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S. Kunto Adi Wibowo
Fakultas Ilmu Komunikasi Universitas Padjadjaran
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Transportation Other

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Journal : SINTECH (Science and Information Technology) Journal

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APLIKASI MHEALTH COVID-19 DI INDONESIA: ANALISIS KONTEN MENGGUNAKAN MOBILE APLICATION RATING SCALE (MARS) Maharani Bening; Kunto Adi Wibowo; Ikhsan Fuady
SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i2.889

Abstract

It has been a year since the first COVID-19 cases in Indonesia and the development of COVID-19 health applications has grown significantly during that time. However, there has not been found research to analyze such an application in Indonesia. This study aims to evaluate the mHealth COVID-19 application in Indonesia application store, which will eventually become a reference for all researchers related to the mhealth application development in Indonesia. The researchers used COVID-19-related keywords to identify apps on iOS and Android devices. There were 17 applications selected for this research, and the applications' quality were assessed by two coders using the Mobile App Rating Scale (MARS). The search results totaled 842 applications, 19 of which met the researcher's criteria, and 17 applications were found to be assessed. This research was using the Krippendorff coefficient alpha (α) to calculate the reliability value of the agreement between coders. The result showed that PeduliLindungi applications had the highest (4.2/5) of the average MARS score, and the MARS scores of 14 applications were unacceptable (<3.0), which explained that most of the COVID-19 related apps in Indonesia are of low quality. Also, this research implies that the information-related features should be the next focus for overall quality improvement of the Indonesian mHealth application in the future.    
Co-Authors Aaliyah Aulia Rivai Abdullah, Fathan Auzan Adiprasetio, Justito Alicia Laurence Efendi Aliifa, Dzikrifa Ningtyas Alyssa, Luthfia Nur Arshad Denanindra Hutomo Arum, Yumna Nahdah Asep Suryana Azman Hamdika Syafaat Bianti, Sabila Riska Brigitta Jocelyn Septiandra Catherine Novitasari Sihaloho Dadang Rahmat Hidayat Dafina Shafa Salsabil Darmansyah, Sarah Stephanie Detta Rahmawan Detta Rahmawan, Detta Engkus Kuswarno Eni Maryani Erlambang, Muhammad Fandy Esther Aurellia Christie Fadhia Hayya, Aqiella Fajar, Hafizhah Ainul Fauzi, Muhammad Ilham Galuh Aulia Ramadhanti Henny Sri Mulyani Rohayati Hertantiningsih, Tifanny Hilmi Dafa Rabani Ikhsan Fuady Ira Mirawati Iwan Iwan Izzati, Raihan Sabili Jasmin Jannatania Kholifatul Mafiroh Kimberly Batsheva Lasut M Aulia Akbar Maharani Bening Maharani Dewanti Setiaputri Meidita, Chairunnisa Tri Moch Armien Syifaa Sutarjo Muhammad Fandy Erlambang Naftalene, Eliza Najma Najma Pandan Yudhapramesti Priyatna, Adry Alim Pudyaning Putri Noor Qolbi Purnomo, Chyntia Dewi Ramadhina, Az-zahra Mutiara Syofi Ratih Anbarini Reksa Anggia Ratmita Rifki Nur Priyansyah Salsabil, Dafina Shafa Shanti, Ni Ketut Rahma Pratiwi Sihite, Manda Chrisencia Simanjuntak, Clesia Sari Mastiur Sri Seti Indriani Suka, Kiran Rianetta Ginting Syafirah, Nuryah Asri Theogene, Rutambuka Wibowo, Damar Dhiyaan Hafidz Winata, Cecilia Liusca Yusril Zafallah