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This study examines the video content production process at Digital Hub Sinar Mas Land as a visual communication strategy to support branding for a digital innovation area. The background of this research stems from the increasing need for organizations to produce creative and informative content as social media becomes a primary channel for information distribution. The study aims to describe the stages of pre-production, production, and post-production, and to identify challenges that affect the effectiveness of video content creation. A qualitative descriptive method was used through active participation, observation, interviews, and literature review. The findings show that concept planning, scriptwriting, and storyboard development form the foundation of successful production. The production stage emphasizes camera techniques, talent coordination, and visual consistency aligned with communication goals. The post-production stage focuses on technical editing to strengthen the audiovisual message structure and prepare content for publication. Key challenges were found in storyboard development, talent performance during filming, and audio processing that required detailed adjustments. The results highlight the importance of thorough planning and coordinated teamwork to ensure that video content effectively supports branding strategies.

This study aims to assess the growth rate of harvested area and rice production in Bengkulu Province during the 2019–2024 period and to examine spatial variation across districts as a basis for regional agricultural policy planning. The data used are secondary, consisting of a series of spatial and temporal data on harvested area and rice production; the analysis method includes calculating the compound annual growth rate (CAGR) for each indicator and examining temporal and spatial patterns across districts. The analysis results indicate a negative growth rate in the rice sector, with a relatively larger contraction in harvested area compared to production, accompanied by fluctuations and differences between years, indicating heterogeneity in agricultural performance at the district level. These findings have clear policy implications: the need for agricultural land protection measures, improvement and maintenance of irrigation infrastructure, increased farmer access to technology and markets, and the implementation of indicator-based growth rate monitoring to determine intervention priorities. To strengthen the policy base, recommended further research includes field verification and combined (quantitative-qualitative) studies to identify local factors driving the observed trends and fluctuations.

Production quantity planning is a crucial component in the bottled water industry (AMDK) to ensure that consumer demand is met efficiently. Inaccuracies in determining the amount of production can lead to overproduction and supply shortages, which ultimately leads to increased operational costs and decreased customer satisfaction. This study applies the Sugeno fuzzy logic method to predict the amount of production based on two main variables, namely weekly demand and raw material stock. The analysis stages include the fuzzification process, the preparation of the rule base, inference using the zero-order Sugeno method, and defuzzification using the Weighted Average (WA) method. The data used is synthetic data that represents the operational conditions of the medium-scale bottled water industry. The results show that the Sugeno fuzzy system is able to produce production predictions that are adaptive and responsive to fluctuations in demand and stock availability. This model provides consistent and stable output, so it can help companies in determining the optimal production amount. These findings confirm that Sugino's fuzzy approach can be an effective decision support tool in bottled water production management, especially in the face of uncertainty and variability in market demand.

This study analyzes the optimization of creative content production on the TikTok platform of Garuda Systrain Interindo, a company engaged in occupational safety and health (K3) certification services. The research aims to (1) identify how the content production process is optimized and (2) examine how such optimization improves the effectiveness of creative content based on the principles of Integrated Marketing Communication (IMC). Using a qualitative descriptive approach, data were collected through observation of the company’s TikTok content, documentation, and analysis of content performance indicators. The results show that the optimization process includes structured planning through content planning sheets, determination of content pillars, talent briefing, consistency in editing style, and template standardization. These efforts are supported by post-production activities such as scheduling, performance monitoring, and evaluation through TikTok Analytics. Furthermore, the optimization significantly enhances content effectiveness, as indicated by increased engagement, reach, and stable performance of educational content. The implementation of IMC particularly in terms of message consistency, visual uniformity, and brand identity integration strengthens brand awareness and improves the clarity of K3 educational messages delivered to audiences. Overall, optimized and IMC-based content production contributes to more effective digital communication and strengthens the company’s professional image on social media.  

This study aims to analyze work time efficiency and determine standard time in the furniture production process at CV. JM Putra using the Time and Motion Study method. The background of this study stems from the problem of low production time efficiency due to suboptimal work methods, ineffective work area layout, and a lack of systematic work time measurement. The research was conducted quantitatively and descriptively through direct observation, interviews, and time measurements using a stopwatch for the table production process, which consisted of five main activities. The results showed that the average total cycle time for one table unit was 347.25 minutes, with the activity of assembling the table frame being the longest activity at 120.13 minutes or about 34.6% of the total working time. After performance assessment and the addition of a 15.5% allowance factor, the standard time was obtained at 129.03 minutes. These results indicate that the activity of assembling the table frame is the most critical point that affects production efficiency. The implications of this study show the importance of improving work methods, area layout, and operator training to increase labor productivity. The application of standard time measurement results can be used as a basis for setting work standards, production capacity planning, and a more objective labor incentive system.

Pre-production photography is a comprehensive stage of preparation and planning before the production and post-production stages. This stage includes determining ideas, visual concepts, technical planning, location selection, and budget and schedule management. This stage is crucial to ensure the smooth running and success of production by minimising problems during shooting. Conceptual photography is photography with a design that carries a specific concept. This type of photography is included in fine art photography, which focuses on conveying ideas and abstract feelings through images. The resulting photographs prioritise the idea behind the work and often use imagination. The pre-production stage of the conceptual photography ‘Mother's Hands’ depicts mothers as loving and strong figures who maintain their identity as women with traditional Javanese nuances. This work conveys a message about the balance between domestic roles and self-esteem and reflects cultural values. The balance between the roles of woman and mother is the concept. The mother is the bearer of household responsibilities and an educator, while also being a woman who maintains her dignity and appearance with grace as a form of self-respect. Visually, this photographic work presents a Javanese mother who is a housewife and her accomplished daughter, who is the result of her mother's upbringing. The photoshoot took place indoors, with gebyok accents and other supporting props in line with the concept. The final result of the conceptual photography ‘Tangan Ibu’ is a photo that combines aesthetic and narrative elements through a meaningful visual presentation. This work provides an experience that is not only visually appealing but also invites emotional engagement from the audience. It can also serve as a reference for photography.

The Instagram account @alineadotid is an extension of the digital media platform Alinea.id, which was established to meet the growing demand for informative, fast, and visually engaging news content. In today’s digital era, where audiences—especially Generation Z—consume information primarily through social media, @alineadotid strategically positions itself as a news distribution channel tailored to visual-first communication. This study seeks to examine the creative strategies implemented in the production of news content on the Instagram account, focusing on the application of POAC (Planning, Organizing, Actuating, Controlling) production management theory. Using a qualitative descriptive approach, data collection was carried out through in-depth interviews with the executive editor and social media specialist, observation of the production workflow, and documentation of various content formats already published. The findings show that creativity is carried out in a systematic and collaborative manner. Planning emphasizes mapping relevant issues and designing visuals that fit audience preferences. Organizing is achieved through a clear division of roles between editorial and design teams. Execution focuses on creating concise, easy-to-understand, and visually attractive content. Control is performed by evaluating performance using social media metrics such as engagement rates, reach, and audience feedback. This structured approach enables @alineadotid to deliver news content that is fast, visual, interactive, and adaptive to changing digital media trends.

This study aims to analyze the application of the full costing method in determining the cost of goods sold at a Sukoharjo Village-Owned Enterprise (BUMDes). The full costing method is an approach that assigns all production costs, both fixed and variable, to the product. It is expected to provide more accurate cost information than the traditional method currently used by BUMDes. This study used a qualitative descriptive approach, using a case study of a BUMDes Sukoharjo that produces traditional foods such as clorot, geblek, and lanting. Data collection techniques included interviews, observation, and documentation.The results indicate that the method currently used by BUMDes Sukoharjo does not capture all production costs, particularly equipment depreciation and other fixed overhead. Calculating the cost of goods sold using the full costing method yields a higher value than the previous method. This difference occurs because the full costing method comprehensively considers all cost elements, providing a more accurate basis for setting selling prices. By implementing the full costing method, BUMDes can improve cost management efficiency and obtain more accurate information for managerial decision-making. Furthermore, applying the full costing method enables BUMDes to better understand the impact of fixed costs on the overall profitability of their products. By factoring in all costs, including overheads and depreciation, BUMDes can make more informed decisions regarding pricing strategies and resource allocation. This method also allows for greater transparency in cost structures, which is essential for effective financial planning and budgeting. Ultimately, the full costing method will contribute to improved financial sustainability and long-term profitability for BUMDes Sukoharjo, helping them navigate challenges in the competitive market of traditional food production.

The loading in and loading out processes are crucial stages in event production. Although often invisible to the audience, they have a direct impact on the smooth running and quality of the event. This study aims to examine the implementation of the loading process at the Pancaverse event held at Depok City Square, focusing on technical dynamics, field challenges, and the implemented solution strategies. This study uses a descriptive qualitative approach through a case study, where data was obtained through field observations, in-depth interviews with five key informants, and technical documentation of the event. The results show that the success of the loading process is highly dependent on several key factors, including detailed planning, clear work zone division, and responsive inter-team communication. Thorough planning before the event begins is crucial to minimize technical errors during the loading process. Furthermore, a structured work zone division facilitates coordination between teams and accelerates workflow. Effective communication between teams, both internally and with external parties, also significantly influences the smooth running of the loading process. However, external factors such as bad weather and miscommunication between vendors are major challenges faced. These challenges can impact the smooth logistics and the overall loading process. Therefore, risk mitigation is carried out through cross-checking logistics, intensive coordination with external parties, and providing backup plans in case of obstacles. The use of a logistics checklist and tagging system has also proven effective in accelerating the identification of goods during unloading, thereby streamlining the loading and unloading process. Overall, this study emphasizes the importance of technical and managerial readiness in handling the loading process as an integral part of event production. These findings are expected to provide practical insights for event industry players in designing and implementing more adaptive and efficient logistics strategies in the field.

The research entitled Production Planning of Tenun Ikat Petra Cilik in Kupang City aims to find out and explain the production planning of Tenun Ikat Petra Cilik in Kupang City. Data collection techniques in this study are observation, interviews, documentation and questionnaires. While data analysis techniques use forecasting and Break Event Point (BEP).The results showed that the amount of sales forecast for sarongs at Tenun Ikat Petra Cilik in 2024 was 174 sheets, in 2025 as many as 202 sheets and 2026 as many as 219 sheets. For blankets in 2024 as many as 107 pieces, in 2025 as many as 110 pieces and in 2026 as many as 113 pieces. For sashes on Tenun Ikat Petra Cilik shows that in 2024 there were 199 sheets, in 2025 there were 201 sheets and in 2026 there were 204 sheets. The results of the Break Event Point (BEP) analysis show that if Tenun Ikat Petra Cilik in Kupang City produces 101 pieces of sarong or Rp.152,000,000, for blankets producing 162 pieces or Rp. 162,857,142 and sling producing 1,380 pieces or Rp.411.940.298, then Tenun Ikat Petra Cilik will not make a profit or not suffer a loss because at that point Tenun Ikat Petra Cilik is in a state of basic return. And if the company produces below the BEP point, the company will experience a loss, and vice versa if the company produces above the BEP point, the company will experience a profit. Based on the results of the study, it is recommended that it be taken into consideration for the company in relation to making decisions on determining the number of orders and good planning for the supply of woven raw materials in order to smooth the production process in the company. And for the company, Tenun Ikat Petra Cilik needs to make a production plan or the amount of production to be produced appropriately in order to provide maximum profit. Produksi Keywords :Planning,Production    

This research is a case study with the object of research at UMKM Liwut Sari The purpose of this study is to determine and explain the production planning of herbal drinks at UMKM Liwut Sari. Data collection techniques in this research are observation, interviews, and documentation while data analysis techniques use forecasting and Break Even Point (BEP).  The results of the sales forecasting analysis of red ginger herbal drink and temulawak herbal drink at Liwut Sari UMKM in January are predicted to sell 263 packs of red ginger herbal drinks and 262 packs of temulawak herbal drinks, in February red ginger herbal drinks is 271 packs and temulawak herbal drinks is 270 packs, in March red ginger herbal drinks is 279 packs and temulawak herbal drinks is 278 packs. The results of the Break Even Point (BEP) analysis show that if UMKM Liwut Sari produces 86 packs of red ginger herbal drinks or Rp 4,289,855 and 81 packs of temulawak herbal drinks or Rp 4,054,794, then UMKM Liwut Sari does not make a profit or suffers a loss because at that point the company is in a state of principal return.

This research is a case study with the object of research on Tenun Ikat Ina Sabu located at Jalan Sukun I, RT 009 / RW 004, Oepura Village, Maulafa District, Kupang City, East Nusa Tenggara. The purpose of this study was to determine and explain the production planning of Tenun Ikat Ina Sabu in Kupang City. The types of data used are qualitative and quantitative. Data collection techniques in this study were interviews, observations, questionnaires and documentation. While the data analysis techniques used are Linear Trend and Break Even Point (BEP). The results of the Linear Trend calculation show that in 2024 Tenun Ikat Ina Sabu will produce 383 pieces of sarong, 358 pieces of blanket and 284 pieces of shawl, then the amount produced for 2025, 414 pieces of sarong, 332 pieces of blanket and 303 pieces of shawl, and the amount produced for 2026, 445 pieces of sarong, 402 pieces of blanket and 322 pieces of shawl. The results of the Break Even Point (BEP) analysis in 2023 show that if Tenun Ikat Ina Sabu produces 1,060 pieces of ikat weaving or around Rp.90,343,129, then the company does not make a profit or loss.

This study aims to produce a company profile video for the Faculty of Technology, Battuta University, Medan using Adobe Premiere CC 2019 software. This company profile video is designed to provide a clear picture of the vision, mission, organizational structure, facilities, and superior programs at the Faculty of Technology, Battuta University, Medan. The production process of this video goes through several stages, namely planning, shooting, processing visual materials, and editing to produce a video that is in accordance with the communication objectives to be conveyed. Adobe Premiere CC 2019 was chosen as the main tool in video editing because of the ability of this software to provide various professional editing features, such as transition settings, visual effects, color adjustments, and audio processing that supports the quality of the final video results. The results of this study are in the form of a company profile video that can be used as a promotional media, which is expected to improve the image and attractiveness of the Faculty of Technology, Battuta University, Medan in the eyes of prospective students and the general public. With this video, it is hoped that information about the faculty can be conveyed more effectively and attractively.

The sustainable management of marine ecosystems and fishery resources is a primary goal of the SDGs (Goal 14). Supporting this objective requires the availability of a cold chain network, including ice factories, to preserve the quality and freshness of fish catches. In the southern coastal area of Sukabumi, particularly Ciwaru Village within the Ciletuh National Geopark, the availability of ice factories remains insufficient. Small fishing vessels (<5 GT) in this area require approximately 6 tons of ice per month. This study aims to design the production capacity of a portable mini ice factory to meet the local ice demand. By considering seasonal patterns, fishing volumes, and fluctuating ice needs, the factory is designed to produce around 788–798 tons of ice per year, with an ice storage capacity of 2 tons. The design utilizes 12 kg ice blocks, adjusted to the vessel sizes commonly used by local fishermen employing one-day fishing methods. The planning results indicate that the establishment of this mini ice factory can address the ice supply shortage in Ciwaru, support the maintenance of fish quality, and enhance the economic value of fishermen’s catches.

Indonesia, as an archipelago, has significant agricultural potential, but its optimal utilization requires balancing rice production volume with the available harvest area. This study analyzed the contribution of harvested area to rice production in Gorontalo Regency using linear regression analysis. The data used included the harvest area and the amount of rice production during the period 2018–2024, sourced from the Central Bureau of Statistics (BPS) of Gorontalo Province. The independent variable in this study was the amount of rice production (tonnes), while the dependent variable was the area of harvest (Ha). The analysis results revealed a very strong linear relationship between the two variables, with a correlation coefficient (R) of 0.8437 and a coefficient of determination (R²) of 0.7119. The regression equation indicated that an increase in rice production by 4.8891 tonnes corresponded to an increase in the harvested area by 1 hectare. The model significance value of 0.017017 indicated that the regression model was statistically significant. This finding demonstrates that the amount of rice production significantly affects the area of harvest, and the model can serve as a predictive basis for planning agricultural sector policies in Gorontalo Regency.

Optimizing the profit from coffee bean production is crucial in the coffee industry consider the competitive environment and the need for maximize revenue. The aim of this research is to use the Simplex linear programming method to determine and maximize profits from coffee bean production. This technique is used to ascertain the best combination of coffee bean production volumes while still considering a number of limitations, including scarce resources (labor, raw materials and machines) and market demand. The findings of this research show that by using the Simplex approach, companies can maximize the profit generated from coffee bean production while adhering to the existing constraints. The simulation conducted provides an optimal solution in terms of the precise production volume for each type of coffee product, contributing significantly to production planning and business strategy.

Production planning is one of the most important factors in improving business continuity. The preparation of production planning is related to the optimization of production for a particular business so that the business can operate efficiently and production activities achieve competitive prices. The preparation of production planning must consider several factors because every business has different goals that it wants to achieve. The Goal Programming method aims to minimize deviations from the targets set by the business, so that business goals can be achieved optimally. This research aims to optimize production in a company that can accomplish more than one goal.  The method used in this study is Systematic Literature Review (SLR), and this study identifies 5 previous journals. The source of information used in this study is articles from national journals published between 2018-2024. The results of this study show that Goal Programming is a very effective tool in production and distribution planning in various industrial sectors.