eprintid: 70214
rev_number: 9
eprint_status: archive
userid: 1290
dir: disk0/00/07/02/14
datestamp: 2021-03-16 06:18:52
lastmod: 2021-05-28 05:41:11
status_changed: 2021-03-16 06:18:52
type: thesis
metadata_visibility: show
creators_name: Widarso, Sugeng
creators_name: Hanum, Farida
title: Model Manajemen Program Pendidikan Karakter Berbasis Pemanfaatan Smartphone Untuk Sekolah Menengah dalam Era Revolusi Industri 4.0.
ispublished: pub
subjects: D10
divisions: pps_mp
full_text_status: restricted
keywords: Model, manajemen, karakter, smartphone, revolusi industri 4.0
abstract: Penelitian dan pengembangan ini bertujuan untuk menciptakan model manajemen
concurrent triangulation. Sampel yang digunakan dalam fase penelitian kuantitatif berjumlah 369 siswa dan 15 guru yang pengumpulan datanya menggunakan metode kuesioner. Sementara narasumber dalam fase penelitian kualitatif berjumlah 39 orang yang terdiri atas 16 siswa, 15 guru, 5 kepala sekolah, dan 3 warga masyarakat yang pengumpulan datanya menggunakan metode observasi, wawancara, dan dokumentasi. Untuk menguji hipotesis yang diajukan dalam penelitian kuantitatif menggunakan uji wilcoxon. Kesimpulan akhir dalam penelitian ini merupakan rangkaian hasil dari meta analisis dengan cara membandingkan hasil penelitian kuantitatif dan kualitatif.
Hasil penelitian ini menyatakan bahwa (1) model manajemen program pendidikan karakter yang sedang berlaku di sekolah menengah tempat penelitian ini belum memanfaatkan smartphone sebagai alat bantu; (2) model manajemen program pendidikan karakter yang diberlakukan tersebut kurang relevan diterapkan dalam era revolusi industri 4.0; (3) model manajemen program pendidikan karakter yang dikembangkan dalam penelitian ini berbasis pada pemanfaatan smartphone sebagai alat bantu; (4) produk dalam penelitian ini dikembangkan menggunakan model ADDIE; (5) program yang dihasilkan dan dikelola menggunakan produk yang dikembangkan adalah program pendidikan karakter berbasis pemanfaatan smartphone; (6) efektivitas program pendidikan karakter setelah memanfaatkan smartphone lebih baik dibandingkan dengan efektivitas program pendidikan karakter sebelum memanfaatkan smartphone dan nilai rata-rata efektivitasnya mencapai 79,51% dari yang diharapkan; (7) keterapan program pendidikan karakter berbasis pemanfaatan smartphone mencapai 78,68% dari yang diharapkan; (8) kualitas karakter siswa setelah menjalankan program pendidikan karakter berbasis pemanfaatan smartphone menjadi lebih baik dibandingkan dengan sebelumnya dan nilai rata-rata kualitas karakternya mencapai 82,07% dari yang diharapkan; (9) produk yang dihasilkan terbukti secara meyakinkan dapat
program pendidikan karakter berbasis pemanfaatan smartphone yang
valid, teruji, efektif, dan memiliki kualitas keterapan tinggi untuk sekolah menengah
di era revolusi industri 4.0.
Produk yang dikembangkan menggunakan model pengembangan ADDIE dan
metode penelitian yang digunakan adalah metode campuran dengan desain
  dalam menjalankan proses pendidikan karakter untuk siswa dengan
kemudahan   79,58% dari yang diharapkan.
date: 2020-01-31
date_type: published
institution: Program Pascasarjana
department: Manajemen Pendidikan
thesis_type: disertasi
referencetext: Aljomaa, S. S., Mohammad, M. F., Albursan, I. S., Bakhiet, S. F., & Abduljabbar, A. S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155–164. https://doi.org/10.1016/j.chb.2016.03.041
Alshahrani, K. (2015). Elearning in higher education: from teacher-centered to learner-centered design. Arabia: Deanship of Research & Doctoral Studies.
Arwa Jamal, R., Sedie, K. A., & Haleem, N. H. (2012). Patterns of use of “smart phones” among female medical students and self-reported effects. Journal of Taibah University Medical Sciences, 7(1), 45–49. https://doi.org/10.1016/j.jtumed.2012.07.001
Back, S. Y., Kim, H. G., Ahn, E. M., Park, S., Jeon, S. R., Im, H. H., ... Cho, J. H. (2018). Impact of patient audiovisual re-education via a smartphone on the quality of bowel preparation before colonoscopy: a single-blinded randomized study. Gastrointestinal Endoscopy (Vol. 87). American Society for Gastrointestinal Endoscopy. https://doi.org/10.1016/j.gie.2017.09.007
Bae, S. M. (2017). The relationship between the type of smartphone use and smartphone dependence of Korean adolescents: National survey study. Children and youth services review, 81(August), 207–211. https://doi.org/10.1016/j.childyouth.2017.08.012
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016). Mental health smartphone apps: Review and evidence-based recommendations for future developments. JMIR Mental Health, 3(1), e7. https://doi.org/10.2196/mental.4984
Baran, E. (2014). A review of research on mobile learning in teacher education. Educational Technology & Society, 17(4), 17–32. https://doi.org/10.1007/s10639-011-9182-8
Baum, D. R., Cooper, R., & Lusk-Stover, O. (2018). Regulating market entry of low- cost private schools in sub-saharan Africa: Towards a theory of private education regulation. International Journal of Educational Development, 60(November 2016), 100–112. https://doi.org/10.1016/j.ijedudev.2017.10.020
298
Baur, C., & Wee, D. (2015). Manufacturing’s next act. McKinsey&Company, (June), 12–15.
Beauregard, P., Arnaert, A., & Ponzoni, N. (2017). Nursing students’ perceptions of using smartphones in the community practicum: A qualitative study. Nurse Education Today, 53, 1–6. https://doi.org/10.1016/j.nedt.2017.03.002
Behera, S. (2013). E- and m-learning: a comparative study. International Journal on New Trends in Education and Their Implications, (July), 65–78. https://doi.org/10.1108/02640470410561929
Benešová, A., & Tupa, J. (2017). Requirements for education and qualification of people in industry 4.0. Procedia Manufacturing, 11(June), 2195–2202. https://doi.org/10.1016/j.promfg.2017.07.366
Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012).
Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers and Education, 58(2), 843–855. https://doi.org/10.1016/j.compedu.2011.10.010
BPS. (2015). Persentase penduduk usia 5 tahun ke atas yang pernah mengakses internet dalam 3 bulan terakhir menurut provinsi, kelompok umur, dan jenis kelamin, 2014-2015. Retrieved from https://www.bps.go.id/dynamictable/2015/11/11/995/persentase-penduduk-usia- 10-tahun-ke-atas-yang-pernah-mengakses-internet-dalam-3-bulan-terakhir- menurut-provinsi-dan-jenis-kegiatan-utama-2012-2015.html
Brad, S., Murar, M., & Brad, E. (2016). Methodology for lean design of disruptive innovations. Procedia CIRP, 50, 153–159. https://doi.org/10.1016/j.procir.2016.04.204
Britton, J., & Propper, C. (2016). Teacher pay and school productivity: exploiting wage regulation. Journal of Public Economics, 133, 75–89. https://doi.org/10.1016/j.jpubeco.2015.12.004
Bush, T., & Coleman, M. (2012). Manajemen mutu kepemimpinan pendidikan. Yogyakarta: IRCiSoD.
Cao, H., & Lin, M. (2017). Mining smartphone data for app usage prediction and recommendations: A survey. Pervasive and Mobile Computing, 37, 1–22. https://doi.org/10.1016/j.pmcj.2017.01.007
299

Chaim, O., Muschard, B., Cazarini, E., & Rozenfeld, H. (2018). Insertion of sustainability performance indicators in an industry 4.0 virtual learning environment. Procedia Manufacturing, 21(2017), 446–453. https://doi.org/https://doi.org/10.1016/j.promfg.2018.02.143
Charith Perera, Srimal Jayawardena, Prem Prakash Jayaraman, C. H. L. (2014). Mobile sensing devices and platforms, (61272509).
Cheng, Y., Huang, L., Ramlogan, R., & Li, X. (2017). Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology. Technological Forecasting and Social Change, 117, 170–183. https://doi.org/10.1016/j.techfore.2016.12.003
Cho, K. S., & Lee, J. M. (2017). Influence of smartphone addiction proneness of young children on problematic behaviors and emotional intelligence: Mediating self-assessment effects of parents using smartphones. Computers in Human Behavior, 66, 303–311. https://doi.org/10.1016/j.chb.2016.09.063
Clarke, B., Atkinson, R., & Svanaes, S. (2015). How children use mobile devices at school and at home september 2015. Techknowledge.
Compeau, D. R., Ivey, R., Meister, D. B., & Higgins, C. A. (2007). From prediction to explanation: reconceptualizing and extending the perceived characteristics of innovating. Journal of the Association for Information Systems, 8(1), 409–439. https://doi.org/Article
Creswell, J. W. (2007). An introduction to mixed methods research. Retrieved September 8, 2019, from https://sbsrc.unl.edu/Introduction to Mixed Methods.pdf
de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018). When titans meet - can industry 4.0 revolutionise the environmentally- sustainable manufacturing wave? the role of critical success factors. Technological Forecasting and Social Change, (October 2017), 0–1. https://doi.org/10.1016/j.techfore.2018.01.017
Degennaro, A. J. (2010). Application of multiple intelligence theory to an elearning technology acceptance model. proquest dissertations and theses. Cleveland State University. Retrieved from http://search.proquest.com/docview/366657327?accountid=11262 LA - English
300

Doni, K. A. (2015). Pendidikan karakter: utuh dan menyeluruh. Yogyakarta: PT Kanisius.
Efektif. (n.d.). Retrieved from https://kbbi.web.id/efektif
Efektivitas. (n.d.). Retrieved from https://kbbi.web.id/efektivitas
Effectiveness. (n.d.). Retrieved from https://en.oxforddictionaries.com/definition/effectiveness
Effendy, M. (2018). Peraturan Menteri Pendidikan dan Kebudayaan Republik Indonesia Nomor 20 Tahun 2018 Tentang Penguatan Pendidikan Karakter Pada Satuan Pendidikan Formal. Jakarta.
Ehatisham-Ul-Haq, M., Azam, M. A., Naeem, U., Rehman, S. U., & Khalid, A. (2017). Identifying smartphone users based on their activity patterns via mobile sensing. Procedia Computer Science, 113, 202–209. https://doi.org/10.1016/j.procs.2017.08.349
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2017). Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Computers in Human Behavior, 69, 75–82. https://doi.org/10.1016/j.chb.2016.12.023
EMarket. (2017). Worldwide internet and mobile users: emarketer’s updated estimates and forecast for 2017–2021. Retrieved from https://www.emarketer.com/Report/Worldwide-Internet-Mobile-Users- eMarketers-Updated-Estimates-Forecast-20172021/2002147#summary
Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016). Tangible industry 4.0: a scenario-based approach to learning for the future of production. Procedia CIRP, 54, 13–18. https://doi.org/10.1016/j.procir.2016.03.162
Everett, S. F. (1981). The importance and implementation of management functions and activities in agricultural teacher education programs.
Fauzi, A. (2019). Education 1.0, education 2.0, atau education 3.0; anda berada di posisi mana? Retrieved from https://sejutaguru.com/2019/01/education-1-0- education-2-0-atau-education-3-0-anda-berada-di-posisi-mana/
301

Fitzpatrick, R. (2001). Is distance education better than the traditional classroom? Retrieved from
http://dspace.nlu.edu.ua/bitstream/123456789/6060/1/Moroz_87_88.pdf
Galloway, C. D., Valys, A. V, Petterson, F. L., Gundotra, V. P., Treiman, D. L., Albert, D. E., Friedman, P. A. (2018). Non-invasive detection of hyperkalemia with a smartphone electrocardiogram and artificial intelligence. Journal of the American College of Cardiology, 71(11), A272. https://doi.org/10.1016/S0735- 1097(18)30813-1
Garbie, I. H. (2017). Incorporating sustainability/sustainable development concepts in teaching industrial systems design courses. Procedia Manufacturing, 8(October 2016), 417–423. https://doi.org/10.1016/j.promfg.2017.02.053
Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649. https://doi.org/10.1016/j.chb.2016.05.091
Gülbahar, Y. (2007). Technology planning: A roadmap to successful technology integration in schools. Computers and Education, 49(4), 943–956. https://doi.org/10.1016/j.compedu.2005.12.002
Gushchin, A., & Divakova, M. (2017). ICT in education of architects. how to strike a balance? Procedia - Social and Behavioral Sciences, 237(June 2016), 1323– 1328. https://doi.org/10.1016/j.sbspro.2017.02.217
Hammer, M., Somers, K., Karre, H., & Ramsauer, C. (2017). Profit per hour as a target process control parameter for manufacturing systems enabled by big data analytics and industry 4.0 infrastructure. Procedia CIRP, 63, 715–720. https://doi.org/10.1016/j.procir.2017.03.094
Hassan, M. M., Uddin, M. Z., Mohamed, A., & Almogren, A. (2018). A robust human activity recognition system using smartphone sensors and deep learning. Future Generation Computer Systems, 81, 307–313. https://doi.org/10.1016/j.future.2017.11.029
302

Hassani, S., Kelly, E. H., Smith, J., Thorpe, S., Sozzer, F. H., Atchley, P., Vogel, L. C. (2017). Preventing distracted driving among college students: Addressing smartphone use. Accident Analysis and Prevention, 99, 297–305. https://doi.org/10.1016/j.aap.2016.12.004
Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic approach for human resource management in industry 4.0. Procedia CIRP, 54, 1–6. https://doi.org/10.1016/j.procir.2016.05.102
Heni Sukmawati, F. L. H. (2018). Menristekdikti: Samakan data hilangkan sengketa. Retrieved from https://ristekdikti.go.id/menristekdikti-samakan-data-hilangkan- sengketa/
Henning Kargermann, Wolfgang Wahlster, J. H. (2013). Umsetzungsempfehlungen für das zukunftsprojekt industrie 4.0. Bmbf.De, (April), 1–116.
Hermann, M., Pentek, T., & Otto, B. (2015). Design principles for industrie 4.0 scenarios: A literature review, (01), 16. https://doi.org/10.13140/RG.2.2.29269.22248
Hidayat, A. (2017). Cara hitung rumus slovin besar sampel. Retrieved from https://www.statistikian.com/2017/12/hitung-rumus-slovin-sampel.html
Honggui Li, & Trocan, M. (2018). Deep learning of smartphone sensor data for personal health assistance. Microelectronics Journal, (October 2017), 1–9. https://doi.org/10.1016/j.mejo.2018.01.015
Hu, B. (2013). Wi-Fi based indoor positioning system using smartphones, (November), 1–76.
Hubackova, S., & Ruzickova, M. (2015). ICT in lifelong education. Procedia - Social and Behavioral Sciences, 186, 522–525. https://doi.org/10.1016/j.sbspro.2015.04.176
Husaini Usman. (2016). Manajemen; teori, praktik, dan riset pendidikan (4th ed.). Jakarta: Bumi Aksara.
Indonesia, P. R. (2010). Kebijakan nasional: Pembangunan karakter bangsa tahun 2010-2025. Indonesia.
Jensen, J. K. B., Oie, C. S., & Jensen, S. J. K. B. (2012). Police innovation & social media interaction, 1–85.
303

Johnson, D. (2019). Management: The four functions. Retrieved from https://www.ligsuniversity.com/en/blogpost/management-the-four-functions
Jones, B. H., & Chin, A. G. (2015). On the efficacy of smartphone security: A critical analysis of modifications in business students’ practices over time. International Journal of Information Management, 35(5), 561–571. https://doi.org/10.1016/j.ijinfomgt.2015.06.003
Ju Yeon Kwak, Kim, J. Y., & Yoon, Y. W. (2018). Effect of parental neglect on smartphone addiction in adolescents in South Korea. Child Abuse and Neglect, 77(November 2017), 75–84. https://doi.org/10.1016/j.chiabu.2017.12.008
Kaehler, B., & Grundei, J. (2019). HR Governance: A theoretical introduction. Switzerland: Springer International Publishing AG Part of Springer Nature. Retrieved from https://books.google.co.id/books?id=4QtjDwAAQBAJ&pg=PA6&dq=Managem ent+is+the+process+of+planning,+organizing,+leading,+and+controlling+the+u se+of+resource+to+accomplish+performance+goals&hl=id&sa=X&ved=0ahUK EwjUxIOmm7_fAhUhTI8KHSuhDVEQ6AEIKDAA#v=onepage&q
Kaya, T., & Bicen, H. (2016). The effects of social media on students’ behaviors; facebook as a case study. Computers in Human Behavior, 59, 374–379. https://doi.org/10.1016/j.chb.2016.02.036
Kbbi. (2018). kbbi. Retrieved from https://kbbi.web.id/program
Kbbi. (2019). Model. Retrieved September 2, 2019, from https://kbbi.web.id/model
Kemp, S. (2018). Digital in 2018: World’s internet users pass the 4 billion mark. Retrieved from https://wearesocial.com/blog/2018/01/global-digital-report-2018
Kenny, R. F., Van Neste-Kenny, J. M. C., Park, C. L., Burton, P. a, & Meiers, J. (2009). Mobile learning in nursing practice education: Applying Koole’s frame model. Journal of Distance Education, 23(3), 75–96. https://doi.org/34F4A947- DB7A-4C3C-8753-8DEFD062FF17
Ketelaar, P. E., & van Balen, M. (2018). The smartphone as your follower: The role of smartphone literacy in the relation between privacy concerns, attitude and behaviour towards phone-embedded tracking. Computers in Human Behavior, 78, 174–182. https://doi.org/10.1016/j.chb.2017.09.034
304

Kim, E., & Koh, E. (2018). Avoidant attachment and smartphone addiction in college students: The mediating effects of anxiety and self-esteem. Computers in Human Behavior, 84, 264–271. https://doi.org/10.1016/j.chb.2018.02.037
Kim, S. J., Shin, H., Lee, J., Kang, S. R., & Bartlett, R. (2017). A smartphone application to educate undergraduate nursing students about providing care for infant airway obstruction. Nurse Education Today, 48, 145–152. https://doi.org/10.1016/j.nedt.2016.10.006
Komalasari, K., & Saripudin, D. (2017). Pendidikan karakter. Bandung: PT Refika Aditama.
Kong, S. C. (2008). A curriculum framework for implementing information technology in school education to foster information literacy. Computers and Education, 51(1), 129–141. https://doi.org/10.1016/j.compedu.2007.04.005
Koole, M. L. M. (2009). A model for framing mobile learning. Mobile learning: Transforming the delivery of education, (October), 39. https://doi.org/10.1111/j.1467-8535.2007.00809.x
Lee, H., & Kim, J. (2018). A structural equation model on korean adolescents’ excessive use of smartphones. Asian Nursing Research. https://doi.org/10.1016/j.anr.2018.03.002
Lee, J., Lapira, E., Bagheri, B., & Kao, H. an. (2013). Recent advances and trend in predictive manufacturing systems in big data environment. Manufacturing Letters, 1(1), 38–41. https://doi.org/10.1016/j.mfglet.2013.09.005
Lee, J. M., Kim, S. J., & Min, H. Y. (2017). The effects of smartphone-based nebulizer therapy education on parents’ knowledge and confidence of performance in caring for children with respiratory disease. Journal of Pediatric Nursing, 36, 13–19. https://doi.org/10.1016/j.pedn.2017.04.012
Lee, S. Y. (2014). Examining the factors that influence early adopters’ smartphone adoption: The case of college students. Telematics and Informatics, 31(2), 308– 318. https://doi.org/10.1016/j.tele.2013.06.001
305

Leem, J., Kim, Y., Heo, J., Jung, M., Kim, S., Lee, H., Kim, T. H. (2017).
Experiences, perceptions and needs on the education of evidence-based medicine among Korean medicine college students: A nationwide online survey. European Journal of Integrative Medicine, 15(September), 10–16. https://doi.org/10.1016/j.eujim.2017.09.001
Lewis, P. S., Goodman, S. H., Fandt, P. F., & Michlitsch, J. F. (2007). Management: Challenges for tomorrow’s leaders (5th ed.). Boulevard, USA: Thomson Higher Education. Retrieved from https://books.google.co.id/books?id=rs2Obr55ThsC&pg=PA6&dq=penemu+teo ri+manajemen%2Bplanning%2Borganizing%2Bleading%2Bcontrolling&hl=id &sa=X&ved=0ahUKEwiBssK4k7_fAhXEKo8KHQY3CHEQ6AEIKDAA#v=o nepage&q&f=false
Li, M., Porter, A. L., & Suominen, A. (2018). Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective. Technological Forecasting and Social Change, 129(November 2016), 285–296. https://doi.org/10.1016/j.techfore.2017.09.032
Libner, J. (2016). Priorities for continuing education regarding regulation: Perceptions of RN-to-BSN students and state regulators. Journal of Nursing Regulation, 7(1), 53–58. https://doi.org/10.1016/S2155-8256(16)31042-0
Lickona, T. (2016). Character matters: persoalan karakter. Jakarta: Bumi Aksara.
Liu, X., Toki, E. I., & Pange, J. (2014). The use of ICT in preschool education in Greece and China: A comparative study. Procedia - Social and Behavioral Sciences, 112(Iceepsy 2013), 1167–1176. https://doi.org/10.1016/j.sbspro.2014.01.1281
Loveless, A., Burton, J., & Turvey, K. (2006). Developing conceptual frameworks for creativity, ICT and teacher education. Thinking skills and creativity, 1(1), 3–13. https://doi.org/10.1016/j.tsc.2005.07.001
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open. Journal of Industrial Information Integration. https://doi.org/10.1016/j.jii.2017.04.005
Makrides, G. (2019). The evolution of education from education 1.0 to education 4.0: Is it an evolution or a revolution? Beer Sheva, Israel.
306

Miles, M. B., & Huberman, M. a. (1994). Qualitative data analysis. Evaluation And Program Planning (Vol. 19). SAGE Publications, Inc. https://doi.org/10.1016/0149-7189(96)88232-2
Millar, C., Lockett, M., & Ladd, T. (2017). Disruption: Technology, innovation and society. Technological forecasting and social change, (xxxx), 1–7. https://doi.org/10.1016/j.techfore.2017.10.020
Misty, K. (2013). Qualitative research methods (Vol. 33). A John Wiley & Sons, Ltd.
Modrek, A. S., Kuhn, D., Conway, A., & Arvidsson, T. S. (2017). Cognitive regulation, not behavior regulation, predicts learning. Learning and Instruction, (October 2016), 0–1. https://doi.org/10.1016/j.learninstruc.2017.12.001
Mohamed, Z., Shareef, A. F., Nazviya, M., Warda, F., Nihan, A., Zahid, H., Khaleel, N. (2016). ICT integration at villa international high school: Challenges from the perspective of the users. Dubai: HBMSU Publishing House.
Molenda, M. (2018). In search of the elusive addie model, (May 2003). https://doi.org/10.1002/pfi
Momeni, A., & Rost, K. (2016). Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling. Technological Forecasting and Social Change, 104, 16–29. https://doi.org/10.1016/j.techfore.2015.12.003
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
Mourtzis, D., Vlachou, E., & Milas, N. (2016). Industrial big data as a result of IoT adoption in manufacturing. Procedia CIRP, 55, 290–295. https://doi.org/10.1016/j.procir.2016.07.038
Müller, J. M., Buliga, O., & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, (September 2017), 0–1. https://doi.org/10.1016/j.techfore.2017.12.019
307

Nakamura, H., & Kajikawa, Y. (2017). Regulation and innovation: How should small unmanned aerial vehicles be regulated? Technological Forecasting and Social Change, 128(May 2016), 262–274. https://doi.org/10.1016/j.techfore.2017.06.015
Nasution, S. (1988). Metode penelitian naturalistik-kualitatif. Bandung: Tarsito.
Omar, Y. M., Minoufekr, M., & Plapper, P. (2017). Lessons from social network analysis to Industry 4.0. Manufacturing Letters, 0–11. https://doi.org/10.1016/j.mfglet.2017.12.006
Ooi, K. B., Lee, V. H., Tan, G. W. H., Hew, T. S., & Hew, J. J. (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376–394. https://doi.org/10.1016/j.eswa.2017.10.009
Oshidary, N. S. (2012). High school on facebook: An ethnography of social media, new technology, and psychosocial risks with “always on” teenagers.
Özdamlı, F., & Yıldız, E. P. (2014). Parents’ views towards improve parent-school collaboration with mobile technologies. Procedia - Social and Behavioral Sciences, 131, 361–366. https://doi.org/10.1016/j.sbspro.2014.04.130
Palsson, C. (2017). Smartphones and child injuries. Journal of Public Economics, 156, 200–213. https://doi.org/10.1016/j.jpubeco.2017.10.008
Papandrea, M. (2012). Social media, public school teachers , and the first amendment.
Paul Suparno, S. (2015). Pendidikan karakter di sekolah. Yogyakarta: PT Kanisius.
PBB. (2017). World-population. Retrieved from https://news.un.org/en/story/2017/06/560022-world-population-hit-98-billion- 2050-despite-nearly-universal-lower-fertility
Perbawaningsih, Y. (2013). Plus minus of ICT usage in higher education students. Procedia - Social and Behavioral Sciences, 103, 717–724. https://doi.org/10.1016/j.sbspro.2013.10.392
Pereira, A. C. Romero, F. (2017). A review of the meanings and the implications of the industry 4.0 concept. Procedia Manufacturing, 13, 1206–1214. https://doi.org/10.1016/j.promfg.2017.09.032
308

Pieterse, H., Olivier, M., & van Heerden, R. (2018). Smartphone data evaluation model: Identifying authentic smartphone data. Digital Investigation. https://doi.org/10.1016/j.diin.2018.01.017
Pistilli, N., & Cain, J. (2016). Using a health care practice framework to address smartphone use in the classroom. Currents in Pharmacy Teaching and Learning, 8(2), 247–253. https://doi.org/10.1016/j.cptl.2015.12.020
Prasojo, L. D., Habibi, A., Yaakob, M. F. M., Mukminin, A., Haswindy, S., & Sofwan, M. (2019). An explanatory sequential study on indonesia principals’ perceptions on ICT integration barriers. The Electronic Journal of E-Learning. Retrieved from http://issuu.com/academic-conferences.org/docs/ejel-volume17- issue1-article655?mode=a_p
Premthaisong, S., Srisawasdi, N., & Pondee, P. (2017). Development of smartphone- based inquiry laboratory lessons in chemistry learning of solution and concentration: An evidence-based practice. Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, 579– 584. https://doi.org/10.1109/IIAI-AAI.2017.118
Priyatno, D. (2009). Mandiri belajar SPSS. Yogyakarta: MediaKom.
Program. (2019a). Retrieved from https://www.dictionary.com/browse/program Program. (2019b). Retrieved from https://www.vocabulary.com/dictionary/program
Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for industry 4.0 and beyond. Procedia CIRP, 52, 173–178. https://doi.org/10.1016/j.procir.2016.08.005
Rahim, A., Safin, S. Z., Kheng, L. K., Abas, N., & Ali, S. M. (2016). Factors influencing purchasing intention of smartphone among university students. Procedia Economics and Finance, 37(16), 245–253. https://doi.org/10.1016/S2212-5671(16)30121-6
Ramadiani, Azainil, Haryaka, U., Agus, F., & Kridalaksana, A. H. (2017). User satisfaction model for e-learning using smartphone. Procedia Computer Science, 116, 373–380. https://doi.org/10.1016/j.procs.2017.10.070
309

Ramirez, G. M., Collazos, C. A., & Moreira, F. (2018). All-learning: The state of the art of the models and the methodologies educational with ICT. Telematics and Informatics, 35(4), 944–953. https://doi.org/10.1016/j.tele.2017.10.004
Reischauer, G. (2018). Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technological Forecasting and Social Change, (February), 0–1. https://doi.org/10.1016/j.techfore.2018.02.012
Riduwan. (2013). Skala pengukuran variabel-variabel penelitian. Bandung: Alfabeta.
Rotondi, V., Stanca, L., & Tomasuolo, M. (2017). Connecting alone: Smartphone use, quality of social interactions and well-being. Journal of Economic Psychology, 63, 17–26. https://doi.org/10.1016/j.joep.2017.09.001
Sánchez, J., Salinas, Á., & Harris, J. (2011). Education with ICT in South Korea and Chile. International Journal of Educational Development, 31(2), 126–148. https://doi.org/10.1016/j.ijedudev.2010.03.003
Santos, M. Y., & Jorge. (2017). A big data system supporting bosch braga industry 4.0 strategy. International Journal of Information Management, 37(6), 750–760. https://doi.org/10.1016/j.ijinfomgt.2017.07.012
Saurabh Vaidya, Prashant Ambad, S. B. (2018). Industry 4 . 0 – A glimpse. Procedia Manufacturing, 20, 233–238. https://doi.org/10.1016/j.promfg.2018.02.034
Semradova, I., & Hubackova, S. (2016). Teacher responsibility in distance education. Procedia - Social and Behavioral Sciences, 217, 544–550. https://doi.org/10.1016/j.sbspro.2016.02.042
Seo, W., & Choi, I.-C. (2014). The effect of using a smartphone application on middle school students’ english expression learning and satisfaction. Multimedia-Assisted Language Learning, 17(1), 34–57. Retrieved from http://journal.kamall.or.kr/wp-content/uploads/2014/04/Seo+Choi_17_1_02.pdf
Settles, G. S. (2018). Smartphone schlieren and shadowgraph imaging. Optics and Lasers in Engineering, 104, 9–21. https://doi.org/10.1016/j.optlaseng.2017.07.002
310

Shariffudin, R. S., Guan, C. H. J., Dayang, T., Mislan, N., & Lee, M. F. (2012).
Mobile learning environments for diverse learners in higher education.
International Journal of Future Computer and Communication, 1(1), 32–35. https://doi.org/10.7763/IJFCC.2012.V1.10
Sherrell, R. S. (2014). The contribution of college students‟ attachment styles and social media practices on their relationship development. College of Education and Human Performance at the University of Central Florida, Orlando, Florida, 160. https://doi.org/10.1017/CBO9781107415324.004
Síthigh, D. D. Mac. (2012). App law within: Rights and regulation in the smartphone age. Environmental Law.
So, S. (2016). Mobile instant messaging support for teaching and learning in higher education. Internet and Higher Education, 31, 32–42. https://doi.org/10.1016/j.iheduc.2016.06.001
Stotz, S., & Lee, J. S. (2018). Development of an online smartphone-based elearning nutrition education program for low-income individuals. Journal of Nutrition Education and Behavior, 50(1), 90–95.e1. https://doi.org/10.1016/j.jneb.2016.12.008
Sugiyono. (2009). Metode penelitian pendidikan. Bandung: ALFABETA, CV. Sugiyono. (2014). Metode penelitian manajemen. (Setiyawmi, Ed.). Bandung:
ALFABETA, CV.
Suharsimi Arikunto, & Yuliana, L. (2009). Manajemen pendidikan. Yogyakarta: Aditya Media bekerjasama dengan FIP UNY.
Suryawanshi, K., & Narkhede, S. (2015). Green ICT for sustainable development: A higher education perspective. Procedia Computer Science, 70, 701–707. https://doi.org/10.1016/j.procs.2015.10.107
Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137
311

Tan, W. K., Hsiao, Y. J., Tseng, S. F., & Chan, C. L. (2018). Smartphone application personality and its relationship to personalities of smartphone users and social capital accrued through use of smartphone social applications. Telematics and Informatics, 35(1), 255–266. https://doi.org/10.1016/j.tele.2017.11.007
Tecnopreneur, A. (2017). Penetrasi & perilaku pengguna internet Indonesia: Survey 2017. Retrieved from https://apjii.or.id/survei2017
Tikly, L. (2011). A roadblock to social justice? An analysis and critique of the South African education roadmap. International Journal of Educational Development, 31(1), 86–94. https://doi.org/10.1016/j.ijedudev.2010.06.008
Tindall, D. B., & Groenewegen, T. (2014). Social media and politics. (K. Harvey, Ed.). SAGE Publications, Inc.
Trilling, B., & Fadel, C. (2009). 21st century skills. Jossey-Bass, 256. https://doi.org/10.1145/1719292.1730970
Tsai, T. H., Tseng, K. C., & Chang, Y. S. (2017). Testing the usability of smartphone surface gestures on different sizes of smartphones by different age groups of users. Computers in Human Behavior, 75, 103–116. https://doi.org/10.1016/j.chb.2017.05.013
Tupa, J., Simota, J., & Steiner, F. (2017). Aspects of risk management implementation for industry 4.0. Procedia Manufacturing, 11(June), 1223–1230. https://doi.org/10.1016/j.promfg.2017.07.248
Van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015).
Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411–420. https://doi.org/10.1016/j.chb.2014.12.039
Verkijika, S. F. (2018). Understanding smartphone security behaviors: An extension of the protection motivation theory with anticipated regret. Computers & Security. https://doi.org/10.1016/j.cose.2018.03.008
Wahyudi, A. (2017). Indonesia, raksasa teknologi digital Asia. Retrieved from https://databoks.katadata.co.id/datablog/2017/01/24/indonesia-raksasa- teknologi-digital-asia
312

Wibowo, A. (2016). Manajemen pendidikan karakter di sekolah (konsep dan praktik implementasi). Yogyakarta: Pustaka Pelajar.
Widodo, J. (2017). Peraturan Presiden Republik Indonesia Nomor 87 Tahun 2017 Tentang Penguatan Pendidikan Karakter. Indonesia.
Wiyani, N. A. (2012). Manajemen pendidikan karakter: konsep dan implementasinya di sekolah. Yogyakarta: Pedagogia.
Wolniewicz, C. A., Tiamiyu, M. F., Weeks, J. W., & Elhai, J. D. (2017). Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Research, (May), 0–1. https://doi.org/10.1016/j.psychres.2017.09.058
Yahya, M. (2018). Era industri 4.0: Tantangan dan peluang perkembangan pendidikan kejuruan indonesia.
Yan, G., Rawat, D. B., Shi, H., & Alnusair, A. (2014). Developing and applying smartphone apps in online courses. Journal of Information Systems Education, 25(2), 149–159. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=lls&AN=101580412&si te=eds-live&scope=site
Yunendar, W. (2016). Pengembangan modul pembelajaran berbasis smartphone (android) pada mata pelajaran teknologi informasi dan komunikasi di SMA Negeri 2 Makassar, 44–53.
Zahn, C., Krauskopf, K., & Hesse, F. W. (2011). Digital media in the classroom: A study on how to improve guidance for successful collaboration and learning in student teams. Hongkong: International Society of the Learning Sciences (ISLS).
Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: A Review. Engineering, 3(5), 616–630. https://doi.org/10.1016/J.ENG.2017.05.015
-. (2011). Undang-Undang Republik Indonesia Nomor 12 Tahun 2011 Tentang Pembentukan Peraturan Perundang-Undangan, 201. Retrieved from http://sipuu.setkab.go.id/index.php
-. (2018a). Kebijakan. Retrieved from https://kbbi.web.id/bijak 313
-. (2018b). Regulasi. Retrieved from https://kbbi.web.id/regulasi
-. (2018c). Regulation. Retrieved from http://www.sinonimkata.com/sinonim-36152- regulation.html
citation:   Widarso, Sugeng and Hanum, Farida  (2020) Model Manajemen Program Pendidikan Karakter Berbasis Pemanfaatan Smartphone Untuk Sekolah Menengah dalam Era Revolusi Industri 4.0.  S3 thesis, Program Pascasarjana.   
document_url: http://eprints.uny.ac.id/70214/1/disertasi-sugeng%20widarso-16704261006.pdf