e-Journal of Hamzanwadi University
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Hubungan Self Awareness Dengan Pemilihan Strategi Coping Stress Pada Siswa Baitul Aziz
No full textPenelitian ini bertujuan untuk mengkaji keterkaitan antara kesadaran diri (self awareness) dengan pemilihan strategi coping stress pada siswa kelas XI SMAS Baitul Aziz tahun ajaran 2024/2025. Pendekatan yang digunakan adalah kuantitatif dengan metode korelasional. Sampel penelitian terdiri dari 42 siswa yang dipilih menggunakan teknik simple random sampling. Instrumen pengumpulan data berupa angket self awareness dan coping stress dengan skala Likert, yang sebelumnya telah melalui uji validitas dan reliabilitas, masing-masing memiliki nilai Cronbach's Alpha sebesar 0,659 dan 0,829. Analisis data dilakukan dengan menggunakan uji korelasi Pearson Product Moment. Hasil menunjukkan adanya korelasi positif yang signifikan antara self awareness dan pemilihan strategi coping stress dengan nilai r = 0,521 dan tingkat signifikansi p = 0,000 (p < 0,05). Nilai koefisien determinasi sebesar 27,2% menunjukkan bahwa self awareness memiliki kontribusi dalam menentukan strategi coping stress yang dipilih siswa, sedangkan sisanya 72,8% dipengaruhi oleh faktor lain seperti kepribadian, dukungan sosial, pengalaman pribadi, dan latar belakang budaya. Hasil penelitian ini menegaskan pentingnya peningkatan kesadaran diri dalam membantu siswa memilih strategi yang tepat dalam menghadapi tekanan. Penelitian ini diharapkan dapat menjadi dasar pengembangan program layanan bimbingan dan konseling di sekolah
Hubungan Self Efficacy dan Dukungan Sosial Teman Sebaya terhadap Motivasi Belajar Siswa
Get PDFPenelitian ini bertujuan untuk menguji hubungan antara efikasi diri dan dukungan sosial teman sebaya terhadap motivasi belajar siswa di SMKN 1 Alian. Dengan menggunakan pendekatan korelasional kuantitatif, data dikumpulkan dari 264 siswa melalui kuesioner skala likert dan dianalisis menggunakan regresi linier berganda. Hasil penelitian menunjukkan bahwa kedua variabel tersebut memiliki pengaruh yang signifikan terhadap motivasi belajar, dengan efikasi diri sebagai faktor yang dominan. Sebanyak 53,9% variasi motivasi belajar dapat dijelaskan oleh efikasi diri dan dukungan sosial teman sebaya. Penelitian ini menyoroti pentingnya penguatan efikasi diri dan dukungan sosial untuk meningkatkan motivasi belajar melalui layanan bimbingan dan konseling di sekolah kejuruan
Edukasi deteksi dini kanker payudara dan serviks berbasis komunitas pada Muslimat NWDI
Get PDFCancer education is an essential effort to improve public awareness and understanding, particularly among women, regarding the early detection of breast and cervical cancer. This community service activity aimed to provide education on cancer awareness, the importance of early detection, and the adoption of healthy lifestyles among Muslimat NWDI in East Lombok, West Nusa Tenggara. The activity was conducted through health education sessions combined with interactive discussions and an evaluation of participants’ understanding using a simple assessment instrument. The educational materials covered an introduction to breast and cervical cancer, breast self-examination (BSE), the importance of Pap smear screening, and lifestyle-related factors associated with cancer prevention. The results indicated that most participants demonstrated good to very good levels of understanding of the presented materials. Higher levels of understanding were observed among pre-elderly participants and those with a higher educational background. However, psychosocial barriers such as feelings of shame, fear, and cultural stigma related to reproductive health examinations were still identified. This socialization activity contributed positively to increasing participants’ awareness of the importance of early cancer detection. Nevertheless, continuous assistance and improved access to health services are needed to ensure the practical implementation of early detection behaviors within the communitySosialisasi penyakit kanker merupakan upaya penting dalam meningkatkan kesadaran dan pemahaman masyarakat, khususnya perempuan, terhadap deteksi dini kanker payudara dan kanker serviks. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan edukasi mengenai pengenalan kanker, pentingnya deteksi dini, serta penerapan gaya hidup sehat kepada Muslimat NWDI di Lombok Timur, Nusa Tenggara Barat. Metode pelaksanaan kegiatan dilakukan melalui penyuluhan kesehatan yang disertai diskusi interaktif dan evaluasi pemahaman peserta menggunakan instrumen sederhana. Materi yang disampaikan meliputi pengenalan kanker payudara dan serviks, praktik pemeriksaan payudara sendiri (SADARI), pentingnya pemeriksaan Pap smear, serta faktor gaya hidup yang berperan dalam pencegahan kanker. Hasil kegiatan menunjukkan bahwa sebagian besar peserta memiliki pemahaman yang baik hingga sangat baik terhadap materi yang disampaikan. Pemahaman peserta cenderung lebih baik pada kelompok usia pra-lansia dan peserta dengan latar belakang pendidikan perguruan tinggi. Meskipun demikian, masih ditemukan hambatan psikososial berupa rasa malu, takut, serta stigma budaya yang memengaruhi keberanian peserta dalam melakukan pemeriksaan kesehatan reproduksi. Kegiatan sosialisasi ini memberikan kontribusi positif dalam meningkatkan kesadaran peserta terhadap pentingnya deteksi dini kanker, namun diperlukan pendampingan berkelanjutan serta peningkatan akses layanan kesehatan untuk mendorong penerapan deteksi dini secara nyata di masyaraka
Analisis Faktor Keterlambatan Pemasangan Meter Baru Menggunakan Metode Decision Tree Pada PT PLN Unit Layanan Pelanggan Daerah Pringgabaya Lombok Timur
Get PDFPT. PLN (Persero) ULP Pringgabaya is one of the units established by PT PLN to be able to provide direct services to the community in areas with smaller coverage. However, the use of electricity by the community has increased the demand for the installation of new meters. This study aims to analyze the causes of delays in the installation of new meters. In order to classify the highest causes of installation delays, the Decision Tree method is used. The number of data sets used is 700 data with attributes, such as the distance of the location to the PLN network (Meter), electric voltage (Volt), customer contact, SLO (Certificate of Operational Worthiness), Installation and Installation Status. From the calculation results, the acquisition includes Distance <= 37 M from the PLN network, voltage >= 220 Volts, inactive contacts, old SLOs issued, and uninstalled installations. Testing was carried out 10 times using cross validation with 100% accuracy results with an AUC value of 1.00, which means that the use of the decision tree algorithm can be utilized in determining the classification of the causes of delays in the installation of new meters at PT PLN ULP (Customer Service Unit) Pringgabaya. So it can be concluded that the cause of the delay in the installation of new meters at PT PLN ULP (Customer Service Unit) Pringgabaya is not caused by service criteria but is influenced by distance, voltage, and new customer contacts
Media Pembelajaran Video Animasi Legenda Putri Mandalika Berbasis Artificial Intelegence
Get PDFThe rapid development of information technology has brought significant changes in various aspects of life, including in the field of education. The need for effective and efficient learning media is increasingly urgent along with demands to improve the quality of education that is relevant to current developments. The Legend of Putri Mandalika is one of the Indonesian cultural heritages rich in moral values and local wisdom. However, delivering traditional legend stories to the younger generation today still faces challenges, especially in terms of engaging learning methods that are relevant to current digital technology developments. This study aims to produce a 3D animation-based learning medium that presents the story of the Legend of Putri Mandalika by utilizing Blender software and artificial intelligence (AI) technology to support the production process, including character creation, storyboard development, and voice-over. The method used includes pre-production, production, and post-production stages, each designed to maximize the visual and narrative potential of this legend. The final result of this study is a short animated video that can be used as an interactive learning medium for elementary to junior high school students. Thus, the integration of 3D animation with AI technology is not only an innovative solution in developing learning media but also plays an important role in preserving local culture so that it remains alive and relevant in the digital era. This learning medium is expected to increase students’ learning interest, strengthen their understanding of cultural values, and encourage the positive use of technology in educational settings
Peningkatan Pemahaman Dasar Komputer dan Microsoft Word Melalui Program Kelas Teknologi di SDI Al-Barokah
Get PDFThe Technology Class program is part of the KKN activities aimed at enhancing the understanding of elementary students at SDI Al-Barokah Kalijaga Tengah regarding basic computer technology. This study employed a quasi-experimental design with a descriptive quantitative approach to measure the program's effectiveness. The program was conducted every Saturday for two month and involved 90 participants from grades 4, 5, and 6. The topics covered included an introduction to computer and laptop devices, an explanation of their components and functions, and the use of Microsoft Word applications. The teaching method combined theoretical presentations and hands-on practice using computers. Evaluation results indicated an increase in the students' average scores from The average score increased from 60 in the pre-test to 85 in the post-test,reflecting a 25-point improvement. A total of 76 students (84.4%) successfully completed the practical tasks of typing. These findings demonstrate that the Technology Class program effectively equips students with essential technological skills to support their learning in the digital eraAbstrak : Program Kelas Teknologi merupakan bagian dari kegiatan KKN yang bertujuan untuk meningkatkan pemahaman siswa SDI Al-Barokah Kalijaga Tengah tentang dasar-dasar teknologi komputer. Penelitian ini menggunakan desain quasi-experimental dengan pendekatan deskriptif kuantitatif untuk mengukur efektivitas program. Program ini dilaksanakan setiap Sabtu selama 2 bulan dan melibatkan siswa kelas 4, 5, dan 6 dengan total 90 peserta. Materi yang diajarkan meliputi pengenalan perangkat komputer dan laptop, penjelasan bagian-bagian serta fungsinya, dan penggunaan aplikasi Microsoft Word. Metode pembelajaran yang digunakan adalah pendekatan kombinasi, yaitu presentasi teori dan praktik langsung menggunakan komputer. Dari hasil evaluasi, nilai rata-rata siswa meningkat dari 60 tes awal menjadi 85 tes akhir, menunjukkan peningkatan sebesar 25 poin. Sebanyak 76 siswa (84.4%) berhasil menyelesaikan tugas praktik mengetik dan menyimpan dokumen, Hasil ini menunjukkan bahwa program Kelas Teknologi membantu siswa menguasai keterampilan dasar teknologi yang relevan untuk mendukung pembelajaran mereka di era digital.
Kata kunci: Digital, Komputer, Literasi, Teknologi
Pengaruh Model Pembelajaran Problem Solving Berbantuan Papan Pecahan Terhadap Kemampuan Pemecahan Masalah Matematika siswa Kelas IV MI Al Fatah Asinan
Get PDFPenelitian ini bertujuan untuk mengetahui pengaruh penggunaan model Problem Solving berbantuan Papan Pecahan terhadap kemampuan pemecahan masalah matematika siswa. Jenis penelitian ini adalah eksperimen semu (quasi eksperimen research). Teknik pengambilan sampel menggunakan teknik purposive sampling. Populasi dalam penelitian ini seluruh siswa MI Al Fatah Asinan, kemudian sampel penelitiannya adalah kelas IV MI Al Fatah Asinan. Teknik pengumpulan data berupa teknik tes (pretest, posttest) dan teknik non tes (observasi, dokumentasi, angket). Teknik analisis data dengan uji normalitas, uji homogenitas, uji regresi linear sederhana dan uji independent sample t- test
Implementasi Metode RAD pada Sistem Informasi Manajemen Penelitian, Pengabdian Masyarakat dan Luaran
Get PDFHigher education institutions frequently struggle to manage research, community service, and output data. Manual data and information management is prone to mistakes. It is challenging for leaders and stakeholders to monitor and evaluate performance. This study intends to address these issues by offering a platform that meets the needs of the Community Service Research Institute (LPPM), leaders, and stakeholders. The primary features produced are statistics on research, service, and output data, as well as report generating automation. This study employs RAD to create the system. The system developed has been declared functional based on the results of blackbox testing with equivalent partitions. According to the 91% usability testing estimate, users are pleased with the information system built, and the system is simple to use. This system's specific benefits and potential implications include improved data management efficiency, consolidated data access, accreditation and reporting support, and higher institutional reputatio
Analisis Kompetensi Siswa Dalam Ilmu Robotika Menggunakan Mixed Methods
Get PDFHis study aims to evaluate the impact of robotics training on the technical and analytical skills of students at SMK NWDI Renco. The background of this research is based on the importance of developing technical and analytical skills in the era of the Industrial Revolution 4.0, where technology and automation have become integral parts of various industrial sectors. Vocational education at the high school level plays a strategic role in preparing a competent and adaptive workforce to meet technological advancements.The research method used is a mixed-method approach, combining both quantitative and qualitative methodologies. An experimental design was implemented with pre-test and post-test evaluations to measure changes in students' technical and analytical skills before and after the robotics training. Quantitative data were collected through specially developed technical and analytical skill tests, while qualitative data were gathered through in-depth interviews and Focus Group Discussions (FGDs) with students and teachers involved in the training.
The robotics training program was conducted over eight weeks, covering topics such as the fundamentals of robotics, programming, and practical applications through small-scale projects. Participants were purposively sampled and consisted of 30 eleventh-grade students from SMK NWDI Renco. A pre-test was conducted prior to the training to assess the students' baseline skills. During the training, direct observations were made to document students’ progress, and activities were documented. A post-test was conducted after the training to evaluate changes in technical and analytical skills. The results of the study showed a significant improvement in students’ understanding and skills. The average pre-test score was 63.2, while the average post-test score increased to 84.5. Specifically, the improvements included a 41.7% increase in the understanding of robotics concepts, a 35.4% improvement in microcontroller utilization, and a 24.6% improvement in sensor and actuator applications
Survei Teknik Pemilihan Fitur Untuk Sistem Deteksi Intrusi Berbasis Machine Learning
Get PDFWith the increasing threat to cybersecurity, Machine Learning (ML)-based Intrusion Detection Systems (IDS) are becoming increasingly important for detecting and preventing network attacks. The selection of appropriate features is a key factor in improving the performance of IDS, as it can enhance detection accuracy, reduce model complexity, and save computation time. This article examines various feature selection techniques used in ML-based IDS, including filter, wrapper, embedded, and hybrid techniques. Each technique has its advantages and disadvantages, depending on the characteristics of the dataset and the type of attack encountered. This research also evaluates the effectiveness of these techniques using popular datasets such as KDD Cup 99, NSL-KDD, and CICIDS 2017. The results show that filter techniques are more efficient in terms of time, while wrapper and hybrid techniques offer higher detection accuracy, although they require more resources. The embedded technique combines efficiency and accuracy with time savings in model training. This article also discusses the importance of good feature selection for classification in IDS, as well as the challenges faced by IDS in overcoming its limitations. This research provides a comprehensive overview of feature selection in ML-based IDS and recommendations for further development and implementation to address increasingly complex threats