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This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.

Digitalization has been a key catalyst for change in the global business landscape, driving the transformation of companies' strategies, organizational structures, and operational models. For small and medium enterprises (SMEs), digital technology opens up great opportunities to expand market reach and compete in the international arena more effectively. Technologies such as e-commerce, social media, big data analytics, and cloud-based platforms enable SMEs to break through geographical boundaries, facilitate access to global customers, and accelerate product distribution and marketing processes. This paper explores the current academic literature that discusses the influence of digital technology on the internationalization of SMEs. A total of five relevant studies were analyzed to identify common patterns, challenges, and successful strategies in the use of digital technology. The results of the study show that the adoption of digitalization not only improves operational cost efficiency, but also encourages business model innovation, such as digital platform-based marketing, cross-border virtual collaboration, and the development of a more adaptive global business ecosystem. In addition, the ability to utilize digital technology gives SMEs a competitive advantage through access to real-time market information, personalization of offers, and more targeted branding strategies. However, the research also found obstacles, such as limited human resources, technological infrastructure, and digital literacy among SMEs. Therefore, synergy is needed between business actors, the government, and academia to support the acceleration of digital technology adoption through training, mentoring, and policies that support innovation. The paper also highlights future research opportunities, such as the integration of artificial intelligence (AI) technologies, automation, and blockchain in supporting the global expansion of SMEs. These findings are expected to be a strategic reference in designing sustainable internationalization policies in the digital era.

Every air traveler needs to understand the importance of dangerous goods. By understanding the nature and risks of these items, precautions can be taken to prevent accidents and ensure safe travel for all. In practice, numerous passengers have experienced delays at security checkpoints due to carrying prohibited or restricted items such as lighters, sharp tools like scissors, aerosols, and high-capacity power banks. These incidents not only disrupt airport operations but also highlight gaps in public awareness regarding aviation safety regulations.This study aims to examine the influence of knowledge about dangerous goods on flight safety, with a focus on passengers traveling through El-Tari Airport in Kupang, East Nusa Tenggara. A quantitative research method was employed by distributing 100 structured questionnaires to respondents using purposive sampling, targeting passengers with prior flight experience. Data analysis techniques included simple linear regression, T-tests, and the coefficient of determination (R²) to assess the relationship between knowledge levels and safety behavior. The findings show that knowledge about dangerous goods (variable X) significantly influences passenger safety behavior (variable Y), evidenced by a p-value of 0.000. This indicates a strong and positive correlation, where better knowledge leads to more responsible behavior during air travel. The R-square value of 0.530 suggests that 53% of variations in safety behavior can be explained by knowledge, while the remaining 47% may be influenced by other factors such as attitudes, past experiences, signage visibility, and staff communication.These findings underscore the urgent need for intensified public education efforts at airports through visual campaigns, digital information, and pre-flight reminders. Improving passenger knowledge about dangerous goods can significantly enhance overall flight safety and reduce the risk of delays or violations. Future research could explore the role of demographic factors or the effectiveness of current educational strategies.

This study aims to examine one of the disciplines of Islamic law, namely the pricing mechanism from the perspective of Imam Al-Ghazali, in order to create a healthy market environment free from monopolistic practices and manipulation, and aligned with Sharia principles. This research employs a descriptive qualitative approach using a literature study method by reviewing various relevant books, classical texts, articles, and academic journals related to Islamic economics and Imam Al-Ghazali’s thought. The findings indicate that the concept of fair pricing is not solely dependent on the interaction between supply and demand, but must also consider moral and social dimensions, such as justice, honesty, and public welfare. Imam Al-Ghazali strongly emphasized that economic transactions should uphold ethical standards and social responsibility to prevent exploitation and inequality. He argued that pricing must reflect not only market dynamics but also the broader ethical framework rooted in Islamic values. Furthermore, the study explores the concept of economic equilibrium in relation to pricing mechanisms, where prices should ideally balance individual interests with communal welfare. The research also discusses the correlation between economic balance and price-setting policies, including the views of other classical and contemporary Islamic scholars. It is found that state intervention is permissible in certain conditions—particularly when market mechanisms fail to ensure fairness—thus justifying government roles in market supervision and price stabilization. One of the key concepts in Islamic economics is the notion of a just price (al-thaman al-‘adl), as emphasized by Imam Al-Ghazali.. This study concludes that understanding pricing from Al-Ghazali’s perspective offers valuable insights for building ethical and socially responsible economic systems aligned with Islamic teachings.

Livestock cultivation aims to meet the needs of animal food and improve the standard of living of farmers. Some of the factors that need to be considered in livestock cultivation include the selection of superior seeds, feed management, disease prevention and treatment, cages that meet standards, and marketing of livestock products. Livestock is one of the five agricultural subsectors where livestock is a cultivation or maintenance activity with the aim of benefiting from these activities. This study uses a type of quantitative research. The variables studied consisted of intensive maintenance costs and broiler profits. The population used in this study is all breeders in Nagan Raya Regency, each farm has different abilities and number of livestock. Therefore, the population used is all farmers with an intensive maintenance system in 5 sub-districts of Nagan Raya Regency, namely 12 chicken farmers. Because of the small number of populations, the sample in this study is the entire population. The data sources in this study consist of primary data and secondary data. In this study, quantitative analysis uses  the Statistical Product and Service Solution (SPSS) version 26 computer program, because with this program analysis can be carried out quickly, and produce more accurate outputs. And the data analysis model used in this study is a simple linear regression method. The results of this study are that intensive maintenance costs incurred by broiler farmers have a very good influence on increasing profits from farmers' crops. Because with an intensive system the growth of chickens is more uniform and the deaths that occur in broilers can be avoided.

The Rice Bowl (Nasi Mangkok) culinary business in Indonesia has experienced rapid growth after the COVID-19 pandemic and has become a key part of the modern food industry, meeting consumer demand for convenience and taste. Since 2020, rice bowl sales have continued to rise annually, driven by shifting consumption habits toward food delivery services like GoFood and GrabFood. Despite this trend, academic studies on the rice bowl business remain limited. Classified as convenience food, rice bowl consumption has increased by over 10% from 2019 to the projected figures in 2025. Sales volume has risen from 1.5 billion portions in 2020 to over 3 billion in 2025, with an annual growth rate of 10–15% and estimated revenues between IDR 15–20 trillion per year. With rising demand, many rice bowl brands have entered the market. However, consumers often struggle to decide which brand to choose, as purchasing decisions are influenced by multiple factors. This study analyzes consumer behavior influencing rice bowl purchasing decisions, focusing on cultural, social, psychological, and personal factors, with a case study in Sidoarjo Regency, East Java. Using an explanatory research design, the study surveyed 161 consumers across four sales locations.The F-test results show that all four variables simultaneously have a significant positive effect on purchasing decisions (at the 99% confidence level). However, the t-test results reveal that the cultural factor (X1) negatively influences purchasing decisions, while social, psychological, and personal factors have a positive impact. Among these, the psychological factor (X3) is the most dominant, highlighting the importance of consumer motivation and perception in shaping buying behavior. Enhancing this factor can support the sustainable growth of rice bowl businesses in Sidoarjo.

The phenomenon of online gambling has become a serious problem in various regions, including West Aceh Regency. data on cases handled by the West Aceh District Syar'iyah Court in the period 2021 to 2024 shows a significant increase in cases. Online gambling as part of jarimah maisir has different characteristics from conventional forms of gambling, namely digital, hidden, cross-regional, and difficult to detect by the naked eye by law enforcement officials and the general public. The problems in this study are How is the application of qanun jinayat law against online gambling offenders in the jurisdiction of the West Aceh District Syar'iyah Court, What are the obstacles faced in applying the law to online gambling offenders based on qanun jinayat law, and What are the efforts to prevent online gambling violations in the West Aceh area. This research uses empirical legal methods with a field research approach and case studies. The results showed that the application of Aceh Qanun Number 6 of 2014 concerning Jinayat Law against online gambling offenders was in accordance with the procedures of jinayat law, but its implementation was still not optimal. The Syar'iyah Court has handled a number of cases, but the number is not proportional to the potential violations. The main obstacles include limited regional authority in blocking sites, lack of digital forensic experts, absence of district-level cyber units, and weak coordination between agencies. Prevention is carried out through digital education by DISKOMINSA, thematic dakwah by the Islamic Sharia Office, as well as the Gampong Tolak Judi Online programme involving the community and the formation of the Gampong Pageu Task Force.

Empowerment is the process of increasing the capacity and independence of individuals and groups so they can develop optimally. Empowerment of UMKM is important because of their strategic role in supporting national economic growth. However, UMKM still face various problems such as legality, capital, marketing, and managerial skills. To support this effort, PLUT was established at the initiative of the Batam City Government to encourage UMKM to move up a class. PLUT Batam City plays an important role through strategic services such as consulting, business mentoring, legal facilitation, training, product and packaging development, as well as promotion and marketing. This study uses a qualitative method with interview, observation, and documentation techniques. The theory used is the Van Meter and Van Horn implementation model which includes six variables: policy objectives, resources, communication, implementer characteristics, socio-economic conditions, and implementer attitudes. This study aims to analyze the implementation of the PLUT program in empowering UMKM in Batam City.

Distribution is the process of moving, managing, and storing goods from suppliers to customers in the supply chain. This process includes not only the delivery of raw materials from suppliers to manufacturers, but also the distribution of finished products to the end consumer. Distribution plays an important role in a company's profitability because it affects operational costs, delivery efficiency, and perceived value by customers. Successful well-managed distribution will increase customer satisfaction and strengthen the company's competitiveness in the market. PT. XYZ is one of the LPG distributors that provides 3 kg cylinders. This company serves a variety of consumers, ranging from households, small businesses, to retailers, with a coverage of distribution areas in Serang City. The distribution process is carried out based on sales orders and needs in 14 bases, where each base has a different level of demand according to consumer needs. However, PT. XYZ faces obstacles in achieving the optimal level of service, where the average service level only reaches 97.40%. An imbalance between inventory and demand at the base often leads to an oversupply or understock, resulting in backorders on some demands. This condition has a negative impact on customer satisfaction and overall distribution effectiveness. To overcome this problem, PT. XYZ developed a distribution dashboard by applying the Distribution Requirements Planning (DRP) method. Through this approach, distribution planning becomes more systematic, base needs can be met appropriately, and stocks can be managed more effectively. This dashboard also supports delivery scheduling and more coordinated marketing activities. The results of the implementation of the DRP dashboard in 2023 show a significant increase with a service level that has successfully reached 99%, minimizing backorders, and increasing customer trust and satisfaction.

This study investigates the potential role of the Jakarta Islamic Index (JII) as a hedging instrument and safe haven asset against the Indonesia Composite Index (IHSG) during the period from January 2020 to April 2025, a time characterized by elevated market volatility. The main objective is to determine whether sharia-compliant stocks in Indonesia offer diversification benefits during periods of financial stress. Utilizing daily closing prices converted into log returns, the study employs the Asymmetric Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity (A-DCC GARCH) model to capture time-varying correlations between JII and IHSG. Prior to applying the model, standard diagnostic tests were performed to ensure data quality, including tests for stationarity, autocorrelation, and ARCH effects.Empirical results reveal a persistently high correlation between IHSG and JII, with an average of 0.826 and values exceeding 0.95 during periods of market turbulence. These findings indicate that JII does not fulfill the characteristics of a hedge or safe haven asset. A robustness analysis using extended data from 2010 to mid-2025 further supports the conclusion, showing the continued presence of strong comovement between the two indices across different market regimes. This suggests a structural relationship rather than one driven solely by crisis events. The high correlation may be attributed to overlapping index constituents and similar investor responses to market shocks. These results challenge the prevailing notion that Islamic indices inherently offer protection during downturns. As such, investors seeking to mitigate portfolio risk may need to look beyond domestic sharia equities and consider broader asset classes or international diversification. Future research is encouraged to explore cross-market and multi-asset safe haven properties, especially in the context of emerging economies.

The design of Lecturer Housing for Campus 4 Gorontalo State University is a strategic necessity in line with the expansion of educational institutions and the increasing number of educators requiring adequate and proximate housing. The primary objective of this research is to produce a lecturer housing design that is not only adaptive and sustainable, but also harmonized with the Regional Spatial Plan (RTRW) of Bone Bolango Regency. The research methodology encompasses a comprehensive site analysis, examining aspects such as climate conditions, topography, vegetation patterns, infrastructure and utility networks, ambient noise levels, and site accessibility. Furthermore, a zoning and spatial relationship study was conducted to determine effective space allocation based on the principles of tropical architecture and green building practices. The findings of the study highlight that a north-south building orientation significantly reduces heat absorption, while the integration of cross-ventilation strategies enhances natural airflow and thermal comfort. Spatial zoning into public, semi-public, private, and service areas allows for organized layouts and promotes social interaction among residents. Sustainability is reinforced through the application of green architectural technologies, including the use of green concrete, lightweight steel frameworks, solar energy panels, as well as integrated waste-water management systems that separate black water and grey water. Landscaping elements, both softscape and hardscape, are utilized to enhance aesthetics while supporting ecological balance and rainwater absorption. This design proposal contributes to the broader discourse of sustainable tropical housing and may serve as a replicable model for future lecturer housing projects in similar regional contexts. It emphasizes the importance of environmentally responsive, cost-efficient, and socially supportive residential architecture.

Gorontalo Province is an area with a high level of disaster vulnerability, both from hydrometeorological disasters such as floods and landslides, as well as geological disasters such as earthquakes. This condition requires an integrated, modern, and sustainable disaster training facility. Unfortunately, until now Gorontalo does not have a representative disaster management education and training center to support community preparedness. This research aims to design a Disaster Management Education and Training Center that not only functions as an education and simulation place, but also integrates green architecture principles to create an environmentally friendly and energy-efficient learning environment. The method used is qualitative descriptive with primary data collection through observation, interviews with stakeholders, and field documentation. Secondary data were obtained from literature studies, disaster architectural precedents, and spatial planning regulatory studies. The design site was chosen in Limboto District with considerations of accessibility, development potential, and geographical conditions. Analysis is carried out on spatial, functional, and climatological aspects to produce an optimal zoning concept and the orientation of building masses according to the tropical climate. The design results show that an area of 19,371 m² can accommodate all space needs with the utilization of KDB of 25.4%. The application of green architecture is realized through the use of environmentally friendly local materials, natural lighting, cross ventilation, solar panels, and rainwater management systems. The simulation facilities for floods, landslides, earthquakes, and fires are designed based on experiential learning so that participants can experience disaster scenarios firsthand. This design is expected to be a model of sustainable tropical disaster architecture, replicate in other disaster-prone areas, and encourage the creation of a disaster-aware culture. This research also opens up further research opportunities related to energy performance evaluation and the application of digital technology in disaster education.

This study aims to identify various types of hazards found in the Apron of Juanda International Airport Surabaya and analyze their impact on flight operational safety. The apron is a vital area in aviation activities because it is a parking lot for aircraft, the process of boarding and dropping passengers, loading and unloading cargo, and light maintenance activities. The existence of potential hazards in this area can have a direct effect on flight safety if not handled properly. The research method used was qualitative descriptive with data collection techniques through field observations, interviews with apron officers, and documentation during the implementation of On The Job Training. The data obtained is then analyzed to identify potential hazards and evaluate the level of risk. The results of the study show that there are still hazard findings in the apron area, including Foreign Object Damage (FOD) in the form of foreign objects that have the potential to damage aircraft engines, oil or fuel spills that can cause fires, the presence of wild animals in the aircraft movement area, Ground Support Equipment (GSE) that is parked out of place so as to interfere with aircraft movement, and marshalls who do not use Complete Personal Protective Equipment (PPE).  This problem is caused by the weak supervision of the Apron Movement Control (AMC) unit and the low awareness of personnel in implementing a work safety culture. Based on these findings, the author prepared mitigation measures in accordance with the guidelines of Doc 9859 AN/474 concerning the Safety Management Manual, including increasing supervision, enforcing safety standards, and periodic training for all apron personnel. It is hoped that the results of this study can be an evaluation reference for airport management to strengthen the supervision system, reduce the risk of accidents in the apron area, and build a better and sustainable work safety culture.

TikTok social media has become an integral part of students' daily lives, yet its use in the educational context remains a topic of debate. This study aims to determine the influence of TikTok usage on students' learning outcomes in the Indonesian language subject for Phase C at SDN 007 Teratak Air Hitam. A quantitative approach with a correlational method was employed. Data collection techniques included the distribution of questionnaires and documentation of learning outcomes. Statistical test results indicated no significant influence of TikTok usage on students' learning outcomes. The conclusion of this study is that students’ use of TikTok does not have a meaningful impact on their Indonesian language learning achievement, suggesting the need for control and guidance to ensure it does not disrupt the learning process.

. This Classroom Action Research aims to improve students' understanding of map material in social science lessons using the Mind Map learning model. The research was conducted at SD Negeri 1 Damarjati with fifth-grade students as the subjects. The research consisted of two cycles, each comprising planning, action, observation, and reflection stages. The methods used to collect data were tests, observations, interviews, and documentation. In the pre-cycle, students demonstrated a limited understanding of map material, as reflected in both their test scores and classroom participation. The findings revealed a notable increase in students' comprehension after the implementation of the Mind Map learning model. The average class score rose from 56.1 in the pre-cycle to 70.8 in Cycle I, and further increased to 84.5 in Cycle II. Moreover, the percentage of students achieving the minimum mastery criteria (KKM) also improved significantly—from 30% in the pre-cycle to 56.6% in Cycle I, and then to 90% in Cycle II. The improvement was not only in academic achievement but also in learning enthusiasm, student engagement, and the ability to recall and connect concepts. The Mind Map learning model helped students better visualize the relationship between different elements of the subject matter, which enhanced both individual and group learning. Additionally, classroom observations indicated that students became more active in discussions and showed better collaboration with peers. These results indicate that the implementation of the Mind Map learning model not only enhances cognitive engagement and visual comprehension but also fosters students’ participation and collaborative learning environments. Thus, it can be concluded that the Mind Map learning model is an effective, student-centered method to improve understanding of map material in elementary schools.

The Javanese wayang kulit purwa (classical shadow puppetry) is a complex performance art form in which karawitan (gamelan music) plays a primary and crucial role, serving as accompaniment, building atmosphere, and accentuating the puppet's movements. A vital musical element within the pakeliran (puppetry performance) repertoire is the gending budhalan, a musical piece used to accompany the scene of a military departure. Ki Purbo Asmoro, one of the most influential dalang (puppeteers) of the contemporary pakeliran garap (interpretive performance style) era, is renowned for his intelligent and innovative performance concepts and musical interpretations. This study aims to analyze Gending Cundaka, a piece frequently used for this departure scene, within the context of Ki Purbo Asmoro's performances. Employing an ethnomusicological and performance studies approach, this qualitative research examines three main aspects: (1) the musical structure and aesthetics of Gending Cundaka; (2) its dramaturgical function as a gending budhalan; and (3) the uniqueness of Ki Purbo Asmoro's interpretation, or garap, that distinguishes his performances. Data were collected through participatory observation of Ki Purbo Asmoro's audio-visual performance recordings, transcription of musical arrangements, and a literature review. The findings indicate that in Ki Purbo Asmoro's interpretation, Gending Cundaka functions not merely as musical illustration but as a potent narrative instrument. Its assertive melodic structure, combined with dynamic kendhangan (drumming patterns) and dramatic tempo manipulations (seseg-kendho), effectively builds the performance's atmosphere, affirms the character of the troops, and provides psychological depth to the scene. The selection and treatment of this gending reflect Ki Purbo Asmoro's artistic intelligence in blending tradition with innovation to achieve gregel (an aesthetic thrill) and evoke a profound sense of rasa (deep feeling) in the audience.  

Mental health is a crucial aspect of modern life, with stress and anxiety being among the most common and impactful psychological disorders. This research proposes a stress and anxiety monitoring system based on the Internet of Things (IoT), integrating biometric sensors and Deep Neural Networks (DNN) for early detection and in-depth analysis. The system is designed using MAX30102 (heart rate and SpO₂), GSR (Galvanic Skin Response), and DS18B20 (body temperature) sensors, managed by an ESP32 microcontroller and communicating through the MQTT protocol. Physiological data is collected in real-time, formatted in JSON, and transmitted to both Android and web-based applications for visualization. The DNN model is developed using the TensorFlow framework with a layered architecture and ReLU activation functions to classify four mental states: relaxed, calm, anxious, and highly stressed. The training dataset comprises both primary and secondary data, including the WESAD dataset. Model performance is evaluated through k-fold cross-validation, showing high accuracy and strong generalization capabilities. The results indicate that the integration of sensor technology and deep learning significantly improves the effectiveness of stress and anxiety detection compared to traditional methods. This system demonstrates great potential for the development of AI-based wearable devices for autonomous, real-time, and adaptive mental health monitoring. 

The coffee farming sector in Gunungmanik Village, Indonesia, plays a significant role in the local economy. However, the monitoring and management of coffee crops remain largely manual and conventional, making it difficult for farmers to respond quickly to environmental threats such as drought, pests, or sudden temperature shifts. This research presents the development of iotgm.id, a web-based monitoring system integrated with Internet of Things (IoT) devices designed to provide real-time environmental data for coffee plantations. The system measures key parameters including temperature, soil moisture, and motion detection (as a proxy for pest activity), and delivers this data via a user-friendly web interface. It also features digital farm record management, real-time alerts for abnormal conditions, and data visualization through interactive dashboards. Field testing with local farmers showed that the system improves decision-making, speeds up responses to environmental changes, and reduces the need for direct field visits. Unlike earlier systems that often required technical expertise or focused on single parameters, this system offers multi-parameter monitoring and is accessible to farmers without advanced digital literacy. The system bridges the gap between sophisticated agricultural technologies and practical field-level application. It contributes to the adoption of precision agriculture in rural areas, offering a scalable model for broader implementation in similar contexts

Abstrak  - Coal handling system berfungsi menangani pekerjaan mulai dari pembongkaran batu bara dari kapal/tongkang (unloading area) yang dipindahkan ke conveyor - conveyor, penimbunan/penyimpanan di stock area, ataupun pengisian ke bunker yang digunakan untuk pembakaran di boiler. Dalam proses pembongkaran tersebut tidak boleh terjadi penyumbatan / plugging terutama pada chute conveyor, maka dari itu diperlukan sensor proteksi untuk mencegah hal tersebut. Sensor lama yang digunakan yaitu berjenis Tilt Switch yang selama pemakaian tidak efektif karena banyak masalah sehingga dilakukan pemeliharaan, akibatnya dilakukan penggantian menggunakan sensor berjenis MBD (Microwave Beam Detector). Dari analisa setelah penggantian menggunakan sensor MBD, permasalahan penyumbatan chute berkurang dapat dilihat dari frekuensi pemeliharaan yang semakin berkurang.

Peningkatan transaksi dalam platform e-commerce seperti Shopee menuntut adanya sistem prediksi status pesanan yang akurat, guna mengoptimalkan pelayanan dan mengurangi pembatalan maupun keterlambatan pengiriman. Penelitian ini bertujuan membangun model klasifikasi status pesanan (selesai atau batal) pada toko Stuftech.Id menggunakan algoritma C4.5. Data yang digunakan merupakan transaksi pesanan mencakup metode pembayaran, kategori wilayah pengiriman, dan ongkos kirim. Proses klasifikasi dilakukan menggunakan RapidMiner dengan tahapan preprocessing, pembangunan decision tree, dan evaluasi model. Hasil analisis menunjukkan bahwa atribut “Kategori Pulau” memiliki nilai gain tertinggi sehingga dipilih sebagai node akar. Model yang dibentuk menghasilkan akurasi sebesar 86%, dengan recall 100% untuk pesanan selesai namun hanya 6,67% untuk pesanan batal. Temuan ini mengindikasikan bahwa algoritma C4.5 efektif dalam memprediksi pesanan yang berhasil, namun perlu peningkatan dalam mendeteksi potensi pembatalan. Implementasi model ini dapat membantu pelaku usaha dalam mengambil keputusan operasional secara proaktif.