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Analysis of Religiosity, Trust in Leader, and Team Cohesion on Green Organizational Citizenship Behavior Mediated by Green Employee Engagement Arifin, Noor; Muafi, Muafi; Yulianto, Dwi Hery; Veisz, Adrienn
Jurnal Manajemen Bisnis Vol. 15 No. 1: March 2024
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mb.v15i1.21620

Abstract

Research aims: This study aims to analyze the impact of religiosity, trust in leaders, and team cohesion on green organizational citizenship behavior (Green OCB) through green employee engagement.Design/methodology/Approach: The study was conducted on 315 employees of Bank Syariah Indonesia using a multiple-stage cluster sampling technique with a purposive sampling method. Data was collected through a validated and reliable questionnaire, and analyzed using the Amos SEM application for hypothesis testing. Research finding: The research shows that religiosity significantly affects green employee engagement (P = 0.000). Trust in the leader, on the other hand, has an insignificant effect on green employee engagement (P = 0.426). Additionally, team cohesion has a significant effect on green employee engagement (P = 0.000). Furthermore, religiosity and team cohesion significantly affect Green OCB, with values of P = 0.002 and P = 0.028, respectively. Trust in the leader was found to have an insignificant effect on Green OCB (P = 0.680). It is important to note that trust in the leader did not significantly affect Green OCB after Z-testing. However, green employee engagement was found to mediate the relationship between religiosity and team cohesion on Green OCB, with values of (P = 0.003) and (P = 0.012), respectively. Theoretical Contribution/originality: This research contributes to the theory regarding the relationship between religiosity and trust in leaders within the context of green employee engagement. However, it indicates that trust in leaders does not appear to influence Green OCB. Instead, the study suggests that religiosity and team cohesion may play a significant role in increasing Green OCB. Additionally, the research underscores the mediating role of green employee engagement in the relationship between religiosity, trust in leaders, team cohesion, and Green OCB, particularly among employees in Islamic banking companies. Practitioners Contribution/implications: This research provides guidance for practitioners in Islamic banking to implement business models, with a particular emphasis on the importance of reliability for employees and leaders. This emphasis stems from its significant impact on the implementation of green management within the company. Research limitation/implications: The research data relies on perceptual measures, which may not fully capture the behavior of all respondents. Future research should consider factors such as the distribution of respondents, the frequency and timing of longitudinal studies, and other relevant variables that can be integrated into the model to provide a more comprehensive understanding.
Penerapan E-Learning iKnow Sebagai Media Knowledge Management dalam Meningkatkan Kinerja Karyawan di PT Angkasa Pura Indonesia Kantor Cabang Bandara Adisutjipto Yogyakarta Eep Saepul Muarip; Muafi Muafi
Community Engagement and Emergence Journal (CEEJ) Vol. 7 No. 4 (2026): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v7i4.10706

Abstract

Transformasi digital mendorong organisasi untuk mengelola pengetahuan secara lebih sistematis guna meningkatkan kompetensi dan kinerja sumber daya manusia. Salah satu pendekatan yang digunakan perusahaan adalah penerapan sistem e-learning sebagai media knowledge management. PT Angkasa Pura Indonesia Kantor Cabang Bandara Adisutjipto Yogyakarta telah menerapkan platform e-learning bernama iKNOW sebagai sarana pembelajaran digital bagi karyawan. Sistem ini berfungsi sebagai media penyimpanan materi pelatihan, sarana distribusi pengetahuan, serta alat untuk mendukung proses pembelajaran yang fleksibel di lingkungan kerja. Penelitian ini bertujuan untuk memahami penerapan sistem e-learning iKNOW sebagai media knowledge management, mengetahui persepsi karyawan terhadap penggunaannya, serta menganalisis pengaruhnya terhadap peningkatan kinerja karyawan. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Data penelitian diperoleh melalui wawancara mendalam dengan karyawan yang menggunakan platform iKNOW serta melalui analisis dokumentasi berupa modul pembelajaran yang tersedia pada sistem. Hasil penelitian menunjukkan bahwa sistem iKNOW telah berfungsi sebagai media pembelajaran digital yang mendukung proses pengelolaan pengetahuan dalam organisasi. Karyawan menilai bahwa platform tersebut memberikan kemudahan dalam mengakses materi pelatihan secara fleksibel sesuai dengan kebutuhan pekerjaan. Penggunaan iKNOW juga membantu meningkatkan pemahaman karyawan terhadap prosedur kerja serta mendukung efisiensi dalam penyelesaian tugas. Selain itu, sistem ini juga membantu proses berbagi pengetahuan antar karyawan serta mempercepat adaptasi terhadap perubahan kebijakan atau sistem kerja di perusahaan. Meskipun demikian, beberapa kendala masih ditemukan seperti keterbatasan interaksi dalam pembelajaran daring serta adanya kendala teknis pada sistem. Secara keseluruhan, penerapan e-learning iKNOW berperan sebagai media knowledge management yang mendukung peningkatan kinerja karyawan.
DISEMINASI ALAT BANTU VISUALISASI BERBENTUK AKRILIK FRAME PADA PRODUK KAIN BATIK DI DESA KEBON INDAH BAYAT KLATEN JAWA TENGAH Muchammad Sugarindra; Muafi Muafi
Devote: Jurnal Pengabdian Masyarakat Global Vol. 4 No. 2 (2025): Devote : Jurnal Pengabdian Masyarakat Global, Juni 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/devote.v4i2.3879

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk (1) memperkenalkan dan mensosialisasikan alat visualisasi produk kepada kelompok pengrajin, (2) memberikan pelatihan teknis penggunaan alat tersebut, serta (3) mendorong adopsi alat visualisasi sebagai bagian dari strategi promosi produk batik lokal. Kegiatan dilakukan dengan metode sosialisasi dan demonstrasi. Kegiatan diikuti oleh 35 ibu-ibu pengrajin batik Desa Kebon. Kegiatan berlangsung lancar, efektif, dan mendapatkan respons positif dari peserta. Kombinasi antara penyampaian informasi dan praktik langsung terbukti mampu meningkatkan pemahaman peserta tidak hanya tentang pentingnya visualisasi, tetapi juga keterampilan teknis untuk menerapkannya secara mandiri. Kegiatan ini menjadi langkah awal yang strategis dalam membekali para pengrajin dengan inovasi pemasaran yang relevan dan berkelanjutan. Kegiatan ini tidak hanya meningkatkan keterampilan teknis pengrajin, tetapi juga mendorong inovasi kreatif melalui pembuatan motif batik kombinasi yang diaplikasikan pada media visual.
An Evaluation of the Effectiveness of Flextime Program as a Benefit in Improving Work–Life intan; Muafi Muafi
Jurnal Relevansi : Ekonomi, Manajemen dan Bisnis Vol 10 No 3 (2026): June
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), STIE Krakatau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61401/relevansi.v10i1.414

Abstract

This study explores the perceived effectiveness of flextime in supporting work-life balance at PT Angkasa Pura Indonesia, Adisutjipto Airport Branch, Yogyakarta, focusing on how the policy is designed, experienced, and constrained in practice. This study used an exploratory qualitative descriptive design with an interpretivist orientation. Data were gathered through a semi-structured interview with a key informant, internal documentation, and field observations, and then analyzed thematically. Flextime supports work-life balance by reducing morning time pressure, providing time for non-work responsibilities, and signaling organizational trust. However, it is limited by the need for coordination, role differentiation, and airport operational requirements. Flextime should be viewed as a conditional resource, with its value depending on clear rules, managerial support, role fit, and alignment with operational needs. This study is a single-case analysis, limiting its generalizability, and relies on a small sample from one airport branch. This study contributes to the literature by showing how temporal flexibility works in high-discipline service environments and clarifying why its effectiveness is context-dependent.
The role of cyberslacking in student performance Devara Windya Fadhila; Muafi
Journal of Business and Information Systems (e-ISSN: 2685-2543) Vol. 7 No. 2 (2025): Journal of Business and Information Systems
Publisher : Department of Accounting, Faculty of Business, Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbis.v7i2.318

Abstract

Internet access in universities facilitates students' learning. However, students often use the internet during class for non-academic activities such as social media, games, or shopping. This behavior, known as cyberslacking, can cause students to lose focus and lower their academic performance. This study aims to investigate the effects of media multitasking efficacy and technostress on cyberslacking and academic performance. The study used a quantitative method with 270 management students at Universitas Islam Indonesia. Data were collected through questionnaires and analyzed using PLS-SEM. The results of this study showed that media multitasking efficacy negatively affected cyberslacking, while technostress positively affected it. Additionally, cyberslacking adversely affected academic performance. The findings also revealed that media multitasking efficacy had a positive impact on educational achievement, with cyberslacking as a mediator.
Sistem Pendukung Keputusan Prioritas Intervensi Burnout Mahasiswa menggunakan XGBoost dan DEMATEL–MARCOS Asyahri Hadi Nasyuha; Muafi Muafi
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i2.393

Abstract

Academic burnout among university students is an increasingly pressing issue due to its impact on learning motivation, attendance, and academic performance. Meanwhile, conventional early warning approaches tend to be subjective and lack systematic, data-driven prioritization mechanisms. This study develops a decision support system (DSS) integrating Extreme Gradient Boosting (XGBoost), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) to prioritize academic burnout interventions. XGBoost was applied to a dataset of 60 studentscomprising eleven academic, behavioral, and psychosocial attributesto identify burnout indicators through feature importance analysis. Eight selected indicators were then evaluated by academic experts using DEMATEL to model cause-effect relationships and determine criterion weights based on inter-criterion dependencies. These weights were utilized in MARCOS to rank students according to intervention urgency. The XGBoost model achieved a five-fold cross-validation accuracy of 70.0% (SD = 13.5%), despite the limited sample size. DEMATEL identified Academic Stress and Sleep Duration as the most influential "effect" criteria, while Financial Stress and Study Load emerged as the dominant "cause" criteria. The MARCOS rankings showed strong correlations with Burnout Risk Scores (Spearman’s rho = 0.766; p < 0.001) and Intervention Urgency (rho = 0.714; p < 0.001). Students with high burnout levels consistently occupied the highest priority positions, with an average rank of 5.6 out of 60 students. These results demonstrate that integrating machine learning with DEMATEL–MARCOS yields an objective, explainable, and practical DSS framework to support interventions for student academic burnout.
Segmentasi Risiko dan Alokasi Dukungan Kesejahteraan Mahasiswa menggunakan K-Means Clustering dan CRITIC–COPRAS Asyahri Hadi Nasyuha; Muafi Muafi
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 1 (2025): Volume 4 Number 1 January 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i1.394

Abstract

Beyond identifying students at risk of academic burnout, higher education institutions also need an evidence-based mechanism to segment the student population and allocate limited wellbeing-support resources proportionally. This study proposes a decision support framework combining K-Means clustering with the CRiteria Importance Through Intercriteria Correlation (CRITIC) objective weighting method and the COmplex PRoportional ASsessment (COPRAS) ranking method to segment students and prioritize wellbeing-support allocation. Using a dataset of 60 students with eight actionable psychosocial and behavioral indicators, K-Means partitioned students into three risk-based segments (High/Moderate/Low), evaluated via silhouette scores (0.133-0.163 for k = 2-5) and set at k = 3 to align with the institution's three-tier intervention scheme. CRITIC derived data-driven, correlation-based criteria weights without expert elicitation, unlike preference-based weighting. These weights fed into COPRAS to compute a relative significance score (Qi) and rank students by support-allocation priority. The High-risk cluster captured four of five dataset-labelled High-burnout students (80%) and showed the highest mean Burnout Risk Score (41.60) versus Moderate-risk (37.03) and Low-risk (30.09) clusters. The COPRAS ranking correlated significantly with independent burnout indicators (Spearman's rho = 0.706 with Burnout Risk Score, 0.749 with Support Need, and 0.529 with Intervention Urgency, all p < 0.001), with mean ranks decreasing monotonically across Burnout_Level categories (High = 7.0, Moderate = 23.3, Low = 43.1, out of 60). These findings indicate that unsupervised segmentation combined with objective multi-criteria weighting can provide a transparent, replicable, resource-efficient basis for allocating student wellbeing support, complementing supervised prediction-based approaches used in prior studies.
Co-Authors A Wijayani A'yuni, Qurota Abbas Arfan Abdul Munir Mulkhan Abdul Munir Mulkhan Abu Tholib Adinda Fitriani Aditya Eka Setiawan Ahmad Muhsin Amanda, Nadila Amaripuja, Punang Anas Hidayat Anas Hidayat, Anas Andestari, Yonada Andi Nur Azizah Hafsah ANDI WIJAYA Anindita, Hafidz Annisaa Miranty Nurendra Anugrahito, Dimas Ari Wijayani Ariska, Aprilia Dwi Arundati, Rahajeng Astiezah, Rofifah Asyahri Hadi Nasyuha Aziz, Vijay Abdul Callista, Galuh Candya Christin Susilowati Devara Windya Fadhila Dian Retnaningdiah Dimas Anugrahito Djohantini, Siti Noordjannah Dwi Wahyu Pril Ranto Dyah Sugandini Eep Saepul Muarip Endah Wahyurini Endah Wahyurini, Endah Endar Abdi Prakoso Farah Aida Ahmad Nadzri Farid Irawan Nugroho Farrah Aulia Ramadhanty Fathorazi Nur Fajri Fauziyah, Rosyda Nur Fereshti Nurdiana Dihan Fernando Febryan Furqan, Moh. Hafidz Anindita Hafidz Maulana Hamdani, A Hariani, Novia Hartono, Arif Hartono, Arif HASAN BASORI Hasan, Muhammad Fadil Hasyim, Fuad Hasyim, Fuad Hasyim, Fuadz Hendratmoko , Hendratmoko Hendri Gusaptono Heru Kurnianto Tjahjono Heru Kurnianto Tjahjono Huszár, Barbara Iis Astriani intan Irfan Ardiansyah Ivan Piper Karima Tamara Khairunnisak Khairunnisak Khairunnisak Khairunnisak, Khairunnisak Kusuma, Ahmad Fandy Kusumawati, Rizqi Adhyka Melati Ayu Widati Mellisa Fitri Andriyani Muzakir Muchammad Sugarindra Muhammad Fakhrurrozi Nadiyah Nadiyah Nadratuzzaman Hosen, Muhamad Nefita, Shela Dhea Nilmawati Nilmawati Noor Arifin Novia Hariani Nugroho, Farid Irawan Nur Azizah, Anisah Nur Ellyanawati Esty Rahayu Pandega Daneswara Prakarsa Panjinegara Prayudha Bangun Wicaksono Wicaksono Purnama, Rava Fernanda Putri, Firlita Nuriska Ramadhani, Ulfah Sa'adah Rina Sri Lestari Rina Sri Lestari, Rina Sri Rizqi Adhyka Kusumawati Rizqi Adhyka Kusumawati Roostika, Ratna Sabellah, Ria Eka Siti Noordjannah Djohantini Siti Nursyamsiah Sofyan Ashari Nur Sugarindra, Muchamad Suhada Suhada, Suhada Suhartini Suhartini Sunarta Sunarta Syafiih, M . Titik Kusmantini Ulfah Sa&#039;adah Ramadhani Veisz, Adrienn Wahid Mirza Prabowo Wahid, Ziadul Ulum Widati, Melati Ayu Wisnu Prajogo Wisnu Prajogo, Wisnu Yulianto, Dwi Hery Yustiani, Sofia Zain, Ahmad Naufal Waliyus Ziber Putra, Adam