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All Journal JCES (Journal of Character Education Society) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH 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)
Zaimah Panjaitan
STMIK Triguna Dharma
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Social Sciences

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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.
APPLICATION OF THE MOORA METHOD IN THE DECISION SUPPORT SYSTEM FOR SELECTING THE BEST FONT AUTHORS ON ABLY CREATIVE FONT Hafizah Hafizah; Tugiono Tugiono; Zaimah Panjaitan; Amrullah Amrullah; Dedi Setiawan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 1 (2023): February 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i1.1202

Abstract

ABLY Creative Font adalah marketplace yang menyediakan jasa Creative Font yang saat ini belum memiliki standarisasi penilaian dalam pemilihan calon Font Authors terbaik yang layak diterima. Proses penerimaan calon Font Authors hanya didasarkan pada penilaian individual dari founder ABLY Creative Font yang menyeleksi berkas secara langsung. Hal ini berimbas pada kualitas Font Authors yang diterima belum sesuai dengan keinginan ABLY Creative Font. Untuk itu dibutuhkan sebuah sistem yang dapat menyajikan penilaian yang objektif dalam penentuan calon Font Authors terbaik. Sistem Pendukung Keputusan (SPK) merupakan sistem berbasis komputer yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi, instansi ataupun perusahaan. Metode MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) merupakan metode multi objektif sistem yang mengoptimalkan dua atau lebih atribut yang saling bertentangan secara bersamaan. Hasil penerapan SPK metode MOORA memberikan penilaian yang objektif berdasarkan kriteria penilaian penentuan kelayakan penerimaan Font Authors terbaik yang akan diterima di ABLY Creatif Font.
Co-Authors Amrullah Amrullah Cindi D Siahaan Dedi Setiawan Deski Helsa Pane Elfitriani Elfitriani Erry Oktavia Evita Dwi Aprisa Fifin Sonata Firahmi Rizky Ginting, Erika Fahmi Hafizah Hafizah Khairi Ibnutama M. Syaifuddin Masyuni Hutasuhut Mhd Gilang Suryanata Muhammad Fikhri Rafli Nur Yanti Luman Gaol Nurcahyo Budi Nugroho Rini Ariati Rini Kustini Siti Julianita Sri Kusnasari Tina Aprilia Pinem Tugiono Tugiono Usti Fatimah Sari Sitorus Pane Wahyu Riansah Widiarti Rista Maya Yopi Hendro Syahputra Yoseflyn Manurung Yusnidah