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All Journal MEKTEK Foristek Techno.Com: Jurnal Teknologi Informasi MEKTRIK CESS (Journal of Computer Engineering, System and Science) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Technomedia Journal Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal ScientiCO : Computer Science and Informatics Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics IAIC Transactions on Sustainable Digital Innovation (ITSDI) SATIN - Sains dan Teknologi Informasi The Indonesian Journal of Computer Science
Yusuf Anshori
Fakultas Teknik, Universitas Tadulako
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Journal : The Indonesian Journal of Computer Science

 1 
Penerapan Algoritma Dijkstra Untuk Menentukan Rute Terpendek Dalam Distribusi Darah Di Palang Merah Indonesia Kota Palu Berbasis Mobile Dival Maulana, Muhammad; Hendra, Andi; Yudhaswana, Yuri; Anshori, Yusuf; Ar. Lamasitudju, Chairunnisa
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4454

Abstract

Efficient blood distribution is crucial for the Indonesian Red Cross (PMI) to save lives. This research develops a mobile-based blood distribution system that utilizes Dijkstra's Algorithm to determine the shortest delivery routes. The system is specifically designed for PMI in Palu City, assisting drivers in finding optimal paths and monitoring blood stock availability in hospitals in real-time. A prototyping method was employed for development, while the Google Maps API enables accurate route visualization. Research results indicate that Dijkstra's Algorithm reduces blood distribution time by 15-20% compared to the previously used manual methods. Additionally, this system facilitates better management of blood stocks and increases distribution speed. Blackbox testing ensures that all features function according to specifications. This research contributes to enhancing blood distribution efficiency at PMI, with the hope of minimizing the risk of blood shortages. Future research is recommended to further develop the system on a larger scale to address more complex distribution challenges.
Analisis Sentimen Terhadap Presiden Terpilih Dimedia Sosial Twitter (X) Menggunakan Algoritma Support Vector Machine Ono, Jumaita; Anshori , Yusuf; Yudhaswana Joefrie , Yuri; Yazdi Pusadan, Mohammad; Syahrullah
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4388

Abstract

The current elected presidents of Indonesia are Prabowo and Gibran, with several work programs and visions and missions that are still being discussed on various social media, especially on Twitter. Based on the problems in this research, the Support Vector Machine method was applied with the dataset used amounting to 2000 data obtained from Twitter social media using scraping techniques, and divided into five scenarios, namely positive, very positive, neutral, negative and very negative. Data were tested from 100 datasets, 500 datasets, 1000 datasets, 1500 datasets, and 2000 datasets. The accuracy results obtained from 100 data were 0.40% accuracy, 0.08% precision, and 0.20% recall. The second test used 500 data with an accuracy of 0.67%, precision of 0.33% and recall of 0.24%. The third test used 1000 data with an accuracy of 0.73%, precision of 0.52% and recall of 0.29%. The fourth test used 1500 data with an accuracy of 0.74%, precision of 0.41% and recall of 0.29%. The fifth test with the highest level of accuracy uses 2000 data, with an accuracy of 0.75%, precision of 0.47%, and recall of 0.30%
Co-Authors A. Y. Erwin Dodu A. Y. Erwin Dodu A.Y. Erwin Dodu A.Y. Erwin Dodu Amriana Amriana Andi Hendra Anita Ahmad Kasim Arief Pratomo Azizah Azizah Budiman, Wahyu Candriasih, Ni Kadek Chairunnisa Ar. Lamasitudju Deny Wiria Nugraha Dewa Made P. Wedananta Dival Maulana, Muhammad Dodu, A. Y. Erwin Dwi Shinta Angreni Fadli Kurniawan Fajar, Moh Ghifari, Ari Hajra Rasmita Ngemba Ihwan, Abib Raifmuaffah Iskandar Iskandar Jeprianto Rurungan, Jeprianto JULIAN WITJAKSONO Komang, Gusti Laila, Rahma Limbong, Dennis Tandi Luh Putu Ratna Sundari Maulana, Muhammad Syahputra Megawati Purwaningsih Mohammad Yazdi Pusadan Mutaqin, Ghani Nadyanti, Nadyanti Nanda, Rifqi Ningsih, Alief Surya Nouval Trezandy Lapatta Ono, Jumaita Pangara, Takdir S Parenrengi, Andi Fathur Alamsyah A. Putri Febrina, Annisa Rahmah Laila Rinianty, Rinianty Rizka Ardiansyah Rizqa Raaiqa Bintana Ryfial Azhar, Ryfial Santoso, Naufal Tamam Septiano Anggun Pratama Syahrullah Syahrullah Syahrullah Syaiful Hendra Tamaulina Br Sembiring Widyati, Made Ayu Sri Wirdayanti Yudhaswana Joefrie , Yuri Yudhaswana, Yuri Yuri Yudhaswana Joefrie