Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi The Indonesian Journal of Computer Science
Hartanto, Adi
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Organizational Culture Factors to Improve Knowledge Sharing Process: A Systematic Literature Review Hidayat, Ilatifah Nur; Hartanto, Adi; Sensuse, Dana Indra
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3549

Abstract

Knowledge has become a critical aspect and asset of the organization. Thus, to gain benefits from knowledge, organizations must be able to manage that knowledge effectively. One of the processes in knowledge management is knowledge sharing. An important factor in an organization that can influence knowledge sharing is organizational culture. This research was conducted to explore aspects of organizational culture in the knowledge sharing process. This research uses the systematic literature review (SLR) method by Kitchenham to find out what organizational culture can facilitate and hinder the knowledge sharing process. Researchers found 17 journals that were used as sources in compiling a list of organizational cultures that influence knowledge sharing. Based on the research results, it was found that collaboration and top management support aspects are organizational culture factors that can improve the knowledge sharing process. Then, for the knowledge barrier aspect, time constraints were found to be the most frequently discussed factor.
Implementation of Content Based Filtering Algorithm in Comic Recommendation System Alana, Reyhan; Hartanto, Adi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.2944

Abstract

Currently, the interest of comic readers in Indonesia is increasing and has become a popular culture. With so many comics released each year, it makes it difficult for the readers to find comics that fulfill their criteria, therefore the recommendation system becomes a feature that is quite important and has a role in helping the readers. The data used is comic data totaling 1219 comics, with details of 471 physical comics published by Elex Media Komputindo publishers and 748 digital comics released on the Line Webtoon Indonesia platform. This research uses the Content Based Filtering algorithm because it only utilizes title and synopsis data from the comic. The Cosine Similarity method is used to calculate the similarity value of a comic data with the criteria that has been entered and can test the data 10 times until the system successfully gives suitable comic recommendations with an average precision score of 94.86%.
Co-Authors Alana, Reyhan Dana Indra Sensuse Hidayat, Ilatifah Nur