Aplikasi X, sebelumnya dikenal sebagai Twitter adalah media sosial yang memungkinkan pengguna mengirim, membalas, dan membaca pesan. Berdasarkan ulasan di Google Play Store, banyak pengguna mengeluhkan masalah, terutama terkait penangguhan akun setelah perubahan kepemilikan. Namun, sebagian pengguna masih merasa puas dan terbantu dengan X. Oleh karena itu, analisis sentimen dilakukan untuk mengetahui kecenderungan opini pengguna. Penelitian ini menggunakan metode naïve bayes dan k-Nearest Neighbor pada 8.723 ulasan yang kemudian diklasifikasi sebagai sentimen positif, netral, atau negatif menggunakan K-fold cross validation. Naïve Bayes mencapai akurasi tertinggi sebesar 88,87% pada 10-fold, sementara KNN dengan k optimal di 12-NN mencapai 90,32% pada 2-fold. Dalam perbandingan hasil klasifikasi dengan label pakar kedua, metode Naïve Bayes lebih sesuai dengan akurasi 92,56% dibandingkan KNN yang mencapai 91,73%.

K-Means merupakan algoritma yang sering digunakan untuk melakukan pengelompokkan atau sering juga disebut clustering. Dengan menentukan pusat centroid awal secara random pada algoritma K-Means akan ditingkatkan performanya menggunakan Algoritma Genetika (GA).
Menggunakan data set publik di Kaglle, berupa data set tiktok dimana jumlah view dan like dengan record data sebanyak 19.084 setelah dilakukan pembersih data. Yang akan diuji dengan melakukan performa clustering K-Means dengan Algoritma Genetika. Dan untuk validitas nya nanti menggunakan Davis Boulden Index, dimana hasil validitas DBI ini nanti akan meningkatkan performance K-Means dengan menambahkan
Algoritma Genetika.
Dengan pengujian K-Means dengan jumlah k=3, k=4 dan k=5 menghasilkan masing-masing validitas DBI 0,64 ; 0,79 dan 0,72. Sedangkan untuk algoritma K-Means dengan peningkatan performa
menggunakan GA didapatkan validitas dengan masing-masing DBI sebagai berikut 0,45 ; 0,40 dan 0,60. Dengan hasil penelitian menghasilkan bahwa peningkatan performa K-Means dengan menggunakan GA memberikan hasil validitas lebih kecil dari pada hanya menggunakan perhitungan KMeans saja.

In this study, COBIT 2019 and ITIL V4 are compared in the context of managing IT risk. Through systematic literature review (SLR), the theoretical and practical foundations of both frameworks are evaluated. COBIT 2019 offers a structured approach, while ITIL emphasizes adaptive operational practices. Analysis of strengths and weaknesses helps organizations choose an approach that aligns with their strategic objectives. With this understanding, organizations can enhance their ability to manage IT risks and achieve business goals effectively.

One of the most prevalent malignancies in women and a major global cause of death is breast cancer. To determine whether a cancer is benign or malignant, early detection is essential. The usefulness of the Support Vector Machine (SVM) and Adaptive Boosting (Adaboost) algorithms for breast cancer classification using mammography data is compared in this study. 569 records make up the dataset, which was sourced from the Kaggle Repository and is split into 75% training data and 25% testing data. Preprocessing steps include feature and target variable creation, categorical-to-numerical conversion, data splitting, and normalization. SVM achieved an accuracy of 97%, with a precision of 98%, recall of 94%, and F1 score of 96%. Adaboost, on the other hand, achieved an accuracy of 96%, precision of 98%, recall of 92%, and F1 score of 95%. The results reveal that both algorithms are highly effective for breast cancer detection, with SVM marginally exceeding Adaboost in total performance. These findings emphasize the promise of machine learning techniques in facilitating early cancer diagnosis, hence boosting survival rates. It is advised that future research employ a wider range of datasets and investigate different classification techniques in order to improve accuracy and dependability even more.

Gigi merupakan struktur keras yang terdapat di mulut manusia, berfungsi untuk mengunyah makanan, membantu dalam pengucapan, dan memberikan bentuk pada wajah. Gigi juga sering mengalami gangguan penyakit. Penyakit yang umumnya terjadi pada gigi adalah karies gigi. Penyebab dari karies gigi disebabkan karena kurangnya kebiasaan menyikat gigi secara teratur dan kurangnya kesadaran masyarakat akan pentingnya kesehatan gigi. Banyak orang yang mengalami karies gigi cenderung tidak langsung pergi ke dokter gigi, sehingga masalah pada email gigi bisa semakin parah, membentuk lubang atau karies yang lebih besar. Jumlah tenaga dokter gigi di Indonesia sangat terbatas, rasio antara dokter dengan jumlah pasien adalah 1:12000. Perkembangan teknologi saat ini ada suatu sistem yang dapat berkerja layaknya seorang pakar. Sistem pakar ini menggunakan perunutan maju (forward chaining) dan metode perhitungan nya menggunakan Dempster-Shafer. Dempster-Shafer merupakan metode ketidakpastian untuk menghasilkan suatu diagnosa yang berdasarkan nilai densitas dari setiap gejala. Penelitian dilakukan dengan membandingkan data hasil diagnosa pakar, pakar menetapkan batas nilai threshold sebesar 70%. Dari 50 data uji didapati 47 data yang sesuai dan diatas threshold sehingga didapati akurasi sistem sebesar 94%. Sementara itu dari 50 data uji ada 3 data uji yang berada di bawah nilai threshold

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.

Micro, Small, and Medium Enterprises (UMKM) play a crucial role in the national economy. However, significant challenges such as limited resources, market access, and inadequate managerial capabilities remain obstacles to enhancing competitiveness. Developing managerial capacity through technological innovation has become a strategic solution for UMKM to survive and grow in the digital era. This study aims to analyze the importance of developing managerial capacity in improving UMKM competitiveness through technology adoption. The research method used is a literature review and analysis of secondary data from various relevant sources. The findings indicate that technological innovation in managerial aspects, such as the use of digital systems for marketing, finance, and operations, positively impacts efficiency and competitiveness. Therefore, appropriate strategies are needed to enhance UMKM managerial capacity in adopting technology to compete globally.

This study aims to determine the strength of the positive and significant relationship between the teaching attitude of Christian Religious Education (PAK) teachers and the learning motivation of class X students at SMA Negeri 1 Sipoholon in the 2024/2025 academic year. This research uses a quantitative method with descriptive inferential statistical analysis. The population of the study consists of all class X students of SMA Negeri 1 Sipoholon in the 2024/2025 academic year, totaling 281 students. The sampling technique used is random sampling, selecting 25% of the population, which is 65 students. The research instrument used is a closed-ended questionnaire. The data analysis results show that: a) The calculated r value = 0.560 > the r table value = 0.244, indicating a positive relationship between variable X (the teaching attitude of PAK teachers) and variable Y (the students' learning motivation). b) Hypothesis testing showed that t count = 5.365 > t table = 1.980, so H0 is rejected and Ha is accepted. Based on these results, it can be concluded that there is a significant positive relationship between the teaching attitude of PAK teachers and the learning motivation of class X students at SMA Negeri 1 Sipoholon in the 2024/2025 academic year. These findings are expected to contribute to the improvement of the quality of learning in the school.

Masalah yang sering dihadapi guru dalam pembelajaran bahasa dan sastra Indonesia adalah ketidakcocokan bahan ajar, baik dari segi kuantitas maupun kualitas. Banyak guru cenderung memberikan materi yang terlalu luas atau malah terlalu sedikit, terlalu mendalam atau justru dangkal, serta urutan penyajian yang tidak tepat. Kondisi ini sering kali mengakibatkan materi ajar tidak sejalan dengan kompetensi yang ingin dicapai siswa. Sebagai solusi, peneliti mempersembahkan alternatif bahan ajar yang diharapkan dapat mempermudah siswa dalam memahami materi pembelajaran. Tujuan dari penelitian ini adalah untuk mendeskripsikan hasil analisis majas yang terdapat dalam novel "Gadis Jatuh di Dalam Laut" karya Axie Oh, serta menggambarkan pemanfaatan hasil analisis tersebut dalam pembelajaran sastra di tingkat SMA kelas XII. Metode yang dipilih dalam penelitian ini adalah deskriptif kualitatif. Dalam penelitian ini, peneliti tidak menggunakan statistik, melainkan fokus pada deskripsi kualitatif. Data dikumpulkan dari beragam referensi seperti buku teks, kamus, ensiklopedia, jurnal ilmiah, dan hasil penelitian lainnya. Apabila peneliti tidak memiliki sumber bacaan sendiri, perpustakaan, baik formal maupun pribadi, dapat dimanfaatkan. Dalam penelitian kualitatif, data dikumpulkan melalui berbagai teknik dan sumber yang beragam, dilakukan secara berkelanjutan hingga mencapai titik jenuh. Proses pengamatan ini menghasilkan data yang bervariasi. Umumnya, data yang diperoleh bersifat kualitatif, dan teknik analisis yang digunakan tidak mengikuti pola yang kaku. Berdasarkan pengumpulan data yang telah dilakukan, peneliti menemukan 65 contoh penggunaan majas dalam novel "Gadis Jatuh di Dalam Laut. " Jenis-jenis majas tersebut meliputi 19 contoh majas perbandingan, 17 contoh majas pertentangan, 18 contoh majas penegasan, dan 11 contoh majas sindiran. Selain itu, penelitian ini juga akan mengkaji beberapa aspek bahan ajar, seperti kelayakan isi, penyajian, bahasa, dan kegrafikan.

The purpose of this research is to develop E-LKPD based on project-based learning assisted by live worksheet science learning to improve understanding of concepts in elementary schools and the effectiveness of E-LKPD based on project-based learning assisted by live worksheet, as well as to find out the response of teachers and students in grade V of SDN Dewi Sartika 2 Aut The implementation of E-LKPD single substance material plays a role in improving thinking skills through classroom learning. The type of research is the ADDIE model approach, (Analysis, Design, Development, Implementation, and Evaluation). The product validation test was conducted by computer science media experts, Indonesian language experts, and science material experts. The validation results by media experts were 89.0% of the criteria were very feasible, linguists 96.0% of the requirements were very doable, and science materials experts 90.3% were very feasible. The results of the student response questionnaire were 91.5%, the response of class teachers was 90% in the appropriate category, and the average effectiveness score of using E-LKPD was 89.6% of the criteria as expected. The results show that project-based learning E-LKPD using live worksheets is feasible to use in the learning process and is effective in improving the thinking skills of elementary school students.