Kekurangan gizi menjadi masalah dalam tumbuh kembang anak yang dapat menyebabkan stunting, wasting, mudah terkena penyakit serta penurunan kecerdasan otak dan mental. Stunting di Kabupaten Sikka pada tahun 2022 sebesar 13,8% dari hasil e-PPGBM periode Bulan Agustus 2022. Untuk mengatasi masalah ini diperlukan klasifikasi status stunting yang sangat berpengaruh terhadap tumbuh kembang anak sehingga dapat memberikan perhatian lebih dari faktor stunting yang paling tinggi di suatu daerah. Dengan bertambahnya jumlah balita dan peningkatan kasus stunting, proses penyelesaian tidak bisa dilakukan dengan cepat. Selain itu, tidak semua petugas posyandu bisa menghitung status gizi balita secara manual. Oleh karena itu, agar orang tua dan kader posyandu dapat mengetahui kondisi anak lebih cepat, diperlukan sistem yang menggunakan model algoritma C4.5. Sistem ini mampu mengolah data numerik (kontinu) dan diskrit. Penelitian ini menggunakan 5 atribut, yaitu usia, inisiasi menyusui dini (Imd), tinggi badan, jenis kelamin, dan berat badan. Keistimewaan penelitian ini adalah penggunaan atribut Inisiasi Menyusui Dini (IMD) yang belum pernah digunakan dalam penelitian sebelumnya dengan data numerik. Penggunaan algoritma C4.5 untuk menganalisis hasil stunting dan menyajikannya dalam bentuk website menghasilkan tingkat akurasi yang tidak jauh berbeda dengan pembagian data latih dan data uji sebesar 92.68 dan 90.98% dengan Max Dept 10.
 
Kata kunci: Algoritma C4.5, Stunting, Balita, Klasifikasi, Website

The purpose of this study was to determine the effect of E-learning-based collaborative learning in reducing students' misconceptions about class heat material. This study used a pre-experimental design with a one-group pretest-posttest design. The sampling technique used purposive sampling. The sample used was 300 grade XI high school students. Student misconceptions were analyzed using the CRI (Certainty of Response Index) method. The results showed that student misconceptions decreased by 26.50% from an average of 54.00% before learning to 27.50% after implementing E-learning-based collaborative learning. Based on the results of the hypothesis test, it can be concluded that e-learning-based collaborative learning has proven effective in reducing high school students' misconceptions regarding the concept of heat. The novelty of this study lies in the integration of cooperative learning with an e-learning platform that is specifically designed to reduce misconceptions about the idea of heat at the Senior High School.

Guna mendukung proses pembelajaran sistem otomasi di sebuah lembaga pendidikan dibutuhkan sebuah alat peraga yang mudah dipelajari dan dimengerti oleh mahasiswa. Tujuan pembuatan alat peraga ini agar peserta didik mengetahui dan dapat mengimplementasikan proses kerja sistem otomasi di industri menggunakan media yang disimulasikan dalam bentuk alat peraga. Alat peraga yang digunakan adalah integrasi PLC-HMI pada aplikasi pengisian tangki air. Alat peraga dirangkai dengan  menggunakan PLC dan HMI merk Omron dengan software CX-Programmer dan NB-Designer. Rangkaian wiring alat peraga PLC-HMI disusun secara teratur dan sistematis agar mudah dibongkar pasang dan disesuaikan dengan diagram wiring oleh peserta didik. Program ladder pada software CX-Programmer didesain dengan menerapkan logika dasar, instruksi dan beberapa fungsi program yang sesuai dengan level kompetensi dasar pembelajaran PLC. Desain tampilan dan fungsi HMI dirancang menggunakan software NB-Designer yang diintegrasikan dengan program ladder, serta disesuaikan penggunaan alamat I/O nya. Wiring alat peraga berfungsi secara normal sehingga seluruh perangkat dapat terkoneksi dengan baik. Program ladder yang telah dirancang dapat berfungsi optimal dan tidak didapati error pada hasil kompilasi. Desain HMI dapat berfungsi secara efektif untuk monitoring proses maupun saat berfungsi sebagai programmable terminal. Secara keseluruhan hasil rancang bangun alat peraga simulasi sistem pengisian tangki air telah diuji coba dan berfungsi sesuai rancangan yang telah ditetapkan.

The increasing demand for skilled human resources in the field of automation by the workforce has encouraged vocational education institutions to align their graduates' competencies with industry needs. Students must be equipped with up-to-date skills in line with technological advancements. Currently, the availability of technical expertise programs in vocational high schools (SMK) that include industrial automation curricula is very limited. This situation does not align with the growing industrial demand for SMK graduates with automation competencies, such as wiring and PLC programming skills. Based on these circumstances, this automation system training based on PLC was conducted as part of a community service program. The activity aimed to enhance the skillsets of vocational high school students, particularly in the machining engineering department. The training utilized PLC-based automation systems with Omron CP1E E30-DR-A controllers. The PLC logic programming was performed using CX-Programmer software. The results of the program showed that most participants could grasp the material well. Moreover, all participants gained new insights and skills in industrial automation systems, which serve as valuable support when entering the workforce.

Breast cancer is cancer that forms in the cells of the breast. It is the most common cancer in women and the leading cause of cancer deaths in women worldwide. Breast cancer is usually divided into two types: benign, or usually called benign and malignant, or usually called malignant. Benign cancers are usually characterized by small, round, tender lumps. In the fields of medicine, finance, marketing, and social science, data mining is a popular tool for performing proven analysis. This study will compare K-Nearest Neighbor (KNN), Naive Bayes, and Decision Tree C4.5 approaches for classifying breast cancer. The problem of this research is which algorithm has a high level of accuracy that can be used with breast cancer datasets and can provide information about patterns or models for early detection of breast cancer. The results of the research conducted using CRISP-DM show that K-Nearest Neighbor (KNN) has the highest accuracy value with 97.14% and its AUC value is 0.976. The AUC value also showed excellent classification, with an AUC value between 0.90 and 1.00.

The use of liquid organic fertilizer (POC) is an innovative solution to increase crop productivity in drylands that face challenges in soil fertility and water availability. This study aims to evaluate the effect of various types of POC, including moringa, kirinyu, rabbit urine, fermented fruit waste, and local microorganism-based (MOL) POC, on plant growth and yield. The method used was literature review and analysis of literature from various journals, theses, theses, and dissertations, which were analyzed descriptively and quantitatively.  The results showed that all types of POC increased plant productivity with an average increase of 20-40% compared to the control, with rabbit urine recording the highest increase of 40%. The effectiveness of POC comes from the content of nutrients, bioactive compounds, and microorganisms that improve soil structure, increase water retention, and spur nutrient absorption. The discussion underscored the importance of utilizing local resources to reduce environmental pollution and improve agricultural sustainability.  In conclusion, POC proved to be an effective alternative to increase crop yields in drylands while supporting sustainable agriculture. Recommendations for further research include further exploration of local organic materials and application of POC on a field scale.

Dairy cattle are ruminant livestock that produce milk whose productivity is very dependent on maintenance management. This community service activity aims to increase the knowledge and skills of dairy farmers in Raraa Village, East Kolaka Regency. This activity was carried out in several stages, including: 1) Socialization of dairy cattle development; 2. Demonstration on the maintenance and feeding of dairy cows; 3. Monitoring and Evaluation. During the socialization activities, the breeders were very enthusiastic in listening and active in the discussion because the breeders in Raraa Village were just getting to know and starting to raise dairy cows. Farmers are also very focused on paying attention to explanations and technical guidance on the maintenance, management and feeding of dairy cows during direct visits to the breeder's pen. At the end of the activity, an evaluation was carried out to determine the level of understanding of dairy farmers. Monitoring and assistance to farmers is also carried out to help farmers who experience difficulties in the process of caring for and feeding dairy cows. This activity can increase the knowledge and skills of dairy farmers so that farmers can maintain and develop dairy cattle in accordance with the government's goal of distributing dairy cattle seeds in the Southeast Sulawesi region

Science plays a crucial role in human life as it helps us understand the universe through observation, experimentation, and analysis. In education, science not only teaches scientific concepts but also fosters scientific attitudes and critical thinking skills in students. To make science education more meaningful, interactive, and relevant, a deep understanding of the Nature of Science (NOS) is essential. This study aims to explore the understanding, benefits, and application of scientific concepts in the teaching and learning process to shape students' scientific attitudes. Using a literature review method, this research gathers information from various relevant academic sources. The findings indicate that science encompasses elements of philosophy, sociology, history, and psychology that support scientific understanding. By understanding NOS, students will view science as a process of knowledge discovery, rather than merely a collection of facts. The application of science in education also impacts students' ability to apply knowledge in practical contexts, enhance their analytical skills, and adapt to societal changes.

Penelitian ini dilakukan untuk menganalisis perbandingan perolehan jumlah pendapatan dan beban PT Asuransi Allianz Life Indonesia Tahun 2023. Metode penelitian yang digunakan yaitu deskriptif kuantitatif dengan menggambarkan kondisi perubahan yang terjadi pada laporan keuangan konsolidasian. Keterbaruan temuan pada penelitian ini yaitu kenaikan pendapatan disebabkan kenaikan tarif premi karena adanya kenaikan inflasi biaya medis yang mengakibatkan perusahaan melakukan repricing, sedangkan faktor internal yaitu peningkatan hasil investasi dikarenakan perusahaan melakukan peluncuran Produk Asuransi Yang Dikaitkan dengan Investasi (PAYDI). Kontribusi terbesar penyebab kenaikan beban yaitu adanya peningkatan biaya operasional. Sedangkan faktor eksternal disebabkan oleh klaim dan manfaat dibayar yang meningkat dikarenakan biaya medis meningkat.

Manual jimpitan financial management in RT 03 RW 01 Ngaresrejo Village, Sidoarjo Regency faces problems of inaccurate recording and lack of transparency to residents. The purpose of this community service is to improve the efficiency and transparency of jimpitan financial management through training and implementation of a digital accounting recording system. The method used is the Asset-Based Community Development (ABCD) method and includes several stages such as identifying needs, preparing training materials, implementing workshops, and direct assistance in using the system. The results of this program show that RT administrators can use the digital system well, increasing the accuracy and transparency of financial reports. The main contribution of this program is the application of digital technology in community financial management, which has the potential to be a model for other RTs. This innovation not only simplifies the administrative process but also strengthens community trust in fund management.