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Journal : Nuansa Informatika

ANALISIS TINGKAT KESIAPAN PENGGUNA E-LEARNING UNIVERSITAS KUNINGAN DENGAN MENGGUNAKAN MODEL TECHONOLOGY READINESS INDEX (TRI) Yusuf, Fahmi; Syamfithriani, Tri Septiar; Mirantika, Nita
NUANSA INFORMATIKA Vol 14, No 2 (2020)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (123.252 KB) | DOI: 10.25134/nuansa.v14i2.2991

Abstract

Readiness in adopting new technology, especially in Online Learning in a certain University, is determined by user’s readiness i.e. the User in Online Learning.  In Kuningan University, we have concern in e-class: Online learning System, which is categorized as a new technology. The research is to analyze the user’s readiness and to measure the success of the e learning applied in our University. The method that we use in this research to measure user’s readiness level is the Technology Readiness Index (TRI). TRI is an index to measure the User’s readiness in using new technology to achieve the daily learning. The measurement is done by using four variables ; optimism, innovativeness, discomfort and insecurity. We use SPSS 21 application to analyze our data. The Research data is collected by giving Questioners to 371 respondents in Kuningan University (UNIKU). After we had calculated the data, we got the result that the TRI total value was 2.81 (categorized as Low Technology Readiness Index) and the user group was categorized as Skeptics Group (the optimism, innovativeness, discomfort and insecurity were low. These made the students of Kuningan University had uncertain feeling towards the e-class.Key words: Technology readiness index, e-learning, LMS
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN E-LEARNING TERHADAP MOTIVASI DAN PRESTASI BELAJAR MAHASISWA ( Studi Eksperimen pada Mata Kuliah Komputasi Paralel Mahasiswa Angkatan III Program Studi Teknik Informatika di FKOM UNIKU ) Nita Mirantika
NUANSA INFORMATIKA Vol 8, No 1 (2013)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/nuansa.v8i1.15

Abstract

The presence of parallel computing courses in Informatics Engineering program is very relevant, applicable and can provide great inspiration for learners. But in reality, this parallel computing courses many students complain because the perceived difficult to learn. Course materials are always on the up grade in accordance with the technological developments that are in. Conventional teaching methods are still the favorite method is given, can not be a good solution to the above problems. because conventional study focused only on the educators in this faculty, so that students are passive, not pushing for creative thinking. Therefore we need another method, which can provide insight and inspiration to the students so that learning can take place effectively and in accordance with technological developments. One of these alternatives is the use of e-learning media.To assess the use of e-learning media are expected to be an alternative solution to the above problems, the authors conducted a study on Information Technology Student III level UNIKU who took a course parallel computing using three classes. The method used is the experimental method. With a variety of considerations, which became the experimental class is TI A class and TI C while the control class is TI B class. Data research conducted through written tests and questionnaires. Data were analyzed using a computerized program SPSS version 16 at the level of 95%. The results showed that the use of e-learning media can increase student motivation and achievement compared to conventional learning.  Keywords: E-learning, Learning Media, Experimental Study, learning motivation, learning achievement.   
Penerapan Algoritma K-Means Clustering Untuk Pengelompokan Penyebaran Covid-19 di Provinsi Jawa Barat Mirantika, Nita; ain, Annisa Tsamratul; Agnia, Futry Diviana
NUANSA INFORMATIKA Vol. 15 No. 2 (2021)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.635 KB) | DOI: 10.25134/nuansa.v15i2.4321

Abstract

Covid-19 is a new category of disease that has spread all over the world, including in Indonesia. Covid-19 is caused by a virus that causes disturbances in the respiratory system, from mild symptoms such as flu, to lung infections, such as pneumonia. The spread of covid-19 is so fast and massive, in Indonesia the total spread of covid-19 has reached 1,066,313 people and West Java province occupies the second highest position for the spread of covid-19. Therefore, it is necessary to group cities/districts in the province of West Java to create a strategy for handling the spread of COVID-19. The clustering of the spread of COVID-19 is carried out using the K-Means clustering algorithm which groups data into several clusters based on the similarity of the data and is implemented in R language application tools and by using the CRISP-DM method so that each phase in data mining is more structured and clearly defined. Based on the results of the study, there were 3 clusters, namely cluster 1 as the cluster with the highest number of Covid-19 spreads, obtained by 2 districts/cities. For cluster 2 as a cluster with a medium number of Covid-19 spreads, 5 districts/cities are obtained. And the remaining 20 districts/cities are included in cluster 3 with a smaller number of Covid-19 spreads. The results of this study are expected to support the West Java provincial government to make strategic decisions in each cluster to reduce the spread of COVID-19 in West Java.
Analisis Penerimaan Teknologi M-Commerce Menggunakan Metode Technology Acceptance Model (TAM) Pada Penjualan Retail di Kabupaten Kuningan Mirantika, Nita; Yusuf, Fahmi; Syamfithriani, Tri Septiar
NUANSA INFORMATIKA Vol. 16 No. 1 (2022)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.376 KB) | DOI: 10.25134/nuansa.v16i1.5236

Abstract

Teknologi m-commerce merupakan salah satu solusi bagi pelaku usaha dalam peningkatan strategi pemasaran di era digital.  Penggunaa teknologi m-commerce mengalami peningkatan, sebanyak 88,1% pengguna internet di Indonesia memakai layanan e-commerce pada hasil survei We Are Sosial 2021. Namun, di Kabupaten Kuningan Provinsi Jawa Barat, pengguna e-commerce masih relatif sedikit, yaitu sebesar 4,63% dari total penduduk. Oleh karena itu perlu dilakukan penelitian untuk mengetahui tingkat penerimaan teknologi m-commerce di Kabupaten Kuningan serta untuk mengetahui faktor-faktor yang mempengaruhi niat pengguna dalam menggunakan teknologi m-commerce tersebut. Faktor-faktor yang digunakan dalam penelitian ini diadaptasi dari Model Penerimaan Teknologi (TAM) oleh Fred Davis ditambah dengan faktor eksternal efikasi diri penggunaan selular dan kepercayaan pengguna dari Compeau dan Gefen. Penelitian dilakukan dengan menggunakan metode survei kepada 397 respoden. Hasil menunjukkan bahwa faktor efikasi diri penggunaan selular dan kepercayaan pengguna berpengaruh positif terhadap faktor kemanfaatan dan kemudahan penggunaan teknologi m-commerce. Faktor kemanfaatan dan faktor kemudahan berpengaruh positif terhadap faktor sikap penggunaan teknologi dan niat untuk menggunakan teknologi m-commerce. Kata Kunci: M-commerce; Model Penerimaan Teknologi (TAM); persepsi Kemudahan, persepsi kemanfaatan.