Sistem Smart Garden Tanaman Bayam Menggunakan Metode Fuzzy Logic

Excess nitrogen in the ammonium form may induce different nutritional disorders in plants depending on the species cultivated. Therefore, the objective herein was to evaluate the accumulation of nutrients, growth and the visual symptoms in rice and spinach plants in function of ammonium concentrations in the nutrient solution. Two experiments were performed with rice and spinach plants in a greenhouse, at the Unesp Campus of Jaboticabal-SP, Brazil. In each experiment five ammonium concentrations were used (10, 20, 40, 80 and 100 mmol L-1), arranged in a randomized block design with five repetitions. The effects of excess ammonia were studied on the green color index, electrolyte leakage, accumulation of N, Mg, K and Ca in the shoots, leaf area, height, dry matter of root, shoots and whole plant, and also characterization of the visual symptoms of toxicity in the plants. These effects of excess ammonium reported above are reflected in the production of plant dry matter, with a linear decrease in dry matter of the roots, shoots and whole plant. Excess ammonia in the nutrient solution decreased accumulation of dry matter due to reduced leaf area and increased cellular electrolyte leakage which induced symptoms characteristic of ammonium toxicity in both species, and also decreased uptake of Ca, Mg and K in rice plants and only Ca in spinach plants.

Electricity is one of the main sources of energy that is very important in everyday life, both for household needs, government agencies, and industry. To strengthen the implementation sustainable development goal by reducing the use of fossil fuel, the utilization of solar energy has great potential, though the efficiency of solar panels or solar energy technology is still relatively low, especially in Indonesia. Located in tropical region, the solar panel module receives solar irradiation that varies due to changes in weather or local environmental conditions, partial shading will occur, making the solar panels partially covered by shadows. This situation will result in a decrease in the output power of solar panels To overcome this issue, a battery is used to store the generated energy. To maximize the potential, the battery needs to be charged optimally which need a control algorithm to provide energy gathered from the solar panel, most of the time. Therefore, a maximum power point tracking (MPPT) is necessary to be associated with an algorithm to optimally control the performance of the solar energy harvesting scheme. In this study, both Mamdani and Sugeno Fuzzy Logic Algorithm are used in the MPPT with a buck converter at a solar panel with a battery. Buck converter is chosen to give safety charging margin to the battery since the converter's output voltage is lower than the input voltage. As for the fuzzy logic algorithm, Mamdani's Fuzzy Logic has the advantage of producing more accurate decision results than Sugeno's type. While, Sugeno's Fuzzy Logic has the advantage of using simple mathematical calculations in its design. In addition, a buck converter was also used to match the voltage generated by the solar panel to match the battery specifications. The system design and testing are carried out using Matlab R2018b Simulink. From the simulation, the Mamdani Fuzzy Logic-based MPPT has the same maximum power point tracking computation time as Sugeno's Fuzzy Logic. In the partial shading test conditions, MPPT based on Fuzzy Logic has a higher efficiency value of 94.50% when compared to MPPT without control which is only 89.56%. Under various conditions of irradiation and temperature, MPPT based on Fuzzy Logic has a higher efficiency value of 94.88% than MPPT without control which is only efficiency of 91.53%.

This study was conducted to investigate the effects of some plant growth-promoting rhizobacteria (PGPR) on the arbuscular mycorrhizal fungi (AMF) formation on [Brassica oleracea (cauliflower), Spinacia oleracea (spinach) ,and Urtica urens (stinging nettle)] belonging to Brassicaceae, Chenopodiaceae and Urticaceae families, which are known to have a negative influence on the symbiotic life formation with AMF. Two PGPR isolates that contributed to the plant's growth and served as a “mycorrhizal helper” in various hosts were predetermined at the initial stage; then they were applied to three plant species with AMF species [Gigaspora margarita and commercial AMF (ERS)]. The obtained results revealed that combined AMF x PGPR treatments improved the growth and morphological development parameters of cauliflower, spinach, and nettle plants. PGPR bacteria had different effects on AMF root colonization depending on the plant species. The highest root colonization rate was achieved in spinach plants with the commercial AMF treatments. Commercial AMF isolate, alone or in combination with PGPR strains, was also found to increase AMF spore density and mycorrhizal dependency in cauliflower and spinach plants. There was no significant difference in total phosphorus content in cauliflower and nettle compared to the control group, and only one application group (G. margarita x PGPR) in spinach plants had an increase in phosphorus content.

This research discusses the evaluation of healthcare service performance based on service quality for BPJS participants by measuring service performance in the categories of perception and expectation. The community health center (Puskesmas) serves as a sub-district level public health service ensuring health for the community, particularly BPJS participants. This study aims to determine healthcare service performance in terms of patient satisfaction. The research utilizes the Mamdani fuzzy logic method, with perception and expectation as input variables and service quality as the output. MATLAB software is used to implement the fuzzy logic. Data collection was conducted by randomly distributing questionnaires to BPJS patients at the Puskesmas Tarik. From the input data collected from respondents, the average service quality score obtained was 2 on a Likert scale of (1-3). Meanwhile, the Mamdani fuzzy logic calculation resulted in a score of 59.3. Based on these results, it is concluded that the current service quality of Puskesmas Tarik is considered to be moderate.Highlights: Evaluation of healthcare service quality using Fuzzy Mamdani. BPJS participants' satisfaction measured through perception and expectation. Moderate service quality score indicates the need for improvement. Keywords: Quality of Service, Fuzzy Mamdani, Perceptions, Expectations, BPJS

Dengue Fever is a disease that often attacks the community. Sufferers of Dengue Fever are increasing every year. In this case natural treatments are still widely found drugs that can cure Dengue Fever and Typhoid Fever (tipes), to produce which medicinal plants are good, and examples according to Dengue Fever and Typhoid disease (typhus) still experience trouble. To overcome the selection of the right medicinal plants, a decision support system was created using Fuzzy Logic, Fuzzy Mamdani using Matlab system test aids. The method used in decision making is the fuzzy method. The method is because the fuzzy method can be used in making multi-criteria decisions and quite well in solving identification problems that require many criteria. On the results of testing existing data obtained data by comparison between data and processes in the matlab application, the valid level of application testing is 94.4%. Based on the results of the test carried out in this study, the Decision Support System is expected to help the community to determine the symptoms that arise so that it can be known about the fever between dengue fever and typhoid (typhus) so that the selection of medicinal plants is appropriate and can be used.

A company does not see a problem, namely level competition. This competition is for companies to be able to provide a marketing or productivity strategy in order to survive and even have to increase their production volume. Because the estimated number of products produced is less than the number of requests, the company will lose the opportunity to get maximum and somewhat profit. Therefore, what needs to be considered in deciding the total of production is the total of demand and supply date. Writing and discussion in this study is about the application of the Logic Fuzzy Method Mamdani (Min-Max) to determine the total of production based on the total of demand and supply where the data is taken from CV. Abadi Tiga Mandiri Ambon and by applying the fuzzy logic method mamdani and Matlab assistance obtained results with a truth level of 93,238%. So that the application of Mamdani's Fuzzy Logic Method can help companies determine the number of items that must be made.

Oyster mushroom (Pleurotus ostreatus) has great potential in agricultural development with increasing global market demand. This research develops an intelligent cultivation system based on Mamdani fuzzy and IoT to control air temperature, air humidity, and soil moisture automatically and in real-time, using DHT22 sensor, resistive soil moisture sensor, and ESP32 as microcontroller. The test results show a high level of accuracy, with an average sensor error of 1% for air temperature, 3.8% for air humidity, and 9.3% for soil moisture. The validation of watering, humidification, and fan prediction times compared to MATLAB calculations is excellent, with MAPE values of 1.52%, 1.43%, and 1.43%, respectively. This system offers a more accurate and responsive automated solution compared to conventional cultivation management. Further testing on actual oyster mushroom farms is required to determine whether the system can adapt to varying environmental conditions. The system relies heavily on a stable internet connection to optimally perform the real-time Mamdani fuzzy calculation function.

In orber to increase the yield of crops in the cooler region of Japan (Tohoku), it is important to accelerate the early growth. The purpose of the present study is to find out how to accelerate the growth of the upland rice plants. The relationships between the kind and amount of fertilizer and early growth were studied in the controlled climatic chambers (about 16.5°C). On the other hand, the effect of soil moisture on the growth was observed in a glass room. The results are summarized as follows: 1. The influence of the amount of fertilizer upon the early growth of upland rice plants being at the about third leaf stage was obviously recongnized. That is, the absorption of nutrients and the growth of plants increased in proportion to the amount of fertilizer (the maximum in this experiment was 2.0 g N, 4.0 g P2O5 and 2.0 g K2O per 1/5000 a pot). 2. The degrees of acceleration of the early growth was maximal from nitrogen and decreased in the order phosphorus, pottasium, among the three elements of fertilizers. 3. In the case of the soil moisture content over 50 % of the maximum water holding capacity (120 % of dried soil), germination, growth and absorption of nutrients were scarecely affected by the soil moisture. But these decreased in proportion to soil moisture below 50%. Moreover, the effect of fertilizer was obviously observed in the former. But in the latter case, both germination and growth tend to be fallen with the increase of fertilizer.

Determining the quality of eggs in general is used by placing eggs on a flashlight. The detection system is very necessary to determine good egg quality or rotten eggs, so that the conditions of the eggs can be known by the chicken farm company and then will be sold to the community. This egg detecting system utilizes several sensor devices that are combined. The sensor used to detect the quality of eggs is a light sensor and a heavy sensor by connected with a microcontroller. So that there is no ambiguity towards the decision making of good egg or rotten eggs, then processing the data is obtained from these sensors using Fuzzy Logic and Firebase methods in real time as data storage media, and actuators will distribute or separate good eggs or the rotten eggs one. With the development of technology now, we can use the Internet of Things (IoT) technology, one of the systems check the quality of eggs which are good or not good. This system is built using a microcontroller to coordinate the running of the system using the Fuzzy Logic Method that applies inside. Final information is obtained on the form of egg quality in real time. The test results were carried out using the Fuzzy Logic method and obtained 95% results from 20 eggs and had 1 wrong egg. When using system hardware without using the fuzzy logic method on the microcontroller that using only a light sensor and a heavy sensor it produces a result of 75% from 20 eggs and had 5 wrong eggs. Using the egg detection optimization method can be increased up to 20%.

PT Samudera Indonesia Tbk merupakan perusahaan yang bergerak dalam bidang jasa yang berupa logistik. Sebagai perusahaan jasa, sangat mengutamakan pelayanan terutama dalam memberikan layanan informasi kepada customer atau client. Namun, dalam sering terjadi masalah teknologi sistem informasi yang digunakan khususnya yang terjadi adalah server down. Hal ini disebabkan beberapa faktor tidak bisa diprediksi. Ditambah lagi perusahaan ini masih bergantung kepada peranan personil IT untuk menunggu penanganan kejadian server down. Upaya mengetahui tingkat kritis server adalah salah satu pencegahan atau mitigasi terhadap gangguan yang beresiko fatal terhadap proses bisnis perusahaan maka dibutuhkan sistem pendukung keputusan. Dalam penelitian ini, penulis membandingkan perhitungan metode logika fuzzy mamdani dengan metode fuzzy sugeno untuk mengukur tingkat kritis server yang digunakan PT Samudera Indonesia Tbk. Penelitian ini menghasilkan sebuah Prototipe yang dibangun dengan Matlab R2013a, dapat digunakan untuk menghitung tingkat kritis pada server. Prototipe tersebut menggunakan dua metode fuzzy mamdani dan fuzzy sugeno. Metode fuzzy mamdani memiliki akurasi rata-rata 85,21%. Dari perhitungan kedua metode tersebut, hasil nilai akurasi yang tertinggi akan dijadikan sebagai acuan dalammenentukan server yang kritis.Kata Kunci: SPK, Server, fuzzy mamdani, fuzzy sugeno, Matlab R2013a

The design of a Soil moisture monitoring system with the Smart Farming Concept for IoT-based Chili Cultivation is a system design tool used to monitor Soil moisture in cayenne pepper cultivation. The monitoring system can determine Soil moisture conditions by monitoring Soil moisture information using IoT-based Microcontroller technology so that farmers can monitor the growth of cayenne pepper plants without the need to come to the Greenhouse location to monitor. The design of this monitoring systemuses a Soil moisture sensor. Where the Soil moisture sensor works is to monitor in real-time the state of Soil moisture in a Greenhouse. The classification of Soil moisture on soil quality so that the growth of cayenne pepper plants does not experience problems for dry soil and 61% to 100% for wet soil. The optimal Soil moisture content for cayenne pepper plant growth is in the range of 60% to 70% moist. The program flow to create a Soil moisture monitoring system for IoT-based chili cultivation goes through 3 main stages, namely the initialization, setup, and loop stages so that it can produce a display on the Soil moisture monitoring system application in real time. The results of the design of a Soil moisture monitoring tool based on trials show the optimal Soil moisture value at an average humidity of 63.5% and automatic watering will be carried out by the system when the Soil moisture level decreases from 60% so that it can be concluded that the IoT- based Soil moisture monitoring system can work well.

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 patterns and the number of intervals when calculating data patterns and Sugeno has the disadvantage of having less stable accuracy results even though some tests have been able to get fairly accurate results. In research on the implementation of the Mamdani fuzzy inference system method using the climatological dataset of Blora Regency to predict rainfall, it can be concluded as follows: (1) The fuzzy logic of the Mamdani method can be used to predict the level of rainfall in the city of Blora by taking into account the factors that affect the weather, including temperature, wind speed, humidity, duration of irradiation and rainfall. (2) Fuzzy logic for prediction with uncertain input values is able to produce crisp output because fuzzy logic has tolerance for inaccurate data. (3) The results of the accuracy of calculations using the Mamdani fuzzy inference system method to predict rainfall in Blora Regency are 66%.

<p><strong>Agriculture is an important sector in the Indonesian economy, with vegetables such as mustard greens (Brassica juncea) that have high economic value and are important for the healthy diet of the community. One of the main challenges in mustard cultivation is the optimal management of soil moisture, as unstable moisture levels can affect the quality and quantity of the harvest. This research aims to design and implement an automatic irrigation system based on Internet of Things (IoT) technology using the ESP32 microcontroller and soil moisture sensors, as well as applying <em>Mamdani</em> <em>Fuzzy</em> logic to manage irrigation adaptively. This system is capable of increasing water usage efficiency by up to 50% by maintaining soil moisture at optimal levels, which positively impacts the growth of mustard plants. In addition, this system allows for remote monitoring through an IoT application, making it easier for farmers to manage irrigation more efficiently. The research results show that the implementation of this automated system not only reduces dependence on manual labor but also ensures more efficient water usage, thereby providing an innovative solution for irrigation efficiency in the agricultural sector<em>. </em></strong></p><p><strong><em>Keywords - </em></strong><em>ESP32, Mamdani Fuzzy,</em><em> </em><em>Smart Irrigation System</em><em>,</em><em> Soil Moisture.</em></p><p><strong><em><br /></em></strong></p>

To make clear the effect of soil moisture and air humidity on the absorption and translocation of nutrients, two experiments were carried out : in one experiment, plants were grown at various levels of soil moisture by sand culture method, and in another experiment, plants were grown under different air humidity during ripening period just after heading. The results obtained are as follows : : (1) Decrease in soil moisture retarded the absorption of SiO2 and P2O5, and increase in air humidity diminished the absorption of SiO2 and K2O. (2) It was inferred that both low soil moisture and high air humidity retarded the upward translocation of SiO2 and K2O within the plant through the decreased transpiration, causing the decrease in the ratio of SiO2 or K2O content of leaf blade to that of leaf sheath and also in the ratio of SiO2 or K2O content of leaf to that of stem and resulted in the decrease of SiO2 or K2O content of leaf blade. (3) The increased susceptibility to Helminthosporium leaf spot caused by low soil moisture and high air humidity was assumed to have an intimate relation with the low ratios of SiO2 and K2O to N in leaf blade tissue.

The effects of irrigation of spinach and parsley plants with copper solutions on plant growth and on metal uptake by plant were studied. Copper was found to inhibit the growth of spinach and parsley plants. The growth of spinach plants was more inhibited by treatment with copper than parsley plants. Both copper concentration and the total content of copper in treated plants increased with the increase of concentration of copper in solutions used for treatment. The copper content was highest in the leaves in comparison with the other parts of treated plants. Only very small portions of the added copper were allowed to be translocated from soil into plant.