Article Per Year (5 Year)
p-Index From 2020 - 2025
3.799
P-Index
This Author published in this journals
All Journal Riau Journal of Computer Science Hasil Pengabdian Kepada Masyarakat JURNAL EDUCATION AND DEVELOPMENT JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL MATHEMATIC PAEDAGOGIC JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Inovasi Jurnal Ilmiah Ekonomi dan Manajemen Gudang Jurnal Pengabdian Masyarakat PROCEEDING INTERNATIONAL BUSINESS AND ECONOMICS CONFERENCE (IBEC)
Hommy Dorthy Ellyany Sinaga
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JURTEKSI

 1 
PERBANDINGAN DOUBLE MOVING AVERAGE DENGAN DOUBLE EXPONENTIAL SMOOTHING PADA PERAMALAN BAHAN MEDIS HABIS PAKAI Hommy Dorthy Ellyany Sinaga; Novica Irawati
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 4, No 2 (2018): Juni 2018
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.285 KB) | DOI: 10.33330/jurteksi.v4i2.60

Abstract

Medical disposable is one of important support tools in medical operational and must not be out of stock in order to deliver excellent service in hospital. The pharmacy department has to forecast the demand to supply information for decision making in budgeting. In this paper, is comparing double moving average and double exponential smoothing method for 3 ml spuit for time series 01 January to 30 June 2017. The accuracy of forecasting is the most important and it can be measure with MAPE (Mean Absolute Percentage Error) and RMSE (Root Mean Square Value). The smallest value of MAPE and RMSE is having the high accuracy of forecasting. The double moving average method has the smallest MAPE = 0.353 and RMSE = 95.8 compare to Exponential Smoothingand be the best option to use as method to forecast the medical disposable supply demand.
SKIN DISEASE DETECTION EXPERT SYSTEM USING NAIVE BAYES CLASSIFIER METHOD Cici Santika Putri; Muhammad Ardiansyah Sembiring; Hommy Dorthy Ellyany Sinaga
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 9, No 1 (2022): Desember 2022
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v9i1.1877

Abstract

Abstract: The skin is an elastic wrapping that protects the body from environmental influences, the skin is the organ that is located on the outside and limits it from the human environment. Skin diseases can be caused by fungi, viruses, germs, animal parasites, bacterial infections and others. To identify skin diseases, we usually have to see a doctor, but we still experience problems in dealing with disease identification. This is sometimes influenced by the community, sometimes they feel embarrassed to consult their skin disease to a doctor because the signs of skin disease have started to appear, consultation fees and drugs are relatively expensive. Current technological developments are able to process knowledge with artificial intelligence techniques. Due to the many symptoms of disease nowadays, it is necessary to make a system application with artificial intelligence that can diagnose skin diseases and provide solutions for skin diseases using one of the methods, namely the Naïve Bayes Classifier. Naïve Bayes is a simple classification algorithm where each attribute is independent and may contribute to the final decision. The goal is to produce an expert system website that helps the general public in diagnosing skin diseases and providing solutions for detected skin diseases. The results of this study concluded that based on the application of skin cancer diagnosis can display the results of skin cancer diagnosis decisions.    Keywords: expert system; naïve bayes; skin disease Abstrak: Kulit merupakan pembungkus yang elastis yang melindungi tubuh dari pengaruh lingkungan, kulit merupakan organ tubuh yang terletak paling luar dan membatasinya dari lingkungan hidup manusia. Penyakit kulit dapat disebabkan oleh jamur, virus, kuman, parasit hewani, infeksi bakteri dan lain-lain. Mengidentifikasi penyakit kulit biasanya kita harus ke dokter, namun masih mengalami kendala dalam menangani pengidentifikasi penyakit hal itu terkadang dipengarui oleh masyarakat terkadang merasa malu untuk mengkonsultasikan penyakit kulitnya ke dokter karena tanda-tanda penyakit kulit sudah mulai tampak, biaya konsultasi dan obat yang tergolong mahal. Perkembangan teknologi saat ini mampu mengolah pengetahuan dengan teknik kecerdasan buatan. Karena banyaknya gejala penyakit pada masa sekarang ini perlu dibuat aplikasi sistem dengan kecerdasan buatan yang dapat mendiagnosa penyakit kulit dan memberikan solusi dari penyakit kulit dengan salah satu metode yaitu Naïve Bayes Classifier. Naïve bayes merupakan algoritma klasifikasi yang sederhana dimana setiap atribut bersifat berdiri sendiri dan memungkinkan berkontribusi terhadap keputusan akhir. Tujuannya adalah menghasilkan website sistem pakar yang dan membantu masyarakat luas dalam mendiagnosa penyakit kulit dan memberikan solusi dari penyakit kulit yang terdeteksi. Hasil dari penelitian ini menyimpulkan bahwa berdasarkan aplikasi diagnosa penyakit kanker kulit dapat menampilkan hasil keputusan diagnosa penyakit kanker kulit. Kata kunci: Naïve Bayes; Penyakit Kulit; sistem pakar
Co-Authors Adyanata Lubis Afdhal Syafnur Alvin Novaldo Bachtiar Efendi Chelsya Chitra, Latiffani Christopher, Philip Cici Santika Putri Claudie Tiofanny Desma Erica Maryati M. Desma Erica Maryati M. Desma Erica Maryati Manik Dewi Anggraeni Dewi Anggraeni Elbi Elisius Brahmana Elisabeth Nainggolan Eska, Juna Eva Darma Yanti Felix Harry Brahmana Herman Saputra Jeperson Hutahaean Johnny Chandra Jupert Jasser G. Abellana Kenjiorlando Lesita khairuni siagian Marlo C. Novino Mohd Siddik Muhammad Ardiansyah Sembiring Mustika Fitri Larasati Sibuea Novica Irawati Nur Laila Sari Petrus Loo Pratama Perangin-angin, Muhammad Farid Reza Arif Sya’bana Rizaldi Rizaldi, Rizaldi Rizky Dwi Prasetio Umairoh Yessica Siagian