Publikasi Jurnal Universitas Islam 45
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Rahim Sebagai Madrasah Pertama: Pendidikan Prenatal Dalam Perspektif Islam Di Era Modern
No full textThis research examines the importance of prenatal education from an Islamic perspective, emphasising that human life begins before birth when the spirit is blown into the foetus. In this context, prenatal education is considered crucial for the development of the child's character and personality. Through a literature study approach, this research analyses various literatures, including relevant Qur'anic verses and hadith, as well as scholars' views on the role of parents in educating children from the womb. The results show that the foetus has the ability to sense and interact with the surrounding environment, so parents, especially mothers, should provide positive stimulus to support the child's development. In addition, this article highlights the challenges faced by parents in the modern era in implementing education in accordance with Islamic values. Thus, this study aims to provide a better understanding of child education in the womb and its relevance in the context of modern life
Soil Improvement using Cement Deep Mixing (Case study: Dredging of the Channel and Port Basin of Benoa)
Full text linkThe problem we often encounter in the field of geotechnics, especially in Indonesia, is soft soil. The characteristic of soft soil is low bearing capacity. During the dredging process of the harbor basin, the soft soil in the harbor may experience movement. Therefore, a system is needed to retain the soil on the land side of the port in the form of sheet piles. However, the safety factor does not meet the requirements. Therefore, soil improvement is necessary to maintain soil stability by increasing the soil's shear strength, one of the methods that can be used is Cement Deep Mixing (CDM). This research aims to determine the required ratio of the area to be repaired. The analysis was conducted using the finite element method (FEM) with PLAXIS 2D. The research results show a CDM Improvement Ratio of 50%, a width of 20 m, and a depth of 35 m. The reinforcement includes Steel Pipe Sheet Pile (SPSP) with a diameter of 711.2 mm, a thickness of 16 mm, and a depth of 37 m, as well as Spun Pile anchors with a diameter of 800 mm, a thickness of 120 mm, and a depth of 20 m, with a distance of 2.2 m between each anchor and a distance of 15.76 m from the sheet pile. The modeling data used is the CDM soil improvement data from the Benoa Harbor Dredging Project, Indonesia
Perbandingan Metode Beban Seismik Statis Ekuivalen, Spektrum Respons, dan Riwayat Waktu pada Kubah
No full textDome structures are known to have good seismic resistance. However, the Indonesian National Standard (SNI) does not extensively discuss the earthquake loading methods that can be used as references in designing dome structure elements. This study aims to identify the most appropriate earthquake loading method for buildings with a dome shape. Several earthquake loading methods are compared, including equivalent static analysis, spectral response, and time history. A case study is used, involving a dome structure with a span of 60 meters, a height of 30 meters, and made of A36 steel. The earthquake source location is taken from Denpasar, Bali. The analysis includes base shear, deformation comparison, and internal forces for all three loading methods. The results show differences in structural responses between the equivalent static, response spectrum, and time history methods. The response spectrum method is considered more suitable for dome structure modeling in terms of safety, while the equivalent static method is more appropriate for practical considerations and ease of design.Struktur kubah sangat baik dalam menahan tekanan angin, gelombang air, dan gempa bumi. Aki-bat kompleksitas desain dan belum adanya tinjauan di SNI, diperlukan analisis metode pembebanan gempa yang tepat selama proses pemodelan. Metode pembebanan gempa digunakan statik ekuivalen, respon spektra, dan time history. Data material dan geometri dari “Dynamic Structural Responses of Long-span Dome Structures Induced by Tornadoes” oleh Li et al. (2019), kemudian memodelkan struktur menggunakan perangkat lunak ETABS v19. Pembebanan struktur mencakup beban gravitasi, gempa, dan angin sesuai dengan SNI 1726:2019 dan SNI 1727:2020, dengan sumber gempa dari Denpasar, Bali. Hasil analisis berupa gaya lateral tingkat dan gaya geser kemudian dibandingkan antara ketiga metode. Penelitian menunjukkan perbedaan respons struktur antara metode statik ekivalen, respon spektra, dan time history. Metode respon spektra lebih layak sebagai pemodelan struktur kubah dari faktor keamanan bangunan-nya, namun untuk mendapatkan kemudahan dan keamanan desain dapat digunakan statik ekivalen dalam pemodelannya
TRANSFORMASI ORGANISASI UNIT KERJA PENGADAAN BARANG DAN JASA PEMERINTAH DAERAH KABUPATEN BUTON TENGAH
Full text linkOrganizational transformation is a form of change to encourage organizations to be able to adapt to public demands and organizational needs. Organizational transformation goes through three stages, namely unfreezing, changing, and refreezing. The purpose of the research is to explain the organizational transformation process of the Goods and Services Procurement Work Unit of the Central Buton Regency in realizing transparency. The research method is qualitative descriptive with three data collection methods, namely interviews, observations, and documentation. The results of the study show that the introduction stage of organizational transformation is carried out through the introduction process, both organizational structure, human resource recruitment and employee work management. Furthermore, the stage of organizational change of UKPBJ in Central Buton district is carried out with a gradual process, so that its implementation has encouraged the procurement of goods and services that are accountable, transparent and responsive. Furthermore, this Refreezing Stage aims to strengthen and accept the changes that have been made so that they become new habits and are embedded in the organizational culture. In general, it can be concluded that organizational transformation encourages good organizational governance and the success of transformation is greatly influenced by the commitment of leaders in the regions
Interactive Learning Media for Early Childhood Education through Android-Based Educational Games using GDLC Method
No full textThe rapid development of technology has influenced various aspects of life, including education. One of the innovations in the field of education is the use of technology-based learning media, such as interactive multimedia, which can enhance students' interest in learning. This research aims to develop an Android-based educational game called Edufun Kids Game, using the Game Development Life Cycle method. (GDLC). This game is designed to help early childhood children recognize letters, numbers, animals, and fruits interactively, creating a fun learning atmosphere and making it easier for educators to deliver the material. The research was conducted at the Tunas Ilmu Early Childhood Education in Pagar Alam City, where the previous learning media was still conventional. The implementation of the Edufun Kids Game shows positive results in increasing children's learning motivation and facilitating a more effective teaching and learning process, as evidenced by beta testing results where 85% of respondents rated the game as helpful for preschoolers in recognizing numbers, letters, animals, and fruits. The use of Android technology allows this application to be easily accessed on mobile devices, providing flexibility for users. The development of Android-based educational games can be an innovative solution to improve the quality of early childhood educatio
Sentiment Analysis of Free Nutritious Meal Programme on Social Media X using Linear Regression and Random Forest Algorithms
No full textThis study analyzes public sentiment towards the Free Nutritional Food Program on social media platform X using Linear Regression and Random Forest algorithms. By collecting data from Twitter and employing sentiment analysis methods based on natural language processing, this research aims to measure societal perceptions and compare the effectiveness of both algorithms in sentiment classification. The results indicate that Random Forest outperforms Linear Regression with an accuracy of 0.85 and a recall of 0.97, compared to Linear Regression, which achieves an accuracy of 0.83 and a recall of 0.91. While Linear Regression excels in precision with a score of 0.86, whereas Random Forest records 0.85, overall, Random Forest achieves a higher F1-Score of 0.90 compared to Linear Regression's score of 0.88. These findings provide important insights for governments and policymakers in responding to public opinion and designing more effective interventions to enhance the progra
Sentiment Analysis of YouTube Comments Using Machine Learning Models
No full textThe documentary video “115. You Are Human Too” from the #MenjadiManusia YouTube channel raises mental health issues with an empathic narrative approach. Social media plays a role in shaping public understanding, but opinions vary from support to stigma. This study analyzed the sentiment of 1,350 comments on the video using the YouTube API. Comments were classified into positive, negative and neutral sentiments using the IndoBERT model after preprocessing. Four machine learning algorithms were compared: Naïve Bayes, Random Forest, Support Vector Machine (SVM), and Extra Trees. Results showed that SVM had the highest accuracy (79.67%), followed by Random Forest (78.02%), Extra Trees (75.27%), and Naïve Bayes (70.33%). This analysis reveals patterns of public opinion on mental health, which can serve as a reference for academics, health practitioners, and policy makers in designing more effective communication strategies. In addition, this research is expected to increase public understanding of mental health and encourage more inclusive discussions on social media
Comparative Analysis of Triangulation Methods for Optimal Solutions to the Art Gallery Problem
No full textTriangulation is the process of breaking down an n-sided polygon into triangles and it is necessary in deciding the optimal count and the position of guards in the Art Gallery Problem (AGP) There is a theoretical limit that has been established which states that the number of required guards needed to keep an eye on such a polygon is ⌊n/3⌋ and this research considers this as the limit. Among various triangulation methods, Ear Clipping and Minimum Weight are two primary approaches frequently used to achieve optimal solutions. Nonetheless, its comparison with other methods, more particularly the amount of guards required for the maximum theoretical figure, is still a gap in literature. The aim of this research is to create an AGP simulation program and test it against the theoretical upper bound, determining the number of guards required. 228 simple polygons with vertices varying between 10 and 110 were utilized in this research. The polygons were classified into three groups based on the ratio of convex to concave vertices: less concave vertices, equal amount of concave and convex vertices and vice versa. Result study shows that the Ear Clipping method is significantly superior to Minimum Weight in reducing guard requirements. Practically speaking, these advancements are important for the design of engineering systems such as surveillance systems and the surveillance of public spaces. In the context of building security system design and monitoring of large areas, these conclusions are of utmost importance
Like a Chameleon: Deception Language in Spy x Family
No full textCritical analysis of deceptions in fictions can provide a comprehensive discourse. The study examined deception within the Forger family in Spy x Family, where each member hides their true identity: Loid is a spy, Yor an assassin, and Anya an esper. Using Shuy's (2012) theory, a qualitative analysis of their dialogue identified nine types of deception: giving overly detailed or marginally relevant details, complicating stories, providing unusual or external associations, displaying subjectivity, correcting spontaneously, acknowledging memory loss, and excessive self-reference. The most common deception type in family interactions is giving marginally relevant details. The research highlights deception's key role in the anime's plot and character relationships and serves as a foundation for future studies on deception
PENGUATAN KOMPETENSI GURU MELALUI PELATIHAN DESAIN PEMBELAJARAN BERBASIS GAMMA: PRESENTATIONS AND SLIDE DECKS WITH AI DI SEKOLAH DASAR
No full textThe training on Gamma-based instructional design aims to enhance teachers' ability to create effective presentations and slide decks using artificial intelligence (AI). The training methods include delivering material on the use of Gamma Presentations and Slide Decks with AI, interactive discussions, and hands-on practice, where participants are guided in developing engaging and comprehensible instructional content. This training incorporates design software and AI applications to improve the quality and attractiveness of teaching materials. The community service initiative targets teachers at UPT SPF SDN 1 Mongisidi, a leading elementary school in Makassar City. Through group assignments, teachers are also given opportunities to collaborate, exchange ideas, and provide feedback to one another. Evaluation results indicate a significant improvement in teachers' understanding of instructional design, as well as increased confidence in utilizing technology. This training is expected to have a positive impact on the quality of elementary education, encourage innovation in teaching, and foster a more interactive learning environment.Pelatihan desain pembelajaran berbasis Gamma bertujuan untuk meningkatkan kemampuan guru dalam menciptakan presentasi dan slide deck yang efektif menggunakan kecerdasan buatan (AI). Metode pelatihan yang diterapkan meliputi pemberian materi tentang penggunaan Gamma Presentations And Slide Decks With AI, diskusi interaktif, dan praktik langsung, di mana peserta diajak untuk membuat konten pembelajaran yang menarik dan mudah dipahami. Pelatihan ini melibatkan penggunaan perangkat lunak desain, serta aplikasi AI untuk meningkatkan kualitas dan daya tarik materi ajar. Melalui penugasan kelompok, guru juga diberikan kesempatan untuk berkolaborasi, berbagi ide, dan memberikan umpan balik satu sama lain. Hasil evaluasi menunjukkan peningkatan signifikan dalam pemahaman guru terhadap desain pembelajaran, serta peningkatan kepercayaan diri dalam menggunakan teknologi. Pelatihan ini diharapkan dapat berdampak positif terhadap kualitas pembelajaran di sekolah dasar, mendorong inovasi dalam pengajaran, dan menciptakan lingkungan belajar yang lebih interaktif.
Kata kunci: Desain Pembelajaran, Gamma, Teknologi AI, Sekolah Dasar, Pelatihan Guru, Presentasi Interaktif, Keterampilan Teknologi, Pendidikan Inovatif