UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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    1440 research outputs found

    Sensors and Transducers for Stroke Detection Systematic Literature Review

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    Along with changes in lifestyle, stroke is not only a disease that attacks the elderly population, but also often attacks people of productive age. Actions are proposed to the public to control risk factors, such as changing lifestyle behavior or taking medication, and variations in stroke risk are tracked by evaluating stroke risk annually. The symptom of stroke that is currently widely known by the public is paralysis, even though many stroke symptoms often appear without realizing it. So it is necessary to detect stroke using sensors and transducers to detect it. The aim of this research is to examine sensors and transducers for stroke detection. This research uses a systematic literature review using Preferred Reporting Items for Systematic Reviews (PRISMA). The results of article screening and selection found 84 potential articles that met the inclusion criteria. The research results show that the development of sensors and transducers for stroke detection is currently starting to develop through artificial intelligence based on the internet of thought which uses sensors and transducers within it. Judging from the production of tools that use sensors and transducers for stroke detection. Optimization of sensors and transducers for stroke detection must be carried out with appropriate use, detailed regulatory supervision, and continuous innovation of sensors and transducers for stroke detection which is useful in reducing the number of strokes in the worl

    A Building Material Inventory Planning Using Always Better Control (ABC) and Economic Order Quantity (EOQ)

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    Langgeng Jaya is a retail business engaged in the sale of construction materials and building tools. TB. Langgeng Jaya has erratic demand historical data. So the problem arises how much inventory is needed. Building materials in TB. Langgeng Jaya is obtained from quite a lot of distributors or suppliers with different lead times for each company. Inefficient management results in problems in product inventory such as out of stock and excess stock of building materials being sold. To overcome this problem, the method used in this research is Always Better Control (ABC) and Economic Order Quantity (EOQ) analysis. The ABC method is used to classify a large number of product types into three groups, namely group A, group B, and group C. In this approach it results that those included in group A are 30 types of products with a monetary value percentage of 77.46%. group B there are 31 types of products with a monetary value of 12.57%, while for group C there are 89 types of products with a monetary value of 9.97%. Group A has a higher cumulative price percentage value than groups B and C which will later become the focus for further processing using the EOQ method. By using the EOQ (Economic Order Quantity) multi-item multi-supplier and single item single-supplier policies, this can reduce the costs incurred from ordering goods from suppliers. The results of the EOQ (Economic Order Quantity) method approach, namely the difference in costs incurred by the average company, are Rp. 1,192,537

    PEMODELAN MATEMATIKA UNTUK MENGUKUR TINGKAT KEIMANAN SESEORANG DALAM MENGHADAPI WABAH COVID-19 SEBAGAI BENTUK ANCAMAN KEAMANAN NEGARA

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    Indonesia perlu terus meningkatkan kemampuannya agar dapat mempertahankan diri dari ancaman nonmiliter. Pandemi Covid-19 di Indonesia telah mengancam kelangsungan hidup bangsa. Pandemi Covid-19 telah menyebabkan tertundanya kegiatan keagamaan dan layanan tatap muka di seluruh dunia, tetapi hanya beberapa orang yang mengatakan keyakinan agama mereka telah melemah akibat wabah tersebut. Oleh karenanya, dalam ajaran agama Islam, penyebaran Virus Corona dapat diambil pembelajaran dan hikmahnya. Keimanan merupakan kondisi batin atau keadaan kejiwaan seseorang yang melibatkan fungsi pikiran, perasaan, dan kehendak secara bersama-sama. Keimanan atau iman yakni sebagai kondisi dan perbuatan hati yang mencakup tashdiq al-qalb dan amal al-qalb. Tashdiq al-qalb (keyakinan) adalah kondisi dan perbuatan hati dalam membenarkan dan meyakini doktrin-doktrin ajaran agama islam yang pokok-pokoknya mencakup 6 hal, yakni: keyakinan tentang Allah, keyakinan tentang malaikat, keyakinan tentang Kitab Suci, keyakinan tentang Rasul, keyakinan tentang Hari Akhir, dan keyakinan tentang Qadha dan Qadar. Tingkat keimanan seseorang dipengaruhi karena adanya beberapa faktor, seperti faktor keyakinan, faktor sikap & perasaan, dan faktor kemaksiatan, beberapa hal tersebut dapat dimodelkan dengan matematika. Iman dapat bertambah dengan ketaatan dan dapat berkurang dikarenakan dipengaruhi oleh kemaksiatan. Keimanan memiliki satu ciri yang sangat khas, yaitu dinamis. Mayoritas ulama memandang keimanan beriringan dengan amal soleh, sehinga mereka menganggap keimanan akan bertambah dengan bertambahnya amal soleh. Model matematika untuk megukur keimanan seorang muslim adalah sebagai berikut   

    Kajian Produk Makanan Berkode E-Numbers Menurut Perspektif Sains dan Islam

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    Abstrak. Indonesia merupakan negara yang memiliki penduduk beragama muslim terbesar di dunia. Indonesia menjadi salah satu negara yang terdampak COVID-19 paling parah. COVID-19 merupakan varian virus berbahaya yang dapat menular melalui sekresi yang dikeluarkan dari mulut atau hidung. Hal ini membuat masyarakat merasa waswas dalam memilih makanan dan beralih pada makanan berkemasan atau pabrikan untuk menghindari penyebaran virus melalui makanan yang terkontaminasi. Memiliki penduduk muslim terbanyak membuat sektor pangan menjadi permasalahan yang paling disorot. Pentingnya makanan halal menjadi prioritas utama di kalangan masyarakat dan industri makanan. Banyak industri makanan yang telah menggunakan konsep halal sebagai syarat wajib dalam memproduksi produk konsumsi. Akan tetapi, masih banyak masyarakat yang kurang mengenal apa itu kode E-Numbers, sehingga membuat masyarakat awam salah paham mengenai maksud dari kode tersebut. Masyarakat menganggap bahwa produk makanan yang memiliki kode E-Numbers mengandung bahan nonhalal, salah satunya yaitu mengandung babi. Terdapat beberapa golongan BTP yang menggunakan kode E-Numbers berbahan baku organik (hewani/nabati), tentu saja penggunaan bahan baku hewani perlu peninjauan lebih lanjut menurut perspektif Islam. Oleh karena itu, penelitian ini dilakukan untuk meninjau secara saintifik dan fikih mengenai produk makanan yang menggunakan kode E-Numbers. Penelitian ini merupakan penelitian studi pustaka yang menggunakan metode tinjauan sistematis dalam menganalisis informasi dari beberapa literatur untuk menemukan jawaban mengenai permasalahan. Hasil penelitian ini menunjukkan bahwa produk makanan yang menggunakan kode E-Numbers tidak selalu diartikan sebagai produk yang mengandung bahan nonhalal. Badan POM telah menjelaskan bahwa E-Numbers merupakan kode yang digunakan untuk memudahkan identifikasi BTP yang telah terbukti aman dan secara resmi disetujui untuk digunakan pada produk pangan olahan sesuai dengan standar yang berlaku di Uni Eropa. Menurut perspektif Islam, suatu produk yang menggunakan BTP dengan kode E-Numbers status kehalalannya tergantung dari asal bahan baku yang dipakai.   Kata kunci: Halal, E-Numbers, fikih, saintifik   Abstract. Indonesia is a country that has the largest muslim population in the world. Indonesia is one of the countries most severely affected by COVID-19. COVID-19 is a dangerous virus variant that can be transmitted through secretions released from the mouth or nose. This makes people feel wary in choosing food and switching to packaged food to avoid the spread of the virus through contaminated food. Having the largest muslim population makes the food sector the most highlighted problem. The importance of halal food is a top priority among the community and the food industry. Many food industries have used the halal concept as a mandatory requirement in producing consumer products. However, there are still many people were not understanding and misunderstood about E-Numbers code. People assumes that food products that have the E-Numbers code contain non-halal ingredients, one of which is pork. There are several groups of food additives that contain the E-Numbers code made from organic raw materials (animal/vegetable), that needs further review from an Islamic perspective. Therefore, this study was conducted to review scientifically and jurisprudence on food products that contain the E-Numbers code. This research is a literature study that uses a systematic review method in analyzing information from several literatures to solve the problem. The results of this study indicate that food products that contain the E-Numbers code does not always interpreted as products containing non-halal ingredients. The POM Agency has explained that E-Numbers are codes used to facilitate identification of food additives that have been proven safe and officially approved for use in processed food products in accordance with standards applicable in the European Union. According to the Islamic perspective, a product that uses food additives with an E-Numbers code, its halal status depends on the origin of the raw materials used.   Keynote: Halal, E-Numbers, fikih, scientifi

    MENELISIK PERILAKU KONSUMEN PEMUDA DALAM INDUSTRI HALAL: APAKAH MEREKA MEMILIH BERBEDA?

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    Abstrak. Geliat Industri halal di pasar global telah membawa layanan dan produk halal mendapat tempat di tengah masyarakat termasuk kalangan pemuda. Dilansir dari  State of the Global Islamic Economy 2022 Report memperlihatkan  konsumen Muslim mendorong nilai konsumsi secara kohesif  senila US2 Triliun di berbagai produk, layanan dan gaya hidup. Demografi Muslim menjadi salah satu penggerak ekonomi terkuat, pertumbuhannya mencapai 1,9 miliar atau 25 persen dari populasi global pada tahun 2020  dengan proporsi pemuda sebesar  27,3 persen pada tahun 2020 dan meningkat menjadi 30 persen pada tahun 2030. Hal tersebut juga didukung oleh hasil  riset dari  Pew Research Center bahwa 70-90 persen Muslim dikawasan Asia-Pacific dan MENA menempatkan agama sebagai sesuatu yang sangat penting termasuk dalam aktivitas ekonomi . Penelitian ini bertujuan  untuk mengkaji perilaku pemuda sebagai konsumen jasa dan produk  halal dengan melihat kesadaran merek, logo, kualitas produk, kesadaran beragama dan teknologi  mempengaruhi perilaku pembelian. Sejalan dengan hal tersebut,  Penelitian ini menggunakan pendekatan kuantitatif berbasis data primer yang diperoleh dari survei 99  responden, data dianalisis  menggunakan structural equation model. Hasilnya,  ternyata kesadaran merek,  kualitas konten, dan  religiusitas memberikan dampak terhadap perilaku dan produk halal pemuda Muslim. Demikian, para pemuda Muslim memiliki kecenderungan untuk mengambil peran aktif dalam mendorong perkembangan industri halal di Indonesia ditambah kehadiran interaksi dengan media sosial . Kata kunci: Industri halal, religiusitas, Pemuda Muslim, kualitas konten kesadaran merek.   Abstract. The stretching of the halal industry in the global market has brought halal services and products to a place in the community, including the youth. Report from the State of the Global Islamic Economy 2022 Report Muslim consumers driving a cohesive consumption value of US2 Trillion across a wide range of products, services and lifestyles. The Muslim demographic is one of the strongest economic drivers, growing to 1.9 billion or 25 percent of the global population in 2020 with the proportion of youth at 27.3 percent in 2020 and increasing to 30 percent in 2030. This is also supported by the results of research from the Pew Research Center that 70-90 percent of Muslims in the Asia-Pacific and MENA region place religion as something very important, including in economic activity. This study aims to examine the behavior of youth as consumers of halal services and products by looking at brand awareness, logos, product quality, religious awareness, and technology influencing purchasing behavior. In line with this, this study uses a quantitative approach based on primary data obtained from a survey of 99 respondents, the data is analyzed using a structural equation model. As a result, it turns out that brand awareness, content quality, and religiosity have an impact on Muslim youth\u27s behavior and halal products. Thus, Muslim youths have a tendency to take an active role in encouraging the development of the halal industry in Indonesia plus the experience of interacting with social media. Keywords: Halal industry, religiosity, Muslim youth, brand awareness content quality     &nbsp

    Perbandingan Waktu Respon Aplikasi Database NoSQL Elasticsearch dan MongoDB pada Pengujian Operasi CRUD

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    Currently, humans live in an era of data oceans, where the amount of data production is increasing from time to time, which is followed by severe challenges in terms of processing, storing, and analyzing data, especially big data. The increase in the number of large data production can affect the speed of access to the database, effectiveness, and speed of response time in the data processing. Relational databases have been the leading model for data storage, analysis, processing, and retrieval for more than forty years. However, due to the increasing need for large-scale data storage, the scalability and performance of a data processing system, as well as the constant growth of the amount of data, another alternative to databases emerged, namely NoSQL technology. Based on previous studies regarding the comparison of response time and database performance, the average concludes that NoSQL performance is more effective and efficient than relational databases. Based on the implementation and testing, it can be concluded that the NoSQL database application MongoDB is proven to be superior in every command of CRUD tested compared to the Elasticsearch NoSQL database application, where in testing the create data command with a JSON file, the MongoDB database application is 42.5 times faster than the Elasticsearch database application. In testing the command to create data into a database containing different amounts of data, the MongoDB database application is 333.9 times faster than the average response time of the Elasticsearch database application. In testing the read command for data in a database containing different amounts of data, the MongoDB database application is 35.5 times faster than the Elasticsearch database application. In testing the update operation of data in a database containing different amounts of data, the MongoDB database application is 9.8 times faster than the Elasticsearch database application. in testing the delete operation of data in a database containing different amounts of data, the MongoDB database application is 58.9 times faster than the Elasticsearch database application

    Pengembangan Aplikasi Audit Satuan Pengawasan Internal UIN Sunan Kalijaga Yogyakarta

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    In carrying out internal supervision duties, SPI UIN Sunan Kalijaga Yogyakarta innovates by carrying out digital document-based supervision using the Google Drive service. SPI auditors often felt problems in using Google Drive, namely having to check the completeness of financial accountability documents manually one by one by opening a file on Google Drive. One of the goals of developing this application is to facilitate SPI auditors in checking the completeness of financial accountability report documents. The problems can be solved by creating an audit application. The audit application has been developed using the FAST method. Central admin, SPI admin, operator, superior operator, auditor, team leader, technical controller, and Head of SPI are user access rights in this application. The developed application has met the minimum requirements of SPI UIN Sunan Kalijaga Yogyakarta. Other universities can adopt this application

    Analisis Unjuk Kerja TCP Sack Menggunakan Antrian Random Early Detection

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    As time goes by, the current technology is also developing very rapidly, the rapid development of technology, especially on the internet network is also developing so that it is expected to continue to provide the best quality to meet the growing and fast information needs. An internet network is highly demanded of its best quality, one of which is in the spotlight to be developed, namely TCP Transmission Control Protocol. The efficiency and smoothness of the data transmission process is the most important thing in a communication network. TCP is one aspect that supports today’s fast internet, with TCP we can exchange information accurately, quickly, and well. In this study, researchers are interested in analyzing the performance of TCP Sack using the Random Early Detection queue. By doing this research is expected to know the performance of TCP Sack by looking at the parameter values of packet delivery ratio, throughput, end to end delay, and packet drop. Based on the results of the analysis, it can be concluded that end-to-end delay parameter testing on the TCP Sack still has poor performance, while for testing the packet delivery ratio, throughput, and packet drop TCP Sack already has good performance

    Algoritma K-Nearest Neighbor untuk Memprediksi Prestasi Mahasiswa Berdasarkan Latar Belakang Pendidikan dan Ekonomi

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    Student academic performance is one measure of success in higher education. Prediction of student academic performance is important because it can help in decision-making. K-Nearest Neighbor (K-NN) algorithm is a method that can be used to predict it. Normalization is needed to scale the attribute value, so the data are in a smaller range than the actual data. Feature selection is used to eliminate irrelevant features. Data cleaning from outliers in the dataset aims to delete data that can affect the classification process. In the classification process, the dataset is divided into a training set by 80% and a validation set by 20% using the cross-validation method. The classification model that is formed is tested using data that is separate from the training data and is evaluated using a confusion matrix. As an evaluation, the K-NN model has 95.85% average accuracy, 95.97% average precision, and 95.84% average recall

    Sistem Pendukung Keputusan Kesesuaian Lahan Tanaman Padi Menggunakan Metode AHP dan SAW

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    Rice is one of the staple foods for most of the world\u27s population. However, in planting rice, there are several things that must be considered, namely the aspect of land suitability. Errors in land determination can cause crop failure which results in reduced rice production. This system was built based on the website using the Analytical Hierarchy Process (AHP) method to calculate the weight of the criteria and the Simple Additive Weighting (SAW) method to determine the selection of land suitability for rice plants. In determining the suitability of paddy fields using 5 criteria, namely soil type, soil pH, rainfall, temperature, and irrigation waters. The purpose of this research is to assist farmers/farmer groups in selecting land. The results of this study indicate that the AHP and SAW methods have been successfully applied in the system with the results of land recommendations in the Sungai Kunjang sub-district with a preference value of 0,989

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