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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
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
APPLICATION OF DEMPSTER SHAFER FOR CANARY DISEASE DIAGNOSIS AT IN LIVESTOCK AND ANIMAL HEALTH SERVICE OF ASAHAN REGENCY Reza Arif Sya’bana; Dewi Anggraeni; Hommy Dorthy Ellyany Sinaga
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.181

Abstract

Canaries are birds that are in great demand by hobbyists and breeders, especially local canaries and imported canaries. The advantages of imported canaries have an ideal body posture and also thick fur. However, where there are few problems with imported canaries, especially the sound that tends to be less noisy and the duration of the tone is not too long and canaries can be cultivated because they have a high economic value. Canaries are also very easily infected with diseases, infections that can attack these canaries, such as diseases caused by polioma infections or also disorders from parasites and bacterial contamination of the digestive organs. To overcome this problem, an expert system was created to diagnose diseases in canaries using the Dempster Shafer method with the PHP programming language and MySQL database. This expert system application is designed using the Dempster Shafer method based on subjective possibilities and rules in combining degrees of confidence based on the evidence obtained. This theory has several characteristics that are intuitively in accordance with the way of thinking of an expert, but a strong mathematical basis. With this application, it is hoped that it will make it easier for the hobbyist/breeder to find out the disease he is suffering from and find out what percentage of the disease he suffers, so that the hobbyist/breeder can take immediate action.
FORECASTING TECHNIQUES OF CONTACT HERBICIDE SALES USING SINGLE MOVING AVARAGE METHOD IN UD. LUMBUNG TANI Umairoh; Rizaldi; Hommy Dorthy Ellyany Sinaga
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.188

Abstract

The process of supplying or stocking fertilizers at UD. Lumbung Tani is still carried out manually or only based on previous sales estimates, resulting in excess and shortage of contact herbicide stocks. The purpose of this study was to determine the amount of inventory derived from previous contact herbicide sales data using the SMA method to predict the contact herbicides gramoxone, tamaxone, paratop, himaquat, naraxone with a smaller error rate. The results showed that the MAPE SMA3 values ​​for each type of herbicide were 22. 13%, 22.35%, 22.72%, 21.83%, 18.20%. Forecasting applications with Single Moving Average can determine the prediction of contact herbicide supplies in the next period. By using the SMA3 method the owner of UD. Lumbung Tani can forecast sales in the following month which is more efficient and effective.
Co-Authors Adyanata Lubis Afdhal Syafnur Alvin Novaldo Bachtiar Efendi Chitra, Latiffani Christopher, Philip Cici Santika Putri Claudie Tiofanny Desma Erica Maryati M. Desma Erica Maryati M. Desma Erica Maryati Manik Dewi Anggraeni Elbi Elisius Brahmana Elisabeth Nainggolan Eska, Juna Eva Darma Yanti Felix halim, cheviria 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 Pesta Gultom Reza Arif Sya’bana Rizaldi, Rizaldi Rizky Dwi Prasetio Umairoh Yessica Siagian