Youth is the driving force of all civilizations born in the culture of society. The state of maturity affects the mindset and behavior. Sensitivity is very high in sniffing out various problems of the surrounding reality. The effectiveness of this sense is what drives the sensitivity to make changes to overcome various conditions. Based on this phenomenon, researchers use Benedict Anderson's Imagined Communities as a tool for analysis. Anderson said that collective imagination or imagination will bring into a shared awareness. In addition, youth are the driving force, because they have the opportunity to change the conditions of their society. This study uses a qualitative method with an ethnographic approach. This is in line with the analysis that seeks to describe and explain the reality that exists within a scope of society.

Flights from Bima to Yogyakarta can be done via transit or non-transit flight routes. The selection of flight routes carried out by cadets of the Yogyakarta Aerospace Technology College (STTKD) is quite important to know the factors that are considered in choosing the flight route to be taken, in addition, this route selection offers different alternatives in terms of travel time, ticket costs and comfort in transit and non-transit flights. With accurate information, cadets can choose the most efficient and economical option, so as to minimize their experience in traveling using air transportation. The research method used in this study is a qualitative research method. Where this research method is a method of research that is descriptive and tends to use analysis. Based on the results of data analysis of five selected sources, it shows that the selection of flight routes from Bima to Yogyakarta is influenced by several main factors such as travel time, price, and comfort. In this study, the data validity checking technique used is the triangulation technique, where the triangulation technique is to test the credibility of the data carried out. In the selection of transit flight routes, the comfort of the service is more dominant, while for non-transit flight routes, the ticket price and travel time are more dominant. Of the two flight routes, each has its own main factors in selecting a flight route, namely price, travel time, and comfort.

This study aims to analyze the effect of product arrangement on consumer purchasing decisions at Alfamidi Jl. Tuasan, Medan. Product arrangement is a crucial visual merchandising strategy in the modern retail industry to attract consumer attention and increase sales. The study used a quantitative approach with an associative method, involving 30 respondents selected through accidental sampling techniques. Data were collected using a questionnaire with a 5-point Likert scale and analyzed using simple linear regression with the help of SPSS version 25. The results showed that product arrangement had a positive and significant effect on consumer purchasing decisions with a coefficient of determination (R²) of 90.2%. The regression equation Y = 1.245 + 0.675X shows that every one unit increase in product arrangement will increase purchasing decisions by 0.675 units. The t-test produced a calculated t value of 16.071> t table 2.048 with a significance of 0.000 <0.05, confirming the research hypothesis. This finding confirms that product layout elements such as ease of access, visual appeal, and layout comfort play a vital role in influencing consumer behavior and increasing the effectiveness of retail marketing strategies.

Indeks Prestasi Kumulatif (IPK) merupakan indikator utama dalam menilai keberhasilan akademik mahasiswa. Berbagai faktor, termasuk kesehatan mental dan fisik, berkontribusi terhadap pencapaian ini. Penelitian ini bertujuan untuk membangun model prediksi IPK menggunakan algoritma Decision Tree dan Random Forest berbasis Feature Engineering. Proses feature engineering mencakup feature selection untuk memilih fitur paling relevan, diikuti oleh feature extraction yang menyederhanakan fitur menjadi dua kategori utama: kesehatan mental dan fisik. Data diperoleh melalui survei terhadap 7.022 mahasiswa dari berbagai universitas luar negeri, mencakup faktor usia, jurusan, tingkat stres, kecemasan, serta pola tidur, aktivitas fisik dan lain sebagainya. Model prediksi dikembangkan menggunakan Decision Tree dan Random Forest, dengan evaluasi akurasi kedua algoritma. Hasil penelitian menunjukkan bahwa Random Forest memiliki akurasi lebih tinggi dibandingkan Decision Tree. Faktor kesehatan mental, terutama tingkat stres, memiliki pengaruh signifikan terhadap prediksi IPK, disusul oleh pola tidur. Studi ini menegaskan bahwa pemantauan kesehatan mental dan fisik mahasiswa dapat meningkatkan pencapaian akademik. Temuan ini diharapkan dapat membantu institusi pendidikan dalam merancang strategi dukungan akademik berbasis kesehatan mahasiswa.
 
Kata Kunci: Indeks Prestasi Kumulatif (IPK), Machine Learning, Decision Tree, Random Forest, Feature Engineering

Perkembangan teknologi informasi yang pesat telah mendorong kebutuhan akan platform pembuatan website yang profesional, terutama bagi bisnis, individu, maupun organisasi tanpa latar belakang teknis. Penelitian ini bertujuan untuk membangun sistem informasi jasa pembuatan website UpSite menggunakan metode prototyping, dengan integrasi fitur business intelligence. Metode ini dipilih karena bersifat iteratif dan memungkinkan penyesuaian sistem secara langsung berdasarkan umpan balik pelanggan. Kebaruan utama dari sistem ini adalah integrasi fitur Business Intelligence (BI) pada dashboard admin, yang menyajikan visualisasi data penjualan dan analisis layanan terlaris secara real-time untuk mendukung pengambilan keputusan. Proses pengembangan mencakup komunikasi kebutuhan, perencanaan awal, pemodelan sistem (use case diagram, activity diagram, dan class diagram), pembangunan prototipe, serta pengujian menggunakan metode black box dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa seluruh fitur inti, termasuk BI, berjalan sesuai spesifikasi dan memperoleh respons sangat baik dari calon pelanggan. Dengan demikian, UpSite dinyatakan layak digunakan sebagai solusi layanan pembuatan website yang tidak hanya fungsional, tetapi juga inovatif dengan dukungan analitik berbasis data.
 
Kata Kunci - UpSite; Metode Prototyping; Pembuatan Website; Business Intelligence; Pengujian Black Box

This study aims to analyze the position of the Constitutional Court's decision in the formation of laws and to examine the legal implications if the laws formed are in conflict with the Constitutional Court's decision. This study is important to conduct considering the polemic of alleged non-compliance of state administrators with the Constitutional Court's decision, especially in the formation of laws. This study is different from several previous studies because it examines the position of the Constitutional Court's decision and the legal implications of laws formed in conflict with the Constitutional Court's decision. Using a normative legal research method. The results obtained from this study are that the Constitutional Court's decision is a source of law in the formation of laws as stipulated in Article 10 paragraph (1) letter d of Law No. 12 of 2011, that one of the materials that must be included in the law is the follow-up to the Constitutional Court's decision. The legal implications of the formation of laws that are in conflict with the Constitutional Court's decision are that it will cause legal uncertainty, can harm human rights, and the law can be submitted for judicial review to the Constitutional Court. The Constitutional Court's decision is the official interpretation of the 1945 Constitution. Therefore, the DPR and the President are obliged to follow up on it in the formation of laws, so that the resulting laws can provide justice, benefits, and legal certainty as well as protection of human rights.
 
Penelitian ini bertujuan untuk menganalisis kedudukan putusan Mahkamah Konstitusi dalam pembentukan undang-undang serta mengkaji implikasi hukum apabila undang-undang yang dibentuk bertentangan dengan putusan Mahkamah Konstitusi. Penelitian ini penting dilakukan mengingat adanya polemik dugaan ketidakpatuhan penyelenggara negara terhadap putusan Mahkamah Konstitusi khususnya dalam pembentukan undang-undang. Penelitian ini memiliki perbedaan dengan beberapa penelitian sebelumnya karena mengakaji kedudukan putusan Mahkamah Konstitusi dan implikasi hukum undang-undang yang dibentuk bertentangan dengan putusan Mahkamah Konstitusi.  Menggunakan metode penelitian hukum normatif. Hasil yang diperoleh dari penelitian ini yaitu putusan Mahkamah Konstitusi berkedudukan sebagai sumber hukum dalam pembentukan undang-undang sebagaimana ditentukan pada Pasal 10 ayat (1) huruf d UU No. 12 Tahun 2011, bahwa salah satu materi yang wajib dimuat dalam undang-undang adalah tindak lanjut atas putusan Mahkamah Konstitusi. Implikasi hukum pembentukan undang-undang yang bertentangan dengan putusan Mahkamah Konstitusi yakni akan menimbulkan ketidakpastian hukum; dapat merugikan hak asasi manusia; dan undang-undang tersebut dapat diajukan judicial review di Mahkamah Konstitusi. Putusan Mahkamah Kontitusi merupakan penafsiran resmi UUD 1945. Oleh karena itu, DPR dan Presiden wajib menindaklanjutinya dalam pembentukan undang-undang, agar undang-undang yang dihasilkan dapat memberikan keadilan, kemanfaatan dan kepastian hukum serta perlindungan terhadap hak asasi manusia. 
 

Skin diseases are health problems that require accurate diagnosis to evaluation and ultimately leading to treatment decisions. One of the crucial roles in the diagnostic process is medical imaging. Machine learning technology can assist in classifying skin diseases using image data and achieving high levels of accuracy in diagnosis. The purpose of this research is to review machine learning algorithms that can be utilized to develop image-based skin disease classification systems. The methodology employed is a Systematic Literature Review (SLR), which can be used to provide a comprehensive review of the application of machine learning in the classification of skin diseases. The literature search strategy was based on the Boolean technique, applied to the Scopus database. The selected articles were screened using predefined inclusion and exclusion criteria. The results indicate that the most used machine learning algorithm with achieved the highest classification accuracy is the Convolutional Neural Network (CNN).
Keywords - Skin Disease, Machine Learning, Classification, CNN.

This study focused on creating an innovative learning tool – a rotating solar system model – to help sixth-grade elementary students in Natural Sciences (IPA) better understand the solar system. We identified key challenges in teaching this topic: students often showed low interest and struggled with the abstract concepts of planetary movement. To address these issues, we used a Research and Development (R&D) approach following the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The rotating solar system model was designed as a three-dimensional teaching aid that students could manually rotate. This simple yet educational design visually demonstrates the orbit and rotation of planets around the sun. During development, we consulted with subject matter experts and media experts to ensure the content's accuracy and visual quality. Validation results were highly positive, with average scores of 88% from subject experts, 83% from media experts, and 92% from practitioners, all categorized as "good." We then conducted a limited trial with 29 sixth-grade students at SD Negeri 222 Palembang. The results were encouraging: we observed a significant improvement in conceptual understanding, as evidenced by pre-test and post-test score comparisons, as well as an increase in student motivation during the learning process. 

The phenomenon of climate change has a very pronounced impact on Semarang City, especially in Tambakrejo Village with increased risk of disasters such as flooding and tidal floods. Various efforts in reducing the risk of climate change have been carried out through the Climate Village Program (ProKlim) with the aim of increasing community participation in waste management. Currently, inorganic waste management has been carried out by the Berkah Jaya Waste Bank but it is not optimal, while for organic waste management it still does not exist. The purpose of the service activity is to make household waste management more organized so that it supports the Climate Village Program. Activity methods through counseling, training, technical guidance, field practice, equipment facilitation and program development. The results of activities in the form of increasing partners' understanding and skills in waste management with several activities including socialization of household-based waste management, increasing community capacity in processing organic waste, facilitating facilities and infrastructure for organizing waste processing sites and developing waste bank savings programs. Another result is an increase in sales of inorganic waste from the Berkah Jaya Waste Bank, where from waste management it can buy waste from residents amounting to Rp.2,749,350, - with sales of Rp.3,376,200, - during February - June. The conclusion of this activity is that there is an increase in organic and inorganic waste management in target partners.

Akses terhadap air bersih yang layak merupakan kebutuhan dasar yang sangat penting, terutama bagi masyarakat di wilayah pedesaan seperti Desa Drawati, Bandung Barat. Sebagian besar warga desa masih mengandalkan sumber air alami seperti mata air dan sungai tanpa proses penyaringan yang memadai, yang berpotensi menyebabkan penyakit seperti diare dan infeksi saluran pencernaan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan teknologi penyaringan air sederhana namun efektif yang memungkinkan masyarakat memperoleh air layak konsumsi secara langsung. Sistem penyaringan yang diterapkan terdiri dari beberapa tahapan, yaitu filtrasi mekanis (pasir silika dan kerikil), karbon aktif, zeolit, membran ultrafiltrasi, dan sterilisasi dengan sinar ultraviolet (UV). Kegiatan ini dilaksanakan dengan pendekatan partisipatif yang melibatkan masyarakat sejak tahap perencanaan hingga pemeliharaan unit penyaringan. Selain membangun unit penyaringan, tim juga memberikan pelatihan kepada warga tentang pentingnya air bersih dan cara perawatan sistem. Hasil pengujian air menunjukkan bahwa sistem mampu meningkatkan kualitas air hingga memenuhi standar konsumsi. Program ini juga melibatkan mahasiswa sebagai bagian dari implementasi Merdeka Belajar Kampus Merdeka (MBKM) dan mendukung pencapaian Indikator Kinerja Utama (IKU) perguruan tinggi.