UMM Scientific Journals (Universitas Muhammadiyah Malang)
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Self-Confidence and Anxiety About the Future in Early Adulthood
No full textThe level of anxiety about the future experienced in early adulthood varies from person to person, but self-confidence is part of the emotional and cognitive factors that protect against anxiety about the future. The purpose of this study was to determine the relationship between self-confidence and future anxiety in early adulthood. The research method used was quantitative, with data collected using a self-confidence scale and a future anxiety scale. The sample was selected based on accidental sampling with criteria of being between 18 and 40 years old and having a minimum education level of high school, resulting in 70 participants. Hypothesis testing used Spearman\u27s rho correlation. The results indicated a negative correlation between the variables of self-confidence and anxiety with a sig. value (2-tailed) of 0.012 and a correlation coefficient value of -0.298. The hypothesis stating that there is a correlation between self-confidence and anxiety about the future in early adulthood was accepted. These findings emphasize the importance of developing psychological interventions that focus on increasing self-confidence as a preventive measure in reducing anxiety about the future
Disaster Risk Management by Local Governments in the Global South
No full textThe increasing frequency and severity of disasters worldwide have underscored the critical role of local governments (LGs), which are the political authority closest to local communities and are rooted at the local level where disasters occur. While many studies have conducted systematic literature reviews on disaster risk management (DRM), there is a lack of systematic reviews on the role of LGs across the entire DRM value chain in the Global South, despite the region\u27s high disaster susceptibility. This study is the first systematic review of peer-reviewed literature on LGs’ role in DRM, aiming to synthesise findings and inform future research and policies. The systematic review of 32 peer-reviewed articles across three databases was guided by the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Analysis of articles was conducted using Atlas.ti, yielding 199 codes, which were grouped into six themes. The study reveals that while LGs in the Global South have made progress in establishing DRM units, significant challenges, including a lack of political will, reactive disaster responses, insufficient resources, and limited capacity building, persist. The findings indicate a bias towards pre-disaster measures, particularly disaster preparedness and community awareness, while other stages of the DRM value chain receive relatively less attention. The study calls on local-level policymakers to prioritize DRM by integrating it into LG programs and ensuring adequate resources and funding for all stages of the DRM value chain. Community resilience can be strengthened by moving beyond basic disaster awareness to community-led initiatives that empower local communities
PEMBERDAYAAN EKONOMI MASYARAKAT DESA PURWOASRI MELALUI DIGITALISASI UMKM
Get PDFProgram Pengabdian ini dilaksanakan di Desa Purwoasri, Kecamatan Singosari, Kabupaten Malang, yang memiliki potensi besar di sektor pertanian dan UMKM namun terkendala literasi digital yang rendah. Sebagian besar pelaku UMKM masih mengandalkan metode pemasaran konvensional dan belum terbiasa dengan sistem pembayaran non-tunai. Kegiatan ini bertujuan untuk meningkatkan pemahaman UMKM terhadap pentingnya digitalisasi usaha melalui pelatihan pemasaran online, pencatatan keuangan digital, serta praktik foto produk. Metode pelaksanaan mencakup ceramah, diskusi, pendampingan, dan praktik langsung dengan evaluasi melalui pre-test dan post-test. Hasil menunjukkan peningkatan pemahaman peserta pada seluruh materi, dengan capaian tertinggi pada pembuatan foto produk yang naik 27,0% dari rata-rata 3,46 menjadi 4,40. Peningkatan signifikan ini sejalan dengan kebutuhan utama UMKM yang mayoritas bergerak di sektor pangan dan minuman sehingga sangat bergantung pada kualitas visual produk. Pada materi pencatatan dan pembayaran digital, pemahaman meningkat 9,7% dari 3,83 menjadi 4,20, menandakan adanya adopsi awal meski sebagian peserta yang berusia paruh baya masih membutuhkan waktu beradaptasi. Adapun materi pembuatan akun media sosial hanya meningkat 2,4% dari 4,23 menjadi 4,33, yang dapat dipahami karena peserta telah memiliki pengetahuan dasar sebelumnya. Dengan demikian, program ini terbukti relevan dalam mendukung penguatan kapasitas digital UMKM Desa Purwoasri, terutama dalam aspek promosi visual dan manajemen keuangan berbasis teknologi
Economic Growth And Carbon Emissions: An ARDL Panel Study Of 10 Asean Countries
Get PDFAn increase in carbon dioxide emissions accompanies the rise in economic activity. This study analyzes the short-run and long-run relationship between economic growth and CO₂ emissions, focusing on 10 ASEAN countries from 1990 to 2022. A quantitative approach is employed using the Panel Autoregressive Distributed Lag (Panel ARDL) model with the Pooled Mean Group (PMG) estimation method. The results indicate that economic growth and population have a positive and significant impact on CO₂ emissions in the long run. In the short run, the Error Correction Term (ECT) indicates an adjustment mechanism toward long-run equilibrium, with individual-country analysis revealing heterogeneity in adjustment speed. Only Cambodia and Laos demonstrate a strong and significant ECT adjustment mechanism, while other countries show slow or ineffective adjustments. This study contributes to the literature by analyzing the interaction between economic growth and environmental sustainability in the ASEAN context
Causality Analysis Between Human Development Index and Economic Growth in Regencies/Cities in NTT Province
Get PDFThis study analyzes the causal relationship between the Human Development Index (HDI) and economic growth, both in the long and short term. The study covers 22 districts/cities in East Nusa Tenggara Province (NTT) and spans the period 2019 to 2023. The study employs a quantitative, causal–explanatory approach to examine the causal relationship between the HDI and economic growth at the regency/city level in NTT. Data were analyzed using panel data techniques to test the causal relationship between the two variables. The results indicate that, according to the unit root test, the HDI and economic growth variables are stationary. The cointegration test indicates a long-term relationship between HDI and economic growth. However, the two-way causality test did not find evidence of a short-term causal relationship between the two, which is thought to be influenced by other factors such as population growth dynamics and other structural variables not included in the model
The Impact of Fintech on Poverty in Indonesia
Get PDFThis study aims to analyze the direct and indirect effects of FinTech on poverty in Indonesia using panel data from 31 provinces for the 2020–2024 period. Poverty (Pov) is measured by the percentage of the population living below the poverty line, and the FinTech Index (IF) was constructed from electronic money data and P2P lending data. To address endogeneity and omitted variables, the "Generalized Method of Moments Instrumental Variable" (IV-GMM) method uses the mobile telephone (Mob) variable and its first and second lags as instruments. Research results show that FinTech has a direct negative effect on poverty, meaning its rise tends to lower the level of poverty. However, in general, FinTech\u27s influence on poverty is positive through direct growth and development finance, indicating that benefits are not yet evenly distributed. Therefore, the government and authorities need to strengthen regulation, improve digital finance literacy, expand productive FinTech access for low-income households and MSMEs, and strengthen digital infrastructure to promote inclusive and sustainable FinTech growth
Formulasi Minuman Serbuk Bunga Telang (Clitoria ternatea L.) dengan Penambahan Sari Lemon (Citrus limon) dan Maltodekstrin
No full textBunga telang (Clitoria ternatea L.) merupakan salah satu jenis bunga yang tinggi antioksidan sehingga dapat diolah menjadi serbuk dan digunakan sebagai minuman fungsional. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh konsentrasi penggunaan sari lemon dan maltodekstrin terhadap karakteristik fisikokimia dan organoleptik minuman serbuk bunga telang. Metode penelitian ini menggunakan Rancangan Acak Kelompok (RAK) Faktorial yang terdiri dari 2 faktor, yaitu konsentrasi penambahan sari lemon dengan 3 level (0%, 5%, dan 10%) dan konsentrasi maltodekstrin dengan 2 level (25% dan 30%). Pengujian produk yang dilakukan meliputi uji kadar air, vitamin C, antosianin, aktivitas antioksidan, Aw, waktu larut, intensitas warna, pH, dan organoleptik. Hasil penelitian terbaik yaitu pada perlakuan P1W2 (konsentrasi sari lemon 5% dan maltodekstrin 30%), dengan hasil kadar air 2,49%, vitamin C 7,69 mg/100g, antosianin 2,37 mg/100ml, aktivitas antioksidan 51,50%, Aw 0,395, waktu larut 44,67 detik, pH 3,64, tingkat kecerahan (L) 52,20, tingkat kemerahan (a+) 6,50, tingkat kebiruan (b-) -11,37, serta organoleptik berwarna ungu, cukup beraroma lemon, rasa asam, dan disukai panelis. Hasil tersebut menunjukkan bahwa semakin tinggi konsentrasi sari lemon dan maltodekstrin menghasilkan semakin tinggi aktivitas antioksidan, vitamin C, antosianin, dan intensitas warna, serta waktu larut semakin cepat, menurunkan kadar air, Aw, dan pH
Analisis Risiko dan Strategi Perlindungan Sistem terhadap Ancaman Siber pada Website `\u27SAMBANG\u27` Kabupaten Jombang
No full textPenelitian ini bertujuan untuk menganalisis risiko keamanan serta merumuskan strategi perlindungan sistem terhadap ancaman siber pada website “SAMBANG” milik Pemerintah Kabupaten Jombang. Pendekatan penelitian yang digunakan adalah kualitatif eksploratif melalui observasi, studi literatur, serta penetration testing non-destruktif berbasis standar OWASP dan NIST. Hasil penelitian menunjukkan bahwa website “SAMBANG” masih memiliki sejumlah kerentanan dengan tingkat risiko yang tinggi, terutama pada fitur Open Data, Data Statistik, Katalog Data, dan Request Data yang rentan terhadap serangan Cross-Site Scripting (XSS), baik reflected maupun stored. Selain itu, potensi risiko SQL Injection teridentifikasi meskipun tidak tereksploitasi secara langsung, serta kelemahan autentikasi pada halaman login yang rentan terhadap brute force. Form Request Data juga ditemukan tidak memiliki mekanisme Cross-Site Request Forgery (CSRF) token, sehingga berpotensi dimanfaatkan oleh penyerang. Penelitian ini menyarankan penerapan validasi input, encoding output, Content Security Policy (CSP), prepared statement, autentikasi multi-faktor, pembatasan login, serta validasi file upload untuk meningkatkan perlindungan sistem. Dengan hasil ini, penelitian memberikan kontribusi praktis bagi pengelola sistem informasi publik daerah dalam memperkuat keamanan website pemerintahan serta membangun ketahanan siber yang lebih adaptif
A discourse analysis of cohesive devices in human and AI-produced personal statements
No full textThis research paper investigates the significant differences and similarities in cohesion devices between personal statements created by AI and those written by humans for Masters of TESOL applications. Using qualitative methods, this study applies Halliday and Hasan\u27s Cohesion Model to analyse six personal statements: three created by AI and three created by humans. The focus is on reference, substitution, conjunction, and lexical cohesion. The findings revealed that the human-generated texts used richer and more varied cohesion devices, including personal and demonstrative references, substitutions, and diverse conjunctions, which enhanced readability and engagement. In contrast, while efficient and coherent, AI-generated texts often lack personal touch and variety, resulting in a more segmented narrative. In addition, AI-generated texts exhibited a higher level of text difficulty and could be detected by AI tools at a rate of 8.05%, compared to 0% for texts written by humans. This study highlights the need for balanced, cohesive elements in AI-generated texts to ensure authenticity and readability, emphasizing the importance of sophisticated detection tools to distinguish between human writing and AI writing. These insights contribute to the EAP understanding of human–AI collaboration in academic writing and inform writing pedagogy and curriculum design by highlighting ways to incorporate AI awareness and critical engagement into instructional practices
Subtitling cultural-specific items (CSIs): Strategies and quality in Induk Gajah
No full textIn the era of globalization, films served as influential audiovisual media for representing cultural values. However, subtitling Cultural-Specific Items (CSIs) presents linguistic and cultural challenges that affect meaning accuracy and audience acceptability. This study examined how CSIs are represented in the English subtitles of the Indonesian series Induk Gajah, with the aims of classifying the types of CSIs, identifying the subtitling strategies used, and assessing subtitle quality. A descriptive qualitative design with content analysis was employed, drawing on Newmark’s (2010) CSI categories, Pedersen’s (2011) subtitling strategies, and Pedersen’s (2017) FAR model. The analysis identified 149 CSIs across six categories, with personal life (67) and social life (50) being the most frequent, particularly kinship terms, food references, and social expressions rooted in Batak culture. Substitution was the most common strategy (66), followed by retention (25), direct translation (18), omission (17), generalization (14), and specification (9). The findings suggest a dominance of target-language-oriented strategies, prioritizing audience comprehension. Regarding quality, 85 subtitles showed no penalties, while 57 revealed issues with functional equivalence, particularly in culturally dense expressions