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PENGARUH BIG DATA TERHADAP KEEFEKTIFAN MICROSOFT TEAMS SEBAGAI SARANA PEMBELAJARAN Wulandari, Aisyah Ayu; Asih, Aura Sri; Pratama, Haikal Dito; Azzahra, Lesqia; Winaya, Ridha Ratu
Jurnal Pengabdian Pendidikan dan Teknologi (JP2T) Vol 4, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um080v4i22023p69-74

Abstract

Salah satu sarana yang semakin populer digunakan dalam pembelajaran jarak jauh adalahMicrosoft Teams (MS Teams), platform kolaborasi digital yang menyediakan berbagai fitur untukinteraksi dan pembelajaran online. Oleh karena itu, dengan perkembangan teknologi informasiyang pesat, big data telah menjadi elemen kunci dalam meningkatkan efektivitas berbagai aspekkehidupan, termasuk pembelajaran jarak jauh. Artikel ini bertujuan untuk menginvestigasi pengaruh big data terhadap keefektifan Microsoft Teams sebagai sarana pembelajaran jarak jauh. Penelitian ini menggunakan pendekatan kualitatif dengan menggunakan teknik studi pustaka untuk mengidentifikasi referensi yang relevan terkait dengan subjek penelitian. Hasil penelitian ini menunjukkan bahwa penggunaan big data dalam Microsoft Teams dapat meningkatkan keefektifan pembelajaran jarak jauh secara signifikan.
SISTEM PENERIMAAN CALON MAHASISWA BARU DENGAN MENGGUNAKAN APLIKASI LOGIKA FUZZY PADA MATLAB TOOLBOX Wulandari, Aisyah Ayu; Yusuf, Miftakhudin; Utami, Vi Bauty Riska; Permana, Yoga Adi
Majalah Ilmiah UNIKOM Vol. 18 No. 1 (2020): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v18i1.3826

Abstract

In this era, education is a crucial thing, one of which is a tertiary institution. At a tertiary institution to be able to enter one of the tertiary institutions, there is a process in it that contains a series of activities ranging from registration, selection based on standards made and acceptance. In this process, to facilitate a process in determining the prospective new students by the needs requires a long process and consideration for that, we need a system to facilitate the selection process. Fuzzy logic is a methodology of problem-solving control systems that can be implemented on a system. The application of the new student admission system modeling using independent lane logic applications. This modeling is used as a system to solve or simplify a problem. In making a system modeling, a method like the Mamdani method is needed. Mamdani method is often known as the max-min method. In the Mamdani method, there are several stages, namely determining the fuzzy set, the implication function implications, the composition of the rules, and defuzzication. In this modeling using a fuzzy set of Scholastic Potential Test (TPS) and Academic Competency Test (TKA) variables. The magnitude of the value of the two variables is very influential on the output results that determine whether the prospective new student is accepted, considered, or rejected. From the modeling of this system, it can be concluded that by making modeling of this system can simplify and shorten the selection process of new students just by filling in the input values ​​in the modeling of the system and will get definite results. Key Words : Fuzzy, Student, Mamdani