya and do the simulation if their employees implement the digital workplace for three cases, 50% of the farthest employees, 50% of the nearest employees, and 50% on random. The efficiency of fuel used obtain was 44.39%, 5,61%, and 22.2% respectively. From the simulation, it can be concluded that the application of the digital workplace can be an alternative in the framework of global environmental sustainability.
<p>Di<em> Indonesia twitter menjadi salah satu situs microblogging yang sangat digemari oleh masyarakat. Masyarakat sudah terbiasa dalam menyampaikan pendapat atau opininya dalam media sosial termasuk dalam twitter, hal ini digunakan dalam menanggapi suatu kejadian atau peristiwa yang terjadi di lingkungan mereka. Pada penelitian ini dilakakan berbagai proses yaitu crawling data dari twitter, pre prosesing data teks, Naïve Bayes Classifier untuk probabilitas teks terhadap sentimen, dan Simple Wighted Product Model untuk perangkingan sentimen. Dari hasil percobaan tersebut dapat diperoleh hasil akurasi terbaik yaitu menggunakan proporsi ketiga dengan pengambilan data secara acak dengan mendapatkan nilai rata rata akurasi sebesar 99,75%. Sedangkan untuk perangkingan sentimen terhadap masing masing tokoh publik dapat di ketahui yang memperoleh peringkat pertama yaitu KH Ma’ruf Amin , yang kedua yaitu Sandiaga Salahudin Uno, yang ketiga yaitu Joko Widodo, dan yang terakhir yaitu Prabowo Subianto</em></p>
The use of Information Technology (IT) frameworks from year to year in Indonesia has shown an increase. However, there is not much research on the use of IT frameworks. The research on IT frameworks can be used by a company to analyze trends in the use of frameworks in Indonesia. That way, it can help a company consider choosing a framework to use. The IT frameworks discussed in this study are COBIT, ITIL, and ISO 27001. Data related to research IT frameworks taken in the 2014-2018 period. Data collection through the Google Scholar web search engine using the Publish or Perish software. The data obtained were analyzed using descriptive quantitative methods. The results of this study can use to determine the use of the IT framework in Indonesia. The amount of raw data obtained from the data collection process was 5,708 data with Authors, Title, Years, and Publisher variables. Research data on titles and keywords obtained in the Indonesian domain amounted to 754 and overseas amounted to 194. From the research results, it can conclude that the most widely used framework is the COBIT framework, with a percentage of 69.3% in the Indonesian and 58.7% in the foreign domain.
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