UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
Not a member yet
1440 research outputs found
Sort by
Comparison of KNN and Random Forest Algorithms on E-Commerce Service Chatbot
No full textTechnology has a profound influence on our lives, with the expansion of e-commerce being a significant outcome that warrants attention. Given the prevalence of smartphones equipped with messaging apps and fast networks, people often utilize these platforms to communicate with sellers, offering a convenient way for sellers to engage efficiently with a diverse customer base. Recognizing this trend, there is a need for digital transformation of services to improve operational efficiency. Thus, this study aimed to compare the efficiency of classification algorithms in e-commerce service chatbots. The researcher employed machine learning techniques, specifically KNN and Random Forest algorithms, in this case. To assess the feasibility of the application, the chatbot results will be tested using the confusion matrix method to determine accuracy. From this study, it was found that the KNN method, combined with calculating word weight using TF-IDF, produces an accuracy value of 71.4%, thus confirming its feasibility
Perbandingan Load Balancing Router Mysql Dan HAProxy Menggunakan SysBench dan Cluster Innodb Pada Sistem Operasi Centos: Comparison Of Load Balancing Mysql Router And HAProxy Using SysBench In Innodb Cluster On Centos OS
No full textLoad balancing merupakan penyeimbang server dalam mendistribusikan beban kerja ke beberapa server dengan mempertimbangkan kapasitas masing-masing server. Ketika beberapa server digunakan, layanan yang ada dapat tetap berfungsi meskipun salah satu server mengalami kegagalan. Dua model load balancing yang akan digunakan adalah MySQL Router dan HAProxy. Penelitian ini bertujuan untuk membandingkan kinerja MySQL Router dan HAProxy dari segi waktu respons, throughput, dan distribusi beban server. Selain itu, penelitian ini juga menguji sinkronisasi data antar server database dengan menggunakan Sysbench sebagai alat pengujian. Sysbench merupakan utilitas benchmark yang dapat mengevaluasi kinerja sistem melalui berbagai parameter pengujian. Hasil penelitian menunjukkan bahwa MySQL Router memiliki kemampuan load balancing yang signifikan dalam mendistribusikan beban dan memastikan ketersediaan server dibandingkan dengan HAProxy. Pengujian dengan thread (beban) terkecil hingga terbesar pada load balancer MySQL Router menghasilkan rentang TPS (Transaction Per Second) 2900 hingga 2600; seiring bertambahnya thread (beban), TPS yang diperoleh semakin menurun, dengan rentang waktu respons 2 hingga 50 ms. Namun, HAProxy menunjukkan nilai TPS yang lebih kecil, berkisar antara sekitar 900 hingga 800 TPS, tetapi menghasilkan waktu respons yang relatif lama, berkisar antara 8 hingga 160 ms. Pengujian sinkronisasi database menunjukkan efisiensi kedua model dalam menangani perubahan data pada server yang berbeda. Penelitian ini memberikan kontribusi yang signifikan terhadap pengembangan infrastruktur TI yang lebih andal dan efisien dalam organisasi, khususnya dalam konteks penggunaan MySQL InnoDB Cluster dan HAProxy pada OS CentOS.
Kata kunci: Load Balancing, MySQL Router, HaProxy, InnoDB Cluster, Centos Os, Networking
----------------------------
Abstract
Load balancing is a server balancer that distributes the workload among several servers, taking into account the capacity of each server. When multiple servers are used, existing services can continue to function even if one server fails. The two load balancing models to be used are MySQL Router and HAProxy. This study aims to compare the performance of MySQL Router and HAProxy in terms of response time, throughput, and server load distribution. Additionally, this study also tests data synchronization between database servers using Sysbench as a testing tool. Sysbench is a benchmark utility that can evaluate system performance through various test parameters. The results of the study show that MySQL Router has significant load balancing capabilities in distributing loads and ensuring server availability compared to HAProxy. Testing with the smallest to the largest threads on the MySQL Router load balancer resulted in a TPS range from 2900 to 2600; as the thread (load) increases, the TPS obtained decreases, with a response time range of 2 to 50 ms. However, HAProxy showed a smaller TPS value, ranging from around 900 to 800 TPS, but resulted in a relatively long response time, ranging from 8 to 160 ms. Database synchronization tests also reveal the efficiency of both models in handling data changes on different servers. This research makes a significant contribution to the development of more reliable and efficient IT infrastructure within organizations, particularly in the context of using MySQL InnoDB Cluster and HAProxy on CentOS OS.
Keywords: Load Balancing, MySQL Router, HaProxy, InnoDB Cluster, Centos Os, Networking.
Utilization of Air Humidity and Surface Air Temperature Data in Regression Equations for Rainfall Forecast Simulation in the Gamping Area, Sleman, Yogyakarta (Yogyakarta Class 1 Geophysical Station): Pemanfaatan Data Kelembapan Udara Dan Suhu Udara Permukaan Dalam Persamaan Regresi Untuk Simulasi Prakiraan Curah Hujan Di Daerah Gamping Sleman Yogyakarta (Stasiun Geofisika Kelas 1 Yogyakarta)
No full textRainfall prediction simulations for January 2010 using predictors of air humidity (RH) and air temperature (T) have been carried out at Yogyakarta Geophysics Station. Rainfall prediction in January 2010 using average weather parameter data and real time data in the Gamping Sleman Yogyakarta area has been carried out using two regression methods, namely simple linear regression equation method and multiple linear regression. The evaluation is done by comparing and calculating the amount of deviation from the prediction of total monthly rainfall to the observation of total monthly rainfall. The results of data processing carried out to predict rainfall in January 2010 show. In the study area, rainfall was very strong with RMSE = 0.68 mm using predictors of air temperature and humidity at the same time
Pengembangan Pembangkit Biogas dalam Kajian Sains Islam untuk Keberlanjutan Pelestarian Lingkungan
No full textBiogas is a renewable energy derived from the degradation of organic materials, such as agricultural waste, livestock waste, and others. Several Qur\u27anic verses in Islam explicitly support the wise and effective utilization of natural resources; this includes the concept of sustainability and sustainable management of resources. “Eat [therefrom] and pasture your livestock. Indeed, in that are signs for those of intelligence.” is an example of biogas management\u27 relationship with the Qur\u27an (QS. Thaha: 54). Biogas made from livestock manure is an example of wise resource utilization and is in line with Islamic teachings about not wasting natural potential. Using biogas as a renewable energy source reflects the concept of sustainability (istidamiyyah), which is highly encouraged in Islam. The use of biogas reduces the use of fossil fuels, reuses organic waste that normally pollutes the environment, and reduces greenhouse gas emissions. Biogas generation is closely related to Islamic teachings on environmental conservation, effective resource management, and the role of humans as khalifah on earth. By utilizing renewable energy such as biogas, Muslims can apply the teachings of the Qur\u27an to protect the Earth, prevent damage, and maintain the balance of the ecosystem
Klasifikasi Penyakit pada Tanaman Berdasarkan Citra Daun Menggunakan Metode Convolutional Neural Network
No full textThe agricultural sector is a vital part of the economy, providing food, raw materials, and employment opportunities. In Indonesia, this sector faces significant challenges, such as low interest from younger generations and plant disease issues. Plant disease identification typically requires the expertise of experienced professionals, but this process is time-consuming and costly. This research aims to develop a plant disease classification model using a Convolutional Neural Network (CNN) to assist farmers in identifying diseases in rice, corn, tomato, and potato plants based on leaf images. Testing was conducted with data splitting ratios of 70:30, 80:20, and 90:10, using both single-stage and multi-stage classification methods. The best results were achieved with an 80:20 data ratio using single-stage classification, with an average accuracy of 80%, precision of 80%, recall of 81%, and F1-score of 79%. This study demonstrates that the CNN method is effective in plant disease classification, achieving optimal performance at a 80:20 data ratio and in single-stage classification. It is hoped that this research can help farmers quickly and accurately identify and manage plant diseases, as well as encourage innovation in the agricultural sector. The implementation of CNN in plant disease classification shows great potential in enhancing the efficiency and accuracy of disease detection, ultimately supporting the sustainability and development of the agricultural sector
Arsitektur Microservice untuk Optimalisasi Aplikasi Eco-Maps dalam Mendukung Kampus Ramah Lingkungan
No full textThe implementation of environmentally friendly campus concepts has become increasingly crucial in addressing global environmental challenges. Eco-Maps is an application designed to visualize and manage sustainability efforts on campus, including energy management, waste management, and sustainable transportation initiatives. To enhance efficiency and flexibility, this study discusses the application of a microservice architecture in Eco-Maps. This architecture supports faster and more efficient development, testing, and deployment, while enabling horizontal scalability to manage high complexity and large data volumes. By separating application functions into independent services, microservices facilitate maintenance and updates while minimizing the impact of failures in individual services. This study also reviews the integration of containerization technologies, such as Docker and Kubernetes, to support microservice implementation. Through these technologies, the application can be deployed quickly and consistently across various environments, from development to production. System testing was conducted using load testing and stress testing methods, as shown in Tables 3 and 4. The results demonstrate that the average response time across ten iterations was 745.9 ms, with an average CPU usage of 44.38%. These findings confirm that processing load directly affects CPU efficiency and overall system performance
Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study
No full textAn optimized scheduling system is essential for poultry farming to balance fluctuating market prices with fluctuating feed prices. In poultry farms, input costs account for over 90% of total expenses, with 66% allocated to feed and 25% to day-old chick purchases. This article presents an optimization model for chicken harvesting, using broiler chicken farming as a case study. A broiler chicken farm in Central Java is currently operating below optimal profitability because of a lack of a systematic harvest scheduling strategy. The Integer Linear Programming model was developed to obtain an optimal harvest schedule to maximize income with respect to operational constraints. The optimization indicates that the proposed schedule increases farm profit by 12.41% per production cycle, leading to an estimated additional yearly revenue of IDR 40,062,029. Furthermore, the sensitivity analysis indicates that market price and feed cost are the most significant factors that influence profitability, with market price fluctuations impacting profit by up to 100.17% and feeding cost changes affecting profitability by 66.10%. Minimizing the price of 5% feed can lead to an increase of 66% in profit and vice versa. This paper presents a framework of structured decision-making for poultry farms to obtain the highest possible profit and minimize loss occurrence by utilizing an optimal harvesting schedule
ISLAMIC RELIGIOUS EDUCATION LEARNING DESIGN: INTERCONNECTIVE INTEGRATION OF ISLAM AND SCIENCE IN DEVELOPING GRADUATE COMPETENCIES
No full text. This research aims to develop an Islamic Religious Education (PAI) learning design based on the integration of interconnections between Islam and science in order to increase graduate competency. The focus of this research includes four main aspects: (a) strengthening religious competence, (b) developing scientific competence, (c) integration of knowledge and ethics, and (d) global readiness. The method used is Systematic Literature Review (SLR), by reviewing various relevant research from the last ten years related to integrative learning in Islamic education. The research results show that strengthening religious competence can form a strong spiritual character, while developing scientific competence strengthens critical and rational thinking skills. The integration of knowledge and ethics emphasizes the importance of the link between academic and moral knowledge, which produces graduates who are knowledgeable but still ethical. In addition, global readiness through mastering collaboration, communication and innovation skills based on Islamic values is important to face the challenges of globalization. In conclusion, PAI learning designs that integrate Islam and science are effective in producing graduates who are religious, scientifically intelligent, moral, and ready to compete at the global level. 
Strategi Politik Kiai Terhadap Elektabilitas Calon Presiden dan Calon Wakil Presiden Pada Konstelasi Pemilihan Umum Tahun 2024
No full textPenelitian ini membahas tentang strategi politik Kiai yang mempunyai pengaruh besar terhadap peningkatan elektabilitas yang dimiliki oleh calon Presiden dan calon Wakil Presiden pada konstelasi pemilihan umum tahun 2024. Ciri khas Kiai sebagai tokoh agama yang memiliki kewibawaan dan kehormatanan yang senantiasa disegani dan dipatuhi oleh masyarakat menjadi salah satu alasan terjunnya Kiai dalam ranah politik. Penelitian yang dilakukan ini akan menjelaskan tentang 3 hal, yakni peranan Kiai dalam politik, dualisme nasionalis dan agamisme, serta strategi politik Kiai dalam meningkatkan elektabilitas calon yang didukungnya. Penelitian ini menggunakan metode penelitian kualitatif yang merujuk pada studi pendekatan fenomenologi. Sumber data dalam penelitian ini menggunakan studi literature atau kepustakaan yang mengacu pada kasus penelitian sebelumnya, jurnal-jurnal internasional maupun nasional, buku-buku yang berkaitan, dan sumber internet terpercaya. Selanjutnya, data yang sudah terkumpul akan melalui tahap reduksi data, analisis data, penyajian data, dan menarik kesimpulan serta saran dari hasil penelitian yang dilakukan. Hasil dari penelitian ini menunjukan bahwa peranan strategi politik Kiai sangat mempengaruhi masyarakat luas dalam pemilihan umum tahun 2024. Dalam menentukan pilihan calon Presiden dan calon Wakil Presiden banyak masyarakat yang mengacu pada calon yang didukung oleh Kiai. Fenomena ini menunjukan bahwa strategi politik yang dilakukan oleh Kiai sangatlah mempengaruhi pilihan masyarakat dan mampu mendongkrak elektabilitas dari calon yang dipilih oleh Kiai tersebut
BLUE SUKUK, PARADIGMA FIQH LINGKUNGAN DAN MASA DEPAN EKOSISTEM LAUT INDONESIA
No full textAbstrak. Indonesia telah menyatakan komitmen sebagai salah satu negara di garda terdepan dunia dalam perlindungan laut pada One Ocean Summit yang berlangsung di Prancis, 9-11 Februari 2022. Beberapa diantaranya adalah komitmen mencapai target kawasan konservasi perairan laut seluas 32,5 juta hektare pada 2030, komitmen mengurangi sampah plastik laut pada 2025 juga menargetkan rehabilitasi mangrove seluas 600 ribu hektare hingga 2024 bahkan memandang bahwa pengelolaan lingkungan laut perlu ditempatkan dalam dimensi pembangunan berkelanjutan. Dari berbagai upaya yang dilakukan pemerintah, sukuk sebagai salah satu instrumen keuangan syariah dapat menjadi inovasi pembiayaan dan mampu mendukung pelestarian ekosistem laut. Tujuan penelitian ini adalah menganalisis potensi blue sukuk, apa relevansi blue sukuk dengan fiqh lingkungan dan bagaimana blue sukuk menjamin masa depan ekosistem laut Indonesia. Penelitian ini menggunakan pendekatan studi literatur yang menggabungkan data dari DJJPR Kementerian Keuangan tentang perkembangan sukuk di Indonesia, kepustakaan fiqh lingkungan dan berbagai studi terkait ekosistem laut Indonesia. Hasil menunjukkan bahwa potensi blue sukuk, yang diawali dengan munculnya konsep blue economy dapat mengatasi problematika yang mengancam ekosistem laut bahkan mengancam kesejahteraan masyarakat pesisir. Apabila ditinjau dari paradigma fiqh lingkungan, blue sukuk mampu mengimplementasikan kaidah-kaidah fiqh dalam upaya pelestarian ekosistem laut untuk kemashlahatan generasi mendatang.
Kata kunci: Blue Sukuk, Fiqh Lingkungan, SDGs
Abstract. Indonesia has declared its commitment as one of the world\u27s frontline countries in marine protection at the One Ocean Summit which took place in France, 9-11 February 2022. Some of them are the commitment to achieve the target of 32.5 million hectares of marine protected areas by 2030, the commitment to reduce marine plastic waste by 2025, and the target of rehabilitating 600 thousand hectares of mangroves by 2024, even considering that marine environmental management needs to be placed in the dimension of sustainable development. From the various efforts made by the government, sukuk as one of the Islamic financial instruments can be a financing innovation and can support the preservation of marine ecosystems. The purpose of this research is to analyse the potential of blue sukuk, the relevance of blue sukuk to environmental fiqh and how blue sukuk guarantees the future of Indonesia\u27s marine ecosystem. This research uses a literature study approach that combines data from the DJJPR of the Ministry of Finance on the development of sukuk in Indonesia, environmental fiqh literature and various studies related to Indonesia\u27s marine ecosystem. The results show that the potential of blue sukuk, which begins with the emergence of the concept of blue economy, can overcome problems that threaten marine ecosystems and even threaten the welfare of coastal communities. From the paradigm of environmental fiqh, blue sukuk is able to implement the rules of fiqh in efforts to preserve marine ecosystems for the benefit of future generations.
Keywords: Blue Sukuk, Environmental Fiqh, SDG