Jurnal Online Universitas Ibrahimy
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Prediction Model of Low Birth Weight Based on the Factors that Influence at West Bandung Regional Hospital
Get PDFLow Birth Weight (LBW) is a major contributor to neonatal mortality and developmental disorders in Indonesia. In West Bandung Regency, the prevalence of LBW remains high and plays a significant role in the overall infant mortality rate in West Java Province. Despite this, no locally adapted predictive model has been developed to assess LBW risk based on maternal characteristics. This study aimed to construct a predictive model for LBW using maternal factors among mothers delivering at three district public hospitals: RSUD Cililin, RSUD Lembang, and RSUD Cikalong Wetan. This quantitative study employed a retrospective approach involving 265 respondents selected through purposive sampling. Data were collected from medical records and brief interviews and analyzed using multiple linear regression. The research was conducted between January and March 2024. The results showed that among six independent variables tested, three had a statistically significant effect on infant birth weight: maternal age (p = 0.047), maternal weight gain during pregnancy (p = 0.004), and parity (p < 0.001). The predictive model generated was: Y = 2570.162 + 3.739X₁ – 11.501X₂ – 94.726X₃, with an R² value of 0.464, indicating that 46.4% of the variation in birth weight can be explained by the model. The model suggests that maternal age positively influences birth weight, whereas excessive maternal weight gain and higher parity show a negative relationship. This model can be used by healthcare providers as an early screening tool to detect LBW risk and to support targeted nutrition education and antenatal interventions at health service facilities
LIVING QUR\u27AN PERSPEKTIF PENDIDIKAN ISLAM: BELAJAR DARI TRADISI KEAGAMAAN ETNIS SASAK TRANSMIGRASI DI DESA KARYA MUKTI DONGGALA SULAWESI TENGAH
No full textThis study examines the Living Qur’an in the religious traditions of the Sasak ethnic group in Karya Mukti Village, Dampelas District, Donggala Regency, from the perspective of Islamic education. The main focus of this research is to explore how the implementation of the Living Qur’an within the religious traditions of the Sasak community in Karya Mukti Village can be viewed from an educational perspective, particularly in shaping Islamic character through Qur’anic values. This study employs a qualitative method with a descriptive approach. Data were collected through interviews with village heads, religious leaders, traditional leaders, and community figures, as well as through relevant documentation. The data collection techniques included observation, interviews, and document analysis. The data were analyzed through reduction, presentation, and conclusion drawing. The findings indicate that the implementation of the Living Qur’an is reflected in various religious practices such as completing the Qur’an, congregational prayers, serakan, and hiziban, all of which embody Qur’anic values. Furthermore, Islamic values are manifested in the community’s social life through attitudes of tolerance, cooperation, and respect for religious leaders. From the perspective of Islamic education, these traditions play a significant role in the informal transmission of Islamic values that shape the religious and social character of the younger generation. Thus, the Living Qur\u27an serves not only as a spiritual symbol but also as a contextual educational medium rooted in local culture.This study examines the Living Qur\u27an in the Religious Tradition of the Sasak Ethnic Group in Karya Mukti Village, Dampelas District, Donggala Regency from the Perspective of Islamic Education. The main focus of this study is how the implementation of the Living Qur\u27an in the religious tradition of the Sasak ethnic community in Karya Mukti Village is reviewed from an educational perspective, especially in forming Islamic character through the values of the Qur\u27an. This study uses a qualitative method with a descriptive approach. Data were obtained through interviews with village heads, religious leaders, traditional leaders, and community leaders, as well as related documentation. Data collection techniques involve observation, interviews, and document analysis. The collected data are analyzed through data reduction, data presentation, and drawing conclusions. The results of the study show that the implementation of the Living Qur\u27an is reflected in various religious tradition practices such as completing the Qur\u27an, praying together, serakan, and hiziban, which are full of Qur\u27anic values. In addition, Islamic values are also manifested in the social life of society through attitudes of tolerance, mutual cooperation, and respect for religious figures. From the perspective of Islamic education, this tradition plays an important role in the informal inheritance of Islamic values that shape the religious and social character of the younger generation. Thus, the Living Qur\u27an is not only a spiritual symbol, but also a contextual educational medium based on local culture
Perancangan Sistem Informasi Geografis Pemetaan dan Penyewaan Lahan Desa Lamongan
Get PDFPerkembangan teknologi informasi mendorong digitalisasi dalam pengelolaan data spasial, termasuk pada aktivitas pemetaan dan penyewaan lahan. Di Desa Lamongan, proses pengelolaan lahan yang masih dilakukan secara manual menyebabkan kendala dalam pencarian informasi, identifikasi lokasi, dan verifikasi data penyewa. Penelitian ini bertujuan merancang Sistem Informasi Geografis sebagai solusi pengelolaan lahan berbasis peta digital yang mampu menyajikan data lahan secara informatif dan mendukung proses penyewaan. Metode penelitian menggunakan pendekatan kualitatif melalui observasi, wawancara, dan dokumentasi, sedangkan perancangan sistem diterapkan dengan metode prototype melalui pembuatan DFD, ERD, dan desain antarmuka. Hasil penelitian menghasilkan rancangan sistem yang dapat dimanfaatkan sebagai dasar implementasi aplikasi pemetaan lahan ke tahap pengembangan lebih lanjut. Perancangan sistem ini diharapkan dapat meningkatkan efektivitas, ketelitian, serta efisiensi dalam pengelolaan lahan di Desa Lamongan
Analisis Kepercayaan Dan Risiko Menggunakan Metode Technology Acceptance Model Dalam Penggunaan Mobile Banking Pada Pt. Bank Sumsel Babel Cabang Kayuagung
Get PDFBanking is an institution that carries out activities in the form of activities to collect funds from the public and channel them in the form of loans or financing. In general, customers tend to use mobile banking based on various factors, including convenience, comfort and trust in the technology. One method that can be used to measure interest in using information technology is to use the Technology Acceptance Model (TAM). Based on observations made on several respondents who have used the South Sumatra Babel Bank mobile banking application, it can be said that interest in using the application does not make users bored or lazy about using it. The guarantee is that users will be given ease in using the mobile banking application.Banking is an institution that carries out activities in the form of activities to collect funds from the public and channel them in the form of loans or financing. In general, customers tend to use mobile banking based on various factors, including convenience, comfort and trust in the technology. One method that can be used to measure interest in using information technology is to use the Technology Acceptance Model (TAM). Based on observations made on several respondents who have used the South Sumatra Babel Bank mobile banking application, it can be said that interest in using the application does not make users bored or lazy about using it. The guarantee is that users will be given ease in using the mobile banking application
Evaluasi Akurasi dan Presisi Large Language Model (LLM) dalam Generasi User Story untuk Perangkat Lunak
Get PDFGenerating effective user stories is essential yet time-consuming in software development, especially in large scale Agile projects. This study evaluates the performance of three Large Language Models (LLMs): ChatGPT-4.0, DeepSeek, and Gemini 2.5 in generating user stories automatically. The objective is to compare their accuracy and precision to determine the most suitable model for automating requirements documentation. Using seven test prompts from various industry domains, each model generated user stories evaluated with BLEU-4, ROUGE-L F1, and METEOR metrics. Results show that while all models produced structurally valid outputs, Gemini 2.5 achieved the highest average scores (0.386), surpassing DeepSeek (0.355) and ChatGPT (0.348). Gemini 2.5 demonstrated superior consistency, clarity, and semantic completeness. This research contributes a performance benchmark for LLMs in software requirement generation and highlights the practical benefits of LLM-based automation over manual methods, including speed, consistency, and adaptability. Gemini 2.5 is recommended as the optimal model for generating user stories in software engineering contexts.Membuat user story yang efektif merupakan hal penting namun memakan waktu dalam pengembangan perangkat lunak, terutama pada proyek Agile skala besar. Penelitian ini mengevaluasi kinerja tiga model bahasa besar (Large Language Models/LLM): ChatGPT-4.0, DeepSeek, dan Gemini 2.5 dalam menghasilkan user story secara otomatis. Tujuannya adalah untuk membandingkan akurasi dan presisi dari masing-masing model guna menentukan model yang paling sesuai untuk otomatisasi dokumentasi kebutuhan. Dengan menggunakan tujuh prompt uji dari berbagai domain industri, setiap model menghasilkan user story yang dievaluasi menggunakan metrik BLEU-4, ROUGE-L F1, dan METEOR. Hasil menunjukkan bahwa meskipun semua model menghasilkan output yang valid secara struktur, Gemini 2.5 meraih skor rata-rata tertinggi (0,386), mengungguli DeepSeek (0,355) dan ChatGPT (0,348). Gemini 2.5 menunjukkan konsistensi, kejelasan, dan kelengkapan semantik yang lebih unggul. Penelitian ini memberikan tolok ukur performa bagi LLM dalam pembuatan kebutuhan perangkat lunak serta menyoroti manfaat praktis dari otomatisasi berbasis LLM dibandingkan metode manual, termasuk dalam hal kecepatan, konsistensi, dan adaptabilitas. Gemini 2.5 direkomendasikan sebagai model terbaik untuk menghasilkan user story dalam konteks rekayasa perangkat lunak
ANALISIS KINERJA METODE GLCM DAN LS-SVM DALAM KLASIFIKASI CITRA SAMPAH ORGANIK DAN ANORGANIK
Get PDFWaste management, particularly in distinguishing organic and inorganic types, remains a major environmental challenge. Manual sorting processes are inefficient and prone to errors. This study aims to develop an automated waste image classification system using a combination of Gray Level Co-occurrence Matrix (GLCM) and Least Squares Support Vector Machine (LS-SVM). A total of 1,060 images were used, divided equally between organic and inorganic categories. Texture features such as contrast, correlation, energy, and homogeneity were extracted using GLCM and combined with mean RGB color features. The LS-SVM model with the Radial Basis Function (RBF) kernel achieved an accuracy of 87 percent, outperforming conventional SVM. The model’s effectiveness aligns with previous studies that used SVM-based waste classification and texture feature enhancement with GLCM descriptors. The model was implemented using a Flask web application for real-time predictions.Waste management, particularly in distinguishing organic and inorganic types, remains a major environmental challenge. Manual sorting processes are inefficient and prone to errors. This study aims to develop an automated waste image classification system using a combination of Gray Level Co-occurrence Matrix (GLCM) and Least Squares Support Vector Machine (LS-SVM). A total of 1,060 images were used, divided equally between organic and inorganic categories. Texture features such as contrast, correlation, energy, and homogeneity were extracted using GLCM and combined with mean RGB color features. The LS-SVM model with the Radial Basis Function (RBF) kernel achieved an accuracy of 87 percent, outperforming conventional SVM. The model’s effectiveness aligns with previous studies that used SVM-based waste classification and texture feature enhancement with GLCM descriptors. The model was implemented using a Flask web application for real-time predictions
GERAKAN DAKWAH KOMUNITAS ALL BIKER’S DI PULAU BAWEAN KABUPATEN GRESIK
Get PDFThis research examines a da\u27wah movement carried out by the All Biker community on Bawean Island, Gresik Regency. Initially, many residents were hesitant to welcome the All Biker community. However, after the community demonstrated positive activities such as holding prayers (sholawah), visiting religious graves, and engaging in recreational activities including communal clean-ups, the community began to accept it and even participate in its activities. This research employed a qualitative method with a phenomenological approach, as it addresses phenomena occurring within the community. The techniques employed in this study were observation and interviews with key activists within the All Biker community who knew and understood the community\u27s activities. Documentation was also used. From these techniques, it can be concluded that the da\u27wah movement carried out by the All Biker community is an activity that contains da\u27wah, carried out through concrete actions that reflect Islamic values and teachings to inspire the community
PELATIHAN DRUMBAND BERBASIS KEARIFAN LOKAL TERINTEGRASI NILAI-NILAI ISLAM PADA GURU SEKOLAH DASAR NEGERI MANUNGGAL BHAKTI
Get PDFExtracurricular activities can be used as a means to develop students\u27 interests and talents and achieve achievements at school. One of the success factors in extracurricular activities is the role of competent coaches. Teachers can become coaches in extracurricular activities to support extracurricular activities. One way to carry out these extracurricular activities is to provide training to teachers to become coaches in extracurricular activities. The purpose of this training is to realize the cadreship of teachers as coaches in sustainable drumband extracurricular activities. The method used in this community service activity is the CBR method. Activities are carried out on teachers. The training includes basic drumband training, the use of musical instruments in each drumband section, playing intro songs to the ending and combined exercises for blocking and finishing. The results of this training activity show that this activity can provide a foundation for carrying out drumband extracurricular activities in the future. With teachers who have the competence to train extracurricular activities, teachers can collaborate to carry out drumband extracurricular activities to develop students\u27 interests and talents in order to achieve achievements for the school
PENERAPAN PERANGKAT BIO-BATERAI BERBAHAN AMPAS KOPI DAN PEMANFAATANNYA SEBAGAI MEDIA PEMBELAJARAN FISIKA SMA DI KOTA TOMOHON
Get PDFCoffee is one of the most popular caffeinated beverages globally, with a continuously growing commercial demand. This community service project aims to implement a coffee ground-based bio-battery device and utilize it as a learning medium for high school physics in Tomohon, in collaboration with the Tomohon Physics Teacher Working Group (MGMP Fisika). The program was conducted using Service Learning methods, which integrate community service with academic learning to achieve meaningful outcomes for both students and the community. The implementation consisted of five stages: socialization, training, technology implementation, mentoring, and evaluation, along with program sustainability efforts. The outcomes achieved include the availability of a coffee ground bio-battery prototype, a renewable energy learning module, and increased knowledge and skills among partners, as shown by pretest and posttest results. Additional outputs include the publication of articles in electronic and print media, activity implementation videos, and a guide module for developing and using the bio-battery prototype. Furthermore, an additional outcome was obtaining copyright for the technology. This project produced a bio-battery device that serves not only as an alternative energy source but also as an effective and relevant physics learning medium, enhancing students\u27 awareness of renewable energy and environmental sustainability
KORELASI HAFALAN AL-QUR’AN TERHADAP KEMAMPUAN MEMBACA TEKS BAHASA ARAB
Get PDFAl-Qur’an is the holy book of Muslims in Arabic. A growing phenomenon in society shows that learning Arabic is still considered difficult and complicated. However, then there is an assumption or paradigm that students who memorize the Al-Qur\u27an definitely have Arabic language skills, especially in reading Arabic texts and the results are guaranteed to be good, this is in accordance with data obtained from observations of Tahfidz students at Sirojul Ulum Islamic Boarding School Jember. The aim of this research is to ascertain the connection between students\u27 memorization of the Al-Qur\u27an and their proficiency in reading Arabic literature. The form of this research is correlational research, which is quantitative in nature and the subjects used in this research were students of the Sirojul Ulum Islamic boarding school, especially students of tahfidz Al-Qur’an. Tests were used to acquire the data. Information regarding the pupils\u27 memorizing of the Qur\u27an was gathered through the tests. The results of this research show that the correlation coefficient between the ability of Sirojul Ulum Tegal Waru Mayang Jember students in reading Arabic texts and memorizing the Al-Qur\u27an has a significance level of >0.05 with a calculated r-count of 0.912. This means that there is a positive correlation between the two objects studied or Ha is accepted because the r count is close to 1. This research category has a strong level of correlation, so it can be concluded that if memorization of the Al-Qur\u27an increases, the quality of Arabic text reading skills will improve