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Accidents or injuries at work can disrupt the productivity and operational efficiency of PT. Safindo Raya. The research background may include efforts to identify and reduce factors that can cause these disorders, thereby increasing the overall efficiency of the company. One of the main objectives of K3 research is to improve employee safety in the workplace. Research can help in identifying potential risks, analyzing the causes of accidents or incidents, and developing strategies to prevent similar incidents in the future. Companies such as PT. Safindo Raya may have an obligation to comply with K3 regulations and standards set by the government or regulatory bodies. K3 research can help companies ensure that they comply with all applicable regulations and achieve the required safety standards. OSH research can also contribute to increasing productivity and efficiency in the workplace by reducing absenteeism due to work-related injuries or illnesses, reducing production downtime due to accidents, or identifying ways to promote safer and more efficient work processes. With this approach, information is collected through questionnaires or interviews with employees, management or K3 staff. These surveys may include employees' perceptions of OSH conditions in the workplace, their understanding of safety procedures, or specific problems they encounter in carrying out their duties. The majority of employees show a high level of awareness of the importance of K3 in the workplace. They expressed an understanding of the importance of using personal protective equipment (PPE) and existing safety procedures. Interview results indicate that expansion of K3 training may be necessary to make employees aware of each job they have a comprehensive understanding of potential risks in the workplace and the precautions that must be taken.

Power systems are critical infrastructure that face significant challenges due to increasing demand and inherent complexity. Predicting failures in power systems is crucial for enhancing grid reliability, minimizing downtime, and optimizing maintenance processes. This study evaluates various deep learning models, specifically convolutional neural networks (CNN), recurrent neural networks (RNN), and transformer models, for predicting power system failures. By analyzing these models’ performance metrics on historical power grid data, the study provides insights into the strengths and weaknesses of each approach. The findings contribute to the development of more robust predictive models for power system reliability.

Centa Brasindo Abadi (CBA) is a company operating in the agricultural sector. To maintain and increase productivity, maintenance of production machines is required. Preventive Maintenance (PM) is an approach used in maintaining equipment and machines to prevent unwanted damage or failure. A sachet filling machine is a machine for packaging products that will be distributed in sachet packaging according to the predetermined product weight. Preventive maintenance helps identify potential problems, saves on costly repairs, and keeps equipment in optimal operational condition. The aim of this research is to determine the implementation of preventive maintenance to maintain productivity in an effort to reduce downtime.

This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.

The recruitment and selection activities for prospective partners at BPS (Central Statistics Agency) involve a process of seeking and acquiring applicants capable of collaborating with government institutions. Various recruitment and selection methods for BPS partner candidates are commonly employed by government agencies, including job postings, employee recommendations, collaboration with universities, advertisements, and so forth. However, with the current technological advancements, the internet has become a widely used medium for job seekers. One of the methods in use today is through the use of applications. The effectiveness and efficiency of using applications in the recruitment and selection of BPS partner candidates aim to determine how well these applications perform in the process at the BPS Palu Central Statistics Agency. This research is qualitative in nature with a descriptive approach. Data collection techniques involve observation and interviews with prospective BPS partners in Palu. The results of these methods indicate that the effectiveness and efficiency of using applications in the recruitment and selection process for partner candidates are highly effective. This is evident in the significant number of applicants who register and the smooth execution in line with the application's usage. Prospective partners are targeted accurately, understand the program, adhere to timelines, and bring about tangible changes. Any shortcomings, issues, or obstacles in using the application can be resolved effectively, although challenges such as server website downtime need improvement to optimize the application for recruiting BPS partner candidates.

Fungsi pemeliharaan menjadi lebih diperlukan karena produktivitas meningkat dan mesin berteknologi tinggi dan fasilitas produksi digunakan. PT. Primissima yang merupakan perusahaan manufaktur yang memproduksi tekstil berupa kain mori dan kain abu-abu mempunyai permasalahan yang timbul terutama terkait dengan kerusakan pada komponen mesin shuttle, hal ini mengakibatkan downtime dan tertundanya proses produksi sehingga kinerja mesin menjadi kurang. efektif. Dengan menggunakan metode RCM, penelitian ini bertujuan untuk memberikan saran preventive maintenance dan interval waktu perawatan yang optimal pada mesin yang berguna untuk meminimalisir downtime sehingga produksi dapat tetap berjalan sesuai fungsinya.Dari pengolahan data menggunakan metode RCM diperoleh hasil pada komponen Filling fork teath dengan interval perawatan selama 49,64 jam, pada komponen shuttle dengan interval perawatan selama 25,4 jam, pada komponen Nylon Picker dengan interval perawatan selama 64 jam. pada komponen lugstrap dengan interval perawatan selama 14,4 jam, pada komponen Picking Stick dengan interval perawatan selama 69,3  jam.

PT The lathe is one of the essential machines in production activities in this company. The amount of downtime caused by machine failure will reduce product quality and quantity. Therefore, this research aims to identify the factors that most influence the risk of lathe failure so that repair priorities and maintenance strategies can be determined. This can be achieved by using the Failure Mode and Effect Analysis (FMEA) method. FMEA is a method that can be used to identify the causes and impacts of each possible failure mode on machine components by systematically explaining the levels of failure so that appropriate prevention or repair can be carried out. The FMEA method shows the Risk Priority Number (RPN) value as a reference in determining the choice of maintenance strategy, namely, predictive maintenance, preventive maintenance or corrective maintenance. The research results show that the highest RPN value is found in the motor shaft pulley component at 320 and Nut Screw at 210. Maintenance priorities are determined based on the Pareto diagram principle. The appropriate maintenance strategy carried out by PT.   Keywords: FMEA, Lathe, Maintenance, RPN

Industry is an economic activity that processes raw materials, raw materials, semi-finished goods, and/or finished goods into goods with higher value. Industrial revolution 4.0 is often also called the cyber physical system. PT XY to run its business has a system, namely Management System (MS). MS cannot be separated from information technology to support KPI achievement. One of the information technologies that needs to be applied to the production department is OEE Downtime Details as a Realtime production report. currently has a system that is not yet effective in OEE KPIs, especially in Downtime Details. The method that can be used to complete analysis related to this problem is the Pureshare Method which displays quantitative data to provide motivation and suitability for business and technology goals. The results obtained from this research are that creating a dashboard can increase the effectiveness of data input and the data can be standardized so that the data is more valid. Suggestions for further research require evaluation regarding the development of information that will be presented on the dashboard.

Machine downtime is a daily issue in the manufacturing industry. Handling downtime occurrences on machines is necessary to improve productivity and the quality of production outcomes. This becomes a benchmark for manufacturing companies to compete in the era of globalization. The DMAIC approach can be utilized to systematically analyze and resolve issues, including downtime problems. Research findings indicate that hot runner mold is a priority for improvement at PT XYZ. Through the Define, Measure, and Analyze stages of DMAIC, the main problems are clearly identified, their causes deeply analyzed, and effective solutions developed and tested. The implementation of these solutions through the Improve and Control stages successfully enhanced production efficiency, reduced downtime, and improved mold quality.

Reliable and high-performance Internet access is essential to support practical activities in the IBN Lampung Computer Laboratory. Dependence on a single ISP often leads to connection disruptions, reduced service quality, and interruptions in the learning process. This study aims to design and implement a Mikrotik-based load balancing system to improve Internet performance by utilizing two ISP links and providing an automatic failover mechanism when one link becomes unavailable. The research employs the Network Development Life Cycle (NDLC) approach, which includes network requirement analysis, multi-WAN topology design, implementation of load balancing and failover configurations on Mikrotik, and performance testing. The results show that the load balancing system successfully distributes traffic more evenly, enhances connection stability, and provides more consistent Internet speed. Additionally, the failover mechanism works effectively and ensures service continuity when an ISP experiences downtime. In conclusion, the implementation of a Mikrotik-based load balancing system effectively improves Internet access quality and supports smoother laboratory activities.

Dalam lean manufacturing, keandalan mesin sangat penting, sehingga mendorong banyak perusahaan di seluruh dunia untuk mengadopsi strategi pemeliharaan yang efektif dan efisien. Salah satunya adalah menggunakan Reliability Centered Maintenance (RCM), yaitu pendekatan sistematis untuk mengidentifikasi pemeliharaan preventif dengan menetapkan interval perawatan. PT. Pelita Cengkareng Paper saat ini menerapkan maintenance hanya jika mesin mengalami kerusakan. Paper Machine PM 5 merupakan mesin yang mengalami downtime tertinggi selama 2 tahun, yaitu 840.07 jam. Pada PM 5, downtime tertinggi ditemukan di mesin Press.  Nilai Risk Priority Number (RPN) komponen kritis tertinggi mesin Press ditemukan pada komponen Felt dan Uhle Box. Dari hasil penelitian diperoleh interval waktu perawatan komponen Felt adalah 346,15 jam, komponen Uhle Box 385,03 jam Dengan menggunakan RCM Decision Worksheet dapat diketahui jenis kerusakan komponen Felt yaitu: longgar, macet dan kotor. Sedangkan untuk komponen Uhle Box ditemukan cover Uhle Box aus. Tindakan scheduled discard task utamanya dapat dilakukan untuk meningkatkan keandalam komponen.

PT. Semen Indonesia (Persero) Tbk is a company that produces cement and runs the production process 24 hours a day. The company uses Roto Packer in its packaging process. In carrying out machine maintenance efforts, the company has implemented a maintenance system, namely preventive maintenance. However, even though preventive maintenance has been carried out, the company still experiences downtime on the spring load cell components. Therefore, it is necessary to carry out an analysis in order to determine the time between breakdowns, breakdown times, and arrange optimal maintenance schedules for spring load cell components. This study uses the Reliability Centered Maintenance (RCM) method with the Kolmogorov-Smirnov test to develop preventive maintenance activities that have been scheduled by the company. The results obtained, for the spring load cell component, component replacement must be carried out every 4 days with a replacement time of 49 minutes and a reliability of 39.87%.

PT. Romi Violeta is a furniture company engaged in the production of rattan and wood products for the global market. The problem that often occurs is that the Finger Joint machine often experiences damage to the engine components. Therefore, the objectives of this research are to identify critical components in the Finger Joint machine, develop a maintenance scheduling for the machine's components, and compare the maintenance costs before and after implementing the scheduling. The analysis revealed that the Hydraulic component has a cumulative value of 40%, followed by the Cutter component with a cumulative value of 34.4%, and the Air Hose component with a cumulative value of 5.6%. Consequently, a preventive maintenance schedule was determined, with the Hydraulic component requiring maintenance every 31 days, the Cutter component every 36 days, and the Air Hose component every 207 days. This resulted in a reduction in maintenance costs from the previous amount of Rp.5,200,000 to Rp.1,210,847.

PT. Z merupakan salah satu perusahaan yang memproduksi pelat baja yang berlokasi di Surabaya, Jawa Timur. Proses produksi di PT. Z memanfaatkan sepenuhnya mesin yang berjalan sepanjang waktu. Hambatan dalam pembuatan pelat baja adalah bahwa sering ada kerusakan yang disebabkan oleh manusia, material, dan mesin. Seringkali, kerusakan mesin pada faktor mesin menghentikan jalanya proses produksi. Kerusakan pada mesin produksi mencegah proses produksi bekerja dengan lancar. Waktu henti yang tinggi sering disebabkan oleh perawatan dan penggantian komponen pada bagian-bagian mesin tertentu. Akibatnya, peralatan membutuhkan perbaikan atau pemeliharaan (maintenance). Diantara semua mesin produksi, mesin rolling mill  merupakan mesin dengan angka downtime tertinggi. Komponen pada mesin rolling mill yang menyebabkan downtime paling tinggi sebesar 12.851 menit yakni komponen roll. Studi ini bermaksud  membuat rencana penjadwalan penggantian roll pada mesin rolling mill.  Metodelogi yang diterapkan dalam  penelitian ini adalah Preventive Maintenance dengan menghitung keandalannya dan membuat jadwal penggantian roll. Hasil penelitian menunjukan bahwa rata-rata penggantian roll setiap 6 hari dengan keandalan 63,21%, dan rata-rata waktu proses penggantian roll adalah 131 menit.

PT. Z is one of the companies that produces steel plates located in Surabaya, East Java. Production process at PT. The Z fully uses machines that operate 24 hours a day. The bottleneck in the steel plate production process is that there are often breakdowns caused by people, machines, and materials. In the engine factor, there is often a machine breakdown that makes production stop. The smooth running of the production process is disrupted due to damage to the production machine. High downtime often occurs due to repairs and replacement of components in certain machine parts. Therefore the machine needs maintenance / maintenance (maintenance). Among all production machines, rolling mill machines are the machines with the highest downtime rates. The components in the rolling mill machine that cause the highest downtime of 12,851 minutes are roll components. This study intends to make a scheduling plan for roll replacement on rolling mill machines. The methodology used in this study is Preventive Maintenance by calculating its reliability and making a schedule for replacing and maintaining the machine. The results showed that the average roll replacement every 6 days with 63.21% reliability, and the average roll replacement process time was 131 minutes.

In an effort to increase productivity to ensure smooth production processes, it is necessary to implement an appropriate maintenance system to reduce production machine downtime. The purpose of company maintenance is to keep production machines in good condition so that production operations can run efficiently and effectively. PT Yale Woodpallet Indonesia is a company in Indonesia that produces wooden pallets (wood pallet). This company often experiences problems with damage to machines due to suboptimal machine maintenance because the maintenance system is carried out to repair damaged components with new components resulting in downtime. Among these problems, this study aims to determine maintenance intervals to minimize maintenance costs by using modularity design and age replacement methods. Based on the analysis of the results obtained, it is known that the modularity design and age replacement methods can achieve optimal component replacement intervals for pallet machine components is 30,000 minutes, rotary screening components are 33,200 minutes and hopper components are 33,200 minutes. The total maintenance cost per year is Rp. 2,115,610,959, -. compared to the company's maintenance costs which have a value of Rp. 2,668,692,000, the maintenance system using the modularity design and age replacement method is more efficient by 1.27%.

PT. Petrosida is a manufacturing company engaged in pesticide production. The production system in this company is Make To Order (MTO) where the company will produce products after an order or order from consumers. In its production PT. Petrosida has problems with the main tools used for packaging, one of which is a 1-liter induction semi-automatic filling machine in the herbicide unit, where treatment is carried out after damage to a component. Critical components in filling machines experience an average of 20 times damage in 2022-2023 and the machine maintenance process is still not optimal with an average downtime of 5 hours / month. Therefore, the purpose of research is to be able to carry out preventive maintenance using the modularity design method in the hope that there will be no more breakdowns that hamper the production process so as to reduce machine maintenance costs and to find out the minimum total machine maintenance cost planning using the life cycle cost (LCC) method. By implementing preventive maintenance with modularity design, the total maintenance cost of Rp. 9,747,782 is lower than the company's total maintenance cost of Rp. 23,023,176 with an efficiency rate of 42.3%. And obtained the lowest total life cycle cost of Rp. 340,459,348, - with an optimal life on the machine of 3 years & the number of mechanics one person.

PT GMP Sukses Makmur Indonesia is a company engaged in the production of Bubble Wrap (bubbled plastic). This company produces 818,680 rolls with an average monthly production of 68,223 rolls. The problem that often arises at Pt Gmp Sukses Makmur Indonesia is the high production machine delay time with a downtime of 705.43 hours and a breakdown of 663.33 hours in one year, so the engine performance is less effective. This can lead to not achieving production targets which cause losses. The purpose of this study is to determine the effectiveness of the Bubble Wrap production machine using the Overall Resource Effectiveness (ORE) measuring tool and to find the causes of the problems that have been carried out using the ORE method on Bubble Wrap production machines during the period September 2021 – August 2022. ORE is a method that is useful in measuring the effectiveness of production time by taking into account the resources which include humans, machines, materials and methods. In the ORE method there are seven factors that are measured including readiness, availability of facility, changover efficiency, availability of material, availability of manpower, performance efficiency, dan quality rate. The results of measuring machine effectiveness using the Overall Resource Effectiveness (ORE) method for Ektruder machines were 76.41%, Crushers 99.59%, Cooling 98.99%, Mixers 99.79%, and Air Compressors 98.88%. Based on the method used, it is known that in the Bubble Wrap production process, the extruder machine does not meet the ORE standard of 85%, while the influencing factors are performance efficiency and quality rate. where the value of performance efficiency and Quality rate does not meet the standard so that it affects the high value of Overall Resource Effectiveness (ORE).