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Record W2948345917 · doi:10.36002/jutik.v3i2.289

PERANCANGAN SISTEM INTERAKTIF BERBASIS ANDROID UNTUK MEMBANTU PROSES PENCATATAN DALAM PENEGAKAN DIAGNOSIS PENYAKIT INFEKSI VIRUS PADA ANAK DI POLI ANAK RUMAH SAKIT UMUM DAERAH (RSUD) WANGAYA KOTA DENPASAR

2018· article· en· W2948345917 on OpenAlexaff
I Made Sriundy Mahardika, Bambang Hadi Kartiko, Gerson Feoh

Bibliographic record

VenueJurnal Teknologi Informasi dan Komputer · 2018
Typearticle
Languageen
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolyclinicMedicineFamily medicine

Abstract

fetched live from OpenAlex

ABSTRACT The process of recording the diagnosis of viral infection in children in the polyclinic of Wangaya Hospital is still using manual method. The development of information technologyincreasingly advanced to the health world. With the application of technology in the world ofhealth will be able to facilitate in performing services to patients. However, with the developmentof technology, a system is needed to facilitate medical staff to provide medical services to patients.To answer those needs, an interactive system was built to help record the diagnosis of viraldisease in children. This interactive system is designed based on Android using the programminglanguage PHP and uses a database of MYSQL. The workings of this interactive system is byasking questions such as symptoms or complaints experienced by the patient, then this system willmake the process of analysis based on the percentage likelihood of a diagnosis of the patient'sillness. This interactive system can help record the diagnosis of viral infection. In addition toshowing the results of diagnosis, the system can also display the definition of each viral infectiousdisease in children, which has been inputted into the database application.Keywords: Interactive System, Android, Diagnosis of Virus Infections on Children ABSTRAK Dalam melakukan pencatatan diagnosis infeksis virus pada anak di poliklinik anak di RSUDWangaya masih menggunakan cara manual. Perkembangan teknologi informasi semakinberkembang hingga ke dunia kesehatan. Dengan adanya teknologi dalam dunia kesehatan akanmempermudah dalam melakukan pelayanan kepada pasien. Dengan perkembangan teknologi maka sangat di perlukan suatu sistem yang akan mempermudah petugas medis dalam memberikanpelayanan medis kepada pasien.Sistem interaktif dibangun bertujuan untuk membantu pencatatandiagnosis penyakit virus pada anak. Sistem interaktif ini di rancang berbasis Android denganmenggunakan bahasa pemrograman PHP dan menggunakan database dari MYSQL. Cara kerjasistem interaktif ini adalah dengan memberikan pertanyaan berupa gejala-gejala atau keluhan yangdi alami oleh pasien, lalu sistem ini akan melakukan proses analisis berdasarkan presentasekemungkinan diagnosis dari penyakit pasien tersebut. Sistem interaktif ini akan dapat membantupencatatan hasil diagnosis penyakit infeksi virus. Selain menampilkan hasil diagnosis sistem inijuga dapat menampilkan definisi dari setiap penyakit infeksi virus pada anak yang telah diinputkedalam database aplikasi. Kata Kunci : Sistem Interaktif, Android, Diagnosis Penyakit Infeksi Virus pada Anak

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.013

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.257
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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