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All Journal Semantik JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Paradigma Pi: Mathematics Education Journal Jurnal Ilmiah Matrik Sebatik Jurnal Teknik Informatika UNIKA Santo Thomas JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Building of Informatics, Technology and Science JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Mnemonic Patria : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Insyst : Journal of Intelligent System and Computation Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Joutica : Journal of Informatic Unisla Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Dedikasi: Jurnal Pengabdian Kepada Masyarakat Pi: Mathematics Education Journal J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika Polinema (JIP) Widya Teknik
Patrisius Batarius
Universitas Katolik Widya Mandira
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

 1 
Analysis of the Quality of Natural Dyes in Weaving Exposed to Sunlight Using MSE and PSNR Parameters Patrisius Batarius; Alfry Aristo Sinlae; Elisabeth F. Fahik
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 5 (2022): Oktober 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i5.4339

Abstract

It is widely assumed that natural dyes in weaving degrade in quality when exposed to sunlight for an extended period. This indication is visible to the naked eye. There is currently no standard for evaluating the quality of natural dyes. The Boti tribe's weaving on Timor Island, East Nusa Tenggara Province, is one type of weaving that uses natural dyes. The dye is made from corn flour and a combination of "nobah" leaves and the bark of the "bauk ulu" tree (from the local language). White (from corn flour) and blue-black are the colors produced by dyeing the yarn. The purpose of this research is to examine the image quality of the Boti tribe's woven fabric. The parameters used were Means Square Error (MSE), Peak Signal to Noise (PSNR), and RGB values. The image of the weaving used as a reference is compared to the image of the sun-dried weaving. The image capture distance was 30 cm, and the cropped RGB image size was 423x623x3. The experimental method was used in the research. The drying time was one hour, and it was repeated every hour between 10:00 and 15:00 local time. The sun-dried images were photographed, and parameter comparisons were performed for analysis. The results demonstrated that the MSE and PSNR methods were effective in measuring the image quality of weaving dyed with natural dyes. The average value has changed by 8.42% for the R-value, 8.58% for the G value, and 9.68% for the B value. The average PSNR for RGB images is 9.44288 dB, and the MSE is 7477.52. For grayscale images, the average PSNR is 10.52 dB and the average MSE is 5832.06.
Artificial Neural Network-Based Prediction Model Back Propagation on Blood Demand and Blood Supply Tedy, Frengky; Batarius, Patrisius; Samane, Ign. Pricher A. N.; Sinlae, Alfry Aristo Jansen
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5508

Abstract

The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial. This condition must be maintained to reduce unused or expired blood supplies. Despite the situation in UTD-PMI, where the blood supply exceeds demand, there is still a shortage of blood when needed by patients. This research aims to model the prediction of blood demand and supply for each blood type using the Back Propagation artificial neural network approach. Data from the last 3 years, from 2020 to 2022, were utilized in this research process. There are three stages in this research process. The first stage involves the training process, using data from January 2020 to December 2021. The testing process utilizes data from January 2021 to December 2022. The prediction process involves displaying the forecasted data for the next 12 months from January to December 2023. The accuracy of the calculations is assessed using the mean square error (MSE). Ultimately, the research results present the prediction model for the four types of blood with respect to the demand and supply. These findings can serve as a reference to regulate future blood donation activities carried out by the UTD-PMI.
Co-Authors Adri Gabriel Sooai Albertus Joko Santoso, Albertus Joko Alexander Ronaldo Banunaek Alfry Aristo Jansen Sinlae Anselmus Seran Nesi Badj, Lusia De Fatima Bruno Bunga Jawan, Modestine Charmelia Yunizar Jerandu Donatus J. Manehat Donatus Joseph Manehat Elisabeth F. Fahik Emanuel Jando Emerensiana Ngaga Frengky Tedy Frengky Tedy Griselda Anastasia Da Piedade Ignatius Pricher Agung Nirwanto Samane Jerandu, Charmelia Yunizar Karolina Yunita Solle Lake, Floribertha Lalo, Aprilianus Kristianus Man, Gilang M. C. P. Manek, Yohanes R. I. Maria Kristine Bria Seran Martinus Maslim Meolbatak, Emiliana Metan Nahak, Yasintus Siver Natalia Magdalena Rafu Mamulak Ndasak, Bruno Ortland Nesi, Anselmus Seran Nggaur, Emanuel N Nisa Aulia Pande, Juan Felix Tagu Paskalis Andrianus Nani Paulina Aliandu Putu Sugiati Keraf, Maria Rahaqlaka, W. Bota Rita, Fiktor Jawu Romansa, Oktavianus Fransiskus Selvi Marcellia Seran, Maria Kristine Bria Sisilia D.B. Mau Sisilia Daeng Bakka Mau Suni, Adventus Yoseph Berek Sutal, Fransiska Xavariana Taena, Juanto B. G. Taslulu, Maria Yunita Teme, Graciana A. R. Tengangatu, Paul Filson M. Watu Yohanes Vianey Yovinia Carmeneja Hoar Siki