Kecelakaan lalu lintas merupakan permasalahan serius yang terjadi secara global, termasuk di Indonesia. Salah satu faktor utama penyebab kecelakaan adalah kegagalan sistem pengereman, khususnya rem blong. Rem blong umumnya disebabkan oleh overheating pada sistem rem, yang mengakibatkan berkurangnya daya cengkeram rem atau munculnya vapor lock, sehingga pengemudi tidak dapat mengendalikan kendaraannya. Kondisi ini sangat berisiko, terutama pada kendaraan bermuatan berat seperti truk, bus, dan mobil pick-up. Panas berlebih pada sistem rem terjadi karena gesekan saat pengereman menghasilkan temperatur yang melampaui kapasitas sistem, sehingga mempercepat kerusakan dan meningkatkan potensi kecelakaan. Salah satu solusi untuk mengatasi hal ini adalah dengan menjaga temperatur rem tromol, yaitu melalui sistem pendingin otomatis menggunakan udara bertekanan yang diarahkan ke rem tromol. Metode ini  mencegah kegagalan sistem rem akibat panas berlebih dan meningkatkan keselamatan kendaraan berat. Penelitian ini dilakukan pada prototipe rem tromol untuk menguji efektivitas udara bertekanan (5 bar) dengan memvariasikan jarak nozzle (8 mm, 10 mm, dan 12 mm) dengan sudut nozzle (45°) secara otomatis menggunakan Arduino Mega 2560. Tujuan dari penelitian ini adalah untuk mendapatkan data yang akurat mengenai jarak yang paling berpengaruh dalam menurunkan temperatur rem. Hasil terbaik diperoleh pada jarak yang tedekat yaitu 8 mm, dengan temperatur pendinginan terendah sebesar 127,64°C.

This research is a type of Research and Development (R&D) aimed at producing an Electronic Student Worksheet (E-LKPD) based on Liveworksheets on the topic of the human digestive system for fifth-grade students at SDN 114/X Pandan Jaya, Tanjung Jabung Timur Regency. This product was developed to address the lack of interactive teaching materials in IPAS (Science) learning and to align learning with the characteristics of 21st-century learners who are familiar with digital technology. The development model used is ADDIE, which includes five stages: analysis, design, development, implementation, and evaluation. In the analysis stage, it was found that teachers had not yet used student worksheets in the learning process, while students showed high interest in digital learning media. The product was developed in accordance with the curriculum and student characteristics, and then validated by content experts (98.26%), language experts (93.33%), and media experts (84%), all of which fall into the very valid category. The product was then tested on teachers and students. The questionnaire results indicated that the E-LKPD is practical to use, with a practicality score of 98.18% from the teacher and 86% from students. Based on these results, it can be concluded that the Liveworksheets-based E-LKPD is valid, practical, and suitable to be used as an interactive teaching material in IPAS learning for fifth-grade elementary school students.

Abstract: This research systematically concentrates on the effect of different dyeing temperatures on the mechanical properties of AISI 1045 steel which has an important role in the field of mechanical engineering. These findings are important for the development of engineering components such as shafts and gears. This study aims to analyze the effect of quenching temperature variations on the hardness, tensile strength, and ductility of AISI 1045 steel experimentally. Heat treatment was carried out through samples up to an austenization temperature of 850°C with a holding duration of 30 minutes, followed by flash dipping (rapid cooling) using water media at temperature variations of 5°C, 15°C, 25°C, and 35°C. Each treatment was carried out five times and statistical analysis was given to obtain representative data. Observation of microstructures using serial light microscopy was carried out including evaluation. The results showed a close relationship between the decrease in coolant temperature and the increase in hardness and tensile strength. However, there is an opposite correlation with material durability. The highest hardness, 58 HRC, and the strongest tensile strength, 1250 MPa, were obtained for samples cooled at 5°C.  Microstructure observations show a more dominant martensite formation at cooler immersion temperatures. The results of this study provide insight into the correlation with the transformation of the mechanical and microarchitectural characteristics of AISI 1045 steel.
 

Toko Ahmad Adam adalah toko sembako yang menyediakan kebutuhan pokok seperti beras, minyak goreng, mie instan, dan gula. Pengelolaan stok yang masih dilakukan secara manual menyulitkan pemilik toko dalam menetapkan prioritas pengadaan barang. Ketiadaan sistem klasifikasi stok menyebabkan ketidakseimbangan antara kebutuhan dan ketersediaan barang, sehingga berisiko terjadi kekurangan atau kelebihan stok. Penelitian ini bertujuan membangun model klasifikasi stok guna mengoptimalkan pengelolaan persediaan. Metode yang digunakan adalah algoritma Naive Bayes dengan input berupa jumlah stok, frekuensi barang masuk, dan data kategori barang. Model klasifikasi ini menghasilkan pengelompokan barang ke dalam dua kategori, yaitu laku cepat dan kurang laku, berdasarkan kecepatan habisnya stok dalam periode waktu tertentu. Hasil klasifikasi digunakan sebagai dasar pengambilan keputusan pengadaan barang. Pendekatan ini mampu menyajikan informasi relevan untuk membantu pemilik toko dalam menentukan barang yang perlu segera diisi ulang maupun yang pengadaannya dapat ditunda, sehingga pengelolaan persediaan menjadi lebih efisien dan efektif.

Landslides are a frequent natural disaster in the Karanganyar area, especially in hilly areas with high rainfall and fragile geological conditions. This community service activity aims to provide technical assistance on gabion installation as a landslide mitigation effort in Dusun Sukuh, Ngargoyoso District, Karanganyar Regency. The method includes lectures, demonstrations, and direct practice, covering preparation stages, material selection, and correct installation techniques. The results showed a significant increase in participants' understanding, from an average pre-test score of 32% to 70% in the post-test. This indicates that the program effectively improved the knowledge and skills of the community regarding gabion installation techniques. The community showed active participation and high enthusiasm, reflecting their awareness of the importance of disaster mitigation efforts. This activity is expected to support the sustainability of community-based disaster risk reduction efforts in the region.

Apotek Adli mengalami tantangan dalam pengelolaan stok produk akibat sistem pencatatan penjualan yang masih dilakukan secara manual. Hal ini menyulitkan dalam analisis pola penjualan dan dapat menyebabkan kekurangan atau kelebihan stok. Penelitian ini bertujuan untuk mengembangkan sistem klasifikasi penjualan berbasis web menggunakan algoritma K-Nearest Neighbor (KNN) untuk membantu pengelolaan stok di Apotek Adli. Sistem ini mengelompokkan produk ke dalam tiga kategori sangat laris, sedang, dan rendah berdasarkan data penjualan selama enam bulan terakhir. Metodologi pengembangan yang digunakan adalah metode waterfall dengan tahapan mulai dari analisis kebutuhan hingga implementasi. Sistem dibangun menggunakan teknologi Laravel, PHP, dan MySQL, serta diuji melalui pendekatan white box dan black box. Hasil implementasi menunjukkan bahwa sistem mampu mengklasifikasikan produk dengan baik, memudahkan pengelola dalam merencanakan stok, serta meningkatkan efisiensi pengelolaan apotek secara keseluruhan. Sistem ini juga mendukung pemantauan penjualan dan klasifikasi produk secara real-time melalui antarmuka yang intuitif dan mudah digunakan

This study explores the transformative role of Artificial Intelligence (AI) in enhancing customer experience personalization (CEP) and optimizing marketing strategies (MSO) within digital marketing environments. Grounded in the Technology Acceptance Model (TAM), the research incorporates ethical and privacy concerns (EC) as moderating factors influencing AI adoption and its effectiveness. Using survey data from marketing professionals across diverse industries, the study employs Structural Equation Modeling (SEM) to analyze complex relationships among AI use, CEP, MSO, and marketing outcomes. The findings reveal that AI significantly improves customer engagement and marketing performance by enabling tailored interactions, data-driven segmentation, and campaign optimization. Moreover, ethical and privacy concerns positively moderate these effects, underscoring the necessity of responsible AI practices in sustaining consumer trust and regulatory compliance. By offering empirical insights into the interplay between AI, personalization, strategy, and ethics, this study contributes to both theoretical development and practical guidance for businesses navigating digital transformation. The research highlights AI’s strategic potential in creating sustainable competitive advantage while advocating for ethical safeguards in technology-driven marketing.

The Soerakarta Walking Tour (SWT) is an innovative urban tourism initiative that integrates cultural preservation, environmental sustainability, and inclusivity. This study examines how SWT's promotes green tourism through a mixed-methods approach, combining quantitative surveys and qualitative interviews with participants. The quantitative findings reveal high levels of participant satisfaction, including understanding green tourism principles and satisfaction with cultural storytelling. Qualitative data complement these results, highlighting participants’ appreciation for Muslim-friendly facilities, opportunities for cultural learning, and the promotion of local economic and environmental sustainability. The study applies the frameworks of Integrated Marketing Communication (IMC) and Social Marketing to analyze how SWT delivers consistent and engaging messages while fostering behavioral change. The findings show that SWT successfully inspires participants to adopt sustainable practices, though some variability in the visibility of green tourism principles suggests room for improvement.

The transition from Society 5.0 to Society 6.0 presents significant challenges and opportunities in shaping early childhood character. This article aims to explore how technological evolution, particularly artificial intelligence, the Internet of Things, and robotics, influences the values education of young children. Using a qualitative literature review with an analytical-descriptive approach, this study analyzed open-access sources from 2019 to 2024, complemented by key foundational theories. The findings highlight the need for a holistic strategy involving schools, families, communities, government, and industry in shaping future-ready character. Key thematic areas include digital literacy, ethical technology use, emotional intelligence, and collaborative synergy across sectors. The study proposes a conceptual framework that integrates human values with digital advancements to support sustainable, inclusive character development in early childhood. These insights are expected to serve as a foundation for policy, curriculum, and innovation in early childhood education in the Society 6.0 era.

Nipah Panjang Village in Kubu Raya Regency, Indonesia, has diverse mangrove forest vegetation. Meanwhile, the mangrove forest in Nipah Panjang Village has the potential threat of deforestation, so it is necessary to develop a management strategy. A mangrove management directive can be compiled with mangrove biophysical data and the social conditions of the surrounding community. Therefore, this study aims to examine the distribution of mangrove forest areas and their utilization by the community in Nipah Panjang Village. The method used in this study was GIS analysis to determine the distribution of mangrove forest areas. In this study, observations and interviews were carried out to determine the use of mangrove forests. The study results show that from 2013 through 2018, there was around 3.12 Ha of deforestation. Deforestation that occurred was much lower than the previous year. It was due to the implementation of a devolution policy that granted village forest permits in Nipah Panjang Village. Currently, the forms of utilization of mangrove forests in Nipah Panjang Village are the farming (apiculture)  of kelulut honey, forest honey farming, and crab farming with the concept of silvofishery and the development of ecotourism. This form of utilization needs to be maximized so that the community's welfare increases, ultimately maintaining the mangrove forest.