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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) bit-Tech Jurnal Impresi Indonesia Proceeding of International Conference Health, Science And Technology (ICOHETECH) Journal of Business, Social and Technology Eduvest - Journal of Universal Studies Jurnal Ragam Pengabdian
Sofian Lusa
Universitas Indonesia
Religion Aerospace Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Social Sciences Other

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Junior Class Preparedness Classification Faces A National Exam Using C.45 Algorithm with A Particle Swarm Optimization Approach Asep Suherman; DIDI KURNAEDI; Sofian Lusa; Rizqi Darmawan
bit-Tech Vol. 2 No. 3 (2020): Pandemik ICT
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i3.133

Abstract

These studies are counter to a trend of falling students' graduation rates on the national exam. This is because of the way students prepare their readiness to face national tests is inaccurate. On this study the hybrid method c4 algorithm.5 and the swarm particle optimization to produce a class readiness of students with high and accurate accuracy. This research suggests that by using hybridmethodC4.5 andParticle Swarm Optimizationgenerates accuracy as 97.13 %, Precisionas 96,58 %, andRecallas 100 %. Then implemented through a web-based prototype application using programming javascriptlanguage.
Measuring the effect of Users' Privacy Concerns on the Use of Jakarta Smart City Mobile Application (JAKI) Arif Wahyudi; Mirza Triyuna Putra; Dana Indra Sensuse; Sofian Lusa; Prasetyo Adi; Assaf Arief
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4544

Abstract

Jakarta Kini (JAKI) is a super-app developed by Jakarta Smart City that offers a one-stop service to help citizens connect and communicate with the Government. It is undeniable that the use of mobile applications can indeed facilitate people's activities, but on the other hand, it also poses risks and raises concerns in terms of privacy. The purpose of this study is to assess the impact of users' privacy concerns on their tendency to use the JAKI mobile application. To measure the privacy concern, we conduct an online survey of the users of JAKI. The hypothesis and research model were formulated to assess the users' privacy concerns based on the Mobile Users' Information Privacy Concerns (MUIPC) theory, with additional factors, namely prior privacy experience and awareness, as the antecedents. As a result, we found that MUIPC had a significant effect on negatively influencing the intention to use the JAKI application. Our study contributes as a starting point in exploring privacy research in the context of a smart city in Indonesia. Additionally, this study proved that the IPC scales that were originally designed for English-based countries could also be adapted to Bahasa Indonesia and utilized in the Indonesian context.
KM Maturity Assessment of Telecommunication Company in Indonesia using G-KMMM Hanif Sudira; Putra Tresna Linge; Tsaqif Alfatan Nugraha; Damayanti Elisabeth; Sofian Lusa; Dana Indra Sensuse
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (644.207 KB) | DOI: 10.47701/icohetech.v1i1.1120

Abstract

The knowledge that has a relationship with the organization directly or indirectly affects an organization's sustainability. For this reason, a company, at least to survive, must have a good knowledge management process. TLCO is one of the largest telecommunication companies engaged in information and communication technology (ICT) services and telecommunications networks in Indonesia. TLCO plans to transform into a digital telecommunication company to adapt to changes in the telecommunications industry, taking place very quickly. It is necessary to know the maturity level of Knowledge Management as one aspect that can be used as TLCO readiness to transform into a digital company. This study aims to assess the maturity level of knowledge management in TLCO using G-KMMM and provide recommendations related to knowledge management for improvement. Data collection used a questionnaire to several people within the directorate at TLCO. Based on the assessment conducted using the GKMMM model with questionnaire data, the maturity level of knowledge management in TLCO is at level 2 or awareness.
Knowledge Management System Adoption Approach and the Critical Success Factors in Small Medium Enterprise: A Systematic Literature Review Agnes Agnes; Ajie Tri Hutama; Dana Indra Sensuse; Sofian Lusa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.4954

Abstract

Knowledge is a substantial factor in an organization; therefore, the successful implementation of Knowledge Management (KM) or Knowledge Management System (KMS) is important for many organizations. This applies both for large companies and for companies categorized as Small Medium Enterprise (SME). How each company finds a solution to deal with KM problems, how to adopt KMS in its company structure, and what critical success factors (CSF) must be highlighted to implement those KMS often vary depending on the size of the organization. Regarding this issue, this study aims to find out how the adoption approach and CSF are used in the implementation of KM / KMS in SME. However, this study can also improve the state-of-the-art for KM / KMS implementation in SME and the important CSF in implementing it. In this review of the literature, a systematic review was performed with the steps as follows: (1) structure the research question, (2) define inclusion-exclusion criteria, (3) evaluation of paper quality, and (4) data extraction. The study found that in the last 5 years from the time when this research is conducted, TABLE 1 which is from 2016 to 2021, SME has been using many methods like training, meeting, sharing session, repository, and research as part of their KM / KMS adoption approach. We found also in the last 5 years that the CSF for implementing KM / KMS in SME is as follows: organization structure and flexibility, organization culture towards KM adoption, the quality of the knowledge, and communication within and across areas in the organization. communication within and across areas of the organization, and the team works within and across areas of the organization. SMEs can use this research as a guide to implement KM / KMS in their organization.
The Role of Organizational Culture in Driving Knowledge Management and Reducing Customer Complaints: A PLS-Sem Study at PT Xyz Rizki Kurniawan; Aji Baskoro; Dana Indra Sensuse; Nadya Safitri; Sofian Lusa
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51215

Abstract

High rates of unresolved customer complaints and the absence of structured Key Performance Indicators (KPI) and transparent incentives present significant challenges for PT XYZ, a telecommunications company. These issues undermine employee motivation, operational efficiency, and customer satisfaction, ultimately threatening the company’s profitability and competitive positioning. This study analyzes how Organizational Culture influences Knowledge Management, impacting KPI, System Incentives, and Customer Complaints in a telecommunications company. Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, the findings reveal that Organizational Culture significantly enhances Knowledge Management, which serves as a critical mediator in driving organizational effectiveness. The study highlights the strong and significant relationships between Knowledge Management and internal processes, such as KPI and incentive systems, as well as its moderate impact on reducing customer complaints. The results confirm the mediating role of Knowledge Management in linking Organizational Culture to both operational efficiency and customer satisfaction. These findings emphasize the importance of fostering a strong organizational culture to support knowledge-sharing practices, enabling companies to achieve their strategic goals. Future research could expand on these findings by exploring additional mediating variables or applying the model to other industries.
Knowledge Management Success Factors for Indonesia Local Government: Case Study Pontianak City Government Irni Irmayani; Sabrina Editha Putri; Dana Indra Sensuse; Sofian Lusa; Nadya Safitri; Damayanti Elisabeth
Eduvest - Journal of Universal Studies Vol. 5 No. 12 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i12.52446

Abstract

In Indonesia's e-Government, knowledge management is one of mandatory indicators that must be implemented at both the central and local government levels. Unfortunately, the use of knowledge management in Indonesia's local government is still very lacking. This condition is reflected in the e-government management index score at the city level nationally in 2024, which only reached 2.03, categorized as sufficient. However, knowledge management is a crucial foundation for the development of public services and innovation in local government. The aim of this study is to identify the Critical Success Factors (CSF) for the implementation of knowledge management in the Pontianak City Government through survey and interview methods. Data analysis was conducted using Structural Equation Modeling-Partial Least Square, with knowledge management as the latent variable. The results of the study suggest that innovation, measurement, regulation and technology adoption have a significant positive impact on knowledge management implementation strategies in local government. Thes success factors are the used as guidelines for developing knowledge management strategies in the Pontianak City Government, and local government in general.
Explainable Ensemble Learning for Transparent and Efficient Zakat Scholarship Selection Khalid Jasir; Nadya Safitri; Sofian Lusa; Dana Indra Sensuse
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52639

Abstract

Education financial assistance funded by Zakat, Infaq, and Waqf holds significant potential to support sustainable higher education. Islamic Trust Fund Ar-Raniry faces challenges in the scholarship selection process due to manual processing. This condition leads to operational inefficiency and raises concerns of subjectivity due to a lack of transparency in rejection or acceptance decisions. This study aimed to improve efficiency, objectivity, and transparency of the selection process with a Decision Support System. The study conducted a Decision-Oriented Diagnosis and Feasibility Study to understand the decision-making process. The design of a Decision Support System employed Unified Modeling Language. A prototype created using Low-code/No-code development tools following the Rapid Application Development methodology, while model development adhered to the Cross-Industry Standard Process for Data Mining. The best classification model is a Soft Voting Ensemble of Naïve Bayes, K-Nearest Neighbors, and Support Vector Machine (SVM) with Synthetic Minority Oversampling Technique (SMOTE). The model achieved an Accuracy of 75.63%, a Macro Precision of 72.80%, Minority Class Precision of 65.96%, Macro Recall of 71.16%, Minority Class Recall of 57.41%, F1-score of 71.79%, and AUC ROC of 69.57% in Holdout Testing. Local Interpretable Model-Agnostic Explanation explained the classification results. The main factor affecting classification for the Accepted class is the Fee Level. The implementation resulted in integrated data and automated business processes. Thereby supporting the acceleration of an efficient, objective, and transparent selection process. An implementation strategy was formulated, including parallel conversion, computer-based training, and system support and maintenance.
Understanding the Determinants of User Continuance Intention on Indonesia's E-Government Web Portal Tommy Putra Pratama Gunawan; Irni Irmayani; Dana Indra Sensuse; Sofian Lusa; Nur Indrawati
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52769

Abstract

This current research seeks to explore various factors that can influence the sustainable use of SIPPN, as an Indonesian national public service information portal. The quantitative PLS-SEM approach was adopted for the research with 140 user respondents across Indonesia. This research uses Information Quality, Efficiency, Accessibility, Service, System performance, Design and Usability, Citizen Participation, Quality Perception, Citizen Satisfaction and User Intention as the factors. As per analysis results, Efficiency, System Performance and Citizen Participation have a significant influence on Quality Perception and Citizen Satisfaction. Quality Perception and Citizen Satisfaction have a high impact on user intention to continue the use of the SIPPN portal. Study findings confirm SIPPN as an established strategic national public information portal comparable to other similar portals at international level.  To make the portal more efficient, inclusive and a global-standard one-stop national public service information portal, its interoperability and user feel must improve, as well as system performance.
A Systematic Literature Review of Supporting Factors for Big Data Analytics (BDA) in Public Sector Auditing Retisa Heryati Siwi; Gesi Deta Hendika Wardani; Dana Indra Sensuse; Sofian Lusa; Nurcholis Ramlan
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.52986

Abstract

The application of Big Data Analytics (BDA) in auditing offers significant benefits, including increased accountability and transparency, as well as reduced operational costs. BDA is also expected to improve the quality and reliability of audit results used for decision-making. The role of BDA in public sector auditing is crucial, as it helps detect anomalies or fraud, enhance oversight, and evaluate implemented policies. Despite its benefits, the application of BDA in public sector auditing still faces various challenges that need to be addressed. This study aims to analyze the factors that support the implementation of BDA in public sector auditing and identify the challenges encountered during its implementation. This research uses a systematic literature review (SLR) approach with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. The study also employs the Content Validity Index (CVI) to validate the relevance of the identified factors and their classification. The results reveal eight factors that support the use of BDA in public sector auditing: perceived organizational benefits; process management; data privacy, security, and governance; data quality; people aspects; auditor aspects; organizational aspects; and systems, tools, and technologies. Public sector auditing needs to consider these factors when implementing BDA to improve audit effectiveness, efficiency, and the quality of oversight. Proper implementation of BDA can strengthen transparency and accountability in public financial management and policy oversight.
Enhancing Master Data Management Maturity: A Case Study of Institution XYZ Gesi Deta Hendika Wardani; Retisa Heryati Siwi; Dana Indra Sensuse; Sofian Lusa; Nurcholis Ramlan
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.53117

Abstract

Data has become a strategic asset that supports decision-making in the digital era. Master Data Management (MDM) is used to assure quality, accuracy, and consistency of master data. However, government electronic certification services face challenges related to data inconsistencies due to the use of two applications with separate databases. This study assessed the MDM maturity level in government electronic certification services (Institution XYZ) using the Spruit & Pietzka Master Data Management Maturity Model (MD3M). It then provided improvement recommendations aligned with the Data Management Body of Knowledge (DMBOK). The research applied five domains: data model, data quality, use and ownership, data protection, and maintenance, encompassing 62 required capabilities. Data were collected through interviews with the data management team. The results indicated that 69.36% of the capabilities in the MD3M model had been implemented.This study identified areas for improvement in master data management within government electronic certification services and provided strategic recommendations to enhance data management effectiveness. This approach is expected to support more effective, secure, and standardized data management in accordance with organizational and regulatory requirements.
Co-Authors Agnes Agnes Aji Baskoro Ajie Tri Hutama Arif Wahyudi Asep Suherman Assaf Arief Damayanti Elisabeth Dana Indra Sensuse Darmawan, Rizqi Dewi Mutiara Nurani Didi Kurnaedi Gesi Deta Hendika Wardani Hanif Sudira Iindra Iriyanti Irni Irmayani Isnina Eva Hidayati Khalid Jasir Mirza Triyuna Putra Muhammad Rizki Mutia Sayyidah Nadya Safitri Nur Indrawati Nurcholis Ramlan Prasetyo Adi Putra Tresna Linge Retisa Heryati Siwi Rizki Kurniawan Sabrina Editha Putri Tommy Putra Pratama Gunawan Tsaqif Alfatan Nugraha