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All Journal Jurnal Buana Informatika Sistemasi: Jurnal Sistem Informasi Tech-E Jurnal Ilmiah FIFO Jurnal CoreIT Jurnal TAM (Technology Acceptance Model) ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) CSRID (Computer Science Research and Its Development Journal) Jurnal Tekno Kompak Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER BEES: Bulletin of Electrical and Electronics Engineering Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Media Celebes CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Swarnadwipa SANISKALA: Jurnal Pengabdian Masyarakat Jurnal TAM (Technology Acceptance Model) Journal of Decision Support System Research
Yuri Rahmanto
Universitas Teknokrat Indonesia
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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Klasifikasi Citra Jenis Daun Berkhasiat Obat Menggunakan Algoritma Jaringan Syaraf Tiruan Extreme Learning Machine Rhaishudin Jafar Rumandan; Rini Nuraini; Nanang Sadikin; Yuri Rahmanto
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2586

Abstract

Leaves are one part of a plant that has benefits for humans, especially for the health of the body. Leaves can be used as herbal medicine which can be an alternative that can help in increasing immunity and body resistance. However, not all leaves have medicinal properties, therefore knowledge of the types of medicinal leaves is important. The aim of this research is to develop a classification system for the image of medicinal leaves using the Extreme Learning Machine (ELM) artificial neural network model. To support the ELM algorithm, morphological feature extraction is used which can provide information about the shape characteristics of existing objects. Extreme Learning Machine (ELM) is also known as an artificial neural network approach that uses one hidden layer. At the classification stage, the Extreme Learning Machine (ELM) algorithm can determine the weight value between the input neurons and the hidden layer randomly so that the learning pattern becomes faster. Based on the results of the precision, recall and accuracy tests, the precision value is 90.67%, the recall value is 89.47% and accuracy of 90%. So, based on these results it can be said that the ELM model that was built can classify images of leaf types with medicinal properties well.
Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method Sitna Hajar Hadad; Dedi Darwis; Arie Qurania; Ahmad Ari Aldino; Abhishek R Mehta; Yuri Rahmanto; Setiawansyah Setiawansyah
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4544

Abstract

The problems that occur in determining the best students based on the learning process of the assessment process are still based on the academic scores of students and have not considered the learning process carried out by students. This study aims to apply the Combined Compromise Solution (CoCoSo) method in ranking students based on learning assessment using criteria of academic progress, problem-solving ability, mastery of skills, independence, motivation and positive attitude, adaptability, and for weighting the criteria used to apply the Simplified PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) weighting method. The Simplified PIPRECIA method is particularly useful in situations where there are diverse criteria to be considered and complex decisions must be made taking into account the preferences and interests of various stakeholders. The Combined Compromise Solution Method is useful when there are conflicts in various criteria that need to be considered in the decision-making process. With this approach, each criterion is weighted and carefully calculated, so that the resulting decisions reflect comprehensive considerations that can meet various requirements and constraints. Based on the results of student rankings based on assessments in learning in the table above, rank 1 was obtained by students with Student ID 1211313 with a final grade of 6.487, rank 2 was obtained by students with Student ID 1211316 with a final grade of 6.402, and rank 3 was obtained by students with Student ID 1211314 with a final grade of 5.814.
Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method Wang, Junhai; Isnain, Auliya Rahman; Suryono, Ryan Randy; Rahmanto, Yuri; Mesran, Mesran; Setiawansyah, Setiawansyah
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.5990

Abstract

Platforms in e-commerce are digital systems that allow online transactions to buy and sell products or services. E-commerce platforms also provide benefits for business actors because they are able to reach a wider market without geographical restrictions, while offering efficiency in business operations. The main problem in choosing a platform for e-commerce is often related to the sheer number of options available and the variety of criteria that must be considered. Criteria such as fees, platform popularity, transaction security, ease of use, features provided, as well as customer service support are important factors in determining the most suitable platform. The implementation of a decision support system to help select the optimal e-commerce platform by applying the OWH-TOPSIS method shows that this system can provide accurate and effective recommendations, so that it can be used as a reference for users in determining the e-commerce platform that suits their needs. The decision support system using the OWH-TOPSIS method provides an efficient and objective solution in the selection of e-commerce platforms. The results of the ranking of the best e-commerce platforms show that Platform D occupies the top position with the highest score value, which is 0.882. In second place is Platform E which obtained a score of 0.8599, followed by Platform A with a score of 0.8341.
Co-Authors ., Rusliyawati Abhishek R Mehta Achmad Yudi Wahyudin Adam Saputra Ade Dwi Putra Ade Dwi Putra Ade Surahman Adhie Thyo Priandika Aditia Yudhistira Adiyta Yudistira Ady Chandra Afrianto Afrianto Afrianto Agung Saputra Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Fathurrozi Ahmad Rifki Irliando Aidil Akbar Akhmad Jayadi Alfian, Joni Alita, Debby Almira Devita Putri Alpiana, Nopiah Amat Damuri Amik Herningsih Anang Burlian Andi Nurkholis Andika, Reza Anggun Putri Kinanti Ani Sesanti Aprian Nuriansah Ari Sulistiyawati Arie Qur’ania Arinda Rifaini Arnando Fajar Sidhiq Arshad, Muhammad Waqas Arsy Berlian Sutarman Asistyasari, Ayuni Bagas Setiawan Benhouzer N.P Pasaribu Bentar Priyopradono Budi Waluyo Daffa Pertama Damayanti Damayanti Damayanti, Damayanti Debby Alita Dedi Darwis Dedi Triyanto Devin Pratama Donaya Pasha Dyah Aminatun Dyah Ayu Megawaty Eko Bagus Fahrizqi Enda Tri Ifanda Fatimah Nur Aini Fatriana, Nina Fernando, Yusra Fikih Yuhada Sena Fikri Hamidy Fira Aulia Fitratullah, M. Gunawan, Rakhmat Dedi Handika, H Hari Setiyani Heni Sulistiani Heni Sulistiani Heni Sulistiyani Ida Bagus Suwisma Ikbal Yasin Imam Ahmad Intan Anggrenia Irwan Tubagus Ismail, Izudin Ismail, Izzudin Isnain, Auliya Rahman Izudin Ismail Jeni Sagita Jeni Sagita Putri Johansyah Johansyah Joko Trianto Joni Alfian Khoirunnisa, Yosi Kinanti, Anggun Putri Kurniawan, Arsy Lestari, Ova Lili Andraini Lulud Oktaviani Megawaty, Dyah Ayu Mesran, Mesran Moh. Erkamim Muhammad Akbar Muhammad Alip Pratama Muhammad Bakri Muhammad Irfan Hafidhin Muhammad Najib Dwi Satria Nanang Sadikin Nina Fatriana Nopiah Alpiana novi yona sidratul munti Nuralia Nuralia Nurhasan Nugroho Palupiningsih, Pritasari Parjito Parjito Pasaribu, A. Ferico Octaviansyah Permata Permata Permata Permata Prastowo, Agung Tri Priandika, Adhie Thyo Priskilia Lovika Putra, Ade Dwi Putri, Jeni Sagita Rahayu, Masnia Recxy Yuda Utama Rendy Ramadhan Rhaishudin Jafar Rumandan Rido Febriansyah Riduwan Napianto Rini Nuraini Rio Andika Rizki Febrianto Rohmat Indra Borman Ryan Randy Suryono S. Samsugi Sampurna Dadi Riskiono Sanriomi Sintaro Sari, Priskila Lovika Selfia Agustina Sesanti, Ani Setiawansyah Setiawansyah Shiwi Angelica Cindiyasari Silvia Damayanti Silvia Damayanti Siti Hotijah Sitna Hajar Hadad Stevani Natasiyah Stiawan, Fengky Styawati Styawati Styawati, Styawati suaidah suaidah suaidah suaidah Subhan Subhan Sufiatul Maryana Sumanto, Sumanto Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Tonggiroh, Mursalim Trinugi Wira Harjanti Ulum, Faruk Very Hendra Saputra Very Hendra Saputra Wang, Junhai Waqas Arshad, Muhammad Willyan Dafit Prayoga Wulan Agustin yasin, ikbal YOHANA TRI UTAMI, YOHANA TRI Yudha, Sandy Yusuf Faqih Zulhan Amir