Article Per Year (5 Year)
p-Index From 2020 - 2025
3.137
P-Index
This Author published in this journals
All Journal JCES (Journal of Character Education Society) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Informatika Kaputama (JIK) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Pengabdian Masyarakat IPTEK Jurnal Sistem Komputer Triguna Dharma (JURSIK TGD) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD)
Elfitriani Elfitriani
STMIK Triguna Dharma
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Social Sciences

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

 1 
APLIKASI SISTEM PAKAR UNTUK MENDIAGNOSA LEBIH DINI PENYAKIT KOLERA PADA ANAK MENGGUNAKAN METODE K-NEAREST NEIGHBOR (KNN) Zaimah Panjaitan; Elfitriani Elfitriani; Widiarti Rista Maya; Cindi D Siahaan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 5, No 2 (2022): June 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i2.878

Abstract

Cholera is a disease that can be dangerous if not treated immediately. The main symptoms are diarrhea, shock, and seizures. Children with cholera need serious treatment from medical personnel. The problem that often occurs is that there are not many doctors who are experts in this field, plus for people who are far from urban areas such as people who live in mountainous areas or remote villages it is very unlikely to be able to consult a doctor due to distance, cost and time factors. This study aims to build an expert system application that is able to diagnose cholera in children early by applying the K-Nearest Neighbor (KNN) method, so that people, especially those who are far from urban areas, can find out more about cholera in children so that it can be treated more quickly. The KNN method can be implemented in a system that adopts the ability of experts to diagnose cholera in children. In applying the KNN method, symptom initialization is carried out by entering the density value and looking for the combination confidence value to get the diagnostic result. From this research, it can be concluded that the application that was built can be used to replace experts in helping to diagnose cholera in children early.
IMPLEMENTASI SISTEM PAKAR DIAGNOSIS PENYAKIT GANGGUAN SARAF ISKEMIK PADA MANUSIA MENGGUNAKAN METODE CERTAINTY FACTOR Darjat Saripurna; Nurcahyo Budi Nugroho; Faisal Taufik; Elfitriani Elfitriani; Widiarti Rista Maya
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 5, No 1 (2022): February 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i1.806

Abstract

Gangguan saraf iskemik merupakan  salah satu penyakit saraf  yang disebabkan  oleh kurangnya suplai darah ke otak sehingga kebutuhan darah didalam otak tidak terpenuhi. Kondisi ini dapat disebabkan beberapa penyakit komplikasi diantara nya hipertensi. Secara umum gangguan saraf iskemik ini dapat berisifat ringan, sedang dan akut. Kurangnya informasi tentang penyebab dan gejala terkait penyakit ini membuat masyarakat sulit melakukan pencegahan serta lambatnya proses penanganan penyakit gangguan saraf iskemik membuat angka kematian terhadap penyakit ini semakin meningkan.Melihat situasi yang terjadi maka dirancang sebuah Sistem Pakar yang mampu menerapkan metode Certainty Factor untuk mendiagnosa jenis penyakit gangguan saraf iskemik berdasarkan gejala-gejala klinis yang dirasakan oleh pasien, proses penerapan nya dengan terlebih dahulu mengumpulkan basis pengetahuan, kemudiann melakukan penelusurah inferensi Forward Chaining terhadap rule-rule yang ada dan selanjutnya melakukan proses perhitungan metode Certainty Factor untuk mengetahui  nilai probabilitas dan jenis penyakit Gangguan Saraf Iskemik.Dengan adanya Sistem Pakar ini diharapkan dapat memberikan kemudahan kepada masyarakat maupun dokter untuk berinteraksi dan dalam pengambil kesimpulan penyakit gangguan saraf iskemik dan sebagai diagnosa awal.
Co-Authors A, Azanuddin Ahmad Fitri Boy Amrullah Amrullah Arbiyani Arbiyani Badi Duwinda Darmala Beni Andika Cindi D Siahaan Darjat Saripurna Dedi Setiawan Dicky Nofriansyah Dila Maghfirah Harahap Egi Dirga Sebayang Faisal Taufik Febry Andy Saragih Fitra Alami Ndruru Hafizah Hafizah Hutagalung, Juniar Ita Mariami Ita Morina Br Purba kamil erwansyah Khairi Ibnutama M Anastasya Christina M Muhammad Syahril Muhammad Zunaidi Noverman Ndruru Novri Ckristina Florensa Nainggolan Nurcahyo Budi Nugroho Otriani Zendrato Rina Mahyuni Rini Kustini Robby Pratama Rudi Gunawan Saniman Saniman Sri Murniyanti Suardi Yakub Trinanda Syahputra Tugiono Tugiono Widiarti Rista Maya Yohanni Syahra Zaimah Panjaitan Zulfian Azmi