Article Per Year (5 Year)
p-Index From 2019 - 2024
0.888
P-Index
This Author published in this journals
All Journal ScientiCO : Computer Science and Informatics Journal Advance Sustainable Science, Engineering and Technology (ASSET) The Indonesian Journal of Computer Science
Rahmah Laila
Information Technology Department, Faculty Of Engineering, Tadulako University, Jl. Soekarno Hatta No KM 9 Palu 94148, Central Sulawesi, Indonesia
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : ScientiCO : Computer Science and Informatics Journal

 1 
PENERAPAN ALGORITMA C4.5 DALAM MENGENALI POLA PERKEMBANGAN PEKERJAAN PROYEK Laila, Rahmah; Hendra, Syaiful; Azhar, Ryfial; Anwar, Asriani; Ngemba, Hajra Rasmita
ScientiCO : Computer Science and Informatics Journal Vol 3, No 2 (2020): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PLN UPP KITRING Central Sulawesi has duties and responsibilities in the process of supervising the construction period until the completion of the contract mass. In this monitoring process, managers find it very difficult to know the progress of the project due to the absence of media to facilitate reporting and monitoring of system developments to find out follow-up to the system. If this problem is allowed to continue, the project work cannot be completed on time and incurs a considerable cost loss. Through this research, it is hoped that it can help solve project monitoring problems by identifying patterns of project development that will be useful for managers in making decisions related to project performance. The development of this research uses the waterfall method and the system testing uses a black-box testing. The results of this study are based on testing and design analysis of the C4.5 Algorithm Application in Recognizing Project Work Development Patterns to Know the Win/Lose Target Results of the Case Study Project at PT PLN (PERSERO) UPP KITRING Central Sulawesi, it can be concluded that the system is able to recognize patterns project development by utilizing the C4.5 algorithm and the system can implement the C4.5 algorithm in recognizing project development patterns.
RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN LELANG MENGGUNAKAN METODE SIMPLE MULTY ATTRIBUTE RATING TECHNIQUE (SMART) Hendra, Syaiful; Azhar, Ryfial; Risaldi Pata’Dungan, Adi; Ngemba, Hajra Rasmita; Laila, Rahmah
ScientiCO : Computer Science and Informatics Journal Vol 4, No 2 (2021): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Auction is a process that starts from the moment someone is about to sell an item until a price agreement is reached or until the auction is stopped, so that the item is not auctioned or sold. In the auction evaluation section, there is a problem, namely when there are many assessment documents for the goods to be auctioned, making the assessment hampered because they are still using the manual method, by assessing one by one document of the goods to be auctioned and then the results of the assessment are compared with other data items to determine which ones are eligible for auction, so that requires a longer process to determine the items eligible for auction. This study uses the SMART method for its decision support system method. This study using 15 criteria in determining decisions. The result of this research is that the decision support system designed or built is successful in selecting auction-worthy vehicles, by implementing the SMART method and running well. Determination of eligibility for auction vehicles must meet predetermined criteria, there are 15 criteria in the assessment of auction vehicles. System testing is carried out by comparing manual calculations with calculations using the system resulting in a 100% accuracy percentage of the 61 test data entered into the system.
Co-Authors Anwar, Asriani Chairunnisa Ar Lamasitudju Hajra Rasmita Ngemba Miftah Moh. Agung Nursalim Mohammad Yazdi Pusadan Muhammad Jindan Risaldi Pata’Dungan, Adi Ryfial Azhar, Ryfial Syahrullah Syahrullah Syaiful Hendra Wirdayanti