The film Tuhan Ijinkan Aku Berdosa presents an in-depth description of moral and spiritual conflict through the inner turmoil experienced by the main character. This abstract explains that the factors underlying the conflict are complex and interrelated, including psychological conditions, social backgrounds, and religious aspects that underlie the lives of the characters. Conflict does not only arise from external events, but also as a result of the clash between values that are normatively believed by a Muslim and the reality of life that takes actions that deviate from Islamic teachings. The main character grew up in a stressful environment, marked by poverty and social alienation, so that he felt he had no other choice but to take a path that was considered morally wrong. A deep sense of guilt also emerged as a consequence of behavior that was contrary to religious values, which then triggered a spiritual conflict that further complicated his inner state. In addition, a weak understanding of religious teachings and a lack of spiritual guidance also played an important role in exacerbating the conflict. When individuals grow up without strong religious direction or feel alienated from the religious community, they tend to seek meaning and salvation in deviant ways, thus becoming further from the path that is approved by God.

This research discusses the use of TikTok as a medium for da'wah among the younger generation, which is an integral part of the development of da'wah communication in the digital era. With its engaging short video format, TikTok offers preachers the opportunity to reach a wider audience. However, there are challenges related to communication ethics and the substance of da'wah that need to be overcome to maintain the relevance and accuracy of the message. The aim of this research is to analyze how the creativity of da'wah content can be integrated with the ethical principles of Islamic communication, as well as identifying the impacts and challenges faced. Findings show that 70 percent of respondents use TikTok for more than an hour every day, and 65 percent believe this platform is effective as a medium for preaching. However, challenges such as the spread of invalid information and the commercialization of da'wah still exist. This research recommends the need for interactive communication strategies and collaboration with experts to ensure the accuracy and integrity of da'wah content. With a wise approach, the use of TikTok can be an effective tool for spreading peaceful and inclusive Islamic values.

Interpersonal da'wah communication is a process of conveying Islamic messages that takes place directly between family members, both verbally through advice and conversation, and nonverbally through exemplary attitudes and behavior. This communication is two-way, contextual, and based on affection and empathy. This study is the effectiveness of interpersonal da'wah communication in shaping the Islamic character of family members. The results of the analysis show that this communication is very effective because it is supported by emotional closeness between family members, continuity in daily interactions, and the strong role of parents or other family members as role models in implementing Islamic values. In addition, habituation through joint worship practices, social ethics, and the use of religious language also strengthen the internalization of Islamic values. Thus, the family is not only a place of shelter, but also functions as the first madrasah which is very strategic in shaping Muslim individuals who are faithful, pious, and have noble morals from an early age.

Campus organizations are a strategic forum for developing student leadership, not only from a technical aspect, but also in terms of effective interpersonal communication. Leadership in a college environment has its own complexity because it involves individuals with diverse academic backgrounds, maturity levels, and goals. This study aims to understand the role of interpersonal communication in supporting leadership effectiveness in student organizations, especially in the Scout organization at UIN SMH Banten. Interpersonal communication that is two-way, inclusive, and empathetic can increase group cohesiveness, member participation, and the effectiveness of work program implementation. Strategies such as active listening, the use of adaptive communication media, and a relational approach to leadership have been shown to contribute to creating a democratic and productive organizational atmosphere. In addition, challenges such as miscommunication can be overcome through a systematic information documentation system

This study aims to test the effectiveness of an e-module based on the Ibis Paint X application in improving learning outcomes of participants in the Technical Drawing material of the Fashion Technology vocational program. The research method uses a quantitative approach with a one-group pretest-posttest design. The instruments used include pre-tests and post-tests, as well as user response questionnaires. Data were analyzed using normality, homogeneity, and N-Gain tests. The results show that the use of the e-module significantly improves the understanding of training participants, with high effectiveness based on the N-Gain test results. Additionally, user responses indicate that the e-module is practical and suitable for use in training. These findings suggest that the integration of the Ibis Paint X application in the e-module supports adaptive and effective digital learning in vocational training environments.
 

Penyakit paru-paru, seperti pneumonia dan kanker paru-paru, menjadi masalah kesehatan global dengan tingkat kematian tinggi, terutama dipengaruhi oleh polusi udara, infeksi, dan kebiasaan merokok. Pencegahan dan deteksi dini sangat penting dalam mengurangi dampaknya. Algoritma yang digunakan dalam penelitian ini meliputi Random Forest, XGBoost, dan Logistic Regression. Tujuannya yaitu untuk membandingkan performa tiga algoritma machine learning dalam mengklasifikasikan penyakit paru-paru menggunakan metrik evaluasi seperti, akurasi, presisi, recall, dan F1-score.  Setelah hyperparameter tuning, XGBoost menunjukkan hasil terbaik dengan akurasi 94,44%, presisi 94,98%, recall 94,44%, dan F1-score 94,41%, menunjukkan keseimbangan optimal antara presisi dan recall. Random Forest juga memberikan hasil yang sebanding dengan XGBoost dengan akurasi dan presisi yang tinggi. Sementara itu, Logistic Regression menunjukkan keterbatasan dalam menangani data yang kompleks, dengan performa yang lebih rendah pada seluruh metrik evaluasi. Penelitian ini menunjukkan bahwa algoritma berbasis pohon keputusan seperti XGBoost dan Random Forest lebih unggul untuk klasifikasi penyakit paru-paru, menjadikannya metode yang lebih andal untuk mendukung deteksi dini penyakit ini.
 
Kata kunci: Hyperparameter Tuning, Logistic Regression, Penyakit Paru-paru, Random Forest, XGBoost.

Ikan hiu adalah kelompok hewan yang menarik dan menakutkan di dunia laut. Mereka termasuk dalam kelas Chondrichthyes bersama dengan pari dan hiu bersirip. Mereka dapat ditemukan di berbagai perairan dan memiliki peran penting sebagai indikator kesehatan ekosistem laut. Namun, populasi ikan hiu terancam karena penangkapan ikan ilegal dan kurangnya konservasi. Dalam proses mengidentifikasi dan mengklasifikasikan spesies hiu, peneliti membuat program dengan menggunakan teknik pengenalan visi komputer, seperti Convolutional Neural Network (CNN), dapat sangat membantu. Salah satu arsitektur CNN yang efektif adalah ResNet50, yang terbukti berhasil dalam klasifikasi gambar. Dengan menggunakan 4720 data citra ikan hiu dari 14 kelas model ResNet50 berhasil mencapai akurasi 86% dalam klasifikasi spesies ikan hiu. Model ini dapat digunakan untuk mengidentifikasi spesies hiu dengan baik, kecuali pada beberapa kelas tertentu yang perlu diperbaiki.

Online games are an entertainment medium that cannot be separated from some groups of people, especially during the co-19 pandemic. The existence of a policy of violence reduces the interaction of people in the world, including in Indonesia, resulting in an increase in online activity, especially playing games. Game is an interesting online gaming platform, where players can still interact socially boldly. Genshin Impact is a mobile game that provides other platforms such as PC, PlayStation and Nintendo Switch. Although some people like this game, others are not satisfied with the game play. Sentiment analysis is also very useful when game developers want to know what users think about the game experience. This research aims to build a model of the classification of reviews on the Genshin Impact game available on the Google Play platform, so that the resulting model can provide recommendations for developers for improvement. The results obtained are reviews on the Google Play Store tend to be positive with an accuracy score of 87%, precision of 67%, memory of 98%, and f1 score of 67%. Evaluation is done by comparing the model that has been obtained in this study with the previous model with the same algorithm.