Andi Manalu
Politeknik Bisnis Indonesia

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TENAGA PENDIDIK TERBAIK MENGGUNAKAN METODE COMPLEX PROPORTIONAL ASSESSMENT Victor Marudut Mulia Siregar; Kalvin Sinaga; Erwin Sirait; Andi Manalu; Arifin Tua Purba
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1258

Abstract

This research aims to develop and implement a decision support system (DSS) using the Complex Proportional Assessment (COPRAS) method for selecting the best educators at Yayasan Pendidikan Bina Usaha Indonesia (YPBUI). The selection of qualified educators is crucial for creating an effective learning environment, yet the current manual process is prone to bias and inaccuracies. This study involves problem identification, determination of evaluation criteria and weights, data collection on educator performance, and the application of the COPRAS method. The results indicate that the developed DSS provides more objective, transparent, and accurate assessments compared to manual methods. The COPRAS method allows for the proportional integration of various evaluation criteria, resulting in more precise final rankings. The utility calculations show that educators TP04 and TP06 occupy the top positions. With the implementation of this system, YPBUI can enhance performance and service quality in education through a better and more efficient evaluation process.
Application of CPM and PERT Methods in Residential Construction Project Scheduling: A Case Study Rajainal Saragih; Hengki Mangiring Parulian Simarmata; July Antasari Br Sinaga; Gayus Simarmata; Andi Manalu
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 2 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i2.101

Abstract

This study aims to analyze and optimize the scheduling of a residential construction project using the CPM, crashing techniques, and the PERT. A quantitative approach is employed by utilizing data obtained from observations and interviews conducted on a housing construction project in Bandar District, Simalungun Regency. CPM analysis is used to identify the critical path and determine the project duration, while crashing techniques are applied to obtain acceleration alternatives by considering additional costs. Furthermore, the PERT method is used to analyze uncertainty in project duration and to calculate the probability of project completion. The results show that the project duration under normal conditions is 59 days, with the critical path identified as A–B–D–E–G–H–J–O–P. After applying crashing, the project duration is reduced to 55 days with an additional cost of IDR 212,500. The PERT analysis indicates that the expected project duration is 44 days, with a completion probability of approximately 99% for a target duration of 49 days. These findings demonstrate that the combination of CPM, crashing, and PERT methods is effective in improving time and cost efficiency, while also providing a more reliable basis for decision-making under conditions of uncertainty.