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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 261 Documents
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Potensi Pemanfaatan Limbah Plastik HDPE Sebagai Bahan Aditif untuk Meningkatkan Kinerja Perkerasan AC-BC Karyawan, I Dewa Made Alit; Widianty, Desi; Febriana, Arlin
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.v7i01.1660

Abstract

Flexible pavement construction widely employs asphalt as the primary binding material due to its ability to coat aggregates and form a strong, cohesive structure. However, the growing demand for asphalt and rising prices driven by global oil market fluctuations pose significant challenges to its availability. Therefore, alternative solutions are needed to reduce reliance on pure asphalt while enhancing the performance of asphalt mixtures. One promising alternative is the utilization of waste plastic in the form of High Density Polyethylene (HDPE), which has been shown to improve mixture stability, resistance to permanent deformation (rutting), and durability against moisture damage, while also contributing to sustainable waste management. This study aims to evaluate the effect of HDPE addition on the characteristics of Asphalt Concrete - Binder Course (AC-BC) mixtures. Based on the volumetric and mechanical analysis of the AC-BC mixture, adding HDPE increases stability and density with a decrease in VMA and VIM and an increase in VFA. Stability increases significantly up to 12%, but flow exceeds the specification limit at a content of ≥8%, and the Marshall Quotient decreases, indicating a decrease in stiffness. According to the Bina Marga specification (2018), the maximum HDPE content meets the requirements is 4%. A multi-criteria approach is needed to determine the best HDPE content that balances strength, flexibility, and long-term deformation resistance
Optimasi Jalur Terpendek Menggunakan Algoritma Dijkstra dan Greedy pada Sistem Informasi Geografis Taneo, Rizaldy E; Ndun, Riandri; Diana Y.A.; Do'o, Faldi
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.v7i01.1664

Abstract

The shortest path search is a primary challenge in the development of Geographic Information Systems (GIS), especially for navigation, logistics, and regional planning applications. This study discusses the optimization of the shortest path by comparing two popular algorithms, Dijkstra and Greedy Best-First Search (Greedy BFS), on a weighted graph representing a road network. The research was conducted experimentally by constructing a fictitious graph consisting of 10 nodes and 15 edges, where each edge has a weight representing the distance between locations. Both algorithms were implemented using the Python programming language and the networkx library. Experimental results show that the Dijkstra algorithm consistently produces the optimal shortest path with the minimum total distance, although it requires longer execution time. In contrast, the Greedy BFS algorithm can find solutions more quickly, but the resulting path is not always optimal, depending on the quality of the heuristic used. In the case study, Dijkstra produced a path with a total distance of 14 km, while Greedy BFS produced a path of 17 km with shorter execution time. The visualization of results clarifies the decision differences at branching nodes between the two algorithms. This study concludes that the choice of algorithm in GIS should be adjusted to the application's needs; Dijkstra is recommended for applications requiring high accuracy, while Greedy BFS is more suitable for applications needing fast response. The results of this research are expected to serve as a reference in the development of GIS based on shortest path optimization
Sistem Kontrol PID pada Shaking table Berdasarkan Percepatan Gempa Bumi Berbasis LABVIEW Hariyanto, Hariyanto; Mustaghfir, Adil; Santoso, Fatih Rizqi
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.v7i01.1665

Abstract

Earthquakes are natural disasters that can cause significant damage to buildings, necessitating an analysis of structural dynamic responses to seismic loads using a shaking table controlled by a Proportional-Integral-Derivative (PID) system based on LabVIEW. The system is designed to accurately reproduce ground motion using digital earthquake acceleration data and was tested through simulation and direct implementation with a 12 kg load. The PID tuning process employed a trial-and-error method, yielding optimal parameters of Kc = 4.5, Ti = 0.0001, and Td = 0.002. Test results demonstrated that the PID controller outperformed the Proportional (P) controller, achieving a significantly lower steady-state (0.000058 vs. 0.012745) and smaller overshoot while closely tracking the earthquake input signal. Through the integration of hardware and LabVIEW software, the system exhibited strong potential for laboratory-scale earthquake simulation and serves as a valuable tool for education and research in civil engineering and control systems
Analisis Algoritma Klasifikasi dalam Pembelajaran Sistem Informasi Geografis di Pendidikan Informatika Paju, Benediktus Kurniawan; Fallo, Diana Yanni Ariswati; Mowata, Sergius Erdin
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.v7i01.1676

Abstract

The rapid development of information technology has encouraged the use of spatial data in various fields, including in education. This study aims to analyze the application of classification algorithms in the learning of geographic information systems (GIS) at Citra Bangsa University. The main focus lies in how students understand and implement algorithms such as K-Nearest Neighbor (K-NN), Decision Tree, and Naive Bayes in the context of spatial data. The approach used is descriptive qualitative with data collection techniques through an open questionnaire to 26 students of Citra Bangsa University, who followed project-based GIS learning. The results of the study show that the use of classification algorithms can improve students' understanding of basic GIS concepts, especially in spatial data processing and visualization. And also the results obtained from 26 students with different percentage points for the questionnaire given. Nonetheless, some obstacles were found such as technical difficulties in the data classification process and low initial understanding of algorithm concepts. This study provides an overview of the importance of integrating the concept of algorithms and GIS in the learning process to improve students' competencies in the field of spatial technology
Analisis Pemahaman Mahasiswa Informatika dalam Menyelesaikan Rute Terpendek Menggunakan Algoritma Dijkstra dengan Graf Berbobot Jaiman, Fridolin; Fallo, Diana Yanni Ariswati; Banung, Floriana Letni
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.v7i01.1678

Abstract

The Dijkstra algorithm is one of the shortest path search methods that is widely applied in various fields of computer science, such as digital navigation systems, logistics planning, and computer network optimization. In the context of informatics education, these algorithms are taught to reinforce programming logic and understanding of the structure of weighted graphs. However, the implementation of learning in higher education still faces various challenges, especially the understanding of informatic education students in solving the shortest path problems using the Dijkstra algorithm, as well as developing a learning approach based on case studies ans simulation. The method used is aused is a deskriptive qualitative approcah with data collection techniques in the form of learning obsevations, analysis of student assignment documents, and open questionnaires. The results showed that most students understood the process of initialization and tracing the minimum weight, but encountered difficulties in selecting the next node and tracking the shortest path. Case studies of weighted graphs and manual visualizations have been shown to help students understand and help students understand algorithmic processes more thoroughly. These findings show that real-life case-based learning models and manual simulations are able to improve students’ analytical skills and understanding of the working mechanisms of the Dijkstra algorithm.
Tinjauan Literatur tentang Pemanfaatan Algoritma Greedy untuk Pencarian Jalur Terpendek Dima, Javiardi; Hamzah, Moh. Syukron; Tallo, Clerinzia Gladista; Fallo, Diana Yanni Ariswati
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.v7i01.1683

Abstract

The shortest path problem is a classical issue encountered in various applications such as geographic information systems (GIS), logistics management, transportation planning, and disaster evacuation routing. The Greedy Algorithm offers a simple solution approach that focuses on selecting the best local solution at each decision step, assuming that such local decisions will lead to a globally efficient solution. This research is a systematic literature review discussing the working principles, advantages, limitations, and real-world implementations of the Greedy Algorithm in solving shortest path problems. Based on the reviewed literature, the Greedy Algorithm performs efficiently for problems with low to medium complexity. However, its main limitation lies in its inability to guarantee globally optimal solutions in complex graphs with multiple alternative routes. Several empirical studies have demonstrated that the Greedy Algorithm is effectively utilized in tourist route mapping, parcel delivery systems, urban logistics management, adaptive traffic signal control, and disaster evacuation route planning. Therefore, the Greedy Algorithm remains a practical approach, particularly in systems that require fast computation with limited decision space.
Analisis Bibliometrik Perkembangan Aplikasi DNA Barcode pada Tanaman Buah di Indonesia Sumarlina, Sumarlina; Napitupulu, Tia Sofiani
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.v7i01.1699

Abstract

Biodiversity studies using molecular approaches have been widely conducted, one of which is with the application of DNA barcodes. As a megabiodiversity country, Indonesia has many plant commodities that continue to be developed, including fruit plants. This study aims to analyze the development of DNA barcode applications in fruit plants in Indonesia using a literature study method with a bibliometric and substantial analysis approach. The study was conducted through three main stages, namely searching for published literature in the period 2000 - 2025 with the Publish or Perish application, bibliometric analysis with VOSviewer, and substantial analysis. The results of the study show that research related to DNA barcode applications in fruit plants in Indonesia has increased in number and diversity of topics. There are 4 keyword clusters formed in the visualization results, which show a shift in keywords from a focus on identifying morphological characters to molecular-based identification through DNA analysis. This is related to the development of technology and molecular analysis methods which are also developing rapidly. The DNA barcode loci studied can come from nuclear DNA or chloroplast DNA in various plant families, with the most studied taxa levels being at the genus and species levels. In addition, in silico approaches that utilize secondary DNA barcode data have also been widely studied in Indonesia in recent years
Systematic Literature Review: Peranan Fly ash, Silika, dan Slag Sebagai Bahan Tambahan dalam Meningkatkan Kekuatan Tekan Dini Beton Bara, Alvin Alfredo
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.v7i01.1729

Abstract

This study aims to systematically evaluate the role of mineral admixtures—Fly ash, silica (silica fume and nano-silica), and Slag (GGBFS)—in enhancing the early compressive strength of concrete within 1 to 7 days of curing. To achieve this objective, a Systematic Literature Review (SLR) was conducted by analyzing seven selected international research articles published between 2023 and 2025. The review focused on admixture types, mix proportions, particle sizes, types of activators, curing methods, and early-age compressive strength results. The findings reveal that while Fly ash is an environmentally friendly pozzolanic material, it exhibits low early reactivity and requires activation or combination with more reactive components to be effective. Silica fume, particularly in ultra-fine form, significantly accelerates hydration and enhances C-S-H gel formation, improving the early microstructure of concrete. Slag contributes synergistically by forming C-A-S-H gel, and the best early-strength results are obtained when it is combined with Fly ash and silica. The optimal blend of these three materials can achieve compressive strength above 20 MPa in 1 day and over 40 MPa in 7 days without thermal curing. The study concludes that structured use of mineral admixtures can accelerate concrete hardening, improve construction efficiency, and support sustainable building practices. Further research is recommended at industrial scale, including exploration of locally sourced alternatives and development of data-driven predictive models
Smart Temperature and Humidity Monitoring pada Data center Dinas Komunikasi dan Informatika Daerah Istimewa Yogyakarta berbasis Raspberry Pi 5 dan Notifikasi Discord Widiyatmoko, Ari; Suharjo, Imam
Jurnal Kridatama Sains dan Teknologi Vol 7 No 02 (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.v7i02.1742

Abstract

A data center is a vital component of Information and Communication Technology (ICT) infrastructure that requires continuous physical environmental monitoring, particularly for temperature and humidity. These parameters significantly affect the stability and longevity of server equipment. Therefore, a monitoring system with high accuracy, reliability, and rapid response capability is essential. This study aims to design and develop an integrated temperature and humidity monitoring system using a Raspberry Pi 5 as the control unit, employing a DHT22 sensor to measure environmental conditions. The collected data is stored in a MariaDB database, visualized through a Grafana dashboard, and complemented with automated notification delivery via the Discord platform. The implementation and testing were conducted at the Data center managed by the Department of Communication and Informatics of the Special Region of Yogyakarta. The system supports real-time monitoring, alerts when environmental parameters exceed defined safety thresholds, and automated daily reports sent to a designated Discord channel. The research follows an engineering-based system development method, comprising stages of literature study, needs analysis, system design, implementation, testing, and evaluation. The testing results indicate that the system performs accurate sensor readings (within a tolerance range of ±0.4°C for temperature and ±1.4% for humidity) and successfully stores data periodically in the database. It also reliably sends automatic alerts to Discord when temperature or humidity levels exceed the specified thresholds (18–27°C and 30–60% RH) and delivers visual dashboard reports twice daily on a schedule. This monitoring system is expected to support the operational team of the Data center in managing environmental security more effectively and responsively
Pengaruh Kombinasi Pupuk Makro Majemuk Cair dengan Pupuk NPK Terhadap Pertumbuhan dan Hasil Tanaman Jagung (Zea Mays L) Solihin, Eso; Sudirja, Rija; Sari, Stefina Liana
Jurnal Kridatama Sains dan Teknologi Vol 7 No 02 (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.v7i02.1767

Abstract

Fertilization is a key factor in enhancing crop productivity, primarily through the provision of essential nutrients. The application of compound fertilizers containing macronutrients, either as an alternative or a complement to single-nutrient fertilizers, is expected to improve fertilization efficiency and support sustainable crop yields. This study aimed to evaluate the effect of combining macronutrient NPK compound fertilizer with single-nutrient fertilizers—nitrogen (N), phosphorus (P), and potassium (K)—on plant growth and yield, as well as to determine the optimal dosage. The experiment was conducted from December 2024 to April 2025 using a randomized complete block design (RCBD) with nine treatments and three replications. The treatments included: a control (no fertilizer), single NPK fertilizers (300 kg/ha Urea, 150 kg/ha SP-36, 100 kg/ha KCl), combinations of NPK with compound fertilizer at different dosages (½, 1, and 1½), and compound fertilizer alone (4 L/ha). The results revealed that the combination of N, P, and K with compound fertilizer significantly enhanced plant growth and yield. Among all treatments, treatment E (NPK + 1½ doses of compound fertilizer) resulted in the highest maize yield

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