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This research is motivated by challenges in monitoring and developing public services in the Malang Regional Government which require an integrated approach. Investments in human resource development and information technology are needed to increase the efficiency and effectiveness of supervision. Increasing the budget for guidance and supervision, strengthening the independence of supervisory institutions, and utilizing information technology are considered solutions to improve the quality of public services. The research method used in this research is a qualitative method with a literature study approach. This approach was chosen because it allows researchers to explore and understand the phenomenon of coaching and supervision in the context of public services through analysis of various relevant sources of information. The qualitative method focuses on an in-depth understanding of the existing context, processes and dynamics, making it suitable for studying the role of coaching and supervision in improving the quality of public services in the Malang Regional Government. Literature study as part of this qualitative method involves collecting and analyzing data from various sources such as books, academic journals, official government reports, and related policy documents. The research results show that guidance and supervision in the Malang Regional Government has an important role in improving the quality of public services. Coaching is carried out to increase the capacity and performance of state civil servants, while supervision aims to ensure employee compliance with applicable regulations. The main challenges faced are limited human and technological resources. Suggested solutions include investing in human resource development, increasing the budget for guidance and supervision, strengthening the independence of supervisory institutions, and utilizing information technology to increase the efficiency and effectiveness of supervision.

Breast cancer is a prevalent disease among women that can lead to fatalities. Using deep learning methods to detect and classify tumors can aid in the diagnostic process. Tumors can be classified as either malignant or benign, and doctors require an accurate diagnostic system to distinguish between the two. Even specialists can find it challenging to identify tumors, emphasizing the need for an automated diagnostic system for diagnosing and treating tumors. This study aims to enhance the efficiency of breast cancer diagnosis by implementing a deep convolutional neural network (DCNN). The Wisconsin Diagnostic Breast Cancer (WDBC) dataset was used in the main trials. The CNN technique utilized in this study exhibits superior performance compared to existing methods and achieves a 99.70% accuracy rate in detecting breast cancer.

In Indonesia, there are two types of motorcycle transmissions: manual and automatic. Users prefer automatic transmissions due to convenience and fuel efficiency. Automatic transmissions, such as CVT, CVT utilizes force for smooth and continuous gear ratio changes. CVT has disadvantages because unlike manual motors that have greater torque, especially on motorbikes that are three years old or more, such as poor acceleration at low to medium revolutions and wasteful fuel. This study aims to determine how the effect of adding spring plate and roller mass variations on torque and fuel consumption. This research uses a quantitative method with an experimental approach, by testing the independent variable to determine the results of the dependent variable. The result of this research is the use of lighter rollers can increase fuel consumption but the torque is getting smaller, because the use of lighter rollers has a fast rotation response so that the crankshaft in rotating the roller housing pulley is also lighter so it does not require a lot of fuel. While the use of heavier rollers coupled with spring plates also increases torque because the displacement ratio is faster, the torsional moment will be large which causes the torque to increase.

The Industrial Internet of Things (IIoT) has revolutionized industrial processes, offering automation and data-driven decision-making. However, this interconnectedness brings new security challenges, especially in crucial infrastructure sectors. Traditional security measures are inadequate, leading to the exploration of innovative solutions. Blockchain technology has emerged as a promising solution due to its decentralized and immutable nature. This paper proposes a Hybrid Blockchain-Based Authentication Mechanism for IIoT, combining Delegated Proof of Stake (DPoS) and Elliptic Curve Cryptography (ECC). The hybrid architecture utilizes public and private blockchains to ensure scalability, efficiency, and security. Lightweight consensus algorithms, DPoS, are incorporated to optimize performance, while ECC provides efficient cryptographic techniques suitable for IIoT environments. An interoperable framework facilitates seamless integration with existing infrastructure, ensuring regulatory compliance and compatibility. Decentralized identity management further enhances security and privacy. Results and analysis demonstrate the effectiveness of the proposed solution, positioning hybrid blockchain architecture as the most suitable approach for enhancing security in IIoT environments.

This article discusses the legal position of public officials in the Indonesian legal system. Public officials play a crucial role in carrying out government functions and community services. This article analyzes the legal basis governing the duties and powers of public officials, as well as the responsibilities and legal protections they have. Through a review of relevant laws and regulations, this article identifies the legal challenges faced by public officials in carrying out their duties, including issues related to corruption, abuse of authority, and accountability. Using a normative juridical approach, this article offers recommendations for strengthening the legal position of public officials in order to increase efficiency and integrity in public services in Indonesia.      

Babycom, a company specializing in the sale of imported baby sandals, faces challenges in managing its inventory due to rapid sales growth, particularly through the Tiktok Shop platform. Manual inventory management is prone to data inaccuracies, monitoring difficulties, and inefficient resource utilization. To address these issues, this research proposes the development of a web-based inventory management application using the waterfall development method. This approach is chosen for its ability to provide structured guidance from needs analysis to maintenance, tailored to the complexity of Babycom's requirements. It is anticipated that this design will offer an effective solution to inventory management issues, resulting in improved operational efficiency, data accuracy, and ease of information access for the company.

Innovation in Hajj and Umrah management through the use of social media holds significant potential to enhance service efficiency and quality. Social media platforms like Facebook, Instagram, Twitter, and WhatsApp can be used to quickly and accurately provide education and information to pilgrims. Organizers can deliver guidelines, health tips, and real-time updates about conditions in the holy land, and respond to pilgrims' questions and complaints more efficiently. This research explores how social media can be integrated into Hajj and Umrah management to improve service quality and risk management, focusing on the role of social media in education, responsiveness, and risk management. The findings indicate that social media is effective in disseminating information and enhancing interaction between organizers and pilgrims, though challenges exist in technology access gaps and the risk of spreading inaccurate information.    

PT Salmanda Jaya Utama is a franchise of Shell Indonesia which is engaged in the business of fuel oil (BBM), lubricants for industry, automotive, transportation, mini market (select). Research shows that improving abilities and skills through training will increase employee effectiveness and efficiency. And a well-structured organization can achieve optimal work results. The purpose of this study was to determine the training and organizational culture affect employee performance. The method of collecting data in preparing the thesis is the observation method, interviews, primary data with the analysis method in the form of quantitative, namely the multiple linear regression analysis method with a saturated sample technique totaling 40 employees. The results of this study state that training partially has a positive and significant effect on employee performance with a significance level of 0.008 <0.05 and a T value> T table of 2.789> 2.022. Organizational culture partially has a positive and significant effect on employee performance with a significant level of 0.000 <0.05 and the value of T count> T table of 5.528> 2.022. Training and organizational culture simultaneously have a positive and significant effect on employee performance with a value of F count> F table of 59.391> 3.24

Mobile applications trend are currently happening due to increased number of people holding smartphones. But this does not mean the end of web and desktop users. Mobile, web and desktop apps will always have its own market and users in manipulating data. The challenges for software developers are how to deliver software to all of those platforms as fast as possible. Efficiency is key in this research, that is to develop a hybrid app. Black box testing will be used in this research to make sure that efficiency is gained throughout the process compared to developing for each platforms independently. Through this research, hopefully can help software developers to develop and deliver applications for user efficiently in a short amount of time.

Effective knowledge management is crucial for maintaining competitiveness in today's digital era. PT. Pesona Edukasi, as a developer of educational software, faces challenges in managing and disseminating knowledge among their frequently mobile IT Helpdesk team. To address this, this research aims to implement a Mobile Knowledge Management System using the Rapid Application Development (RAD) approach at PT. Pesona Edukasi.The RAD method was chosen to enable rapid, flexible, and responsive application development to meet changing business and technological needs. This study includes needs analysis, system design, prototype development, and application evaluation to ensure its effectiveness in enhancing access and collaboration in knowledge dissemination throughout the company. The results of the research, following the application implementation, demonstrate a positive contribution to improving operational efficiency and IT service quality at PT. Pesona Edukasi, accelerating knowledge exchange and enhancing the productivity of the IT Helpdesk team. 

Lean Inventory Management is a systematic approach that focuses on reducing waste in the inventory management process to improve operational efficiency and reduce costs. This study aims to analyze the impact of Lean Inventory Management implementation on reducing inventory costs in manufacturing companies. This research uses a case study method in a manufacturing company that has implemented Lean Inventory Management. Data were collected through in-depth interviews, direct observation, and analysis of company documents. The analysis techniques used include descriptive and comparative analysis to measure changes in inventory costs before and after implementation. The results showed that the implementation of Lean Inventory Management succeeded in significantly reducing inventory costs. Some of the strategies implemented include the implementation of Just-In-Time (JIT), reduction of buffer inventory levels, improved coordination with suppliers, and the use of information technology for real-time inventory monitoring. In addition, the company also noted improved operational efficiency and customer satisfaction as a positive impact of implementing Lean Inventory Management. This study concludes that Lean Inventory Management is an effective approach to reduce inventory costs in manufacturing companies. Proper implementation of lean strategies can result in significant cost savings

This research analyzes the use of the Prim Algorithm in determining priority routes for package delivery by express service couriers. Through case studies, this research evaluates the efficiency of package delivery by considering delivery priority and the distance the courier will travel. The research results show that the Prim Algorithm is effective in minimizing delivery loads by connecting priority delivery points with minimal travel distance. This research method uses the Prim Algorithm to create a delivery route graph that connects all priority delivery points with a minimum travel distance, with data including the location of the delivery point, priority and distance between locations. The results show that the Prim Algorithm is effective in minimizing delivery load by generating optimal routes, allowing couriers to prioritize package delivery efficiently. This proves the important role of the Prim Algorithm in package delivery strategies for express service couriers.

In the digital era, the use of information technology in various fields, including education, is essential. Madrasah Ibtidaiyah Syamsul Huda in Jagakarsa District, South Jakarta, faces challenges in recording teacher attendance, which is still done manually, leading to issues such as data inaccuracy and difficulty in recapitulation. This research aims to design and develop a web-based attendance system using PHP, Bootstrap, CSS, HTML, and MySQL. The system is expected to improve the efficiency and accuracy of attendance recording, as well as facilitate real-time access and processing of attendance data. The research methodology includes needs analysis, system design, implementation, testing, and maintenance. The results indicate that the web-based attendance system can provide an effective solution to enhance teacher attendance management at Madrasah Ibtidaiyah Syamsul Huda.

The increasing level of urbanization is in line with the need for housing. Not only that, but also the increase in people's need for a place to live has led to an increase in land prices. The city of Medan is one of the developing cities that many people pay attention to. The development of this city has attracted many people's attention, making young investors and young business people who are part of the community who have a contemporary and instant lifestyle and lifestyle, so that the need for lodging places becomes a priority. And due to the increase in the value of existing land in the city of Medan, lodging buildings that have good land efficiency are needed, such as mid-rise and high-rise buildings. Nowadays, hotels are not just a place to stay anymore for visitors doing business or tourism. But over the times, hotels are currently used to accommodate weddings, meetings, parties, and are often also used as recreational or entertainment facilities for the community. Seeing the small number of four-star hotels in Medan City, especially in Polonia District, is the reason why additional four-star hotel buildings are needed. Therefore, from these problems, the authors feel compelled to play a role in implementing ideas, ideas, and knowledge about four-star hotels, by designing business hotels with four-star facilities using a tropical architectural approach.

The aim of this research is to examine the application of artificial intelligence (AI) technology in educational administration to increase transparency and accountability at the Garuda Khatulistiwa Education Foundation. This research uses a qualitative approach and case study method, data collected through observation, interviews and document analysis. The research results show that the application of AI at the Garuda Khatulistiwa Education Foundation in several aspects of educational administration, including student data management, financial management and teacher performance evaluation, can improve operational efficiency and more accurate reporting mechanisms. The application of AI can speed up the decision-making process and provide easier access to relevant information for all stakeholders. These findings show that the integration of AI technology not only provides a good level of transparency in the management of educational foundations but also increases accountability for the parties involved. Therefore, the application of AI can be used as a significant innovation in efforts to improve the management of education administration at the Garuda Khatulistiwa Education Foundation

This study evaluates the impact of varying clutch housing weights and centrifugal spring constants on the acceleration of automatic motorcycles with Continuously Variable Transmission (CVT). The research employed an experimental method using a Dynotest acceleration testing tool. Tests were conducted with three clutch housing weights (816 grams, 800 grams, 771 grams) and three spring constants (39.2 N/mm, 29.4 N/mm, 21.38 N/mm). Results indicated that the combination of a 771-gram clutch housing and a 21.38 N/mm spring produced the highest acceleration, reaching 13.16 m/s² at speeds of 0-5 m/s. Conversely, the combination of an 800-gram clutch housing and a 29.4 N/mm spring showed the lowest acceleration at 11.36 m/s². The appropriate combination of clutch housing weight and spring constant is crucial for achieving optimal acceleration, as the balance of centrifugal force and inertia moment affects the efficiency of power transfer from the engine to the wheels. This study recommends adjusting the spring constant when changing the clutch housing weight to achieve maximum acceleration.  

An Employee Attendance And Data Management System Based On Rfid Technology And Api Communication Has Been Successfully Developed And Tested With Satisfactory Results. The Problem Faced Is The Weakness Of Traditional Attendance Methods Which Are Susceptible To Human Error And Time Consuming, Hampering The Productivity And Effectiveness Of Company Operations. The Aim Of Developing This System Is To Increase Efficiency And Accuracy In Recording Employee Attendance. The Method Used In This Research Is The Waterfall Method, Which Includes The Stages Of Requirements Analysis, System Design, Implementation, Testing And Maintenance. At The Needs Analysis Stage, Identification And Documentation Of The Desired Attendance System Requirements Are Carried Out. The System Design Phase Involves Designing The Hardware And Software Architecture, Including The Use Of Rfid With Components Such As The Esp8266, Buzzer, And Rc522 As Well As Integration With The Server Via Api. Implementation Is Carried Out By Developing Hardware And Software According To The Design That Has Been Created. Testing Is Carried Out On Hardware Components To Ensure Function According To Specifications And Hardware-Software Integration To Ensure Smooth Communication Without Delays Or Loss Of Data. Business Logic Testing Ensures The System Detects Absences And Performs Automatic Salary Deductions According To Company Policy. The Data Export Module Was Developed To Export Attendance, Member, Division And Salary Data To An Excel File With The Appropriate Format. The Results Show That The Hardware Components Function Well, Able To Read And Send Rfid Data To The Server Accurately. Hardware And Software Integration Via Api Runs Smoothly, Enabling Real-Time Two-Way Communication. Business Logic Testing Shows That The System Can Detect Employee Absences And Perform Automatic Salary Deductions With High Accuracy. The Data Export Module Proved Effective, Allowing Users To Export Data To An Excel File In An Easily Accessible Format For Further Analysis Or Reporting. The Conclusion Of This Research Is That The Employee Attendance And Data Management System Based On Rfid And Api Technology Has Been Proven To Increase Efficiency And Accuracy In The Employee Attendance And Attendance Management Process. This System Offers A Modern And Effective Solution Compared To Traditional Attendance Methods, Providing Significant Flexibility And Ease Of Access. The Implementation Of This Technology Makes An Important Contribution In The Field Of Human Resource Management, Optimizing Productivity And Operational Effectiveness Of The Company.

PT Aaron Innovation is a company that focuses on marketing yummys mother and child products, such as breast milk, maternity food, and baby skincare. With the wider reach of consumers through the TikTok platform, the company faces the challenge of increasing product return rates. This study aims to optimize the product return process at PT Aaron Innovation by identifying and implementing strategies that can increase operational efficiency, reduce costs, speed up and improve the accuracy of return handling, and increase customer satisfaction. This study uses a descriptive qualitative approach with a survey method, collecting data through direct observation and interviews with sources. The results showed that the current returns system is not optimal, with ineffective SOPs and a lack of special areas for returns handling, causing delays and irregularities in handling returned products.

This research aims to analyze the influence of AI Chat GPT in completing practicum reports by students of the Informatics Engineering Study Program at Muhammadiyah University of Ponorogo. The background to this research is based on the increasingly rapid development of AI technology, offering various conveniences in various fields, including education. The aim of the research is to analyze the extent to which Chat GPT influences students' ability to prepare practical reports effectively and efficiently. The research method used is a quantitative method by collecting data through a questionnaire using a Google form which was distributed to active students of the Informatics Engineering study program at Muhammadiyah University of Ponorogo. The results of this research show that Chat GPT significantly increases students' understanding of practical material, helps students solve problems encountered in preparing reports, and reduces the time needed to complete reports. The implication of this research is the importance of integrating AI technology in the learning process to increase student academic effectiveness and efficiency. However, appropriate policies are needed to avoid excessive dependence on this technology.  

This article explores the application of blockchain technology to enhance ethical operations in the food industry. Blockchain is viewed as a potential solution for improving transparency, accountability, and efficiency in the food supply chain. This technology enables the recording of transactions that are immutable and publicly verifiable, reducing the likelihood of fraud and product contamination. Additionally, blockchain can support compliance with ethical and sustainability standards, helping companies build trust with consumers. The study suggests that further research is needed to explore various aspects of blockchain application in the food industry, such as sustainable finance, digital forensics, and supply chain management. However, the article is limited by its focus on bibliometric analysis and lacks empirical data on blockchain implementation in the food industry. Future research should combine theoretical and practical approaches to provide a comprehensive view of blockchain's use in ethical and sustainable business operations.