TELKOMNIKA Telecommunication, Computing, Electronics and Control
Mapping log data activity using heuristic miner algorithm in manufacture and logistics company
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Mapping log data activity using heuristic miner algorithm in manufacture and logistics company
Mapping log data activity using heuristic miner algorithm in manufacture and logistics company
Subject
Heuristic miner
Log data
Logistics
Manufacturing
Python
XML
Log data
Logistics
Manufacturing
Python
XML
Description
Strategies for the procurement of goods and services are essential for
companies in Indonesia's manufacturing and logistics sectors. The solution to
reducing the existing problem is to make a mapping plan, such as verifying
documents from each department, so that it takes a long time, resulting in many
issues, such as procedural misuse findings. Heuristics miner algorithms get
data to form logs that consist of goods and services procurement activities.
Processing log data into XML data (data extraction), which produces a
dependency model and business and casual matrix (discovery process), then
determines the value of fitness and precision (suitability) called the conformity
checking phase process. This phase aims to produce a new business (process
enhancement phase), which will create a solution to the risk of delay and
procedural abuse. The results of each of these processes rank each stage of the
procurement of goods and services sequentially and together to provide time-
efficient and accurate decisions, resulting in project implementation
comparable to the company's business strategy. Implement the heuristics
miner algorithm using the Python programming language.
companies in Indonesia's manufacturing and logistics sectors. The solution to
reducing the existing problem is to make a mapping plan, such as verifying
documents from each department, so that it takes a long time, resulting in many
issues, such as procedural misuse findings. Heuristics miner algorithms get
data to form logs that consist of goods and services procurement activities.
Processing log data into XML data (data extraction), which produces a
dependency model and business and casual matrix (discovery process), then
determines the value of fitness and precision (suitability) called the conformity
checking phase process. This phase aims to produce a new business (process
enhancement phase), which will create a solution to the risk of delay and
procedural abuse. The results of each of these processes rank each stage of the
procurement of goods and services sequentially and together to provide time-
efficient and accurate decisions, resulting in project implementation
comparable to the company's business strategy. Implement the heuristics
miner algorithm using the Python programming language.
Creator
Syafrial Fachri Pane, Rolly Maulana Awangga, M. Amran Hakim Siregar, Dinda Majesty
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Nov 25, 2020
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Syafrial Fachri Pane, Rolly Maulana Awangga, M. Amran Hakim Siregar, Dinda Majesty, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Mapping log data activity using heuristic miner algorithm in manufacture and logistics company,” Repository Horizon University Indonesia, accessed September 21, 2024, https://repository.horizon.ac.id/items/show/3820.
Mapping log data activity using heuristic miner algorithm in manufacture and logistics company,” Repository Horizon University Indonesia, accessed September 21, 2024, https://repository.horizon.ac.id/items/show/3820.