Universitas Komputer Indonesia

This research investigates the impact of production costs, working capital, along with sales volume in relation to net profit in manufacturing companies within the cosmetics and household goods sub-sector registered on the Indonesia Stock Exchange for the period 2018 - 2023. This study employed a quantitative approach with descriptive and verification methods. By means of purposive sampling, five companies were selected, resulting in 30 observations over six years. Data analysis techniques include path analysis, classical assumption tests, correlation, coefficient of determination, and hypothesis testing, supported by IBM SPSS Statistics 20. The study demonstrates that production costs with working capital have insignificant and positive effect on net profit, while sales volume exhibits insignificant and negative effect. When tested simultaneously, all three variables show a positive but insignificant relationship with net profit. These results suggest that the profitability of companies in this subsector is not solely determined by production costs, working capital, along with sales volume, but is likely to be influenced by additional factors within and outside the organization beyond the scope of this study. Keywords: Production Costs; Working Capital; Sales Volume; Net Profit; Manufacturing Companies

The rapid development of information technology has driven transformation in education, including the use of Learning Management Systems (LMS) to facilitate independent and flexible learning aligned with the Merdeka Curriculum. This study aims to evaluate the user experience (UX) of the Sinau LMS at SMA Negeri 1 Sidareja using the UX Curve method, which tracks changes in user perceptions over time. The research involved 20 grade XII students who had used the LMS for at least three months. Data were collected through initial questionnaires, interviews, UX curve drawings, and final questionnaires, focusing on five main UX aspects: General UX, Attractiveness, Ease of Use, Utility, and Degree of Usage. The analysis of 100 curves revealed that more than half of the respondents experienced a decline in user experience quality, particularly in Ease of Use, General UX, and Degree of Usage, due to issues such as an unattractive interface, navigation challenges, and limited feature relevance. Conversely, a minority showed improved perceptions as they adapted and became more familiar with the system. These findings highlight the need for continuous improvement of the LMS's interface design and features to enhance user satisfaction and learning effectiveness. The study contributes theoretically by demonstrating the application of the UX Curve in educational systems and practically by providing recommendations for refining LMS development to better support the Merdeka Curriculum.

This research aims to decode the sign system encoded in online dating hodiernal expressions. The decoding process involves Barthes' semiotic analysis of myths, structured in expressions, which reveals the connotative meaning and code system underlying these expressions. A qualitative descriptive method was used to analyze the data. The signs were decoded using Barthes' semiotic code to reveal their denotative meaning, which was then expanded into connotative meaning and the code system to expose the myths embedded in the expressions. The findings suggested that the myths were constructed through relations among connotative meanings and code systems. Four of the five code systems were identified; the semantic code system was the majority code, creating connotative meanings, and the others were proaretic, cultural, and symbolic codes. From this research, it can be concluded that the encoded message in expressions carries not only their literal meaning but also their relation to the outside world, namely, their connotative meanings. Therefore, these findings are expected to facilitate the interpretation of all recognized signs, thereby making meaning-making easier. Keywords: Online Dating, Myths, Hodiernal Expressions, Connotative Meaning

The construction industry is undergoing a transformative shift with the integration of intelligent monitoring technologies. Advanced sensing systems, including IoT-enabled devices, drones, and wearable technologies, are increasingly employed to track project progress, detect potential hazards, and predict environmental impacts. Coupled with artificial intelligence (AI) and machine learning algorithms, these technologies facilitate proactive decision-making, enhance operational efficiency, and reduce human error. This chapter explores emerging trends in intelligent construction monitoring, highlighting innovations in real-time data acquisition, predictive analytics, automated reporting, and adaptive risk management frameworks. It also examines challenges related to data integration, interoperability, cybersecurity, and ethical considerations, providing a comprehensive roadmap for researchers, practitioners, and policymakers to leverage intelligent monitoring systems for safer and more sustainable construction practices.

Berbagai media sederhana yang bisa kita berikan kepada siswa untuk menunjang proses pembelajaran yang berkesinambungan. Teknik pemanfaatan lingkungan sekolah menjadi salah satu jalan yang harus diterapkan untuk memfasilitasi sumber belajar siswa. Tujuan dalam penelitian ini adalah untuk meningkatkan kemampuan menulis puisi dan aktivitas belajar siswa pada melalui teknik pemanfaatan lingkungan sekolah pada siswa SMP kelas VII. Penelitian ini merupakan penelitian tindakan kelas dengan metode penelitian deskriptif kualitatif yang terdiri dari 2 siklus. Setiap siklus terdiri atas 4 tahap yaitu, perencanaan, pelaksanaan, pengamatan dan refleksi. Dari hasil observasi dapat diketahui bahwa melalui teknik pemanfaatan lingkungan sekolah kemampunan menulis puisi pada siswa siswa SMP kelas VII mengalami peningkatan di setiap siklusnya. Peningkatan tersebut dapat dilihat dari perolehan data pada siklus I yang nilai rata ratanya mencapai 72,53 dengan kategori baik. Dan pada siklus II nilai rata-rata mencapai 80,66 dengan kategori baik sekali. Selain kemampuan manulis yang meningkat , aktivitas belajar siswa juga mengalami peningkatan sehingga siswa tertarik untuk mengikuti pembelajaran Bahasa Indonesia dengan materi menulis puisi. Hal ini membuktikan bahwa lebih aktif dan bersemangat mengikuti pembelajaran Bahasa Indonesia dengan teknik pemanfaatan lingkungan sekolah. Penelitian ini menyimpulkan bahwa dengan teknik pemanfaatan lingkungan sekolah kemampuan menulis siswa dapat meningkat khususnya pada materi menulis puisi pada siswa SMP kelas VII.

This study aims to analyse the influence of human capital, as measured by education and health, on poverty levels in 34 provinces in Indonesia. Using quantitative methods with panel data for the 2020–2024 period, this study applies a fixed effect model based on the results of the Chow and Hausman tests. Testing is carried out through panel regression, t-tests, F-tests, and classical assumption testing to ensure model validity. The results of the study show that education has a negative and significant effect on poverty, which means that increasing the average length of schooling can reduce the number of poor people. In contrast, health as measured by life expectancy has a positive and significant effect, indicating structural variations between regions that require further study. Simultaneously, both human capital variables have a significant influence on poverty. A limitation of this study is that the capability indicators used are limited to education and health, thus not reflecting the full dimensions of the capability approach. Therefore, future researchers are advised to include other variables such as access to technology, employment opportunities, environmental conditions, or social protection to provide a more comprehensive picture of the determinants of poverty in Indonesia.

The growing intensity of competition in the automotive industry has encouraged companies to more thoroughly examine marketing elements that shape consumer behaviour and purchasing decisions. At the dealership level, sales performance often experiences fluctuations across different periods, indicating that the marketing strategies implemented have not yet fully succeeded in maximising consumer purchase outcomes. This situation highlights the importance of conducting empirical research that concentrates on fundamental marketing variables. Aiming to analyze the impact of brand image, pricing, and social media marketing on car purchase decisions, this research focuses on consumers of the Honda Perdana Soreang Branch. A quantitative survey method was employed, collecting primary data through questionnaires from past customers. Analysis via multiple linear regression shows that all three variables have a positive and significant influence on purchasing decisions, both partially and simultaneously. These findings indicate that a strong brand reputation, pricing strategies aligned with consumer value perceptions, and effective utilisation of social media platforms can enhance consumer confidence in making car purchase decisions. It is expected that this study will enhance the theoretical foundations of marketing management while delivering practical recommendations to assist automotive companies in developing more effective and consumer-oriented marketing strategies.

Penentuan topik skripsi merupakan tahap krusial dalam proses epistemologis mahasiswa yang sering kali menghadapi kendala subjektivitas. Permasalahan utama dalam penelitian ini adalah pemilihan topik yang sering kali bersifat pragmatis dan tidak selaras dengan kompetensi akademik, sehingga berdampak pada rendahnya motivasi dan risiko keterlambatan kelulusan. Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi topik skripsi berbasis machine learning yang mampu memberikan saran secara objektif. Metode penelitian melibatkan komparasi empat algoritma klasifikasi: k-Nearest Neighbors (k-NN), Decision Tree, Naive Bayes, dan Random Forest. Tahapan pengolahan data mencakup pembersihan, transformasi, penanganan ketidakseimbangan data menggunakan SMOTE, serta validasi model melalui 10-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa algoritma Random Forest menghasilkan performa terbaik dengan nilai AUC sebesar 0.804, sehingga dikategorikan sebagai model klasifikasi yang baik. Meskipun demikian, model masih memiliki keterbatasan dalam memprediksi kelas minoritas seperti topik Networking. Secara keseluruhan, sistem ini dapat menjadi alat bantu pendukung keputusan bagi mahasiswa untuk memetakan potensi akademik mereka secara lebih sistematis dan ilmiah

Indonesia, as an agricultural country ranked 51st out of 78 countries in the 2021 Food Sustainability Index (FSI) and with a low performance in the Sustainable Agriculture category (ranked 71st), faces serious challenges in global food security due to the lack of accurate agricultural land data. This problem hinders efforts to achieve the Sustainable Development Goals (SDGs), particularly SDG 2 on zero hunger for food security and nutrition, and SDG 12 on sustainable consumption and production in the efficient use of resources. To overcome this, the Precision Agriculture Ecosystem Map has emerged as an innovative solution, integrating IoT devices, Edge Computing, and Artificial Intelligence (AI) for GIS-based plantation mapping. This system provides farmers with accurate information on land characteristics, crop requirements, planting season determination, and recommendations for fertilization and irrigation, and even predicts the risk of crop failure. This innovation is expected to increase agricultural productivity in a sustainable manner, optimize resource use, reduce waste, and significantly contribute to national food security and farmer welfare.