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All Journal Journal of Information System and Technology (JOINT) Jurnal Sistem Informasi dan Manajemen
Juliantio, Juliantio
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Implementasi Big Data terhadap Pengecekan Medis dan Konsultasi Kesehatan di Indonesia Saudjhana, Audrey; Budiman, Arif; Fernando, Harley; Juliantio, Juliantio; Junianto, Kendy; Venessa, Kisusyenni; Salim, Steven; Tomy, Tomy
Journal of Information System and Technology (JOINT) Vol. 5 No. 1 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i1.4323

Abstract

The occurrence of the Covid-19 pandemic tests the resilience of the health service system in countries around the world, especially Indonesia, in responding and acting quickly and appropriately. This incident is a separate evaluation of the health service system in this country. As part of the global action plan to achieve Sustainable Development Goals (SDGs) point number 3, namely ensuring a healthy life and supporting welfare for all and efforts to improve public health as measured by the Public Health Development Index (IPKM), therefore, an increase in quality of health services is needed. The quality of health services includes issues of performance and affordability among society. With the development of innovations in database technology aspect, namely big data and artificial intelligence, it is hoped that this can be a breakthrough in the world of Indonesian health so that the goals of Indonesia in improving public health can be achieved.
PERANCANGAN DAN ANALISIS VIDEO DOKUMENTER PRODUK EKSPOR TURUNAN KELAPA DENGAN METODE MDLC Pratama, Jimmy; Juliantio, Juliantio
JURSIMA Vol 10 No 3 (2022): Jursima Vol.10 No.3
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.496

Abstract

Produk ekspor turunan kelapa merupakan sekumpulan produk-produk olahan asli dari tanaman kelapa yang diproses melalui beberapa metode. Pada dasarnya, produk-produk ini telah diolah sehingga bentuknya sudah tidak dapat dikenali lagi oleh khalayak umum. Dari segi nilai jual, produk-produk ini memiliki harga yang menjanjikan dipasar internasional sehingga ekspor adalah jalur perdagangannya. Mungkin produk-produk ini sering kita temui tetapi tidak diketahui asal usulnya, tingkat ekspornya di Indonesia juga masih tergolong minim. Dengan adanya penelitian ini, harapannya dapat memberikan pengetahuan dan cerita dibalik produk-produk ekspor turunan kelapa secara kreatif dan sinematik serta mengedukasi para penonton. Metode yang digunakan yaitu pendekatan kualitatif dengan model pengembangan MDLC yang dilakukan dengan mewawancarai 6 WNI yang berprofesi sebagai pengolah produk turunan kelapa. Harapannya hasil daripada penelitian ini dapat mengembangkan wawasan masyarakat khususnya pelaku eksportir kelapa agar ekspor produk turunan kelapa dapat meningkat dengan signifikan. Penelitian ini melakukan analisis berupa uji ahli isi terhadap 2 orang ahli produk turunan kelapa dan uji ahli media terhadap 2 orang ahli multimedia menggunakan rumus gregory, Adapun uji respon penonton terhadap 35 orang eksportir kelapa yang menggunakan skala likert. Hasil dari uji ahli isi dan ahli media berupa "1,00" dan uji respon penonton mendapatkan hasil "92,00%" terhadap video dokumenter ini.
Implementasi Big Data terhadap Pengecekan Medis dan Konsultasi Kesehatan di Indonesia Saudjhana, Audrey; Budiman, Arif; Fernando, Harley; Juliantio, Juliantio; Junianto, Kendy; Venessa, Kisusyenni; Salim, Steven; Tomy, Tomy
Journal of Information System and Technology (JOINT) Vol. 5 No. 1 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i1.4323

Abstract

The occurrence of the Covid-19 pandemic tests the resilience of the health service system in countries around the world, especially Indonesia, in responding and acting quickly and appropriately. This incident is a separate evaluation of the health service system in this country. As part of the global action plan to achieve Sustainable Development Goals (SDGs) point number 3, namely ensuring a healthy life and supporting welfare for all and efforts to improve public health as measured by the Public Health Development Index (IPKM), therefore, an increase in quality of health services is needed. The quality of health services includes issues of performance and affordability among society. With the development of innovations in database technology aspect, namely big data and artificial intelligence, it is hoped that this can be a breakthrough in the world of Indonesian health so that the goals of Indonesia in improving public health can be achieved.
Co-Authors Arif Budiman Fernando, Harley Junianto, Kendy Pratama, Jimmy Salim, Steven Saudjhana, Audrey Tomy Tomy Venessa, Kisusyenni