UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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The Evaluation of the Performance of Automatic Temperature Control Technology in a Closed House Broiler Chicken Production System: Evaluation of the Performance of Automatic Temperature Control Technology in a Closed House Broiler Chicken Production System
No full textAbstract
This study evaluates the performance of automatic temperature control technologies in a closed-house system for broiler chicken production. Four key technologies were assessed: CTI 80, CTI Alpha, Punos, and Temptron, based on three main parameters: chicken mortality rate, growth (average final body weight), and production efficiency (Feed Conversion Ratio/FCR). Data were collected through direct observation, daily records, and final measurements on farms with a minimum population of 80,000 chickens per house. The statistical analysis revealed that CTI Alpha demonstrated the best performance with the lowest mortality rate (255 chickens) and high stability in temperature control. CTI 80 ranked second with performance close to CTI Alpha, followed by Punos. In contrast, Temptron exhibited the lowest performance with the highest mortality rate (595 chickens) and high data variability. The One-Way ANOVA test showed significant differences among the tested technologies (p < 0.05), while the Post Hoc Games-Howell analysis confirmed that CTI Alpha, CTI 80, and Punos performed significantly better than Temptron. This study recommends that farmers adopt CTI Alpha or CTI 80 technologies to optimize broiler chicken production. These technologies not only enhance productivity by reducing mortality rates but also support industry sustainability through resource efficiency and adaptability to climate change. This study provides valuable insights for farmers in selecting appropriate technologies tailored to their specific needs and contributes to the broader understanding of effective temperature control systems in broiler chicken farming.
 
Analysis of the Application of Artificial Intelligence (AI) in Halal Product Supply Chain Management: A Systematic Literature Review
No full textThe development of globalization has made digital technology play an important role in increasing the efficiency of supply chain management to ensure that its products are truly halal at the point of purchase for consumers. The technology that plays an active role in supply chain management is artificial intelligence (AI). This study aims to determine the effectiveness of implementing AI in halal product supply chain management. The object of this study is a scientific article that implements AI technology in halal product supply chain management with a qualitative approach through the Systematic Literature Review (SLR) method. Literature studies were conducted using Google Scholar and Science Direct to obtain detailed and up-to-date information on the topics to be studied. This study found 12 AI models that can be used in supply chain management. However, its implementation in the field of halal supply chains has not been widely implemented. This study also found that the implementation of AI in the halal product supply chain can improve operational efficiency and improve supply chain performance. However, successful adoption depends on technological readiness, good collaboration between technology and human expertise, and consumer trust. Investing in AI-based systems can significantly improve supply chain integrity and consumer trust
BRAIN TO BRAIN COMMUNICATION DALAM PERSPEKTIF ISLAM DAN SAINS: TINJAUAN ETIKA SOSIAL
No full textManusia masih mengalami keterbatasan dalam berkomunikasi yang ditandai dengan kebutuhan media huruf dan suara sehingga memunculkan kebingungan dan kebiasaan informasi. Keterbatasan ini membutuhkan pengembangan teknologi yang mampu menangkap dan mentransmisikan informasi secara langsung dari otak satu ke otak lainnya. Awalnya pengembangan Brain-to-Brain Communication dilakukan untuk memfasilitasi komunikasi otak dengan komputer sehingga dapat dimanfaatkan untuk rehabilitasi saraf dan alat bantu manusia yang dapat dikendalikan melalui otak. Seiring berkembangnya waktu, teknologi ini merambah ke berbagai bidang seperti sebagai pengganti fungsi saraf yang hilang akibat kecelakaan (replace), memulihkan fungsi saraf yang mulai menghilang (restore), memperbaiki fungsi saraf (improve), meningkatkan fungsi saraf (enhance), dan menjadi alat penelitian yang berhubungan dengan fungsi otak. Pengembangan teknologi Brain-to-Brain Communication mulai mencoba untuk mengendalikan manusia, yang mana sebelumnya dikendalikan secara penuh oleh alam, Tuhan, takdir maupun kebetulan. Dalam perkembangan teknologi ini harus disertai dengan pertimbangan berbagai aspek, salah satunya dalam aspek Islam. Pengembangan teknologi ini dalam Islam dikhawatirkan mampu mendesain ulang manusia yang berpotensi mencederai hakikat Tuhan sebagai pencipta. Selain itu, pengembangan teknologi ini dikhawatirkan mampu melatarbelakangi lahirnya agama baru dengan daya tarik luas sehingga mampu mewujudkan keseragaman di dunia. Namun, apabila kebutuhan akan Brain-to-Brain Communication lebih besar dibandingkan dengan mudharat yang dihasilkan, maka Islam akan mengesampingkan larangan tersebut dengan tetap didampingi oleh kode komunitarian dalam Islam. Namun, tetap harus memperhatikan prinsip lainnya, yaitu kemajuan teknologi ini tidak boleh menimbulkan bahaya atau efek samping
PENGEMBANGAN SAINS BERORIENTASI MAQASHID SYARIAH
No full textAfter the idea of unifying science and religion developed until the formation of scientific paradigms like today, discussions about which paradigm is more important than the other are no longer interesting. Rather, the discussion must be directed towards how to give birth to a new science that is integrated with religion as an inseparable part of the scientific building. Along with this development, the development of maqashid sharia-oriented science becomes important to study because it is a real form of the unity of science and religion. If science is oriented towards maqashid sharia which is the protection of religion, soul, mind, lineage and property, of course it will have benefits in accordance with the goals of Islam. For this reason, this article will discuss the development of maqashid sharia-oriented science. Through authoritative and in-depth literature review with a philosophy of science approach, it can be concluded that: first: Islamic science must be based on a correct worldview as the deepest scientific building. Second: Islamic science must be oriented towards maqashid sharia as a real form of integration of science with religion. Third: the maqashid sharia referred to includes the protection of religion, soul, mind, lineage and property. Thus, Islamic science is science that is based on Islamic wordview and oriented towards maqashid sharia
TRANSFORMASI KEUANGAN ISLAM DALAM ERA FINTECH DAN BLOCKCHAIN: TINJAUAN BIBLIOMETRIK
No full textKeuangan Islam telah mengalami transformasi signifikan seiring perkembangan teknologi, khususnya dalam bidang financial technology (fintech) dan blockchain. Penelitian ini bertujuan untuk menganalisis transformasi keuangan Islam di era teknologi keuangan (fintech) dan blockchain melalui pendekatan bibliometrik. Kajian ini mengidentifikasi tren publikasi, kolaborasi global, serta topik utama dalam perkembangan keuangan syariah yang diintegrasikan dengan teknologi modern. Berdasarkan data dari Scopus, terjadi peningkatan signifikan dalam jumlah publikasi yang membahas inovasi produk keuangan syariah yang sesuai dengan prinsip syariah, penerapan teknologi blockchain dalam kontrak pintar, dan tantangan regulasi di sektor ini. Hasil penelitian menunjukkan bahwa fintech dan blockchain memiliki potensi besar dalam meningkatkan inklusi keuangan dan efisiensi operasional di industri keuangan Islam. Namun, terdapat beberapa tantangan yang perlu diatasi, terutama terkait regulasi syariah dan kesenjangan digital di negara-negara berkembang. Penelitian ini memberikan wawasan bagi pengembangan lebih lanjut keuangan syariah di era digital
MEDIA SOSIAL SEBAGAI MEDIA DAKWAH: NARASI CERAMAH GUS BAHA DAN DERRY SULAIMAN DALAM MEMPROMOSIKAN HIDUP BERORIENTASI AKHIRAT
No full textAbstrak. Media sosial saat ini mengalami perkembangan yang sangat cepat. Setiap waktu, media sosial diakses dan menjadi aktivitas rutin masyarakat sehari-hari. Konten di media sosial, selain memberikan hiburan, juga dapat memberikan dampak buruk, di antaranya memengaruhi kehidupan menjadi lebih konsumtif dan hedonis. Banyak masalah yang dapat timbul dari hidup konsumtif, seperti pengeluaran yang lebih besar daripada pendapatan, bahkan untuk memenuhi keinginan yang tidak sesuai dengan kemampuan, sehingga banyak yang terjebak dalam pinjaman online. Tulisan ini bertujuan untuk mengeksplorasi gaya penyampaian dakwah melalui media sosial yang dilakukan oleh Gus Baha dan Derry Sulaiman. Selain itu, tulisan ini juga bertujuan untuk mengetahui relevansi konten ceramah dengan realitas masalah di masyarakat. Apakah konten ceramah tersebut dapat diterima dan efektif dalam mengurangi kecenderungan hidup mewah dan konsumtif, serta apakah konten tersebut dapat mendorong penonton untuk hidup lebih sederhana dan lebih mengutamakan kehidupan akhirat. Penelitian ini menggunakan pendekatan kualitatif karena data yang diperoleh berupa kata-kata, baik lisan maupun tulisan. Objek penelitian ini adalah ceramah Gus Baha dan Derry Sulaiman di kanal YouTube. Hasil studi menunjukkan bahwa pilihan kata pada narasi ceramah melalui media sosial yang disampaikan oleh Gus Baha dan Derry Sulaiman dapat diterima oleh masyarakat. Narasi dalam kedua ceramah tersebut juga mendorong penonton untuk hidup sederhana dan selalu mengingat kehidupan akhirat.
Kata kunci: Dakwah, media sosial, konsumtif, hidup sederhana, kehidupan akhirat.
Abstract. Social media is currently undergoing very rapid development. It is accessed constantly and has become a routine activity for people in their daily lives. While social media content provides entertainment, it can also have negative impacts, such as promoting a more consumerist and hedonistic lifestyle. Many problems can arise from a consumerist lifestyle, including spending beyond one\u27s means, often to fulfil desires that exceed personal financial capacity, which has led many to fall into the trap of online loans. This article aims to explore the style of delivering da\u27wah (Islamic preaching) through social media, as practised by Gus Baha and Derry Sulaiman. Additionally, it seeks to assess the relevance of their lecture content in addressing societal problems. The study will examine whether the content is both acceptable and effective in reducing tendencies towards luxurious and consumerist living and whether it encourages viewers to adopt a simpler lifestyle while prioritizing the afterlife. This study uses a qualitative approach, as the data collected consists of words, both spoken and written. The subjects of this research are the lectures of Gus Baha and Derry Sulaiman on their YouTube channels. The results of the study indicate that the narrative style used by Gus Baha and Derry Sulaiman in their social media lectures is well-accepted by the public. Both lectures also encourage viewers to live more simply and to always keep the afterlife in mind.
Keynote: Islamic preaching, social media, consumerist, simpler lifestyle, afterlife
Rekonstruksi Pendidikan Islam Berbasis Technoscience: Optimalisasi Kecerdasan Buatan Untuk Pembelajaran Inovatif
No full textPerkembangan teknologi, khususnya kecerdasan buatan (AI), telah membawa perubahan mendasar pada dunia pendidikan secara global, termasuk dalam pendidikan Islam. Penelitian ini berfokus pada upaya optimalisasi AI untuk membangun kembali metode pembelajaran Islam yang lebih inovatif dan adaptif guna memenuhi kebutuhan siswa abad ke-21. Penelitian ini menggunakan metode studi literatur dan analisis kualitatif melalui survei yang dilakukan terhadap guru dan siswa untuk mengeksplorasi berbagai aplikasi AI yang relevan, seperti chatbot untuk tutor virtual, sistem pembelajaran adaptif, serta analisis big data yang bertujuan untuk mempersonalisasi proses pembelajaran. Hasil penelitian menunjukkan bahwa AI memiliki potensi besar dalam meningkatkan kualitas pembelajaran Islam melalui pendekatan yang lebih personal, interaktif, dan fleksibel. Penggunaan chatbot berbasis AI mampu memfasilitasi interaksi pembelajaran yang lebih intensif, sementara sistem pembelajaran adaptif dapat menyesuaikan materi dengan tingkat pemahaman mahasiswa. Selain itu, analisis big data memberikan wawasan yang lebih dalam bagi para pendidik untuk mengenali kebutuhan belajar individu peserta didik. Meskipun demikian, penelitian ini juga menemukan sejumlah tantangan, seperti rendahnya literasi digital di kalangan guru dan siswa serta kekhawatiran terkait etika penggunaan AI dalam konteks pembelajaran agama. Dengan demikian, rekonstruksi pendidikan Islam berbasis technoscience melalui integrasi AI merupakan langkah strategis untuk menjawab tantangan pendidikan di era digital. Meskipun masih ada kendala yang harus diatasi, potensi AI dalam meningkatkan efektivitas pembelajaran Islam sangat besar. Oleh karena itu, diperlukan pengembangan kurikulum yang mengintegrasikan AI, peningkatan literasi digital bagi pendidik, serta penerapan AI yang selaras dengan nilai-nilai agama
Peramalan Nilai Saham BBCA Melalui Pendekatan Time Series Menggunakan Teknik Exponential Smoothing
No full textForecasting stock prices plays a crucial role in shaping investment strategies within the financial market. This article aims to predict the stock prices of Bank Central Asia (BBCA), a prominent entity in the Indonesian banking sector. Employing a time series methodology, this study utilizes the Exponential Smoothing technique to anticipate the fluctuations in BBCA\u27s share prices. Meanwhile, the dataset used is the BBCA share price data from April 2001 to early January 2023. The final error rate in this forecast is 10%
Revitalizing Art with Technology: A Deep Learning Approach to Virtual Restoration
No full textThis study evaluates CycleGAN’s performance in virtual painting restoration, with a focus on color restoration and detail reproduction. We compiled datasets categorized by art style and condition to achieve accurate restorations without altering the original reference materials. Various paintings, including those with a yellow filter, are used to create effective training datasets for CycleGAN. The model utilized cycle consistency loss and advanced data augmentation techniques. We assessed the results using PSNR, SSIM, and Color Inspector metrics, focusing on Claude Monet’s “Nasturtiums in a Blue Vase” and Hermann Corrodi’s “Prayers at Dawn.” The findings demonstrate superior color recovery and preservation of intricate details compared to other methods, confirmed through quantitative and qualitative evaluations. Key contributions include the application of CycleGAN for art restoration, model evaluation, and framework development. Practical implications extend to art conservation, digital library enhancement, art education, and broader access to restored works. Future research may explore dataset expansion, complex architectures, interdisciplinary collaboration, automated evaluation tools, and improved technologies for real-time restoration applications. In conclusion, CycleGAN holds promise for digital art conservation, with ongoing efforts aimed at integrating across fields for effective cultural preservation
Deteksi Serangan Pada Jaringan Internet Of Things Medis Menggunakan Machine Learning Dengan Algoritma XGBoost: Attack Detection On Internet Medical Of Things Using Machine Learning With Xgboost Algorithm
No full textInternet of Things (IoT) telah memberikan dampak besar pada sektor kesehatan, memungkinkan pengumpulan data pasien secara real-time dan meningkatkan efisiensi layanan kesehatan. Namun, adopsi perangkat IoT medis juga membawa tantangan baru terkait keamanan, terutama serangan Distributed Denial of Service (DDoS) yang dapat mengganggu layanan kritis. Penelitian ini melakukan deteksi terhadap lima jenis serangan, yaitu ARP Spoofing, Recon Attack, MQTT Attack, TCP/IP DoS, dan DDoS, menggunakan model machine learning dengan algoritma XGBoost. Dataset yang digunakan adalah CICIoMT2024, yang dirancang khusus untuk menilai keamanan perangkat medis terhubung, melibatkan 40 perangkat IoMT. XGBoost menunjukkan performa terbaik dengan akurasi, recall, presisi, dan F1-score yang unggul, mencapai akurasi 99.8%, presisi 92.4%, recall 96%, dan F1-score 93.8%. Sebelumnya, algoritma lain seperti Logistic Regression dan Naive Bayes menunjukkan akurasi masing-masing sebesar 79% dan 92% dalam mendeteksi serangan serupa, hal ini menunjukan keterbatasan dalam menangani pola yang lebih kompleks. Hasil ini menegaskan efektivitas XGBoost dalam mendeteksi ancaman keamanan dalam ekosistem IoT medis, memberikan perlindungan lebih baik terhadap potensi gangguan pada layanan kesehatan kritis.
Kata kunci: Machine Learning, Keamanan Siber, xgboost, deteksi, Internet Medical of Things
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Abstract
The Internet of Things (IoT) has significantly impacted the healthcare sector, enabling real-time patient data collection and enhancing service efficiency. However, the adoption of medical IoT devices also introduces new security challenges, particularly Distributed Denial of Service (DDoS) attacks that can disrupt critical services. This study detects five types of attacks: ARP Spoofing, Recon Attack, MQTT Attack, TCP/IP DoS, and DDoS, using machine learning models with the XGBoost algorithm. The dataset used is CICIoMT2024, specifically designed to assess the security of connected medical devices, involving 40 IoMT devices. XGBoost demonstrated the best performance with superior accuracy, recall, precision, and F1-score, achieving 99.8% accuracy, 92.4% precision, 96% recall, and 93.8% F1-score. Previously, other algorithms such as Logistic Regression and Naive Bayes showed accuracies of 79% and 92% respectively in detecting similar attacks, but with limitations in handling more complex patterns. These results underscore the effectiveness of XGBoost in detecting security threats in the medical IoT ecosystem, providing enhanced protection against potential disruptions to critical healthcare services.
Keywords: Machine Learning, Cybersecurity, xgboost, detection, Internet Medical of Thing