Gambaran Sense Of Community Pada Karyawan Bagian Administrasi Di Universitas Muhammadiyah Sidoarjo

Maryam, Effy Wardati

doi:10.21070/psikologia.v2i1.756

Cited by 6 publications

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“…Beberapa hal tersebut bergerak linear dengan kualitas layanan yang diberikan oleh organisasi. Maryam (2017) mencoba untuk melihat gambaran sense of community pada karyawan bagian administrasi yang ternyata didapati hasil bahwa dari keempat dimensi mengenai sense of community, dimensi mengenai shared emotional connection merupakan urutan tertinggi dari dimensi-dimensi yang ada.…”

Section: Pendahuluanunclassified

“…Anggota dalam sebuah kelompok akan lebih baik jika memiliki sense of community, hal ini agar menjaga kekokohan serta keberlangsungan kelompok itu sendiri. Adanya sikap apatis dari anggota kelompok dapat menjadi faktor penghambat kualitas interaksi antar anggota, sehingga hal tersebut dapat berdampak pada keberlanjutan sebuah kelompok atau komunitas (Maryam, 2017).…”

Section: Sense Of Communityunclassified

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Seksisme sebagai moderator hubungan sense of community dan kinerja mahasiswa organisatoris

Hakiki

Mashuri

2021

Cognicia

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The performance of student organizations is a crucial variable in maintaining their existence and achieving their organizational goals. One of the important factors that influence this is the degree of sense of community of the members of the organization. Sexism as a gender prejudice is considered to have the potential to influence aspects of the sense of community and organizational performance. This study aims to examine sexism as a moderator on the relationship between sense of community and organizational performance. This study uses a quantitative method and determines the subject using a random sampling technique to the members of student organizations with a total of 223 subjects. The measuring instrument used is Sense of Community version 2, The Ambivalent of Sexism Inventory, and an Organizational Performance Scale. Data analysis used the method of moderated regression analysis. The results showed that there was a significant relationship between sense of community and organizational performance, and sexism as a moderator variable had an insignificant value on the relationship between sense of community and organizational performance. Keywords: Organizational performance, sense of community, sexism, university student

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Section: Pendahuluanunclassified

Section: Sense Of Communityunclassified

Seksisme sebagai moderator hubungan sense of community dan kinerja mahasiswa organisatoris

Hakiki

Mashuri

2021

Cognicia

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“…Perasaan aman dan nyaman, saling peduli, saling percaya, dan terdapat ikatan emosional antar anggota komunitas disebut dengan sense of community (Dalton, Elias, & Wandersman, 2007). McMillan dan Chavis menjelaskan bahwa sense of community merupakan perasaan bahwa anggota komunitas memiliki keterikatan, sebuah perasaan bahwa anggota memiliki arti terhadap anggota lainnya dan terhadap anggota komunitas, serta adanya keyakinan bersama bahwa kebutuhan para anggota dapat dicapai melalui komitmen mereka untuk bersama (Maryam, 2017).…”

Section: Pendahuluanunclassified

“…Pengukuran Sense of Community diperoleh melalui skala Sense of Community yang disusun dari aspek-aspek sense of community yang dikemukakan oleh McMillan dan Chavis (Maryam, 2017). Hasil analisis item menunjukkan bahwa semua aitem yang berjumlah 24 aitem adalah dapat dipakai dengan pergerakan daya diskriminasi aitem sebesar 0.331 -0.723 dan koefisien reliabilitas dengan menggunakan teknik konsistensi internal yang berupa alpha cronbach sebesar 0.927.…”

Section: Metode Penelitianunclassified

Sense of Community dan Self-Regulated Learning sebagai Prediktor pada Prokrastinasi Akademik Mahasiswa

Maryam

Affandi

2019

An-Nafs

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Academic procrastination in students is a determining factor for the success of students in completing their studies. Engagement with the community and the ability of students to organize themselves in learning also play a role in academic procrastination. This study aims to determine the relationship of Sense of Community (SoC) and Self -Regulated Learning (SRL) with Academic Procrastination. The population of this study was all UMSIDA students in the odd semester of 2018-2019 academic year with the total number of 9824 students and the total sample based on Isaac and Michael's table with an 5% error rate were 385 students with a proportioned random sampling technique. Research data collection used three psychological scales, namely the scale of academic procrastination, the scale of the sense of community, and the scale of self-regulated learning. Analysis of research data used was product moment correlation and multiple regression analysis. The results of the analysis show that the Sense of Community and Self-Regulated Learning have a negative relationship with academic procrastination. If students perceive themselves to have a Sense of Community and high Self-Regulated Learning, they will tend to reduce their academic procrastination. However, the Self-Regulated Learning prediction on academic procrastination is higher than the Sense of Community on academic procrastination.

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“…Bayes Method using categories based on hypothetical Mean values and Hypothetical Deviation Standards with formula as follows(Maryam, 2018): …”

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confidence: 99%

Sentiment Analysis of Twitter Data on Remote Learning Using Naïve Bayes Algorithm

Khairina

Fitriati

2021

jri

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Covid-19 is widespread, resulting in a global pandemic. Distance Learning System (DLS) is considered as a solution but, the reality of the implementation of DLS is not in accordance with the expectations of the community. Many Twitter users wrote their opinions on DLS. The tendency of public sentiment can be used as a way to improve the existing education system in Indonesia and can be an input for the government in improving the DLS method that is being implemented. Thus, this study produced a system that can analyze tweet sentiment towards DLS. The tweet was obtained using the Twitter API. The method used is Naïve Bayes for the process of classification of positive, negative, and neutral sentiments using 600 data. Then, data sharing is done 80% data training and 20% data testing that will be in the text preprocessing first. The accuracy of sentiment analysis of DLS using the Naïve Bayes method using 3-fold Cross-Validation produces an average of 93%.

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Gambaran Sense Of Community Pada Karyawan Bagian Administrasi Di Universitas Muhammadiyah Sidoarjo

Cited by 6 publications

References 0 publications

Seksisme sebagai moderator hubungan sense of community dan kinerja mahasiswa organisatoris

Seksisme sebagai moderator hubungan sense of community dan kinerja mahasiswa organisatoris

Sense of Community dan Self-Regulated Learning sebagai Prediktor pada Prokrastinasi Akademik Mahasiswa

Sentiment Analysis of Twitter Data on Remote Learning Using Naïve Bayes Algorithm

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