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This study is motivated by the discrepancy between production targets and actual field performance caused by dynamic operational conditions, such as equipment productivity and effective working time. The objective of this research is to redesign the production target and develop a more realistic mine sequence using a rolling plan approach at Pit Hill16. The method includes analyzing the productivity of loading and hauling equipment based on cycle time data, calculating effective working time, and determining production targets using the rolling plan method. Furthermore, mine sequence design is developed based on the adjusted production targets. The results indicate that the productivity of loading equipment is 241.98 BCM/hour for the EC480DL excavator and 123.27 BCM/hour for the EC210DL excavator, while hauling equipment productivity is 40.24 BCM/hour. The April production target based on the rolling plan is 275,913 BCM, which can be achieved through mine sequence design with a volume of 277,839 BCM, resulting in a difference of +1,926 BCM, still within acceptable planning tolerance. Therefore, the rolling plan approach is proven to produce a more adaptive and realistic mining plan under actual field conditions.

Penelitian ini dilatarbelakangi oleh tingginya biaya penyimpanan dan meningkatnya stok mati pada Delyana Hijab, yang menunjukkan belum optimalnya pengelolaan persediaan bahan baku. Ketidaksesuaian antara jumlah bahan baku dan kebutuhan produksi menyebabkan pemborosan biaya serta menurunkan efisiensi operasional. Penelitian ini bertujuan untuk menentukan kebutuhan material yang optimal melalui pendekatan forecasting dan Material Requirement Planning (MRP). Metode yang digunakan adalah deskriptif kuantitatif dengan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Tahapan analisis meliputi peramalan permintaan, penyusunan Master Production Schedule (MPS), Bill of Materials (BOM), perhitungan kebutuhan bersih (MRP), serta penentuan ukuran pemesanan melalui metode lot sizing. Hasil penelitian menunjukkan bahwa metode regresi linier menghasilkan tingkat kesalahan peramalan terendah sehingga mampu memproyeksikan kebutuhan produksi dengan lebih akurat. Penerapan MRP menghasilkan perencanaan kebutuhan bahan baku yang lebih terarah dan sesuai dengan jadwal produksi. Pada tahap lot sizing, metode Lot For Lot (LFL) menjadi yang paling efisien dengan total biaya persediaan sebesar Rp108.669.000. Dalam penerapannya, jumlah pemesanan bahan baku mengikuti kebutuhan bersih tiap periode, misalnya kebutuhan kain katun berkisar 5-7 roll per minggu dan dipesan dalam jumlah yang sama tanpa kelebihan stok. Pola ini mampu menekan penumpukan persediaan dan mengurangi risiko stok mati karena bahan baku langsung digunakan sesuai kebutuhan. Dengan demikian, tujuan penelitian untuk menentukan kebutuhan material yang optimal telah terjawab melalui penerapan metode Lot For Lot yang mampu menghasilkan kuantitas pemesanan yang tepat dan efisien.

The development of MSMEs in the traditional food sector requires business actors to increase production capacity. MSME Gethuk Lindri Niki Eco plans to build a larger facility to meet increasing demand. However, the layout planning is still based on rough drawings and experience, which can lead to inefficient material movement. This study aims to provide an overview of recommendations for a more efficient production facility layout using the CRAFT method. The research method involves collecting data on production processes, departmental areas, and material movement frequency. Moreover, an Activity Relationship Chart (ARC) is compiled to identify the close relationships among departments. The results of the analysis are visualized with a Block Plan. Furthermore, the layout is optimized using the CRAFT method. The results show that the recommended layout reduces the total material movement distance from 60.96 meters to 58.19 meters or a reduction of 4.53%. In addition, material handling costs also decreased from Rp. 780.64 to Rp. 766.19 or a savings of 1.85%. Thus, the application of the CRAFT method resulted in a more efficient production layout at the Gethuk Lindri Niki Eco MSME.

Community service at the Visi Iy Nike production unit was carried out using a descriptive qualitative and participatory approach to understand real conditions and challenges in the field. The activities began with direct observation of the production process to map workflows, identify operational obstacles, and evaluate the efficiency of resources, including labor, machinery, and production time. In addition, in-depth interviews and group discussions were conducted to collect information regarding production constraints and strategies applied by the operators. The data were analyzed descriptively to identify gaps between production targets and actual outcomes. Based on these findings, several interventions were implemented, including operator skill training, assistance in production planning, and the application of simple lean manufacturing principles to reduce waste and improve efficiency. The results showed that the average production efficiency reached 77%, supported by skilled operators, adequate raw materials, and flexible management practices. Routine documentation and systematic recording of production targets also contributed to better monitoring, evaluation, and faster decision-making processes.

This study aims to examine how standard costing can be used as a tool for planning and controlling production costs in salted egg cracker micro, small, and medium enterprises (MSMEs). MSMEs need to manage their production costs effectively to increase their profitability in an era of increasingly fierce business competition. A case study was used to collect data through interviews, observations, and financial document analysis. The study shows that the implementation of standard costing has helped more accurate production cost budget planning. This makes it easier for management to compare standard costs with actual costs, which allows for effective and efficient cost control. Furthermore, the findings indicate that standard costing can serve as a benchmark and evaluation tool to improve operational effectiveness. Furthermore, this study suggests that MSMEs should incorporate a standard costing system into their financial reporting process and educate management and employees about the importance of cost control. Therefore, implementing standard costing can be a long-term strategy to keep the company operational and competitive in an increasingly competitive market.

The rapid growth of short-form social media platforms has increased the complexity of decision-making during the digital content planning stage. Content creators are required to evaluate the feasibility of content ideas and determine platform suitability prior to production, while most existing tools primarily focus on post-publication analytics. This study aims to design an Artificial Intelligence (AI)-enabled Decision Support System (DSS) to evaluate digital content ideas in the pre-production stage. Adopting a Design Science Research approach, the study develops a conceptual design artifact that integrates intrinsic content idea characteristics with cognitive and affective response modeling grounded in the Stimulus–Organism–Response (S-O-R) framework, alongside platform affordance mapping. The proposed artifact operationalizes a reflective evaluation mechanism that generates platform recommendation scores and idea enhancement suggestions without claiming deterministic or predictive performance modeling. Evaluation was conducted qualitatively through practitioner assessment to examine perceived usefulness, clarity of recommendations, and decision support contribution. The findings indicate that the developed artifact provides a structured reflective framework for early-stage content evaluation. Theoretically, this study extends the application of the S-O-R framework by operationalizing it as a design logic for a pre-production DSS artifact. Practically, the proposed system has the potential to support more systematic decision-making prior to content production.

The growth of digital media consumption has propelled YouTube to become an important platform for environmental campaign organizations such as Greenpeace Indonesia to disseminate information through various content formats, including podcasts. The Ngobrol Lingkungan podcast program aims to explore environmental issues in depth through focused conversations. This study aims to explain the management of podcast production using the POAC framework, which includes planning, organizing, executing, and controlling, as well as identifying obstacles that arise at each stage of production. The study uses a descriptive qualitative approach with primary data in the form of observations of the production workflow and semi-structured interviews with the production team, as well as secondary data from supporting documents and literature. Data collection was conducted from August to October 2025. The research results are expected to map production practices at each stage, identify technical and non-technical obstacles and their impact on process continuity and output quality, and produce concrete recommendations for improving future episodes. These findings are expected to enrich the study of POAC-based podcast production management and provide practical guidance for similar programs in campaign or public education organizations.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving economic growth; however, their production activities frequently face uncertainty in achieving predetermined targets. Such uncertainty arises from fluctuating market demand, delays in raw material supply, labor limitations, variations in processing time, and other technical constraints. Conventional deterministic production planning methods often fail to capture these real-world risks and variations, leading to less accurate and suboptimal decisions. Therefore, a more adaptive analytical approach that incorporates probability and uncertainty is required. This study aims to analyze the probability of achieving MSME production targets using the Monte Carlo Simulation method. This method models random production conditions by generating data based on probability distributions derived from historical records. Simulations are repeated through numerous iterations to estimate possible variations in production output and measure the likelihood of meeting targets. The results indicate that Monte Carlo simulation provides more realistic and comprehensive production forecasts compared to traditional planning approaches. By understanding both the probability of success and potential risks, MSMEs can design adaptive strategies, optimize resource allocation, manage inventory more effectively, and improve overall production planning accuracy to ensure long-term business sustainability in a dynamic environment.

Focusing on Yuli Bakery, this study aims to examine in depth how production planning budgets and cost effectiveness influence business profitability, particularly in the food and bakery industry sector. This research is based on the assumption that effective production planning can optimize the utilization of available resources, minimize raw material waste, and establish more efficient and structured business operational performance. The study explores the implementation of labor management, raw material management, and production process control oriented toward cost efficiency without reducing product quality, thereby enabling sustainable profitability improvement. The results of the analysis show that Yuli Bakery successfully reduced its cost of goods sold (COGS) by IDR 12,800,000, which directly contributed to an increase in operating profit and gross profit. This cost reduction did not affect overall production volume nor generate additional expenses in other cost components. These findings indicate that even in the absence of significant revenue growth, cost optimization through proper production planning can make a substantial contribution to improving Yuli Bakery’s profitability.

The documentary film “Dari Rasi Jadi Mimpi: Langkah Menjaga Tradisi” was an audiovisual work that portrayed the life and traditions of the Cireundeu Indigenous Community in Cimahi, West Java, with a focus on the consumption of Rasi (cassava rice) as a symbol of food security and cultural identity. The background of this work was based on concerns regarding the gradual marginalization of local traditions due to modernization and changing consumption patterns. This project aimed to document and visually represent the cultural values of the Cireundeu Indigenous Community through an ethical and authentic documentary approach. The production stages consisted of preliminary research, field observation, visual concept development, filming, and post-production. During the production process, the author acted as the Director of Photography (DoP), responsible for visual planning, camera blocking, composition, and lighting strategies adapted to the indigenous environment and technical limitations on site. The results indicated that a visual approach prioritizing authenticity, the use of natural lighting, and visual ethics successfully strengthened the documentary narrative without diminishing its aesthetic value. In conclusion, this documentary functioned not only as an audiovisual work but also as a cultural archive, an educational medium, and a sustainable tool for promoting local culture.

Production planning and inventory control are critical aspects of operations management, as they directly influence cost efficiency, resource utilization, and the continuity of the production process. Ineffective planning and inventory decisions may lead to excessive costs, production delays, or imbalances between supply and demand. The complexity of these problems, which often involve multi-period horizons and multi-stage decision-making processes, has encouraged the application of quantitative optimization methods, one of which is dynamic programming. This study aims to analyze and synthesize the application of dynamic programming in production planning and inventory control through a Systematic Literature Review (SLR) approach. The SLR process was conducted by systematically identifying, selecting, and analyzing 15 relevant national journal articles published between 2015 and 2024 and obtained from various recognized scientific databases. The reviewed literature indicates that dynamic programming is effective in supporting optimal decision-making by determining appropriate production quantities and inventory levels, minimizing total production and holding costs, and managing fluctuating demand conditions. In addition, this method helps reduce the risks associated with overstock and stockouts by considering sequential decision structures. However, the findings also reveal several limitations of dynamic programming, including high computational complexity, strong dependence on deterministic data assumptions, and limited flexibility in handling high levels of uncertainty. These constraints suggest the need for further methodological development or integration with other approaches to enhance practical applicability.

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.