Decision Analysis to Improve Company’s Time Utilization during Clove Harvest-Interval Using Analytical Hierarchy Process and Situation Appraisal
Indonesia is a country that has very diverse natural resources, one of which is spices. Various kinds of spices such as cloves, nutmeg, ginger, turmeric, candlenut, pepper, cinnamon, and vanilla are what make Indonesian spices known worldwide and contribute to the country’s economy. Clove is a typical Indonesian spice originating from the Maluku islands (Ternate and Tidore). Currently, cloves have been cultivated in various regions in Indonesia, namely Java, Central Kalimantan, East Kalimantan, Sulawesi, and others. Clove season in Indonesia occurs once or twice a year, namely from April to May and October to November. The farmers will harvest ripe clove flowers, then the clove flowers are dried in the sun and processed as raw materials for the production of cigarettes, cosmetics, and others. CV. Rempah Jaya is one of the leading and best clove suppliers in Indonesia. Especially variations of cloves such as whole cloves, clove oil, dried clove leaves, dried clove stems, and clove ash. Usually, the supply of cloves to the cigarette factory is held every few months in large quantities, so a lot of spare time is available before sending it to the factory. Therefore CV. Rempah Jaya needs the right work to be done when there is a time vacuum. The purpose of this study is to increase the time utilization of CV companies. Rempah Jaya during the clove harvest interval. In this study, a situation analysis was carried out using the Kepner-Tregoe method, then external and internal analysis was carried out using Mendelow’s Matrix and SWOT Analysis methods. After that, root cause analysis was carried out using Ishikawa Diagram. Then the decision-making process is carried out using the Analytical Hierarchy Process (AHP) method. From the results of the AHP method, alternative values were obtained for the three available criteria, namely oil distillation, spice mixtures, and collaboration with the food and beverage industry with values of 0.64, 0.19, and 0.17.