Jurnal Universitas 17 Agustus 1945 Surabaya
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Comparing DeepL and Google Translate in Translating Arabic Expressive Speech Acts in Masameer: al-Film
Get PDFIn cross-language communication, machine translation is an important tool that supports the understanding of meaning between speakers from different cultural backgrounds. This study compares the translation quality of expressive speech acts in the Masameer animation using two automatic translation engines: DeepL and Google Translate. Expressive speech acts rely heavily on pragmatic context and emotional expression, which presents a challenge due to the presence of implicit meanings, cultural values, and social nuances that are often difficult to translate automatically. This study employs a qualitative-comparative approach by analyzing 19 representative data points. The translations were assessed by two experts using Nababan’s model and validated through method triangulation, including interviews, content analysis, and theory-based discussions. The results show that Google Translate is superior in terms of accuracy (2.00 and 2.68) and acceptability (2.63), compared to DeepL, which scored 1.84 and 2.68 in accuracy and 2.36 in acceptability. However, both engines remain weak in translating metaphorical expressions and culturally specific contexts. This research fills a gap in comparative studies on Arabic-Indonesian machine translation and contributes to the development of translation technology and Arabic language learning, particularly in the areas of pragmatics and intercultural communication
Early Detection of Student Problems Through a Knowledge-Based Systems-Based Counseling Approach
Get PDFHigher education is an important phase in an individual's academic development, but it is often characterized by challenges such as academic pressure, time management, and student mental health. To overcome these problems, this research aims to develop a technology-based Counseling Expert System with a Forward Chaining approach to detect student problems and provide relevant solutions. The system is designed and implemented as a web-based platform that can be accessed anytime and anywhere, allowing students to answer questions related to the problems faced by students. The answers are processed in a knowledge base that is integrated with an inference engine to produce diagnosis and solution recommendations. The results of system testing using 30 data samples show results that are in accordance with expert judgment. This expert system can identify six types of student problems, such as laziness, skipping classes, adaptation difficulties, difficulty doing final assignments, decreased Grade Point Average (GPA or IP), and potential dropout, by considering 32 causal factors grouped into academic, time management, emotional, and social environment categories. This research proves that the Forward Chaining-based Counseling Expert System is effective as a flexible solution to support student well-being and better student academic achievement
Development of a Web-Based Spare Parts Inventory System Using the First-In, First-Out Method and Acceptance Analysis Based on the Unified Theory of Acceptance and Use of Technology
Get PDFAs a service-oriented company, Jaya Sentosa faces significant challenges in managing its spare parts inventory, leading to resource inefficiencies. Key issues include documentation discrepancies, inventory inconsistencies, and inadequate monitoring mechanisms. To address these problems, this study designs and implements a web-based information system, referred to as SIWEB-JS, aimed at enhancing inventory accuracy and operational efficiency. The system was developed using the Rapid Application Development (RAD) approach, adopting the First-In, First-Out (FIFO) principle, and built with PHP using the CodeIgniter v4.4.4 framework, supported by a MySQL database. System functionality was evaluated through Black-Box Testing, while user acceptance was assessed using the Unified Theory of Acceptance and Use of Technology (UTAUT). The results indicate that SIWEB-JS effectively records real-time transactions, maintains accurate inventory levels, and improves data accessibility. The implementation of FIFO contributed to better inventory governance. Furthermore, the UTAUT-based evaluation revealed that Performance Expectancy (PE), Effort Expectancy (EE), and Social Influence (SI) significantly influenced Behavioral Intention (BI), suggesting that the system is perceived as useful, user-friendly, and well-supported by users
TRANSFORMASI PRAKTIK JURNALISTIK DI ERA DIGITAL:: STUDI DESKRIPTIF TENTANG ADAPTASI MEDIA DARING DI SURABAYA
Get PDFThis research aims to describe the transformation of journalistic practices in the digital era in online media in Surabaya. The digital age has brought fundamental changes in the production, distribution, and consumption of news, forcing the media to adapt. This qualitative descriptive study explores how online media in Surabaya responds to these changes through in-depth interviews with key players in the online media industry and analysis of media content documents. The findings of the study show a significant transformation in various aspects of journalistic practice. In content production, Surabaya's online media adopts a multimedia format and a faster and more collaborative workflow. Engagement with audiences is enhanced through comment sections, social media, and online surveys. The media business model is also transforming with the exploration of digital advertising, sponsored content, and the potential of community-based models. However, Surabaya's online media also faces challenges such as fierce competition, the need to maintain accuracy in the midst of speed, and disinformation issues. Various adaptation strategies were identified, including a focus on hyper-local content, increased verification, and diversification of revenue models. This study concludes that online media in Surabaya is actively transforming to respond to the digital era, although challenges remain. This adaptation is important for the sustainability and relevance of the media in serving the information needs of local communities. This study provides insight into the dynamics of the evolution of journalism at the local level in a digital context.
Keyword: Journalistic Transformation, Online Media, Media Adaptation, Descriptive Study
Self-Compassion terhadap Loneliness pada Mahasiswa Perantau
Get PDFPenelitian ini bertujuan untuk mengetahui hubungan antara self-compassion dengan loneliness pada mahasiswa perantau di Surabaya. Penelitian ini menggunakan metode kuantitatif dengan dengan korelasional. Sampel penelitian terdiri dari 117 mahasiswa perantau yang di ambil menggunakan Teknik purposive sampling. Instrumen yang digunakan yaitu skala Self Compassion Scale dengan 21 item dan skala Loneliness Scale dengan 20 item yang telah di uji validitas dan realibilitasnya. Data dikumpulkan melalui kuesioner berbasis skala likert untuk mengukur self-compassion dan Loneliness. Analisis data dilakukan menggunakan Teknik korelasi Spearman Rho dengan bantuan perangkat lunak SPSS 26.0 for windows. Hasil penelitian menunjukan bahwa tidak terdapat hubungan signifikan antara self-compassion dengan loneliness pada mahasiswa perantau di Surabaya. Meskipun demikian self-compassion tetap dianggap sebagai salah satu faktor penting dalam mendukung kesejahteraan psikologis mahasiswa perantau
Hubungan antara Regulasi Emosi dan Dukungan Sosial dengan Agresivitas Verbal pada Gen Z
Get PDFPenelitian yang dilaksanakan bermaksud didalam menguji hubungan antara regulasi emosi, dukungan sosial, dan agresivitas verbal pada mahasiswa generasi Z, khususnya di Fakultas Psikologi Universitas 17 Agustus 1945 Surabaya Angkatan 2021. Sebanyak 283 responden dilibatkan melalui kuisioner yang disebarkan menggunakan Google Form dalam kurun waktu satu bulan. Melalui penerapan analisis regresi linier berganda, penelitian ini mengajukan tiga asumsi yang semuanya ditolak. Temuan penelitian menunjukkan bahwasanya regulasi emosi serta dukungan sosial bersamaan hanya memberi kontribusi minimal (0,6%) terhadap agresivitas verbal. Uji F dan uji t menunjukkan tidak ditemukan hubungan signifikan antara regulasi emosi dengan agresivitas verbal, serta dukungan sosial dengan agresivitas verbal. Temuan ini menunjukkan bahwa agresivitas verbal lebih dipengaruhi oleh faktor-faktor lainnya, diantaranya kepribadian, pola komunikasi, dan lingkungan sosial, yang tidak diukur dalam penelitian ini
Analisis Model Komunikasi dalam Kampanye Lingkungan Hidup Greta Thunberg di Instagram: (A Study of Aristotle's Rhetoric in the Digital Era)
No full textThis study examines the communication model in Greta Thunberg’s environmental campaign on Instagram using Aristotle’s rhetorical approach: ethos, pathos, and logos. The research explores how Greta builds credibility as an activist (ethos), engages audience emotions to raise awareness (pathos), and strengthens her arguments with scientific data (logos). A library research content analysis of selected posts from @Gretathunberg identifies communication patterns in her digital campaign. Findings indicate that Greta effectively utilizes Instagram as a persuasive communication tool. Ethos is built through her global recognition as a young activist. Pathos is evident in emotional language, strong metaphors, and urgent calls to action, while logos is reinforced through scientific evidence and expert references. Instagram’s visual and interactive features enhance message dissemination, enabling audiences to actively engage, share content, and participate in discussions rather than being passive recipients. This study concludes that Aristotle’s rhetorical theory remains highly relevant in digital communication. Through a strategic combination of ethos, pathos, and logos, Greta Thunberg successfully mobilizes a global movement, raising public awareness and driving participation in climate action.
Keywords: Rhetoric, Instagram, Campaign, Social Media, ActivismPenelitian ini menganalisis kampanye lingkungan Greta Thunberg di Instagram dengan menggunakan model komunikasi retorika Aristoteles. Penelitian ini mengkaji bagaimana ethos, pathos, dan logos diterapkan dalam komunikasi digital modern untuk memengaruhi opini publik tentang perubahan iklim. Metode analisis konten kualitatif digunakan, dengan fokus pada unggahan terpilih dari akun Instagram Greta. Temuan menunjukkan bahwa Greta secara efektif membangun kredibilitasnya (ethos) sebagai seorang aktivis muda yang berdedikasi, menarik emosi audiens (pathos) melalui narasi yang berdampak, dan memperkuat argumennya dengan data ilmiah (logos). Penelitian ini menyimpulkan bahwa model retorika Aristoteles tetap sangat relevan di era digital, memungkinkan Greta untuk menggerakkan dukungan global dan mendorong aksi lingkungan
Akurasi Visual Proklamasi Kemerdekaan Republik Indonesia di Mata Chat GPT: Analisis Semiotika Ilustrasi Karya Chat GPT
No full textIn today's era, Artificial Intelligence is increasingly entering into the layers of society, including the historical aspect. This study aims to analyze the accuracy of the illustration of the Proclamation of Indonesian Independence 1945 produced by ChatGPT using a qualitative research approach with Ferdinand de Saussure's semiotic analysis research method. This study found that the illustrations produced by AI were historically inaccurate, both in the depiction of the proclaimer, clothing, crowds, and main symbols such as the red and white flag. In addition, although some aspects, such as people's clothing, are close to the facts, most of the illustrations show deficiencies in conveying the true meaning of history. This distortion creates hyperreality, where the resulting visual elements reflect the algorithm's interpretation more than historical facts. This study also highlights that the inaccuracy is due to the limitations of AI in understanding cultural and historical contexts in depth. AI illustrations tend to function as symbolic metaphors rather than factual representations, obscuring the original meaning of events. That makes AI categorized as popular culture, which makes it inauthentic and unoriginal. It shows that AI still requires human intervention to ensure cultural and historical accuracy. This study concludes that the use of AI in representing historical events requires critical oversight to prevent the spread of biased or misleading information. The study emphasizes the need for collaboration between technology and human interpretation to maintain the accuracy of historical information.Pada era saat ini, Kecerdasan Buatan semakin merambah ke dalam lapisan masyarakat, termasuk aspek sejarah. Penelitian ini bertujuan untuk menganalisis keakuratan ilustrasi Proklamasi Kemerdekaan Indonesia 1945 yang dihasilkan ChatGPT menggunakan pendekatan penelitian kualitatif dengan metode penelitian analisis semiotika Ferdinand de Saussure. Penelitian ini menemukan bahwa ilustrasi yang dihasilkan AI kurang akurat secara historis, baik dalam penggambaran proklamator, pakaian, masyarakat, maupun simbol-simbol utama seperti bendera merah putih. Selain itu, meskip beberapa aspek, seperti pakaian orang, mendekati fakta, sebagian besar ilustrasi menunjukkan kekurangan dalam menyampaikan makna sejarah yang sebenarnya. Distorsi ini menimbulkan hiperrealitas, di mana elemen visual yang dihasilkan lebih mencerminkan interpretasi algoritma daripada fakta sejarah. Penelitian ini juga menyoroti bahwa ketidakakuratan tersebut disebabkan oleh keterbatasan AI dalam memahami konteks budaya dan sejarah secara mendalam. Ilustrasi AI cenderung berfungsi sebagai metafora simbolik daripada representasi faktual, sehingga mengaburkan makna asli dari suatu peristiwa. Hal itu membuat AI dikategorikan sebagai budaya populer, yang membuatnya tidak autentik dan tidak orisinal. Penelitian menunjukkan bahwa teknologi AI masih memerlukan campur tangan manusia untuk memastikan keakuratan budaya dan sejarah. Studi ini menyimpulkan bahwa penggunaan AI dalam merepresentasikan peristiwa sejarah memerlukan pengawasan kritis untuk mencegah penyebaran informasi yang bias atau menyesatkan. Studi ini menekankan perlu kolaborasi teknologi dan manusia untuk menjaga keakuratan informasi sejarah
Beneath the Gavel: Business Law and the Specter of Authoritarian Capitalism in Indonesia
Get PDFThe evolution of the Indonesian government into authoritarian capitalism since the Reformation era, especially under Joko Widodo’s administration, has triggered significant legal issues in the development of economic policy. This study examines how authoritarian tendencies intersect with legal instruments and economic development, focusing particularly on legislative practices like the Job Creation Omnibus Law, which has drawn public criticism for undermining democratic principles and the supremacy of law. Using a normative juridical approach and the doctrinal legal method as defined by Terry Hutchinson, this research analyzes the principles and norms of economic law in the context of an authoritarian regime. The findings suggest that although laws like the Omnibus Law are claimed to attract foreign direct investment, the way they are drafted and enacted tends to reflect elite interests and lacks adequate public participation. This points to a broader pattern of authoritarian capitalism, where law functions more as a tool of political control than as a safeguard of social justice. Compared to countries like China and Singapore, Indonesia illustrates a weaker institutional capacity to uphold impartial and accountable legal frameworks. The study concludes that without substantive legal reform and stronger democratic oversight, the use of law for political gain will continue to undermine social stability and long-term economic sustainability. For that reason, legal development rooted in justice, participation, and the supremacy of law should be seen as a priority in improving Indonesia’s economic governance
Access to Justice: Addressing Case Backlogs and Promoting Gender-Sensitive Alternative Dispute Resolution
Get PDFAccess to justice is a fundamental element in ensuring human rights and the rule of law. In Bangladesh, the judicial system faces serious challenges, most notably the issue of case backlogs that hinder the timely, fair, and efficient resolution of disputes. This study aims to analyze the root causes of the legal system’s congestion and to explore the potential of gender-sensitive ADR mechanisms as a means to broaden access to justice, particularly for vulnerable groups such as women. Using a descriptive qualitative approach, this study relies on secondary data from policy reports, academic publications, and relevant field studies. The findings indicate that the formal judicial system in Bangladesh is burdened by a lack of human resources and infrastructure, as well as by complex and gender-insensitive legal procedures. In contrast, ADR mechanisms such as mediation and arbitration hold significant promise for reducing the caseload of the courts and enabling more participatory and expedited dispute resolution processes. However, the effective implementation of ADR continues to face structural challenges, including gender bias, limited public awareness, and the need for institutional reform and gender-based training. Therefore, a multi-level approach that includes policy reform, gender-sensitive capacity building, and community advocacy is essential to promote a more responsive and inclusive legal system in Bangladesh