This study discusses the urgency of green marketing strategies and practices due to changes in consumer behavior trends. Currently, environmental sustainability issues are a major concern for society, not interacting in their product and service consumption activities. This study was conducted using a qualitative method, namely a literature review. Of the 15 article titles described, most of them show that the implementation of environmentally friendly marketing strategies brings positive benefits to businesses. Specifically, what is studied in this study is its influence on environmentally friendly purchasing decisions, customer loyalty and brand image enhancement. These findings can be practical recommendations for business actors and marketing practitioners to develop various environmentally friendly product and service innovations and carry out innovative green marketing practices in the future. So that they are able to gain benefits in the form of increased sales, customer loyalty and positive brand image as well as contributions to environmental sustainability or desires.

Pain is the body's response to tissue damage that is often addressed using analgesic compounds. Purslane plants (Portulaca oleracea L) are known to contain flavonoids, saponins, tannins, and alkaloids that have potential as analgesics. This study aims to test the analgesic effectiveness of purslane ethanol extract by writhing test method using white mice (Mus musculus) induced by 1% acetic acid. A total of 15 mice were divided into 5 treatment groups, namely negative control, positive control (paracetamol), and three groups with doses of purslane extract 200 mg/kgBB, 400 mg/kgBB, and 800 mg/kgBB. The number of writhes was observed every 15 minutes for 1 hour, and the percentage of protective power was calculated. The results showed that the dose of 800 mg/kgBB gave the highest analgesic effect with a percent protection power of 65.28%, followed by doses of 400 mg/kgBB (52.4%) and 200 mg/kgBB (30.6%). The highest analgesic effect was achieved at a dose of 800 mg/kgBB, almost equivalent to the positive control. This shows the significant potential of purslane ethanol extract as an analgesic agent.

UMKM merupakan kegiatan usaha yang mampu memperluas dan memberikan peluang bagi masyarakat untuk pemerataan dan peningkatan pendapatan, mendorong pertumbuhan ekonomi, yang berperan dalam mewujudkan stabilatas nasional. Peran serta pemerintah daerah melalui Dinas Koperasi, Usaha Kecil, Menengah dan Perdagangan (DKUKMP) Kota Bontang dalam pemberdayaan diharapkan dapat memperluas lapangan kerja, meningkatkan pendapatan masyarakat serta bisa lebih banyak menyerap tenaga kerja. UMKM diharapkan semakin berperan dalam menekan angka pengangguran. Tujuan penelitian ini untuk mengetahui implementasi pemberdayaan UMKM dalam rangka peningkatan perekonomian di Kota Bontang. Peneliti menggunakan metode pendekatan kualitatif deskriptif. Hasil penelitian menunjukkan bahwa pemerintah Kota Bontang melalui DKUKMP telah memberikan dukungan dalam program pemberdayaan UMKM dan terjadi peningkatan dari tahun 2019 sampai dengan tahun 2023.

This research aims to identify flexible and dynamic business strategies in adapting to market changes. The research method used is qualitative descriptive with a literature study approach to understand ideas and theories relevant to the research topic. The analysis employed is descriptive analysis, which analyzes the data by describing or presenting the information without attempting to draw broad conclusion or generalization. Furthermore, Flexible and dynamic competitive strategies allow companies to not only adapt to market changes, but also take advantage of these changes to increase intelligence and business efficiency. These constraints include changes in the market, which are often accelerating, and companies respond slowly to market changes, thereby reducing adaptation and competition. A flexible and dynamic competitive strategy in changing markets would demonstrate that companies were able to successfully adapt to market changes, increase their capacity and achieve business success. This research is expected to help society, especially businesses, to determine flexible and dynamic strategies to adapt to changes in a market

One of the CPU scheduling methods that is frequently used to reduce waiting time and average execution time is Shortest Job First (SJF). However, this algorithm's accuracy is largelbravy dependent on how well the job execution time is predicted. The purpose of this study is to enhance work execution time estimates by optimizing the SJF algorithm through the use of the Random Forest Regression model. The model in this study is trained using historical job data. The test results demonstrate how Random Forest Regression may be included into SJF to greatly increase system efficiency, especially in terms of throughput and waiting time reduction.

In the digital age, efficient sales transaction management is crucial for business success. Point of Sale (POS) systems, such as Wingpos, are a solution for transaction recording, inventory management, sales reporting, and data analysis. However, software errors can disrupt operations and compromise security aspects. This research aims to assess the functionality and quality of the Wingpos website by using the Black Box Testing method, which tests software by comparing actual outputs to expected results based on given inputs. The Equivalence Partitioning technique was applied to focus on testing functional aspects of the login and register features. Through this testing, technical insights into the quality of the Wingpos software were gained, as well as a systematic approach to web-based application testing. The results of the study are expected to improve user experience and serve as a reference in the development of similar systems in the future.

The study aims to find a structural fit model related to students’ readiness to face the digital economy in the perspective of irrational behavioral economic theory. The study uses quantitative Explanatory research with a population of undergraduate students of Economics Education at the East Java PGRI College and uses a proportional random sampling with total of 351 students. Data were collected by questionnaires using linkert scale and were analysed by SEM-PLS data analysis . The findings show that digital economic skills don’t significantly mediate the relationship between herd behavior, loss aversion, and student readiness. However, the digital economy succeeded in mediating the influence of confirmation bias on student readiness because of helped reduce the impact of confirmation bias on student readiness by offering access to diverse information and developing critical thinking skills. This study contributes are become theoretical literature on the functional relationship between irrational behavior, digital economic skills, social support and student readiness studied in the context of behavioral economics. It can be a reference for developing educational models in digital era learning and reference for further researchers to develop appropriate policy recommendations by involving several related stakeholders.

The Batch 3 Entrepreneurship Workshop aims to improve participants' entrepreneurial competencies, especially in mastering B2B negotiation skills and affiliate marketing. This workshop was held on November 30, 2024 at STIE Ganesha by the implementation team from LPPM and Ganesha LabPreneur. The method of activity with a PAR approach that includes interactive material delivery, hands-on simulations, and participatory discussions. There were 150 participants from MSME players and students who brought gadget devices. The results of the activity showed an increase in participants' understanding of the material taught, with most participants able to practice negotiation techniques and digital marketing strategies. The implication of this activity is to encourage the development of resilient entrepreneurs who are adaptive to digital market changes and strategic business collaboration. This activity provides a practical reference for future entrepreneurship training.

Energi listrik merupakan salah satu energi yang banyak dimanfaatkan dalam menjalankan segala aktivitas manusia. Konsumsi energi listrik yang tidak terkendali dapat menjadi potensi pemborosan yang dapat merugikan dari segi ekonomi dan lingkungan. Berdasarkan permasalahan tersebut, dirancang suatu sistem pemantau konsumsi energi listrik berbasis Internet of Things (IoT) untuk memantau konsumsi energi listrik. Sistem ini tersusun dari sensor arus, energy meter iEM3255, Mikrokontroller ESP32, perangkat LoRa, dan suplai daya. Komponen – komponen tersebut diintegrasikan menggunakan komunikasi ModBus dan hasil pengukuran dapat dilihat melalui aplikasi smartphone yang dibuat menggunakan platform Kodular. Berdasarkan hasil implementasi dan pengukuran arus, tegangan, dan daya diperoleh nilai error sebesar 3,84%. Berdasarkan hasil tersebut dapat disimpulkan perangkat Energy Meter iEM3255 dapat diintegrasikan dengan sistem pemantau konsumsi energi listrik berbasis IoT dengan menyesuaikan kapasitas beban yang terpasang.
 
Kata kunci: Sistem Pemantau Energi Listrik, Energy Meter, Komunikasi ModBus, IoT.

Game edukasi memiliki berbagai fitur yang dapat meningkatkan proses pembelajaran, namun banyaknya fitur ini harus `disesuaikan dengan kebutuhan pengguna untuk meningkatkan efektivitas pembelajaran. Penelitian ini menganalisis fitur dalam game edukasi berdasarkan kebutuhan pengguna menggunakan model Kano. Peneliti mencari bagaimana Model Kano dapat diterapkan untuk mengklasifikasikan fitur permainan edukasi berdasarkan preferensi pengguna, dan bagaimana hasil analisis Kano dapat membantu pengembang dalam mengarahkan pengembangan fitur untuk meningkatkan kepuasan pengguna. Metode penelitian ini melibatkan analisis literatur terkait, survei kebutuhan pengguna, dan penerapan Model Kano untuk mengklasifikasikan fitur permainan edukasi. Peneliti membandingkan kebutuhan fitur game oleh guru dan mahasiswa. Hasil penelitian menunjukkan bahwa terdapat perbedaan fitur yang signifikan antara guru dan mahasiswa, hal ini dapat dilihat dari klasifikasi yang dihasilkan oleh Model Kano.
 
Kata Kunci: Klasifikasi, Model Kano, Identifikasi