The purpose of the study was to determine the description of juvenile delinquency behavior that occurs in students. The study used a descriptive research method in which the author tried to reveal and describe how Juvenile Delinquency in Students of SMAN X Lengayang in Pesisir Selatan. Descriptive research is one type of research that aims to describe systematically, factually, and accurately about the facts and characteristics of a particular population. From the tests that have been carried out, the results obtained are that the level of juvenile delinquency is included in the moderate category. In the gender category, 27 male students have a moderate level of delinquency and 36 female students have a moderate level of delinquency. As for the class category, class 10 has 22 people, class XI 17 people and class XII 24 people with a moderate level of delinquency. The highest level of delinquency is in class XII, this is due to the feeling of being the most senior in school.

Tanjak Palembang, as a cultural heritage typical of South Sumatra, has high historical and aesthetic value. Although it was once only worn by the nobility, now tanjak has become part of the cultural identity that can be worn by anyone. In the digital era, marketing of traditional cultural products such as tanjak faces challenges from modern products and consumer accessibility. This study aims to analyze the optimal strategy in utilizing e-commerce platforms, such as Tokopedia, Bukalapak, and Blibli, to increase the appeal, sales, and preservation of the Palembang tanjak culture. The research method used is qualitative descriptive, with primary data collection through interviews and observations, as well as secondary data from literature and industry reports. The results of the study indicate that the use of e-commerce platforms significantly expands market reach and increases brand awareness of the Palembang tanjak. However, business actors also face challenges such as tight price competition and lack of knowledge in digital marketing. Therefore, the right strategy is needed, including training for MSMEs and improving the quality of digital content. Overall, e-commerce optimization has proven effective in increasing the marketing of Palembang tanjak, with the hope of collaboration between business actors, the government, and e-commerce platforms to support the development of local products.

The application of machine learning, particularly the *Convolutional Neural Network* (CNN) method, has experienced rapid development in the medical field. Through the process of image data grouping, CNN is capable of classifying based on the similarity of characteristics and attributes of the images. This capability is highly beneficial in the healthcare sector, especially in differentiating chest X-ray images. This study aims to evaluate the DenseNet architecture while applying it to classify Covid-19 disease by utilizing 98 chest X-ray images as training data. The test results showed that the average *loss* value on the training data was 0.8621, with an average accuracy of 0.6950. Meanwhile, the average *loss* value on the validation data was recorded at 1.0682, with an average accuracy of 0.6399. From these results, it can be concluded that the model performed better on the training data than on the validation data, indicating the occurrence of *overfitting*. Therefore, further adjustments to the model are necessary to improve its performance on the validation data

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

Micro, Small, and Medium Enterprises (MSMEs) are an important sector in Indonesia's economy. However, many MSME actors still face challenges in managing financial reports in a simple and effective manner. One solution is to utilize an accounting application based on Microsoft Excel, which is easy to operate and requires no additional costs. This community service activity aims to provide training and mentoring for MSME actors in using Excel-based accounting applications to record transactions, prepare simple financial statements, and monitor the financial condition of their businesses. The implementation of this activity was carried out online through Zoom Meetings and WhatsApp Groups. The methods used included socialization, interactive online training, and online mentoring. The results of the activity showed that participants were able to understand the basic concepts of accounting records and were capable of using a simple Excel application to record daily transactions, prepare income statements, and cash flow reports. This activity is expected to improve financial literacy and the independence of MSME actors in managing their business finances

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.

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.

The COVID-19 pandemic requires banks to be able to provide electronic-based transactions, carry out digital transformation, and also open up opportunities for financial technology-based companies. An example of this transformation is the first Sharia-based digital bank such as Aladin Digital Bank. This study aims to analyze the effect of perceived usefulness, perceived credibility, and features on the decision to use Aladin Digital Bank in the Pekalongan Regency and City in the New Habit Era. This study uses primary data with 20 statement items distributed through Google Forms and questionnaires with quantitative methods to the people of the Pekalongan Regency and City who have used the Aladin Digital Bank application. The number of samples was 97 respondents using the purposive sampling method. The data analysis technique uses multiple linear regression analysis with the help of SPSS version 26 software with a significance level of 5%. The results showed that the perceived usefulness variable had a positive and significant effect partially, while the perceived credibility and feature variables had no positive and significant effect partially. However, the variables of perceived benefits, perceived trust, and features have a positive and significant impact simultaneously.

Osamu Dazai’s No Longer Human is one of the most devastating Japanese literature that portrays the inner turmoil of human beings in a very emotional way. The main character, Oba Yozo, is characterized by alienation, despair and identity crisis. This study is meant to identify the types of emotional expressions that appear in the original text and trace the translation techniques used in the two translated versions. The method used is descriptive qualitative with a comparative approach utilizing Molina & Albir’s translation technique theory and Nababan’s translation accuracy indicators. The analysis results show that Keene tends to use literal and amplification translation techniques to preserve the psychological depth of the characters, while Hanafi is more frequently employs modulation and reduction techniques with the aims of simplifying the language style. Some quotations also highlight differences in accuracy levels that impact the conveyance of emotions to readers. The conclusion of this study affirms that translation techniques not only influence sentence structure but also determine how readers interpret the internal conflicts of characters and the atmosphere of the story in the target text

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.