Assertive is a form of learning that forms the identity of an individual. Assertive ability can also bring up communication skills that can assist individuals in carrying out their social demands. Assertive behavior is important for children to have to prevent sexual violence, bullying and communication difficulties in children. The purpose of this study was to determine the effectiveness of pop up books in increasing assertiveness in children. The method used in this study is an experimental research method which uses a pre-test post-test control group design. Data collection was carried out through observation with the checklist recording technique. Data analysis used is descriptive analysis. The subjects in this study were class II children of SD Negeri Padang Lua for the 2022/2023 academic year, aged 8-9 years. Based on the results of the pre-post test analysis, there was a significant difference in the form of an increase in assertive behavior in the experimental group. This proves that the use of pop up books is effective in increasing assertiveness in children. It is hoped that future researchers will implement this research in a more conducive environment and with a longer intervention time.

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 research aims to analyze meta data related to the use of Photomath application as a computational implementation in the form of mathematical software, namely by looking at the research objectives that relate mathematical solutions using the application. This research used the Systematic Literature Review (SLR) method. This systematic review identified 7 studies through the Google Scholar database published in 2020-2024. Data collection was carried out by collecting all articles related to the use of photomath in solving mathematical problems with selection criteria and using the PRISMA protocol as a research instrument guideline. The results showed that math software, namely photomath, can make it easier for students, especially those who are not proficient in learning math, this software can help solve math problems practically by taking pictures, this application can also be used as a virtual learning media, teaching materials related to many materials such as decimals, fractions, arithmetic, simple linear equations, algebra to simple calculus.

The development of a web-based Child Information System at Posyandu Cilongkeang, Dirgahayu Village, aims to address the challenges of manual record-keeping, which is time-consuming, prone to loss, and causes data errors. This system is designed to support child health recording activities, providing fast and accurate nutritional status information of toddlers. The research method involved observation, interviews, and system testing, including User Acceptance Testing (UAT). The result shows that this web-based information system improves operational efficiency and data accuracy at the posyandu, while also providing IT training to posyandu cadres. The system has proven effective in reducing recording errors and speeding up the reporting process

Stingless bee (Trigona sp.) cultivation presents significant potential for livestock diversification, improved food security, and rural economic development. Although this practice offers clear advantages, including low maintenance requirements, minimal environmental risk, and the high nutritional and commercial value of its honey, its adoption in Lempake Subdistrict, North Samarinda, East Kalimantan, remains limited. This situation is primarily due to a lack of community awareness and technical knowledge in apiculture. In response, a community service program was conducted on 10 May 2025 by lecturers from the Faculty of Agriculture, Mulawarman University, in collaboration with local farmer groups and supported by the Samarinda City Government. The program provided structured training through field visits, lectures, interactive discussions, and practical demonstrations at selected apiaries. Post-training evaluations showed a substantial improvement in participants’ understanding of colony management, hygienic honey harvesting, and the economic prospects of stingless bee products. Additionally, the program encouraged entrepreneurial interest and supported the development of value-added functional food products based on local resources. These findings indicate that targeted training and institutional collaboration are effective in promoting sustainable stingless beekeeping practices. Future initiatives should focus on continued technical support and the integration of apiculture products into local and digital markets to enhance competitiveness and economic impact.

This study aims to improve the early reading and writing skills of first-grade students at SDN 101280 Gunung Tua Tonga in the 2024/2025 academic year through the implementation of the Inkaber model (Inductive Picture-Word Model). The background of this research is based on the low early literacy skills of students, indicated by an average score of 1.39 on a 1–4 scale, as well as the minimal use of media and engaging learning approaches. This research is a Classroom Action Research (CAR) using the Kemmis & McTaggart model, conducted in two cycles, each consisting of planning, action, observation, and reflection stages. The objectives of this study are to describe the initial conditions of students' reading and writing skills, to portray the learning process using the Inkaber model, and to explain the improvement in literacy performance after the implementation. The results showed that the application of the Inkaber model significantly improved students’ reading and writing skills. In the initial condition, the average writing score was 58.5 and the reading score was 60.2, with most students not meeting the Minimum Competency Criteria (MCC). After two cycles of implementation, all students met the MCC with an average writing score of 85.24 and reading score of 84.70. The conclusion of this study is that the Inkaber model is effective for use in early literacy learning. The combination of visual media, interactive approaches, and contextual learning strategies made the lessons more engaging and meaningful for lower-grade students. This model is recommended as an alternative for improving early reading and writing skills in elementary schools.

Artikel jurnal ilmiah terus meningkat setiap tahunnya, sering kali mempersulit pembaca dalam menyaring informasi inti secara efisien. Informasi yang kurang efisien membuat pembaca harus membaca ulang artikel sehingga memerlukan banyak waktu. oleh karena itu, dibutuhkan sebuah alat untuk menemukan inti informasi dari artikel jurnal ilmiah secara cepat dan efisien. Untuk mengatasi masalah ini, peringkasan teks secara otomatis diperlukan, khususnya untuk artikel jurnal ilmiah berbahasa indonesia. Penelitian ini mengembangkan sistem peringkasan teks otomatis menggunakan metode Fuzzy C-Means dan Vector Space Model menggunakan pembobotan kalimat TF-IDF (Term Frequency Invers Document Frequency). Evaluasi sistem menggunakan metriks ROUGE-1 dan ROUGE-2. Hasil pengujian menunjukkan bahwa sistem terbaik, pada tingkat kompresi 30% serta menggunakan stemming memberikan hasil terbaik dan seimbang, dengan rata-rata ROUGE-1 Precission 0.5331, Recall 0.5034, F1-Score 0.4975 dan Accuracy 0.5183. Hasil penelitian ini menunjukkan bahwa model dengan stemming lebih disarankan untuk menghasilkan ringkasan yang lebih relevan dan akurat pada tingkat kompresi yang lebih tinggi.
 
Kata kunci: Fuzzy C-Means, Vector Space Model, Peringkasan Teks

Ngesrepbalong Village in Limbangan District, Kendal, is known to be prone to landslides. Landslide mitigation through planting deep-rooted trees. This village was classified as a developing village until the end of 2023. Efforts to realize Ngesrepbalong as an avocado center required intensifying superior avocado cultivation, which involved mass availability of seeds. The problem was that the rootstock in avocado grafting was limited because one avocado only produced one seed. The production problems of the target partners of "Gunung Berkah" were overcome through socialization, training, implementation, assistance, monitoring and evaluation, and ensuring its sustainability by splitting avocado seeds/embryos into at least 2 or more. The community service activities showed that 100% of seed splitting results succeeded in growing into standard rootstock, which then became 150 superior avocado seedlings through grafting. The difference in rootstock was only in its height. For the efficiency of rootstock propagation for the Gunung Berkah group in the future, it is recommended that seed/embryo splitting be combined with the treatment of cutting the bottom of the avocado seed, giving growth hormones, and using the right planting media. The availability of avocado rootstock accelerated the availability of seeds for the intensification of superior avocado cultivation towards the realization of Ngesrepbalong as a superior avocado center.

Diesel engines are essential for transporting heavy loads, requiring significant engine power. This study aims to evaluate the effect of adding PTT (diesel fuel conditioner) additives to Dexlite fuel, focusing on mixtures of D0, D1, and D2. Additionally, variations in fuel pre-heating and engine cooling system fluids are examined. This research employs an experimental approach with descriptive analysis. The findings indicate that the optimal torque occurs with the D2 mixture, achieving 136.57 N·m at 2267 rpm with standard coolant, 152.03 N·m at 2100 rpm with a 50%:50% fluid ratio, and 160.70 N·m at 2033 rpm with a 30%:70% fluid ratio, all without pre-heating. The optimal power values for the D2 mixture are 74.60 HP at 4600 rpm with standard fluid, 75.23 HP at 4100 rpm with a 50%:50% fluid ratio, and 78.03 HP at 4000 rpm with a 30%:70% fluid ratio, also without pre-heating. The average results show that the D1 and D2 mixtures improve torque values by 0.77% and 4.75%, respectively, and enhance power by 0.19% and 1.53% compared to pure Dexlite. In contrast, pre-heating at 50°C, 60°C, and 70°C resulted in a decrease in torque of 1.00%, 2.26%, and 3.62%, respectively, and a reduction in power of 0.56%, 2.29%, and 4.79% compared to normal temperature conditions.

Agriculture is a vital component of the economy and livelihoods in Indonesia, particularly in Sukamaju village, West Java, Indonesia. Many local farmers rely on traditional farming management methods, which hinder efficiency and productivity due to challenges such as manual data entry, inadequate tracking of crop yields, and limited avenues for product promotion. To address these issues, an Agricultural Management Web Application was developed to streamline the management of agricultural activities within the community. This user-friendly platform allows farmers to input and monitor essential data about their crops, thereby enhancing informed decision-making. Additionally, the application features a blog system for promoting agricultural products, helping farmers reach a wider audience and improve their sales prospects. Key objectives of the application include improving documentation and monitoring of agricultural processes, fostering community engagement through knowledge sharing, and providing promotional tools for farmers. By leveraging technology, this initiative aspires to establish a sustainable agricultural environment that supports the growth of the farming community in Sukamaju village. In the future, this application can be expanded to create a more comprehensive supply chain management system for farmers in a broader area. The feature also can be expanded so that the farmers can connect to the other players whether in the upstream and the downstream.