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Jurnal Kridatama Sains dan Teknologi
Published by Universitas Ma'arif Nahdlatul Ulama
ISSN : 26566966     EISSN : 26856921     DOI : -
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Social Sciences
Jurnal KRIDATAMA SAINS DAN TEKNOLOGI diterbitkan oleh Universitas Ma’arif Nahdlatul Ulama (UMNU) Kebumen Pendidikan (Education). Teknologi (technology), Penelitian (research). Bahasa Inggris (Language English), Bahasa Indonesia (Language Indonesian), Olahraga (Sport), Anak Usia Dini (early childhood education), Teknik Informatika (Technical Information), Teknik Sipil (civil Engineering). Pertanian (agriculture), Peternakan (animal husbandry).
Arjuna Subject : Umum - Umum
Articles 280 Documents
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Model Machine Learning yang Dioptimalkan untuk Prediksi Penyakit Jantung Menggunakan R Shiny Amritha, Yadhurani Dewi; Candrawengi, Ni Luh Putu Ika; Dananjaya, Md Wira Putra; Dayanti, Made Ari Riska
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.1994

Abstract

Heart disease continues to be a major contributor to global mortality, highlighting the critical importance of early detection in enhancing patient outcomes. The increasing availability of structured clinical datasets has enabled the application of intelligent systems for risk prediction and diagnostic support. In this paper, the effectiveness of three supervised learning algo- rithms—Random Forest (RF), Support Vector Machine (SVM), and Decision Tree (DT)—is evaluated for the task of heart disease prediction. This investigation is based on the Heart Failure Prediction dataset sourced from the Kaggle platform. The training process for each model involved a 10-fold cross- validation, with its hyperparameters later being tuned using grid search optimization. Model efficacy was measured against standard classification benchmarks, including accuracy, sensitivity, specificity, and the area under the ROC curve (AUC). The Random Forest model emerged as the most effective, demon- strating superior performance with an AUC of 0.9517, sensitivity of 81.18%, and specificity of 90.44%. To facilitate clinical use, this model was subsequently integrated into a user-friendly web tool built with the R Shiny framework. The interface allows users to input patient-level clinical data and obtain real-time predictions, along with visualizations of feature importance and risk probability. This implementation bridges the gap between algorithm development and practical application, offering a user- friendly decision support tool for early heart disease screening. The findings affirm that machine learning models, when properly tuned and validated, can serve as effective and interpretable tools in clinical decision-making. This work contributes to the advancement of e-health and the integration of AI-driven models into medical workflows
Analisis Kapasitas Hidraulik Saluran Drainase Menggunakan Pemodelan Storm Water Management Model (SWMM): Studi Kasus di Kecamatan Banguntapan Arifin, Muhamad; Permatasari, Cahyaning Kilang
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2091

Abstract

Inundation is a major problem that frequently occurs in both residential areas and other urban zones, particularly in large cities. Flooding in residential areas is often caused by the failure of drainage channels to convey excess water. This condition commonly occurs when high rainfall intensity is not supported by adequate drainage capacity or when drainage channels are obstructed by solid waste. This study employs a mixed-methods approach, combining quantitative and qualitative methods. Identification was conducted through coordination with relevant stakeholders and direct observation of existing conditions at the study location. The analysis was carried out using hydraulic modeling of drainage channels with the SWMM 5.2 software. The results of the hydraulic modeling indicate that, in several locations, the drainage channel capacity is no longer sufficient and therefore requires capacity enlargement. Meanwhile, in locations where the channel capacity remains adequate, significant amounts of waste and sedimentation were found, causing blockages and reducing the effective capacity of the existing drainage system. To ensure the sustainability of the drainage system in Kapanewon Banguntapan, routine and periodic operation and maintenance activities are required, including rehabilitation of drainage channels that are already in deteriorated condition.
Studi Perbandingan Perilaku Balok Beton Tulangan Baja Konvensional dan Balok Beton Tulangan Glass Fiber Reinforced Polymer Ramadhani, Kharisma Dwi; Sabrina, Annisa Rahma; Bachtiar, M. Vicky Restu; Setiawan, Aviv; Pangestuti, Endah Kanti; Anggraini, Nurti Kusuma
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2107

Abstract

Reinforced concrete commonly uses conventional steel reinforcement due to its good tensile strength and ductility. However, steel reinforcement is susceptible to corrosion and has a relatively high self-weight. Glass Fiber Reinforced Polymer (GFRP) has emerged as an alternative reinforcement material with high tensile strength, low weight, and excellent corrosion resistance. This study aims to compare the flexural behavior of reinforced concrete beams using GFRP reinforcement and conventional steel reinforcement in terms of maximum flexural capacity, load–deflection behavior, and crack patterns. The research was conducted experimentally through laboratory testing using the two-point loading method. The test specimens were concrete beams measuring 150 × 150 × 600 mm, reinforced with either steel or GFRP bars with diameters of 6 mm and 8 mm. The results indicate that GFRP-reinforced beams exhibit higher maximum flexural capacity than steel-reinforced beams, with increases of 44.53% for 6 mm diameter bars and 15.65% for 8 mm diameter bars. In addition, GFRP-reinforced beams show greater deflection, indicating higher flexibility compared to steel-reinforced beams. Crack pattern observations reveal that GFRP-reinforced beams develop more numerous and widely distributed cracks and tend to experience shear failure, whereas steel-reinforced beams display more controlled flexural cracking. These findings suggest that GFRP reinforcement has significant potential as an alternative to conventional steel reinforcement, particularly for structures requiring high corrosion resistance and a high strength-to-weight ratio, while careful consideration of shear failure is necessary in design
Interaksi Air Tanah dan Air Permukaan Sungai Asem Ruas Antara Bendung Boreng sampai Area Industri Kabupaten Lumajang Widiyanti, Anisa Tri; Siswoyo, Hari; Prasetyorini, Linda
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2111

Abstract

The interaction between groundwater and river water is an important hydrological process that affects the quantity and quality of water resources. The purpose of this study was to identify and analyze the interaction between groundwater and surface water in the Asem River in the section between Boreng weir and the Industrial Area of Lumajang Regency. The study was conducted during the dry season, namely from May to October 2025. Sampling was carried out at 5 river cross-sections, each consisting of groundwater on the left side of the river flow, surface water (river), and groundwater on the right side of the river. The physical-chemical parameters observed included pH, temperature, TDS, and EC. The measurement data were analyzed using a statistical approach that included time series analysis, correlation analysis, principal component analysis, and cluster analysis. Based on the results of the time series analysis, it can be stated that there are similarities in the fluctuation patterns of physical-chemical parameters, especially temperature and pH, between groundwater and river water. Based on the results of the correlation analysis, it can be stated that the level of relationship is moderate to strong between groundwater and river water. Based on the results of the principal component analysis, it can be stated that the TDS and EC parameters play a dominant role in differentiating water characteristics. Based on the results of the cluster analysis, it can be stated that the interaction between groundwater and river water is not uniform along the river flow, with strong interactions identified in Cross Section-4 and Cross Section-5. In general, it can be concluded that at the research location there is an interaction between groundwater and river water which is influenced by local hydrological conditions
Pemanfaatan Teknologi Web dalam Pengembangan Sistem Informasi Sekolah untuk Meningkatkan Layanan Publik di SD Negeri 1 Demung Besuki, Situbondo Muafi, Muafi; Fahmi, Muh. Ilham; Prasetyo, Narendra Yogi; Aldianto, Dwi Candra
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.1939

Abstract

Digital transformation in the basic education sector has become an urgent necessity in the era of information technology. SD Negeri 1 Demung Besuki, Situbondo, as an educational institution, has not yet implemented an integrated information system to manage public services such as academic information, the school profile, and communication with parents. The school still relies on manual methods that may lead to inefficiency and delays in delivering information. This study aims to design and implement a web-based school information system to improve the quality of public services through technology integration. This research adopted the waterfall method, consisting of the following stages: requirements analysis (field observations and interviews with stakeholders, including the principal, teachers, and parents), system design (relational database design, process flow design, and user interface design), system implementation, and testing and evaluation. Functional testing was conducted using black-box testing, while usability was evaluated using the System Usability Scale (SUS) questionnaire. The developed system provides core school information services, including dynamic content management (school profile, news, and gallery), a real-time announcement module, and an admin dashboard for updating information, with a responsive interface compatible with mobile devices. The evaluation results indicate a 72% improvement in information delivery efficiency, calculated by comparing the average efficiency indicator scores (e.g., speed of accessing information, timeliness of receiving announcements, and reduced need for manual confirmations) before and after the system implementation, based on questionnaire data from participants consisting of teachers/parents. Therefore, the web-based school information system contributes significantly to faster and more efficient public service delivery compared to conventional methods
Sistem Informasi Dana Penunjang Pendidikan dan Kegiatan (DPPK) Berbasis Web di MA Nurul Jadid Bambang, Bambang; Nisyak, Helyatin; Fithriyah, Nadzirotul
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.1961

Abstract

MA Nurul Jadid is one of the upper secondary education institutions under the auspices of Nurul Jadid Islamic Boarding School, Probolinggo Regency. The school offers three majors (Science, Social Studies, and Language) as well as three programs (excellent, regular, and religious) to accommodate students’ interests and needs. The management of the Educational and Activity Support Fund (DPPK) is still carried out manually using cash books and Microsoft Excel, which causes several issues such as recording errors, delayed reporting, and difficulties in real-time financial monitoring. This study aims to design and develop a web-based information system to improve administrative efficiency, data accuracy, and transparency in DPPK management. The research applies a mixed-methods approach, consisting of qualitative methods (interviews and observations) to identify user needs and challenges, and quantitative methods to measure system effectiveness through indicators such as recording accuracy and simplified reporting processes. The system was developed using the Laravel framework version 11 and MySQL database. The results show that the system is capable of automating the recording, monitoring, and reporting processes in a more structured and real-time manner. External testing of 10 respondents resulted in a 90% satisfaction rate. regarding ease of use and clarity of functions, indicating good user acceptance. In conclusion, the implementation of this system significantly improves DPPK financial management by reducing administrative errors and accelerating information access. Future developments may include integrating mobile platforms and technologies such as Node.js to enhance accessibility and flexibility.
Prototipe Alat Deteksi Banjir Berbasis ESP32, TinyML, dan Notifikasi Telegram Fauzi, Laily Rahmad; Suharjo, Imam
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2115

Abstract

Floods are among the most frequent hydrometeorological disasters in Indonesia and cause significant impacts on public safety, economic activities, and community infrastructure. To support improved preparedness, a water level monitoring system that operates in real time, provides accurate measurements, and is easy to implement in the field is required. This study aims to develop a prototype of an Internet of Things (IoT)-based water level monitoring and classification system using an ESP32 microcontroller, an HC-SR04 ultrasonic sensor, and a Tiny Machine Learning (TinyML) model that performs on-device inference. Water condition determination is based on predefined criteria and water level thresholds established during the analysis stage, which are subsequently used for data labeling and TinyML model development. The system is equipped with LED indicators (green, yellow, red), a 0.96-inch I2C OLED display for local monitoring, and an automatic notification mechanism via the Telegram application as a remote early warning system. The research adopts a Research and Development (R&D) approach using the ADDIE model, which includes needs analysis, system design, hardware and software development, prototype implementation, and system performance evaluation. Experimental results show that the system is able to measure water levels stably with a maximum error of 0.2 cm. A Mean Absolute Error (MAE) of 0.025 cm was obtained from eight experimental trials within a test range of 0–22.5 cm. The system successfully classified water conditions into “Safe,” “Alert,” and “Flood” categories using the TinyML model, achieving 100% agreement with test scenarios across ten test conditions. Furthermore, the Telegram notification mechanism operated as designed, with warning messages sent during all tested warning status transitions (five out of five scenarios) and not sent under stabel safe conditions. These findings indicate that the integration of IoT and TinyML has strong potential to support responsive and efficient flood monitoring and early warning systems, suitabel for small- to medium-scale prototype deployment in residential areas prone to inundation with measurable water level variations.
Evaluasi Aplikasi Pembayaran di Madrasah Tsanawiyah (MTs) Berbasis Website Fadjeri, Akhmad; Hidayat, Taufik; Wahyuningsih, Endang; Isro, Mokhamad; Nurchayati, Anisa Dwi
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2146

Abstract

This research was conducted at MTs Ma'arif NU 01 Susukan from November to December 2024 with the aim of evaluating the development of a website-based Syahriyah Madrasah Application. The type of research used was Research and Development (R&D) with the ADDIE development model. The focus of paper publication was on the evaluation stage. Research data was obtained through interviews with competent media experts in their fields, then analyzed using a Likert scale (Aurora & Effendi, 2019). The validity test of the development results refers to the criteria set by Hidayat et al. (2024) a percentage of 75.01%–100% is categorized as very valid, 50.01%–75% is quite valid, 25.01%–50% is invalid, and 0%–25% is very invalid. The results of the research evaluation showed that the developed application obtained an average SUS score of 63.25, which is in the fairly valid category. These findings indicate that the application is suitable for use in supporting the management of Syahriyah payments in madrasas, although further development is needed to improve quality, convenience, and user satisfaction. Evaluation of the results of the website-based Syahriyah Madrasah application can be an effective solution for increasing transparency and accuracy in school financial management.
Efektivitas Latihan Berbasis Sensor IMU dengan Umpan Balik Real-Time terhadap Peningkatan Akurasi, Kecepatan, dan Konsistensi Shooting Sepak Bola pada Mahasiswa PJOK Irawan, Yogi Ferdy
Jurnal Kridatama Sains dan Teknologi Vol 7 No 01 (2025): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v7i01.2193

Abstract

Shooting ability is a fundamental skill in soccer that determines goal-scoring productivity. However, conventional training methods still rely on subjective feedback from coaches without measurable objective data. This study aims to analyze the effectiveness of Inertial Measurement Unit (IMU) sensor-based training with real-time feedback on improving accuracy, velocity, and consistency of soccer shooting among Physical Education, Sport and Health (PJOK) students. The research method used a pretest-posttest control group experimental design involving 48 PJOK students randomly divided into experimental group (n=24) and control group (n=24). The experimental group performed shooting training with IMU sensors attached to their feet providing visual feedback through a smartphone application, while the control group performed conventional shooting training without technology. The training program was conducted for 8 weeks with a frequency of 3 times per week. Measurement instruments included the Loughborough Soccer Shooting Test for accuracy, Stalker ATS II radar gun for ball velocity, observation rubric for biomechanical technique, and coefficient of variation for consistency. Data analysis used Analysis of Covariance (ANCOVA) with significance level α=0.05. The results showed that the experimental group experienced significant improvements in shooting accuracy (19.7% vs 8.3%, p<0.001, η²=0.412), ball velocity (11.2% vs 4.8%, p<0.001, η²=0.385), biomechanical technique quality (23.1% vs 9.4%, p<0.001, η²=0.441), and performance consistency with CV reduction from 14.2% to 8.7% (p<0.001). The conclusion of this study is that IMU sensor-based training with real-time feedback is proven effective in improving all aspects of soccer shooting ability among PJOK students with large effect size category, thus can be recommended as an innovative training method in sports education
Uji Aktivitas Antibakteri Ekstrak Etanol 96% Daun Angsana (Pterocarpus Indicus) Dengan Konsentrasi 5% dan 10% terhadap Bakteri Shigella Dysenteriae Pratiwi, Wulan; Riani, Putri Nur; Putri, Melly Annisa; Malik, Nazwa Vidya
Jurnal Kridatama Sains dan Teknologi Vol 8 No 01 (2026): Jurnal Kridatama Sains dan Teknologi (In Progress)
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v8i01.2175

Abstract

Diarrhea is an abnormal condition of fecal excretion commonly caused by bacterial, viral, or parasitic infections, as well as poor sanitation and hygiene. One of the main pathogenic bacteria responsible for diarrhea, particularly bacillary dysentery, is Shigella dysenteriae. The high incidence of diarrhea has encouraged the search for alternative treatments derived from natural materials, including angsana leaves (Pterocarpus indicus), which are known to contain bioactive compounds. This study aimed to determine the antibacterial activity of ethanolic extract of angsana leaves against the growth of Shigella dysenteriae at concentrations of 5% and 10%. The research employed a Completely Randomized Design (CRD) with a post-test only control group design. The samples consisted of six treatment groups with four replications each. Angsana leaf extract was obtained through an extraction process using 96% ethanol and subsequently tested for antibacterial activity using the disc diffusion method. All treatments were incubated for 24 hours to observe the formation of inhibition zones. The results showed that no inhibition zones were formed in the negative control group or in the groups treated with angsana leaf extract at concentrations of 5% and 10%, indicating the absence of antibacterial activity against Shigella dysenteriae. Normality testing revealed that the data were not normally distributed. Based on these findings, it can be concluded that the ethanolic extract of angsana leaves (Pterocarpus indicus) at concentrations of 5% and 10% is not effective as an antibacterial agent against Shigella dysenteriae. Further studies using higher extract concentrations or different extraction methods are recommended to obtain more optimal results.

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