Penerapan Finite State Automata Pada Vending Machine Parfum Laundry Pakaian

Abstrak: Parfum banyak digemari oleh berbagai kalangan, salah satunya adalah parfum laundry. Parfum laundry memiliki berbagai macam varian aroma, meliputi aroma buah, aroma bunga, aroma perpaduan buah dan bunga, dan aroma kayu-kayuan. Parfum laundry ini merupakan rangkaian akhir dalam proses laundry. Saat ini pelanggan menerima hasil laundry dengan aroma parfum yang dipilih secara random sesuai ketersediaan pihak laundry, hal ini menjadi masalah karena pelanggan tidak dapat memilih aroma parfum laundry sesuai dengan keinginan mereka. Dengan alasan tersebut maka diperlukan suatu rancangan sebuah Vending Machine (VM), rancangan VM ini menggunakan metode Finite State Automata (FSA) dengan jenis Non-Deterministic Finite Automata (NFA), metode tersebut digunakan karena dapat mengakomodir lebih dari satu kondisi dalam satu pilihan. Metode FSA jenis NFA dibuat dengan tahapan analisa proses bisnis, diagram state, desain VM dan pengujian. Hasil dari penelitian ini dengan adanya VM pemilihan parfum laundry pakaian, maka mempermudah pelanggan untuk dapat memilih parfum laundry sehingga pelanggan memperoleh hasil laundry dengan aroma parfum sesuai pilihan mereka. Kata kunci: finite state automata, parfum laundry, vending machine Abstract: Perfume is much favored by various circles, one of which is laundry perfume. Laundry perfume has a wide range of scent variants, including fruity scents, floral scents, fruity floral scents, and woody scents. This laundry perfume is the final line in the laundry process. Currently customers receive laundry results with perfume scents selected randomly according to the availability of the laundry party, this is a problem because customers cannot choose laundry perfume scents according to their wishes. For this reason, it is necessary to design a Vending Machine (VM), this VM design uses the Finite State Automata (FSA) method with the Non-Deterministic Finite Automata (NFA) type, this method is used because it can accommodate more than one condition in one choice. The FSA type of NFA method is made with the stages of business process analysis, state diagrams, VM design and testing. The results of this study with the VM in the selection of clothes laundry perfume, it makes it easier for customers to be able to choose laundry perfumes so that customers get laundry results with the perfume scent of their choice. Keywords: finite state automata, laundry perfume, vending machine

Global warming impairs chemical communication between plants and pollinators

Global warming is expected to have a great impact on floral scents and consequently, on the attraction of pollinators. While there is evidence that temperature affects the biosynthesis and emission of floral scents, the effects on chemically mediated pollinator behavior have not been assessed. Here, we show by chemical analytical, electrophysiological, and behavioral approaches that increased air temperatures affect the chemical communication between strawberry (Fragaria x ananassa) and its bee pollinators (Apis mellifera, Bombus terrestris, Osmia bicornis). Plants cultivated at increased temperatures released smaller amounts and a different composition of floral scent than plants cultivated at physiological optimum temperatures, which translated into a reduced attractiveness to pollinators. Our study highlights for the first time that increased temperatures negatively affect the chemical communication between plants and their pollinators. This raises important ecological and agricultural questions, as impaired communication between plants and their pollinators might result in insufficient pollination with negative consequences for ecosystem functioning and crop yields.

Floral Scents of a Deceptive Plant Are Hyperdiverse and Under Population-Specific Phenotypic Selection

Floral scent is a key mediator in plant-pollinator interactions. However, little is known to what extent intraspecific scent variation is shaped by phenotypic selection, with no information yet in deceptive plants. In this study, we collected inflorescence scent and fruit set of the deceptive moth fly-pollinated Arum maculatum L. (Araceae) from six populations north vs. five populations south of the Alps, accumulating to 233 samples in total, and tested for differences in scent, fruit set, and phenotypic selection on scent across this geographic barrier. We recorded 289 scent compounds, the highest number so far reported in a single plant species. Most of the compounds occurred both north and south of the Alps; however, plants of the different regions emitted different absolute and relative amounts of scent. Fruit set was higher north than south of the Alps, and some, but not all differences in scent could be explained by differential phenotypic selection in northern vs. southern populations. This study is the first to provide evidence that floral scents of a deceptive plant are under phenotypic selection and that phenotypic selection is involved in shaping geographic patterns of floral scent in such plants. The hyperdiverse scent of A. maculatum might result from the imitation of various brood substrates of its pollinators.

Floral scents of a deceptive plant are hyperdiverse and under population-specific phenotypic selection

ABSTRACTFloral scent is a key mediator in plant-pollinator interactions; however, little is known to what extent intraspecific scent variation is shaped by phenotypic selection, with no information yet in deceptive plants. We recorded 291 scent compounds in deceptive moth fly-pollinated Arum maculatum from various populations north vs. south of the Alps, the highest number so far reported in a single plant species. Scent and fruit set differed between regions, and some, but not all differences in scent could be explained by differential phenotypic selection in northern vs. southern populations. Our study is the first to provide evidence that phenotypic selection is involved in shaping geographic patterns of floral scent in deceptive plants. The hyperdiverse scent of A. maculatum might result from the plant’s imitation of various brood substrates of its pollinators.

Optimization of SPME–GC–MS and characterization of floral scents from Aquilegia japonica and A. amurensis flowers

Background The floral scents of plants play a key role in plant reproduction through the communication between plants and pollinators. Aquilegia as a model species for studying evolution, however, there have been few studies on the floral scents and relationships between floral scents and pollination for Aquilegia taxa. Methods In this study, three types of solid-phase micro-extraction (SPME) fiber coatings (DVB/PDMS, CAR/PDMS, DVB/CAR/PDMS) were evaluated for their performance in extracting volatile organic compounds (VOCs) from flowers of Aquilegia amurensis, which can contribute to the future studies of elucidating the role of floral scents in the pollination process. Results In total, 55 VOCs were identified, and among them, 50, 47 and 45 VOCs were extracted by the DVB/CAR/PDMS fiber, CAR/PDMS fiber and DVB/PDMS fibers, respectively. Only 30 VOCs were detected in A. japonica taxa. Furthermore, the relative contents of 8 VOCs were significant different (VIP > 1 and p < 0.05) between the A. amurensis and A. japonica. Conclusions The results can be applied in new studies of the relationships between the chemical composition of floral scents and the processes of attraction of pollinator. It may provide new ideas for rapid evolution and frequent interspecific hybridization of Aquilegia.

Planning considerations of green corridors for the improvement of biodiversity resilience in suburban areas

The world is experiencing a rapid loss in the biodiversity of pollinator insects. Habitat segmentation caused by infrastructures is one of the contributing factors. To improve the habitat connectivity of pollinator insects, it is proposed in this study to build green corridors for pollinators over linear infrastructures such as highways. In the context of suburban areas of a large city, this study examines differences in air parameters between natural environments and a roadside environment based on monitored and estimated data. Influences of different green corridor designs on floral scent dispersion are also investigated using computational fluid dynamics (CFD) modeling and simulation. It is found that, if flower plants are installed on highway overpasses, the floral scents would be better preserved as compared with those in a natural environment due to the lower concentrations of oxidative radicals in the air above highways. The stronger floral scents and their wider dispersion may help attract pollinators. Conversely, highway air contains a variety of volatine organic compounds (VOCs) that are traced to highway operations and pavements. Hence, the overall profile of VOCs in a highway environment differs from that in a natural environment. Results from CFD modeling and simulation suggest that the use of green corridors planted with flowers on the highway overpass can greatly improve the connectivity of floral scents. Hence, with proper engineering design and right combination of plant species, green corridors built on highway overpasses have the potential to facilitate pollinators to cross the road, thereby improving their habitat connectivity and resilience against declining biodiversity.

Planning considerations of green corridors for the improvement of biodiversity resilience in suburban areas

The world is experiencing a rapid loss in the biodiversity of pollinator insects. Habitat segmentation caused by infrastructures is one of the contributing factors. To improve the habitat connectivity of pollinator insects, it is proposed in this study to build green corridors for pollinators over linear infrastructures such as highways. In the context of suburban areas of a large city, this study examines differences in air parameters between natural environments and a roadside environment based on monitored and estimated data. Influences of different green corridor designs on floral scent dispersion are also investigated using computational fluid dynamics (CFD) modeling and simulation. It is found that, if flower plants are installed on highway overpasses, the floral scents would be better preserved as compared with those in a natural environment due to the lower concentration of oxidative radicals in the air over highways. The stronger floral scents and their wider dispersion may help attract pollinators. Conversely, highway air contains a variety of volatine organic components (VOCs) that are likely traced to highway operations and pavements. Hence, the overall profile of VOCs in a highway environment differs from that in a natural environment. Results from CFD modeling and simulation suggest that the use of green corridors planted with flowers on the highway overpass can greatly improve the connectivity of floral scents. Hence, with proper engineering design and right combination of plant species, green corridors built on highway overpasses have the potential to facilitate pollinators to cross the road, thereby improving their habitat connectivity and resilience against declining biodiversity.