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All Journal Seminar Nasional Informatika (SEMNASIF) JURNAL INTEGRASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING SENTIA 2017 Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Jurnal Ilmu Komunikasi Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Informatika: Jurnal Pengembangan IT
Mira Chandra Kirana
Politeknik Negeri Batam
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Visualisasi Kualitas Penyebaran Informasi Gempa Bumi di Indonesia Menggunakan Twitter Mira Chandra Kirana; Nanda Putra Perkasa; Muhammad Zainuddin Lubis; Maidel Fani
Journal of Applied Informatics and Computing Vol 3 No 1 (2019): Juli 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1283.099 KB) | DOI: 10.30871/jaic.v0i0.1246

Abstract

Indonesia is one country with a high level of natural disasters, such as earthquakes, so the dissemination of information about early warning is very important.. Social media Twitter became one of the places of broadcasting information about earthquake disaster early instruction in Indonesia through BMKG account. However, the quality of information from Twitter's social media is unknown, therefore visualization is made to analyze the quality of information with Twitter social media. This research is done in three stages: retrieving, preprocessing and visualization. Retrieval process to capture BMKG Tweet account data on Twitter. Preprocessing phase of work to get the results of the analysis of the quality of earthquake information. After that done data processing timeliness, relevance, completeness of data along with the accuracy of data created based on graphical visualization information.
Klasifikasi Penyakit Hipertensi dan Diabetes Berbasis Web Pada Klinik Pratama Rumkitban 01.08.03 Batam Mira Chandra Kirana; Michel K
Journal of Applied Informatics and Computing Vol 5 No 1 (2021): July 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i1.3034

Abstract

The management of outpatient medical records at the Rumkitban Primary Clinic 01.08.03 Batam is still manual and causes many limitations and problems. This problem resulted in the inability of the clinic to run the Chronic Disease Treatment Program (PROLANIS) organized by BPJS-Health. The purpose of the study is to facilitate data processing and then from that data it can be used to classify hypertension and diabetes then the results of the classification are displayed in graphical form. This study discusses 2 diseases, namely hypertension and diabetes. The system uses the C45 Tree Decision Algorithm for automatic data processing. The attributes used are glucose, diastolic, systolic, insulin, and age to support the decision-making system. The system can make a decision whether the patient has hypertension, diabetes or not. The results of this study are the accuracy of classification accuracy in the system for hypertension shows 16.667% accuracy and 83.333% accuracy is not correct, then the calculation of diabetes classification accuracy shows 96.667% accuracy, and 3.333% accuracy is incorrect. This system is integrated with Mysql database to store the results.
Co-Authors Afdhol Dzikri Agus Fatulloh Ahmad Hamim Thohari Ahmad Hamim THohari Amir Amir Anni Anni Ardiman Firmanda Ari Wibowo Condra Antoni Deni D Dodi Prima Resda Dodi Prima Resda Dwi Ely Kurniawan Dwi Ely Kurniawan Ela Erminawati Etisa, Landong Moral Ferdiansyah Himawan Festy Winda Sari Finkye Priya Gunadi Hamdani Arif Hamdani Arif Heru Wijanarko Maidel Fani Maidel Fani Maidel Fani Metta Santipurti Metta Santiputri Michel K Muchammad Fajri Amirul Nashrullah Muchammad Fajri Amirul Nashrullah Muhammad Idris Muhammad Ilham Saputra Muhammad Nashrullah Muhammad Nashrullah Muhammad Nashrullah Muhammad Zainuddin Lubis Nanda Putra Perkasa Nelmiawati Nelmiawati Nelmiawati Nelmiawati Neta, Fandy Novitasari Novitasari Nur Cahyono Kushardianto Purnamasari, Dwi Amalia Riki Riki Rina Yulius Rina Yulius Rizky Pratama Hudhajanto Rizky Pratama Hudhajanto Robby Yassar Affan Rokhayati, Yeni Roza Puspita Sartikha, Sartikha Satria Bayu Aji Siahaan, Arta Uly Siskha Handayani, Siskha Supardianto Supardianto Uuf Brajawidagda Yosi Handayani