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All Journal Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce Jurnal Kajian Penelitian Pendidikan dan Kebudayaan Mandub: Jurnal Politik, Sosial, Hukum dan Humaniora Media Journal of General Computer Science (MJGCS)
Siti Lutfiah
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Analisis Interpretasi Pada Pidato Transformative Power Of Education Aisyah Kusuma Wardan; Asti Nur Cahyani; Siti Lutfiah; Wanda Agustina Sasmita Ningrum
Jurnal Kajian Penelitian Pendidikan dan Kebudayaan Vol. 2 No. 4 (2024): Oktober : Jurnal Kajian Penelitian Pendidikan dan Kebudayaan
Publisher : CV. Aksara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jkppk.v2i4.584

Abstract

Dalam konteks pidato “The Transformative power of education”, penerjemahan menjadi sangat penting karena pidato ini bertujuan untuk menginspirasi dan memberdayakan audiens dengan gagasan transformasi melalui pendidikan. Penelitian ini bertujuan untuk menganalisis teknik dan strategi penerjemahan yang digunakan dalam teks linguistik. Sumber data yang digunakan dalam penelitian ini adalah pidato dari Prof. Neil Mercer yang diterjemahkan oleh Siti Ismiati. Dalam artikel ini, peneliti menggunakan metode deskriptif kualitatif, yang bertujuan untuk memahami dan menjelaskan teknik interpreting berdasarkan teori-teori terkemuka dalam bidang linguistik dan penerjemahan. Penelitian ini bertujuan untuk mengkaji teknik penerjemahan yang digunakan dalam pidato “The Transformative power of education”. Dengan mengacu pada teori-teori terkemuka dalam penerjemahan interpreting, penelitian ini menganalisis penerapan teknik seperti teknik cutting dan omission. Setiap teknik dievaluasi berdasarkan efektivitasnya dalam mempertahankan makna, struktur, dan relevansi budaya.
MANAJEMEN KONFLIK DALAM ORGANISASI SISWA INTRA SEKOLAH DI SMA PLUS AL-HASAN Adela Yanuar Ismi; Haris Nurdiansah; Ulfatul Hasanah; Siti Lutfiah
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 1 No. 4 (2022): Desember : Digital Bisnis : Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (69.857 KB) | DOI: 10.30640/digital.v1i4.376

Abstract

In the dynamics of an organization, the occurrence of a conflict is indeed something that is very prone to occur. Given how the competition is very tight, it creates a conflict that we cannot avoid. Then conflict management is used in terms of managing and overcoming and tackling well the existence of a conflict within the organization. The focus of this research is how is conflict management in an intra-school student organization that occurred at SMA PLUS AL – HASAN? with the aim of knowing how to manage conflict in an organization, the importance of conflict management in an organization and conflict resolution strategies in an organization. This research uses a descriptive qualitative research method which in collecting data uses a technique of observation, interviews and documentation. This research has produced several things related to how conflict management in organizations, the importance of conflict management in organizations and how to strategy a conflict resolution in an organization.
Mengelola Pikiran Negatif dengan Teknik Self-Talk, Teknik Reframing dan Thought Stopping Siti Lutfiah; Qoqom Komariah; Ilham Adzikri; Imalatul Khairat
Mandub : Jurnal Politik, Sosial, Hukum dan Humaniora Vol. 3 No. 2 (2025): Juni: Mandub: Jurnal Politik, Sosial, Hukum dan Humaniora
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/mandub.v3i2.2577

Abstract

Negative thinking represents a type of cognitive distortion that can negatively impact an individual's mental health and impede their ability to adapt effectively in daily life. This study aims to explore the effectiveness of three cognitive strategies self-talk, reframing, and thought stopping in managing such negative thoughts. Utilizing a qualitative research approach, this study conducted a literature review alongside participatory observation. Data were gathered by analyzing various academic articles, books, and journals focusing on these three techniques in the context of controlling negative thought patterns. Findings reveal that each technique offers unique benefits: self-talk helps in cultivating a more positive internal dialogue, reframing enables individuals to interpret problems from a more constructive angle, and thought stopping effectively halts the recurrence of negative thoughts through conscious intervention. These results indicate that these cognitive techniques can serve as practical psychological interventions for managing negative thinking.
Detection of Chili Plant Pests and Diseases using Yolov5 khairunisah, sherli; Siti Lutfiah; Fitria Musdalifah
Media Journal of General Computer Science Vol. 2 No. 2 (2025): MJGCS
Publisher : MASE - Media Applied and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62205/mjgcs.v2i2.40

Abstract

The rapid advancement of technology has led to the development of various innovative techniques that assist humans in numerous domains, including object detection, which serves to identify individual elements within an image. Object detection is widely utilized due to its ability to accurately recognize each component in an image, making it valuable in addressing real-world challenges. One such challenge is the decline in agricultural income resulting from diseases affecting chili plants. The cultivation of chili plants faces several obstacles, including weather-related factors that contribute to the spread of pests and diseases, ultimately reducing chili production. By implementing object detection technology, farmers can easily identify plant diseases through image analysis, enabling timely and effective treatment. This study employs the YOLOv5 algorithm to evaluate the model's performance in detecting diseases in chili plants. The images used were captured using a smartphone camera with a resolution of 3472×3472 pixels. A total of 430 images were utilized, divided into three subsets: training data, validation data, and test data. To obtain the optimal model, the study conducted three experiments using different data distribution ratios: Experiment 1 with a 70:20:10 split, Experiment 2 with a 75:15:10 split, and Experiment 3 with an 80:10:10 split. Among these, the third experiment yielded the best performance, achieving an average test accuracy of 0.947. The corresponding precision, recall, and mean Average Precision (mAP) scores were 0.946, 0.936, and 0.959, respectively
Co-Authors Adela Yanuar Ismi Aisyah Kusuma Wardan Asti Nur Cahyani Fitria Musdalifah Haris Nurdiansah Ilham Adzikri Imalatul Khairat khairunisah, sherli Qoqom Komariah Ulfatul Hasanah Wanda Agustina Sasmita Ningrum