Publication Search

In buying a laptop, you need to look at the specifications and standards that are tailored to your needs and requirements. Some of the standards and requirements include looking at several aspects of the criteria including the price of the laptop, RAM (random access memory), processor, hard drive capacity, screen size, VGA (video graphic adapter), battery power, weight, length of warranty, availability of spare parts, service range center. The fuzzy method is a method that makes it easy to find a value that is still vague and also linguistic, the use of the sample additive weighting (SAW) method is used to assist calculations in supporting decision making. The choice of using the SAW method is simpler in calculations, but the results of the calculations are accurate. From the results of calculations using the SAW method, it is calculated that between laptop 1 to laptop 7 with a price preference weight of 30, RAM 10, processor 10, hard disk capacity 10, screen size 5, VGA 3 (video graphic adapter), battery power 7, weight 5 , length of warranty 10, availability of spare parts 5, distance to service center 5, the highest order starts from laptop 1 with a total value of 18.4, laptop 7 with a value of 16.6, laptop 6 with a value of 13.6, laptop 5 with a value of 13.5, laptop 3 with a value of 13.2, laptop 4 with a value of 11.2, laptop 2 with a value of 8.9. The results of the assessment can change according to the needs of laptop buyers, who are more concerned with which criterion has the most important weight.

Rice plants (Oryza sativa L.) are rice-producing plants which are a source of carbohydrates for most of the world's population. Almost 95% of Indonesia's population consumes rice as a staple food, so every year the demand for rice increases as the population increases. Therefore, farmers must choose quality seeds. In this era of fast and efficient technological progress, this is a very good thing for all progress in various fields. more and more fields of knowledge are developing, one of which is the existence of a decision-making system. a set of model-based procedures for processing and valuing data to help managers make decisions. This decision-making system uses several variables as input consisting of: type of variety, seed shape, seed color, root, seed age. The method used by the author is Fuzzy Tsukamoto. In the Tsukamoto method, it is explained that each consequence in IF-Then must be explained with a fuzzy set that has a membership function that does not change or is monotonous and for programming it uses PHP. The results obtained from the research that the authors conducted were in the form of a decision-making system to get the best seed yields.

Personality recognition is one of the important things for recognizing oneself and other people. This identification is made based on a person's personality traits, based on Kant's personality theory. There are very few teachers who do not understand their students' personalities. During the teaching and learning process, some teachers do not clearly understand students' personalities, so it will be difficult for teachers to deliver learning material that arouses students' interest and thus influences the process of imparting knowledge. Consciousness is inhibited. Therefore, the FuzzyTsukamoto method is used to identify student personalities. The aim of this research is to help teachers group and identify students' personalities so that they can easily determine the right treatment method to develop their talents and interests. The system's input is taken from personality traits relevant to the student. The knowledge base is taken from child clinical psychologists and is built on the principle (IF-THEN). The results of the fuzzy calculation are that the student has a personality that is optimistic, quick-tempered, melancholic, or boring. The results of this method test by carrying out systematic calculations and tests, obtain personality results that are in accordance with the student's personality characteristics. and works fine. Therefore, it may be advisable to help teachers determine how to treat students.

This study uses the Fuzzy Analytical Hierarchy Process (FAHP) method to examine the choice of methanol raw material sources at PT XYZ. The procedure of gathering primary and secondary data for this study entails identifying supplier selection criteria, compiling data on criteria and sub-criteria, and compiling information on supplier performance. Results indicated that product quality, price, supply reliability, sustainability, and reputation were important factors in PT XYZ's decision to choose a certain supplier for its methanol raw materials. The relative weight of each criterion and sub-criteria has been computed using the FAHP approach, which aids in assessing possible providers. Additionally, depending on the obtained priority values, supplier rankings are also established. In conclusion, PT XYZ may choose its raw material suppliers for methanol using the FAHP approach effectively. As well as producing more objective and organized outcomes, this strategy aids in lowering decision-making uncertainty and complexity.

Pakar psikologi mengingatkan pentingnya untuk tidak meremehkan kesehatan mental atau depresi sejak dini karena dapat menyerang berbagai usia dan mampu memengaruhi kondisi psikis penyintasnya. Mulai dari menyalahkan orang lain, menyakiti diri sendiri, hingga menyebabkan keinginan bunuh diri, merupakan bahaya yang mengancam saat seseorang depresi. Oleh karena itu penelitian ini bertujuan untuk membuat perhitungan dengan metode fuzzy sugeno untuk mengukur tingkat depresi pada mahasiswa dan membuat sistem yang mempermudah pengguna untuk mengetahui tingkatan depresi yang dialaminya. Sampel dalam penelitian ini adalah mahasiswa Ilmu Komputer Universitas Negeri Medan. Pengambilan sampel dilakukan dengan teknik Stratified Random Sampling. 60 responden yang terukur, terdapat 40% yang terindikasi tidak ada depresi/gangguan mood, 45% terindikasi depresi sedang, dan 15% terindikasi depresi berat. Hasil akurasi metode fuzzy sugeno yang dihitung menggunakan Mean Absolute Error (MAE) dengan memperoleh 5,36 yang artinya rata-rata kesalahan mendekati nilai sebenarnya.

Berdasarkan hasil penelitian yang dilakukan terdapat masalah yang ditemukan yaitu pada saat proses penggecekan kedalaman dan kekeruhan kualitas air masih menggunakan sistem secara manual yang melibatkan peran karyawan dalam melakukan proses penggecekannya dengan menggunakan alat turbidity meter dan level transmitter. Oleh sebab itu peneliti memberikan masukkan dan saran untuk proses penggecekan kedalaman dan kekeruhan air tersebut menggunakan sensor dalam mendapatkan hasil penggecekannya dan sistem berbasis internet of things untuk memonitoring hasil dari sensor yang digunakan. Lalu hasil dari prosesnya dapat dimonitoring langsung kedalam platform website. Didalam penelitian ini penulis menggunakan metode logika fuzzy logic untuk memprogram perangkat kerasnya dan hasil monitoringnya menggunakan website dengan framework codeigneter. Yang bertujuan untuk membangun sistem monitoring penggecekan kedalaman dan kekeruhan kualitas air secara otomatis menggunakan sensor ultrasonic dan sensor turbidity.

Kondisi pandemi COVID-19 tahun selama kurang lebih 2 tahun menjadi pembelajaran bagi Indonesia khususnya di bidang kesehatan. Problematika di bidang kesehatan semakin terlihat jelas di era pandemi COVID-19 ini. Suhu tubuh normal berkisar antar 36,5⁰C - 37,5⁰C dan bila melebihi 38,5⁰C maka ada indikasi terinfeksi covid-19 yang kemudian akan diarahkan untuk isolasi baik mandiri atau di tempat yang telah disediakan. Tujuan adanya ruang isolasi adalah untuk mengendalikan penyebaran penyakit menular yang bisa mewabah. Ruang isolasi adalah ruangan khusus, orang-orang yang bisa masuk ke ruangan ini juga sangat terbatas. Mengingat di ruang isolasi tidak bisa sembarangan keluar masuk, untuk itu dikembangkanlah sistem monitoring yang mampu memantau beberapa parameter yang dibutuhkan agar ruangan tersebut memenuhi standar operasional prosedur. Salah satunya adalah pengelolaan tata udara yang harus dijaga yaitu suhu ruangan dan kelembapan ruangan. Udara dalam ruangan dan kontaminan dalam ruangan minimal 6x pertukaran udara perjam dengan suhu ruangan 24 - 26 C dan kelembaban relatif 40 - 60%. Berdasarkan permasalahan diatas penulis ingin menerapkan Fuzzy logic metode Mamdani pada sistem monitoring suhu dan kelembapan ruangan pasien isolasi Covid-19 berabsis IOT ( Internet of Things ). Hal ini tentunya sangat membantu berbagai pihak mulai perorangan, hingga lembaga kesehatan utamanya rumah sakit umum. Dari pengujian metode Fuzzy Logic tersebut diambil 10 data yang dibandingkan nilainya dengan Matlab, dapat dihasilkan rata-rata error output PWM sebesar 0.1%. Bedasarkan pengujian metode black box yang dilakukan dapat diketahui tampilan sistem sesuai dengan tampilan yang diharapkan, dengan persentase kesesuaian 100%. Untuk pengujian fungsional dapat diketahui tampilan website dapat berfungsi dengan baik pada browser Opera, Chrome, dan juga Microsoft Edge.

The method fuzzy is one part of the fuzzy inference system that is useful for drawing conclusions or the best decision in uncertain problems. Currently, about 200 countries in the world are experiencing the Covid-19 pandemic. Various policies were carried out to overcome this. In addition to the health protocols that are always implemented, the community must also know the conditions of the area where they live so that they can anticipate any activities carried out. The method is used fuzzy to determine the risk zone for the spread of Covid-19 in North Sumatra Province based on 3 variables, namely positive cases, suspected cases, and dead cases. The data used in this study is weekly Covid-19 data from March 2021 to July 2021 for 4 selected areas, namely Medan City, Pematang Siantar City, Simalungun Regency, and Central Tapanuli Regency. All variables are represented using triangular curves and their membership functions are determined. Then the implication function of the min is used to determine the rules used. From the results of the implication function, the composition between all the rules obtained is carried out by taking the maximum rule then that value is used to modify the fuzzy area so that a new membership function is obtained. The method is used centroid to obtain a crisp or the final result is the value of the risk zone. This research also utilizes the Matlab to calculate the results. The results from the use of the Mamdani method will be compared with the real risk zone data so as to produce a 75% average percentage similarity for the data for 4 regions in North Sumatra so it can be concluded that the model made is good enough to determine the risk zone for the spread of Covid-19 in North Sumatra Province.