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Journal : Faktor Exacta

SISTEM BERBASIS CLOUD COMPUTING UNTUK IDENTIFIKASI RESEP DOKTER “BARSEP” Irwansyah Saputra; ANDI SARYOKO; GANDA WIJAYA; MEILYNDA TRISIANA; ASEP MULYANA; DANDI YUSBIAL BAYANI; DHARMA WINATA; VILSAFA KHOIRUNNISAK
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7569

Abstract

A doctor's prescription is a doctor's written request to the pharmacist to prepare and give medicine to the patient. Prescriptions are made according to the needs of the patient after the doctor has examined and diagnosed the patient. However, doctor’s writing on a prescription that considered unclear can cause errors when compounding / preparing the drug and using prescribed drugs. In fact, the cure rate and life expectancy of patients is directly proportional to the administration of the right medicine. This study aims to prevent errors in the process of identification of prescription drugs by pharmacists. The technology used is cloud computing with the PHP 7.1.3 programming language, Laravel framework, and database storage using MySQL. BarSep application works by adding QR Code on recipe paper. The QR Code contains patient examination information including patient data, prescription drugs, and diagnoses, so that when the pharmacist scans the QR Code, the system will display all patient information that has been inputted by the doctor at the time of the examination. The results obtained from the implementation of the BarSep application at the Rapha Farma Pharmacy is BarSep applications effective for tackling errors in reading doctor's prescriptions that can save patients from medication errors. A doctor's prescription is a doctor's written request to the pharmacist to prepare and give medicine to the patient. Prescriptions are made according to the needs of the patient after the doctor has examined and diagnosed the patient. However, doctor’s writing on a prescription that considered unclear can cause errors when compounding / preparing the drug and using prescribed drugs. In fact, the cure rate and life expectancy of patients is directly proportional to the administration of the right medicine. This study aims to prevent errors in the process of identification of prescription drugs by pharmacists. The technology used is cloud computing with the PHP 7.1.3 programming language, Laravel framework, and database storage using MySQL. BarSep application works by adding QR Code on recipe paper. The QR Code contains patient examination information including patient data, prescription drugs, and diagnoses, so that when the pharmacist scans the QR Code, the system will display all patient information that has been inputted by the doctor at the time of the examination. The results obtained from the implementation of the BarSep application at the Rapha Farma Pharmacy is BarSep applications effective for tackling errors in reading doctor's prescriptions that can save patients from medication errors.                                                 
Co-Authors Abdul Aziz Agus Junadi Agus Junaidi Agustiani, Sarifah Ali Mustopa, Ali Andini, Siwi Putri Anggraeni Putri, Sukmawati Ardiansyah Arfhan Prasetyo Arie Kurniawan Aryo Tunjung Kusumo ASEP MULYANA Aziz, Faruq Budi Santoso, Satrio DANDI YUSBIAL BAYANI Daryati, Elisabeth Isti Dea Amelia Desty Anggraeni DHARMA WINATA Dicky Kurniawan, Muhammad Donna Setiawati Dwiantoro, Tino Dwiyogo, Santos Winarso Eka Saputra, Bagas Eliyana, Instianti Eni Pudjiarti Erna, Maria Agustina Evita Fitri Fitrayuda Rivaldy Fitri, Evita Ganda Wijaya Ganda Wijaya Ginanjar, Syaiful Gustin Setyaningsih Hadi Sukmana, Sulaeman Haryani Hendri Hendri Hendri Hendri Hendri Hendri Ida Ayu Putu Sri Widnyani Instianti Elyana, Instianti Irwansyah Saputra Junior, Mario Christian Kresna Ramanda Kurniyawantoro, Kurniyawantoro Kusumo, Aryo Tunjung Lawrence Adi Supriyono Lia Nurmalia Linda Marlinda Lutfiyah Lutfiyah Mawadatul Maulidah MEILYNDA TRISIANA Melan Susanti Melan Susanti, Melan Miftahul Janah, Miftahul Mohammad Badrul Muhammad Farhan Muhammad Suparmono Mono Muzakki Ramadhan, Naufal Nadiyah Hidayati Nugraha, Siti Nurhasanah Nur Kholis Nurul Khasanah Nurul Khasanah, Nurul Panca Saputra, Elin Priyono Priyono Putri, Ayu Berlianda Rahmat Hidayat Rahmat Hidayat Ramadhan, Aditya Rian Retno Sari Retno Sari Retno Sari Retno Sari Reto Sari Riani, Riska Ridwansyah Ridwansyah Ridwansyah Ridwansyah Ridwansyah Ridwansyah Riska Aryanti Rismaya, Siska Rizki Wahyudi Rizky, MHD Rosyda, Susy S.M Santi Winarsih Saeda, Ida Samudi Samudi Saputara, Elin Panca Saputra, Bagas Eka Sarah Khairunnisa Budiyanto Sartini Sartini Sartini Sartini Sartini Seimahuira, Syarah Shafar, Rizki Muhammad Sholihin Muttaqin Simanjuntak, Rezin Siti Faizah Siti Helmyati Siti Khotimatul Wildah Siti Nurhasanah Nugraha Sopiyan Dalis Sri Rahayu Susafa'ati Susy Rosida Susy Rosyda Susy Rosyida Syara Chintya Dewi Taopik Hidayat Verry Rianto VILSAFA KHOIRUNNISAK Wadu, Novita M Kana Wahyudin Wahyudin Wahyudin Wahyudin Windu Gata Yustin Anggraheni Putri, Yustin Anggraheni