Publication Search

This research explores the process of designing a user interface for the SDIT Attaqwa Ambulu website, aimed at serving as a centralized digital information platform. It addresses the school’s communica-tion challenges, which still rely on traditional media like brochures and inconsistent social media management. A qualitative descriptive method was employed, using interviews, observations, and ques-tionnaires for data collection. The findings indicate a strong demand from parents and the local community for a digital platform that de-livers clear, organized, and visually appealing content. The design development process included audience identification, needs analy-sis, formulation of visual and verbal concepts, creation of wireframes, user flow mapping, and high-fidelity design work. Vali-dation involved guidance from academic advisors, feedback from stakeholders, and critique from a UI/UX practitioner—focusing on layout consistency, color readability, and the use of functional ele-ments such as buttons and cards. The final output is a user-friendly website design that combines a modern aesthetic with Islamic visual identity, aiming to enhance the school’s branding and improve pub-lic access to essential information.

This study aims to analyze the need for a website-based high-level thinking ability response text teaching module. This study is a type of qualitative research that focuses on the analysis of the need for a website-based high-level thinking ability response text teaching module at the junior high school level. The study was conducted at SMP Negeri 1 Kanor and MTs Muhammadiyah 1 Banjaranyar in January 2025 with 48 seventh grade students as research subjects. The results of the study indicate that the need for a website-based high-level thinking ability response text teaching module is very much needed by respondents or students. The findings of the integration are considered capable of providing an innovative and substantive learning experience.

Nowadays, the number of cyber terrorists that using Internet as a medium keep increasing around the world are really worrying. Even though the cyber terrorist is publishing their post openly and public, there are quite difficult to recognize their main communication media. This happen because the cyber terrorist might hide their agenda through any sympathetic base website. Therefore, the aim of this project is to formulate tracing and linking algorithm using data mining technique in order to identify the relationship between each cyber terrorism components that may result to cyber terrorism website.      

Cardiovascular disease includes several heart and cardiovascular problems. One in three deaths in the world is caused by heart disease. Handling and preventing deaths from cardiovascular disease needs to be improved. Flavonoids are phytochemicals commonly found in plants. Quercetin is one of the most common flavonoids. Quercetin is also known to have potential as an alternative intervention for people with heart disease. Therefore, the positive impact of quercetin on cardiovascular disease needs to be reviewed. This article uses a literature review method by reviewing articles from the last ten years (2014–2024) through trusted websites. The results of the study show a link between quercetin, cardiovascular disease, and the dose administered. It can be concluded that quercetin has a strong antioxidant effect, which can overall overcome and prevent cardiovascular disease.    

This study was conducted to determine financial management training to improve effectiveness and efficiency using the Ngecash.id website in Micro, Small, and Medium Enterprises (MSMEs) located in Girikerto Village, Sleman. In this study, data sources were obtained from primary data and secondary data. Data were analyzed using descriptive analysis methods. The conclusion of this study is to conduct training on financial management for MSME actors in increasing knowledge digitally through the Ngecash.id website with the output produced in the form of payment receipts or Bills and recording sales reports.

The online gaming industry continues to grow rapidly in Indonesia, with many users purchasing digital items through 3rd party top up services such as Pitopup.com. One of the main challenges faced by Pitopup.com is the difficulty in classifying the sales of each available game item. This research aims to apply the K-Nearest Neighbor (KNN) method to predict the sales classification of game items in order to find out the sales category for each game item and hopefully help increase stock efficiency. The dataset used was obtained from historical sales data on Pitopup.com from June to September 2024. The research stages include data processing, normalization using Min-Max Scaling, data transformation using label encoding, separating test and training data using a ratio of 80:20, and using confusion matrix as a model evaluation. The test results show that KNN algorithm is able to classify game item sales on the Pitopup.com website with a level of accuracy in several categories: marketable category at 100%, the moderately sellable category at 100% and the not sellable category at 100%.

This study aims to analyze and evaluate the impact of the implementation of PSAK No. 69 (Biological Assets) on market performance, with company performance acting as a mediating variable, in agricultural sector companies listed in Indonesia. PSAK No. 69 was adopted to improve transparency and reliability in the financial reporting of biological assets, which are a significant component in the agricultural industry. The research adopts a quantitative approach, utilizing secondary data derived from the annual financial reports of companies and stock price information accessed via the Indonesia Stock Exchange (IDX) and the official websites of relevant companies for the period of 2018–2023.The study investigates the relationship between the intensity of biological assets and company performance, as measured by Return on Equity (ROE), as well as the relationship between company performance and market performance, as measured by Stock Return. The analysis results indicate that the intensity of biological assets has a significant positive impact on ROE. However, the direct effect of biological asset intensity on Stock Return is not statistically significant. Nevertheless, the mediation test reveals that ROE has a significant positive effect on Stock Return, thereby confirming the mediating role of ROE in the relationship between biological asset intensity and Stock Return.These findings imply that the implementation of PSAK No. 69 indirectly affects market performance through its influence on company performance. This highlights the importance of financial performance as a transmission channel in understanding the market implications of accounting regulation changes. The study provides useful insights for investors, regulators, and other stakeholders in evaluating the financial and market consequences of biological asset accounting standards in the agricultural sector.

This research uses qualitative research methods with Roland Barthes Semiotics theory with data on the lyrics of the song “Duration” by Feby Putri which dissects signs in two levels: denotation and connotation, as well as the myths contained in the song text. The main data source in this research is the lyrics of the song “Duration” which is accessed by YouTube on the official Feby Putri NC account, while secondary data is obtained from the website article www.RRI.co.id, music reviews and a podcast entitled “Feby Putri surgical song Duration with Indra Aziz |Dalem banget” on the youtube account VokalPlus by Indra Aziz. The data collection technique was done through documentation. The results showed that denotatively, the lyrics of this song describe the feelings of someone who realizes that being together with the person he loves has a time limit, whether due to circumstances, fate, or changing feelings. Connotatively, this song represents Feby's life story as an overseas child feeling lonely overseas when he returned to his hometown he found significant changes in his family, especially his mother who was getting older. Meanwhile, at the mythical level, this song reflects Indonesian cultural values about the importance of returning to one's hometown because family and loved ones are something very valuable, moments together must be utilized as well as possible because time keeps running and will never be repeated. Thus, the lyrics of Durasi are not just a melancholic song, but also a symbol of universal life reflections that are relevant to many individuals.

This study aims to analyze the marketing strategy implemented by the Regional National Crafts Council (DEKRANASDA) in Samosir Regency in developing local craft products and enhancing their competitiveness. This research employs a qualitative approach with data collection techniques through interviews, observation, and documentation. The findings reveal that DEKRANASDA has applied the elements of the marketing mix, including product, price, place, and promotion. However, several significant challenges persist, particularly in terms of limited promotional media and intense market competition. One major obstacle is the insufficient utilization of digital media as a marketing tool, which results in a limited market reach. Furthermore, product innovation needs to be improved to better align with consumer preferences and current market trends. Therefore, this study recommends that DEKRANASDA develop a digital-based marketing strategy, such as utilizing social media, e-commerce platforms, and an official website to enhance promotional reach. Additionally, innovation in design, raw materials, and product variations should be undertaken to attract consumers and compete in a broader market. This research provides important insights into the development of more effective marketing strategies to increase the income and competitiveness of craft products in Samosir Regency.

In the current digital era, SMEs in the culinary sector face challenges in adopting technology to improve operational efficiency. One solution to address this issue is the use of a simple and cost-effective QR Code-based application. This study aims to develop and implement siMenu, an application that provides table, order, and product management solutions without integrating complex digital payment systems. The method used is Project-Based Learning (PBL), which allows the development of technical skills while designing a sustainable business model through Business Model Canvas (BMC). The results show that siMenu successfully improved operational efficiency for SMEs, reduced ordering errors, and provided an easy-to-adopt solution with low implementation costs. However, challenges in application development and building user trust remain obstacles. The conclusion of this study is that simple digital solutions like siMenu can help SMEs in the culinary sector digitally transform and stay competitive in an increasingly evolving market.  

The bond market in Indonesia continues to develop and become one of the investment instruments of interest, both by institutional and individual investors. This study aims to compare the characteristics of government bonds and corporate bonds based on several factors such as Yield to Maturity (YTM), bond prices, and duration (Macaulay and Modified Duration). The method used is comparative quantitative analysis with secondary data obtained from the website of Kustodian Sentral Efek Indonesia (KSEI). The results of the study indicate that government bonds have a lower risk with a YTM of 6%, a market price of IDR990,000.00, a macaulay duration of 1,903  years, and a modified duration of 1,82 years. In contrast, corporate bonds offer higher returns with a YTM of 12.14%, a market price of IDR980,000.00, a Macaulay duration of 1,847 years, and a modified duration of 1,77 years. Thus, this study is expected to provide insight for investors in adjusting investment choices based on risk profiles and financial goals.

The digital era has brought significant changes in various aspects of life, including building civic awareness. Islamic preaching as an effort to convey Islamic teachings and values has an important role in shaping characters and increasing public awareness of the rights and obligations of citizens, and also has a strategic role in instilling national values and social responsibility in a society that is increasingly digitally connected. By utilizing digital technology, preaching can be an effective means of spreading moral messages, ethics, and national values that are in line with Islamic teachings. Social media such as digital platforms, podcasts, websites, and so on make it easier for preachers to convey preaching more widely, so that they can reach various communities. This research was conducted through case studies and examining in more depth digital preaching activities through a particular institution or individual such as a YouTube account, digital preaching podcast or digital preaching community and observing public response to preaching content on social media. And analyzing the content by seeing to what extent the message that has been conveyed contains civic values such as tolerance, democracy and the rights and obligations of the state. Therefore, optimizing digital preaching is an urgent need in an effort to build a strong civic awareness based on Islamic values. Through digital communication such as educational content, preaching can increase individual awareness of their rights and obligations as citizens.    

The independent curriculum is an innovation in Indonesian education that offers freedom to learn to students, and allows educational units, teachers, and students to design learning processes that are relevant to their individual needs and potential, with an emphasis on developing student character. This study aims to describe in detail how the role of the Independent Curriculum in the formation of student character. This study was compiled with a literature study or Library observation. Data in this literature study were collected through searches on Google Scholar and various other databases, which aim to obtain comparative material. After that, the data that was successfully collected was collected based on its relevance to the research questions and objectives of this article, then summarized into comprehensive study results. The data collection process was carried out by tracing literature from national and international journals available on several websites. The results of the study show that the Independent Curriculum in Indonesia is designed to be freedom for students in the learning process through a flexible approach that is relevant to their lives. This curriculum forms student character based on Pancasila values, using various strategies such as differentiated learning, project-based learning

Poverty has become a quite burdensome economic challenge for developing countries. In addition, poverty is also closely linked to inequality. In Indonesia, poverty is one of the economic challenges that is difficult to face to date. This study examines the effect of Investment, TPT and UMR on poverty in West Sumatra in 2010-2024. The data used are secondary time series data obtained through the BPS website. The analysis method used is the multiple regression analysis method using the E-views tool. The results of the study show that Investment has a significant negative effect on poverty, the Open Unemployment Rate has a positive effect, but is not significant on poverty, and UMR has a significant negative effect on poverty. Simultaneously, these three variables have a significant effect on poverty.

This research aims to explore how cybercrime occurs in Indonesia and the government's efforts to tackle it. By understanding the various incidents that occur and the factors that cause them, it is hoped that this research can contribute to the development of policies and prevention strategies that are more effective in dealing with cybercrime threats.  The research method used is descriptive qualitative research with a normative juridical approach. Qualitative descriptive research with a normative juridical approach is research that tries to describe an event or incident that occurs directly, real, realistic, actual in the existing rules. The results and discussion of this research show that cybercrime, especially data theft and hacking of government websites, is a serious problem that requires immediate attention and action. With the right measures, it is hoped that Indonesia can reduce cybercrime incidents and improve overall cybersecurity. Overall, the results of this study provide a comprehensive overview of the challenges Indonesia faces in dealing with cybercrime threats as well as the steps that need to be taken to improve cybersecurity in the country.

The purpose of this research was to examine the relationship between audit report latency and profitability, firm size, and leverage.  This study falls under the category of quantitative research. The data utilised in it comes from secondary sources, specifically the company's annual financial report that can be found on the Indonesia Stock Exchange (IDX) website for the years 2020–2023.  With the use of a purposive sampling strategy, we were able to collect 236 pieces of observational data from 59 different companies.  The statistical package used for data processing in this study is SPSS 27, and the kind of data analysis that was employed is multiple linear regression analysis.  The study found that audit report lag is positively but insignificantly affected by leverage, firm size negatively but significantly affects audit report lag, and profitability negatively but insignificantly affects audit report lag.

This research is based on the lack of understanding in learning Indonesian in folk poetry materials, the difference between students' learning styles and unsupportive learning media is an obstacle for students in the learning process in the classroom so that students get bored easily. The purpose of this study is to describe the stages of PANDIGI learning media development with a differentiated model on folk poetry materials and to find out the validity and practicality of the development of the developed learning media. The type of research used is research and development using the ADDIE model, (analyze, design, development, implementation, evaluation). This research was conducted at SMPN 18 South Tangerang with the research subjects of grade VII.8 students totaling 41 students. The results of the study show that this learning media is valid and practical to use. The results of the assessment score of material experts were 85.71, and media experts were 86.6 which showed decent information without revision, as well as research from students conducted using a questionnaire showed a score of 84.36 which means very good, so it can be concluded that the PANDIGI website gets a very good and very decent category.

Penelitian ini bertujuan untuk mengevaluasi efektivitas Blackbox.ai dalam pengembangan website menggunakan metode Systematic Literature Review (SLR). Dengan menganalisis literatur dari artikel jurnal, prosiding konferensi, dan laporan industri, penelitian ini mengidentifikasi dampak Blackbox.ai terhadap kinerja website, pengalaman pengguna, dan efisiensi pengembangan. Hasil penelitian menunjukkan bahwa Blackbox.ai meningkatkan otomatisasi dalam penulisan kode, mengoptimalkan proses desain, dan mempercepat pengembangan website. Namun, terdapat tantangan dalam integrasi, kustomisasi, dan adaptasi terhadap berbagai platform. Implikasi dari temuan ini menunjukkan bahwa meskipun Blackbox.ai menawarkan banyak manfaat, diperlukan penyempurnaan dan penerapan strategis untuk memaksimalkan potensinya dalam pengembangan website. Penelitian ini memberikan wawasan bagi pengembang, pelaku industri, dan akademisi mengenai peran kecerdasan buatan dalam pengembangan website modern.

Penelitian ini bertujuan untuk mengevaluasi efektivitas Blackbox.ai dalam pengembangan website menggunakan metode Systematic Literature Review (SLR). Dengan menganalisis literatur dari artikel jurnal, prosiding konferensi, dan laporan industri, penelitian ini mengidentifikasi dampak Blackbox.ai terhadap kinerja website, pengalaman pengguna, dan efisiensi pengembangan. Hasil penelitian menunjukkan bahwa Blackbox.ai meningkatkan otomatisasi dalam penulisan kode, mengoptimalkan proses desain, dan mempercepat pengembangan website. Namun, terdapat tantangan dalam integrasi, kustomisasi, dan adaptasi terhadap berbagai platform. Implikasi dari temuan ini menunjukkan bahwa meskipun Blackbox.ai menawarkan banyak manfaat, diperlukan penyempurnaan dan penerapan strategis untuk memaksimalkan potensinya dalam pengembangan website. Penelitian ini memberikan wawasan bagi pengembang, pelaku industri, dan akademisi mengenai peran kecerdasan buatan dalam pengembangan website modern.

This research focuses on assessing the efficacy of a method that integrates Convolutional Neural Networks (CNN) with Decision Trees for the detection of phishing URLs. Phishing represents a major cyber threat, where cybercriminals attempt to deceive individuals into disclosing sensitive information via fraudulent websites. As the frequency of phishing attacks continues to rise, there is a pressing need for effective detection and prevention strategies. In this investigation, a dataset comprising both phishing and legitimate URLs was utilized to train a CNN-Decision Tree model. The training phase includes feature extraction from URLs using CNN, which excels at identifying intricate patterns within the data, followed by classification through Decision Trees, recognized for their capacity to deliver straightforward and comprehensible interpretations of classification outcomes. The model's performance was evaluated across nine distinct scenarios to assess its effectiveness under varying conditions. The results indicated that the hybrid CNN-Decision Tree model achieved a precision rate of 94%, a recall of 90%, and an F1-Score of 92%, with an overall accuracy of 93%. These findings suggest that the model is not only proficient in identifying phishing URLs but also maintains a commendable balance between precision and recall. This research highlights that the synergy of CNN and Decision Trees can serve as a potent solution for phishing URL detection, significantly contributing to the advancement of enhanced cybersecurity systems.