The University of Bunda Mulia (also known in Indonesian: Universitas Bunda Mulia or simply as "UBM") is one of the major Indonesian private universities, located in North Jakarta, Indonesia.Based on the selection made by the Directorate General of Higher Education from March to June 2006 to more than 2,000 universities in Indonesia, by the method of information filtering using the inputs from EPSBED, BAN PT (Indonesian: Badan Akreditasi Nasional Perguruan Tinggi, which is the National Accreditation Board for Higher-Education), layoffs A1, A2, A3 and B, TPSDP, DUE, QUE and INHERE, as well as from such public TEMPO & Webometrics Weekly Magazine, the result was the election of 156 universities that were considered eligible for the selection to a more advanced stage. In connection with this advanced selection, UBM was selected as one of the universities included in the Promising Indonesian Universities. At that time, in Region III (Indonesian's education region system for the main area coverage of Jakarta, Depok, Tangerang and Bekasi), UBM was ranked one of seven universities were selected (the total number of the participants in the Region III Jakarta is 308).The election of the higher education institutions that fall into the category of Promising Universities, conducted an intensive evaluation mechanism and based on proposals submitted by the universities were selected at an early stage. The selection criteria and weight are as follows:The above five criteria are also used by Asia Week, Times Higher Education & World Top Ranked Universities to determine internationally.The progress of academic and non-academic' reforms by the Indonesian: Yayasan Pendidikan Bunda Mulia (Bunda Mulia's Education Foundation) have produced the increase of number of its graduates, the construction of its new campus situated in the North Jakarta, as well as the new investment in the information technology infrastructure.
This study examines determinants of financial management behavior among Indonesian youth aged, a productive cohort that is central to economic resilience yet faces persistent challenges in budgeting, saving regularity, and long-term planning. Building on behavioral finance perspectives, the framework integrates financial knowledge, financial attitude, and personality to address a documented research gap in Indonesian youth contexts where cognitive explanations are often examined without sufficient integration of affective and psychological factors. Using a quantitative survey design with a five-point Likert scale, data were collected from 435 purposively selected respondents meeting criteria related to age, residence, income/allowance, and active financial management experience. Data were analyzed in SPSS (v25) through instrument testing and multiple regression procedures (validity, reliability, t-test, F-test, and model fit indices). The result is intended to inform youth-focused financial education and policy initiatives by emphasizing integrated interventions that strengthen literacy, cultivate constructive attitudes, and support self-regulatory development through practical learning.
The rapid development of artificial intelligence has accelerated the adoption of chatbots in organizations in Indonesia. But there is no systematic synthesis of the development of this technology in Indonesian context. This research provides a systematic review of the development and implementation of AI chatbots in Indonesia in 2021–2025, with the aim of filling the research gap related to sectoral applications, technological trajectories, and contextual challenges. A systematic literature review was conducted following the PRISMA 2020 guidelines on the Scopus, Google Scholar and arXiv databases to collect 257 initial records. After duplicate removal and a multi-step screening process, 16 high-quality studies were included in the final synthesis. Thematic analysis identified four main findings: (1) AI Chatbots are found in higher education, healthcare, banking, public services, fintech, e-commerce, and SMEs; (2) The technology has evolved from rule-based approaches (AIML, TF-IDF) to machine learning (Seq2Seq LSTM, Rasa+IndoBERT) and the latest large language model integration (GPT-3.5, Vertex AI); (3) Reported impacts include improved user satisfaction (SUS scores 80.1), operational efficiency, and 24/7 service availability; and (4) Existing challenges include accuracy in Indonesian language processing, complexities in system integration, data privacy issues, and varied levels of digital literacy. This review is the first systematic mapping of Indonesia’s AI chatbot landscape and makes evidence-based recommendations for the development of locally-adapted, culturally-sensitive models. Results show that future chatbot development should emphasize Indonesian language datasets and hybrid architectures that combine automation and human oversight.
Developmental crisis episodes are common during emerging adulthood. Evidence from existing research suggests that existential concerns about life’s meaning are prominent during crisis episodes in emerging adulthood, but little quantitative research exists on this topic. The current cross-cultural study investigated the relationships between components of developmental crisis (measured using the 3-factor Developmental Crisis Questionnaire), and meaning in life (measured using the Meaning in Life Questionnaire, which has two factors: search for and presence of meaning in life). The sample comprised 1967 emerging adults across eight countries (Brazil, Czechia, Greece, India, Indonesia, Pakistan, Turkey and the United Kingdom). Two components of developmental crisis – being in transition/turning point and feeling disconnected/distressed – were positively associated with a search for meaning in life. Feeling disconnected/distress and lacking clarity/control were negatively associated with a presence of meaning in life. The findings emphasize the need for organizations and services that focus on supporting young adults in crisis, and that these should provide help with the often-hidden existential sense that life may be lacking meaning, and the corresponding endeavour to search for meaning.
Environmental governance plays a critical role in shaping the effectiveness of sustainability certification implementation in perennial plantation systems, particularly in oil palm plantation landscapes associated with forest transformation and socio-ecological risks. In Indonesia, the Indonesian Sustainable Palm Oil (ISPO) scheme functions as a mandatory certification system aimed at strengthening environmental accountability. However, variations in implementation outcomes suggest that compliance alone does not guarantee effective certification implementation. This study examines how internal governance mechanisms shape ISPO implementation within a specific plantation organizational context by focusing on the transition from compliance-oriented practices to sustainability-oriented commitment. Using survey data from an ISPO-certified plantation in West Kalimantan and applying partial least squares structural equation modeling (PLS-SEM), the study tests a mediation model linking green training effectiveness, sustainable work environment, and environmental compliance transparency to certification outcomes through corporate environmental commitment. The results show that Corporate Environmental Commitment fully mediates the effects of Green Training Effectiveness and Sustainable Work Environment on ISPO Implementation Success, indicating that organizational conditions contribute to certification effectiveness only when they are translated into governance commitment. In contrast, Environmental Compliance Transparency does not significantly influence commitment formation or certification outcomes. These findings suggest that effective certification implementation depends less on procedural compliance and more on the internalization of environmental priorities into organizational governance routines. The study contributes to the environmental governance literature by demonstrating that sustainability certification effectiveness emerges through governance internalization processes rather than through organizational practices alone.
This study examines whether formal risk governance structures are associated with earnings stability in Indonesian commercial banks. Using a balanced panel of 100 banks over FY2020–FY2024 (500 bank-year observations) drawn from public disclosures, we test whether Risk Management Committee size and board risk expertise predict earnings volatility, measured as the rolling three-year standard deviation of return on assets. Across pooled OLS, random effects, fixed effects, correlated random effects, first-difference and system GMM estimators, and across alternative volatility windows and lag structures, neither governance variable exhibits a robust association with earnings volatility. One fixed effects specification yields a significant negative coefficient on committee size, but it does not survive alternative windows, lags or dynamic estimation. The null is informative rather than underpowered: the design detects effects as small as 10.7% of mean earnings volatility. A parallel credit-risk model yields only weak evidence for board risk expertise (p = 0.076). Earnings stability is instead explained by the persistence of volatility, bank size and ownership-based business models, with regional development banks markedly the most stable. Indonesia’s COVID-19 loan restructuring relaxation also compressed the dependent variable. The findings caution against treating observable governance structures as sufficient indicators of earnings quality.
