MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03397ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251125110901.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
t||||fs|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240530t20232023my a|||fs|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
THE0009864 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
PSM .S27 2023 r Bc |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sarah Batrisyia Binti Morshidi , |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Statistical analysis for factors affecting the annual return submission to suruhanjaya syarikat malaysia / |
| Statement of responsibility, etc. |
Sarah Batrisyia Binti Morshidi |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang: |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii , 48 pages : |
| Other physical details |
Illustration (some colour) ; |
| Accompanying material |
1 CD-ROM. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Center for Mathematical Sciences |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Bachelor of Applied Science in Data Analytics with Honours -- Universiti Malaysia Pahang – 2023 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical reference |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Suruhanjaya Syarikat Malaysia (SSM) is a public body formed by the merger of the Malaysian Register of Companies (ROC) and the Register of Companies (ROB) that regulates businesses and companies. As a leading institution for improving corporate governance, SSM ensures company registration and compliance with the Companies Act through comprehensive enforcement and monitoring activities to maintain the positive development of the country's enterprises and business sectors. SSM regulates companies and businesses, every year each company or business is required to file an annual return with SSM. Annual return is required to be filed each year, but there are still lawbreakers who do not file their annual return or struggle to do so on time. Faced with this problem, this study aims on finding the factors that lead to these types of problems, seeks the most significant factors that affect the annual return submission and creates a predictive model using polynomial regression model to forecast the number of annual return submissions. This study would be using both descriptive and predictive approach to achieve all the objectives. Through this research, SSM will be able to gain insight on how to greatly simplify document submissions to avoid this issue in the future. Data that would be used to achieve the objective of this study are number of annual return submissions, number of companies’ secretaries resign, total winding up of companies, total striking off companies, natural disasters occurrence in Malaysia, gross domestic product (GDP), total of corruption complaints in Malaysia, exchange rate and consumer price index (CPI). All the data is collected monthly and obtained from SSM as well as other open data sources. Based on the findings, all the factors have a weak correlation against the number of annual return submission to SSM. The highest correlation recorded is 0.38 which is the total count of companies strike off. The most significant factor impacting the annual return submission to SSM is the GDP with a polynomial degree two since it has the smallest p-value among the other regressors. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Center for Mathematical Sciences |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Final Year Project |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Final Year Report |