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All Journal Foristek JOURNAL OF APPLIED INFORMATICS AND COMPUTING Technomedia Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal ScientiCO : Computer Science and Informatics Journal Jurnal Algoritma Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Jurnal Kreatif Online Innovative: Journal Of Social Science Research Madani: Multidisciplinary Scientific Journal Nanggroe: Journal Of Scholarly Service Information Technology Education Journal Nanggroe: Journal of Scholarly Service The Indonesian Journal of Computer Science Jurnal MediaTIK
Chairunnisa Ar. Lamasitudju
Teknik Informatika, Fakultas Teknik, Universitas Tadulako
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Journal : The Indonesian Journal of Computer Science

 1 
Sistem Informasi Harga Bahan Pokok Dinas Perdagangan dan Perindustrian Kota Palu Nursalim, Moh. Agung; Chairunnisa Ar Lamasitudju; Miftah; Wirdayanti; Mohammad Yazdi Pusadan; Rahmah Laila
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.3937

Abstract

Pasar tradisional Indonesia sangat penting bagi perekonomian, terutama bagi pedagang kecil dan komunitas yang bergantung pada perdagangan sebagai sumber pendapatan mereka. Namun, masalah seperti pergeseran demografi, kemajuan teknologi, dan kurangnya transparansi harga telah mengganggu stabilitas pasar tradisional. Artikel ini menunjukkan betapa pentingnya sistem informasi harga bahan pokok untuk mengelola harga dan mencegah inflasi. Studi ini bertujuan untuk membangun sistem informasi yang disebut GadeMart yang akan melacak perubahan harga di dua pasar tradisional terbesar Kota Palu: Pasar Inpres Manonda dan Pasar Masomba. Diharapkan bahwa penelitian ini akan menawarkan solusi untuk meningkatkan stabilitas ekonomi dan transparansi harga di pasar tradisional.
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.
a PREDIKSI SISWA PUTUS SEKOLAH DAN KEBERHASILAN AKADEMIK MENGGUNAKAN MACHINE LEARNING: Prediksi Siswa Putus Sekolah dan Keberhasilan Akademik Fitriana, Siti; riniyanty; laila, rahma; pratama, septiano anggun; lamasitudju, chairunnisa ar
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.v13i6.4453

Abstract

In 2020-2023. The issue of high school dropouts at SMA Negeri 2 Sigi increased, causing impacts such as declining school accreditation, a decrease in the number of students, and operational aid. This research aims to build an early prediction system for student dropouts using Machine Learning (ML). In this study, data from 200 students were used. With 16 students labeled as dropout. The results showed a model accuracy of 0.942 and an area under the curve (AUC) of 0.948. the factors most influencing student droppout are average grades, meeting targets, and father’s education leve.
Aplikasi Android Untuk Reservasi Lapangan Futsal Menggunakan Metode First In First Out (FIFO) Laala, Jonathan Zebina; Lamasitudju, Chairunnisa Ar.; Azhar, Ryfial; Laila, Rahmah; Wirdayanti; Miftah
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.v13i5.4104

Abstract

Technology facilitates the process of futsal field rental, such as payment queueing and real-time monitoring. An Android application has been developed to manage payment queueing and futsal field rental at Novega Futsal Court, addressing inefficiencies of traditional methods that decrease customer satisfaction. Utilizing Rapid Application Development (RAD) and First In First Out (FIFO) method, this application designed expedite and enhance the queueing process. Data was collected through direct interaction with respondents and on-site observation, while its development involved the use of React Native and Node.js. Testing results indicate the application functions as expected, enabling users to easily rent and pay, and assisting managers in efficiently organizing queues. This application enhances service efficiency and customer satisfaction, making a positive contribution to technology-based futsal management.
Digitalisasi Pembelajaran Budaya Sulawesi Tengah melalui Augmented Reality Menggunakan Metode Marker-Based Tracking Saleh, Muhammad Taufik; Lamasitudju, Chairunnisa Ar.; Pusadan, Yazdi; Laila, Rahmah; Pratama, Septiano Anggun
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4195

Abstract

Central Sulawesi has a diverse cultural heritage, but the rapid development of technology poses new challenges in maintaining the interest of the younger generation in local culture. This research developed a culture-learning application based on Augmented Reality (AR) using the Marker Based Tracking method for students at SDN Inpres 2 Tanamodindi to address these challenges. The application, "Mari Berbudaya," is designed to increase students' interest in local culture by providing an interactive and innovative learning experience through AR technology. This study employs a qualitative approach and prototyping method. Black box testing results confirm that all main functions of the application work well, while distance testing shows that markers can be optimally detected up to a distance of 1 meter. A questionnaire evaluation of the students resulted in an overall score of 89% with a classification of very feasible. Thus, from the overall evaluation, the "Mari Berbudaya" application has proven effective in increasing students' interest and understanding of Central Sulawesi's culture through AR technology.
Co-Authors Ahmad, Tjoet Muty Amriana Amriana Andhyka, Andhyka Andi Hendra Anita Candra Dewi Ashadi, Nini Rahayu Deny Wiria Nugraha Dewi, Shabrina Syntha Dival Maulana, Muhammad Dwi Shinta Angreni Dwiwijaya, Kadek Agus Harani, Makruf Hendra Jaya Laala, Jonathan Zebina Laila, Rahma Makmur, Elfira Miftah Miftah Miftah Miftah Miftah, Miftah Mohammad Yazdi Pusadan Muhammad Asriadi Ngemba, Hajra Nini Rahayu Ashadi Nini Rahayu Ashadi Ninik Rahayu Ashadi Nouval Trezandy Lapatta Nuridayanti, Nuridayanti Nursalim, Moh. Agung Pramadinda, Alda Nur Priska, Salsa Dilah Putri, Fadiah Suryani Rahmah Laila Rifki, Moh Rinianty, Rinianty Ryfial Azhar, Ryfial Saleh, Muhammad Taufik Septiano A Pratama Septiano Anggun Pratama Setialaksana, Wirawan - Setiawan, Dita Widayanti Shabrina Syntha Dewi Siti Fitriana Siti Rahmawati Sulaiman, Dwi Reski Anandari Sulaiman, Dwi Rezky Anandari Syahrullah Syahrullah Syaiful Hendra Widiani, Ni Nengah Widyati, Made Ayu Sri Wirdayanti Yudhaswana, Yuri Yuri Yudhaswana Joefrie Yusuf Anshori