UMA - Open Access Journals (Universitas Medan Area)
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Public Communication Management for Strengthening The Marketing of MSME Products in Makassar City
Get PDFThis study investigates public communication governance and its role in supporting the marketing of Micro, Small, and Medium Enterprises (MSMEs) in Makassar City, focusing on multi-actor collaboration, participation dynamics, and communication effectiveness. Using a qualitative approach, data were collected through in-depth interviews with government officials, MSME actors, supporting communities, and associations. Findings show a shift toward a more collaborative and participatory communication model, where MSMEs, communities, and government actors co-create strategies from planning to evaluation. The use of diverse communication channels—from social media and websites to informal networks—has improved MSMEs’ access to promotional programs, training, and policy information. Responsive feedback mechanisms and active stakeholder participation strengthen program relevance and effectiveness. However, persistent challenges remain, including digital literacy gaps, infrastructure limitations, and preferences for conventional communication. These findings underscore the need for adaptive, inclusive, and multi-layered communication strategies tailored to the diverse characteristics of urban MSMEs. The study recommends strengthening digital literacy, institutionalizing cross-sector collaboration, and conducting regular evaluations to sustain public communication innovations. By highlighting the strategic role of local communication governance, this research contributes to Indonesia’s broader agenda of enhancing MSME competitiveness and advancing an inclusive digital economy
The Influence of Firm Size and Macroeconomic Factors on Financial Distress in IDX Public Listed Companies
Get PDFPost-pandemic global economic uncertainty has heightened the risk of financial distress, particularly in the manufacturing sector, which is vulnerable to macroeconomic pressures. This study aims to analyze the influence of firm size, inflation, and exchange rate on financial distress in manufacturing companies listed on the Indonesia Stock Exchange during the 2021–2023 period. The research applies bankruptcy theory and signaling theory to explain the relationships between variables. A quantitative approach was employed using multiple linear regression on 510 observations from 170 companies. The findings reveal that firm size and exchange rate significantly affect financial resilience, while inflation has no significant impact. Large firms are more resistant to financial pressure, and rupiah depreciation benefits export-oriented companies. The novelty of this study lies in its focus on the post-pandemic period an underexplored timeframe and its integration of both internal and external factors in analyzing financial distress. These findings offer practical implications for corporate management in developing growth strategies and adaptive exchange rate risk management to enhance resilience against global economic shocks
Assessing the Implemention Success of Official Travel Management System at Directorat General of Budget, Ministry of Finance, Republic of Indonesia
Get PDFAn effective information system is essential for promoting public service delivery and bureaucratic efficiency. In particular, a strong information system can improve the quality of budget execution in the context of official travel procedures. Using the Information Systems Success Model put forward by DeLone and McLean (2003), this study aims to evaluate the efficacy of the Directorate General of Budget's official travel management system installation. This model states that a number of causally related dimensions, including system quality, information quality, service quality, user satisfaction, and net benefits, can be used to gauge an information system's success. The primary variables in this study are these five dimensions. The Directorate General of Budget has been using the official travel management system since April 2024, but no thorough quantitative study using this model has been conducted as of yet. This study also examines whether user satisfaction mediates system quality, information quality and service quality with regard to net benefits. Data were collected by online survey with Google Forms among 110 staffs who had previously used the system in Directorate General of Budget. The Partial Least Squares Structural Equation Modeling (PLS-SEM) method was employed to analyze the data and SmartPLS software was used for investigations. Results suggest that if the technical capability of the system is enhanced to satisfy users’ requirements, then users would be more satisfied and increase overall system performanc
Adaptasi Alat Ukur Academic Self-Regulated Learning Questionnaire Versi Indonesia
Get PDFSelf-regulated learning merupakan pembelajaran yang efektif membantu siswa menyadari hubungan antara cara berpikir, tindakan yang mereka ambil, dan hasil yang mereka capai dalam kehidupan sosial dan lingkungan. Self-regulated learning adalah bagian dari komponen strategi pembelajaran. Komponen lain dari strategi pembelajaran adalah keterampilan dan kemauan. Penelitian ini bertujuan untuk mengadaptasi Academic Self-regulated Learning Questionnaire (ASLQ) ke Bahasa Indonesia serta mengkaji reliabilitas dan validitas dari adaptasi tersebut. Adaptasi alat ukur ini melewati proses penerjemahan forward-backward, tinjauan para ahli, dan cognitive debriving sebelum diadministrasikan pada 57 responden yang dipilih dengan Teknik purposive sampling. Alat ukur secara keseluruhan memiliki reliabilitas yang sangat tinggi (α = 0,872) dan memiliki daya diskriminasi yang baik. Uji analisis faktor konfirmatori menunjukkan bahwa model tidak fit (p pada chi-square (χ2) kurang dari 0,001, RMSEA = 0,141, TLI = 0,290, CFI = 0,334, SRMR = 0,123). Setelah 25 item dihapus, model menunjukkan model yang fit (p pada chi-square (χ2) lebih dari 0,001 yaitu 0,028, RMSEA = 0,090, TLI = 0,874, CFI = 0,906, SRMR = 0,069). Adaptasi alat ukur ini dapat digunakan untuk mengukur konstruk self-regulated learning dengan menghapus 25 item
Burnout Ditinjau dari Psychological Capital pada Guru
Get PDFTujuan penelitian ini untuk mengetahui bagaimana pengaruh psychological capital terhadap burnout pada guru disalah satu sekolah yang ada di Bekasi. Teknik pengambilan sampel menggunakan sensus dengan jumlah sampel 130 guru. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik regresi sederhana untuk meguji hipotesis. Berdasarkan hasil analisis regresi sederhana menemukan bahwa terdapat pengaruh psychological capital terhadap burnout pada guru dengan nilai p>0,05, yaitu sebesar 0,380; r = 0,078; R2=0,006. Berdasarkan hasil tersebut maka dapat disimpulkan bahwa psychological capital tidak terbukti menjadi prediktor dari burnout, dengan kata lain H0 diterima
Design and Construction of Electric Car Chassis for KMLI Competition Needs Using Solidwork
Get PDFThe purpose of this study is to obtain a lightweight electric car frame design, providing a sense of security and comfort with the intention of being the basis for the placement of the steering, engine, battery, vehicle body, and other components for the needs of the Indonesian Electric Car Competition. This study was conducted using the Research Development method with the help of software that is capable of making a model in the form of a 3-dimensional image, in this case the software used is Solidwork software. Based on the results of the study, it can be concluded that: (1) Chassis design using Solidwork software with the design of KMLI competition needs before implementation (2) Car frame design with a 2000 watt BLDC motor specification with a 1/2 inch Black Iron Pipe frame material. (3) Analysis of the frame height when receiving a load of 100 kg is 16.5 cm with a chain ratio of 1500 rp
Eksekusi Objek Jaminan Fidusia yang Berada Dibawah Penguasaan Debitur yang Wanprestasi Pasca Putusan MK Nomor 2/PUU XIX/2021 (Studi Putusan Nomor 83/Pdt.G/2022/PN.Pbr)
Get PDFThe Constitutional Court Decision No. 2/PUU-XIX/2021 affirms that the execution of fiduciary collateral objects may not be carried out unilaterally by the creditor if the debtor refuses to voluntarily surrender the object. Under such circumstances, execution must be conducted through judicial proceedings to ensure legal protection and uphold the principle of justice for both parties. This study aims to examine the judicial considerations in the Decision of the Pekanbaru District Court No. 83/Pdt.G/2022/PN.Pbr concerning the execution of fiduciary collateral still under the control of a defaulting debtor. The research applies a normative juridical approach and case study method by analyzing the application of legal norms following the Constitutional Court's decision. The findings indicate that the judge considered the principles of fairness, balanced legal protection, and legal certainty in rendering the verdict. The study concludes that, in accordance with constitutional mandates post-Decision No. 2/PUU-XIX/2021, the execution of fiduciary security objects contested by the debtor must obtain judicial authorization
Analysis of Public Sentiment towards the Implementation of Pancasila Legal Philosophy in Indonesian International Diplomacy on Social Media
Get PDFThis study evaluates Indonesian public perceptions of the application of Pancasila Legal Philosophy in international diplomacy through sentiment analysis on Twitter. Using text mining and machine learning algorithms—Naïve Bayes, Support Vector Machine (SVM), and Random Forest—1,000 tweets containing keywords such as “Pancasila diplomacy,” “Indonesia at the UN,” and “Indonesian foreign policy” were collected and classified into positive, negative, and neutral categories. The distribution of sentiment indicates that 60% of tweets express positive perceptions, highlighting pride in Indonesia’s promotion of Pancasila values in global forums, 25% remain neutral, and 15% are negative, reflecting criticism of perceived inconsistencies between Pancasila and diplomatic practice. Model evaluation employed a confusion matrix and metrics of accuracy, precision, and recall across sentiment classes. Results demonstrate that Random Forest outperformed other models with 91% accuracy, stable precision, and recall across all classes. By comparison, SVM achieved 89% accuracy with consistent performance in high-dimensional text data, while Naïve Bayes recorded 85% accuracy but was less effective in handling class imbalance, particularly in neutral–negative distinctions. The Random Forest model explained the greatest variance in sentiment classification, confirming its strength in processing short and contextually complex texts such as tweets. Practically, these findings provide a foundation for developing a real-time sentiment monitoring system to support adaptive and participatory diplomacy. Integrating sentiment analysis into policy design enables the Ministry of Foreign Affairs to anticipate public responses, strengthen diplomacy narratives rooted in Pancasila values, and build a data-driven ecosystem for public diplomacy. This contributes to inclusive, ethical, and responsive foreign policy aligned with Indonesia’s state philosophy.Penelitian ini bertujuan untuk mengevaluasi persepsi masyarakat Indonesia terhadap penerapan nilai-nilai Filsafat Hukum Pancasila dalam praktik diplomasi internasional, khususnya melalui analisis sentimen di media sosial Twitter. Melalui pendekatan text mining dan analisis sentimen berbasis algoritma Support Vector Machine (SVM), Naïve Bayes, dan Random Forest, penelitian ini mengumpulkan data tweet dengan kata kunci seperti “diplomasi Pancasila”, “Indonesia di PBB”, dan “politik luar negeri RI”. Data diklasifikasikan dalam kategori positif, negatif, dan netral. Hasil penelitian menunjukkan bahwa Berikut kesimpulan singkat sepanjang ±200 kata berdasarkan narasi yang Anda berikan: Evaluasi model klasifikasi sentimen publik terhadap implementasi Filsafat Hukum Pancasila dalam diplomasi internasional Indonesia menunjukkan bahwa Random Forest memberikan performa terbaik dengan akurasi 91%, presisi, dan recall yang konsisten di seluruh kelas sentimen. Model ini unggul dalam mengidentifikasi opini publik secara tepat di media sosial, dibandingkan Naïve Bayes yang lebih sensitif terhadap ketidakseimbangan data, serta SVM yang performanya stabil namun masih di bawah Random Forest. Hasil ini menegaskan keunggulan Random Forest dalam pengolahan teks pendek dan opini publik, yang dapat menjadi dasar pengembangan sistem pemantauan sentimen real-time berbasis machine learning untuk mendukung kebijakan diplomasi yang adaptif dan responsif. Integrasi analisis sentimen ke dalam proses perumusan strategi diplomasi memungkinkan pemerintah merespons dinamika opini publik secara cepat dan tepat, sejalan dengan nilai-nilai Pancasila. Lebih lanjut, penguatan diplomasi publik berbasis nilai-nilai Pancasila dan pembangunan ekosistem data-driven diplomacy menjadi langkah strategis penting. Kolaborasi lintas sektor dan penyusunan pedoman etika komunikasi digital juga diperlukan untuk menjaga konsistensi dan integritas narasi diplomasi Indonesia di kancah internasional. Dengan demikian, penerapan teknologi klasifikasi sentimen membuka peluang bagi kebijakan luar negeri yang lebih inklusif, etis, dan berlandaskan filosofi bangsa
Analisis Kinerja Pegawai di Bagian Organisasi Sekretariat Daerah Kota Lhokseumawe
Get PDFPenelitian ini bertujuan menganalisis kinerja pegawai pada Bagian Organisasi Sekretariat Daerah Kota Lhokseumawe. Studi ini menggunakan pendekatan kualitatif dengan metode deskriptif untuk menggali data secara mendalam melalui wawancara, observasi, dan studi dokumentasi. Responden penelitian meliputi kepala bagian, kepala subbagian, dan staf pelaksana di Bagian Organisasi Sekretariat Daerah Kota Lhokseumawe. Temuan penelitian menunjukkan bahwa kinerja pegawai di Bagian Organisasi secara umum cukup baik, namun masih terdapat beberapa aspek yang memerlukan perbaikan. Aspek kuantitas dan kualitas kerja menunjukkan hasil positif, didukung oleh pemahaman tugas yang baik dan ketelitian dalam pelaksanaan pekerjaan. Akan tetapi, aspek disiplin, tanggung jawaab, motivasi dan inisiatif pegawai perlu ditingkatkan melalui pengawasan yang lebih ketat dan program pengembangan diri. Faktor-faktor yang memengaruhi kinerja meliputi kompetensi sumber daya manusia, lingkungan kerja, dan sistem reward and punishment yang belum optimal. Penelitian ini merekomendasikan perlunya pelatihan berkelanjutan, evaluasi kinerja berkala, dan peningkatan motivasi kerja untuk mendorong kinerja pegawai yang lebih optimal di Bagian Organisasi Sekretariat Daerah Kota Lhokseumawe
Smart And Inclusive Campus: Pengembangan Sarana dan Prasarana untuk Kampus Ramah Disabilitas
Get PDFInclusive higher education in Indonesia still faces significant challenges in fulfilling the rights of persons with disabilities to access equal education. This article presents the concept of a "Smart and Inclusive Campus" with a Universal Design for Learning (UDL) approach and the integration of sensory-based digital technology to create a more inclusive campus environment. A literature study and analysis of inclusive education policies were conducted to identify accessibility gaps and formulate strategies for developing campus facilities and infrastructure. The results of the study indicate that a combination of universal open space design, mobile-based assistive technology, digital navigation systems, and reinforcement of physical infrastructure can enhance the academic and social participation of students with disabilities. Implementing this concept requires the active involvement of various parties, including the government, educational institutions, the private sector, and disability communities. By adopting this innovative approach, higher education institutions are expected to create a learning environment that is equal, adaptive, and supportive of all students