UMM Scientific Journals (Universitas Muhammadiyah Malang)
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    Cultural Tourism in Indonesia: The Relevance of Policy to Accompanying Issues

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    Cultural tourism is seen as effective in introducing cultural heritage and as a source of foreign exchange, but it also creates a dualism of meaning that can threaten cultural destruction. For this reason, appropriate policies are needed to optimize opportunities and anticipate threats. This research aims to find principles for optimizing cultural tourism policies related to developing issues, taking Indonesia as a case. The research method is bibliometric analysis and content analysis applied to scientific articles and official documents published by the government related to the development of cultural tourism. The variables observed are trends in the number of tourist destinations, visitors, foreign exchange earnings from the tourism industry, government policies, and emerging issues. The results indicate that cultural tourism development in Indonesia is characterized by a persistent dualism, where economic gains are accompanied by risks of cultural commodification and degradation. The findings show that existing policies demonstrate moderate responsiveness to tourism growth and emerging issues, but remain limited in ensuring equitable benefit distribution, controlling land-use change, and strengthening community empowerment. Furthermore, the study identifies that policy optimization is most effectively achieved through a holistic and collaborative governance approach that enables adaptive responses to the dualism inherent in cultural tourism development

    PERAN STAKEHOLDER DALAM PEMBERDAYAAN PETERNAK KAMBING DAN DOMBA MELALUI PROGRAM UTAMA MITRA USAHA PARIPURNA (STUDI KASUS KOPERASI PRODUSEN PERSERIKATAN PETERNAK KAMBING DOMBA YOGYAKARTA): THE ROLE OF STAKEHOLDERS IN EMPOWERING GOAT AND SHEEP FARMERS THROUGH THE MAIN PROGRAM OF COMPREHENSIVE BUSINESS PARTNERSHIP (A CASE STUDY OF THE YOGYAKARTA GOAT AND SHEEP FARMERS ASSOCIATION PRODUCER COOPERATIVE)

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    Penelitian ini bertujuan untuk mengkaji peran para pemangku kepentingan (stakeholder) dalam pelaksanaan Program Penguatan Usaha Mikro Unggulan Peternakan (PUMUP) pada Koperasi Produsen PPKDY. Penelitian ini berkontribusi terhadap pengembangan model kolaborasi stakeholder dalam pemberdayaan peternak melalui koperasi produsen dengan mengidentifikasi interaksi peran sebagai fasilitator, akselerator, dan pembuat kebijakan dalam mendukung keberlanjutan program. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Data dikumpulkan melalui wawancara mendalam, observasi, dan dokumentasi, kemudian dianalisis menggunakan pendekatan Miles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa stakeholder yang terlibat dalam Program PUMUP meliputi Mahir Farm, CV Agroinvestama, Fakultas Peternakan Universitas Gadjah Mada, Dinas Koperasi Usaha Kecil dan Menengah D.I. Yogyakarta, Dinas Pertanian dan Ketahanan Pangan D.I. Yogyakarta, Balai Pelatihan Kesehatan Hewan Cinagara, Balai Besar Veteriner Wates, Balai Besar Perbibitan Ternak Unggul dan Hijauan Pakan Ternak (BPTUHPT) Baturraden, Balai Besar Pelatihan Peternakan Batu, serta Balai Penerapan Modernisasi Pertanian Yogyakarta. Para stakeholder tersebut menjalankan peran sebagai pembuat kebijakan (policy creator), koordinator, fasilitator, akselerator, dan implementator. Peran fasilitator merupakan peran yang paling dominan, ditandai dengan intensitas fasilitasi yang tinggi dalam merealisasikan kegiatan Program PUMUP, serta didukung oleh peran akselerator melalui penyediaan bantuan sarana peternakan yang tidak terjangkau oleh anggota koperasi, sehingga mempercepat pencapaian tujuan progra

    Comparing teachers’ grit in teaching four English skills in Islamic high schools

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    This study aims to describe and to compare teachers’ grit level in teaching four English skills (listening, speaking, reading, and writing skills) within Islamic high schools in Parepare, South Sulawesi, Indonesia. Using a quantitative survey design, data were collected from 24 English teachers through a questionnaire adapted from Duckworth and Quinn\u27s Scale, which measured two dimensions of grit (perseverance of effort and consistency of interest) The data analyzed descriptively and inferentially using the Friedman test to determine differences among the four skills. Findings revealed that teachers generally demonstrated a high level of grit in teaching all English skills. However, significant differences were observed among the skills, with reading showing the highest level of grit, followed by writing, speaking, reading, and listening. Listening showed the most uniform grit distribution, while writing revealed the widest variability. These differences indicate that the instructional and emotional demands of each skills affect teachers\u27 perseverance and consistency in teaching. The study concludes that grit plays a vital role in sustaining teachers\u27 motivation and resilience across diverse teaching contexts. The Implication suggest the need for targeted professional development programs to enhance teachers\u27 grit, particularly in teaching productive skills by fostering adaptive instructional strategies, emotional resilience, and pedagogical self-efficacy to ensure effective English language instruction and improved students\u27 outcome

    Repositioning AI in ELT: Supporting teachers in transforming English language evaluation

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    The rapid advancement of artificial intelligence (AI) has significantly transformed pedagogical and evaluative practices in higher education, yet its role in English language evaluation remains relatively underexplored. Previous studies predominantly examine general classroom applications or student perspectives, providing limited insight into how English teachers employ AI within evaluation practices. This study addresses this gap by investigating teachers’ perceptions of AI as a teaching assistant in English language evaluation. Employing a qualitative design, data were gathered through semi-structured interviews with seven English teachers, which were then analyzed thematically. The findings reveal four interrelated dimensions of AI-supported evaluation: (1) efficiency in evaluation design, (2) empowerment in formative and reflective practices, (3) ethical and valid use of AI, and (4) institutional readiness for sustainable integration. The study contributes new empirical evidence by showing how teachers actively negotiate the pedagogical, ethical, and policy-related challenges of integrating AI, an aspect often overlooked in earlier research. These insights highlight that AI functions most effectively as a collaborative partner that augments, rather than replaces, human evaluative judgment. The study offers both theoretical implications for AI-mediated evaluation literature and practical guidance for institutions seeking responsible and sustainable AI integration

    Exploring speech acts in Instagram reels: An implication for English language learning

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    Social media has increasingly become an informal platform for English learning, with Instagram Reels emerging as an engaging medium for short-form educational content. While previous studies have focused on linguistic outcomes such as vocabulary and speaking skills, the pragmatic dimension of learning through short videos remains underexplored. This study aims to classify the types of speech acts used in educational Instagram Reels created by @englishwithlucy and explain how these acts contribute to English learning in digital contexts. This research employed a qualitative descriptive design, with fifteen Reels uploaded between January and May 2025 selected through purposive sampling. A total of 170 instructional utterances were transcribed and analyzed using Searle’s (1976) Speech Act Theory. Data were examined through content-based pragmatic coding and frequency calculation, followed by category validation to ensure coding consistency. The findings show that assertive acts (58.82%) are the most frequently used, followed by directive acts (35.29%), while expressive and commissive acts occur minimally, and declarative acts are absent. These results suggest that the videos emphasize explanation and interactive guidance to support micro-learning and develop communicative competence. The study provides implications for teachers and content creators in designing concise and engaging English learning materials on digital platforms

    Comparing lecturer and AI-based assessment in EFL academic writing: Hybrid framework implications

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    Effective assessment of EFL academic writing in Indonesian universities is still difficult because lecturers have heavy workloads and provide inconsistent feedback. While AI tools like Grammarly, ChatGPT, and Gemini promise to improve efficiency, most research focuses on single platforms or Western contexts. This leaves a significant gap in understanding how different AI systems compare with human assessment across various writing aspects in Indonesia\u27s specific EFL environment. This mixed methods study addresses this gap by comparing lecturer assessments with three AI platforms in five writing areas: grammar, coherence, organization, vocabulary, and mechanics. It also explores stakeholder perceptions. A quantitative analysis of 30 students\u27 essays showed that AI consistently gave higher scores in technical aspects, such as grammar and mechanics (p<0.05), but lower scores in holistic dimensions like coherence and organization. There were strong correlations in grammar (r=0.85) and weak correlations in coherence (r=0.38). Qualitative findings revealed that 70.0% of participants felt lecturer assessments were fairer because of their understanding of cultural context. Although AI showed efficiency, it lacked sensitivity to Indonesian rhetorical norms. The study suggests a culturally responsive hybrid assessment model where AI handles initial technical screening, and lecturers focus on contextual evaluation. This approach balances AI\u27s efficiency, which could reduce workloads by 60%, with human expertise in culturally relevant feedback, providing a practical framework for Indonesian EFL institutions undergoing digital transformation while maintaining educational integrity

    New soft masculinity discourse in era digital: A critical analysis of Zayn Malik’s Instagram posts

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    This research explores how soft masculinity is portrayed in seven Instagram posts by Zayn Malik from 2024 to 2025, using Norman Fairclough\u27s three-dimensional Critical Discourse Analysis (CDA) model. The analysis occurred between April and October 2025. Employing a qualitative method, the study used Critical Discourse Analysis (CDA) grounded in Fairclough\u27s model. Data gathering involved recording posts, encompassing images, text, and user engagements. Analytical methods encompassed textual and multimodal scrutiny across micro, meso, and macro scales, along with an assessment of discursive and broader social practices. Findings reveal that Zayn primarily embodies soft masculinity through casual and personal visual stances, affectionate and exposed facial cues, and language conveying appreciation, emotional honesty, modesty, and interpersonal compassion. These traits blend with lingering traditional masculine symbols (such as leather jackets, tattoos, and beards), resulting in a blended yet clearly soft form of masculinity that opposes dominant norms of control, emotional restraint, and detachment. The study argues that Zayn Malik\u27s recent Instagram content represents a sincere challenge to traditional masculine ideals, rather than superficial or profit-oriented weakness, thus enriching modern perspectives on inclusive masculinity within online celebrity spheres

    The Effect of Salary and Workload on The Performance of Employees at PT. Original Bird Nest Medan

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    This study investigates the effects of salary and workload on employee performance at PT. Original Bird Nest Medan. Using a quantitative, explanatory design, data were collected through structured questionnaires administered to all available employees using a saturated sampling technique (n = 50). The model examines salary (X1), workload (X2), and employee performance (Y) with indicators adapted from prior literature: salary (eligibility, work motivation, job satisfaction), workload (working conditions, use of working time, targets to be achieved), and performance (work quality, work quantity, task implementation, responsibility). Multiple linear regression was applied to estimate the partial and simultaneous effects of predictors on performance. The results show that salary has a positive and significant influence on employee performance (β = 0.242; t = 2.628; p = 0.012), and workload also has a positive and significant influence (β = 0.689; t = 7.490; p < 0.001). Simultaneously, salary and workload significantly predict employee performance (F = 48.686; p < 0.001). The model explains a substantial proportion of variance in performance, with Adjusted R² = 0.661 (≈66%) and R² = 0.674, indicating that the remaining 34% may be attributed to other organizational factors not included in this study. Theoretically, this study reinforces compensation and job-demand perspectives by demonstrating that performance outcomes are shaped by both financial rewards and the structuring of work demands. Practically, the findings suggest that organizations should align salary fairness and workload allocation with operational expectations to sustain optimal performance and reduce performance decline associated with perceived imbalance. Overall, the study underscores that integrated compensation and workload management is essential for strengthening employee performance in labor-intensive production contexts

    The Development of Project-Based Dakon-Assisted Teaching Modules to Improve Students\u27 Cognitive Abilities and Collaboration Skills

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    Initial observations indicate that the cognitive ability of mathematics in the material of number patterns is relatively low and students\u27 collaboration skills have not been seen. So the purpose of this study is to produce a valid, practical, and effective project-based dakon-assisted teaching module; in order to determine students\u27 cognitive abilities and collaboration skills. In its learning, this study raises the culture of traditional Javanese games, namely Dakon. The method used in this study is the Research and Development (R&D) method with the ADDIE model. Data were obtained using pre-test-post-test instruments, LKPD, collaboration skills assessment questionnaires, and practicality questionnaires for teaching modules. The results of the study showed that: (1) The validity results of the teaching module reached 3.68 (very valid); pre-test-post-test validation of 3.73 (very valid); LKPD validation of 3.55 (valid); questionnaire validation of 3.70 (very valid) so that the teaching module and its instruments are said to be suitable for use in learning; (2) The results of the practicality questionnaire for the teaching module reached 87% score, so the application of the teaching module is said to be very practical. In addition, the teaching module has been tested on small groups and large groups of 24 students; (3) the N-Gain results obtained were 82%, which means that the application of the teaching module in the implementation of large group tests is said to be effective in improving students\u27 cognitive abilities; (4) Furthermore, the results of collaboration skills obtained from the questionnaire data obtained a figure of 3.70 (very effective) which means that the teaching module is said to be very effective in improving students\u27 collaboration skills

    Perancangan Prototype Sistem Pemesanan Wisata Menggunakan Pendekatan Design Thinking (Studi Kasus : CV. Melanesia Maju Bersama)

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    Perusahaan CV. Melanesia Maju Bersama yang berada di Labuan Bajo, merupakan salah satu perusahaan yang bergerak dalam bidang pariwisata penyedia jasa khususnya di Labuan Bajo, Waerebo dan Sumba. Dalam setiap aktifitasnya, CV. Melanesia Maju Bersama mempromosikan jasanya dengan menggunakan sosial media instagram dan chat whatsapp sebagai reservasinya. Namun dalam pelaksanaanya masih diras kurang efektif karena terdapat kendala dalam melakukan pemesanannya melalui whatsapp. Kemudian konsumen masih kurang mendapatkan informasi dan fasilitas yang ada. Oleh karena itu, dilakukan Perancangan Sistem Pemesanan Wisata Menggunakan Pendekatan Design Thinking. Dengan menggunakan prototype akan dihasilkan prototype sistem dan menjadi gambaran awal bagi pengguna dan pengembang, dan memungkinkan validasi konsep sistem yang akan dikembangkan. Metode yang digunakan adalah Design Thinking, yang dimana metode ini memecahkan permasalahan yang belum terdefenisi secara langsung dengan mempelajari kebutuhan user, mengumpulkan ide pada tahap brainstorming dan menggunakan pendekatan langsung dengan tahap pembuatan protottipe dan pengujian langsung. Penelitian ini difokuskan pada solusi desain dengan metode design thinking. Hasil dari penelitian ini menghasilkan desain solusi berupa rancangan sistem pemesanan wisata yang disesuaiakn dengan kebutuhan pengguna menggunakan metode design thinking. Kemudian pengujian sistem menggunakan metode usability testing menggunakan platform Maze mendapatkan hasil skor 92 dan pengujian menggunakan System Usability Scale (SUS) mendapatkan skor 91.5 maka menunjukan grade “A”. Dimana dapat dinyatakan bahwa perancangan prototype ini dapat diterima (acceptable) oleh penggunannya

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