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: Interior design is currently growing. This can be seen from the various designs in each building. Each design has different characteristics and shapes. The problem that is often experienced by users is the lack…
of user knowledge in the field of interior design so that after the design is finished, the user is not satisfied with the results of the interior design. The main objective of this research is a decision making system in selecting interior designs according to user needs by paying attention to criteria such as design form, design size, material and quality. The method of selecting interior design using the Mamdani method. The mamdani method is very suitable in calculating the output value of each criterion value and the end result becomes the reference value in making a decision. The resulting system is in the form of design selection criteria according to user needs. Thus the results of this study get an Output value of 427,368 which is in the range with the value considered. Keywords: fuzzy inference system; interior design; mamdani method; software matlab.
Abstrak: Desain Interior saat ini semakin berkembang, Hal ini bisa dilihat dari berbagai desain pada setiap bangunan. Setiap desain memiliki karakteristik dan bentuk yang berbeda beda. Permasalahan yang sering dialami pengguna yaitu kurangnya pengetahuan pengguna dibidang desain interior sehingga setelah desain selesai dikerjakan pengguna tidak Puas dengan hasil desain interior. Tujuan utama penelitian ini berupa Sistem pengambilan keputusan dalam pemilihan desain interior sesuai dengan kebutuhan pengguna dengan memperhatikan kriteria seperti Bentuk Desain, ukuran desain, bahan dan Kualitas. Metode pemilihan Desain interior menggunakan metode Mamdani. Metode mamdani sangat cocok dalam menghitung nilai output dari masing masing nilai kriteria dan hasil akhirnya menjadi nilai acuan dalam pengambilan sebuah Keputusan. Sistem yang dihasilkan berupa kriteria pemilihan desain sesuai kebutuhan pengguna. Dengan demikian Hasil penelitian ini mendapatkan nilai Output sebesar 427.368 yang berada pada range dengan nilai dipertimbangkan.
Kata kunci: desain interior; fuzzy inference system; metode mamdani; software matlab.
Abstract:Abstract: The home industry, especially in the culinary sector, has grown in recent years. Many business actors produce the same products as other business actors, so competition often occurs. One of them is the Usaha Rakik…
kik Julidar which since 25 years ago made and sold rakik. There are so many types of rakik that there are minimarkets with different business actors. This makes the rakik not sold out at the convenience store and has an effect on the amount of production. This research was conducted to assist the Usaha Rakik Julidar in predicting the amount of production using Fuzzy Tsukamoto inference method. This research creates a web-based application to help predict the amount of production by looking at incoming demand and the number of workers available. From the prediction results with Fuzzy Tsukamoto, if the demand is 125 packs and the number of workers is 35 people, then the total production to be done is 140 packs. By obtaining a clear amount of production, this application really helps Usaha Rakik Julidar in maximizing production.
Keywords: fuzzy tsukamoto; prediction; production; rakik
Abstrak: Industri rumah tangga khususnya di sektor kuliner banyak tumbuh dalam beberapa tahun terakhir. Banyak pelaku usaha menghasilkan produk yang sama dengan pelaku usaha lainnya, sehingga sering terjadi persaingan. Salah satunya adalah Usaha Rakik Julidar yang sejak 25 tahun yang lalu membuat dan menjual rakik. Banyak sekali jenis Rakik yang ada minimarket dengan pelaku usaha yang berbeda. Hal ini membuat rakik tidak terjual habis di minimarket dan berpengaruh pada jumlah produksi. Penelitian ini dilakukan untuk membantu Usaha Rakik Julidar dalam melakukan prediksi jumlah produksi dengan menggunakan metode inferensi fuzzy Tsukamoto. Penelitian ini membuat aplikasi berbasis web untuk membantu melakukan prediksi jumlah produksi dengan melihat permintaan yang masuk dan jumlah pekerja yang tersedia. Dari hasil prediksi dengan fuzzy Tsukamoto, jika permintaan sebanyak 125 bungkus dan jumlah tenaga kerja 35 orang, maka jumlah produksi yang harus dilakukan adalah 140 bungkus. Dengan diperolehnya jumlah produksi yang jelas, aplikasi ini sangat membantu Usaha Rakik Julidar dalam memaksimalkan produksi.
Kata kunci: fuzzy tsukamoto; prediksi; produksi; rakik
Abstract:Abstarct: Typhoid fever is an acute infectious disease that occurs in the human digestive tract (especially the small intestine) caused by salmonella tyhpi, in different phases the bacteria can spread to the bloodstream…
and even to the human bones. So with this disease detection needs to be done since. This research builds an expert system to diagnose typhoid fever with a backward chaining method with an inference process so that it can be used to produce disease diagnoses based on perceived symptoms and provide appropriate solutions.
Keywords : Expert System, Backward Chaining, Thypoid Fever
Abstrak: Demam Tifoid adalah penyakit infeksi akut yang terjadi pada saluran perncernaan manusia (terutama usus halus) yang disebabkan oleh bakteri salmonella tyhpi, pada fase berbeda bakteri dapat menyebar ke aliran darah bahkan ke tulang manusia. Maka dengan ini perlu pendeteksian penyakit sejak ini. Penelitian ini membangun sistem pakar untuk mendiagnosis penyakit demam tifoid dengan metode backward chaining dengan proses inferensi agar dapat digunakan untuk menghasilkan diagnosa penyakit berdasarkan gejala yang dirasakan serta memberikan solusi yang tepat.
Kata kunci: Sistem Pakar, Backward Chaining, Demam Tifoid..
Abstract:The demand for electrical energy continues to rise with the progression of time. This growth must be matched by a reliable and cost-effective supply of electricity, requiring power systems that are both dependable and economical.…
onomical. Since the amount of electricity consumed by users cannot be precisely predicted, balancing generation with consumption necessitates accurate electrical load forecasting. This study focuses on load forecasting using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. The forecast developed targets daily peak loads, which fall under short-term load forecasting. The data used for this forecasting consists of historical daily peak loads from January 1, 2017, to June 9, 2022. The forecasting process involves parameters such as radius, squash factor, accept ratio, reject ratio, and epoch. The forecast accuracy is evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results are then compared with PLN’s load forecasting, which employs the load coefficient method. The ANFIS-based forecasting achieved a MAPE of 1.879%, using networks Jaringan_24 and Jaringan_25. This MAPE value is slightly lower than PLN’s load forecasting MAPE of 1.917%, indicating better accuracy by the ANFIS method.
Abstract:The aim of the research describes the representation of Islam in America in the TED Talks Youtube Channel video entitled What It's Like to be a Muslim in America. The research are analyzed including obtaining forms of representation…
presentation of Islam in America, describe the representation of Islam in America and describe the implementation of the Cross Culture Understanding course on the condition of Muslims and Islam in America.
The methodology of research utilized to analyze this video is a semiotic structural methodology based on Roland-Barthes theory, that was construct a structured sign system in the format of denotative and connotative signs. After the writer analyzed in the TED Talks Youtube Channel video entitled What It's Like to be a Muslim in America with using denotative and connotative analysis. Finally, the author can describe the inference that Islam representation in America consist of 3 constructions. To describe the representation of Islam in America after the tragedy in America on September 11, 2001 as the shape of Islamophobia, and the results of this research can be implemented with the theories of the Cross Culture Understanding course