Evaluasi Situs Jejaring Sosial Warga.id Menggunakan Model Kesuksesan Sistem Informasi Delone & McLean Terhadap User Satisfaction Berdasarkan Persepsi Pengguna Warga.id
Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,006 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».