Abstract:Abstract : Corona virus is a very dangerous virus and can kill human life. This virus causes minor illnesses and serious illnesses such as colds or colds, since the emergence of the Corona Virus or Covid 19 paralyzing all…
l human activities carried out outside the home. The problem of this research is in the form of the impact of the corona virus on the economy, especially in the city of Batam so that the residents of Batam can overcome this corona virus outbreak to improve the weakening economy. The main objective of this research is to examine the impact of Covid 19 on the economy of the Batam population so that the Batam population can improve the already weakened economy. This study uses Fuzzy Inference Sistym the Mamdani Method for Decision Making, using Operators or through the process of Fuzification of Input Variables, Inference Machines to process rules and produce Defuzification to get the final value
Keywords: corona prediction fuzzy inference system; mamdani method
Abstrak:Virus Corona merupakan sebuah virus yang sangat berbahaya dan bisa menghilangkan nyawa manusia. Virus ini mengakibatkan penyakit ringan dan penyakit berat seperti common cold atau pilek, Sejak munculnya Virus Corona atau Covid 19 melumpuhkan semua kegiatan aktivitas manusia yang dilakukan diluar rumah. Permasalahan Penelitian ini berupa dampak akibat virus corona terhadap perekonomian khususnya pada Kota Batam sehingga penduduk Batam bisa mengatasi Wabah Virus corona ini untuk meningkatkan perekonomian yang semakin melemah. Tujuan Utama Penelitian ini mengkaji Dampak akibat Covid 19 terhadap perekonomian penduduk batam sehingga penduduk Batam bisa meningkatkan perekonomian yang sudah melemah. Penelitian ini menggunakan Fuzzy Inference Sistem Metode Mamdani untuk Pengambilan sistem Keputusan, menggunakan Operator Or dan melalui proses Fuzifikasi penentuan Variabel Input, Mesin Inferensi untuk melakukan proses aturan dan menghasilkan Defuzifikasi untuk mendapatkan nilai akhir.
Kata Kunci : fuzzy inference sistem; metode mamdani; prediksi corona
Abstract:Abstract: Photo Copy Machine is a machine which used for duplicating data on paper for many purpose. So this Machine is very important for many people. Cause of it. This machine can be damage quickly. And photo copy’ s…
™ s machine is not a simple machine, becase all spare part in this machine is connecting one another. This condition can be worst because the comparison between machine and technicians not balance and this condition make user need more time to fix that machine. Expert System is Computer Based system which adopting the expert skill to solve the problem base on the expert. This system is very suitable to solve the problem because with expert system, the user can know the machine damage and know how to fix this machine. And this sistem can be useful for user.with forward Chaining method. And the purpose from this research to make an expert system to analize the problem which can be realize from the machine’s operational dan fix it.
Keyword: Expert System; Damage analysis; Forward Chaining; Photocopy Machine
Abstrak:Mesin fotokopi merupakan mesin yang digunakan untuk menggandakan dokumen dalam bentuk kertas yang akan digunakan untuk berbagai keperluan, tingginya kebutuhan akan mesin fotokopi ini membuat pengoperasionalan mesin sangat tinggi dalam waktu yang lama. Keadaan ini membuat kondisi mesin menjadi turun dan mudah mengalami kerusakan. Mesin fotokopi merupakan salah satu mesin yang kompleks yang saling berhubungan satu sama lain, sehingga perlu penanganan ahli dalam memperbaikinya. Keterbatasan jumlah teknisi membuat mesin yang rusak lama untuk diperbaiki, sehingga diperlukan sebuah sistem yang dapat menggantikan posisi pakar dalam memperbaiki mesin fotokopi. Sistem pakar merupakan sistem yang berbasis komputer yang mengadopsi cara kerja pakar dalam menganalisa suatu masalah dengan metode yang telah disesuaikan dengan masalah yang ada, berdasarkan masalah yang telah dijabarkan diatas. Tujuan dari penelitian ini adalah bagaimana menciptakan sebuah aplikasi sistem pakar dengan metode forward chaining untuk menganalisa kerusakan mesin dan memberikan solusi untuk memperbaiki mesin fotokopi tersebut.
Kata Kunci: Analisa Kerusakan; Forward Chaining; Fotokopi; Sistem Pakar.
Abstract:Abstract: The human eye can distinguish objects from digital images, however, computers do not have the ability as human eyes that can directly distinguish objects from digital images. Therefore the bag of visual words method…
ethod was created. Bag of visual words is a method for presenting digital images based on local features. Bag of visual words illustrates how an image can be taken its characteristics, so that computers can distinguish objects on digital images. The test results show that the bag of visual words are still not maximal in classifying digital image categories, especially the chair category, which is only able to produce the most accurate accuracy of 75%. To improve the performance quality of bag of visual words in classifying digital image categories, especially the chair category, you can add an approach to determine the good number of K in clustering the visual words pattern.
Keywords: Bag Of Visual Words, Classification, Digital Image, Speed-Up Robust Feature, Support Vector Machine
Abstrak: Secara kasat mata manusia bisa membedakan objek pada citra digital, namun, komputer tidak memiliki kemampuan sebagai mata manusia yang dapat secara langsung membedakan objek pada citra digital. Maka dari itu diciptakanlah metode bag of visual words. Bag of visual words adalah metode untuk menyajikan citra digital berdasarkan fitur lokal. Bag of visual words menggambarkan bagaimana suatu gambar dapat diambil karakteristiknya, sehingga komputer dapat membedakan objek pada citra digital. Hasil pengujian menunjukkan bag of visual words masih belum maksimal dalam mengklasifikasi kategori citra digital khususnya kategori chair, yang hanya mampu menghasilkan akurasi paling akurat sebesar 75 %. Untuk meningkatkan kualitas kinerja bag of visual words dalam mengklasifikasi kategori citra digital khususnya kategori chair, dapat menambahkan pendekatan untuk menentukan jumlah K yang baik dalam mengkluster pola visual words.
Kata kunci: Bag Of Visual Words, Klasifikasi, Citra Digital, Speed-Up Robust Feature, Support Vector Machine
Abstract:Penelitian ini bertujuan untuk menganalisis peluang, strategi, dan tantangan yang dihadapi industri perbankan syariah dalam menghadapi perkembangan kecerdasan buatan (AI). Metode yang digunakan dalam penelitian ini adalah…
h metode kualitatif deskriptif dengan pendekatan studi pustaka, yang mengkaji berbagai literatur, laporan industri, serta regulasi yang terkait dengan implementasi AI dalam perbankan syariah.Hasil penelitian menunjukkan bahwa AI memiliki potensi besar dalam meningkatkan efisiensi operasional perbankan syariah, terutama melalui otomatisasi layanan keuangan, penggunaan chatbot dalam layanan nasabah, serta analisis risiko berbasis big data yang dapat meningkatkan akurasi pengambilan keputusan. Selain itu, AI juga dapat membantu dalam penguatan kepatuhan syariah melalui analisis kontrak berbasis machine learning dan deteksi transaksi yang tidak sesuai dengan prinsip syariah. Namun, implementasi AI dalam perbankan syariah juga menghadapi berbagai tantangan, seperti kepatuhan terhadap prinsip syariah, keamanan data dan privasi, serta kesiapan teknologi dan infrastruktur. Untuk mengatasi tantangan tersebut, diperlukan strategi yang mencakup kolaborasi dengan fintech berbasis syariah, penguatan regulasi AI oleh otoritas keuangan syariah, serta investasi dalam pengembangan sumber daya manusia dan infrastruktur digital. Kesimpulannya, perbankan syariah dapat memanfaatkan AI untuk meningkatkan daya saing dan efisiensi, namun penerapannya harus dilakukan dengan tetap mempertahankan kepatuhan terhadap prinsip syariah dan memperhatikan aspek etika serta keamanan data. Dengan pendekatan yang tepat, AI dapat menjadi alat yang mendukung pertumbuhan perbankan syariah secara berkelanjutan.
Abstract:The self-registration machine helps patients register them selves. The use of APM machines at Wava Husada Hospital has not been carried out properly for several reasons, such as Man, Method and Machine. The aim of this research…
esearch is to evaluate the performance of APM users to identify the components and effects to increase the effectiveness of APM. Qualitative research methodologies were used in this study. Data was obtained from APM officers and medical records officers. The results of the research show that the presence of APM officers has helped the patient registration process, but there are several things that make the use of APM less effective at Wava Husada Hospital, namely in terms of staff, the lack of APM officers, in terms of the method of using APM is not carried out in accordance with the SOP, in terms of Machine errors or loading often occur. Consequently, there are too many patients, the registration process is thrown off, services are provided non-procedurally, and registration is completed by hand. Efforts made by officers to ensure that the use of APM runs well are adding APM officers, training APM officers on APM use, and improving internet quality so it doesn't load frequently.
Abstract:Meat is one of the essential food ingredients in meeting the nutritional needs. The current problem lies in the consumers' lack of knowledge on how to differentiate between pork, beef, goat, and lamb meat. This is because…
e when the meat is already cut, their appearances may seem similar at first glance. Many consumers are unaware of the practice of mixing different types of meat for consumption. One way to classify animal meat is by using image processing. In this research, an image processing system is created to classify meat, specifically pork, beef, goat, and lamb. Support Vector Machine (SVM) is a development of Machine Learning that can be used in classifying images into specific classes. SVM method as a classifier is performed using a confusion matrix. The test results show the highest accuracy value obtained in the class of Goat Meat 91.4%, the highest precision in the class of goat meat 80%, the highest recall in the class of beef 81.3%, and the highest F1-score in the class of beef 0.76.
Abstract:This research aims to identify flood-prone areas in West Sumatra Province using remote sensing data and Machine Learning-based Geographic Information System. By utilizing variables such as distance from the river, Normalized…
ized Difference Water Index (NDWI), elevation, Topographic Position Index (TPI), Normalized Difference Vegetation Index (NDVI), and Rainfall Data, this research was conducted on the Google Earth Engine platform. This analysis method supports resource optimization, public education, increased environmental safety, and the development of new technologies and research. The results of the research are expected to assist in mitigation and adaptation to future flood disasters, as well as provide more accurate and comprehensive insights for local governments, disaster management agencies, and communities. With this approach, it is expected to reduce flood risk and increase community resilience to natural disasters.
Abstract:Demam Berdarah Dengue (DBD) merupakan salah satu penyakit menular yang masih menjadi permasalahan kesehatan masyarakat di Indonesia dan berbagai negara tropis. Penyakit ini disebabkan oleh virus dengue yang ditularkan melalui…
lalui gigitan nyamuk Aedes aegypti. Tingginya jumlah kasus serta potensi terjadinya kejadian luar biasa (KLB) menunjukkan bahwa diperlukan metode analisis yang mampu mengidentifikasi pola risiko penyebaran penyakit secara sistematis dan akurat. Seiring berkembangnya teknologi informasi, pendekatan berbasis Machine Learning mulai dimanfaatkan dalam bidang kesehatan, khususnya dalam analisis data epidemiologi. Machine Learning memungkinkan sistem komputer untuk mempelajari pola dari data historis dan menghasilkan prediksi yang dapat digunakan sebagai dasar pengambilan keputusan. Salah satu algoritma yang sering digunakan adalah Naive Bayes yang bekerja berdasarkan teori probabilitas Bayes dengan asumsi bahwa setiap variabel bersifat independen. Dalam penelitian ini digunakan algoritma Naive Bayes untuk menganalisis risiko penyebaran penyakit Demam Berdarah berdasarkan beberapa faktor yang mempengaruhi, seperti kondisi lingkungan, kepadatan penduduk, serta data historis kasus penyakit. Metode ini diharapkan mampu menghasilkan model klasifikasi yang dapat membantu dalam proses pengambilan keputusan terkait pencegahan dan pengendalian penyakit DBD.
Abstract:This study discusses a peanut shelling machine driven by a gasoline-engineered motor . In Indonesia, many processed peanut products require peanuts as a component, such as salted peanuts, peanut oil, peanut paste, peanut…
tofu, and others. Manual peanut shelling is usually inefficient and time-consuming. Therefore, with this machine, which can automatically peel peanuts, it will greatly help save time and increase production capacity. Based on planning calculations for the planned components, the following data was obtained: Gasoline engine used = 5.5 Hp , Pad = 6005 , Belt length to peeler = 65 inches , Belt length to blower = 25 inches , Diameter pulley blower = 4 inches , Pulley diameter peeler = 11 inches , Diameter pulley driver = 2 inches . After analyzing the production/manufacturing costs of this machine, the price for manufacturing 1 peanut peeling machine was Rp4,019,372.24 .
Abstract:The coconut fiber shredding machine is a tool in the production sector that plays an important role in the process of chopping coconut fiber into coconut fiber, so that it can be used as several useful products. The objectives…
ctives to be achieved in designing this coconut fiber shredding machine are: Knowing the manufacture of a coconut fiber shredding machine with a capacity of 70 kg / hour. Can design and calculate the components of a cocopeat machine that can chop coconut fiber quickly and with greater capacity. Knowing the power of the driving motor used. For the development of knowledge and applying it in the form of design and research. The design of a coconut fiber shredding machine with a capacity of 70 kg/hour, the following conclusions were obtained: Shaft diameter 25 mm, Pin size l = 7 mm, t = mm, p = 20 mm, Bearing number 6005, Motor pulley 50.8 mm (2 inches), Shredder knife shaft pulley 254 mm (10 inches), Belt length 1473 mm (58 inches) type A, Gasoline motor type with 5.5 Hp power, 3600 rpm rotation.