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The gap between academic curriculum content and modern industrial needs is often an obstacle for fresh graduates in the Information Technology field, particularly in the rapidly evolving Artificial Intelligence (AI) sector. This study aims to identify the relationship patterns among technical competencies (hard skills) most demanded by the global industry. The method employed is Association Rule Mining with the Apriori algorithm to discover association rules between skills, and Network Graph Analysis to visualize the topological map of these competencies. The research dataset covers 15,000 AI job vacancies from the 2024-2025 period, analyzed in depth using Support, Confidence, and Lift Ratio evaluation parameters to validate the strength of relationships between items. The results show that Python is the central competency with the highest frequency of occurrence. Strong association rules were found indicating that proficiency in TensorFlow has a high probability of requiring Python proficiency. The Network Graph visualization reveals three main competency clusters: Data Engineering Ecosystem, Deep Learning, and Infrastructure. These findings offer a strategic foundation for aligning curricula with the job market. Focusing on strengthening the identified competency clusters is expected to directly enhance the relevance and work readiness of graduates.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

Magnetic resonance imaging (MRI) provides rich anatomical contrast for brain tumor assessment, yet routine interpretation remains time-intensive and demands high precision. This work develops a pipeline for four-class brain MRI image classification (glioma, meningioma, pituitary tumor, and no tumor) by combining automated brain-region cropping, data augmentation, and transfer learning with EfficientNetB1. Experimental results demonstrate exceptional performance, achieving an overall accuracy of 0.99 (99%) on the test set. Specifically, the model reached an F1-score of 1.00 for the no tumor class, 0.99 for pituitary, and 0.98 for both glioma and meningioma classes. Beyond reporting numerical performance, the study utilizes Grad-CAM heatmaps to verify that predictions rely on clinically plausible regions rather than spurious background cues. These results indicate that an efficiency-oriented backbone, paired with systematic preprocessing, can achieve reliable and interpretable performance for brain tumor classification tasks.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

Tebing Tinggi City, which has a strategic position in North Sumatra, is experiencing changes in population growth that need to be predicted for development planning purposes. The purpose of this study is to forecast the population of Tebing Tinggi City in 2030 by applying the Double Integral method, and visualize the results in 3D using GeoGebra. The method used is a quantitative approach with a case study, where the population density function is created based on secondary data from the Central Statistics Agency (BPS) of Tebing Tinggi City for the period 2010 to 2024. Data on area and population per sub-district are used to develop a population growth model calculated using the double integral. The forecast results show that the population of Tebing Tinggi City is estimated to reach 26,038 people in 2030, with varying growth rates in each sub-district. 3D visualization through GeoGebra is able to depict the distribution of population density in an interactive geometric form, thus facilitating the understanding of complex mathematical concepts. The conclusion of this study is that double integrals can be applied effectively to predict population size, and GeoGebra serves as a very useful visual aid in presenting the results of multivariable calculus analysis.

This study aims to analyze the use of video media in visualizing Islamic values in the teaching of Aqidah and Akhlak at MA Al Manshuriyah Pagelaran. The study is grounded in the need for a more contextual, engaging, and relevant learning approach for the digital generation, particularly in delivering concepts such as monotheism, proper conduct, and social morality. A descriptive quantitative method was employed involving 24 students using questionnaires and classroom observations. The findings indicate that video media enhances student engagement, clarifies the understanding of abstract concepts, and fosters a more interactive learning atmosphere. The visualization of Islamic values through video enables students to comprehend commendable behavior more concretely and in relation to their daily experiences. The study implies that video-based learning is an effective strategy to strengthen value internalization in Aqidah and Akhlak teaching and is recommended for continuous integration into instructional practices.

The advancement of information technology has encouraged organizations to transform their data management practices, including those within the electrical power sector. PT PLN (Persero) UP3 Lubuk Pakam previously utilized Google Sheets to store and manage electrical energy loss data. However, this approach posed data security risks, as the files could be accessed and modified by unauthorized individuals. To overcome these limitations, this study developed a web-based information system specifically designed for the Electricity Energy Transaction Division (TEL) to replace Google Sheets as a platform for managing energy loss data. The proposed web application integrates a Role-Based Access Control (RBAC) mechanism, ensuring that only administrators are authorized to input, edit, or delete data, while other users can only view validated records. Furthermore, the system incorporates interactive data visualization through real-time charts, facilitating effective monitoring and analysis of electrical energy losses. The implementation of this system is expected to enhance data security, accuracy, and management efficiency within the TEL Division of PT PLN UP3 Lubuk Pakam.  

This study explores the development and implementation of an Augmented Reality (AR)-based learning medium to enhance students’ understanding of tajwid at Madrasah Aliyah. The background of this research stems from the limited effectiveness of conventional teaching methods and the relatively low interest of students in learning tajwid. AR-based learning was chosen because it provides a more interactive and contextualized learning experience that actively engages learners. The research employed a Research and Development (R&D) approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The participants were Madrasah Aliyah students selected as the experimental group. The findings reveal that the AR learning medium significantly improves students’ comprehension of tajwid rules compared to traditional learning approaches. Moreover, students reported high levels of satisfaction, noting that the media was engaging, user-friendly, and capable of visualizing abstract tajwid rules in a clear and accessible manner. In conclusion, integrating AR technology into Islamic education, particularly tajwid learning, holds great potential to improve learning quality while fostering students’ motivation to explore the subject more deeply.

Infeksi Saluran Pernapasan Akut (ISPA) merupakan masalah kesehatan utama di Kabupaten Tegal, terutama menyerang anak-anak dan lansia, dengan 25.273 kasus tercatat pada Januari–Juni 2025. Faktor seperti kepadatan penduduk, polusi udara, dan sanitasi buruk mempersulit analisis konvensional dalam mengidentifikasi wilayah berisiko tinggi. Penelitian ini bertujuan mengembangkan Sistem Informasi Geografis (SIG) berbasis web untuk memetakan dan memantau kasus ISPA secara akurat menggunakan pendekatan spasial. Metode Waterfall digunakan dalam pengembangan sistem, meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Data spasial (koordinat lokasi) dan non-spasial (usia, jenis kelamin, jumlah kasus) dikumpulkan dari Dinas Kesehatan dan dianalisis menggunakan teknik kepadatan titik dan klaster untuk mengidentifikasi pola sebaran. Sistem ini dibangun dengan framework Laravel sebagai backend dan Leaflet.js untuk visualisasi peta interaktif. Hasilnya, SIG ini mampu memvisualisasikan sebaran kasus ISPA per kecamatan, mendukung Dinas Kesehatan dalam mengalokasikan sumber daya medis secara efisien dan mengidentifikasi wilayah prioritas seperti Dukuhwaru dan Tarub. Bagi masyarakat, sistem ini meningkatkan akses informasi digital, mendorong kesadaran pencegahan, dan mendukung edukasi kesehatan. Sistem ini terbukti efektif sebagai alat strategis untuk pengambilan keputusan berbasis data, mempercepat respons terhadap ISPA, dan menjadi fondasi untuk pengembangan SIG dalam memantau penyakit lain di masa depan.

Diabetes Mellitus merupakan salah satu penyakit kronis yang jumlah penderitanya terus bertambah setiap tahunnya, termasuk di wilayah Puskesmas Brebes. Banyaknya pasien dengan kondisi klinis yang beragam mendorong perlunya suatu metode untuk mengelompokkan pasien berdasarkan tingkat keparahannya. Penelitian ini bertujuan untuk menerapkan algoritma K-Means dalam proses pengelompokan pasien Diabetes Mellitus dengan menggunakan beberapa parameter klinis, yaitu Gula Darah Puasa (GDP), kadar HbA1c, Kolesterol Total (CHOL), serta tekanan darah sistolik dan diastolik. Pendekatan yang digunakan dalam penelitian ini adalah deskriptif kuantitatif dengan metode data mining berbasis algoritma K-Means. Data yang digunakan diperoleh dari rekam medis Puskesmas Brebes. Proses klasterisasi menghasilkan tiga kelompok, yaitu kategori risiko rendah, sedang, dan tinggi. Hasil penelitian menunjukkan bahwa algoritma K-Means mampu melakukan pengelompokan data pasien secara akurat sesuai tingkat keparahan. Hasil tersebut kemudian divisualisasikan melalui sistem berbasis web yang bertujuan untuk mempermudah pihak puskesmas dalam menganalisis kondisi pasien serta mendukung pengambilan keputusan medis yang lebih efektif.

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.

Acute Respiratory Infection (ARI) is an infectious disease that often affects the upper and lower respiratory tract. This disease is one of the main causes of death in children under five, especially in areas with less favourable environmental conditions. This study aims to map the distribution of ARI in Central Java Province using the K-Means clustering method. Through data analysis that includes inputting, transforming, processing, and visualisation, this study successfully identified three clusters of areas with different levels of ARI distribution. Cluster 0 indicates areas with low risk, such as Demak and Semarang Regency, Cluster 1 indicates areas with medium risk, such as Klaten, Magelang Regency, Pati, while cluster 2 indicates areas with high risk, including Semarang City and Surakarta City. The results of this analysis are presented as a map using QGIS to spatially visualise the distribution of ARI across Central Java. Thus, local governments can design more effective and targeted ARI prevention and control strategies.

This study discusses how personal experiences can serve as the main source of ideas in creating batik painting. Using a phenomenological approach, self-narratives are used to explore experiences which are then visualized into batik works. The creative process follows several stages: preparation, imagining forms and motifs, exploring color and technique, and the final execution on primisima mori cloth sized 77x 109 cm using hand drawn batik techniques. The resulting work not only captures life stories but also becomes a way to express oneself and preserve culture.

The purpose of this community service activity is to enhance the innovation and product visualization of the Micro, Small, and Medium Enterprise (MSME) Dapur 80 to increase consumer awareness and familiarity with its products. Through observations and interviews, several challenges were identified, including Dapur 80 lacked a consistent visual identity, used simple product packaging, had an unorganized menu, and did not have an appealing business location marker. To address these issues, the activity focused on designing and producing menu catalogs, product stickers, and a neon box—each playing a crucial role in enhancing product appeal. The results indicated successful implementation: catalogs were distributed to resellers, 100 stickers were printed and applied to product packaging, and one neon box was installed at the business location. An evaluation with the owner revealed satisfaction with the developed promotional media. Within just ten days of use, Dapur 80 recorded an increase of 11 new customers. However, the project was limited by its relatively short duration of one month, which constrained the measurement of long-term impacts. Despite this limitation, the community service activity contributed significantly to improving Dapur 80’s sales performance, demonstrating that enhanced product visualization can attract consumer attention, stimulate demand, and increase turnover.

This final work aims to contribute to the preservation of local culture, as well as introducing graphic art as a means of telling stories and depicting community life, especially the activities of blacksmiths in Nagari Sungai Puar. Therefore, the author created a work entitled "graphic art: visualization of blacksmith activities in Nagari Sungai Puar using relief print techniques" and wanted to spread various elements in blacksmith activities, starting from the process of making tools and interactions between blacksmiths. The creation method used is the Halma Hawkins method through the stages of exploration, improvisation and formation. With this method, this work can later be visualized into a graphic art work using relief printing techniques. The final work product is ten works of graphic art measuring 55 x 40 cm which depict blacksmith activities in the Sungai Puar village. The works are entitled: Making a rod, Cutting iron, Burning furnace, Forging iron, Forming iron, Grinding a kite, Cooling a knife, Sharpening a knife, Skillful hands, Final stages.

Mathematics is one of the main skills taught from elementary school to college, playing a role in developing critical and logical thinking patterns of students. However, many elementary school students have difficulty understanding mathematical concepts, especially spatial figures, due to the lack of supporting learning media. This study aims to explore the effectiveness of using Trimatra (three-dimensional) media in mathematics learning in elementary schools. Trimatra media, such as three-dimensional models of spatial figures, allows students to visualize and understand the characteristics and relationships between spatial figures in a concrete manner. The results of the literature study show that Trimatra media not only increases students' knowledge of mathematical concepts, but also motivates students to be actively involved in learning, increases critical thinking skills, and overall learning outcomes.  

This article discusses the issue of poverty in Kalimantan Island, Indonesia, with a focus on the analysis of poverty data from 2019 to 2024. Despite Kalimantan's wealth of natural resources, economic disparities and uneven distribution remain significant challenges. This research uses data from the Central Statistics Agency (Badan Pusat Statistik) to demonstrate the impact of the COVID-19 pandemic, which caused an increase in the number of people living in poverty due to income reductions and job losses. By utilizing Microsoft Excel, data visualization is employed to present information clearly and concisely, making it easier to understand the poverty situation in the region. The findings of this research recommend that poverty alleviation policies be more focused and data-driven, and encourage further research to understand the factors influencing poverty. It is hoped that this article will provide valuable insights for the development of policies and poverty alleviation efforts in Indonesia, particularly in Kalimantan Island.

This analysis uses the Wimba Method and Visual Language Expression System to examine the visual language of the Goddess Parwati statue. Using a qualitative descriptive research method with a historical background to obtain a description of the creation that is appropriate to the period of its creation. Viewed from the visual language approach, several general things are obtained regarding the Goddess Parwati statue, namely: (1) Iconography aspect: identifying and describing all elements of the Goddess Parwati statue; (2) Historical aspect: The Goddess Parwati statue was discovered in the 14th century. The initial location of the discovery was at the BHRE Kahuripan Site, Panggih Village, Trowulan District, Mojokerto Regency, East Java. (3) Visual language aspect: Seen from the combination of naturalistic-stylized depiction methods using decorative methods. The data analysis model used is an interactive model analysis carried out by collecting data, reducing data, presenting data, and drawing conclusions/verifying data. The study of the contents of the wimba shows that there are various types of jewelry depicted on the Goddess Parwati statue as supporters of the statue's identity.   Keywords:  Visual Language, Statue of Goddess Parvati, Iconography, Wimba and Phraseology, Qualitative Descriptive Method  

Surfaces in three-dimensional space can be represented through explicit, parametric and implicit equations, which describe the relationship between the variables x, y and z. Graphs of linear equations produce flat planes, while quadratic equations form objects such as spheres or ellipsoids. In this research, a theoretical approach is combined with interactive visualization to analyze various surface shapes. Through the use of GeoGebra software, this analysis makes it easier to understand surface orientation and shape, such as normal vectors and curvature, as well as applications in vector fields. This research also investigates the concepts of Cartesian coordinates in three-dimensional space, by depicting surfaces in the form of graphs of functions of two variables. It is hoped that the results of this research can provide deeper insight into the geometric properties of surfaces and how to visualize them effectively in mathematics and physics applications.

Desa Wisata Mungguk mempunyai destinasi wisata alam, sejarah dan budaya lokal yang unik. Pariwisata yang disajikan berupa air terjun Setegung, riam Air Merah, Makam Raja Abdul Kahar, Meriam Tanda Perdamaian dan acara budaya berupa Robo - robo sebagai bentuk rasa syukur dan doa yang diadakan setiap setahun sekali. Berdasarkan hasil observasi lapangan, ditemukan fakta bahwa media yang digunakan untuk mempromosikan Desa Wisata Mungguk ini masih terbatas pada media cetak, baik berupa leaflet atau spanduk di lokasi wisata. Melihat permasalahan tersebut, maka perlu sebuah media promosi berbentuk audio video, yang dapat mempromosikan tentang Desa Wisata Mungguk dan mampu mempersuasif masyarakat untuk berkunjung ke tempat wisata. Metode penelitian yang diterapkan dalam merancang video promosi menggunakan penelitian kualitatif, sehingga mampu mendapatkan data dan informasi secara akurat melalui wawancara dan observasi secara langsung.  Strategi kreatif dalam merancang video promosi menggunakan linear strategy, dengan harapan menghasilkan video promosi yang mampu menyampaikan informasi yang persuasif dan menarik minat wisatawan untuk berkunjung ke berbagai wisata yang ditawarkan oleh Desa Wisata Mungguk.