Tilapia (Oreochromis niloticus) is a freshwater fish that is in great demand by the public because it has a thick meat texture and an affordable price. The problems faced in aquaculture activities are the high cost of feed and the length of cultivation time. Feed is a vital component in aquaculture activities, therefore feed efficiency is needed to minimize production costs. The addition of fermented moringa leaf extract in pellets is expected to accelerate the growth period. This study aims to determine the effect of the addition of fermented moringa leaf extract on tilapia growth rate. This study used a complete randomized design (CRD) method with 4 treatments, namely the addition of moringa leaf extract to pellets with concentrations of 0%, 25%, 30%, 35%. The treatment was carried out for 28 days. Parameters observed in this study were fish growth including fish length, fish weight, survival rate (SR), food conversion rate (FCR) and water quality in the form of temperature, pH and DO. The data were analyzed using anova and SPSS application. The results showed that the addition of fermented moringa leaf extract with concentrations of 0%, 25%, 30% and 35% in tilapia (Oreochromis niloticus) feed for 28 days had a significant effect on tilapia growth.
 

Vertiqua is an innovation in vertical cultivation on limited land and water. Vertiqua continues to be developed to be effective in cultivating fish. This research aims to examine the effectiveness of nitrogen distribution in vertiqua using biofical top filters. The analysis used is quantitative analysis by calculating and testing the data that has been collected. Total nitrogen feed input, total nitrogen wasted, and percentage of nitrogen absorption were calculated using existing formulas. Comparative testing using the T – test on the Mini Tab application was carried out to test the effectiveness of nitrogen absorption. The research results showed that nitrogen absorption in the vertiqua using the top biofical filter was effective, ranging from 198,12 – 200,89 mg/l. Nitrogen absorption in the vertiqua without using a biofical top filter ranges from 42,75 – 43,35 mg/l. The distribution value of effective nitrogen absorption in vertiqua using the top biofical filter is shown by a P value <0,05. Vertiqua with a biofical top filter is also able to reduce nitrogen levels so that fish survival is good.

Crayfish is one of the fishery commodities that has high economic value, behind having high economic value in lobster cultivation there are several things that need to be considered, namely the conditions of the cultivation environment, feed, and water quality, based on the findings in the field of crayfish cultivators inukabumi have innovations in feed making, this is done to reduce feed production costs, the feed innovation is a mixture of pellets, conch and cassava, with a ratio of comparison in tub 1 P: 1 K: 1 S: 1.4 tub 2 P: 1, K: 1.4 S.: 1, and tub 3 100% pellets, this feed has never been tested to determine the nutritional content of the feed, in this study conducted to test the effectiveness of feed for crayfish growth, while the test results show that the proximate value in tub 1 is 20.55% Protein, tub 2 is 14.32% Protein and tub 39.41% Proterin in this study conducted 3 tubs and each stocked 100 e / tub, this study was conducted for 14 days of maintenance, and feeding is done 2 times a day, the results of this study indicate that the survival rate is low, with SR values in tub 1, (22%) tub 2, (23%) and tub 3 (10%), this is influenced by inappropriate feed, and water quality that is not in accordance with predetermined quality standards, and during the maintenance of crayfish many were found dead due to molting failure with a size of> 9.2 cm, so that the feed used is inappropriate
 
 
 

The use of e-commerce in the world of trade has had a huge impact on Indonesian society, this is related to very important legal issues. The importance of legal issues in the field of E-commerce, especially in providing legal protection for consumers who carry out buying and selling transactions via the Internet. This development emerged due to offers and acceptance from the public, as evidenced by the emergence of various online stores such as Kaskus, Tokopedia, Bukalapak, Shopee and Lazada. This research aims to find out and analyze legal protection for consumers in online buying and selling transactions (e-commerce) and to find out and analyze legal remedies that can be taken by consumers if there is a default in online buying and selling transactions (e-commerce). The approach method used in this research is a normative juridical approach. The specification of this research is descriptive analysis. The data source used is secondary data, which consists of primary, secondary and tertiary law. The data collection tool is library research. The data analysis technique used is qualitative analysis. The results of this research and discussion are legal protection for e-commerce users by upholding consumer rights in accordance with Law Number 8 of 1999 concerning Consumer Protection articles 19, 20, 21, 24, and 26 and regulations related to the implementation of online buying and selling (e-commerce) and the implementation of consumer protection is also supported by involving several parties such as the government, national consumer protection bodies and non-governmental consumer protection institutions. Legal efforts that can be taken to resolve defaults in Law Number 8 of 1999 concerning Consumer Protection are litigation and non-litigation.
 

The percentage of teachers teaching outside their field is 22.1%, with an average UKG test score of only 40.71, indicating a significant lack of professionalism. This is attributed to inadequate education, motivation, and dedication to their work. This research aims to explain the school culture at SD Islam Al-Azhar 14 Semarang used to shape professional teachers. The study employs qualitative methods with a case study approach, gathering data through interviews with principals, teachers, staff, and students. Data processing involves condensation, data presentation, and conclusions. Data validity is ensured through triangulation of techniques and sources. Results show that the communication culture at SD Islam Al-Azhar 14 Semarang emphasizes teacher professionalism through a unique system to build solids working relationships and maintain a strong culture. Integrated management aligned with the school's vision and mission, along with continuously updated structured planning, reflects discipline in adherence to regulations. External collaboration, including foundation oversight of principals and support from parents, strengthens synergy among teachers, principals, and staff. Conclusion: The implemented school culture helps in shaping teacher professionalism.

Damage to the education management system is often caused by ineffective school principal leadership. The success of educational institutions depends greatly on the ability of madrasa heads to carry out management functions such as planning, organizing, directing, and controlling. This research uses qualitative methods by collecting data through interviews, observation, and documentation at State Islamic High School 3 Central Tapanuli. Next, the data was analyzed through the stages of reduction, analysis, and drawing conclusions. The results of this research identify several important points related to management at State Islamic High School 3 Central Tapanuli. First, analyze the role of school principals in improving institutional performance through good leadership. Second, strategic planning involving staff participation contributes to the establishment of clear educational goals. Third, optimal organization with a structured division of tasks increases coordination and operational efficiency. Fourth, inspirational guidance from the madrasa head motivates teachers and staff to contribute optimally. Lastly, regular control ensures that the quality of education is maintained through continuous evaluation and improvement. Overall, this research confirms that the success of educational institutions is highly dependent on the effective implementation of management functions.

Data Terpadu Kesejahteraan Sosial (DTKS) bertujuan untuk memahami data mengenai individu dan keluarga miskin atau kurang beruntung sehingga pemerintah dapat menetapkan kebijakan sosial yang tepat. Namun data di DTKS seringkali tidak akurat dan banyak mengandung duplikat. Untuk mengatasi permasalahan tersebut, penelitian ini menggunakan teknik analisis data eksploratif (EDA) dan visualisasi data dengan bantuan Google Colaboratory. Penelitian ini menggunakan data DKI Jakarta yang berjumlah 1,04 juta orang. Kami menganalisis berbagai faktor seperti usia, menerima atau tidaknya tunjangan kesejahteraan, latar belakang pendidikan, dan status pekerjaan. Hasilnya menunjukkan Jakarta Timur memiliki jumlah penduduk miskin dan pengangguran terbanyak. Rendahnya tingkat pendidikan merupakan salah satu penyebab  utama kemiskinan, dimana mayoritas penduduk hanya mengenyam pendidikan sekolah dasar atau sederajat. Selain itu, Jakarta Timur juga menjadi wilayah dengan jumlah penerima Kartu Indonesia Pintar (KIP) terbanyak. Kesimpulan penelitian ini adalah bahwa program dan kampanye kesadaran tentang pentingnya pendidikan dan keterampilan kejuruan perlu diperkuat untuk mengurangi kemiskinan dan pengangguran.
 
Kata kunci: Exploratory Data Analysis, EDA, DTKS, Visualisasi

Pemilihan rumah sakit untuk layanan medis merupakan faktor penting dalam  menyediakan pelayanan kesehatan. Namun kenyataannya masayarakat sering mengalami kesulitan dalam menentukan rumah sakit terbaik. Penentuan rangking Rumah Sakit sangat penting karena dapat berpengaruh dalam kinerja yang diberikan dalam setiap rumah sakit. Tujuan penelitian ini adalah untuk menghasilkan kriteria dan urutan Rumah Sakit terbaik yang ada di Kota Kediri. Dalam hal itu peneliti membuat sistem yang merekomendasikan rumah sakit terbaik untuk membentu masyarakat dalam menilai rumah sakit tersebut. Sistem ini menggunakan algoritma TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) untuk menganalisa kriteria, melakukan perhitungan, dan merangking alternatif rumah sakit. Pengumpulan data dilakukan melalui survei online dengan cara kuesioner. Hasil dari perhitungan yang dilakukan secara manual dengan menggunakan Google Spreadsheet dan perhitungan sistem menghasilkan hasil akhir dengan nilai yang akurat. Dari hasil perhitungan Rumah Sakit terbaik yang mendapatkan peringkat tertinggi adalah RSUD Gambiran dengan nilai (0,764930) diikuti RS Bhayangkara dengan nilai (0,658203) kemudian RSUD Baptis dengan nilai (0,650173) lalu RS Muhammadiyah dengan nilai (0,620741) dan urutan terakhir RS Kilisuci dengan nilai (0,235069).
 
Kata kunci: Rumah Sakit, Sistem Pendukung Keputusan, TOPSIS

Penelitian ini mengeksplorasi penerapan arsitektur deep learning berbasis transformer untuk mengidentifikasi emosi dari ulasan pelanggan e-commerce berbahasa Indonesia. Menggunakan dataset yang terdiri dari 5.400 ulasan pelanggan, model ini dirancang untuk mengklasifikasikan lima kategori emosi: Happy, Sadness, Anger, Love, dan Fear. Hasil analisis menunjukkan kecenderungan pelanggan untuk berbagi pengalaman positif dengan dominasi emosi Happy dalam ulasan. Model Transformer berhasil mencapai akurasi klasifikasi keseluruhan sebesar 77,2%, dengan efisiensi waktu pelatihan yang optimal sekitar 90 detik. Evaluasi performa menggunakan confusion matrix dan metrik presisi, recall, dan F1-score memberikan wawasan tentang keefektifan model dalam membedakan emosi kompleks. Temuan ini merefleksikan potensi pemanfaatan teknologi deep learning dalam meningkatkan pemahaman terhadap perilaku pelanggan dan mendukung pengembangan strategi bisnis yang responsif.
 
Kata kunci: Transformer, Ulasan Pelanggan, Klasifikasi Emosi

Aplikasi web interaktif untuk pembelajaran anak usia dini tentang pengenalan hewan merupakan alat edukatif yang penting, dirancang untuk membantu anak-anak mengenali berbagai jenis hewan melalui gambar dan deskripsi hewan yang disediakan. Model Convolutional Neural Network (CNN) digunakan untuk mengklasifikasikan gambar hewan yang diunggah oleh pengguna. Metode yang digunakan melibatkan pengolahan gambar menggunakan CNN untuk mengidentifikasi jenis hewan berdasarkan gambar yang diberikan, kemudian hasil identifikasi ditampilkan dalam antarmuka web yang interaktif. Hasil pengujian menunjukkan bahwa model CNN mencapai akurasi sebesar 59.93% dan presisi sebesar 59.92%. Namun, model mengalami masalah overfitting, yang terlihat dari performa yang lebih tinggi pada data pelatihan dibandingkan dengan data validasi, menunjukkan bahwa model terlalu mempelajari detail dan noise pada data pelatihan sehingga kurang mampu menggeneralisasi pola pada data baru. Oleh karena itu, diperlukan optimasi lebih lanjut seperti augmentasi data, regulasi model dan peningkatan jumlah data pelatihan untuk meningkatkan performa model dan mengurangi efek overfitting. Pengujian akurasi pengenalan gambar hewan pada aplikasi web ini dilakukan menggunakan dataset gambar hewan yang baru sebanyak 10 data gambar untuk masing-masing kelas, dengan nilai akurasi rata-rata untuk semua kelas hewan sebesar 54.67%. Dari 15 kelas hewan, nilai akurasi tertinggi diperoleh oleh kelas Zebra dengan nilai akurasi 90%, sedangkan kelas hewan Laba-Laba dan Kucing menjadi kelas hewan dengan nilai akurasi terendah sebesar 20%.
 
Kata kunci: Convolutional Neural Network (CNN), Aplikasi web interaktif, Pengenalan hewan, Klasifikasi gambar.