Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) is a research journal in the field of communication and information technology published by Balai Pengembangan Sumber Daya Manusia dan Penelitian (BPSDMP) Kominfo Yogyakarta. Jurnal IPTEK-KOM is a peer-reviewed scientific journal.

Jurnal IPTEK-KOM focuses on information and communication technology, media and communication studies, and digital public policy. For more detail please check The Focus and Scope page.

Jurnal IPTEK-KOM is published twice a year, in June and December. Submission for articles can be sent all year round, involving competent Mitra Bestari (reviewers) in the relevant field. Jurnal IPTEK-KOM has been accredited ) by the Ministry of Research, Technology, and Higher Education of Republic Of Indonesia with accreditation number 148/E/KPT/2020, August, 3th 2020. 

Jurnal IPTEK-KOM has been accredited as SINTA 2

Accreditation valid from Vol 21 No. 2 December 2019.

p - ISSN : 1440 - 3346

e - ISSN : 2527 - 4902

 

Jurnal IPTEK-KOM has been indexed by:

 

Authors may download Journal Template and Writing Guideline. Authors who have been accepted should sign Publication Ethics Statement

 

Vol. 24 No. 2 (2022): Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi)

Published: 2023-01-04

The Role of Social Media Utilization and Innovativeness on SMEs Performance

Agus Dedi Subagja, Abu Muna Almaududi Ausat; Suherlan Suherlan

85-102

|Abstract views: 160 | pdf Download: 148 |
https://doi.org/10.17933/iptekkom.24.2.2022.85-102
|Abstract views: 200 | PDF (Bahasa Indonesia) Download: 148 |
https://doi.org/10.17933/iptekkom.24.2.2022.103-116
|Abstract views: 102 | PDF (Bahasa Indonesia) Download: 87 |
https://doi.org/10.17933/iptekkom.24.2.2022.117-134
|Abstract views: 171 | PDF (Bahasa Indonesia) Download: 198 |
https://doi.org/10.17933/iptekkom.24.2.2022.135-146
|Abstract views: 175 | PDF (Bahasa Indonesia) Download: 91 |
https://doi.org/10.17933/iptekkom.24.2.2022.147-160

Analisis Sentimen Masyarakat terhadap Kebijakan Vaksinasi Covid-19 di Indonesia pada Twitter Menggunakan Algoritma LSTM

Laila Marifatul Azizah, Dimas Bagas Ajipratama, Nisrina Akbar Rizky Putri, Cahya Damarjati

161-172

|Abstract views: 102 | PDF (Bahasa Indonesia) Download: 95 |
https://doi.org/10.17933/iptekkom.24.2.2022.161-172
|Abstract views: 110 | PDF (Bahasa Indonesia) Download: 104 |
https://doi.org/10.17933/iptekkom.24.2.2022.173-186
|Abstract views: 158 | PDF (Bahasa Indonesia) Download: 677 |
https://doi.org/10.17933/iptekkom.24.2.2022.187-200
|Abstract views: 83 | PDF (Bahasa Indonesia) Download: 94 |
https://doi.org/10.17933/iptekkom.24.2.2022.200-215
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