Pengembangan metrik kompleksitas model proses bisnis menggunakan Goal Question Metric (GQM) dan Analytical Hierarchy Process (AHP)

INDONESIA:

Proses bisnis merupakan suatu kumpulan aktivitas terstruktur yang saling berkaitan untuk menghasilkan tujuan atau output tertentu. Seiring dengan semakin kompleksnya proses bisnis yang digunakan maka semakin kompleks pula model proses bisnisnya, sehingga diperlukan sebuah metrik untuk mengukur kompleksitas model proses bisnis. Penelitian ini bertujuan untuk menentukan metrik kompleksitas model proses bisnis yang akan dibandingkan dengan CADAC yang telah terlebih dulu merumuskan metrik kompleksitas model proses bisnis.

Perumusan metrik kompleksitas ini menggunakan metode Goal Question Metric (GQM) dan Analytical Hierarchy Process (AHP). Setelah dirumuskan metrik kompleksitas model proses bisnis tersebut diberi nama BPMCM (Business Process Model Complexity Metric). Perbandingan BPMCM dengan CADAC dilakukan pada tahap analisis dataset model proses bisnis dan pada tahap validasi. Dataset yang digunakan merupakan dataset model proses bisnis dengan berbagai macam kompleksitas. Validasi yang digunakan merupakan validasi teoritis menggunakan Weyuker’s Properties.

Setelah membandingkan hasil analisis dataset dan validasi BPMCM dengan CADAC, dapat ditarik kesimpulan bahwa BPMCM lebih sensitive daripada CADAC terhadap perubahan kompleksitas model proses bisnis. Perubahan kompleksitas model proses bisnis meliputi perubahan elemen, percabangan, jumlah cabang, kedalaman, adanya cyclic dan jumlah arc dalam cyclic.

ENGLISH:

A business process is a collection of structured activities that are interrelated to produce specific goals or outputs. The more complex business processes is used, the more complex its model, so we need a metric to measure the complexity of business process models. This study aims to determine the complexity of business process model metrics that will be compared with CADAC which has already formulated the complexity of business process model metrics.

The formulation of this complexity metric uses the Goal Question Metric (GQM) and Analytical Hierarchy Process (AHP) method. After formulating the complexity metric, the business process model is named BPMCM (Business Process Model Complexity Metric). The comparison of BPMCM with CADAC is done at the data analysis stage of the business process model dataset and at the validation stage. The dataset used is a business process model dataset with various kinds of complexity. The validation used is a theoretical validation using Weyuker‟s Properties.

After comparing the results of the dataset analysis and BPMCM validation with CADAC, it can be concluded that BPMCM is more sensitive than CADAC to changes in the complexity of the business process model. Changes in the complexity of business process models include changes in elements, branching, number of branches, depth, the presence of cyclic and the number of arcs in cyclic.