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All Journal Briliant: Jurnal Riset dan Konseptual Jurnal Teknologi Sistem Informasi dan Aplikasi Building of Informatics, Technology and Science Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics MEANS (Media Informasi Analisa dan Sistem) Idealis : Indonesia Journal Information System Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pengabdian Masyarakat Bangsa SmartComp EduBase: Journal of Basic Education PASAI : Jurnal Pengabdian kepada Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Somantri, Somantri
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Efforts to Improve the Ability to Read and Write the Qur'an of Elementary Madrasah Students Somantri, Somantri; Arief Muhammad Nurhasan; Aini, Qurotul; Puranti, Ayu
EduBase : Journal of Basic Education Vol. 6 No. 1 (2025): EduBase : Journal of Basic Education
Publisher : LJPI UI Bunga Bangsa Cirebon

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Abstract

Objective: This research aims to analyze the efforts made to improve students' ability to read and write the Al-Qur'an at MI Darul Hikam. Novelty: The study highlights the specific strategies implemented by MI Darul Hikam, emphasizing the integration of iqra’ and tahfiz methods, which have not been extensively documented in similar contexts. Methods: The research method was carried out using a descriptive approach. Data collection techniques were conducted through observation, interviews, and documentation. Results: The research results show that MI Darul Hikam implemented various strategies to improve these abilities, including the use of iqra’ and tahfiz methods. This can be seen from the existence of a well-implemented Al-Qur'an (BTQ) reading and writing program and the use of appropriate methods, intensive guidance programs, as well as support from the school and parents. Conclusion: As a result of these efforts, students' ability to read and write the Al-Qur'an experienced a significant increase.
Implementation of Line Card Number Media in Improving Elementary School Students’ Addition and Subtraction Ability Inayah, Ismatun; Mustoip, Sofyan; Somantri, Somantri
EduBase : Journal of Basic Education Vol. 5 No. 2 (2024): EduBase : Journal of Basic Education
Publisher : LJPI UI Bunga Bangsa Cirebon

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This research aims to explore the implementation of Line Card Number media in improving the addition and subtraction abilities of elementary school students at MIS Dar Al Tauhid, Cirebon City. This research uses a qualitative method with a case study approach. Data was collected through direct observation, in-depth interviews with teachers and students, as well as analysis of documents related to the learning process using Line Card Number media. The research results show that the use of Line Card Number media helps students understand the concepts of addition and subtraction more easily and interactively. Teachers reported an increase in student participation during learning, as well as a decrease in errors in solving addition and subtraction problems. Students also stated that this media made them more interested and motivated in learning mathematics. The conclusion of this research is that the Line Card Number media is effective as a learning tool to increase students' understanding of addition and subtraction operations. This media not only makes the learning process more interesting but also helps students internalize basic mathematical concepts in a deeper and more enjoyable way.
Melangkah ke Masa Depan Literasi Digital: Rancang Bangun Sistem Genusian Course Academy dengan Pendekatan Hybrid Collaborative Filtering dan Content-Based Filtering Firdaos, Helfi Apriliyandi; Sujjada, Alun; Somantri, Somantri
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 2 (2025): Volume 10 Nomor 2, Mei 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i2.1957

Abstract

The recommendation system is an important component in enhancing the user experience by providing relevant and personalized course recommendations that align with individual preferences and needs. The Hybrid Collaborative Filtering approach combines the Collaborative Filtering (CF) method, which analyzes user interaction patterns, with the Content-Based Filtering (CBF) method, which evaluates the similarity of course content features. Implementing this hybrid system is expected to overcome the limitations of each method, such as the cold start problem in CF and the limitation of recommendation variety in CBF. This research aims to design a recommendation system in the academic environment known as “Genusian Course Academy”. This hybrid approach is expected to overcome the weaknesses of each approach and result in a more accurate and personalized recommendation system. The implementation of this system is expected to improve the online learning experience and help users find training that matches their needs users.
Rancang Bangun Aplikasi Pemantauan Detak Jantung dan Pelacakan Lokasi bagi Penderita Lemah Jantung Berbasis IoT dan Android Somantri, Somantri; Fergina, Anggun; Maulana, Yosep
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Weak heart is a medical condition that reduces the heart's ability to heat blood throughout the body with optimal efficiency. People with weak heart need regular monitoring regarding their heart condition. Under normal conditions, they should measure the heart rate regularly otherwise a weak heart can lead to serious complications such as acute heart failure or arrhythmias. By using the application, people with heart failure can monitor early signs and symptoms that might indicate complications. The data collected by the application can assist in detecting early changes that are potentially harmful to the patient's health. In this study, the authors designed and developed an IoT and Android-based heart rate monitoring and location tracking system using the prototype method. The prototype method is used in the process of developing this system because it is capable of producing initial prototypes of tools and applications that can be used for testing and validating concepts before carrying out a full implementation. This system consists of two main components, the first is a component of hardware (hardware) and the second is a component of software (software). The hardware used is a pulse sensor that is connected to an Android device via a wireless connection. This sensor is able to detect the patient's heart rate in real-time and send it to the Android device for further processing. In addition, this system is also equipped with a GPS tracking module that allows traveling to the user's location accurately. Software developed using the App Inventor platform. This Android application has an easy-to-use user interface. This application can display real-time heart rate data in graphical form and provide notifications if a significant change is detected in the patient's heart rate. In addition, this application can also display the patient's location on an interactive map. The test results show that this system is capable of monitoring the patient's heart rate with high accuracy and sending data in real-time to an Android device. In addition, tracking the location of the patient's whereabouts was also successfully carried out with an adequate level of precision. This system provides great benefits in monitoring and treating patients with heart failure, enabling medical staff and the patient's family to take quick and appropriate action if there is a significant change in the patient's heart rate or if the patient is in an emergency situation
Implementasi Retrieval Augmented Generation dalam Sistem Chatbot Dermatologi Berbasis Website Kharisma, Ivana Lucia; Hidayat, Muhammad Syarif; Somantri, Somantri; Kamdan, Kamdan
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 3 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i3.12258

Abstract

Indonesia’s tropical climate, poor sanitation, and limited access to medical services especially in remote areas are key factors contributing to the high prevalence of skin diseases. Direct access to dermatologists remains difficult for many people. This study aims to develop a dermatological consultation Chatbot using a Retrieval Augmented Generation (RAG) approach, leveraging the LangChain framework, the LLaMA model, and the Qdrant vector database. The dataset includes 30 types of skin diseases sourced from the National Library of Medicine. The preprocessing stage involved whitespace normalization, removal of special characters, and handling of missing values to ensure data consistency before vectorization. Evaluation results showed high scores for Faithfulness (0.9429) and LLMContextRecall (0.9600), indicating that the responses were relevant and aligned with the source documents. However, a relatively low Precision score (0.4720) suggests a need for improved information accuracy. The Chatbot is integrated with the Chainlit platform, offering an interactive user interface that supports login, conversation history, and user feedback features to facilitate system development based on user input. The system demonstrated fast retrieval times (0.08–0.29 seconds), though answer generation remains slow due to CPU infrastructure limitations (255–283 seconds). Future improvements should focus on enhancing answer accuracy, optimizing the model's performance, enriching the medical reference dataset, and adding automated medical validation features to ensure the reliability of consultations. Therefore, this Chatbot system is expected to serve as a cost-effective and efficient alternative for providing initial information on skin conditions to individuals with limited access to healthcare services.
The IMPLEMENTASI YOLOV8 NANO PADA SISTEM MONITORING BUDIDAYA JAMUR TIRAM BERBASIS IOT Nopiandi, Andi; Yasin, Fakhriyal Riyandi; Prayoga, Rizki Haddi; Somantri, Somantri; Kharisma, Ivana Lucia
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10673

Abstract

Oyster mushrooms are one of the agricultural commodities with high economic value and are widely cultivated in Indonesia. However, the conventional process of monitoring their growth is still carried out manually, which requires considerable time and labor while also being prone to errors in decision-making. To address this issue, this study developed an automatic oyster mushroom growth monitoring system using Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The system uses a DHT22 sensor to measure temperature and humidity, a BH1750 sensor to measure light intensity, and an ESP32-CAM module to capture mushroom images. The data is transmitted through the ESP32 and analyzed using Python, while the images are processed by a YOLOv8 Nano model to classify mushroom growth stages into baglog, young mushrooms, and ready-to-harvest mushrooms. The monitoring results are displayed in real time on a dashboard and stored in a MySQL database. The model training results show fairly good performance, with an average precision of 0.69, recall of 0.78, and a mean Average Precision (mAP@0.5) of 0.71. Further testing was conducted on 15 test images for each mushroom stage, and all images were successfully detected according to their actual classes. Additionally, tests conducted on 10 negative images (without mushroom objects) also supported the system’s reliability. The success of the system is further supported by stable network connectivity for data transmission, adequate lighting in the cultivation room during image capture, and automatic adjustment of temperature and humidity according to the mushroom growth phase. This system demonstrates its capability to monitor mushroom growth conditions automatically and accurately, offering a practical solution for supporting more modern and efficient mushroom cultivation practices.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Agung Gumelar Alun Sujjada Amalia, Phina Putri Arief Muhammad Nurhasan Benedicta, Octavia Fatalifi, Amerjid Ghulamson Firdaos, Helfi Apriliyandi Hasanah, Nurul Islam Hermawan, Tina Haerani Inayah, Ismatun Insany, Gina Purnama Kamdan Kharisma, Ivana Lucia Malik, Julhan Abdul Maulana, Riko Maulana, Yosep Muhammad Syarif Hidayat Mustoip, Sofyan Nopiandi, Andi Prayoga, Rizki Haddi Puranti, Ayu Putra, Reza Rama Putri, Andini Wangsa Putriana, Akfi Tsani Qurotul Aini Renjani, Amelinda Rohmat, Satria Rizki Sepriyadi, Adi Sujjadai, Alun Sukardi, Evi Septiyani Yasa, Aditama Yasin, Fakhriyal Riyandi Zaman, Syamsul