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All Journal Jurnal Peternakan Integratif Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Seminar Nasional Informatika (SEMNASIF) Sistemasi: Jurnal Sistem Informasi Jurnal Pilar Nusa Mandiri INOVTEK Polbeng - Seri Informatika Justek : Jurnal Sains Dan Teknologi Jurnal Tekno Insentif J-SAKTI (Jurnal Sains Komputer dan Informatika) Infotronik : Jurnal Teknologi Informasi dan Elektronika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi JURSIMA (Jurnal Sistem Informasi dan Manajemen) Santika : Jurnal Ilmiah Sains dan Teknologi Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Community Empowerment Jurnal Restikom : Riset Teknik Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Putra Indonesian Journal of Community Services in Engineering & Education (IJOCSEE) Jurnal Peternakan Integratif JURSIMA Research Horizon Jurnal Sistem Informasi dan Manajemen Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Integrated : Journal Of Information Technology and Vocational Education
falentino sembiring
Nusa Putra University
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Journal : Progresif: Jurnal Ilmiah Komputer

 1 
Perancangan Sistem Pakar Berbasis Web Menggunakan Case Based Reasoning Untuk Diagnosa Dini Covid-19 Mega Lumbia Sinaga; Dudih Gustian; Falentino Sembiring
Progresif: Jurnal Ilmiah Komputer Vol 17, No 2: Agustus 2021
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.337 KB) | DOI: 10.35889/progresif.v17i2.646

Abstract

AbstrackThe COVID-19 pandemic has a profound impact on many aspects of people's lives. Various ways are being sought to help resolve the spread of COVID 19. The addition of new symptoms that have continued to vary from the beginning to the present has made the public more and more anxious. The symptoms that are felt are usually difficult for the general public to self-diagnose, making it difficult for the public to take preventive action. This paper presents a Web-based expert system model to diagnose Covid-19 early using the Case Based Reasoning Method to help the public diagnose Covid 19 early. Application testing is carried out by comparing the diagnostic results of expert system applications with expert opinions. The test results on 6 sample cases show that the application can diagnose all cases according to expert opinion.Keywords: Expert System, COVID-19, Case Based ReasoningAbstrakPandemi COVID-19 menimbulkan dampak bagi banyak sendi kehidupan kemasyarakat. Berbagai cara diupayakan untuk membantu menyelesaikan penyebaran COVID 19. Bertambahnya gejala-gejala baru yang terus bervariasi sejak awal hingga saat ini membuat masyarakat semakin was-was. Gejala-gejala yang dirasakan biasanya sulit untuk didiagnosa sendiri oleh masyarakat awam, sehingga sulit bagi masyarakat melakukan tindakan pencegahan. Paper ini menyajikan model sistem pakar berbasis Web untuk mendiagnosa secara dini Covid-19 menggunakan Metode Case Based Reasoning untuk membantu masyarakat mendiagnosa dini Covid 19. Pengujian aplikasi dilakukan dengan membandingkan hasil diagnosa aplikasi sistem pakar dengan pendapat pakar. Hasil uji terhadap 6 sampel kasus menunjukkan aplikasi dapat mendignosa keseluruhan kasus sesuai pedapat pakar.Kata kunci: Sistem Pakar, COVID-19, Case Based Reasoning
Implementasi K-Means Dalam Pengelompokan Penyebaran COVID-19 di Jawa Barat Muhammad Wildan Goni; Dudih Gustian; Falentino Sembiring
Progresif: Jurnal Ilmiah Komputer Vol 17, No 2: Agustus 2021
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.46 KB) | DOI: 10.35889/progresif.v17i2.648

Abstract

AbstractConfirmed cases of the COVID-19 virus that are still unstable, as well as the comparison of total confirmed and total recoveries are quite far, which if not treated quickly will cause the number of people exposed to be increasing. This article aims to test the K-Means algorithm in grouping the spread of Covid-19 in West Java. The grouping was carried out based on confirmed parameters, isolated/under treatment, completed isolation/recovered and died from each area in West Java Province. K-means performs clustering in 3 clusters, namely the high distribution cluster (C1), the moderately distributed cluster (C2) and the lightly distributed cluster (C3). Based on the results of system analysis and testing, there are 2 regions in the high distribution cluster (C1), 6 regions for the medium distribution cluster (C2), and 19 regions for the low distribution cluster (C3).Keywords: Spread of COVID-19, K-Means Algorithm, Grouping AbstrakKasus terkonfirmasi virus COVID-19 yang masih belum stabil, serta perbandingan total terkonfirmasi dan total sembuh cukup jauh, dimana jika tidak segera ditangani dengan cepat akan menyebabkan jumlah orang yang terpapar menjadi semakin banyak. Artikel ini bertujuan untuk menguji algoritma K-Means dalam pengelompokan penyebaran Covid-19 di Jawa Barat. Pengelompokkan dilakukan berdasarkan parameter terkonfirmasi, isolasi/dalam perawatan, selesai isolasi/sembuh dan meninggal dari masing-masing daerah yang ada di Provinsi Jawa barat. K-means melakukan klasterisasi dalam 3 cluster yaitu cluster penyebaran tinggi (C1), cluster penyebaran sedang (C2) dan cluster penyebaran ringan (C3). Berdasarkan hasil analisis dan pengujian sistem, daerah yang masuk ke cluster penyebaran tinggi (C1) sebanyak 2 daerah, untuk cluster penyebaran sedang (C2) sebanyak 6 daerah, dan cluster penyebaran rendah (C3) sebanyak 19 daerah.Kata kunci: Penyebaran COVID-19, Algoritma K-Means, Pengelompokan
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Adhitia Erfina Adithia Erfina Afriansah, Ari Ahmadi, Muhammad Iqbal Alun Sujjada Alyanissa Putri Iskandar Ana Khusnul Khotimah Anak Agung Gede Sugianthara Anti Aprianti Anton Perman Arif Saripudin Arny Lattu Astrina Natalia Sihite Ati Sulastri Atto Mustopa Aura Rahman Ayuningsih, Rieska Rahayu Carti Irawan Dea Destika Dea Siti Rahima Juliansa Dede Sukmawan Dery Ahmad Kamalino Destria Ariani, Nunik Dian Permata Sari Dian Permata Sari Dian Permata Sari Dudih Gustian Dwi Putri Sulisdianto Edhy Mirwandhono Enggar Irawan Erfina, Aditya Erip Suratno Fahmi rosyadi, Muhammad Fauziani Tanzil Febia Nurfitriani Febriansyah Febriansyah Hamdan Hihin Nurhayati Ibnu Ngatoilah Intan Min Warokil Janah IVANA LUCIA KHARISMA Juhdi Rosadi Juhdi Rosadi Kamila Aprilia Karim, Khobir Abdul Kurniawan Lutfia Salim Mayang Gunawan Mega Lumbia Sinaga Meutia Riany Mila Kartika Mohamad Tegar Fauzi Mohammad Daniel Gumilar Muchtar Jamy F Muhammad Ikhsan Thohir Muhammad Iqbal J Muhammad Iqbal Jauharuzzaman Muhammad Renaldi A Muhammad Wildan Goni Mukti Ginanjar Murweni, Ira Muslih, Muhamad Nieka Julyana Nunik Destria Nunik Destria Arianti Nur Hidayah K. Fadhilah Nurfitriani, Febia Nurhafida, Selva Indah Octaviana Octaviana Punggarawati, Nika Purnamasari, P Putri Ulil Fatma Aulia Rahmat Hidayat raras Rehaeni Atipah Rida Ista Stepu Rifal Nurjamil Riswandi, Wildan Rosalinda Hakim Sabrina Sabrina Fauziah Saepudin, Sudin Salsa Lisna Audina Salwa Sherenian Sastradiparaja, Cecep Kurnia Sastradipraja, C K sendi indra Sihabudin Sihabudin, Sihabudin Siti Khalifah Siti Nurjanah Siti Sarah Sobariah Lestari Siti Sumayah Solihin, Hanhan Hanfiah Syifaul Fuada Vemi Januarita Putri Wafa Nur’aeni Wahyu Irwan Putra Warman Warman Widiastuti Angraini Widya, Sagita Wisuda Jatmiko Wulan Alinda Wahyuni Yanti Jentiner Yayatillah Rubiati Yesi Yoga Vikriansyah Yopi Setiawan Zalukhu, Sukmardin