Perancangan Matriks Penilaian Kelayakan Usulan Investasi Belanja Modal pada PT XYZ

Abstract

Investasi belanja modal merupakan aktivitas strategis yang memerlukan kajian kelayakan untuk mendukung pengambilan keputusan investasi. Pada PT XYZ, penilaian kelayakan dilakukan berdasarkan aspek finansial, operasional, komersial, dan legal, namun hasil kajian tersebut belum terintegrasi dalam suatu sistem penilaian yang terukur. Penelitian ini bertujuan untuk mengetahui prosedur dan alat yang digunakan dalam kajian kelayakan investasi, mengidentifikasi kendala yang dihadapi, serta merancang matriks penilaian kelayakan usulan investasi belanja modal. Penelitian menggunakan pendekatan kualitatif dengan model pengembangan 4D (Define, Design, Develop, Disseminate). Hasil penelitian menunjukkan bahwa matriks penilaian yang dikembangkan mampu mengintegrasikan aspek finansial dan nonfinansial dalam satu kerangka penilaian berbasis Microsoft Excel VBA. Sistem menghasilkan skor, persentase kelayakan, rekomendasi keputusan investasi, serta dashboard ringkasan yang mendukung proses evaluasi investasi secara lebih terstruktur, konsisten, dan berbasis data.

Capital expenditure investment requires a feasibility assessment to support investment decision-making. At PT XYZ, feasibility assessments are conducted based on financial, operational, commercial, and legal aspects; however, the assessment results have not been integrated into a measurable evaluation system. This study aims to examine the existing procedures and tools, identify the challenges encountered, and develop a feasibility assessment matrix for capital expenditure investment proposals. A qualitative approach was employed using the Four-D (Define, Design, Develop, Disseminate) development model. The results show that the developed matrix successfully integrates financial and non-financial aspects into a Microsoft Excel VBA-based evaluation framework. The system generates feasibility scores, feasibility percentages, investment recommendations, and a summary dashboard, supporting a more structured, consistent, and data-driven investment evaluation process.