Skala Cyberslacking Pada Mahasiswa

Simanjuntak, Ermida; Fajrianthi, Fajrianthi; Purwono, Urip

doi:10.14710/jp.18.1.55-68

Cited by 4 publications

(5 citation statements)

References 17 publications

(20 reference statements)

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“…Vocational High School students are a generation of digital natives who cannot be separated from technology. This study result is supported by the research of Dierick et al, (2020) and Simanjuntak, et al, (2019), which state that the digital native generation is a generation that is always connected to the internet and tends to multitask media in every activity, including learning activities.…”

Section: Discussionsupporting

confidence: 58%

“…The academic cyberslacking understanding test consists of 10 items that measure students' knowledge of academic cyberslacking and self-regulation in learning. The academic cyberslacking scale consists of 24 items derived from the academic cyberslacking scale by Simanjuntak, et al (2019) which consists of 5 dimensions, namely sharing, shopping, real-time updating, accessing online content, and gaming/gambling. The academic cyberslacking scale has a Cronbach Alpha value of 0.91 with a corrected total item correlation of 0.34 -0.65.…”

Section: Research Instrumentsmentioning

confidence: 99%

“…Things that students do include accessing social media, opening sites that are not related to the subject matter, playing online games, chatting with colleagues to discuss other things that are not related to the subject matter while the lesson is in progress. The activities carried out by these students are related to the concept of academic cyberslacking (Akbulut et al, 2016;Simanjuntak, et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

"Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking

2022

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Online learning at home for vocational high school students triggers several problems, including academic cyberslacking. Academic cyberslacking is defined as students' internet access to things unrelated to the course materials during the class. Referring to this condition, vocational high school students need to have a better understanding of academic cyberslacking through training so that the students can control the emergence of academic cyberslacking during the class. This study explores the effect of positive learning attitude training on increasing the understanding of vocational high school students in academic cyberslacking. The participants of this study were 187 vocational high school students who participated in a positive learning attitude training. The results showed a value of Z = -3,306, p = 0.001 (p<0.05), so it can be concluded that there is a significant difference in the understanding of academic cyberslacking before and after participating in positive learning attitude training of the vocational high school students. Students understand better the academic cyberslacking phenomenon after receiving positive learning attitude training.Situasi belajar daring di rumah pada siswa Sekolah Menengah Kejuruan memicu beberapa permasalahan salah satunya adalah cyberslacking akademik. Cyberslacking akademik didefinisikan sebagai akses internet pada hal-hal tidak berhubungan dengan materi pelajaran yang sedang diikuti oleh siswa. Merujuk pada kondisi ini maka siswa Sekolah Menengah Kejuruan perlu mendapatkan pemahaman mengenai cyberslacking akademik melalui suatu training sehingga siswa dapat mengendalikan kemunculan cyberslacking akademik saat mengikuti pelajaran. Penelitian ini bertujuan untuk melihat pengaruh training positive learning attitude pada peningkatan pemahaman siswa Sekolah Menengah Kejuruan pada cyberslacking akademik. Subjek penelitian adalah 187 siswa Sekolah Menengah Kejuruan yang mengikuti training positive learning attitude. Hasil penelitian menunjukkan nilai Z = -3.306, p = 0.001 (p<0.05) sehingga dapat disimpulkan bahwa ada perbedaan yang signifikan pada pemahaman siswa Sekolah Menengah Kejuruan pada cyberslacking akademik sebelum dan sesudah mengikuti training positive learning attitude. Pemahaman siswa pada fenomena cyberslacking akademik meningkat setelah mendapatkan training positive learning attitude.

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Section: Discussionsupporting

confidence: 58%

Section: Research Instrumentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

"Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking

2022

Self Cite

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“…The next step is testing the validity with First Order Confirmatory Factor Analysis. Items with a loading factor of .4 are considered (Sharma, 1996) good and a t-value must be greater than 1.96 because it indicates that these factors can describe the measured construct (Simanjuntak et al, 2019 Total prior items are 61 items, with the following specifications: personal characteristic 11 items, organizational acumen 21 items, work competence 17 items, and social intelligence: 12 items. The response options use a rating scale of 1 -6 (very inappropriate -very appropriate).…”

Section: Discussionmentioning

confidence: 99%

Development of Indonesian Work Readiness Scale on Fresh Graduate in Indonesia

2020

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Fresh graduates need to have work readiness as one of the essential attributes. Work readiness is a condition when fresh graduates ready to succeed in the working world. In Indonesia, studies explaining the measurement scale of work readiness are still limited. This study aims to develop a work readiness scale for undergraduates, which is beneficial for companies, universities, and fresh graduates. The research sample consists of 118 fresh graduates, with no prior work experiences. After several examinations, the scale contains 49 items. As a result, the construct validity test using confirmatory factor analysis (CFA) shows that the developed instrument can measure the work readiness construct. The results of the reliability test using Cronbach's alpha coefficient is .961. This number means that the developed instrument is reliable. The analysis results show that the developed work readiness scale has good validity and reliability.

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“…Selanjutnya, dilakukan pengujian validitas dengan menggunakan first-order confirmatory factor analysis. Item dengan loading factor 0,4 dikategorikan good (Sharma, 1996) dan t-value harus lebih besar dari 1,96 karena hal tersebut mengindikasikan bahwa faktor-faktor dapat menggambarkan konstrak yang diukur (Simanjuntak et al, 2019). Tahap selanjutnya adalah menguji kembali reliabilitas dan validitas item yang masih bertahan (construct validity) dengan menggunakan second-order confirmatory factor analysis.…”

Section: Metodeunclassified

Pengembangan Alat Ukur Intention to Leave Scale Bagi Perwira Tni Ad

Hilman

Batubara²,

Hinduan³

2021

JPSP

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Permasalahan retensi merupakan permasalahan yang harus dihadapi banyak angkatan bersenjata di seluruh dunia. Di sisi lain, permasalahan ini juga merupakan tantangan bagi TNI AD. Angka retensi pada TNI AD relatif stabil, yaitu dengan jumlah kurang dari 1% per tahunnya. Meskipun begitu, TNI AD harus mampu memastikan bahwa para perwira yang memutuskan untuk pensiun dini bukanlah perwira potensial, seperti telah mengikuti pendidikan staf dan komando atau pernah menduduki jabatan sebagai komandan yang berprestasi, karena investasi yang telah dilakukan akan menjadi sia-sia. Tujuan dari penelitian ini adalah untuk mengembangkan adaptasi alat ukur Intention to Leave (ITL) untuk TNI AD. Instrumen yang dikembangkan didasari oleh teori dari Meyer et al. (1993) yang mendefinisikan tiga dimensi yang berhubungan dengan intention to leave, yaitu how frequently thinks about leaving, how likely search for a job in another organization, dan how likely individual will actually leave within next year. Skala ITL dalam penelitian ini disajikan kepada 73 perwira menengah yang berdinas di Sekolah Staf dan Komando TNI AD dengan menggunakan online platforms. Hasil menunjukkan bahwa construct reliability pada tiap dimensi adalah sebesar 0,834, 0,841 dan 0,859 secara berurutan. Hal ini mengindikasikan bahwa reliabilitas pengukuran berada pada rentang yang dapat diterima. Melalui perhitungan second-order confirmatory factor analysis, diperoleh hasil χ2 = 1.922, P = 0,004, RMSEA = 0,113, SRMR = 0,050, dan CFI = 0,97. Hasil tersebut berada dalam kategori model yang marginal dan good fit, sehingga secara internal mendukung validitas instrumen dalam mengukur ITL. Saran bagi penelitian selanjutnya yaitu perlu mempertimbangkan sampel yang lebih besar, karakter demografi, latar belakang budaya, dan dapat diberikan pada Golongan Bintara atau Golongan Tamtama.

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Skala Cyberslacking Pada Mahasiswa

Cited by 4 publications

References 17 publications

"Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking

"Positive Learning Attitude" Training to Improve Vocational High School Students' Understanding of Academic Cyberslacking

Development of Indonesian Work Readiness Scale on Fresh Graduate in Indonesia

Pengembangan Alat Ukur Intention to Leave Scale Bagi Perwira Tni Ad

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