Employee performance is a crucial factor that directly contributes to the achievement of company goals, but the evaluation process is often complex. This study aims to examine and evaluate the influence of work motivation, leadership, and work discipline on improving employee performance. The study used a descriptive quantitative method through a survey by distributing questionnaires to 87 employees of PT. Gama Tobako Karanganhyar. The data obtained were analyzed using multiple linear regression tests with the help of SPSS software version 29.1. The results of the analysis showed that the variables of work motivation, leadership, and work discipline had a significant effect on increasing employee performance productivity. Partially, work motivation is a dominant factor in driving productivity, with a regression coefficient value of 0.859, t-count of 5.544, and a significance level of 0.000. These findings indicate that the higher the motivation, both intrinsic and extrinsic, the greater the contribution to improving work quality, productivity, and employee commitment to the company.

This study aims to analyze the effect of population on poverty with per capita income as a mediating variable in Aceh Province, a special autonomy region that still faces structural poverty challenges post-conflict and natural disasters. Using a quantitative approach with panel data from the Central Statistics Agency (BPS), Bank Indonesia, and the Financial Services Authority (OJK), this study analyzes the relationship between population growth, per capita income, and poverty percentage through path analysis with the Sobel test. The results show that population growth has a negative and significant effect on per capita income, as well as a positive impact on increasing poverty. Meanwhile, per capita income is shown to have a negative and significant effect on poverty, indicating that an increase in income can reduce the poverty rate. Mediation analysis reveals that per capita income acts as a significant intervening variable, proving that population growth not only affects poverty directly, but also indirectly through a decrease in per capita income. These findings highlight the importance of policies that control population growth while promoting economic growth based on income generation to reduce poverty in Aceh. The policy implications of this study emphasize the need for integrated development programs, improved access to education and health, and strengthening productive sectors to strengthen the economic resilience of the community.

The study focuses on addressing fatigue among healthcare workers in Emergency Room (ER), vital in delivering health services but prone to worker fatigue. Using objective measures like cardiovascular load (%CVL) and Bourdon Wiersma test, it evaluates physical and mental fatigue. Leveraging the System Engineering Initiative for Patient Safety 2.0 (SEIPS 2.0) model, it comprehensively analyzes factors affecting fatigue. Data collection includes surveys and statistical analysis through Structural Equation Modeling-Partial Least Squares (SEM-PLS). Results show all workers experience fatigue, with physical fatigue affected by age and gender, and mental fatigue influenced by workload. The outer model analysis confirms convergent and discriminant validity, and reliability of the constructs. The inner model analysis reveals the work system significantly affects fatigue, while the process does not. The study emphasizes the importance of addressing fatigue to improve worker well-being and enhance patient care in ER, providing actionable insights for healthcare organizations.

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

Penelitian ini bertujuan untuk merancang serta mengembangkan sistem informasi akuntansi berbasis web yang digunakan untuk menghitung harga pokok penjualan (HPP) dengan pendekatan metode pesanan di PT. Jinlin Luggage Indonesia. Karena perusahaan ini menjalankan produksi berdasarkan permintaan khusus dari pelanggan, maka metode job order costing dipilih sebagai pendekatan paling relevan dalam menghitung biaya per unit.
Sistem yang dikembangkan dirancang agar mampu mencatat biaya produksi secara sistematis, tepat, dan dilakukan secara real-time. Dengan penerapan sistem ini, perusahaan dapat menghindari proses penghitungan manual yang memakan waktu dan rawan kesalahan.
Penelitian ini menggunakan pendekatan Research and Development (R&D), yang mencakup beberapa tahapan mulai dari identifikasi masalah, pengumpulan data, desain sistem, validasi, hingga pengujian. Setiap tahapan dirancang secara menyeluruh agar hasil sistem sesuai dengan kebutuhan operasional perusahaan.
Hasil implementasi menunjukkan adanya peningkatan efektivitas dan akurasi dalam pelaporan HPP, serta mendukung proses pengambilan keputusan manajerial yang berbasis data secara lebih cepat dan tepat. Selain itu, sistem ini juga meminimalkan kesalahan input secara manual dan mempercepat pembuatan laporan biaya produksi. Fitur penyimpanan data historis biaya produksi dalam sistem juga dapat dimanfaatkan untuk analisis biaya dan perencanaan anggaran jangka panjang

Banyaknya lereng pada pembangunan IPAL 1 KIPP IKN menyebabkan adanya potensi longsoran yang membahayakan lingkungan disekitarnya. Faktor yang sering mengakibatkan kelongsoran yaitu pengaruh geometri dan penyusun material tanah lereng tersebut. Tujuan dari penelitian ini adalah menganalisis stabil atau tidaknya suatu lereng yang ditunjukan dalam bentuk nilai Faktor Keamanan. Penelitian menggunakan dua metode, yaitu metode Bishop Simplified dan metode elemen hingga. Data yang digunakan pada penelitian ini yaitu geometri lereng pada jalan akses lingkar kanan IPAL 1 KIPP IKN dari Sta 0+340 s/d Sta 0+380 dan data penyelidikan tanah dari PT. YODYA selaku konsultan perencananya dengan tinggi lereng 25 m, lebar 20,6 m, nilai kohesi tanah (c) = , berat volume tanah , dan sudut geser tanah . Penelitian ini didapatkan hasil Faktor Keamanan dengan metode Bishop Simplified sebesar 1,7 dan metode elemen hingga sebesar 1,7. Berdasarkan nilai Faktor Keamanan yang disarankan SNI-8460 yaitu 1,5 berarti lereng tersebut aman karena nilai Faktor Keamanan lerengnya lebih besar dari yang disarankan.

Kampung 4 Village has great potential in developing home-based culinary businesses as a strategy to increase family economic independence. One promising business opportunity is Tuna Balado Rice Bowl, a practical food product that combines tuna as the main ingredient with the distinctive flavor of balado. This product has broad market prospects because it is easy to produce, has high nutritional value, and is in line with the trend of fast food that is in demand by various groups. In addition, this business can be run with relatively affordable capital and has broad marketing potential through digital strategies such as social media and delivery services. Seeing these opportunities, the Tuna Balado Rice Bowl business can be an alternative home-based business that is competitive, able to increase family income, and contribute to strengthening the local economy in a sustainable manner.

The increasing integration of Artificial Intelligence (AI) in e-commerce has transformed digital marketing strategies, particularly through personalized recommendation systems. However, this advancement has raised ethical concerns regarding data privacy, algorithmic transparency, and consumer autonomy. In Southeast Asia, where digital platforms rapidly expand, these concerns become more complex due to diverse regulatory landscapes and user expectations. This study aims to analyze and compare the transparency of AI-based recommendation systems across three major e-commerce platforms in the region: Shopee, Lazada, and Tokopedia. A qualitative comparative approach was employed using content analysis of official policy documents, including privacy policies and AI guidelines, sourced from each platform between January and March 2024. The analysis utilized LLM-assisted text mining and thematic coding to identify ethical indicators such as algorithmic transparency, user control, and policy readability. The results reveal significant variation in ethical practices: Shopee scored the highest in all dimensions, including algorithmic transparency (score: 9/10), user control (8/10), and policy readability (9/10). Lazada ranked moderately with scores of 6/10, 4/10, and 6/10 respectively, while Tokopedia scored lowest with 3/10 for transparency, 0/10 for user control, and 4/10 for readability. These disparities indicate that ethical communication and user empowerment remain uneven across platforms. This study contributes to the discourse on digital ethics by highlighting the need for regional standards in AI transparency and promoting user-centric ethical design. The findings provide valuable insights for policymakers, platform designers, and digital consumers navigating trust in algorithm-driven environments.

This article discusses the implementation of negotiation strategies and lobbying techniques as participatory communication approaches in the context of community service in Parigi Village, Cikande Sub-district, Serang City. Through intensive community organizing, this activity aims to strengthen the capacity of residents in facing the challenges of cross-interest communication and collaboration, especially in terms of policy advocacy and local resource management. The service subjects consisted of local community groups who had been less involved in the decision-making process at the village level. The service process is carried out through several stages, starting from joint problem mapping, training in negotiation and lobbying techniques, to the preparation of collaborative action plans that involve active participation of residents. The findings from this activity show that interest-based negotiation and ethical lobbying can strengthen the community's bargaining position towards external actors such as the government and local stakeholders. The dynamics of the activity also resulted in initial social changes, such as the formation of an internal advocacy group, increased participation in public forums, and the emergence of collective awareness of the importance of strategic communication.

Risk management in the pindang fish business is very important to maintain business stability and increase consumer confidence. This study aims to analyze the application of risk management in the distribution of pindang fish in Bondowoso Regency based on the perspective of Islamic business ethics. Using a descriptive qualitative approach with a case study method, this research collected data through in-depth interviews, direct observation, and documentation. The analysis technique used is the Miles and Huberman interactive model which includes data reduction, data presentation, and conclusion drawing.The results show that the application of Islamic business ethics principles such as honesty (shiddiq), responsibility (amanah), and justice ('adl) in risk management can improve distribution transparency. Traders who apply the principle of trustworthiness are better able to maintain product quality and fair prices, thereby increasing consumer satisfaction. In addition, the Islamic business ethics approach helps prevent the practice of quality manipulation and price discrepancies, which are often challenges in pindang fish distribution.The conclusion of this study confirms that the integration of Islamic values in distribution risk management not only improves business sustainability but also strengthens long-term relationships with consumers. The study recommends the implementation of stricter sharia-based distribution policies as well as the utilization of technology in the distribution system to improve efficiency and transparency