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This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

The advancement of digital technology has encouraged the transformation of airport services, including the implementation of Customer Service through Contact Center 172. This study aims to analyze the implementation of Contact Center 172 in improving service responsiveness at Adi Soemarmo International Airport, Boyolali. The study employed a descriptive qualitative approach with a case study method. Data were collected through observation, interviews with five informants, and documentation, and analyzed using the Miles and Huberman interactive analysis model consisting of data collection, data reduction, data display, and conclusion drawing. The findings indicate that the implementation of Contact Center 172 has supported digital service transformation through an integrated communication system that facilitates real-time information delivery and complaint handling. The service has improved Customer Service responsiveness by providing easier access to information, faster response times, and more effective coordination among service units. Supporting factors include competent human resources, integrated systems, and adequate digital facilities, while the main obstacles involve limited internet connectivity, system maintenance disruptions, high complaint volumes, and limited user understanding of digital services. Therefore, strengthening technological infrastructure, improving staff competencies, and increasing public awareness are essential to optimize digital-based airport services.

Environmental pollution is a common problem in cities and can increase the likelihood of flooding. The purpose of this study is to analyze environmental pollution as a cause of flooding in the Pekapuran Street area, Depok City. This study applies a descriptive method with a qualitative approach. Data were obtained through observation, documentation, and literature review. Based on the results of the study, it was found that the accumulation of household waste around the drainage channels causes obstruction of water flow, which triggers flooding during rain. In addition, the shallow, mud-filled, and poorly maintained drainage conditions increase the risk of flooding. Low levels of public awareness of environmental cleanliness are also factors that exacerbate the condition. This study concludes that flooding on Pekapuran Street is influenced not only by high rainfall, but also by environmental pollution and a suboptimal drainage system. Based on this, better waste management and drainage maintenance are needed to minimize the risk of flooding in the area.

Abstract. This research aims to analyze the effectiveness and reliability of production machines in the process of making public street lighting poles (PJU) at PT. XYZ The main problem faced by the company is high machine downtime so that production targets are not achieved. Therefore, a method is needed that is able to measure machine effectiveness as a whole and identify the main causes of production losses. The method applied includes Overall Equipment Effectiveness (OEE) to measure machine effectiveness based on three components, namely availability, performance and quality. The Total Productive Maintenance (TPM) approach is used to identify factors causing low effectiveness through Six Big Losses analysis. Apart from that, Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF) are calculated to determine the level of machine reliability. The data used includes machine working hours, downtime, operating time, production quantities, defective products, as well as machine damage and repair data. The analysis results are expected to show the level of machine effectiveness and identify the dominant factors causing downtime. Based on these results, improvement proposals are prepared to reduce downtime, increase machine reliability and improve production productivity Keywords: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime, Efektivitas   Abstrak. Penelitian ini bertujuan untuk menganalisis efektivitas dan keandalan mesin produksi pada proses pembuatan tiang penerangan jalan umum (PJU) di PT. XYZ Permasalahan utama yang dihadapi perusahaan adalah downtime mesin yang tinggi sehingga target produksi tidak tercapai. Oleh karena itu, diperlukan metode yang mampu mengukur efektivitas mesin secara menyeluruh dan mengidentifikasi penyebab utama kerugian produksi. Metode yang diterapkan meliputi Overall Equipment Effectiveness (OEE) untuk mengukur efektivitas mesin berdasarkan tiga komponen, yaitu availability, performance, dan quality. Pendekatan Total Productive Maintenance (TPM) digunakan untuk mengidentifikasi faktor penyebab rendahnya efektivitas melalui analisis Six Big Losses. Selain itu, dilakukan perhitungan Mean Time To Repair (MTTR) dan Mean Time Between Failure (MTBF) untuk mengetahui tingkat keandalan mesin. Data yang digunakan mencakup jam kerja mesin, downtime, waktu operasi, jumlah produksi, produk cacat, serta data kerusakan dan perbaikan mesin. Hasil analisis diharapkan dapat menunjukkan tingkat efektivitas mesin dan mengidentifikasi faktor dominan penyebab downtime. Berdasarkan hasil tersebut, disusun usulan perbaikan untuk mengurangi downtime, meningkatkan keandalan mesin, dan memperbaiki produktivitas produksi Kata kunci: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime Mesin, Efektivitas Mesin

Manual teaching journal management at SMA Negeri 1 Kayen frequently leads to documentation inefficiencies, risks of data loss, and challenges in the teaching supervision process. This research tends to design and develop a web-based teacher teaching journal information system employing the CodeIgniter 3 framework with a Model-View-Controller (MVC) architecture. The system was improved employing the Waterfall methodology, comprising requirements analysis, system design, implementation, testing, and maintenance phases. The system integrates four user roles—administrator, teacher, student, and supervisor—to support the digitalization of recording processes, real-time teacher attendance verification by students, and centralized activity monitoring. Black Box Testing outcomes present that all system functions, involving authentication, data management, and reporting, operate 100% in accordance with user requirements. The implementation of this system effectively reduces administrative time compared to manual methods while enhancing the accountability and transparency of teaching journal management within the school. With centralized data integration, this system helps as an effective solution for supporting data-driven managerial decision-making in education.

The Kampung Bahari Nusantara (KBN) Program is one of the Indonesian Navy's community empowerment initiatives aimed at improving the welfare of coastal communities through the development of economic, educational, health, tourism, and defense sectors. Tlocor Hamlet, Kedungpandan Village, Jabon District, Sidoarjo Regency, possesses significant coastal resource potential and marine tourism opportunities; however, the implementation of the program has not yet achieved optimal results. This study aims to analyze the implementation of the Kampung Bahari Nusantara Program and formulate strategies to optimize its contribution to community welfare improvement. The research employed a qualitative descriptive approach through observation, interviews, and documentation involving village officials, community members, and representatives of the Indonesian Navy. The findings indicate that the program has positively impacted infrastructure development, tourism growth, and public service accessibility. Nevertheless, several challenges remain, including limited community participation, inadequate human resources, insufficient educational and health personnel, and weak inter-agency coordination. The study concludes that optimization can be achieved through strengthening stakeholder collaboration, enhancing community empowerment, improving infrastructure maintenance, and expanding educational and health services. These efforts are expected to promote sustainable welfare improvement and strengthen maritime resilience in coastal areas.

Guided Bone Regeneration (GBR) relies on a barrier membrane to prevent soft tissue invasion in the wound area and maintain space for bone formation. Conventional membranes generally function as a passive barrier without enhancing osteogenesis. Membranes fabricated with the addition of β-TCP were developed to enhance membrane bioactivity. This review aims to evaluate the role of β-TCP as a bioactive component in barrier membranes used in GBR procedures. The study used a narrative review approach with literature sources from PubMed, Google Scholar, and ScienceDirect in the period 2016–2026. The keywords used included “guided bone regeneration," “barrier membrane," and “β-tricalcium phosphate." The selected articles were English-language experimental studies with relevant topics. A total of 7 articles met the inclusion criteria. The incorporation of native β-TCP showed increased osteoconductivity, hydrophilicity, and mechanical strength of the membrane. The release of calcium and phosphate ions plays a role in increasing osteoblast proliferation and osteogenic marker expression. In vitro and in vivo studies also demonstrated increased new bone formation and improved regeneration space maintenance compared to conventional membranes. The optimal concentration of β-TCP varies depending on the polymer matrix. β-TCP-based membranes have the potential to act as bioactive barrier membranes that not only act as a barrier but also support bone regeneration. Further research, particularly human clinical trials, is needed to confirm their effectiveness and safety.

Analyzing the freshwater needs on Landing Platform Dock (LPD) type ships in the Amphibious Unit of Koarmada II, with a focus on the implementation of the Reverse Osmosis (RO) system to supply freshwater at sea. The problem faced is the limited supply of freshwater on ships operating far from external freshwater sources. This study uses a qualitative approach with interviews, observations, and documentation as data collection methods. The results of the study indicate that the RO system can improve the efficiency of freshwater supply, although technical challenges such as maintenance and crew training still need to be addressed. Optimal implementation of the RO system can support the logistical independence of the ship during long-term operations in remote waters. This study is expected to serve as a reference for the development of freshwater supply systems on Indonesian warships.

This community service program aimed to promote a community-based environmental care movement through the planting of productive trees in Meunasah Panggoi Village, Muara Dua District, Lhokseumawe City. The program was implemented over four weeks using a Community-Based Participatory (CBP) approach, actively involving local residents in the planning, observation, seedling procurement, tree planting, and initial maintenance stages. The observation results indicated that vegetation cover in the village was still limited, highlighting the need for sustainable greening efforts. A total of 25 productive trees, including mango, longan, coconut, guava, and avocado, were successfully planted at several strategic locations. The activity involved village officials, youth groups, and community members, thereby strengthening public participation in environmental conservation. The program not only increased vegetation cover but also reinforced the spirit of mutual cooperation, enhanced collective awareness of environmental preservation, and encouraged the productive use of available land. The productive trees are expected to provide long-term ecological, social, and economic benefits by improving environmental quality and generating harvests that can be utilized by the community. Therefore, community-based greening represents an effective strategy for supporting sustainable environmental development at the village level.

Children's literacy can be improved through interactive learning media. A digital children's story platform, previously a mobile application, required web version development to expand user accessibility via browsers. The main challenge in this development was presenting multimedia content such as text, images, and audio dubbing synchronously scene-by-scene without degrading system performance, as well as facilitating reader interaction through a rating feature. This research aims to design and develop the platform using a Decoupled Architecture approach. The software development method used is Waterfall, encompassing requirement analysis, system design (UML, CDM, and PDM), implementation, testing, and maintenance. During implementation, ReactJS is utilized on the client-side for responsive interface rendering and state management, while Laravel is implemented on the server-side as a RESTful API provider to manage multimedia asset transmission, rating records, and the MySQL database. Functional system testing was evaluated using Black-box Testing, while user experience was validated using Spearman's Rank Correlation. The results indicate that this architectural separation (front-end and back-end) effectively resolves server overload issues commonly found in monolithic architectures and produces a seamless, stable asynchronous data transmission system across various devices.

This research is motivated by the importance of implementing Standard Operating Procedures (SOP) in speed boat maintenance activities as a supporting facility for ship agency operations at PT. Sinar Pasific. The high intensity of speed boat usage makes the fleet vulnerable to damage if maintenance is not carried out regularly and according to procedures. Based on initial observations, inconsistencies in maintenance implementation, incomplete documentation, and damage to the engine, electrical systems, and hull were still found, which can disrupt company operations. This study aims to determine the implementation of SOPs, the obstacles encountered, and the efforts made to optimize speed boat maintenance at PT. Sinar Pasific. This research was conducted at PT. Sinar Pasific during the author’s Onboard Practical Training (PRADA) from August 2024 to July 2025. The research method used is a descriptive qualitative method. The data sources were obtained through direct field observation, semi-structured interviews with personnel involved in speed boat operations, and documentation studies related to fleet maintenance activities. The results show that the implementation of Standard Operating Procedures (SOP) in speed boat maintenance at PT. Sinar Pasific has been carried out but has not yet run optimally. This is indicated by inconsistent maintenance schedules, lack of supervision, and incomplete maintenance documentation. In addition, several problems were still found, such as damage to the engine, electrical systems, and speed boat hulls, which can hinder company operations. To overcome these obstacles, the company has made efforts by improving discipline in SOP implementation, conducting regular supervision and evaluation, improving maintenance documentation, and increasing technicians’ understanding of the importance of preventive maintenance so that speed boat conditions are maintained and operational activities run smoothly.

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

Based on the current existing conditions, Perumnas IV frequently experiences challenges in both the maintenance of its facilities and infrastructure and the perception of its residents. This study aims to: 1) Determine the morphology and typology of the Perumnas IV Padang Bulan area, 2) Determine the level of feasibility of the infrastructure based on SNI 03-1733-2004, and 3) Determine public perception of the infrastructure based on existing conditions and research analysis results. The research method used by the author in this study is a mixed method using an Explanatory Sequential Design approach and a comparative approach. The difference in feasibility percentages between SNI and public perceptions explains that residents have become accustomed to living with the existing facilities and infrastructure, so that the suitability between existing conditions and applicable technical requirements is not a problem in daily life.

Road improvement projects require consistency between technical planning documents and field implementation to ensure that service quality, structural performance, construction time, and user safety are achieved. This article evaluates the conformity between planning and realization in the Pangkalan-Batas Jambi road improvement project in Rawas Ulu District, North Musi Rawas Regency. The study used a descriptive-quantitative evaluative approach based on field monitoring, project technical documents, comparative quantity analysis between contract and Contract Change Order (CCO), and identification of implementation constraints. The results showed that several work items changed during construction because initial planning data did not fully capture actual field conditions. Quantities increased for drainage excavation (+18.87%), roadbed preparation (+8.99%), aggregate class A base course (+12.51%), and AC-Base (+11.98%). Conversely, reinforced pipe culverts decreased (-58.33%), unsealed aggregate base/sirtu decreased (-43.50%), and tack/prime coat volume slightly decreased (-0.47%). The time schedule showed a minor delay of -0.13% in the first week but recovered in the second week, indicating effective field coordination. Main constraints included traffic interference, limited worker visibility, and equipment visibility. The study recommends more detailed site surveys during planning, stronger traffic management, stricter occupational safety implementation, systematic progress control, and routine post-construction maintenance to maintain road service life.

Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

Stroke is a neurological condition caused by disruption of blood flow to the brain due to blockage or rupture of blood vessels, leading to nerve cell death. WHO (2022) recorded more than 12 million new stroke cases annually, with a prevalence in Brebes Regency reaching 27.83 per mil. The high incidence of stroke accompanied by physical mobility impairment and the family's lack of knowledge about its management highlights the importance of comprehensive family nursing care. This study aims to apply a complete nursing care process including assessment, diagnosis, intervention, implementation, and evaluation to the family of Mr. K with a stroke case. The method used is descriptive with a case study approach through family nursing care. Assessment findings revealed that the patient had experienced stroke for approximately 7 years with a history of hypertension, weakness of the right extremities, decreased muscle strength, blood pressure of 160/90 mmHg, and the family did not understand how to care for stroke at home. Two nursing diagnoses were established: ineffective health maintenance in the family and impaired physical mobility. Interventions included health education about stroke, Range of Motion (ROM) exercises, and rubber ball grip therapy involving the family as caregivers. After 2 days of implementation, both nursing diagnoses were resolved: ineffective health maintenance in the family was resolved and impaired physical mobility was resolved.

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

This study examines the effect of workload and work-life balance on employee performance through job satisfaction among working master’s students in Jakarta. This population faces dual demands from professional and academic responsibilities, making the maintenance of job satisfaction and performance increasingly challenging. Drawing on the Job Demands-Resources (JD-R) Model and Social Exchange Theory, this study investigates how job demands and resources influence employee outcomes. A quantitative causal approach was employed using data from 57 working master’s students collected through convenience sampling. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS 4. The results show that workload negatively and significantly affects job satisfaction but has no significant direct effect on employee performance. In contrast, work-life balance positively and significantly affects both job satisfaction and employee performance. Job satisfaction positively affects employee performance and fully mediates the relationship between workload and employee performance, while partially mediating the relationship between work-life balance and employee performance. These findings support the JD-R Model and Social Exchange Theory by highlighting the role of job satisfaction as a mechanism linking work conditions and employee performance. Practically, organizations and higher education institutions should support work-life balance and manage workload effectively to enhance satisfaction and performance among working postgraduate students.

XYZ is a manufacturing company engaged in steel pipe production. In the production process of non-American Petroleum Institute (API) steel pipes, the company still experiences various types of waste, resulting in an inefficient production process. The identified wastes include defects, waiting, transportation, and non-value-added activities, which contribute to increased production time and reduced productivity. This study aims to analyze the major wastes occurring in the non-API steel pipe production process and propose improvements using the Lean Manufacturing approach. The methods employed in this study include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), Process Activity Mapping (PAM), and Failure Mode and Effect Analysis (FMEA). Data were collected through direct observation, interviews, and documentation of the production process. The results indicate that the dominant wastes affecting the production process are defects, waiting, and transportation. PAM analysis shows that non-value-added activities remain relatively high, leading to production time inefficiencies. Based on the FMEA results, the main causes of waste are machine conditions, work methods, and operator skills. Proposed improvements include periodic machine maintenance, production quality control, work method improvement, and the optimization of material flow.

Dredger operations in water-based mining areas have a high occupational risk because they involve a combination of wet environments, mechanical equipment, and electrical systems. The presence of electrical panels, power cables, terminal connections, electric motors, inverters/drives, and protection components on the Dredger requires a sound understanding of Occupational Health and Safety, particularly electrical safety. Water splashes, wet walking surfaces, high humidity, and improper procedures during inspection or cleaning may increase the risk of short circuits, protection trips, and electric shock. Therefore, structured basic safety training is required so that operators are able to identify electrical hazards and implement safe working procedures. This activity aimed to improve operators’ understanding of hazardous electrical components, initial safety briefing procedures, measurement practice and safe handling during trips or short-circuit indications, and the correct and safe use of water pumps for unit cleaning. The activity was carried out through field observation, technical briefing, direct demonstration on the electrical panel and work area, simple measurement practice, and safe cleaning practice. The results indicate that field documentation can serve as an effective learning medium to strengthen operators’ understanding of electrical hazard sources on the Dredger, the application of simple lock out-tag out procedures, the control of wet areas, and the limitation of water spray direction during cleaning activities. Overall, the activity shows that improved compliance with safety procedures may reduce the risk of short circuits and electric shock during operation and maintenance.