Abstract:This study highlights the problem of managing teak wood raw materials in the form of boards at UD Gemilang, Gunungsitoli City. The company often experiences shortages or excess inventory due to a conventional ordering system…
stem that is not based on optimal demand calculations. This inefficiency causes wasteful costs and disrupts the smooth production process. The main objective of this study is to analyze current inventory management and apply the EOQ (Economic Order Quantity) method to determine the optimal order quantity, as well as evaluate its impact on cost efficiency and production operations. The EOQ method is expected to be a systematic and rational solution for managing inventory more efficiently. This study uses a descriptive quantitative approach. Data were collected through direct interviews with business owners and documentation of raw material purchasing and usage reports for 2024. The analysis was conducted using the EOQ formula to calculate the optimal order quantity, ordering costs, storage costs, safety stock, reorder point, and total inventory cost (TIC). The analysis results show that the optimal order quantity for teak wood raw materials is 282 boards, with an ordering frequency of 6 times a year. This number is more efficient than the actual ordering system which is carried out monthly without a fixed calculation. The recommended safety stock is 22 boards, with a Reorder Point (ROP) of 36 boards. The implementation of the EOQ method successfully reduced total inventory costs from Rp6,768,000 to Rp3,496,800.
Abstract:This research is based on the imbalance between demand and supply that often occurs in the consumer goods market in Makassar, which causes price changes and market instability. This study is unique in a local context by…
emphasizing the real interaction between demand and supply as a factor that affects the market balance at the regional level. The purpose of this study is to investigate the impact of demand and supply on the balance of the consumer goods market in Makassar. This study adopts a quantitative approach by using primary data from 250 respondents, consisting of 200 consumers and 50 traders with questions using a five-point Likert scale. Data analysis is carried out with multiple linear regression using SPSS version 25, as well as involving validity testing, reliability and classic assumption testing. Research findings show that the demand and supply variables have a positive and significant effect on the market balance with an Adjusted R² of 0.285. Together, the two variables explain 28.5% variation in market balance. This result shows that the increase in demand and the availability of the supply of consumer goods are the key to maintaining price stability in the local market.
Abstract:The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.…
Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.
Abstract:Artificial intelligence is likely to have a significant impact on marketing strategies and customer behaviors in the years ahead. Research in this field has grown considerably, demonstrating AI's ability to simulate human…
n behavior and perform tasks intelligently. With growing interest among marketing researchers and practitioners, this research aims to provide an overview of the evolution of both marketing and AI research fields. This paper explores the emerging role of artificial intelligence in personalized engagement marketing, which focuses on creating, communicating, and delivering customized offerings to customers. Utilizing the Systematic Literature Review technique, we examined over 300 academic articles to uncover prevalent themes and gain a deeper understanding of current AI utilization in marketing. We then propose a plan for future research that examines potential changes in marketing strategies and customer behaviors while emphasizing critical policy considerations related to privacy, bias, and ethics. The implications for marketing managers are discussed along with predictions about how AI will impact branding and customer management practices going forward. Our research highlighted several benefits of integrating AI into marketing such as improved customer interactions, increased revenue, reduced expenses, and enhanced overall efficiency. However, this research also pointed out areas requiring further investigation including challenges posed by AI integration like shortage of skilled personnel and data privacy concerns.
Abstract:The growth of MSMEs is increasingly widespread, especially the 777 fruit sweet shop business which markets various kinds of fruit, both local and imported. In the current era, MSME players should be able to utilize digital…
al media to market their products so that consumers become more familiar with the products produced by these MSMEs. This research aims to determine the marketing strategy carried out by the 777 fruit sweet shop business to increase sales. This research is descriptive research using a qualitative approach. The informant was determined deliberately, namely the business owner of Sweet Fruit Shop 777. The data collection procedures used in the research included observation, interviews, and documentation. The data obtained was analyzed using SWOT analysis. Based on the research results, show that the strategy implemented by the 777 fruit sweet shop business in Gowa Regency, South Sulawesi Province is in quadrant one, namely Aggressive (growth-oriented strategy), which is a very profitable situation with implementation through Marketing Strategy. The coordinates of point x are the coordinates of the IFAS strategy with a coordinate point of 2.83, while the coordinates of point y are the coordinates of the EFAS strategy with a coordinate point of 2.07. The strategy that needs to be improved in fruit marketing is to make maximum use of digital marketing to reach a wider market.
Abstract:In order to increase the resilience of the supply chains in the United States, this paper examines the risks and vulnerabilities that exist in them and suggests policy goals. By employing both numerical data and empirical…
l proof, we pinpoint the primary obstacles endangering the steadiness and effectiveness of supply networks. These risks are exacerbated by elements like globalization, technological changes, and natural calamities. We examine different policy initiatives, such as international cooperation, investment plans, and regulations, and provide recommendations to reduce these vulnerabilities and strengthen the resilience of U.S. supply chains .
Abstract:This study aims to determine the effect of business location feasibility, social media advertising and product innovation partially and simultaneously on increasing sales of culinary MSMEs at Center Point of Indonesia (CPI)…
PI) Makassar City. This study employs quantitative research methodologies. The data collection techniques used were observation and interviews using questionnaires and documentation of activities. The population as well as the sample in this study were 50 culinary MSME business actors located at the Center Point of Indonesia (CPI). The employed data analysis techniques encompass multiple linear regression analysis, the F-test, the t-test, and the coefficient of determination. The results showed that business location feasibility, social media advertising and product innovation partially influenced the increase in sales of Culinary MSMEs at Center Point of Indonesia (CPI). Business location feasibility variables, social media advertising and product innovation simultaneously affect the increase in sales of Culinary MSMEs at Center Point of Indonesia (CPI)
Abstract:This study aims to determine the effect of using Google Earth media through the Contextual Teaching and Learning (CTL) model on the learning outcomes of social studies on natural phenomena material for fifth-grade students…
ts of SDN Telang 2 in the 2026/2027 academic year. The study used a quantitative approach with the Pre-Experimental Design method and One Group Pretest-Posttest Design. The research subjects were 17 students. Data collection techniques were carried out through tests, observations, and documentation. The research instrument was a multiple-choice test given before and after treatment. Data were analyzed using descriptive statistics and paired sample t-test. The results showed that the average pretest score of 68.82 increased to 79.41 in the posttest, with an increase of 10.59 points. The results of the paired sample t-test showed a significance value (2-tailed) of 0.000 <0.05, so H₀ was rejected and H₁ was accepted. These findings indicate that the use of Google Earth media through the CTL model has a significant effect on the learning outcomes of social studies on natural phenomena material. The integration of Google Earth and CTL provides a more contextual, interactive, and meaningful learning experience, helping students understand the concept of natural features more concretely. Therefore, Google Earth, through the CTL model, can be used as an alternative media and effective learning model to improve social studies learning outcomes in elementary schools.
Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan media Google Earth melalui model Contextual Teaching and Learning (CTL) terhadap hasil belajar IPS materi kenampakan alam pada siswa kelas V SDN Telang 2 Tahun Pelajaran 2026/2027. Penelitian menggunakan pendekatan kuantitatif dengan metode Pre-Experimental Design dan desain One Group Pretest-Posttest Design. Subjek penelitian berjumlah 17 siswa. Teknik pengumpulan data dilakukan melalui tes, observasi, dan dokumentasi. Instrumen penelitian berupa tes pilihan ganda yang diberikan sebelum dan sesudah perlakuan. Data dianalisis menggunakan statistik deskriptif dan uji paired sample t-test. Hasil penelitian menunjukkan bahwa nilai rata-rata pretest sebesar 68,82 meningkat menjadi 79,41 pada posttest, dengan peningkatan sebesar 10,59 poin. Hasil uji paired sample t-test menunjukkan nilai signifikansi (2-tailed) sebesar 0,000 < 0,05, sehingga H₀ ditolak dan H₁ diterima. Temuan ini menunjukkan bahwa penggunaan media Google Earth melalui model CTL berpengaruh signifikan terhadap hasil belajar IPS materi kenampakan alam. Integrasi Google Earth dan CTL mampu memberikan pengalaman belajar yang lebih kontekstual, interaktif, dan bermakna sehingga membantu siswa memahami konsep kenampakan alam secara lebih konkret. Oleh karena itu, Google Earth melalui model CTL dapat dijadikan alternatif media dan model pembelajaran yang efektif untuk meningkatkan hasil belajar IPS di sekolah dasar.
Abstract:Penelitian ini bertujuan untuk mengetahui motivasi belajar siswa dalam menggunakan Lembar Kerja Peserta Didik (LKPD) berbasis etnomatematika Melayu Riau yang terintegrasi dengan unsur coding pada materi bentuk geometri di…
i kelas II SD Negeri 192 Pekanbaru. Permasalahan pembelajaran geometri pada jenjang sekolah dasar umumnya berkaitan dengan sifat materi yang abstrak dan kurangnya media pembelajaran kontekstual yang dekat dengan kehidupan siswa. Penerapan etnomatematika melalui konteks makanan tradisional Melayu, seperti kue talam, kue lupis, kue lapis, dan lemang, diharapkan mampu membantu siswa memahami bentuk geometri secara konkret sekaligus meningkatkan motivasi belajar. Penelitian ini menggunakan metode deskriptif kuantitatif dengan sampel sebanyak 10 siswa. Instrumen penelitian berupa angket motivasi belajar menggunakan skala Likert 4 poin. Hasil analisis menunjukkan bahwa motivasi belajar siswa terhadap penggunaan LKPD berbasis etnomatematika berada pada kategori sangat tinggi dengan rata-rata persentase 96,5%. Aspek minat dan ketertarikan memperoleh persentase 96%, semangat dan ketekunan 96%, motivasi intrinsik dan kepuasan diri 99%, serta pengaruh media dan teknologi sebesar 95%. Temuan ini menunjukkan bahwa LKPD berbasis etnomatematika Melayu Riau dengan integrasi coding mampu meningkatkan motivasi belajar siswa secara signifikan, menjadikan pembelajaran geometri lebih menarik, bermakna, dan kontekstual. Media ini juga berpotensi memperkuat identitas budaya lokal sekaligus mengenalkan unsur teknologi secara sederhana dalam pembelajaran matematika di sekolah dasar.
Abstract:Penelitian ini bertujuan untuk mengetahui ada tidaknya hubungan antara interaksi sosial dan motivasi belajar siswa sekolah dasar. Latar belakang penelitian ini didasarkan pada gejala rendahnya motivasi belajar siswa yang…
diduga berkaitan dengan kurang optimalnya kualitas interaksi sosial di lingkungan sekolah. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis korelasional. Sampel berjumlah 36 siswa kelas V SDN Palem 2 Ngawi yang diambil secara total sampling. Instrumen pengumpulan data berupa angket skala Likert 4 poin sebanyak 10 item untuk masing-masing variabel. Data dianalisis menggunakan statistik deskriptif dan uji korelasi Pearson, dengan syarat uji normalitas dan linearitas terlebih dahulu dipenuhi. Hasil analisis menunjukkan adanya hubungan yang sangat kuat dan signifikan antara interaksi sosial dan motivasi belajar siswa dengan nilai r = 0,856, p = 0,000, dan r² = 0,733. Artinya, interaksi sosial memberikan kontribusi sebesar 73,3% terhadap variasi motivasi belajar siswa. Temuan ini menegaskan bahwa interaksi sosial berperan penting dalam membentuk semangat dan keterlibatan belajar siswa sekolah dasar.