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All Journal Kappa Journal Djtechno: Jurnal Teknologi Informasi Al-Ibda: Jurnal Pendidikan Guru Madrasah Ibtidaiyah
Rara, Rara
Unknown Affiliation
Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Physics Social Sciences Other

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ANALYSIS OF PANCASILA EDUCATION TEACHING MATERIALS IN PREVENTING BULLYING Rahmawati, Safina Dian; Azza, Millatul; Rara, Rara; Damayana, Eva; Andrian, Firma; Adi Wijaya, Satria Nugraha
Al-Ibda: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Vol. 4 No. 01 (2024): JURNAL PGMI Al-IBDA'
Publisher : STIT Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54892/jpgmi.v4i01.391

Abstract

Pancasila education plays an important role in efforts to prevent bullying that occurs within the school environment and outside the school environment. This research aims to describe the relevance of Pancasila and citizenship education teaching materials on bullying prevention indicators. This research uses a literature study method with techniques for analyzing teaching materials in the form of teacher's guidebooks and research journals. The research results show that Pancasila education in preventing bullying. Providing messages in the form of affirmation to each student can get used to behaving in accordance with Pancasila values.
Time Dilation in Interstellar Missions: A Systematic Literature Review on Relativistic Effects and Technological Solutions Rara, Rara; Pertiwi, Nadiar; akhsan, Hamdi; Ariska, Melly
Kappa Journal Vol 9 No 2 (2025): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i2.30399

Abstract

Interstellar exploration faces fundamental challenges due to the time dilation effects of Einstein's theory of relativity. This review presents a comprehensive analysis of the principle of time dilation, implications for interstellar missions, as well as cutting-edge technologies that utilize this principle. The Systematic Literature Review (SLR) method with PRISMA approach was applied, resulting in 42 relevant articles that met the inclusion criteria. The review results show that: (1) the effects of time dilation pose significant challenges in interstellar mission planning, particularly in the aspects of navigation, communication, and crew biology; (2) the development of cutting-edge technologies such as the Breakthrough Starshot relativistic vehicle, high-precision atomic clocks, and autonomous AI systems offer innovative solutions to overcome these challenges; (3) the integration of relativity understanding with these advanced technologies opens up new opportunities to realize interstellar exploration in the coming decades. These findings confirm that although time dilation is a major obstacle, the development of revolutionary technologies can turn it into a supporting factor in the realization of interstellar missions.
PERAN INTERNET OF THINGS (IOT) DAN ARTIFICIAL INTELLIGENCE (AI) DALAM MAINTENANCE LABORATORIUM: TINJAUAN LITERATUR Rara, Rara; Wulandari, Dwi Noviana; Maliya, Fina; Akhsan, Hamdi; Amri, Iful
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.6538

Abstract

Penelitian ini bertujuan untuk mengkaji peran teknologi Internet of Things (IoT) dan Artificial Intelligence (AI) dalam mendukung proses pemeliharaan (maintenance) di laboratorium modern. Metode yang digunakan adalah Systematic Literature Review (SLR) berdasarkan pedoman PRISMA, 26 artikel dengan rentang tahun (2015-2025) dari database seperti Scopus dan IEEE Xplore dianalisis untuk menjawab empat pertanyaan penelitian : (1) penggunaan IoT (sensor dan platform), (2) aplikasi AI (algoritma dan fungsi), (3) dampak terhadap efisiensi, pengukuran dan produktivitas serta (4) tantangan implementasi. IoT dengan sensor DHT11 dan platform Docker memungkinkan pemantauan peralatan secara real-time dan otomatis. AI, melalui algoritma pembelajaran mesin memungkinkan prediksi kerusakan dan eksperimen otomatis. Teknologi ini meningkatkan efisiensi energi hingga 30% dan akurasi hasil laboratorium, tetapi tantangan seperti kompleksitas sistem, interoperabilitas, kualitas data, dan kesiapan SDM menghambat penerapan AI dan IoT. Rekomendasi meliputi proyek percontohan berbasis Raspberry Pi dan pelatihan teknis.
Co-Authors Adi Wijaya, Satria Nugraha Andrian, Firma Azza, Millatul Damayana, Eva Hamdi Akhsan Iful Amri Maliya, Fina Melly Ariska Pertiwi, Nadiar Rahmawati, Safina Dian Wulandari, Dwi Noviana