This study aims to analyze the digital marketing strategies implemented by clothing stores in the Telang area from a sharia economic perspective. In the digital era, business actors are required to adapt to technology, including in terms of promotion and marketing. The approach used in this study is descriptive qualitative, with data collection through observation, interviews, and documentation. The results of the study show that most business actors have utilized social media such as WhatsApp, Instagram, and Facebook Marketplace to market their products. The strategies implemented are mostly in line with the principles of sharia economics such as honesty (?idq), openness (tabligh), and amanah. However, some practices that are not in accordance with sharia are still found, such as the use of photos that do not match the original product (gharar) and excessive promotion (tadlis). The main inhibiting factors in the implementation of sharia digital strategies are limited digital literacy and infrastructure. Therefore, ongoing assistance and training in sharia-based digital marketing are needed to improve understanding and business practices in accordance with Islamic values.

This study investigates the solutions of electrical current in linear circuit systems using two numerical methods implemented in MATLAB: the Matrix Inverse Method and the Gauss-Jordan Elimination Method. The objective is to analyze the effectiveness, accuracy, and computational efficiency of both techniques in solving systems of linear equations derived from Kirchhoff's laws. Several circuit models with varying levels of complexity are tested to compare results obtained from each method. The findings indicate that both methods yield consistent solutions, although differences in computational steps and processing time are observed. This research highlights the practicality of MATLAB as a powerful tool for electrical circuit analysis and provides insights into the selection of appropriate numerical methods for solving engineering problems.

This study analyzes the performance patterns of students at Madrasah I’dadiyah Sukorejo using data mining methods, specifically clustering. The analyzed factors include exam scores and participation in extracurricular activities, as both are considered to significantly influence academic performance. Exam scores reflect mastery of subjects, while extracurricular activities often positively impact students' social skills and learning motivation.[1] The K-Means algorithm was selected to classify students into three main groups: high-performing, average-performing, and low-performing students. The clustering results are expected to provide strategic guidance for the school to improve the quality of education. Low-performing students can receive additional guidance or motivational training, while average-performing students can be encouraged to participate more actively in extracurricular activities to enhance interpersonal skills. Understanding these performance patterns helps the school design more effective programs to maximize students’ academic potential based on their needs. This study also opens opportunities for further exploration of other factors affecting academic performance, such as family conditions and the home learning environment. Thus, this approach becomes an essential step in creating a more inclusive and high-quality education system.

This study discusses the business feasibility analysis of MSMEs in basic food businesses in Keramean Village by considering legal, marketing, and financial aspects. Researchers use a quantitative approach with the least square method. Collection of data on the sale of basic food prices through interviews with business owners. This study aims to identify the potential success of basic food businesses and provide input for business owners in understanding the challenges and opportunities faced. The evaluation results show that April sales are more relevant than the previous month, this can happen because there is an increase in profit every month. This basic food business has great profit potential if managed properly, so it can be considered a promising business opportunity for MSMEs.
 
 
 

Kebutuhan air bersih yang terus meningkat dan cakupan pelayanan yang kurang tersebar ke berbagai daerah di Kabupaten Jember menjadi latar belakang adanya perencanaan ini. Kecamatan Sukowono masih belum terlayani ada jaringan perpipaan dari PDAM. Perencanaan ini bertujuan untuk merencanakan sistem distribusi air minum di Kecamatan Sukowono pada 5 Desa Prioritas. Fokus penelitian ini adalah terhadap pembentukan District Meter Area (DMA) di Desa Sukowono karena kepadatan penduduk yang tinggi. DMA dipilih dikarenakan sudah efektif dan terbukti dalam mengoptimalkan jaringan yang kecil terjadi kebocoran air. Hasil perencanaan penelitian ini berupa jaringan perpipaan SPAM dengan sumber air gayam debit 75 l/detik menggunakan sistem bercabang, pengaliran secara pompa pada elevasi tinggi dan gravitasi pada elevasi rendah, peta pembagian blok pelayanan dan DMA serta hasil analisis hidrolis menggunakan EPANET. Dari hasil,analisis. EPANET diperoleh tekanan terendah 14.76, tekanan tertinggi yaitu 69,18 m. Pada jam puncak tekanan terendah yaitu 11,43 m dan tekanan tertinggi pada 62,58 m. Kecepatan terendah yaitu 0,30 m/s dan tertinggi 0,71 m/s.  Sedangkan untuk kecepatan pada jam puncak terendah 0,58 m/s dan tertinggi 1,37 m/s. Pompa yang digunakan yaitu jenis submersible tipe inline single stage pumps. Pipa dalam perencanaan ini menggunakan rucika black dengan diameter terkecil 32 mm dan terbesar 500 mm.