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Abstract. This study aims to analyze the effect of four-wheeled vehicle production and imports on the unemployment rate in West Java Province during the 2016–2023 period. The background of the study stems from the fluctuating conditions of vehicle production and imports, as well as West Java's unemployment rate, which tends to be higher than the national average. The study employed a quantitative approach with secondary data obtained from Statistics Indonesia (BPS) and the Indonesian Association of Indonesian Automotive Manufacturers (GAIKINDO). The analytical method used was multiple linear regression to determine the simultaneous and partial effects between variables. The results show that four-wheeled vehicle production and imports simultaneously have a significant effect on the unemployment rate. Partially, four-wheeled vehicle production has a significant negative effect, meaning that increased production can reduce the unemployment rate in West Java. Conversely, four-wheeled vehicle imports have no significant effect on the unemployment rate, so increased imports do not directly affect labor absorption. The coefficient of determination of 83.4% indicates that production and imports contribute significantly to explaining variations in the unemployment rate. These research findings emphasize the importance of strengthening the automotive industry sector as a strategy to reduce unemployment in West Java.

The research was intended to cluster the production areas of Indonesia's fishery products especially Skipjack Tuna, Tuna, Mackarel Tuna, and shrimp using data science techniques. The algorithm used was K-means Clustering. The data used was annual production data for each province for the last 3 years (2019 – 2021). Determination of the number of clusters using the Elbow Method. For each commodity, three clusters were obtained, namely clusters with low production, medium production, and high production. For Skipjack Tuna, there were 19 provinces belonging to the low cluster, 13 provinces being medium, and 2 provinces being high. For Tuna, there were 22 provinces in the low cluster, 9 provinces in the middle, and 3 provinces in the high cluster. For Mackarel Tuna, low was 19 provinces, medium was 12 provinces, and high was 3 provinces. For shrimp, 23 provinces were low, 7 provinces were medium, and 4 provinces were high. High production clusters for Skipjack Tuna were North Sulawesi and North Maluku Provinces, Tuna were North Sulawesi, North Maluku and Maluku Provinces, for Mackarel Tuna were Aceh, East Java and Maluku Provinces, and for shrimp were North Sumatra, West Kalimantan, South Kalimantan and East Kalimantan Provinces.

This study aims to analyze the causes of bottlenecks in lip balm production at PT Rumah Rumput Laut by using a survey approach and fishbone diagram analysis method. The research method used is a descriptive method with survey approach which was conducted at PT Rumah Rumput Laut, Bogor Regency, West Java. Data were collected through observations and interviews with related parties in the production process based on previously identified problems. A fishbone diagram was used to identify the factors causing bottlenecks, which were grouped into six main categories, namely: manpower, machine, method, material, measurement, and environment. The results of the fishbone diagram analysis show that bottlenecks in lip balm production are caused by the irregular flow of material transfer, long waiting time for the quality control process, and limited production capacity. To overcome this problem, it is necessary to improve the operator supervision system, implement a regular machine maintenance schedule, rearrange the production space layout, and use technology to monitor machine conditions in real time.