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All Journal JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Journal of English Education and Teaching (JEET) Meteor STIP Marunda SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Dinasti International Journal of Education Management and Social Science Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan Journal of Social Work and Science Education Logistica : Journal of Logistic and Transportation
Masito, Fitri
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Religion Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Transportation Other

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Effectiveness of Moocs-Based Safety Management System Learning Development Oka, I.G.A. Ayu Mas; Masito, Fitri; Danim, Sudarwan
Scaffolding: Jurnal Pendidikan Islam dan Multikulturalisme Vol 5 No 1 (2023): Pendidikan Islam dan Multikulturalisme
Publisher : Institut Agama Islam Sunan Giri (INSURI) Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/scaffolding.v5i1.2617

Abstract

The purpose of this study is to test the effectiveness of the safety management system learning method through MOOCs compared to previous learning methods. This research is a type of quantitative descriptive research. The data collection technique is a non-test technique with a research instrument in the form of a response questionnaire. The data in this study were obtained from primary data sources, namely the results of filling out questionnaires by respondents. The research was conducted at the Palembang Aviation Polytechnic in November 2022. The population in this study was 250 Palembang Polytechnic cadets. The research sample was 105 cadets who took the Safety Management System course, which was taken using a purposive sampling technique. The data analysis technique uses the Paired-Samples T-Test with the help of SPSS software. Results research shows that the value of sig. (2-tailed) is less than 0.05, so H0 is rejected and Ha is accepted. So it can be concluded that there is a significant difference between the effectiveness of the MOOC-based SMS learning method and the previous learning method.
SIMULATION-BASED LEARNING IN MARITIME TRAINING: ENHANCING COMPETENCY AND PREPAREDNESS Ala, Asman; Hamidi, Nazilul; Yoniessa, Siska; Masito, Fitri; Muis, Muhammad Abdul
Meteor STIP Marunda Vol 17 No 1 (2024): June
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) STIP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36101/msm.v17i1.361

Abstract

Simulation-Based Learning (SBL) is a pivotal component in maritime education, offering realistic and immersive experiences for cadets. This research critically evaluates SBL's efficacy among 30 cadets undergoing vocational practice or internships, aligning with International Maritime Organization (IMO) - Standards of Training, Certification, and Watchkeeping (STCW). Through qualitative analysis, SBL was found to significantly enhance cadets' competency, decision-making skills, and confidence in handling maritime challenges. Challenges such as technical issues and fidelity discrepancies were noted, underscoring the need for ongoing improvement. Furthermore, the study emphasizes the importance of aligning maritime education with international standards to ensure standardized and comprehensive training. The findings contribute to the discourse on SBL's role in maritime education, highlighting its potential to prepare cadets for real-world scenarios effectively.
Analysis of E-Module Development Needs on the Topic of Quantity and Units at High Schools in Payakumbuh Wulandari, Dinda; Risdianto, Eko; Masito, Fitri; Setiawan, Iwan; Efendi, Rusdi
JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Vol. 7 No. 1 (2022): JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan
Publisher : Graduate Program Magister Manajemen Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/jmksp.v7i1.6492

Abstract

This study has the aim of analyzing the responses of physics teachers and students to the need for developing e-modules on the amount and units of material at the SMA Negeri in Payakumbuh City. This research is part of the R & D research with the ADDIE model but is only limited to the needs analysis stage using quantitative methods. The sampling technique used was purposive sampling with data samples, namely 8 physics teachers and 250 students in 5 high schools during the covid-19 pandemic. Data collection techniques used are interviews, questionnaires and observation. The instrument used is a questionnaire on the need for e-module development for physics students and teachers. The results of this study indicate that the instruments used are valid and reliable and show that physics teachers and students strongly agree that the e-module material on quantities and units really needs to be developed to support effective online learning. Different from previous research, the update of this research was carried out in all public high schools in Payakumbuh City and focused on physics subject matter of quantities and units. This research contributes to educational practitioners so that they can develop an e-module teaching material product of magnitude and unit material for students.
Factors Affecting Students’ Speaking Skills in Aviation English: Grammar, Vocabulary and Pronunciation Mastery Masito, Fitri; Hermala, Zusnita; Selasdini, Vidya
Dinasti International Journal of Education Management And Social Science Vol. 5 No. 6 (2024): Dinasti International Journal of Education Management and Social Science (Augus
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v5i6.3009

Abstract

Previous research or pertinent studies are essential for a scientific article or research paper. This article reviews the factors influencing students' ability to speak English in the aviation field, focusing on the mastery of speech, vocabulary, and pronunciation. This study is a comprehensive literature review in the domain of English language learning. The objective of this article is to construct a hypothesis regarding the inter-variable influence for conducting further research. The findings of this literature review indicate that: 1) Students' speaking abilities in Aviation English are significantly influenced by their linguistic mastery, which encompasses grammar, syntax, and overall language structure; 2) Their proficiency in Aviation English is also heavily dependent on their vocabulary, specifically the technical and industry-specific terms used in aviation; and 3) Their pronunciation in Aviation English plays a crucial role in their overall speaking abilities, impacting their clarity, intelligibility, and effective communication in professional aviation settings. This review aims to provide a foundation for future studies to explore these interrelated factors in greater depth.  
AI’s Functions and Influences Among University Students in Indonesian Context Maryansyah , Yupika; Badeni, Badeni; Masito, Fitri
Journal of English Education and Teaching Vol. 9 No. 1 (2025): Journal of English Education and Teaching
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jeet.9.1.128-148

Abstract

This study explores functions and influences of artificial intelligence (AI) in English language learning among English education and non-English education students. Using semi-structured interviews with 36 students from four universities in Bengkulu, Indonesia, and analyzed through Interpretative Phenomenological Analysis (IPA), the study identifies five key functions of AI: learning booster, flexible learning assistant, personal learning source, virtual teacher, and instant problem solver. Both groups shared similar views on the first three functions, while English education students emphasized AI as a virtual teacher, and non-English education students saw it more as an instant problem solver. Four influence themes emerged: acceleration of English mastery, increased learning motivation, reduced desire for face-to-face conversation, and growing dependency on AI tools. Both groups agreed on the first two, but differed on the latter, English education students noted reduced face-to-face interaction, while non-English education students highlighted dependency on AI. The findings stress the importance of balancing AI use with human interaction to support comprehensive language learning.
Distribusi Kurban Berbasis Humanitarian Logistics: Praktik Kolaborasi Masjid dan Perguruan Tinggi dalam Pengabdian kepada Masyarakat Abdullah, Anton; Hariri, Ahmad; Pesilette, Mohammad Syukri; Sunardi, Sunardi; Yuniar, Dwi Candra; Nugraha, Wildan; Nugraha, Minulya Eska; Sutiyo, Sutiyo; Masito, Fitri; Sukahir, Sukahir
Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan Vol. 5 No. 2 (2025): Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Politeknik Penerbangan Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52989/darmabakti.v5i2.214

Abstract

Kegiatan penyembelihan dan distribusi daging Kurban 1446 H yang diselenggarakan oleh Masjid Baitul ‘Ilmi Politeknik Penerbangan Palembang dilaksanakan sebagai program pengabdian kepada masyarakat (PkM) melalui kolaborasi antara kampus dan komunitas sekitar. Kegiatan ini dilatarbelakangi oleh distribusi daging kurban yang sering menghadapi tantangan efektivitas dan keadilan. Pendekatan humanitarian logistics diterapkan untuk memastikan proses distribusi berlangsung cepat, tepat sasaran, dan efisien, inilah yang melatar belakangi PkM ini. Tujuan kegiatan ini adalah menerapkan prinsip-prinsip humanitarian logistics untuk memastikan bahwa proses distribusi daging qurban berlangsung secara cepat, akurat, adil, dan efisien. Metode yang digunakan menggabungkan kerangka kerja humanitarian logistics dengan pendekatan partisipatif berbasis komunitas, yang melibatkan dosen, mahasiswa, pengurus masjid, dan warga sekitar dalam tahapan perencanaan, pendataan, pelaksanaan, hingga evaluasi. Hasil kegiatan menunjukkan bahwa distribusi berhasil diselesaikan dalam satu hari, jumlah penerima manfaat melampaui target, dan tidak terdapat pemborosan sumber daya yang signifikan. Keterlibatan mahasiswa juga memberikan nilai pembelajaran langsung (experiential learning) dalam pengelolaan logistik sosial dan koordinasi antarsektor. Kegiatan Kurban ini menjadi model praktik baik yang dapat direplikasi dan dikembangkan sebagai program pengabdian masyarakat berkelanjutan di lingkungan perguruan tinggi. Rekomendasi untuk kegiatan selanjutnya pengembangan program kurban berkelanjutan berbasis kampus
Challenges and Improvements in Safety Assurance Implementation at Aviation Training Organizations Nugraha, Wildan; Komalasari, Yeti; Hariri, Achmad; Pesilette, Mohammad Sukri; Abdullah, Anton; Masito, Fitri; Sutiyo, Sutiyo; Andayani, Thursina
Journal of Social Work and Science Education Vol. 6 No. 3 (2025): Journal of Social Work and Science Education
Publisher : Yayasan Sembilan Pemuda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52690/jswse.v6i3.1234

Abstract

Aviation safety is the primary foundation for the sustainability and credibility of the global aviation industry. To strengthen the safety system, the International Civil Aviation Organization (ICAO) requires all aviation organizations, including Approved Training Organizations (ATOs), to implement a Safety Management System (SMS) consisting of four main pillars, namely Safety Policy, Safety Risk Management, Safety Assurance, and Safety Promotion. The Safety Assurance element plays a strategic role as an internal monitoring mechanism to ensure that the safety strategies, policies, and processes implemented are running effectively and sustainably. This study evaluates the implementation of SMS at Palembang Aviation Polytechnic, an ATO in Indonesia. Using a mixed-methods approach, data were collected from 45 personnel via Likert-scale questionnaires, interviews, and document analysis. Results indicate strong performance in internal audits (mean = 4.04) and safety monitoring (mean = 3.77), but weaknesses in hazard reporting (mean = 3.31) and change management (mean = 3.33). Qualitative findings reveal a fear-based reporting culture and reactive change processes. Triangulation highlights gaps between perception and practice, emphasizing the need for a ‘Just Culture’ framework and risk-based change management. The study contributes a model for enhancing SMS in aviation education, addressing a critical gap in non-elite ATO contexts.
Intrinsic Versus Extrinsic Motivation in Logistics: A Quantitative Analysis of Performance Outcomes Budiyanto, Albert; Masito, Fitri; Toja, Andi Batari
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.733

Abstract

Employee motivation is a critical determinant of organizational performance, particularly in logistics warehousing where efficiency and resilience are paramount. This study investigates the influence of intrinsic and extrinsic motivation on employee performance at PT Aerojasa Cargo using Herzberg’s two-factor theory as a framework. A quantitative survey was conducted with 55 employees selected from 120 using Slovin’s formula. Motivation (knowledge, skills, rewards, behavioral direction, persistence) and performance (accuracy, timeliness, quality, quantity, neatness) were measured through a 5-point Likert-scale questionnaire, and data were analyzed using SPSS 26. Regression analysis revealed a strong correlation (R² = 0.833, p < 0.05), with intrinsic factors such as persistence and recognition emerging as the strongest predictors of performance, surpassing extrinsic motivators like salary. These findings provide robust empirical evidence of the relevance of Herzberg’s theory in Indonesia’s logistics sector and underscore the need for HR strategies that prioritize intrinsic motivators. Practical contributions include designing recognition systems, training, and career development programs to enhance employee persistence and behavioral alignment.
Bridging Gaps in Transport Demand Forecasting through Artificial Intelligence and Machine Learning Masito, Fitri; Toja, Andi Batari; Judijanto, Loso
Logistica : Journal of Logistic and Transportation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i4.1065

Abstract

Artificial Intelligence (AI) has emerged as a transformative tool for transportation demand forecasting, addressing the limitations of traditional statistical approaches. This study systematically reviews recent literature to evaluate AI methodologies, their applications, and the systemic factors that shape adoption. Peer-reviewed studies published between 2018 and 2025 were identified from Scopus, Web of Science, and Google Scholar. Findings reveal that AI techniques, particularly deep learning and ensemble models, consistently outperform conventional forecasting methods in predictive accuracy and adaptability. Integration of spatio-temporal and geospatial data further enhances model robustness, supporting more responsive strategies for sustainable urban mobility. Applications span passenger transport, freight logistics, public transit optimization, and electric vehicle charging demand. Nonetheless, challenges persist, including data scarcity, computational demands, interpretability concerns, and uneven adoption between developed and developing regions. The review underscores the need for supportive policies, collaborative data management, and fairness-aware models. Overall, leveraging AI in transport forecasting is essential to build efficient, adaptive, and inclusive mobility systems while aligning future research with long-term planning and sustainability goals.
Co-Authors Abdullah, Anton Ala, Asman Badeni Badeni, Badeni Budiyanto, Albert Eko Risdianto Hariri, Ahmad Hermala, Zusnita Iwan Setiawan Judijanto, Loso Maryansyah , Yupika Minulya Eska Nugraha Muis, Muhammad Abdul Nazilul Hamidi Oka, I.G.A. Ayu Mas Pesilette, Mohammad Sukri Pesilette, Mohammad Syukri Rusdi Efendi Selasdini, Vidya Sudarwan Danim Sukahir, Sukahir Sunardi Sunardi Sutiyo Sutiyo Thursina Andayani Toja, Andi Batari Wildan Nugraha Wulandari, Dinda Yeti Komalasari Yoniessa, Siska Yuniar, Dwi Candra