relation: https://khub.utp.edu.my/scholars/2452/ title: Hazard analysis and critical control points (HACCP) in palm oil processing to improve the productivity and food quality of palm oil vegetation in Perak, Malaysia Análisis de Peligros y Puntos Críticos de Control (APPCC) en el procesamiento de aceite de palma para mejorar la productividad y la calidad alimenticia de la vegetación de aceite de palma en Perak, Malasia creator: Nazir, M.S. creator: Abdullah, M.A.B. creator: Ariwahjoedi, B. creator: Yussof, A.W. description: Palm oil processing in Malaysia is the home-grown technology which mainly concerned with the highly educated and skilled person, but the labourers appointed at working sites are unsuspecting and unhandy. Malaysia was assessed with the Hazard Analysis and Critical Control Points (HACCP) System for enhancement of productivity, safety and high quality economic crop. The complete analysis of working area showed that the hazards subsisted at all stages of the process. Twenty Hazard Points are located and their possible solutions also discussed in our study. These actions taken will increase the skillfulness of manpower, enhanced the crop productivity with high quality, ultimately it will help to achieve the best and sustained agri economy of the country. The protocols highly esteemed for minimizing or eventually eradicating palm oil processing hazards. date: 2012 type: Article type: PeerReviewed identifier: Nazir, M.S. and Abdullah, M.A.B. and Ariwahjoedi, B. and Yussof, A.W. (2012) Hazard analysis and critical control points (HACCP) in palm oil processing to improve the productivity and food quality of palm oil vegetation in Perak, Malaysia Análisis de Peligros y Puntos Críticos de Control (APPCC) en el procesamiento de aceite de palma para mejorar la productividad y la calidad alimenticia de la vegetación de aceite de palma en Perak, Malasia. Revista Cientifica UDO Agricola, 12 (1). pp. 198-201. ISSN 13179152 relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877022253&partnerID=40&md5=07101e00ff6ed53bb0a1581911c59c6a