bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Regulator for Linear Stochastic Systems with Multiple State-Delay
Authors:   University of Liverpool, Reino Unido, Alasmi Nuha , Gashi Bujar ,   University of Liverpool, Reino Unido
Published: January 2025

We consider an optimal control problem for linear stochastic systems with multiple state delays. By formulating a general quadratic-linear cost functional, we provide an explicit solution involving coupled Riccati and partial differential equations. The derived optimal control law is in an affine feedback form with respect to the current state, the delayed state, and the integral of past state values. Additionally, we demonstrate the application of this solution to an optimal investment problem with logarithmic utility in market with interest rate influenced by a multi-delayed factor process.
Estimation of Photoacustic Signals Using Subspace Identification
Authors:   Universidad Nacional Autónoma de México, México, Ramírez-Chavarría Roberto Giovanni , Ginez-Alvarez Adrian ,   Universidad Nacional Autónoma de México, México, Pérez-Pacheco Argelia ,   Unidad de Investigación y Desarrollo Tecnológico, Hospital General de México, México
Published: January 2025

This work presents a new estimation scheme for photoacoustic signals and the absorption profiles associated with these signals, based on a discrete linear time-invariant state-space model of the Stokes’ equation, which describes the propagation of ultrasound waves in acoustic attenuating media. Parameter estimation is performed using the N4SID method for subspace identification, taking advantage of discrete model properties. In addition, the gradient descent and regularization method is used to improve parameter estimation. The simulation results validate the scope of the proposed scheme.
An Accelerated Parameter Identification Algorithm for Linear Regression Systems
Authors:   Tecnológico Nacional de México La Laguna, México, Ríos Héctor , Efimov Denis ,   Université de Lille, Francia, Ushirobira Rosane ,   Université de Lille, Francia
Published: January 2025

In this paper, a parameter identification algorithm is proposed for linear regression systems with constant unknown parameters. Such an algorithm is composed of an accelerated version of the heavy–ball method and a modified extension of Kreisselmeier’s filters and can identify constant parameters in a finite time under a persistent excitation condition. The workability of the proposed algorithm is depicted by simulation results.
An output-feedback homogeneous controller: robustness analysis and experiment
Authors:   Instituto Potosino de Investigación Científica y Tecnológica A.C., México, Sanchez Tonametl , Qui-Martin Javier A. ,   Instituto Potosino de Investigación Científica y Tecnológica A.C., México
Published: January 2025

In this paper we consider an output-feedback homogeneous controller for a class of second order nonlinear systems subject to model uncertainties. We prove that, despite the uncertainty, the controller drives the trajectories of the system to the origin in finite time. The theoretical developments are tested in an electronic experimental set up.
A new robust indirect adaptive control for torque-driven robot manipulators under relaxed excitation conditions
Authors:   Tecnológico Nacional de México, La Laguna, México, Cervantes-Pérez Luis , Santibáñez Víctor ,   Tecnológico Nacional de México, La Laguna, México, Sandoval Jesús ,   Tecnológico Nacional de México, La Paz, México
Published: January 2025

This paper presents a new robust adaptive joint position trajectory tracking control for torque-driven robot manipulators using a novel parameter identification scheme. The novelty of this identification scheme is that ensures convergence of the true parameters exponentially, even when the regressor do not verify the stringent condition of persistent excitation, using a classical normalized gradient descendent adaptive law. An indirect adaptive controller approach is used to combine the identification scheme with a robust model based GES controller to verify joint position trajectory tracking control objectives under constant disturbances. The validity of our claims are illustrated with simulations of a two degrees-offreedom robot manipulator.
Trajectory Tracking of a Youla Parameterization Control for an Electric Machine
Authors:   Universidad Tecnológica de la Mixteca, México, Vázquez S. Luis , Arias-Montiel Manuel ,   Universidad Tecnológica de la Mixteca, México, Adam-Medina Manuel ,   Tecnológico Nacional de México, México
Published: January 2025

This article describes a methodology for controller design, Youla-Kucera Parameterization is used for this purpose. The controller is designed for an electric machine, taking into account its sensitivity functions which must be stable and proper to ensure better behavior in the control loop, using a DC motor will allow us to observe the behavior of the controller in smooth and disturbances in the system. It will be possible to have a control that, in addition to making estimates of the states, will allow for a more robust control. The main steps of this resulting methodology are: mathematical design, experimentation and of course the results, which will allow the performance of the technique to be evaluated.
Proportional-Integral Control for a Water Supply System Prototype Using the IoT Platform Node-RED
Authors:   Universidad Autónoma de Baja California, México, Avilés Jesús David , Miranda Rafael ,   Universidad Autónoma de Baja California, México, Flores-Resendiz Juan Francisco ,   Universidad Autónoma de Baja California, México, Márquez Claudia Lizeth ,   Universidad Autónoma de Baja California, México, Martinez Clark Rigoberto ,   Universidad Autónoma de Baja California, México, Becerra-Núñez Guillermo ,   Universidad Autónoma de Baja California, México, Mujica-Ortega Hoover ,   Universidad Autónoma de Baja California, México, Morales Valdez Jesús ,   Universidad Autónoma de Baja California, México
Published: January 2025

In our days, there is a set of problems associated with water scarcity due to its vital importance for humans, as it is related to most of our domestic activities, hygiene, production chains, etc. This situation worsens if we consider technical problems in distribution as leaks as a result of lack of maintenance and aging of infrastructure. Motivated by the issues with the hydraulic distribution network in the city of Tecate, Baja California, Mexico, a prototype was built in order to emulate its operation and validate proposed control schemes as an alternative to the current manual management. The prototype has been built integrating a series of industrial sensors and actuators to truly provide the features of a real application to ease the implementation in a real scenario, using the IoT platform Node-RED. This paper describes a PI-IoT proposed control system for regulating the level of a tank by means of an analog valve. In the real system, these elements are indeed separated by a distance of 4.5 km, which implies the use of a real time communication channel to effectively regulate the level. The performance of the proposed scheme is validated by real time experiments.
Effects of Commercial Sex Work on Marital Breakdown in Wukari Metropolis, Taraba State: Counselling Implications and Interventions
Authors: Fadahunsi John A. , Adiele Sunday , Stephen Mathew
Published: January 2025

This study examined the effects of commercial sex work on marital breakdown in Wukari Metropolis, Taraba State: counselling implications and interventions. The objective of the study was to the ascertain the prevalence of commercial sex workers, identify factors that contribute to the prevalence of commercial sex workers and determine the effect of commercial sex workers (CWS) on marital breakdown in Wukari Metropolis, Taraba State and its implications for counselling.  The research design adopted for the study was descriptive survey research design 400 respondents was selected through the use of multistage sampling technique. Data for the study was collected through the use of structured questionnaire and oral interview. Respondents responses was analyzed through the use of mean while Chi-square inferential statistics was used to test hypotheses for the study. Additionally, interview replies were analyzed using content analysis. Findings from the study revealed that there is prevalence of commercial sex work activities in Wukari Metropolis. Further findings from the study revealed that poverty is the most significant factor contributing to the prevalence of commercial sex workers. The study recommends that counselling programs should integrate marital counseling and should be made more accessible to individuals and couples affected by commercial sex work.
Kisi-kisi Soal dan Analisis dalam Evaluasi Pendidikan
Authors: Azhar Dzul , Hasan Ismail , K Mahmud Darul , Amin Ahmad Yasir Al , Ridho Ahmad Rasyid
Published: January 2025

Evaluation activities in the world of education are an integral component in the learning program in addition to the learning plan (curriculum), learning objectives, forms of learning, learning methods (methods), and learning tools (media), and learning methods. This study aims to determine the function of the question grid. This study uses a qualitative approach, namely research conducted by observing the surrounding phenomena and analyzing them using scientific logic. This study also uses a descriptive method, namely research that attempts to describe the actual conditions in the field purely as they are in accordance with the context of the study. The conclusion of this paper is that the question grid must be made in the right way, but many teachers in making question grids are still far from perfect due to several factors including: Teachers still do not understand how to choose the right Basic Competencies. Many indicators contain material that should not be there. Evaluation in Education at least covers three things, namely; learning program design, program implementation, and the results achieved.
Penerapan Model Pendidikan Multikultural dalam Meningkatkan Toleransi dan Kesadaran Siswa di Sekolah
Authors: Ramadhan Maratu Naja , Albina Meyniar
Published: January 2025

Multicultural education is a crucial component in creating an inclusive learning environment in Indonesia, a nation renowned for its cultural diversity. This study aims to identify multicultural education models implemented in schools, supporting factors, and obstacles in their implementation. The research employs a qualitative method with a library research approach, gathering data from various books and journal sources. The findings reveal that multicultural education models include curriculum revision, reforming learning systems, and integrating multicultural values into school activities. Supporting factors for success include a positive school climate, an inclusive curriculum, and active roles of teachers. Conversely, challenges faced include ineffective communication among students, a lack of educational media, and limited socialization outside the classroom. This study concludes that by addressing these barriers, multicultural education can make a more significant contribution to building a tolerant and respectful society.
Assets Accounting Systems: A Literature Review
Authors: Damayanti Ghusny , Hazmi Yusri , Ocha Rachman Vanessa , Vebriyanti Riska
Published: January 2025

The inventory accounting system can be done in two ways, namely manually and with a computerized system. Inventory accounting system manually and by method physically counts the goods in the warehouse and then makes a report on the remaining inventory. while the inventory accounting system is computerized so the recording is carried out by entering data on goods that have been sold and goods that have been purchased into the computer system, then the computer will automatically reduce the inventory data available with data on goods that have been sold. The inventory accounting system aims to record mutations for each type of inventory stored in the warehouse. This system is closely related to the sales system, sales returns system, purchasing system, purchase returns system, and production cost accounting system. Inventory of finished products Accounting System Transactions Relevant Systems and Procedures Finished products produced Sales returns Procedure for recording the cost of finished products Procedure for recording the cost of finished products sold Procedure for recording the cost of finished products received back from buyer’s Physical inventory counting system Physical inventory count.
The Impact of Diversity and Inclusion Policies and Anti-Discrimination Training on Employee Commitment and Productivity in Multinational Companies in Central Java
Authors: Sowaha Duha Rendi Mark , Gilaa Thitus
Published: January 2025

This study examines the impact of diversity and inclusion (D&I) policies and anti-discrimination training on employee commitment and productivity in multinational companies located in Central Java. Using a quantitative approach, data were collected from 120 employees through a structured questionnaire, with responses measured on a 5-point Likert scale. Structural Equation Modeling-Partial Least Squares (SEM-PLS 3) was employed to analyze the relationships between the variables. The findings indicate that both D&I policies and anti-discrimination training have significant positive effects on employee commitment and productivity. The results suggest that fostering an inclusive and supportive workplace through effective policies and training programs enhances employee loyalty, motivation, and job performance, ultimately benefiting the organization. These insights offer practical recommendations for human resource management in multinational companies seeking to optimize their workforce management strategies.
The Effect of Risk Management, Technological Innovation, and Human Resources Quality on Construction Project Performance in Jakarta Case Study on Government Infrastructure Projects
Authors: Judijanto Loso , Sudarmanto Eko , Gilaa Thitus
Published: January 2025

This study examines the effect of risk management, technological innovation, and human resource quality on the performance of government infrastructure construction projects in Jakarta. Using a quantitative research design, data were collected from 70 key personnel involved in these projects. The data were analyzed using SPSS version 26, with multiple regression and correlation analysis employed to test the relationships between the variables. The results indicate that all three factors – risk management, technological innovation, and human resource quality – significantly and positively influence project performance. Human resource quality had the strongest effect, followed by risk management and technological innovation. These findings suggest that improving these factors can enhance the success of large-scale government infrastructure projects in Jakarta, providing valuable insights for construction managers and policymakers.
The Effect of Financial Performance, Risk, and Liquidity on Firm Value in the Manufacturing Industry Sector in Indonesia
Authors: Firdaus Dian , Sudarmanto Eko , Hamzah Risna Amalia
Published: January 2025

This study investigates the effect of financial performance, risk, and liquidity on firm value in the manufacturing sector in Indonesia. Using a sample of 60 manufacturing companies listed on the Indonesia Stock Exchange, the research employs a quantitative approach with data analyzed through SPSS version 26. Financial performance was measured by Return on Assets (ROA), risk by Debt-to-Equity Ratio, and liquidity by Current Ratio. The Price-to-Book Ratio represented firm value. The results reveal that financial performance and liquidity have a significant positive effect on firm value, while risk has a negative effect. These findings suggest that manufacturing companies in Indonesia can enhance their market value by improving profitability and liquidity while effectively managing financial risk.
Bibliometric Analysis of Human Capital Research: Focus on Talent Management and Organizational Performance
Authors: Judijanto Loso , Fikri Maiza , Sihite Mislan
Published: January 2025

This bibliometric analysis explores the evolving landscape of talent management research and its impact on organizational performance, utilizing data from major academic databases. By constructing a network of co-authorship and analyzing the density of research topics, the study identifies key themes and trends, as well as principal researchers and their collaborative patterns. The core areas of focus include talent development, employee engagement, and the strategic role of leadership in enhancing organizational outcomes. The study highlights the increasing emphasis on sustainable organizational performance and innovation, reflecting the growing integration of these concepts within talent management strategies. The findings offer valuable insights into the dynamic field of talent management, providing a robust foundation for future research and practical applications in both academic and corporate settings.
Analysis of Accounts Receivable System in Accounting
Authors: Pasaribu Nuraeni , Hazmi Yusri , Andriani Ririn , Anbia Teuku Furqan
Published: January 2025

Companies often have difficulty collecting receivables from customers. If the internal control system  is not implemented clearly and firmly, this will have an impact on the accumulation of receivables. Often receivables that are difficult to collect have a risk of uncollectible receivables which have an impact on reducing profits or profits. The method used in writing this article is library research, namely a method of collecting data by understanding and studying theories from various literature  related to the research. The type of data used in this research is secondary data, namely data that comes from the results of existing data publications
The Relationship between Work Environment and Employee Development Program to Productivity and Job Satisfaction in the Manufacturing Industry in West Java
Authors: Budi Utama Ahmad Nur , Ady DJ Arifhan , Sekamdo Muhammad Aga
Published: January 2025

This study investigates the relationship between the work environment and employee development programs on productivity and job satisfaction in the manufacturing industry in West Java. A quantitative approach was employed, with data collected from 100 employees using a Likert scale of 1 to 5. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results reveal that both the work environment and employee development programs have significant positive effects on productivity and job satisfaction. These findings underscore the importance of creating a supportive work environment and offering continuous development opportunities to enhance employee performance and satisfaction. This study provides practical insights for managers in the manufacturing sector on improving workplace conditions and development programs to drive better outcomes.
Analysis of the Impact of Legal Socialization and Legal Awareness on Reporting Compliance of Child Abuse Cases in Jakarta
Authors: Lubis Arief Fahmi , Lusianawati Hayu
Published: January 2025

This study examines the impact of legal socialization and legal awareness on reporting compliance in cases of violence against children in Jakarta. Using a quantitative approach, data were collected from 60 respondents involved in child protection, law enforcement, and community services. A structured questionnaire with a Likert scale (1-5) was utilized to measure the variables, and the data were analyzed using SPSS version 26. The results show a significant positive relationship between legal socialization, legal awareness, and reporting compliance, with legal awareness having a slightly stronger influence. The findings suggest that enhancing legal education and awareness efforts can improve reporting compliance and strengthen child protection mechanisms. These results provide valuable insights for policymakers and child protection agencies in Jakarta, highlighting the need for targeted interventions to increase the reporting of child violence cases.
Step Into the Free and Infinite Laboratory of the Mind
Authors: Finn Ed
Published: January 2025

Science fiction is one of the best tools we have for staging inclusive, engaging conversations about science and technology policy. How can we make better use of it?
How Some Universities Translate Inclusive Innovation into Regional Growth
Authors: Delgado Mercedes , Murray Fiona
Published: January 2025

Positioning universities as hubs of inclusive innovation, particularly in less inventive places, can shift local workforce demographics and accelerate growth.
Addressing Labour Ergonomics through Automation in Oil Palm Plantation Activities: A Necessity for Sustainable Agriculture
Authors: Mohd Nor Azuwir , Saad Mohd Sazli , Baharudin Mohamad Ezral , Zakaria Mohd Zakimi
Published: January 2025

A key element of the potential of robotics is understanding how effective automation can improve labour-intensive jobs while also considering worker ergonomics. These sectors often depend on manual labour, which exposes employees to considerable ergonomic stress, especially musculoskeletal disorders (MSDs) that can result from repetitive and physically demanding activities like harvesting, pruning, and lifting heavy items. By coordinating automation tools such as harvesters, unloaders, and driverless carts with the various manual tasks that workers perform, we can significantly lower safety risks. The main objective of introducing automation is to reduce the physical strain on workers, which not only aims to alleviate MSD-related health problems but also helps to lessen worker fatigue. Effectively integrating artificial intelligence (AI) and big data analytics will improve workforce efficiency, making the Brightfield industry stronger. Transitioning from manual tasks to automated solutions is just the initial step toward enhancing production in this field. By tackling these ergonomic issues through automation, this paper highlights the dual advantages of promoting worker health and increasing productivity in the industry
Smart Wearables in Ergonomic Applications: Recent Advances and Challenges in Human-Machine Integration.
Authors: Hilmi Ahmad Humaizi , Abdul Hamid Asna Rasyidah , Wan Ibrahim Wan Abdul Rahman Assyahid
Published: January 2025

Smart wearables have become increasingly integral to ergonomic applications, particularly in healthcare, industrial work, and rehabilitation. These technologies offer significant benefits in enhancing human performance, reducing the risk of injury, and improving user comfort. Exoskeletons, one of the key smart wearable technologies, have seen widespread adoption in industrial settings, assisting workers in physically demanding tasks by alleviating muscle strain and promoting ergonomic posture. The application of machine learning within these wearables further enhances their adaptability, allowing for personalized support based on real-time feedback. In healthcare, wearable sensors provide critical insights into physiological and postural data, enabling continuous monitoring that supports long-term health and rehabilitation efforts. These wearables can track muscle activity, heart rate, and other vital signs, improving patient outcomes through ergonomic design that minimizes discomfort. In addition, soft robotic suits and passive exoskeletons have been developed to assist in mobility rehabilitation, offering a blend of comfort and functionality. Despite these advancements, challenges remain. Smart wearables must balance functionality with comfort, especially as many devices can be bulky or restrictive. The integration of artificial intelligence and machine learning offers solutions to some of these challenges, enabling wearables to adapt dynamically to user needs. However, technical issues such as data processing, sensor accuracy, and battery life continue to limit their widespread adoption. Future developments must focus on miniaturization, energy efficiency, and user adaptability to overcome these barriers, ensuring that smart wearables are both effective and practical for diverse ergonomic applications.
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Evaluation of the Provision of Construction Support Through Business Entities (Case Study: Terbanggi Besar Kayu Agung Toll Road)
Authors: Cahyaning Putri Hera , Mahani Iris , Hasiholan Budi
Published: January 2025

Generally, construction support is provided directly by the government, but in this case, the government provides construction support through other toll road business entities. The provision of construction support through toll road business entities on the Terbanggi Besar – Pematang Panggang – Kayu Agung Toll Road has financially increased the investment feasibility parameters, including an increase in the IRR value to 12% from the original 9.36% before the provision of construction support; The NPV value with the provision of construction support has a better NPV value, which is Rp. 3,875 T compared to the NPV value without construction support of - Rp. 2,044 T; The value of the payback period without the provision of construction support is 22 years and 3 months and with the provision of construction support for 19 years and 5 months. However, in the implementation process, the quality of toll road infrastructure at construction support locations is not met, resulting in business entities still having to participate in bearing quality risks to construction work carried out by the government. Business entities receiving construction support must bear maintenance costs due to repairs to damage to the construction support site. However, the increase in maintenance costs, in general, did not have a significant effect on the investment feasibility parameters of the Terbanggi Besar – Pematang Panggang – Kayu Agung toll road project. The increase in maintenance costs affected the decrease in IRR by 1.4%. The NPV indicator also decreased by Rp. 198 billion or 5.1%. The payback period has also increased from 19 years and 5 months to 19 years and 8 months. However, the mechanism for providing construction support through business entities needs to be considered to ensure that the benefits of providing construction support can be felt to the maximum.
Potential of Kirinyuh Leaf Extract (Chromolaena odorata L) in Controlling Ajeran Weed (Bidens Pilosa L) and Eleusine Indica L
Authors: Zumani Darul , Ayu Wijayanti Titi
Published: January 2025

Kirinyuh (Chromolaena odorata L.)  It contains tannins, steroids, phenols, and other compounds that can inhibit the growth of other plants around it, so it can be used as a vegetable herbicide. This study aims to determine the concentration of kirinyuh leaf extract that is effective in controlling ajeran weed (Bidens pilosa L.) and bone grass (Eleusine indica L.) research was conducted in the experimental garden of the Faculty of Agriculture, Siliwangi University. This study uses a group random design (RAK) with 5 replicates. The treatment consisted of 0%, 10%, 20%, 30%, and 40% kirinyuh leaf extract concentrations. The results showed that the concentration treatment of kirinyuh leaf extract was effective in suppressing the growth of ajeran weed (Bidens pilosa L.) and bone grass (Eleusine indica L.)
Implementation of Madhava Creative Startup Digital Public Relations Activities in Shaping Brand Image in Balinese Society
Authors: Bella Ahrens Sarah
Published: January 2025

COVID-19 is a virus that spreads throughout Indonesia and creates various obstacles in today's business world. In this study, the author discusses the implementation of public relations activities for the creative startup Madhava in shaping the brand image in Balinese society. The purpose of this study was to determine the digital advertising activities of the creative startup Madhava in shaping the brand image in Balinese society. The theory used is the elaboration likelihood theory. This theory is used in this study because it deals with the ways in which people are expected to process persuasive messages given by companies. The elaboration likelihood theory theory is supported by digital advertising activities, namely publicity and events to find out digital advertising activities carried out by the management of Madhava creative startups in shaping brand image in Balinese society.
Legal Protection for Consumers in Transations E-Commerce by Era Digital
Authors: Musmualim Musmualim , Fuad Fokky , Suartini Suartini
Published: January 2025

The rapid development of information and communication technology (ICT) has brought significant changes in various aspects of life, including in the world of commerce in the form of e-commerce. Although e-commerce offers many conveniences and advantages, it also presents multiple risks and potential law violations for consumers. This study aims to analyze the legal framework that regulates consumer protection in e-commerce transac-tions in Indonesia. This research uses a normative juridical method. The data was collect-ed through a literature review of legal literature, laws and regulations related to e-commerce, and recent research reports highlighting consumer protection issues. The data collected will be analyzed qualitatively. The results of the study show that legal protection for consumers in e-commerce transactions in the digital era is regulated in Law Number 8 of 1999 concerning Consumer Protection. Consumer protection includes effective dispute resolution mechanisms, such as mediation or arbitration, as well as legal procedures if necessary. This aims to ensure that consumers have fair and fast access to resolving is-sues with manufacturers or service providers. Efforts to strengthen legal protection for consumers need to be carried out on an ongoing basis by various parties, including the government, business actors, and the community.
Business Development Strategies at PT. Jamkrida Bali Mandara to Stay Afloat Relevant in The Digital Transformation Era
Authors: Satya Dewi Putu Akila Chandra , Lestari Ni Putu Nina Eka
Published: January 2025

This research aims to analyze the implementation of strategic management in the context of digital transformation at PT Jamkrida Bali Mandara, hereinafter referred to as JBM, and its impact on the business model used. With the rapid development of technology, financial institutions such as Jamkrida are faced with the challenge to adapt and innovate in providing services. The method used includes qualitative analysis through interviews and surveys to employees and customers. The results show that the integration of digital transformation not only improves operational efficiency, but also strengthens relationships with customers through more responsive and personalized services. In addition, the use of Business Model Canvas as an analytical tool helps in formulating a more comprehensive strategy, which includes aspects of value proposition, customer segments, and distribution channels. This research provides recommendations for Jamkrida to continue developing technology-based strategies to create a more inclusive and sustainable financial ecosystem.
Factors That Can Determine The Performance Of Intelligence Members At The Strategic Intelligence Agency TNI
Authors: Biantoro Sony Krisnu , Kusumastuti Retno
Published: January 2025

Changes in the global and national political order are influenced by the national interests of each country, which have been sharpened by the war in Ukraine. This broadens the concept of security from military dominance to information and intelligence control, and introduces new forms of threats such as asymmetric, hybrid, cyber and proxy warfare. Indonesia, with its abundant natural resources, plays a strategic role in this dynamic, but faces significant challenges in the shortage of specially qualified intelligence personnel. Of the 48 intelligence members who carry out Counterintelligence operations, only some have advanced education and experience, as well as adequate counterintelligence qualifications. This research uses SWOT and Fishbone analysis to identify the factors that determine the performance of intelligence personnel, as well as finding strategies and root causes that affect the effectiveness of intelligence operations in Indonesia. The aim is to improve the performance and management of strategic intelligence through enhancing the education, experience, and qualifications of intelligence personnel.
Enhancing Commitment to Change The Role of Perceived Supervisor Support and Self Efficacy
Authors: Sungkawaningtyas Meilina , Sumaryono Sumaryono , Wulandaru Diah Retno
Published: January 2025

The relationship between perceived supervisor support and self-efficacy with acceptance of change has been commonly studied, but no one has examined the relationship between perceived supervisor support and self-efficacy on commitment to change especially on the implementation of change policies of government organisations in Indonesia. This study presents the findings of an investigation into the moderating role of self-efficacy in the relationship between perceived supervisor support and affective, continuance, and normative commitment to change. This research is specifically necessary within the framework of executing organizational change policies in government organizations in Indonesia. A survey was administered to 255 workers of a public sector organization who were undergoing a reform program. The analysis of structural equation modeling indicated a favourable association between perceived supervisor support and affective and normative commitment to change. Therefore, the connection between how employees view their supervisor's support and their affective and normative commitment to change depends on their belief in their own ability to succeed.
Content Distribution Analysis on Gibran Rakabuming Raka’s SGIE Questions in Indonesia’s 2024 Election Debate
Authors: Habsari Almira Kusumowardani , Pandutama Alfa , Hidayat Muhammad Alviansyah
Published: January 2025

The 2024 general election in Indonesia has seen a significant increase in social media usage, especially in response to the candidates' debates. In this study, Gibran Rakabuming as one of Indonesia's vice-presidential candidates became a hot issue in asking the State of the Global Islamic Economy (SGIE) question at the debate which became an important indicator of public interest and sentiment. This research uses content distribution theory analysis to understand the implications of social media use on political campaigns and how political content is disseminated and responded to by other social media users. The results of this study show that the use of social media in response to SGIE responses strengthens positions and relationships with voters.
The Role of Learning Motivation in The Relationship Between Maudhu Usbu'i and Multimedia-Based Learning in Majapahit Islamic Technology Boarding School, Mojokerto
Authors: Aindalloh Syeh , Soepriyanto Yerry , Fajariyanto Otto
Published: January 2025

Education is a series of programmed learning experiences in the form of both formal and non-formal education, taking place within and outside of schools, and lasting a lifetime. Its purpose is to optimize individuals' abilities so that they can play an appropriate role in life later on. Education within the pesantren (Islamic boarding school) environment has unique characteristics that differentiate it from other educational institutions. In this context, multimedia-based learning has become increasingly relevant for enhancing the effectiveness and appeal of the teaching and learning process. A key factor influencing the success of learning is students' learning motivation. Motivation functions as a driving force that can increase engagement and learning outcomes. This study employed a quantitative approach with a quasi-experimental research design, using a simple random sampling method for the sample selection. Data analysis techniques included descriptive tests, normality tests, homogeneity tests, and two-way ANOVA tests. The research findings indicate that motivation plays a significant role, that both maudhu’usbu’i learning and multimedia have a significant impact, and that the interaction between these two factors also has a significant.
Penerapan Model Pembelajaran Discovery Learning dalam Meningkatkan Keterampilan Proses Sains Peserta Didik Sekolah Dasar Kabupaten Madiun
Authors: Setiawati Pipit , Mersina Mursidik Elly’s , Sujianti Reni
Published: January 2025

Science process skills are skills used by scientists in forming knowledge in solving problems. KPS itself can be improved using the Discovery learning model, a learning method that requires teachers to be more creative in creating situations that encourage students to actively learn and discover their own knowledge. The research method used is classroom action research (CAR) through three stages, namely pre-cycle, cycle I, and cycle II. The research subjects came from 14 fourth grade students. This study used data collection techniques using written tests and observations. The percentage of science process skills was 85.71%. Based on this study, it can be concluded that the use of the discovery learning model can improve students' science process skills.
Upaya Peningkatan Motivasi Belajar pada Perkuliahan Offline dan Online
Authors: Setiawan Soni , Khalid Abdullah
Published: January 2025

This research is based on the anxiety of students of the Islamic education guidance and counseling study program at Pelita Bangsa University regarding lectures conducted online and also anxiety about lectures conducted offline. From these two problems, it was found that students who undergo online lectures are anxious because of boring, sleepy, unfocused learning because of distraction from others and wasteful internet packages and network constraints. This makes learning in online lectures less effective. But on the other hand, lectures that are carried out offline are still felt to be lacking because students who experience long distances have difficulty coming to campus, are used to being online so they are lazy to go to campus, and take up time because of a lot of work at home. The author took steps to solve the problem by going through the middle path (At-Tawasuth), which is not leaning to the right and not leaning to the left, so steps were taken to increase learning motivation in offline and online lectures. The efforts made by Universitas Pelita Bangsa in taking the middle way are a combination of online and offline lectures with the method of one week offline and one week online. This is to provide justice for students who want online lectures, as well as for students who want offline lectures.
Pengembangan dan Penerapan Aplikasi Absensi Berbasis Web Menggunakan Koneksi Wi-Fi untuk Meningkatkan Akurasi Data Kehadiran di CNT Car Wash
Authors: Riswinda Azzahra Zavira , Ghoyali Sarifudin , Rom Adonie Lulu , Haryono Wasis
Published: January 2025

The paper-based manual attendance system used today causes various problems, such as low data accuracy, manipulation of attendance time, slow data processing process, and wasteful use of resources. By switching to a web-based digital attendance system, companies can improve accuracy, efficiency, and transparency in employee attendance management. The use of this system can also reduce data input errors, speed up report processing, reduce paper use, and increase overall productivity. The application of this technology is in line with the development of digitalization that is increasingly needed by modern companies. The research methods used in this practical work report include interviews, observations, literature studies, and application development methods using the waterfall model. Through interviews with related parties, direct observation, and data support from relevant literature, the author developed a web-based digital attendance application with a systematic and sequential approach according to the waterfall method. This study results in the conclusion that the implementation of a web-based attendance system in CNT Car Wash not only increases operational productivity, but also prepares companies to compete in the digital era. By continuing to innovate and utilize technology, CNT Car Wash can optimize human resource management, provide the best service to customers, and support business sustainability in the long term.
Turn a GitHub repo into a single text file for LLM-friendly input
Authors: Turner Stephen
Published: January 2025

If you use ChatGPT, Claude, or even some local model through Ollama or HuggingFace Assistants, you’ll know that the chat interface makes it challenging to feed in an entire repo like a Python or R package, because functions, tests, etc. can be scattered across many files throughout a repo.
Expanding the before/after map creation for OpenStreetMap
Authors: Tzovaras Bastian Greshake
Published: January 2025

A small map-extract of Venado Tuerto over four time points in 2024, showing the addition of buildings and POI.

tl;dr: One can now create >2 frames in the OSM comparison GIF. And the

MyBinder

version can download

OSM history files

, no local up/downloads needed.
Bluesky conversation analysis with local and frontier LLMs with R/Tidyverse
Authors: Turner Stephen
Published: January 2025

Background

Bluesky, atrrr, local LLMs

I’ve written a few posts lately about Bluesky — first, Bluesky for Science, about Bluesky as a home for Science Twitter expats after the mass eXodus, another on using the atrrr package to expand your Bluesky network. I’ve also spent some time looking at R packages to provide an interface to Ollama.
Use R to prompt a local LLM with ollamar
Authors: Turner Stephen
Published: January 2025

I’ve been using the llama3.1:70b model just released by Meta using Ollama running on my MacBook Pro. Ollama makes it easy to talk to a locally running LLM in the terminal (ollama run llama3.1:70b) or via a familiar GUI with the open-webui Docker container. Here I’ll demonstrate using the ollamar package on CRAN to talk to an LLM running locally on my Mac.
On the qualitative analysis of the boundary value problem of the Ψ-Caputo implicit fractional pantograph differential equation
Authors: Khan Rahman Ullah , Samreen Maria , Ali Gohar , Argyros Ioannis
Published: January 2025

In this manuscript, the primary objective is to analyze a Ψ-Caputo fractional pantograph implicit differential equation using the Ψ-Caputo fractional derivative. We employ a newly developed method based on fixed-point theorems to explore the existence and uniqueness of the solution to our proposed problem. Furthermore, we investigate the stability of the proposed problem. Finally, we provide an example that illustrates the application of our newly obtained results, confirming their practical significance.
Predicting Duration of Residential Units’ Sale Using Machine Learning Techniques
Authors: Abdi Farshid , Abolmakarem Shaghayegh , Karbassi Yazdi Amir
Published: January 2025

Real estate is vital, meeting basic needs and offering solid investments. Informed investment decisions require understanding home sale factors. Estimating residential property sales time can boost rewards and decrease risks. Two steps are involved in this paradigm. Significant characteristics are identified using filter weighting and regression techniques. K-nearest Neighbour, Naïve Bayes, and Decision Trees use characteristics identified in the first stage. Determining the most efficient model requires comparing their precision. The study provides brokers with insights for improved sales forecasting and transaction management. This technique allows stakeholders to adjust their plans based on market fluctuations, potentially leading to more profitable real estate investments. This research clarifies real estate investment strategies for greater returns.
PERAM: An Efficient Readiness Assessment Model for the Banking Industry to Implement IoT – A Systematic Review and Fuzzy SWARA Methods
Authors: Zahedian Nezhad Mahmoud , Nazarian-Jashnabadi Javad , Mehraeen Mohammad , Rezazadeh Javad
Published: January 2025

Since the emergence of the IoT and its significant benefits, various economic, social, and political groups have been deploying and implementing IoT in different sectors. The large amounts of data generated from connected devices and products can be analysed, transforming the goals and attitudes of businesses and industries, including the banking industry. However, implementing IoT on a large scale in an industry as complex as banking is challenging. While the advantages and role of IoT in banking are clear and increasing with various studies, inadequate implementation of IoT can lead to potential risks and failures. This research aims to assess the banking industry's readiness for implementing IoT, specifically focusing on their IoT implementation readiness. The study identified the factors and aspects affecting the research topic using a systematic review method and classified its enablers into dimensions, components, indicators, and sub-indicators. After validating the initial model with experts, the final model revealed that 7 dimensions, 8 components, and 63 indicators influence the readiness of the banking industry to implement IoT.  To rank the main aspects of the study, the Fuzzy SWARA method was used, and the results showed the following ranking: the dimensions of hard infrastructures, soft infrastructures, supply chain infrastructures, organizational factors, environmental factors, education and users, and security and privacy ranked first to seventh, respectively. The identified dimensions, components, and indicators provide a robust model for assessing the readiness of the banking industry for IoT implementation. The findings highlight the complexity involved in implementing IoT on a large scale within the banking sector.
The Effect of Somethinc Product Review on TikTok on Brand Awarenes in Medan City
Authors: Putri Shalli Anggia , Pohan Syafruddin , Nasution Chairunnisah Rahmi
Published: January 2025

Penelitian ini meneliti bagaimana Ulasan Produk Merek Somethinc di Tiktok mempengaruhi kesadaran merek mahasiswa FISIP USU. Penelitian kuantitatif korelasional ini melibatkan 2.311 mahasiswa FISIP USU. Rumus Slovin digunakan untuk mengambil sampel sebanyak 95 orang dengan presisi 10% dan tingkat kepercayaan 90%. Pengambilan sampel secara acak bertingkat proporsional dan purposive sampling digunakan dalam penelitian ini. Kami mengumpulkan data melalui kuesioner. Para peneliti menggunakan uji validitas, reliabilitas, tabel tunggal, tabel silang, dan uji hipotesis koefisien tingkat Spearman. Mahasiswa FISIP USU menyukai evaluasi produk Somethinc Brand di Tiktok, dan sebagian besar memiliki kesadaran merek yang tinggi. Pengujian hipotesis menunjukkan koefisien korelasi sebesar 0,578 antara ulasan produk Somethinc Brand di Tiktok dengan kesadaran merek di kalangan mahasiswa FISIP USU. Berdasarkan uji determinasi korelasi, ulasan produk Somethinc Brand di Tiktok meningkatkan kesadaran merek di kalangan mahasiswa FISIP USU sebesar 33%.
Analisis Semiotika Nilai Perjuangan Seorang Ibu dalam Film “How to Make Millions Before Grandma Dies”
Authors: Ghassani Aliesa Athirah , Khohar Abdul , Romadlan Said
Published: January 2025

Penelitian ini membahas tentang nilai perjuangan seorang Ibu pada film ‘How to Make Millions Before Grandma Dies’. Film merupakan salah satu bentuk media pada komunikasi massa yang memiliki pengaruh besar dalam menyampaikan pesan, cerita, dan nilai-nilai kepada penontonnya. Kisah perjuangan seorang Ibu sering kali menjadi tema yang kuat dan menginspirasi, karena sosok Ibu biasanya menjadi pilar utama dalam keluarga dan masyarakat. Terutama dalam sebuah keluarga, peran Ibu sangat penting. Penelitian ini bertujuan untuk mendeskripsikan bentuk-bentuk perjuangan seorang Ibu yang terdapat pada film ‘How to Make Millions Before Grandma Dies’. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan menggunakan teknik observasi dan dokumentasi. Teori yang digunakan ialah analisis semiotika Ferdinand de Saussure. Teknik analisis data menggunakan teori perjuangan oleh Joyomartono yang mencakup sebanyak 6 poin nilai perjuangan yaitu: Nilai rela berkorban, persatuan, menghargai, sabar, semangat pantang menyerah dan kerja sama. Hasil penelitian ini menemukan sebanyak 7 adegan nilai perjuangan, dengan masing-masing 2 adegan nilai berkorban, 1 adegan nilai persatuan, 1 adegan nilai perjuangan, 1 adegan nilai sabar, 1 adegan nilai semangat pantang menyerah dan 1 adegan nilai kerja sama.