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Journal : ScientiCO : Computer Science and Informatics Journal

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

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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.
IMPLEMENTASI METODE TOPSIS DALAM PENENTUAN CALON TRANSMIGRAN DI INDONESIA Ngemba, Hajra Rasmita; Angreni, Dwi Shinta; Winarta, Ardhiansyah; Hendra, Syaiful; A Djufri, Isdar
ScientiCO : Computer Science and Informatics Journal Vol 3, No 2 (2020): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

The population in Indonesia is growing, causing population density in an area. One of the impacts of population density in an area is that it causes job opportunities in that area to become smaller, so that the unemployment rate increases. To overcome this problem, the government moved or spread the population from a densely populated area to another area with a small population with the aim of improving the economy and opening up agricultural land in the region. However, problems in the field include the limited quota of transmigrant participants from the central government. So it makes it difficult to choose or make decisions to determine potential transmigration participants. This study aims to assist the government in making decisions to determine suitable transmigrant candidates using the TOPSIS(Technique for Order Preference By Similiarity To Ideal Solution) method. Application development using the prototype method with blackbox testing. Decision Support System Applications Determining prospective transmigrants can assist users (government) in determining eligible transmigrant candidates with the criteria desired by the government.
RANCANG BANGUN E-SUPPLY CHAIN MANAGEMENT SYSTEM PADA BRIGHT GAS PERTAMINA MENGGUNAKAN METODE DISTRIBUTION REQUIREMENT PLANNING (DRP) Ngemba, Hajra Rasmita; Syahrullah, Syahrullah; Indrajaya, Muhammad Aristo; Hendra, Syaiful; Lakatjinda, Adiatma
ScientiCO : Computer Science and Informatics Journal Vol 4, No 2 (2021): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Proper handling of problems is needed to support distribution activities. E-SCM or Electronic Supply Chain Management is a collaborative use of technology and strategic management to improve speed, performance, real-time monitoring of business processes aimed at integrating combined productive capacity and other resources in a supplier network system (Supply Chain System) through technology. Internet. The development of this system uses an extreme programming model by building Android-based applications that can only be run on mobile devices using at least the Android 5.0 Lollipop operating system. System testing will be tested with Blackbox and User Acceptance. The results of this study are the distribution system design with DRP can minimize the number of orders because the number of orders is optimal so that orders do not need to be made every week.
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

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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.