Penelitian ini mengkaji tantangan dan strategi yang dihadapi oleh musyrif-musyrifah Mabna Arrazi dalam pelaksanaan Shobahul-Lughoh di Ma’had Sunan Ampel Al-‘Aly, UIN Maulana Malik Ibrahim Malang. Shobahul-Lughoh, sebagai program unggulan yang berbasis pesantren, bertujuan untuk menciptakan generasi mahasantri yang unggul dalam penguasaan bahasa Arab dan Inggris serta memiliki karakter religius yang kuat. Dengan menggunakan pendekatan kualitatif melalui metode wawancara mendalam, observasi, dan analisis dokumen, penelitian ini mengidentifikasi tantangan utama, seperti keterbatasan jumlah tenaga musyrif-musyrifah, minimnya fasilitas pendukung, dan adanya kesenjangan kurikulum bagi mahasantri baru tahun 2024. Pengembangan bahan ajar berbasis interaksi telah menunjukkan efektivitas dalam meningkatkan motivasi dalam pembelajaran bahasa. Meskipun demikian, strategi kreatif seperti pengelompokan belajar berdasarkan tingkat kemampuan dan pendampingan intensif oleh musyrif-musyrifah terbukti efektif dalam meningkatkan motivasi dan keterlibatan mahasantri. Penelitian ini tidak hanya memperkaya wacana mengenai pembelajaran berbasis pesantren, tetapi juga menawarkan pendekatan strategis untuk mengoptimalkan pembelajaran di lingkungan asrama. Dengan fokus pada solusi, studi ini memberikan kontribusi signifikan terhadap pengembangan sistem pembelajaran yang sesuai dengan tantangan di era globalisasi.

Generation Z, which includes individuals born between the mid-1990s and the early 2010s, faces various significant social and economic challenges in the modern context. This journal explores key issues faced by Gen Z, including mental health, education costs, job market uncertainty, and social isolation. Additionally, the research identifies the impact of social media and changing social values on their well-being. Through in-depth analysis, this journal proposes a series of mitigation strategies, such as enhancing financial education, improving access to mental health services, and providing skills training relevant to industry needs. By focusing on implementable solutions, this journal aims to offer valuable insights for educators, policymakers, and society in supporting Generation Z in navigating the complex challenges of the digital era.

Penelitian ini bertujuan untuk menganalisis pengaruh bahasa daerah terhadap pola komunikasi mahasiswa Magister Pendidikan Bahasa Arab di UIN Maulana Malik Ibrahim Malang. Sebagai negara dengan keragaman budaya dan bahasa yang kaya, Indonesia menghadirkan fenomena penggunaan bahasa daerah yang beragam dalam lingkungan pendidikan tinggi, yang mempengaruhi pola komunikasi mahasiswa. Melalui pendekatan kualitatif deskriptif dengan metode survei, data dikumpulkan menggunakan kuisioner yang mencakup pertanyaan tertutup dan terbuka. Hasil penelitian menunjukkan bahwa perbedaan bahasa daerah berpengaruh signifikan terhadap pola komunikasi, baik dalam konteks formal maupun informal. Sebagian besar mahasiswa mengakui bahwa perbedaan bahasa daerah meningkatkan kemampuan beradaptasi, toleransi, dan pemahaman antarbudaya. Namun, juga terdapat tantangan berupa kesalahpahaman dalam komunikasi. Analisis statistik menggunakan perhitungan persentase dan uji Chi-Square memperkuat temuan ini, menunjukkan adanya hubungan signifikan antara penggunaan bahasa daerah dan kesulitan dalam komunikasi formal. Penelitian ini menyarankan pentingnya pengelolaan penggunaan bahasa daerah dalam konteks akademik untuk meningkatkan efektivitas komunikasi.

This study aims to identify character education of patriotic attitudes of loving the motherland and defending the country in elementary schools and showing phenomena that occur in the field regarding patriotic attitudes and defending the country, the responses of students and teachers to various character education activities, and the efforts made so that students gain knowledge about patriotic attitudes of love for the motherland and defending the country. This research is a research using a qualitative approach by looking for various theoretical descriptions, findings and other research materials obtained from reference materials to serve as the basis for activities. The research results show that the character of loving the motherland has been instilled since school days, one of which is with ceremonial activities in which there are many activities that will foster love for the motherland from each student such as flag raising, singing Indonesia Raya songs and various other national obligatory songs, reading texts pancasila, the mandate of the ceremony and even remembering the services of the heroes by praying and not forgetting to also use complete uniforms and attributes according to the rules that are included in the activities of loving the country. With the conclusion that instilling the character of loving the homeland is very necessary to start from elementary school so that it can be embedded in the memory of each student properly.

Artikel ini akan membahas faktor-faktor yang mempengaruhi elastisitas permintaan, metode pengukurannya, serta implikasi dan strategi yang dapat diterapkan oleh perusahaan berdasarkan konsep ini. Faktor utama yang memengaruhi elastisitas permintaan di antaranya adalah ketersediaan barang substitusi, proporsi pendapatan yang dihabiskan untuk barang tersebut, serta jangka waktu yang diberikan untuk merespons perubahan harga. Semakin banyak alternatif yang tersedia bagi konsumen, semakin elastis permintaan suatu barang. Pemahaman mendalam tentang elastisitas permintaan memungkinkan perusahaan membuat keputusan harga lebih cerdas. Dengan mempertimbangkan faktor-faktor yang mempengaruhi elastisitas dan menganalisis kondisi pasar, perusahaan dapat memaksimalkan pendapatan dan pangsa pasar. Analisis elastisitas ini membantu mengidentifikasi segmen pasar yang responsif terhadap perubahan harga untuk mengembangkan strategi pemasaran efektif. Selain harga, kualitas produk, citra merek, dan layanan pelanggan juga mempengaruhi permintaan. Mengintegrasikan faktor ini dalam keputusan harga membantu perusahaan tetap kompetitif dan adaptif

K-Means dan K-Medoids digunakan untuk menilai indikator sosial ekonomi dan kesehatan di Provinsi Jawa Timur tahun 2023 melalui metode klasterisasi. Dengan menggunakan Principal Component Analysis (PCA) untuk mereduksi dimensi variabel, penelitian ini mengelompokkan wilayah berdasarkan karakteristik sosial ekonomi dan kesehatan. Data yang dianalisis termasuk angka harapan hidup, tingkat kemiskinan, pengangguran, dan akses ke layanan kesehatan. Kebaruan penelitian ini terletak pada kombinasi unik antara PCA dan K-Medoids untuk menghasilkan klaster yang lebih akurat dan robust terhadap outlier, dibandingkan metode yang biasanya hanya menggunakan satu teknik klasterisasi atau tidak melibatkan reduksi dimensi. Hasil penelitian menunjukkan bahwa K-Medoids dengan PCA menghasilkan klaster yang lebih koheren dan terpisah daripada K-Means, terutama dalam menangani outlier. Menurut metode Elbow dan Silhouette, empat hingga lima klaster adalah pilihan terbaik. PCA meningkatkan akurasi dan efisiensi klasterisasi dengan mengurangi kompleksitas data, yang menghasilkan klaster yang lebih baik Diharapkan temuan ini akan membantu pemerintah membuat kebijakan yang lebih baik untuk mengatasi ketimpangan kesehatan dan sosial ekonomi di Jawa Timur.
 
Kata kunci: Klasterisasi, Outlier, Principal Component Analysis (PCA)

The Internet of Things (IoT)-based automatic bell system is designed to enhance the efficiency of bell operations in educational institutions by utilizing modern technology. This research aims to develop a system that can control the bell automatically according to the class schedule, while also enabling remote control via a mobile application using the Blynk platform. The system is built using an ESP8266 as the main microcontroller, a DFPlayer Mini module for audio playback, and an RTC DS1307 for time management. The results show that the system functions as expected, both in automatic mode based on the schedule and in manual mode through the mobile application. Testing and debugging demonstrated that integration with WiFi networks allows for flexible and effective bell control. For further development, it is recommended to add a power backup feature, web interface, and push notifications to improve system reliability and flexibility. This system provides an efficient and practical IoT solution for automating bell operations in educational environments.

Epilepsy, or apoplexy, is a chronic disease characterized by recurrent seizures and impaired consciousness due to disorders of the central nervous system. In developing countries, including in RSU Putri Bidadari, epilepsy management is often hampered by high consultation costs, resulting in suboptimal quality of treatment and patient recovery. To overcome this challenge, a system is needed that can facilitate the diagnosis and treatment of epilepsy more efficiently. By using this method, RSU Putri Bidadari can improve the precision of epilepsy diagnosis and determine more appropriate treatment steps, despite limited resources. The Bayes method, as a statistical approach, offers a potential solution to improve the accuracy of diagnosis through data-based probability estimation of diseases and symptoms reported by patients such as frequent hunger, thirst, urination, weight loss, vaginal infections, easy fatigue, tingling legs, and blurred vision. The analysis results of the system show an estimated probability of 73% for patients suffering from generalized epilepsy. The Bayes method-based system is expected to help RSU Putri Bidadari in providing more effective treatment and improving the overall quality of life of epilepsy patients.

The rapid development of technology increases the need for effective and efficient information. Information that is not managed properly loses value, especially when large amounts of data are available, making conventional methods no longer adequate to analyze the potential of the data. Therefore, a system capable of analyzing, summarizing, and extracting data into useful information is required. The Department of Agriculture and Food Security, as an agency that handles food security, agriculture, animal husbandry, animal health, and fisheries, is responsible for supporting the increase in agricultural yields to meet the food needs of the population and encourage economic growth. To achieve this goal, the agency needs to utilize technology to process agricultural data quickly and accurately. The system built using the apriori method can analyze data efficiently and provide recommendations for increasing agricultural yields. Based on the test results, a support value of 9% and a confidence of 68% were obtained, with the rule If the crop is Cassava, then the production yield is 6000-8000 tons.

Land and Building Tax (PBB) is a type of area regulated by the government in determining the amount of tax for implementation and development as well as increasing the prosperity and well-being of the people. Based on taxpayer compliance data in Tanjung Keliling Plantation, the results of tests carried out using the Clustering algorithm can determine the variables of ownership area, hamlet name and payment level. Clusters 1,2,3 of 600 PBB taxpayer data, namely where cluster 1 has 166 data, can be grouped based on the Ownership Area of "500,001-600,000m2" with the Hamlet Name "Ujung Bangun" and the Payment Level "Quite Good". Cluster 2 consists of 196 data, which can be grouped based on ownership area "200,001-300,000m2" with the hamlet name "Karang Jati" and payment level "fairly good".  And Cluster 3 with a total of 238 data, can be grouped based on the Ownership Area "400,001-500,000m2" with the Hamlet Name "Mojosari" and the Payment Level "Quite Good".