Bincang Sains dan Teknologi
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Uncovering Food Waste Behavior and Its Determinants among Students at Universitas Ahmad Dahlan
Full text linkUniversitas Ahmad Dahlan (UAD) plans to advance the development of a green campus at Campus 4, with food waste management identified as a key supporting component. However, student behavior related to food waste has not yet been empirically examined, highlighting the need for this study. This research employed a multiple linear regression approach using questionnaire-based data collected from 421 students across 27 study programs at UAD Campus 4. The model tested the indirect influence of materialism, knowledge, and religiosity on food waste behavior, with environmental awareness functioning as a mediating variable. The findings indicate that UAD students’ food waste behavior has an average score of 3.14, suggesting that students tend to generate relatively low amounts of food waste. The model further reveals that materialism, knowledge, and religiosity exert indirect effects on food waste, and that environmental awareness significantly mediates the relationships between these predictors and food waste behavior. This study underscores the importance of enhancing students’ environmental awareness as an effective mechanism to reduce food waste and support the realization of a green campus
Opportunities and Challenges of AI Adoption in Ugandan Businesses
Full text linkThe integration of Artificial Intelligence (AI) in business sectors has brought transformative changes across the globe. Uganda, as a developing country with a predominantly young population, presents both unique opportunities and challenges for AI implementation. This study explores the demographic, infrastructural, and policy-related factors influencing AI adoption in Ugandan businesses. Using a mixed-methods approach, including literature reviews, demographic analysis, case studies, and policy evaluation, the study reveals that while AI has the potential to revolutionize sectors like agriculture, retail, and services, its success depends heavily on inclusive policy, digital literacy, infrastructure development, and localized innovation. The paper concludes by recommending targeted policy reforms, capacity building, and private-sector partnerships to ensure equitable and efficient AI deployment
Double-Edged Sword: AI Tools Dependency and Empowerment among Office Administration Students: A Case Study of Bachelor of Science in Office Administration of Camarines Sur Polytechnic Colleges, Philippines
Full text linkThis study aims to investigate the dual nature of Artificial Intelligence (AI) tools such as ChatGPT as a double-edged sword. The respondents of this study are Two Hundred Fifteen (215) Office Administration students. Purposive sampling was utilized to identify the participants in this study, including those Office Administration students who are familiar with the use of ChatGPT. This study used a descriptive correlational research design that utilizes a checklist questionnaire for gathering data. For statistical tools, the percentage technique, slovin’s formula, Likert scale, weighted mean, and rank order method were used. The findings revealed that Office Administration students “Sometimes” use AI tools such as ChatGPT in terms of both extent and duration. For the effects contributing to respondents' AI tools dependency, the results revealed respondents “Disagree” with positive effects and “Agree” with negative effects in terms of accessibility. In terms of efficiency, the respondents are “Agree” in both positive and negative effects. The indicators listed under educational pressure, the respondents “Agree” with positive effects and “Disagree” with the negative effects. Lastly, when it comes to work ethics, the respondents revealed that they “Agree” with the positive effects and “Disagree” with the negative effects. As an output, the researchers proposed an action plan to mitigate the perceived dependency while also empowering the respondents. This action plan is designed and aligned based on the results of the survey
Assessment of the Level of Software Development Using CMMI-Dev 1.3 on the Unjani Official Web
Full text linkUNJANI website ranked 186 in Webometric ranking. Webometric is a ranking system of universities around the world conducted by Cybermetrics Labs which is useful to determine the ranking in terms of the level of performance indicators of universities, which include Visibility, Openness, Excellence. The purpose of this study was to assess the level of maturity of the software development process on the UNJANI website using CMMI Dev 1.3. This study uses quantitative methods, with a survey approach to the person in charge and manager of the UNJANI website. Quantitative research is a way to obtain research data measured using tools such as surveys, questionnaires, or experiments, and analysed with statistical methods to find certain patterns, relationships, or trends. The results of this study found that out of 7 CMMI Dev.1.3 process areas, some areas are in accordance with the standard process of making the UNJANI website and some process areas are not in accordance with the CMMI Dev 1.3 framework. The maturity level of the UNJANI website is in the category of partially implemented in most process areas, with the highest GAP (50%) in Configuration Management (CM) and the lowest GAP (30%) in Project Monitoring and Control (PMC). The conclusion of this research reveals that UNJANI website still needs improvement in configuration management, change recording, and feature quality evaluation before release
DeepSeek dan ChatGPT: Mana yang Lebih Baik untuk Penyusunan Proposal Riset?
Full text linkPenelitian ini bertujuan untuk membandingkan kemampuan dua platform kecerdasan buatan (AI), yaitu DeepSeek dan ChatGPT, dalam mendukung penyusunan proposal penelitian, khususnya pada topik gamifikasi untuk meningkatkan kesadaran siswa sekolah dasar tentang kemiskinan. Kedua AI tersebut diuji dengan menggunakan prompt yang sama, dan analisis dilakukan berdasarkan aspek persamaan, perbedaan, serta potensi pemanfaatannya dalam konteks penelitian akademik. Hasil penelitian menunjukkan bahwa DeepSeek dan ChatGPT sama-sama mampu memberikan ide penelitian dalam tingkat yang umum, namun kerincian rencana penelitian dapat ditingkatkan melalui pemberian prompt lanjutan. DeepSeek menonjol dalam hal jumlah kata yang lebih banyak dan struktur yang lebih lengkap, sementara ChatGPT memiliki keunggulan pada fitur edit/explain yang memudahkan pengguna untuk menggali informasi lebih dalam. Fitur ini tidak tersedia pada DeepSeek, sehingga pengguna harus mengandalkan prompt lanjutan untuk memperoleh detail yang lebih mendalam. Meskipun demikian, fitur edit/explain pada ChatGPT memberikan kemudahan dalam proses cepat penyusunan proposal penelitian yang lengkap. Kesimpulan dari penelitian ini adalah bahwa pemilihan AI harus disesuaikan dengan kebutuhan dan pengalaman pengguna. DeepSeek cocok untuk pengguna yang memprioritaskan struktur dan kerincian, sementara ChatGPT lebih sesuai bagi mereka yang membutuhkan fleksibilitas dan kemudahan dalam menggali informasi secara mendalam
Elevation Dynamics and Thermal Variations During the Eruption Phases of Mount Lewotobi Laki-laki
Full text linkMount Lewotobi Laki-Laki since December 2023, the eruption status has increased, with a substantial increase in November 2024. This led to modifications in the distribution of temperature, the patterns of volcanic material flow, and the morphology of the land. The objective of this research was to examine the relationship between the elevation profiles and temperature fluctuations that occurred during the eruption of Mount Lewotobi Laki-Laki. This investigation illustrates the considerable impact of volcanic activity on the environment by employing satellite data-based methodologies, digital elevation models (DEMs), and thermal analysis. The results suggest that volcanic activity has a significant impact on the distribution of temperature and the alteration of geological structures. The observed temperature increase, which extends from the crater to the slopes and lowlands, has an impact on local ecosystems and atmospheric conditions. The precipitous elevation profile significantly impacts the flow pattern of volcanic material, such as lava and lahars, which can pose a disaster risk to settlements and community activities in the vicinity. This research underscores the necessity of ongoing monitoring for risk mitigation and community preparedness in volcanic disasters
From Data Assets to Value Creation: Competitive Advantage in the AI Age
Full text linkThe rapid advancement of Artificial Intelligence (AI) has fundamentally transformed how organizations create and sustain competitive advantage. In contemporary business environments, data is no longer treated merely as a supporting asset but has emerged as a primary source of value creation. This article examines how data-driven approaches, enabled by AI technologies, generate competitive advantage through enhanced decision-making, personalization, and operational efficiency. Using a conceptual research method, this study synthesizes findings from international peer-reviewed journals to analyze the mechanisms through which data becomes economic value. The Results and Discussion section elaborates on three core dimensions: the transformation of data into value generators, the economic characteristics of data in AI-driven markets, and the strategic logic of value creation through data–algorithm–context alignment. The findings indicate that data-driven competitive advantage is contingent not only on data volume but also on data quality, governance, and organizational capability. This article contributes to the growing body of literature on AI-enabled strategy by offering an integrated framework for understanding data as a strategic source of competitive advantage
The Influence of PhET-Assisted STEM Learning Model on Understanding the Concept of Motion Transformation in Physics
Full text linkThis study aims to analyze the effect of the PhET-assisted STEM learning model on the understanding of motion transformation concepts among students at Muhammadiyah Langkaplancar Junior High School. The concept of motion transformation includes translation, rotation, and acceleration, which are abstract and often difficult for students to understand. To overcome this, PhET is used as an interactive simulation medium that allows students to manipulate variables directly and observe their effects in real time. The research method uses an experimental design with pre-tests and post-tests. The research sample consisted of 20 ninth-grade students selected at random. The research instruments were concept comprehension tests, observations, and student learning experience questionnaires. The results showed an increase in the average comprehension score of 20 points in the experimental group, while the control group only increased by 4 points. Although the ANOVA test did not show a statistically significant difference between the two groups (p-value 0.95), PhET-assisted learning was proven to increase interactivity and the quality of physics learning. In conclusion, the application of the PhET-assisted STEM learning model can be an alternative innovative strategy to strengthen the understanding of complex physics concepts at the junior high school level, while encouraging student motivation and engagement in the learning process
The Dark Side of Bot Farms in the Business World: An Ethical and Economic Threat in the Digital Era
Full text linkIn the digital economy, bot farms have emerged as a controversial tool businesses use to manipulate online visibility and influence consumer perception. While automation offers efficiency, bots' misuse, primarily through coordinated bot farms, poses serious ethical, legal, and economic challenges. This article critically examines the negative impact of bot farms in business practices, focusing on deceptive marketing, unfair competition, consumer misinformation, and the distortion of digital ecosystems. Using qualitative analysis and literature review, this study highlights the urgent need for regulatory frameworks and ethical digital governance to combat the rise of bot-driven manipulation. The findings show that bot farms undermine trust, disrupt market fairness, and erode the integrity of online platforms, calling for cross-sector efforts to mitigate their spread
Mapping the Supply Chain System of the Tolaki Coffee Industry in South Konawe Regency
Full text linkThe coffee agribusiness sector in South Konawe Regency has shown gradual growth with the emergence of a regionally distinctive coffee processing industry known as Tolaki Coffee. The name Tolaki Coffee is derived from the Tolaki ethnic group, the largest indigenous community in Southeast Sulawesi Province. However, since its establishment in 2016, the Tolaki Coffee industry has not demonstrated significant development compared to other well-established Indonesian specialty coffees, such as Toraja Coffee in South Sulawesi and Aceh Coffee in Aceh Province. Nevertheless, the existence of the Tolaki Coffee industry is expected to generate economic benefits for local coffee farmers, particularly through improved farm-gate prices and income enhancement. This condition provides the rationale for conducting an analysis aimed at designing a development model for the Tolaki Coffee processing industry using a supply chain approach to increase industry stakeholders’ income while strengthening farmer empowerment. This study aims to: (1) identify the supply chain system of Tolaki Coffee, and (2) analyze the performance of the Tolaki Coffee supply chain in South Konawe Regency. The research was conducted in three stages. The first stage involved analyzing the supply chain structure using quantitative descriptive analysis, followed by an assessment of supply chain efficiency using the farmer’s share analysis. The results indicate that: (1) the Tolaki Coffee supply chain system in South Konawe Regency consists of two marketing channels, namely Farmer – Collector Trader – Anoa Coffee Industry – Retailer – Consumer and Farmer – Anoa Coffee Industry – Retailer – Consumer, with processed products in the form of ground coffee and ready-to-grind coffee beans; and (2) the most efficient supply chain performance is observed in the Farmer – Anoa Coffee Industry – Retailer – Consumer channel for ground coffee products