This research was conducted with the aim of: 1) To observe growth and production of maize genotypes hybrid candidate early age, 2) Determine optimal spacing that will result in maximal production of genotype hybrid candidate early maturing and 3) To know interaction between maize genotypes hybrid candidate of early maturing and plant spacing. Research was conducted on dry land located in Bajeng, Gowa, South Sulawesi. Research was conducted from April to July 2017 using Split Plot Design method. As the main plot is the maize genotype consisting of 3 genotypes: ST201328, ST201359, ST201312 and varieties comparison Bima 7 while for sub plot is treatment the various spacing between two levels are: 60 cm x 20 cm and 50 cm x 20 cm. Treatment combination was repeated three times as a block to obtain 24 experimental units. The results of this research show that: 1) Maize genotype ST201328 is maize early maturing hibrid has appearance shortest plant, fastest flowering male age as well flowering female, smallest Anthesis Silking Interval (ASI), fastest harvest age and longer cob. Genotype ST201312 has appearance highest plant, greatest Anthesis Silking Interval, greatest Leaf Area Index and longest cob. 2) Plant spacing 50 cm x 20 cm obtained high Leaf Area Index and highest location cob. Average highest production dry seeds on plant spacing 50 cm x 20 cm for all maize genotypes tested. 3) Interaction that happaned between maize genotype ST201312`on plant spacing 60 cm x 20 cm obtained longest cob is 18,07 cm and differs markedly with varieties comparison Bima 7. Maize genotype ST201312 on plant spacing 50 cm x 20 cm obtained yield dry cheeks is amount 10,58 ton ha-1 .
Purpose: Frequent damage to the mill roll machine at the mill station and the absence of special attention to scheduling repairs, this research is expected to make scheduled maintenance intervals and maintenance strategies for mill roll machines at the mill station to reduce downtime and anticipate sudden downtime on the machine. Design/methodology/approach: This study uses the Reliability Centered Maintenance (RCM) method approach to create the most efficient maintenance program by eliminating unnecessary maintenance activities, reducing overhaul frequency, minimizing downtime, minimizing the risk of sudden failure, focusing maintenance on critical components, and improving component reliability. Findings: The results of this study show that there are two strategies used in mill roll machine maintenance, namely preventive maintenance, and corrective maintenance. Research limitations/implications: This study focuses on critical components that often experience damage to the mill roll machine, namely standard milk check, feeder roll, scrapper, and chute components, and does not consider the cost aspect. Practical implications: The results of this study provide input to the company's interval time scheduling and machine maintenance strategy. Originality/value: This research was conducted in the production department of the milling station at PT Perkebunan Nusantara XIV Camming Sugar Factory in Bone Regency, where the production results include white crystal sugar, blotong, and molasses. Research to analyze machine reliability, minimize downtime and propose maintenance schedules and SOPs for maintaining production machinery at Camming Sugar Factory.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.