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Record W1938466278

Evaluasi Situs Jejaring Sosial Warga.id Menggunakan Model Kesuksesan Sistem Informasi Delone & McLean Terhadap User Satisfaction Berdasarkan Persepsi Pengguna Warga.id

2015· article· id· W1938466278 on OpenAlex
Safitri Heny Rachmawati

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Ilmiah Universitas Bakrie · 2015
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyUser satisfactionComputer scienceHuman–computer interaction
DOInot available

Abstract

fetched live from OpenAlex

Bagi masyarakat Indonesia situs jejaring sosial memang sudah tidak asing lagi. Setiap orang pasti punya akun di salah satu sosial media. Menurut “We Are Social” mengungkap bahwa, pengguna internet di negara Indonesia bertambah dari tahun ke tahun. Berdasarkan hasil survey tersebut tentunya menjadi tantangan untuk developer mengembangkan situs jejaring sosial lokal, salah satunya Warga.id. Di negara Indonesia situs jejaring sosial lokal kalah populer dengan situs jejaring sosial seperti Facebook, Path, Twitter, Instagram, Google Plus dan lain sebagainya. Hal ini tidak memutuskan harapan bagi tim Warga.id yang  masih terus melakukan inovasi fitur-fitur agar lebih disukai masyarakat. Selain itu Warga.id ingin mengajak pengguna menjadi lebih aktif. Penelitian ini dilakukan untuk mengetahui faktor-faktor kualitas situs warga.id berdasarkan model Delone & McLean apa saja yang memiliki pengaruh signifikan terhadap kepuasan pengguna dan untuk menjawab kendala yang dialami Warga.id. Hasil penelitian ini menunjukkan bahwa seluruh faktor kualitas berdasarkan model Delone & McLean memiliki pengaruh signifikan terhadap kepuasan pengguna dan menjawab kendala Warga.id bahwa situs tersebut membutuhkan pengembangan dalam hal kualitas layanan. Kata Kunci: Situs Jejaring Sosial, Model Delone & McLean, Kepuasan Pengguna, Kualitas Layanan. For Indonesian society, social networking sites it’s not something odd. Every people of course have account in one of social media ccount. “We Are Social” said that, internet users in Indonesia have increased every year. Based on survey result, there is a challenge for developer to expand social networking sites, including Warga.id. In Indonesia, local social networking sites it’s not as populer as  Facebook, Path, Twitter, Instagram, Google Plus, etc. But Warga.id’s team still make a lot of inovation in build features that is preferred for society. Besides that, Warga.id want to make unactived user become active user. The purpose of this research is to identify factors of sites quality based on Delone & McLean that have significance effects on user satisfaction and to answer Warga.id problems. The results of this research shown that all DeLone & McLean quality factors have significance impact on user satisfaction and the impact from user satisfaction and answer Warga.id problems that Warga.id need to improve their service quality. Key Words: Delone & McLean, User Satisfaction, Sense of Belonging, Positive Word-of-mouth, Intention to Use, Knowledge Sharing. Daftar Pustaka 10TopTenReviews. (2014, February 1). Why Social Networking . Dipetik April 22, 2015, dari toptenreviews.com: http://social-networking-websites-review.toptenreviews.com Ali H. Al-Badi, M. O. (2013). Improving Usability of Social Networking Systems: A Case Study of LinkedIn. JISNVC: Journal of Internet Social Networking & Virtual Communities , 1-23. Retrieved from  http://www.ibimapublishing.com/journals/JISNVC/2013/889433/889433.pdf Alton Y.K. Chua, D. H. (2010). A study of Web 2.0 Applications in Library Websites. Library & Information Science Research , 203-211. Retrieved from  http://ejournals.library.ualberta.ca/index.php/EBLIP/article/downloadSuppFile/9474/1513 Apiwan T, &. N. (2011). The Engagement of Social Media In Facebook: The Case of College Students In Thailand. EPPM , 227-238. Retrieved from  http://www.ppml.url.tw/EPPM/conferences/2011/download/SESSION8/227_238.pdf Armi, H. (2014, Desember 17). Daftar jejaring sosial indonesia terbaru 2015 . Dipetik April 9, 2015, dari hafid-armi.blogspot.com: http://hafid-armi.blogspot.com/2014/12/daftar-jejaring-sosial-indonesia.html Chun-Zhi, K. &. (2008). Research on User Loyalty of Instant Messanging Tools. Joint Conference of Information Sciences , 118. Retrieved from  http://www.atlantis-press.com/php/download_paper.php?id=1783 Dedy, I. (2015, Febuari 26). Seputar Warga.id. (S. H. R, Pewawancara) Ermaniah, R. (2014, April 21). 6 Strategi Pemasaran Sukses dengan Cara yang Lebih Mudah . Dipetik April 20, 2015, dari mediabisnisonline.com: http://mediabisnisonline.com/6-strategi-pemasaran-sukses-dengan-cara-yang-lebih-mudah/ Goyette, I. R. (2010). e-WOM Scale: Word-of-Mouth Measurement Scale for e-Service Context. Canadian Journal of Administrative Sciences, 27 (1), 5-23. Retrieved from  http://onlinelibrary.wiley.com/doi/10.1002/cjas.129/pdf Gruen, T. O. (2006). The Impact of Custome to Customer Online Know - How To Exchange on Customer Value and Loyalty. Journal of Business Research, 59 (4), 449-456. Retrieved from  https://ideas.repec.org/a/eee/jbrese/v59y2006i4p449-456.html‎ Han, M.-C. (2014). How Social Network Characteristics Affect Users’ Trust and Purchase Intention. International Journal of Business and Management, 9 (8), 122-132. Retrieved from http://www.ccsenet.org/journal/index.php/ijbm/article/view/35136 Indra, A. (2015, July 2). Perkembangan Warga.id . (S. H. R, Pewawancara) Indra, A. (2015, Febuari 26). Strategi Warga.id untuk meningkatkan user. (S. H. R, Pewawancara) Isabel Anger, T. R. (2012). Evaluation Set Up for a Regional Social Network Service. SOTICS: The Second International Conference on Social Eco-Informatics , 42-45. Retrieved from http://www.thinkmind.org/download.php?articleid=sotics_2012_2_30_30082 Jainuri, M. (2015, Agustus). Skala Pengukuran. Jambi: Sekolah Tinggi Keguruan dan Ilmu Pendidikan STKIP YPM Bangko. John H. Heinrichs, J.-S. L.-S. (2011). Influence of Social Networking Site and User Access Method on Social Media Evaluation. Journal of Consumer Behaviour, 10 , 347-355. Retrieved from  http://onlinelibrary.wiley.com/doi/10.1002/cb.377/abstract Latan, H., & Ghozali, I. (2015). Partial Least Squares: Konsep, teknik dan aplikasi menggunakan program SmartPLS 3.0 Untuk Penelitian Empiris. Semarang: Badan Penerbit Universitas Diponegoro. LIN, H.-F. (2007). Measuring Online Learning Systems Success: Applying the Update DeLone and McLean Model. Cyber Psychology & Behavior, 10 (6), 817-821. Retrieved from  http://www.pacis-net.org/file/2011/PACIS2011-005.pdf Lo Liang Kheng, P. O. (2010). The Impact of Service Quality on Customer Loyalty: A Study of Banks in Penang, Malaysia. International Journal of Marketing Studies, 2 (2), 57-66. Retrieved from  http://www.ccsenet.org/journal/index.php/ijms/article/viewFile/8110/6148 MN, F. (2013, September 24). Cara Menghitung Skala Likert . Diambil kembali dari Fathir MN Official Blog: https://fathirphoto.wordpress.com/2013/09/24/cara-menghitung-skala-likert/ Nawangsari, A. Y. (2011). Structural Equation Modelling Pada Perhitungan Indeks Kepuasan Pelanggan Dengan Menggunakan Software Amos. Yogyakarta: Universitas Negeri Yogyakarta. Retrieved from  http://core.ac.uk/download/pdf/11058707.pdf Ruseffendi, E. R. (2014). Prosiding Seminar Nasional Matematika. Dalam I. D. Marchasan (Penyunt.), Prosiding Seminar Nasional Pendidikan Matematika. 2 , hal. 267. Cimahi: Stkipsiliwangi. Sabherwal, I. B.-F. (2010). Knowledge Management Systems And Processes. London: M.E Sharpe. Retrieved from  http://www.mdp.ac.id/materi/2012-2013-2/TI413/021014/TI413-021014-737-1.pdf Scott, J. H. (2013). Electronic Word of Mouth and Knowledge Sharing on Social Network Sites: A Social Capital Perspective. Journal of Theoretical and Applied Electronic Commerce Research, 8 (1), 69-82. Retrieved from http://www.scielo.cl/pdf/jtaer/v8n1/art06.pdf Setyadharma, A. (2010). Uji Asumsi Klasik dengan SPSS 16.0. Semarang: Universitas Negeri Semarang. Shu-Chuan Chu, &. Y. (2011). Determinant of Consumer Engagement in Electronic Word-of-Mouth (eWOM) in Social Networking Site. International Journal of Advertising: The Review of Marketing Communications,, 30 (1), 47-75. Retrieved from http://www.tandfonline.com/doi/pdf/10.2501/IJA-30-1-047-075‎ Social, W. A. (2015, January 21). Techinasia. (K. K. Wijaya, Penyunt.) Dipetik April 4, 2015, dari id.techinasia.com: http://id.techinasia.com/laporan-pengguna-website-mobile-media-sosial-indonesia/ tulisan.org. (2015, Febuary 7). 7 Situs Dan Aplikasi Jejaring Sosial Buatan Anak Indonesia . Dipetik April 9, 2015, dari www.tulisan.org: http://www.tulisan.org/2015/02/7-situs-dan-aplikasi-jejaring-sosial.html Ulrike Pfeil, R. A. (2008). Age differences in online social networking – A study of user profiles and the social capital divide among teenagers and older users in MySpace. Computers in Human Behavior, 25 , 643 - 654. Retrieved from  http://www.sciencedirect.com/science/article/pii/S0747563208001714‎ Valentin Todorov, S. T. (2014, April 14). Methodology for Evaluation of Statistical Information Systems. Dipetik July 7, 2015, dari www.unece.org:http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.50/2014/presentations/Topic_4_UNIDO.pdf Widhiarso, W. (2010). Jumlah Sampel dalam Pemodelan Persamaan Struktural. Yogyakarta: UGM. Retrieved from  http://widhiarso.staff.ugm.ac.id/files/widhiarso_2010_-_jumlah_sampel_dalam_pemodelan_persamaan_struktural__sem_.pdf Yan, W. P. (2008). Factors Affecting Individual’s Intention to Continue Participating in a Social Networking Site. Hongkong: Hongkong Baptist University.  http://libproject.hkbu.edu.hk/trsimage/hp/05012090.pdf Zhou, Z. (2009). Evaluating Website Using a Practical Quality Model. Leicester, UK: De Montfort University. Retrieved from  https://www.dora.dmu.ac.uk/bitstream/handle/2086/3422/ZihouZhou_Thesis-Final.pdf?sequence=1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.006
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.268
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it