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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Eduvest - Journal of Universal Studies Jurnal INFOTEL
Muharman Lubis
Telkom University, Indonesia
Aerospace Engineering Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Neuroscience Social Sciences

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LLM-Based Interview Bot for Student Big Five Assessment and Career Recommendation Sang Dara Parameswari; Muharman Lubis; Sinung Suakanto; Jan M. Pawlowski
JURNAL INFOTEL Vol 18 No 1 (2026): February
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i1.1456

Abstract

The development of Artificial Intelligence (AI) and Natural Language Processing (NLP) offers new opportunities to make psychological assessments more interactive and meaningful. However, personality tests such as the International Personality Item Pool – Big Five Factor Markers (IPIP-BFM-50) still rely on static self-report questionnaires, which may limit engagement and contextual interpretation. This study proposes an InterviewBot-based Big Five Personality system (IB-B5P) that combines rule-based IPIP scoring with Large Language Model (LLM)-driven conversational assessment using GPT-3.5 Turbo. The system generates both quantitative personality scores and qualitative narrative profiles. Evaluation results show moderate to strong correlations (r = 0.31–0.71) between IB-B5P and IPIP scores, with Openness and Extraversion showing statistically significant relationships. These findings suggest that the hybrid rule–LLM approach can approximate IPIP tendencies while providing richer context-aware interpretations. The novelty of this study lies in integrating LLM-based conversational intelligence with a standardized psychometric framework, with potential applications in career guidance, educational counseling, and digital psychological assessment in higher education.
Strategies for Human Resources Information System Management with Work Unit-Based Performance Management Ridwan Setiadi; Muharman Lubis; Mochamad Teguh Kurniawan
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.v5i12.52567

Abstract

Effective human resource management (HRM) is crucial for enhancing organizational performance, especially in the digital transformation era. Many Indonesian institutions still use uniform administrative performance management systems without considering the specific functions and tasks of work units. This research aims to design an HRIS management strategy with work unit-based performance management to improve fairness, transparency, and employee motivation. A qualitative case study was conducted at University XYZ in West Java, focusing on non-teaching staff in one faculty. Data were collected through in-depth interviews with 15 informants, document analysis, and direct observation. Thematic analysis identified three main problems: (1) uniform performance assessments that do not accommodate work unit task diversity, (2) low integration of IT and performance assessment systems, and (3) lack of objectivity and transparency in the evaluation process. Based on these findings, the research proposes an HRIS design with a work unit-specific KPI module, real-time performance monitoring dashboard, automated evaluation workflow, and transparent reporting system. The system architecture follows a three-tier model: presentation layer, application layer, and data layer. The implementation of this HRIS is expected to improve performance assessment accuracy by 35%, reduce administrative time by 40%, and increase employee satisfaction with the evaluation system by 50%. This research contributes to HRM literature, especially in integrating information systems with contextual performance management, and offers guidelines for designing fairer and more effective performance assessment systems in higher education.
Integrasi Sistem Reward dan Penilaian Kinerja Berbasis KPI dalam Mendukung Knowledge Management pada Layanan Pelanggan Digital Muhammad Edwinsyah; Fairuz Fernanda Hermawan; Ledi Dinayatullah; Muharman Lubis
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.900

Abstract

In the digital service era, the role of Knowledge Management (KM) becomes increasingly critical in ensuring efficient, responsive, and high-quality customer interactions. However, the effectiveness of KM implementation is not only determined by technological infrastructure, but also by the motivation and active participation of service agents. This study examines the integration of reward systems and Key Performance Indicator (KPI)-based performance appraisal in supporting KM practices within digital customer service environments. Using a Systematic Literature Review (SLR) method and a reflective case study of the live chat service unit of a leading Indonesian e-commerce company (Bukalapak), this research reveals how reward mechanisms and KPI structures influence knowledge sharing behaviors, agent performance, and service quality. The findings indicate that hybrid KPI systems combining quantitative metrics (such as response time and CSAT) and qualitative assessments (such as communication quality) alongside tiered reward schemes, significantly enhance agent engagement and knowledge utilization. Additionally, continuous feedback from the Quality Assurance team strengthens organizational learning and service innovation. This study offers theoretical and practical contributions in designing integrated strategies to reinforce KM through performance measurement and motivation systems in digital service sectors.
Co-Authors Fairuz Fernanda Hermawan Jan M. Pawlowski Ledi Dinayatullah Mochamad Teguh Kurniawan Muhammad Edwinsyah Ridwan Setiadi Sang Dara Parameswari Sinung Suakanto