Analysis Of Time Motion Study Comparison For Coconut Husk Processing With Coconut Husk Crushing Machine Assistive Tool

Background. Entrepreneurs utilize abundant raw materials by making coconut husk, which is the main ingredient in making coconut husk brooms. However, many still use conventional methods to process it, such as pounding it until it becomes fiber. Aim. To be carried out effectively, it is deemed necessary to have technological assistance, such as the Coconut Husk Shredding Machine. Methods. However, to ensure that the aid has improved the effectiveness of the coconut husk shredding process, it is necessary to analyze and compare the time motion study between the two methods. By comparing the Standard Time between the two methods, Result. We can determine the extent of the difference, allowing us to quickly estimate the amount of product produced from coconut husk shredding within a specific time frame or how long it takes to process the available amount of coconut husk. Conclusion. The research and time motion study analysis results in an activity of shredding coconut husks using conventional methods and machines, which aligns with the hypothesis that shredding coconut husks using machines is 2.91 minutes faster than traditional methods. Implication. This work time measurement recommendation can be used as a standard time measurement in shredding coconut husks using conventional and machine methods.

Authors

Institutions

Publication Details

Journal
Jurnal Improsci
Published
2025-02-12
DOI
https://doi.org/10.62885/improsci.v2i4.615
Primary Topic
Coconut Research and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis Of Time Motion Study Comparison For Coconut Husk Processing With Coconut Husk Crushing Machine Assistive Tool

Arif Nurudin, Andi Hermawan, Muhammad Nana Trisolvena
Jurnal Improsci
Coconut Research and Applications
article

Analysis Of Time Motion Study Comparison For Coconut Husk Processing With Coconut Husk Crushing Machine Assistive Tool

Arif Nurudin, Andi Hermawan, Muhammad Nana Trisolvena
article en

Abstract

Background. Entrepreneurs utilize abundant raw materials by making coconut husk, which is the main ingredient in making coconut husk brooms. However, many still use conventional methods to process it, such as pounding it until it becomes fiber. Aim. To be carried out effectively, it is deemed necessary to have technological assistance, such as the Coconut Husk Shredding Machine. Methods. However, to ensure that the aid has improved the effectiveness of the coconut husk shredding process, it is necessary to analyze and compare the time motion study between the two methods. By comparing the Standard Time between the two methods, Result. We can determine the extent of the difference, allowing us to quickly estimate the amount of product produced from coconut husk shredding within a specific time frame or how long it takes to process the available amount of coconut husk. Conclusion. The research and time motion study analysis results in an activity of shredding coconut husks using conventional methods and machines, which aligns with the hypothesis that shredding coconut husks using machines is 2.91 minutes faster than traditional methods. Implication. This work time measurement recommendation can be used as a standard time measurement in shredding coconut husks using conventional and machine methods.

Jurnal ImprosciVol. 2(4)
Universitas Muhammadiyah Jember (ID), Universitas Muhammadiyah Cirebon (ID)
Openalex Percentile: Top 97%
Coconut Research and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.