Kota Makassar merupakan salah satu kota metropolitan di Indonesia yang mengalami pertumbuhan aktivitas dan volume lalu lintas yang cukup pesat. Simpang Bersinyal Jl. Dr. Ratulangi–Jl. Lanto Dg. Pasewang–Jl. Kasuari merupakan salah satu simpang yang berada di kawasan pusat kota dengan aktivitas lalu lintas yang tinggi sehingga berpotensi mengalami penurunan kinerja. Penelitian ini bertujuan menganalisis kinerja simpang menggunakan Pedoman Kapasitas Jalan Indonesia (PKJI) 2023 dan simulasi PTV VISSIM, serta menentukan alternatif penanganan yang efektif. Data diperoleh melalui survei volume lalu lintas pada jam puncak selama empat hari, kemudian dianalisis menggunakan PKJI 2023 dan dimodelkan pada PTV VISSIM. Hasil analisis PKJI 2023 menghasilkan derajat kejenuhan 1,78, panjang antrian 1349,33 m dan tundaan 1459,93, sedangkan simulasi PTV Vissim menghasilkan panjang antrian 189,79 m dan tundaan 88,54 dengan tingkat pelayanan LOS F. Alternatif berupa pengaturan ulang waktu hijau dan pelebaran jalan, analisis PKJI 2023 menghasilkan nilai derajat kejenuhan (DJ) 0,50 <0,85, panjang antrian 37,55 m dan nilai tundaan 29,11 detik/kendaraan, sedangkan simulasi PTV Vissim menghasilkan panjang antrian 81,31 m dan tundaan 30,22 dengan tingkat pelayanan (Level of Service/LOS) berada pada kategori C. Alternatif tersebut mendapatkan hasil yang lebih baik karena mampu meningkatkan kapasitas simpang serta menurunkan derajat kejenuhan, tundaan, dan panjang antrean berdasarkan hasil PKJI 2023 maupun simulasi PTV VISSIM.

Makassar is one of Indonesia's metropolitan cities experiencing rapid growth in urban activities and traffic volume. The signalized intersection of Dr. Ratulangi Street–Lanto Dg. Pasewang Street–Kasuari Street is located in the city center and serves a high volume of traffic, making it vulnerable to traffic congestion and declining operational performance. This study aims to evaluate the performance of the signalized intersection using the Indonesian Road Capacity Guidelines (PKJI) 2023 and PTV VISSIM simulation, as well as to determine the most effective improvement alternative. Traffic volume data were collected during peak hours over four consecutive days and analyzed using PKJI 2023 and modeled in PTV VISSIM. The PKJI 2023 analysis of the existing condition produced a degree of saturation of 1.78, a queue length of 1,349.33 m, and an average delay of 1,459.93 s/veh. Meanwhile, the PTV VISSIM simulation resulted in a queue length of 189.79 m and an average delay of 88.54 s/veh, corresponding to a Level of Service (LOS) F. Improvement alternatives consisting of signal green time redistribution and roadway widening were then evaluated. The optimized condition based on PKJI 2023 yielded a degree of saturation of 0.50 (<0.85), a queue length of 37.55 m, and an average delay of 29.11 s/veh. Similarly, the PTV VISSIM simulation showed a queue length of 81.31 m and an average delay of 30.22 s/veh, corresponding to a Level of Service (LOS) C. The proposed improvement alternatives demonstrated better performance by increasing the intersection capacity while reducing the degree of saturation, delay, and queue length, as indicated by the results of both the PKJI 2023 analysis and the PTV VISSIM simulation.