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1

Elfaladonna, Febie, and Indra Griha Tofik Isa. "UJI EFEKTIFITAS METODE FUZZY LOGIC MAMDANI PADA PENERIMAAN BEASISWA BANTUAN MENGGUNAKAN MATLAB." SINTECH (Science and Information Technology) Journal 5, no. 1 (2022): 75–86. http://dx.doi.org/10.31598/sintechjournal.v5i1.1043.

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One of the supporters in creating an even educational climate is the existence of scholarships. In general, scholarships in the form of financial assistance intended for the community of higher education, both lecturers, teachers, students and students. In the awarding of scholarships, some findings were obtained, including not being on target which caused the scholarship assistance to be ineffective. One solution in determining the acceptance of scholarships is the existence of a system that is integrated with decision-making methods. Fuzzy logic mamdani becomes one of the recommendation meth
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Istiadi, Istiadi, Emma Budi Sulistiarini, Rudy Joegijantoro, Anik Vega Vitianingsih, and Affi Nizar Suksmawati. "Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 6 (2022): 1047–56. http://dx.doi.org/10.29207/resti.v6i6.4656.

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E-learning and expert systems can be implemented for learning in the health sector. Through the e-learning system, prospective health workers can analyze problems by exploring the material in the system. However, material learning alone is less effective, so case study-based learning using an expert system is needed to strengthen understanding. The research applies an expert system to online learning to diagnose several infectious diseases. The disease diagnosis process uses the backward chaining method and the Mamdani fuzzy inference system. The fuzzy Mamdani inference system determines the i
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E. Kizito, Anazia, Emmanuel Ojei, and M. D. Okpor. "A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm." International Journal of Scientific Research and Management (IJSRM) 12, no. 03 (2024): 1081–93. http://dx.doi.org/10.18535/ijsrm/v12i03.ec06.

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Due to advancement and complexity of modern automobiles, fault detection has gone beyond manual or trial by error methods. The fault detection technologies in automotive industry is used to identify any potential or already existing fault in automobiles. Faults in automobiles are usually mechanical or electrical faults that may include airbag control unit, radiator, gearbox, transmission control unit, tyre pressure, brakes, air conditioner, cylinder casket, alternator, hubs malfunctions etc. Each fault has a specific or related sign and symptoms. There are several methods of fault detections i
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Borroek, Maria Rosario, Errissya Rasywir, and Yovi Pratama. "Pengukuran Perangkat Lunak Untuk Effort Estimation Dengan Teknik Pembelajaran Mesin." JURNAL MEDIA INFORMATIKA BUDIDARMA 4, no. 2 (2020): 445. http://dx.doi.org/10.30865/mib.v4i2.2083.

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Software effort estimation is to estimate the amount of resources needed in developing the software. For that software effort estimation is important so need to see the effect of software measurement to software effort estimation which is done by machine learning technique. Based on this the researcher tries to build a system capable of measuring software. In this study experiments on software measurement techniques (FPA, FPA with Sugeno fuzzy and FPA with mamdani fuzzy). The three types of techniques are compared with the three project data for further software effort estimation. For evaluati
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Wanti, Linda Perdana, Oman Somantri, Nur Wachid Adi Prasetya, and Lina Puspitasari. "Fuzzy expert system design for detecting stunting." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (2024): 556. http://dx.doi.org/10.11591/ijeecs.v34.i1.pp556-564.

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Stunting is a chronic nutritional problem that occurs in toddler due to lack of nutritional intake which results in impaired growth toddler. Usually, toddler who experience stunting are characterized by not increasing weight over a long period of time. Application utilization health which makes it easier for users to access information, one of which can be used to identify toddler who are stunted by selecting symptoms. The symptoms experienced by toddlers go through a system known as the system expert. In this research an expert system will be developed that is capable of early detection devel
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Wanti, Linda Perdana, Oman Somantri, Nur Wachid Adi Prasetya, and Lina Puspitasari. "Fuzzy expert system design for detecting stunting." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (2024): 556–64. https://doi.org/10.11591/ijeecs.v34.i1.pp556-564.

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Stunting is a chronic nutritional problem that occurs in toddler due to lack of nutritional intake which results in impaired growth toddler. Usually, toddler who experience stunting are characterized by not increasing weight over a long period of time. Application utilization health which makes it easier for users to access information, one of which can be used to identify toddler who are stunted by selecting symptoms. The symptoms experienced by toddlers go through a system known as the system expert. In this research an expert system will be developed that is capable of early detection devel
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Marbun, Murni, Sandhuri -, and Aishwarya -. "Analysis of Application of Fuzzy Grid Partition on Mamdani Method Fuzzy Inference System." Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) 6, no. 1 (2022): 68–74. http://dx.doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2890.

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The Mamdani method has been widely used for various control devices, which is the beginning of fuzzy technology and has the advantage of being able to express concepts that are difficult to formulate and the use of fuzzy membership functions in making objective observations of subjective values, making it easier to make decisions that are full of uncertainty. The Mamdani method has also been widely used for various optimization problems. This study produces new findings on the analysis of the application of fuzzy grid partition on the fuzzy inference system of the Mamdani method for the issue
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Harliana, Putri, Mardiana Mardiana, and Yuris Agustira Nainggolan. "Analisa Perbandingan Tingkat Akurasi dalam Memprediksi Laju Inflasi Kota Medan Menggunakan Model Fuzzy Inference System Sugeno dan Mamdani." Hello World Jurnal Ilmu Komputer 1, no. 3 (2022): 145–52. http://dx.doi.org/10.56211/helloworld.v1i3.130.

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Logika fuzzy merupakan perluasan dari penalaran tradisional, di mana x adalah salah satu anggota dari himpunan A atau tidak, atau sebuah x dapat menjadi anggota himpunan A dengan derajat keanggotaan (μ) tertentu. Kemampuan model fuzzy dalam memetakan nilai kabur menjadi alasan penggunaan model inferensi fuzzy dalam berbagai kasus yang menggunakan nilai kabur untuk menghasilkan suatu output yang jelas atau pasti. Dalam penelitian ini akan dilakukan analis tingkat akurasi yang dihasilkan model inferensi fuzzy Sugeno dan Mamdani dalam memprediksi laju inflasi di Kota Medan, hasil prediksi akan di
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Darmawati, Darmawati. "Proses Pendiagnosaan Penyakit Menggunakan Logika Fuzzy Dengan Metode Mamdani." SAINTIFIK 3, no. 2 (2017): 161–70. http://dx.doi.org/10.31605/saintifik.v3i2.156.

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Logika fuzzy merupakan cabang dari logika klasik. Logika fuzzy lahir setelah logika klasik dianggap terlalu eksak untuk masalah nyata yang terkadang begitu kompleks. Salah satunya adalah proses pendiagnosaan penyakit, yang menjadi hal penting dan mendasar dalam kedokteran. Hal ini disebabkan pengambilan tindakan terapi dan pengobatannya berdasarkan pada hasil diagnosa itu. Dengan bantuan Fuzzy Expert System (FES) pada metode Mamdani, dapat diperoleh hasil perkiraan diagnosa untuk seorang pasien terhadap suatu penyakit dengan memperhatikan gejala penyakit tersebut. Metode Mamdani mempunyai empa
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Rezky Aprilianto, Arif, Budi Cahyono, and Mohamad Tafrikan. "Implementation of Mamdani Method Fuzzy System in Determining Final Semester Grades of UIN Walisongo Semarang Students." Contemporary Mathematics and Applications (ConMathA) 7, no. 1 (2025): 46–63. https://doi.org/10.20473/conmatha.v7i1.53479.

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Final semester grades are an important component for students to obtain a pass in completing a course. The program for determining final semester grades using fuzzy Mamdani can be used to facilitate the calculation of final semester grades. This research aims to determine the results of applying the Mamdani fuzzy system method in determining the final semester grades of students at UIN Walisongo Semarang. The Mamdani fuzzy system method was chosen as the method for calculating final semester grades along with MAPE (Mean Absolute Percentage Error) calculations. In accordance with the lecture co
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Wanti, Linda Perdana, and Oman Somantri. "Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection." Journal of Information Systems Engineering and Business Intelligence 8, no. 2 (2022): 182–95. http://dx.doi.org/10.20473/jisebi.8.2.182-195.

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Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases. Methods: The first is to process data on dental disease symptoms and dental support tissues based on complaints of toothache consulted with experts at a community health centre (puskesmas). The second is to apply the Mamdani fuzzy logic and the Naïve Bayes to the proposed expert system. The third is to provide recommended decisions about dental diseases based on the symptom data inputted into the expert s
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FIBRIAYORA, A. A. I. DWI, G. K. GANDHIADI, NI KETUT TARI TASTRAWATI, and I. PUTU EKA NILA KENCANA. "APPLICATION OF MAMDANI FUZZY METHOD TO DETERMINE ROUND BREAD PRODUCTION AT PT VANESSA BAKERY." E-Jurnal Matematika 8, no. 3 (2019): 204. http://dx.doi.org/10.24843/mtk.2019.v08.i03.p254.

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Mamdani Fuzzy is a method that interprets input values and makes conclusions based on IF-THEN rules and producing the output. In this research Mamdani fuzzy method is applied to determine the amount of round bread production at PT Vanessa Bakery. The step involve: determining the fuzzy system, the membership functions, as well as the fuzzy rules. The defuzzification process is applied to determine the amount of total production and to calculate the MAPE value of the Mamdani fuzzy method. The calculated MAPE as much as 5.94%, indicates this method has an excellent forecasting ability because th
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Jarti, Nanda, and Weni Lestari Putri. "PENERAPAN FUZZY INFERENCE SYSTEM PEMILIHAN DESAIN INTERIOR." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 7, no. 1 (2020): 75–82. http://dx.doi.org/10.33330/jurteksi.v7i1.921.

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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 sele
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Agus, Nursikuwagus, and Baswara Agis. "A Mamdani Fuzzy Model to Choose Eligible Student Entry." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 1 (2017): 365–72. https://doi.org/10.12928/TELKOMNIKA.v15i1.4893.

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This paper presented about study that have been created a new student choosing system by using fuzzy mamdani inference systems method. Fuzzy mamdani is used because it has characteristics such as human perceptions on choosing of students with some specified criteria. The choosing students who want entry to the school have been difficult if it is manually process. With the fuzzy mamdani, the process can be possible completed execute and can be reduced the time of choose. To accomplish the process, the fuzzy variable is created by the national final exam scores, report grade, general competency
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Agus, Nursikuwagus, and Baswara Agis. "A Mamdani Fuzzy Model to Choose Eligible Student Entry." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 1 (2017): 365–72. https://doi.org/10.12928/TELKOMNIKA.v15i1.5099.

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This paper presented about study that have been created a new student choosing system by using fuzzy mamdani inference systems method. Fuzzy mamdani is used because it has characteristics such as human perceptions on choosing of students with some specified criteria. The choosing students who want entry to the school have been difficult if it is manually process. With the fuzzy mamdani, the process can be possible completed execute and can be reduced the time of choose. To accomplish the process, the fuzzy variable is created by the national final exam scores, report grade, general competency
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Imelda Nasrul, Tiara, Amri Amri, and Muhammad Sayuti. "Application of Fuzzy Mamdani Method to Predict the Number of Blood Bags Based on Demand and Supply Data Using Matlab." International Journal of Engineering, Science and Information Technology 4, no. 4 (2024): 29–37. http://dx.doi.org/10.52088/ijesty.v4i4.567.

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Fuzzy logic is a control system technique in solving problems and is applied to systems, from basic systems to difficult or complex systems. Fuzzy logic is the proper method to plan an input space into an output space using MATLAB's mathematical theory of fuzzy sets. The reason for using fuzzy logic is because it is related to uncertainty. The unstable demand for blood bags in hospitals makes the supply of blood bags excessive or lacking from demand. The lack of blood supply results in the unfulfilled demand for blood needed by the hospital, while the excess blood supply worsens the quality of
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Subramaniam, Prabhakar Rontala, and Chitra Venugopal. "Comparison of Mamdani and Sugeno Inference Methods in Calorie Burn Calculation for Activity Using Treadmill." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1703–9. http://dx.doi.org/10.1166/jctn.2020.8428.

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This research provides a comparison between the performance of Mamdani and Sugeno Fuzzy Inference System in Calorie Burn calculation for treadmill workout exercise. The results are compared against the calculation calorie burn value using traditional formula. The objective of this results to get a system which provides calorie burn results closer to the traditionally calculated value. The Mamdani and Sugeno systems are designed with two input membership functions namely Incline and Speed and one output membership function called Calorie Burn as used in the traditional calculation method. The f
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Fajrina Reski Arini and Muhammad Romi Syahputra. "Implementasi Fuzzy Logic Controller System Metode Mamdani dan Metode Sugeno Dalam Peningkatan Efisiensi Dan Kinerja Pencucian Pada Smart Washing Machine." Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam 2, no. 2 (2024): 325–45. https://doi.org/10.59581/konstanta.v2i2.3577.

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Pencucian pakaian merupakan salah satu proses yang penting dalam kehidupan sehari-hari. Meskipun mesin cuci otomatis telah memberikan kemudahan dalam melakukan proses pencucian, penggunaan teknologi terbaru seperti kontrol logika fuzzy dapat meningkatkan kinerja mesin cuci pintar untuk mencapai hasil pencucian yang optimal. Penelitian ini bertujuan untuk mengimplementasikan kontrol logika fuzzy dengan metode Mamdani pada mesin cuci pintar guna meningkatkan efisiensi dan kualitas pencucian. Metode penelitian ini terdiri dari beberapa tahap, pertama, melakukan analisis terhadap variabel-variabel
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Asman, Muhammad, Deden Hardan Guatama, Dhina Puspasari Wijaya, and Andri Pramuntadi. "Perancangan Sistem Prediksi Pembelian Stok Masker dengan Metode Fuzzy Mamdani (Studi Kasus: Ud Masker Murah Jogja)." Jurnal Teknik Industri Terintegrasi 6, no. 3 (2023): 685–95. http://dx.doi.org/10.31004/jutin.v6i3.16647.

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This research aims to design a fuzzy Mamdani-based prediction system to assist in stock management decision-making for masks at UD MASKER MURAH JOGJA. The system will provide recommendations for mask brands with the highest sales and revenue. The fuzzy Mamdani method is considered effective in addressing subjectivity and providing highly precise mask stock predictions. This research will also consider profit variables as additional attributes to enhance prediction accuracy. The prediction system will help UD MASKER MURAH JOGJA make informed decisions in mask stock management, with the goal of
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Shan e Zahra and Sabir Abbas. "Weather Forecasting Pridiction using Mamdani Fuzzifier." Lahore Garrison University Research Journal of Computer Science and Information Technology 3, no. 2 (2019): 9–13. http://dx.doi.org/10.54692/lgurjcsit.2019.030272.

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A climate expectation display is under study in view of the neural system and fuzzy surmising framework, and after that apply it to anticipate every day fuzzy precipitation given meteorological premises for testing. A "fuzzy ranked based neural system", which reenacts successive relations among fuzzy sets utilizing the manufactured neural system. It is outstanding that the requirement for exact climate expectation is clear while thinking about the advantages. Nonetheless, the over the top quest for exactness in climate expectation makes a portion of the "precise" forecast comes about pointless
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Prasetya, Budi, Aries Boedi Setiawan, and Basitha Febrinda Hidayatulail. "Fuzzy Mamdani Pada Tanaman Tomat Hidroponik (Mamdani Fuzzy on Hydroponics Tomato Plants)." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 3, no. 2 (2019): 228. http://dx.doi.org/10.21070/jeee-u.v3i2.2471.

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Abstract — Tomato plants are one of the many agricultural commodities needed by the community. Most farmers grow tomatoes in conventional ways in the fields, fields or plantations without the control and measurement relying on experience and habitual factors, so the need for pH and temperature of the planting space of tomato plants cannot be given according to their needs, while the pH requirements of tomato plants range 6.5 and the planting room temperature is 28 °C, and soil moisture is 70%, using the hydroponic planting method which is automatically controlled by the Arduino-based microcont
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Tejash U. Chaudhari, Vimal B. Patel, Rahul G. Thakkar, and Chetanpal Singh. "Comparative analysis of Mamdani, Larsen and Tsukamoto methods of fuzzy inference system for students’ academic performance evaluation." International Journal of Science and Research Archive 9, no. 1 (2023): 517–23. http://dx.doi.org/10.30574/ijsra.2023.9.1.0443.

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Over the last few years, the use of the fuzzy logic technique for evaluating performance in the teaching-learning process is growing rapidly. In this research work, three different fuzzy inference methods: Mamdani fuzzy inference method, Larsen fuzzy inference method and Tsukamoto fuzzy inference method have been proposed for students' academic performance appraisal for multi-input variables. To obtain a degree of satisfaction, the Triangular membership function is used. The results of experiments showed the best fuzzy inference method among Mamdani, Larsen and Tsukamoto. We have also compared
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Tejash Umedbhai Chaudhari, Krunal Balubhai Patel, and Vimal Bhikhubhai Patel. "A study of generalized bell-shaped membership function on Mamdani fuzzy inference system for Students’ Performance Evaluation." World Journal of Advanced Research and Reviews 3, no. 2 (2019): 083–90. http://dx.doi.org/10.30574/wjarr.2019.3.2.0046.

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This paper presents a Mamdani fuzzy inference system for evaluation of students’ performance based on Generalized bell-shaped membership function (𝑖. 𝑒 . gbellmf(x; a, b, c) = 1 1+| x−c a | 2b). The objective of this research work is to study the control of parameter ‘b’ in the generalized bell-shaped membership function. Experimental Mamdani fuzzy inference systems will keep every condition identical except changing the parameter ‘b’ in the generalized bell-shaped membership function. Different values of parameter ‘b’ in generalized bell-shaped membership function using Mamdani fuzzy inferenc
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Sarimuthu, Charles R., Vigna K. Ramachandaramurthy, H. Mokhlis, and K. R. Agileswari. "Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Transformer Tap Changing System." International Journal of Advances in Applied Sciences 5, no. 4 (2016): 163. http://dx.doi.org/10.11591/ijaas.v5.i4.pp163-167.

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<p>Voltage control is considered one of the basic operational requirements of electrical power systems. The most popular voltage control equipment includes On-Load Tap Changer (OLTC) transformer controlled by Automatic Voltage Control (AVC) relay. Recent studies have shown that fuzzy inference systems (FIS) are applicable for transformer tap changing system. In this paper, FIS are developed for transformer tap changing system using Mamdani-type and Sugeno-type fuzzy models. The results of the two fuzzy inference systems (FIS) are compared. The basic difference between the Mamdani-type FI
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Yurida, Sieny, Kresna Oktafianto, and Rita Yuliastuti. "Analisis Perbandingan Harga Mobil Bekas Menggunakan Metode Fuzzy Inference System (FIS) Mamdani dan Tsukamoto." Jurnal Riset dan Aplikasi Matematika (JRAM) 1, no. 1 (2017): 40. http://dx.doi.org/10.26740/jram.v1n1.p40-52.

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Pada dasarnya dalam memperkirakan harga mobil bekas belum digunakan suatu metode tertentu, khususnya metode logika fuzzy. Logika fuzzy memiliki lebih dari satu metode dalam perhitungan perkiraan hasil suatu kasus tertentu. Penelitian ini bertujuan untuk memberikan solusi dengan cara membandingkan metode fuzzy Tsukamoto dengan metode fuzzy Mamdani dalam kasus memperkirakan harga mobil bekas dan menentukan metode manakah yang lebih baik. Metode penelitian menggunakan metode komparasi atau perbandingan, dalam membandingkan perhitungannya menggunakan nilai rata-rata dari hasil yang diperoleh pada
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Dewi, Siti utami, and Rr Tutik Sri Haryati. "Breast Cancer Risk Analysis Using Fuzzy Inference System with the Mamdani Model: Literature Review." JIKO (Jurnal Ilmiah Keperawatan Orthopedi) 5, no. 2 (2022): 40–47. http://dx.doi.org/10.46749/jiko.v5i2.70.

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Breast cancer is one of the most common cancer causes of death in sufferers. Breast cancer is the second leading cause of death for Indonesian women. For this reason, a device that can identify the risk of breast cancer is needed. The fuzzy method with the Mamdani model is one method that has been widely used in software development to determine the level of breast cancer risk. Purpose: To know the software development of the Fuzzy Inference System Method with the Mamdani model to identify the level of breast cancer risk. Methods: This research is a literature study with the data collection pr
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JIANG, Yi-Zhang, Zhao-Hong DENG, and Shi-Tong WANG. "Mamdani-Larsen Type Transfer Learning Fuzzy System." Acta Automatica Sinica 38, no. 9 (2012): 1393. http://dx.doi.org/10.3724/sp.j.1004.2012.01393.

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Hakim, Galang Persada Nurani, Rachmat Muwardi, Mirna Yunita, and Diah Septiyana. "Fuzzy Mamdani performance water chiller control optimization using fuzzy adaptive neuro fuzzy inference system assisted." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1388–95. https://doi.org/10.11591/ijeecs.v28.i3.pp1388-1395.

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Fuzzy Mamdani knows as one of the modern control systems. It was known to have a better performance result when compared to conventional methods. However, because the input of this modern control system sometimes is based on human experience, therefore its performance is sometimes below the conventional one. We propose using the adaptive neuro fuzzy inference system assisted (ANFIS) approach to optimize the fuzzy Mamdani membership function input to overcome this problem. We have tested our hypotheses in water chiller applications based on microcontrollers. Even though it is still behind conve
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Abdullah Muadz Nadzir Azhar, Deden Pradeka, and Devi Aprianti Rimadhani Agustini. "Study Program Selection Recommendation System Using the Fuzzy Inference System Mamdani." Jurnal Sistem Cerdas 7, no. 1 (2024): 13–25. http://dx.doi.org/10.37396/jsc.v7i1.384.

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This study presents a recommendation system for selecting study programs using the Mamdani fuzzy inference system. With the aim of assisting prospective students in making informed decisions, the system evaluates various factors including talents, UTBK scores, and school exam grades. The research utilizes the Temu Bakat test to assess talents and applies fuzzy logic to map inputs to outputs. Fuzzy rules are formulated based on the evaluation of antecedents, and aggregation combines multiple rules into a single output. Defuzzification converts fuzzy outputs into clear recommendations. The syste
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Hakim, Galang Persada Nurani, Rachmat Muwardi, Mirna Yunita, and Diah Septiyana. "Fuzzy Mamdani performance water chiller control optimization using fuzzy adaptive neuro fuzzy inference system assisted." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1388. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1388-1395.

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Fuzzy Mamdani knows as one of the modern control systems. It was known to have a better performance result when compared to conventional methods. However, because the input of this modern control system sometimes is based on human experience, therefore its performance is sometimes below the conventional one. We propose using the adaptive neuro fuzzy inference system assisted (ANFIS) approach to optimize the fuzzy Mamdani membership function input to overcome this problem. We have tested our hypotheses in water chiller applications based on microcontrollers. Even though it is still behind conve
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Putra, Dwipa Junika, Nofriadi Nofriadi, and Erlinda Erlinda. "Implementation of Fuzzy Logic Using Mamdani Method to Determine The Quantity of Bag Production (Case Study In Roman Indah Padang Bag Factory)." JURNAL TEKNOLOGI DAN OPEN SOURCE 5, no. 1 (2022): 1–7. http://dx.doi.org/10.36378/jtos.v5i1.2220.

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Roman Indah bag Factory is a bag manufacturing company that receives orders from customers every month. Fuzzy Logic is used to define the production known so far, so that the preferred result can be used as a basis for manager's decision. In the calculation process, Fuzzy Logic Mamdani requires maximum and minimum production data, maximum and minimum demand data, and maximum and minimum inventory data. Fuzzy logic is able to map an input into an output without factor factors. Fuzzy logic is used to create a model of a system that is able to determine the quantity of production. the factors tha
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Damayanti, Dela Rista, Suntoro Wicaksono, M. Faris Al Hakim, Jumanto Jumanto, Subhan Subhan, and Yahya Nur Ifriza. "Rainfall Prediction in Blora Regency Using Mamdani's Fuzzy Inference System." Journal of Soft Computing Exploration 3, no. 1 (2022): 62–69. http://dx.doi.org/10.52465/joscex.v3i1.69.

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In the case study of weather prediction, there are several tests that have been carried out by several figures using the fuzzy method, such as the Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages and disadvantages. For example, the Tsukamoto fuzzy has a weakness, this method does not follow the rules strictly, the composition of the rules where the output is always crisp even though the input is fuzzy, ANFIS has the disadvantage of requiring a large amount of data. which is used as a reference for calculating data p
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Huong, Trieu Thu, Chu Thi Hong Hai, and Phan Thanh Duc. "An extension of complex fuzzy inference system for alert earlier credit risk at business banks." Edelweiss Applied Science and Technology 9, no. 4 (2025): 2147–56. https://doi.org/10.55214/25768484.v9i4.6500.

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The purpose of this study is to suggest a novel integrated model for assessing credit risk at commercial banks that is based on a complex fuzzy transfer learning framework. Research Design and Methodology: We used transfer learning on a complex fuzzy inference system, complex fuzzy set theory, and a complex fuzzy inference system to build a credit risk prediction model. Parallel to this, we compared the proposed model with the previously used credit risk prediction method known as the Mamdani CFIS model. Results: The study has validated the complex fuzzy inference model's capacity to accuratel
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Rianto, Evi, and Jonson Manurung. "Total Prediction Decision Support System Bakery and Cake Production Using Mamdani Fuzzy Method." Jurnal Mandiri IT 10, no. 2 (2022): 74–79. http://dx.doi.org/10.35335/mandiri.v10i2.95.

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The decision support system for predicting the amount of bakery and cake production using the fuzzy mamdani method is one of the processes for determining the prediction of the amount of bakery and cake production for the next month so that the desired production amount is according to needs. Neko-Neko Bakery & Cake so far in predicting the amount of production where the demand for bakery and cake is sometimes not fulfilled considering that the available bakery and cake production is not sufficient because the bakery and cake supplies in the production section do not meet and vice versa, n
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Yu, Jung-Won, Han-Soo Lee, Yeong-Sang Jeong, and Sung-Shin Kim. "Measuring System for Impact Point of Arrow using Mamdani Fuzzy Inference System." Journal of Korean Institute of Intelligent Systems 22, no. 4 (2012): 521–26. http://dx.doi.org/10.5391/jkiis.2012.22.4.521.

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Bellini, Francesco, Yas Barzegar, Atrin Barzegar, Stefano Marrone, Laura Verde, and Patrizio Pisani. "Sustainable Water Quality Evaluation Based on Cohesive Mamdani and Sugeno Fuzzy Inference System in Tivoli (Italy)." Sustainability 17, no. 2 (2025): 579. https://doi.org/10.3390/su17020579.

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Clean water is vital for a sustainable environment, human wellness, and welfare, supporting life and contributing to a healthier environment. Fuzzy-logic-based techniques are quite effective at dealing with uncertainty about environmental issues. This study proposes two methodologies for assessing water quality based on Mamdani and Sugeno fuzzy systems, focusing on water’s physiochemical attributes, as these provide essential indicators of water’s chemical composition and potential health impacts. The goal is to evaluate water quality using a single numerical value which indicates total water
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Nadia Nur Habibah and Syaiful Rahman Soenaria. "Pengungkapan Kinerja Lingkungan Instansi Pemerintah Daerah Melalui Laporan Keberlanjutan Berbasis Global Reporting Initiative." Inisiatif: Jurnal Ekonomi, Akuntansi dan Manajemen 3, no. 3 (2024): 316–39. http://dx.doi.org/10.30640/inisiatif.v3i3.2774.

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Laundry washing is a crucial process in daily life. Although automatic washing machines have simplified the washing process, utilizing advanced technology like fuzzy logic control can enhance the performance of smart washing machines to achieve optimal washing results. This research aims to implement fuzzy logic control using the Mamdani method on smart washing machines to improve efficiency and washing quality. The research methodology consists of several stages. Firstly, analyzing variables that affect the washing process, such as laundry load, fabric thickness, dirt level, and water tempera
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Barraza, Juan, Patricia Melin, Fevrier Valdez, and Claudia I. Gonzalez. "Modeling of Fuzzy Systems Based on the Competitive Neural Network." Applied Sciences 13, no. 24 (2023): 13091. http://dx.doi.org/10.3390/app132413091.

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This paper presents a method to dynamically model Type-1 fuzzy inference systems using a Competitive Neural Network. The aim is to exploit the potential of Competitive Neural Networks and fuzzy logic systems to generate an intelligent hybrid model with the ability to group and classify any dataset. The approach uses the Competitive Neural Network to cluster the dataset and the fuzzy model to perform the classification. It is important to note that the fuzzy inference system is generated automatically from the classes and centroids obtained with the Competitive Neural Network, namely, all the p
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Wanayumini, Wanayumini, and Devy Pratiwi. "Perancangan Aplikasi Penentuan Produksi Karet Pada PTPN 3 Kebun Sei Silau Dengan Menggunakan Metode Fuzzy Mamdani." JURNAL TEKNOLOGI INFORMASI 2, no. 1 (2018): 32. http://dx.doi.org/10.36294/jurti.v2i1.405.

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Abstract - This web application makes it easy for admin to handle rubber production without manually doing a tester. Good rubber production based on fuzzy mamdani is: Heat temperature with a value of -0.6 °, with rubber droplet conditions that are good for the production process. Dry air humidity with a value of -0.4%, with rubber droplets that are good for the production process. Intensity Dark light with a value of 0, rubber droplet conditions that are good for the production process. System decision support system that determines a decision to manage and analyze the work clearly. There are
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Nugroho, Agung, and Donny Maulana. "Implementasi Fuzzy Mamdani pada Seleksi Penerimaan Mahasiswa Baru." Pelita Teknologi 15, no. 1 (2020): 13–18. http://dx.doi.org/10.37366/pelitatekno.v15i1.265.

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The process of selecting new students at a tertiary institution is one of the stages of the admission process. In the process, not all applicants will be accepted, but only student candidates who fulfill the criteria will be selected. So that the selection process needs to be done based on the stages that have been determined. This research aims to make a new student admission selection system modeling using the fuzzy inference Mamdani method. Fuzzy Mamdani is used because it has characters such as the human core in processing data based on several determining criteria. Based on the results of
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Єпік М. О. "МЕХАНІЗМ НЕЧІТКОГО ВИВЕДЕННЯ В ІНТЕЛЕКТУАЛЬНІЙ СИСТЕМІ ДІАГНОСТИКИ ЗАХВОРЮВАНЬ". Science Review, № 2(19) (28 лютого 2019): 3–9. http://dx.doi.org/10.31435/rsglobal_sr/28022019/6363.

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This article is devoted consideration of mechanism of fuzzy conclusion in the intellectual system of diagnostics of diseases. The process of realization of inference method is described. The general structure of model of diagnostics of diseases is presented. The example of model fragment is considered. Description of base of fuzzy rules of the intellectual system is presented. The examples of external and internal representation of rules are resulted. The stages of algorithm of fuzzy conclusion of Mamdani are considered. Description of application of algorithm is presented for Mamdani for the
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Muzarafah, Muzarafah, and Marlina Marlina. "Penerapan Metode Fuzzy Mamdani Dalam Diagnosa Virus Penyebab Penyakit Pada Kucing." Jurnal Sintaks Logika 2, no. 3 (2022): 23–30. http://dx.doi.org/10.31850/jsilog.v2i3.1848.

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Adapun jenis virus yang terdapat pada kucing diantaranya yaitu Feline Immunodeficiency Virus (FIV), Feline Leukimia Virus (FeLV), Feline Calici Virus (FCV), Feline Rhinotracheitis (FVR), Feline Panleukopenia (FPV). Tujuan dari penelitian ini adalah mempermudah seseorang yang memelihara kucing untuk mendiagnosa virus pada kucing mereka. Pembuatan aplikasi ini menggunakan software Visual Studio Code sebagai editor serta merancang desain aplikasi dengan bahasa pemrograman PHP dan juga XAMPP sebagai databasenya. Menggunakan metode Fuzzy Mamdani untuk mengetahui virus penyebab penyakit pada kucing.
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Suhartono. "Identification of Canaries Bird's Chirp Quality Using Statistic Analysis, Sound Analysis and Fuzzy Mamdani Method." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 2 (2018): 690–702. https://doi.org/10.12928/TELKOMNIKA.v16i2.8537.

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Research about sound processing by computer using fuzzy logic has been known since 1970. One of approach logic fuzzy method is fuzzy mamdani method. Fuzzy mamdani method is the method to give conclusion from groupof rules of fuzzy. There have to be minimum of two rules, input rule and output rule. Sound processing in canaries bierd’s chirp quality can be explained as measurement standar for canary’s bird’s chirp to the point of song variant and volume. The background of this research is to create a sound identification system that uses dynamic data, the pattern of canary&rsqu
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Liutkevičius, R. "Fuzzy Hammerstein Model of Nonlinear Plant." Nonlinear Analysis: Modelling and Control 13, no. 2 (2008): 201–12. http://dx.doi.org/10.15388/na.2008.13.2.14580.

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This paper presents the synthesis and analysis of the enhanced predictive fuzzy Hammerstein model of the water tank system. Fuzzy Hammerstein model was compared with three other fuzzy models: the first was synthesized using Mamdani type rule base, the second – Takagi-Sugeno type rule base and the third – composed of Mamdani and Takagi-Sugeno rule bases. The synthesized model is invertible so it can be used in the model based control. The fuzzy Hammerstein model was synthesized to eliminate disadvantages of the other fuzzy models. The advantage of the fuzzy Hammerstein model was experimentally
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Hasanah, Nur, and Retantyo Wardoyo. "Purwarupa Sistem Pakar dengan Mamdani Product untuk Menentukan Menu Harian Penderita DM." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 7, no. 1 (2013): 45. http://dx.doi.org/10.22146/ijccs.3051.

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AbstrakPada 2025 diperkirakan 12,4 juta orang yang mengidap Diabetes Melitus (DM) di Indonesia. Perencanaan makan merupakan salah satu pilar dalam pengelolaan DM. Sistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Logika fuzzy fleksibel, memiliki kemampuan dalam proses penalaran secara bahasa dan memodelkan fungsi-fungsi matematika yang kompleks. Penelitian ini bertujuan menerapkan metode ketidakpastian logika fuzzy pada purwarupa sistem pakar untuk menentukan menu harian. Manfaat penelitian ini adalah untuk mengetahui keakur
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Alwendi, Al Wendi, and Khairunnisa Samosir. "PENGEMBANGAN DAN IMPLEMENTASI METODE FUZZY MAMDANI UNTUK PENILAIAN KINERJA PENELITIAN DOSEN." Jurnal Teknik Informasi dan Komputer (Tekinkom) 5, no. 2 (2022): 333. http://dx.doi.org/10.37600/tekinkom.v5i2.533.

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Today, information technology, especially soft computing technology is growing rapidly. One of the soft computing technologies that has been widely developed is fuzzy logic. This is because it can be used to measure various phenomena that are unclear, obscured or obscured. One of the research themes that uses fuzzy logic is the assessment system in research. Research [Graha Nusantara Padangsidimpuan Data Simlitabmas Still in the Leadership category for promotion to the Madya Faculty of UGN Padangsidimpuan is challenged to develop, dedicate and apply the knowledge needed in research. The goal a
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Wulandari, Berlina, Novita Br Ginting, Gibhta Fitri Laxmi, and Yuggo Affrianto. "Pemodelan Fuzzy Mamdani untuk Mengukur Kinerja Dosen Menggunakan Key Performance Indicator." INOVA-TIF 2, no. 1 (2020): 42. http://dx.doi.org/10.32832/inova-tif.v1i2.2755.

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<em>The measurement of lecturer performance is done in terms of objectivity and the absence of measurable variables used, so that the assessment variables used in the measurement process are based on one's perception. Inaccuracy in measuring lecture performance can be applied with the fuzzy mamdani method so that measurements become more precise. Weighting is done for each parameter that refers to the Key Performance Indicator. To support the performance of the lecturer, the data was obtained from lecturer data in the Faculty of Engineering which was processed to get the output. The form
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Alwendi, Alwendi, Khairunnisa Samosir, Mingliang Suo, and Yang Fan. "Implementation of the Mamdani Fuzzy Method to Evaluate the Performance of Lecturers in the Research Field." Journal International Inspire Education Technology 1, no. 3 (2023): 1–7. http://dx.doi.org/10.55849/jiiet.v1i3.128.

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Today, information technology, especially soft computing technology, has grown very rapidly. One of the soft computing technologies that has been widely developed is fuzzy logic, because it can be used to measure various phenomena that are ambiguous, disguised or fuzzy. One of the research topics that uses the application of fuzzy logic is the assessment system in the field of research. Research by Lecturers at the University of Graha Nusantara Padangsidimpuan in Simlitabmas Data Still in the Guidance Category to upgrade to the Middle Category UGN Padangsidimpuan lecturers are challenged to be
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Quyen, Anh Huy, Anh Viet Truong, and Nhung Thi Hong Le. "APPLICATION OF FUZZY SYSTEM TO CONTROL VOLTAGE IN MULTI NODES POWER SYSTEM." Science and Technology Development Journal 13, no. 2 (2010): 29–36. http://dx.doi.org/10.32508/stdj.v13i2.2115.

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Control voltage in power system is always necessary to guarantee power quality and reduce power loss of productivity. This paper presents the construction of voltage control fuzzy system in transmission network with variety control devices, used fuzzy Mamdani controllers. Fuzzy controllers associated and combined control actives to create an unified fuzzy control systems capable of automatically controlling the voltage at the nodes in power system by retaining nodes voltage in a while desired values with the satisfying restrictive conditions. Through the investigative results on 30bus IEEE sta
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Agustian, Indra, Bagus Imam Prayoga, Hendy Santosa, Novalio Daratha, and Ruvita Faurina. "NFT Hydroponic Control Using Mamdani Fuzzy Inference System." Journal of Robotics and Control (JRC) 3, no. 3 (2022): 374–85. http://dx.doi.org/10.18196/jrc.v3i3.14714.

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The Nutrient Film Technique (NFT) method is one of the most popular hydroponic cultivation methods. This method has advantages such as easier maintenance, faster and optimal plant growth, better use of fertilizers, and less deposition. The disadvantages of NFT include the consumption of electrical power and the faster spread of disease. Therefore, NFT requires a good nutrient control and monitoring system to save electricity and achieve optimal growth and resistance to pests and diseases. In this study, a nutrient control was designed with indicators of pH and TDS levels and equipped with an I
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