Article Per Year (5 Year)
p-Index From 2020 - 2025
1.126
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) The Indonesian Journal of Computer Science
Sofian Lusa
Fakultas Ilmu Komputer, Universitas Indonesia
Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : The Indonesian Journal of Computer Science

 1 
Melihat lebih lanjut Knowledge Sharing pada Industri Pengembangan Perangkat Lunak: Sebuah Systematic Literature Review terhadap Faktor-Faktor yang mempengaruhi Knowledge Sharing dan Implementasi Praktisnya Ariq Naufal Satria; Ringgi Cahyo Dwiputra; Dana Indra Sensuse; Sofian Lusa; Damayanti Elisabeth
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): 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.v13i4.4306

Abstract

In an organizational context, effective knowledge sharing can provide significant benefits to the organization. Efficient knowledge sharing can enhance the quality of individuals, thereby automatically improving the overall quality and performance of the organization. This process is particularly suitable for companies engaged in activities requiring complex knowledge, such as software development. However, to implement effective knowledge sharing, a company must possess strong internal capabilities. Furthermore, the forms of knowledge sharing implementation can vary depending on the organization. This research aims to identify the influencing factors of knowledge sharing along with their practical implementations within software development in general using systematic literature review. Several studies were obtained to answer the research questions. The results reveal those 40 distinct factors impacting knowledge sharing behavior individual, organizational, and technological aspects. Additionally, 16 different implementations of knowledge sharing were discovered, with knowledge repositories and meetings as the most common practices.
Strategi Manajemen Pengetahuan untuk Mengoptimalkan Operasi Help Desk: Tinjauan Literatur Sistematis Lathiful Alamsyah; Fachri Munandar; Dana Indra Sensuse; Sofian Lusa; Nadya Safitri; Damayanti Elisabeth
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): 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.v14i1.4648

Abstract

In today's digital era, effective knowledge management (KM) is vital for businesses, especially in public sector help desks where user interaction is critical. This systematic literature review (SLR) explores factors influencing KM implementation and identifies strategies to optimize help desk operations. Using PRISMA criteria and the PICO model, 25 studies from 2019 to 2024 were selected after screening 5,490 publications. Key factors impacting KM include organizational culture, leadership support, and technological infrastructure. Recommended strategies involve fostering a knowledge-sharing culture, developing knowledge bases, and utilizing AI for knowledge capture. The findings contribute theoretically by consolidating a framework for KM in help desks and practically by guiding public sector organizations. However, reliance on secondary data limits the study, as it may not fully reflect real-world KM practices. Future research could empirically validate these findings and explore emerging technologies like AI to enhance KM effectiveness.
Understanding User Acceptance towards Case Management System: A UTAUT Analysis Tambunan, Ester Marta; Sensuse, Dana Indra; Sofian Lusa
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): 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.v13i4.3930

Abstract

To improve the quality of case handling administration, the Indonesian National Police (Polri) has implemented a technology-based platform, a Case Management System (CMS). This study employs the UTAUT model to examine the factors influencing the interest of Polri investigators in using the CMS. Data were collected through an online survey distributed to all investigators within the Polri. Multivariate analysis using PLS-SEM was conducted to identify and predict the factors significantly influencing user acceptance. The results indicate that government policies and regulations, performance expectancy, and social influence significantly influence behavioral intentions towards the system, whereas effort expectancy does not. Behavioral intentions and facilitating conditions significantly influence system usage behavior. In conclusion, the UTAUT model demonstrates valid and reliable measurements, as well as a good goodness of fit in predicting investigators’ interest or intention to use the CMS system, which can be utilized for the development of information systems in government agencies.
Faktor-faktor yang Memengaruhi Perilaku Knowledge Sharing di Kalangan Software Developer di Indonesia Ringgi Cahyo Dwiputra; Ariq Naufal Satria; Dana Indra Sensuse; Sofian Lusa; Damayanti Elisabeth
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): 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.v13i4.4125

Abstract

Knowledge sharing is a crucial element for enhancing efficiency in the software development process. However, it proves to be a challenging and complicated task in practice, particularly due to the insufficient knowledge and experience of software developers. The aim of this research is to pinpoint key success factors in knowledge sharing behavior among software developers. Based on Social Cognitive Theory (SCT), the research divides components into three categories: behavioral, environmental, and personal. For a more complete picture, an additional organizational aspect is included. The partial least squares structural equation model was utilized to analyze the data collected from 198 software developers in Indonesia. The findings reveal that motivation, trust, social interaction, organizational culture, reward, and management support positively influence knowledge sharing behavior, while geographical distance has a negative impact. This research contributes by filling a gap in previous research that utilized SCT, broadening the model to identify determinant factors explaining knowledge sharing behavior within an organizational context.
Co-Authors Ariq Naufal Satria Damayanti Elisabeth Dana Indra Sensuse Fachri Munandar Fatoumatta Binta Jallow Ferdian Maulana Akbar Ghina Fitriya Husain Husain Lathiful Alamsyah Nadya Safitri Ridwan Afandi Ringgi Cahyo Dwiputra Robby Hermansyah Sihombing, Boy Sandi Kristian Tambunan, Ester Marta