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Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

The problems encountered are damage to the rubber wheel mount and universal/cross joints on the 90 m/hour capacity wood profile making machine, which can affect the uniformity and speed of wood profile making. Maintenance and repair planning aims to be able to create a maintenance and repair schedule for the 90 m/hour capacity wood profile making machine for the period 2026, estimate maintenance costs and the ratio of maintenance and repair costs to machine profits. The maintenance planning method includes collecting maintenance data from previous maintenance periods, reviewing the specifications of the wood profile making machine, estimating the age and price of components that are estimated to be damaged, estimating the cost and duration of dismantling and installing components that have been repaired in accordance with the provisions of the requirements for usable components or replacement spare parts, scheduling maintenance and repairs, estimating maintenance and repair costs for the period 2026, and determining the ratio of maintenance costs to profits. The planning results in the form of a maintenance-repair schedule for the period 2026; maintenance and repair costs in 2026, the ratio of maintenance costs to profits, and their implications indicate that the machine is still prospective and usable.

Conventional management of sports services often leads to inefficiency and limited public access to experts and facilities. Reliance on manual systems poses a high risk of scheduling conflicts or human error. This study aims to develop the User Interface (UI) and User Experience (UX) design for the Movement and Athletic Talent Hub (MATCH) application as an integrative digital solution. The approach employed is the Design Thinking method, encompassing the stages of empathize, define, ideate, prototype, and testing. The design process resulted in an interactive prototype featuring key functions such as facility booking, trainer search, and a digital payment system. Evaluation was conducted using the System Usability Scale (SUS) method involving target users. The test results yielded an average score of 79.5, categorizing the MATCH application within the Good rating and Acceptable status. These findings indicate that the design is effective in meeting user needs and is viable for further development as a digital sports ecosystem.

The problem faced is the decline in the performance of a 650 liter/minute centrifugal pump due to wear on components, especially the impeller, rolling bearings, and mechanical seals in supplying process water and clean water in industrial production systems. The planning objective is to obtain a maintenance schedule for a 650 liter/minute centrifugal pump for the operational period of 2026 and the ratio between maintenance costs and profits generated by the machine. The maintenance planning method includes collecting maintenance data from previous maintenance periods, reviewing centrifugal pump specifications, applying the inspection, replace, repair, and overhaul (IRRO) approach, estimating the age and price of components that are expected to be damaged, estimating the cost and duration of dismantling and installing components that have been repaired in accordance with the provisions of the requirements for usable components or replacement parts, scheduling maintenance and repairs, estimating maintenance and repair costs for the 2026 period, and determining the ratio of maintenance costs to profits. The planning results are in the form of a maintenance schedule for the 2026 period worth IDR 4,290,000,-, a maintenance cost to profit ratio of 7.44% and the implications indicate that the machine is still suitable for use and prospective for operations in the next few years.  

This study aims to analyze the content planning process and strategy on the TikTok account @Garudasystrain.id managed by PT Garuda Systrain Interindo. Using a qualitative descriptive approach through observation, interviews, literature review, and active participation during six months of Field Work Practice (PKL), this study describes how the company structures its social media workflow to support educational communication in the field of Occupational Safety and Health (K3). The results show that the content planning process is carried out through systematic stages, starting from trend research, idea gathering, content planning sheet preparation, upload scheduling, approval process, and weekly collaboration between team members. These stages ensure that the resulting content is relevant, consistent, and in line with the company's educational objectives. In addition, the content strategy is structured based on the Hierarchy of Effects Model, which includes the stages of awareness, knowledge, liking, preference, conviction, and action, so that the message delivery flow can encourage the audience from recognition to action. The use of clear and targeted Call to Action (CTA) also strengthens interaction and encourages audience participation. Overall, this approach helps PT Garuda Systrain Interindo in using TikTok strategies, improving the company's image, and strengthening the effectiveness of digital communications related to K3.

This study analyzes the maintenance process of the Roll Bending machine used in the wind tower production line at PT Kenertec Power System, Cilegon, Indonesia. The Roll Bending machine plays a crucial role in shaping steel plates into cylindrical shell components, which are later assembled into wind tower sections. The objective of this research is to identify maintenance patterns, types of failures, and improvement strategies to ensure machine reliability and operational efficiency. The research employed observation, interviews with maintenance personnel, and documentation review to collect relevant data. The findings show that the machine experienced multiple failures, mostly related to hydraulic system leaks, PLC programming errors, and component wear such as cylinders, seals, and gear pumps. A significant increase in corrective maintenance activities occurred between August 2023 and April 2024, particularly in February 2024, indicating the need for a more consistent predictive maintenance strategy. The implications of this study highlight that optimized maintenance scheduling and monitoring are essential to reduce downtime, avoid production delays, and maintain product quality. This research is expected to support maintenance decision-making and contribute to the improvement of industrial machine reliability in wind tower manufacturing operations.

Social media management has become a strategic necessity for social and community organizations to enhance the effectiveness of public relations activities in the digital era. This community service program aims to strengthen the digital communication capacity of members of the Indonesian Doctors’ Wives Association (IIDI), Surakarta Branch, particularly in managing social media as a public communication channel. The training was conducted offline and combined theoretical sessions, technical demonstrations, and hands-on practice covering content strategy, basic photography, Canva-based content creation, content calendar development, and management of Instagram, Facebook, and TikTok accounts. Evaluation was carried out using pre-test and post-test instruments to assess participants’ improvement. The results show a significant increase in all competency indicators, especially in content creation, content scheduling, and social media administration skills. Participants also produced their own digital content as part of the practical assessment. Post-training support was provided through a WhatsApp group to ensure continued knowledge sharing and skill development. Overall, the program demonstrates that practice-oriented training can effectively enhance the digital communication competencies of social organizations and strengthen their public relations functions. This initiative is expected to serve as a replicable model for similar organizations seeking to optimize their social media engagement.

This study aims to determine how to optimize container loading and unloading activities at PT. Pelindo Multi Terminal Sibolga Branch. Container loading and unloading activities are one of the main activities in port operations that greatly affect the efficiency and productivity of maritime logistics. PT. Pelindo Multi Terminal Sibolga Branch as one of the port service providers has an important role in ensuring the flow of goods in the West Coast of North Sumatra. This study is to analyze and identify factors that affect container loading and unloading performance as well as optimization strategies to improve time, costs, and resource utilization. The methods used in this study include field observations, interviews with related parties, and analysis of historical data on operational activities. The results of the study indicate that the main obstacles come from limited equipment, lack of coordination between parties, and low utilization of information technology. Suggested optimization efforts include the addition of heavy equipment for unloading, increasing workforce training, and digitalizing monitoring and scheduling systems.  

The manual driver scheduling system in the “Mobil keluarga”Rudi car rental Medan business often faces conflicts and inefficiencies. Problems such as driver double-booking, where Driver A is scheduled to accompany Guest B while still serving Guest C, lead to service delays and customer dissatisfaction. This research aims to design and implement a driver allocation module integrated with a Geographic Information System (GIS) to optimize the scheduling process. The method used is Research and Development (R&D) with data collection through interviews and system design using UML and prototyping in Figma. The proposed system utilizes GIS to map driver locations in real-time and identify the nearest available driver to a customer, thereby reducing allocation decision time. It is hoped that this research can produce a system design that serves as a solution to improve service efficiency and operational productivity in Rudi car rental Medan businesses. The integration of GIS in driver allocation is the novelty of this study in the context of small and medium-sized rental businesses.

Frequent damage to the grinding disc components and the transmission system of the 15 kg/hour rice flour grinder is a problem faced. The purpose of scheduling component maintenance and repairs is to obtain predictions of maintenance and repair schedules and costs for the period 2026. The component maintenance and repair scheduling method includes examining previous period maintenance and repair data, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, estimating component life, estimating technician costs, estimating supporting work equipment and supporting materials to be used in maintenance, estimating the time for replacing spare parts or reinstalling components after repair, estimating maintenance and repair costs in 2026, and calculating the maintenance cost to profit ratio. The results of component maintenance and repair scheduling show that the maintenance cost in 2026 is Rp 1,370,000,- with an estimated annual profit potential of Rp 21,600,000, and the maintenance cost to profit ratio is 6.3%, which implies that the 15 kg/hour rice flour grinder is still quite prospective and feasible to use for the next few years.

The problem with the sugarcane press machine is a decrease in performance in sugarcane pressing because it has been used since 2020 with an initial price of IDR 3,000,000, which is predicted to be IDR 5,500,000 in 2025 which occurs in the main components of the roler mill, V-belt, and bearings. The purpose of scheduling replacements and repairs is to obtain a schedule, estimated maintenance costs, and the ratio of replacement and repair costs to the profit of renting a sugarcane press for the period 2026. The scheduling method includes collecting data on the use of the sugarcane press machine, a list of replacements for 5 components for roler mills, V-belts, bearings, gasoline motor tanks, and engine frames from 34 components, component prices, estimated labor costs, equipment costs, supporting material costs, application of the inspection, replace, repair, and overhaul (IRRO) method, scheduling replacements and repairs, and calculating the ratio of replacement costs to profits. The results of the replacement and repair scheduling are in the form of maintenance costs of IDR 958,000, with a rate of IDR 10,000/hour for 588 hours/year, resulting in a profit of IDR 5,880,000, and a ratio of maintenance and repair costs to profit of 0.16%.

Problems in the meatball dough grinder are low production, increasing maintenance costs and disappointed meatball dough customers who receive orders late due to problems with the electric motor, Pulley, V belt, cutting knife. The purpose of the replacement scheduling is to obtain costs, maintenance-repair schedules in the period 2026, and the ratio of maintenance costs to profits. The replacement scheduling method includes collecting previous period maintenance data, applying the inspection-replace-repair-overhaul (IRRO) method, evaluating component working conditions, predicting component life, predicting repairman costs, predicting supporting equipment that will be used in maintenance, predicting the time to replace spare parts or reinstall components after repair, estimating maintenance and repair costs in 2026, and calculating the ratio of maintenance costs to profits. The results of the replacement scheduling show that the maintenance costs in 2026 are IDR 2,530,000 with an estimated rental rate for the meatball dough grinder of IDR 10,000/kg which has the potential to be rented for 1300 hours/year, and the ratio of maintenance costs to profits is 4.9% which implies that the meatball dough grinder with a capacity of 5 kg/hour still has the potential to sell well and is suitable for use in the coming years.

This study analyzes the implementation of the murabahah contract in resolving Non-Performing Financing (NPF) for micro-enterprises through collateral auction at the Bank Syariah Indonesia (BSI) Ahmad Yani Branch Office, Area Bandung Raya. The primary objective is to analyze the conformity of the auction process with comprehensive Sharia principles (fiqih muamalah), particularly focusing on the final stage of debt resolution. Employing a qualitative-descriptive method, data was gathered through literature review and direct interviews with personnel from the bank's collection and recovery department. The findings indicate that the NPF resolution procedure is conducted systematically and ethically, beginning with warnings, mediation, and intensive restructuring efforts, such as rescheduling and reconditioning, in line with the spirit of ta'awun and Fatwa DSN MUI No. 48/2005. The auction is only performed as a final, likuidatif resort when the customer is non-cooperative or entirely unable to pay after all 3R attempts have failed. Crucially, the process generally aligns with positive regulations and Sharia provisions, including the transparent process of Muzayyadah through KPKNL. Key aspects of Sharia compliance include the bank's commitment to returning any surplus funds from the collateral sale directly to the customer, thereby avoiding ghulul (fraudulent gain), and the provision of the option to waive the remaining debt for customers deemed genuinely unable to fulfill their obligations, in line with Fatwa DSN MUI No 47/DSN-MUI/II/2005. This research provides practical insights for Islamic financial institutions on balancing effectiveness in debt resolution with the imperative of comprehensive Sharia compliance and ethical transactional justice.

This research is motivated by the increasing number of cases of child sexual abuse that cause serious psychological impacts in the form of trauma and emotional development disorders. The purpose of this study is to describe and analyze the process of religious guidance through Islamic religious education counseling for child victims of sexual abuse, which includes four main aspects, namely: (1) planning religious guidance, (2) implementing religious guidance activities, (3) strengthening religious guidance, and (4) supervision in the guidance process. This study uses a qualitative method with data collection techniques through interviews, observations, and documentation. The validity of the data is tested using triangulation and member check techniques. The results of the study indicate that religious guidance planning is carried out by compiling programs, scheduling activities, and evaluating the results of guidance. The implementation of activities is carried out through religious counseling, psychological approaches, and integration of spiritual values to help children understand and internalize religious teachings independently. Strengthening guidance is carried out through spiritual counseling services, psychological assistance, and legal assistance for victims. Meanwhile, supervision of guidance is carried out through optimizing the role of the community in community-based child protection groups as an integrated system to create a safe and child-friendly environment.

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 examines the application of the Project-Based Learning (PjBL) model in Natural and Social Sciences education to enhance environmental awareness among fifth-grade students at SDIT Wihdatul Ummah in Makassar City. The background of this research stems from the low environmental awareness observed among students, evidenced by behaviors such as littering, lack of concern for energy conservation, and minimal participation in school cleanliness activities. The study aimed to improve students' environmental consciousness by implementing the PjBL model, where students were tasked with creating environmental awareness posters. The research used a Classroom Action Research (CAR) method, which was carried out in two cycles, each consisting of three meetings. The stages of PjBL involved determining essential questions, project planning, scheduling, project implementation, result testing, and evaluation of experiences. Data collection was done through observations, attitude questionnaires, and documentation of student activities. The findings showed that the PjBL model successfully increased students' active participation, creativity in expressing environmental awareness through posters, and their practical actions toward environmental protection. The environmental awareness indicators, such as maintaining cleanliness, managing waste, conserving energy, understanding waste disposal systems, and using cleaning tools, significantly improved from Cycle I to Cycle II. The results indicate that the PjBL model is effective in enhancing environmental awareness while making the learning process more engaging and contextual for elementary school students.

Society 5.0 era, tourism villages are required to optimize social media as a strategic. This study aims to analyze and evaluate the effectiveness of social media, identify obstacles, and formulate a digital storytelling strategy. A combination method used with a concurrent triangulation strategy. The SOSTAC framework used to describe the marketing strategy. The research location was in Pancoh Ecotourism Village, with research objects consisting of Instagram and TikTok media content. The sampling technique used purposive sampling. Primary data were obtained through in-depth interviews with the head of the management and the marketing division, while secondary data consisted of documentation of social media content. Data validity was tested using triangulation. Qualitative analysis conducted by identifying digital marketing strategies and analyzing content. Quantitative analysis carried out by calculating the Engagement Rate on Instagram and TikTok to measure the effectiveness of audience interaction with narrative content. The results showed that Instagram was superior in strengthening promotional content through paid advertising, while TikTok demonstrated organic strength in human interest narratives and environmental education. Pancoh needs to develop a more balanced digital storytelling strategy, consistent content production, human resource training, utilizing social media algorithms, interaction patterns directed at two-way engagement, content distribution utilizing cross-posting techniques, scheduling uploads at prime time for young users, and placing the community as the main actor in the narrative

This study aims to analyze the strategic role of the shipping agent, specifically PT. Naval Global Trans Belawan Branch, in ensuring the smooth flow of the maritime logistics chain. The shipping agent functions as a crucial intermediary coordinating contasiner distribution, bridging the interests of cargo owners, shipping companies, and the Belawan Port authority. The research utilizes a descriptive qualitative approach, with data collection performed through field observation and documentary study within the Belawan Port environment. The findings identify that the shipping agent holds broad responsibilities, commencing with container booking according to the required type and size, scheduling vessel arrivals and departures, managing customs and port documentation, and monitoring container movements (from the depot to loading onto the vessel). This role is highly instrumental in determining port throughput efficiency. However, in carrying out its functions, the shipping agent encounters several significant challenges. These constraints include limited container availability, disruptions in the port information system which is not yet optimally integrated, and dynamic changes in export-import regulations. These obstacles potentially cause operational delays and an increase in logistics costs. The study concludes by emphasizing the importance of better information technology integration between the shipping agent and the port authority. Furthermore, enhancing the quality of human resources (HR) through training and certification is key to ensuring that agents can respond to regulatory changes and operational challenges quickly and professionally.

This research aims to analyze the impact of implementing the International Safety Management (ISM) Code internal audit on the operational smoothness of the vessel MV. Martha Golden, managed by PT. Multi Jaya Samudera Belawan. The implementation of the ISM Code is a mandatory requirement regulated by Law No. 17 of 2008 concerning Shipping, designed to ensure safe ship operation and the prevention of marine pollution. The research methodology employed is field research (field research) through observation and the collection of direct operational data, complemented by a literature review (library research) to examine related regulations and theory. The findings demonstrate that the consistent execution of the ISM Code internal audit has a significant positive influence on improving the vessel's safety and operational integrity. This audit, carried out by the Designated Person Ashore (DPA), encompasses scheduling, conducting thorough inspections onboard, and reporting findings. Consistent auditing minimizes the risk of accidents at sea, enhances the compliance of all crew members with the applicable Safety Management Sistem (SMS), and ensures that the vessel operates safely and efficiently according to international standards. The study concludes that discipline in performing internal audits and the crew's adherence to SMS procedures are the primary keys to maintaining operational integrity. It is recommended that the company increase the frequency and quality of internal audits and crew training to ensure the vessel's safety and operational efficiency are consistently maintained.

The increasing demand for cloud computing services has led to the rapid expansion of cloud data centers, which consume significant amounts of energy and contribute substantially to global CO2 emissions. As the IT industry grows, the environmental impact of these data centers becomes an urgent concern. Green Cloud Computing (GCC) has emerged as a solution to mitigate this impact by focusing on energy efficiency and reducing carbon footprints while maintaining the necessary functionality and performance of cloud infrastructures. However, traditional blockchain consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) face limitations regarding energy consumption and scalability, which exacerbates the environmental burden. This study proposes a quantum-inspired blockchain consensus algorithm designed to optimize energy consumption and reduce latency in cloud data centers. By integrating quantum principles such as superposition and entanglement, the algorithm enhances task scheduling and resource utilization, enabling more energy-efficient operations without sacrificing performance. Simulations in a green cloud environment showed that the quantum-inspired algorithm resulted in up to a 30% reduction in energy usage compared to traditional consensus methods, with a 40% improvement in consensus processing time. These results suggest that quantum-inspired algorithms hold significant potential for enhancing the sustainability of cloud infrastructures by improving energy efficiency and scalability. Furthermore, this study discusses the feasibility of implementing quantum-inspired algorithms on classical hardware, addressing challenges in scalability and integration into existing blockchain frameworks. The findings provide valuable insights into the potential of quantum-inspired technologies to drive energy-efficient solutions in cloud computing.