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THE IMPLEMENTATION OF FAST METHOD FOR ACREDITATION FORM SUPPORTING DATA Widyawati, Dewi Kania; Zuriati, Zuriati
Prosiding International conference on Information Technology and Business (ICITB) 2016: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 2
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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The implementation phase at FAST method is established after the Construction Phase is already completed with a reference used in implementing the application based on use case, class diagram andactivity diagram fully designed at the previous phase.The testing conducted useswhite box testing. Of the advantages is when the application is tested, it can find out codes and strategies that take a role in developing the functions of each application module effectively. This seems to support the information system development with FAST method which one of its benefits to give a performance and accurate information. At this phase there are several things to test, namely: unit testing, static and dynamic analysis, scope of statement and mutation test. The case study used in implementing the application is the form supporting data at Lampung State Polytechnic.Keyword: class diagram , Construction Phase, FAST,Â use case, activity diagram, white box testing.

THE IMPLEMENTATION OF FAST METHOD FOR ACREDITATION FORM SUPPORTING DATA Dewi Kania Widyawati; Zuriati Zuriati
Prosiding International conference on Information Technology and Business (ICITB) 2016: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 2
Publisher : Proceeding International Conference on Information Technology and Business

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The implementation phase at FAST method is established after the Construction Phase is already completed with a reference used in implementing the application based on use case, class diagram andactivity diagram fully designed at the previous phase.The testing conducted useswhite box testing. Of the advantages is when the application is tested, it can find out codes and strategies that take a role in developing the functions of each application module effectively. This seems to support the information system development with FAST method which one of its benefits to give a performance and accurate information. At this phase there are several things to test, namely: unit testing, static and dynamic analysis, scope of statement and mutation test. The case study used in implementing the application is the form supporting data at Lampung State Polytechnic.Keyword: class diagram , Construction Phase, FAST, use case, activity diagram, white box testing.

Preliminary Investigation dan Requirement Analysis Phase untuk Membangun Aplikasi Borang Akreditasi Dewi Kania Widyawati; Zuriati Zuriati
Jurnal Ilmiah ESAI Vol 10 No 2 (2016)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v10i2.795

The FAST (Framework for the Application of System Thinking) method can be implemented in education in the accreditation application development process. The first stage of the FAST method of Preliminary Investigation and Requirement Analysis Phase is very influential in the next stage of Decision Analysis Phase as a spear to analyze the needs what is needed to build the forms of accreditation application. In the Preliminary Investigation and Requirement Analysis Phase stage, we can find out the information / data needed for each accreditation form standard, and can understand the ongoing system implemented in the form of mapping chart image. Keywords: Mapping Chart, Preliminary Investigation, Requirement Analysis Phase

The implementation of Software as a Service (SaaS) in the monitoring system of studentsâ€™ score at State Polytechnic of Lampung based on cloud computing Dewi Kania Widyawati; Zuriati Zuriati
Jurnal Ilmiah ESAI Vol 9 No 1 (2015)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v9i1.943

Lampung State Polytechnic is one of the Indonesian universities with a vision to be the best 5 of vocational campus in Indonesia in 2020. To achieve the vision, this campus needs the development in many aspects to improve the quality of the graduates to compete with other college graduates in Indonesia. One of the efforts to improve the quality of graduates is by increasing the competence of the student. To face these challenges, this campus must also prepare programs to monitor the competence scores of each student. Therefore, an application that is capable of monitoring the scores in detail is needed to facilitate the students, lecturers, students advisorsâ€™ and parents to see the development of the scores any time. The technology developed for this application uses cloud computing. The technology enable the user to access the information via the internet without having to know the technology infrastructure that helps in the process of accessing the data. The service model used in this system is software as service with system development method using Rapid Application Development (RAD). The database design uses normalization techniques and tested through black box testing method.Keywords: cloud computing, software as service, Rapid Application Development, Normalization Techniques, black box testing

Detecting Resemblance Of Orchid Plant Image Through Support Vector Machine (SVM) Of Kernel Linear Method Dewi Kania Widyawati; Zuriati Zuriati
Jurnal Ilmiah ESAI Vol 8 No 3 (2014)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v8i3.952

The research dealt with detecting resemblance of orchid plant image through Support vector machine (SVM) of Kernel Linear method. With one versus rest modeling, the images were taken by using single type camera Canon S550D. The use of trial data and test data varied into for ratio types namely : 50% trial data - 50% test data , 60% trial data - 40% test data , 70% trial data - 30% test data , and 80% trial data - 20% test data. The extract of texture features was done with combining operator circular neighborhood (8,1) and (8,2) and concatenation done through fuzzyfication. The research aimed to (1) design a program to detect the resemblance of orchid plant image (2) implement Support Vector Machine kernel Linear method with one versus Rest model to identify the image of orchid plants both with and without flowers (3) analyze distribution level of accuracy of the four trial and test data examined from each specimen. (4) Analyze resemblance of orchid plant image through Support Vector Machine kernel Linear with one versus Rest model. The research was carried out through: (1) collecting the image and praposes (2) extracting the textures, (3) classifying the Support Vector Machine kernel Linear, (4) data testing and (5) evaluating classification result. The main target of the research is to find out a system to detect the resemblance of orchid plants both with and without flower.Keywords: circular neighborhood, one versus rest, Support Vector Machine kernel Linear

Android based Agriculture products price information system Zuriati Zuriati; Dewi Kania Widyawati
Jurnal Ilmiah ESAI Vol 8 No 2 (2014)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v8i2.963

The research is to design the price information system of agriculture products with Android technology basis. The system is useful for the farmers, society or any agribusiness people in getting agriculture product price information. the users are classified according to their accessibility right which are society users that only to access the price information, the users plus group that have the right to provide the price information and the administrator group that have full authority towards the system. The administrator can accept or deny the information provided by the user plus group. The system is developed in accordance with the stages of system/development life cycle (SDLC) through waterfall method. The stages are: analyzing stage to learn the functional and non functional system needs; designing system to design the physical system, logic and interface ; implementing stage that cover the implementing the programming language â€“ Java , and android operating system; assessing stage to assess the system through Black Box testing and; maintaining stage to maintain the system. The assessment result indicates that the system works well; every button designed can function as expected. The test by users also shows that they get the easy access to the information. The users can easily understand the operating manual of the system as it is user frendly and equippped with product pictures visualization. In the future, it is suggested that the system come complete with more agricultural information as horticulture, plantation, fisheries, and livestock.Keywords: Android, Black Box, agriculture product price, informtion system, SDLC

Sistem Otomasi Penyiraman Bibit Tanaman Berbasis Programmable Logic Controller (PLC) Dwirgo Sahlinal; Zuriati Zuriati; Dewi Kania Widyawati
Jurnal Ilmiah ESAI Vol 1 No 1 (2007)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v1i1.1367

The watering of plants seeds could be carried out automatically by using technology development of Programmable Logic Controller (PLC). PLC is a control system that can be programmed in controlling and organizing the watering of plants seeds. It is also can be arranged according to the need of water in each step of seed growth until the plants completed mature. By using sensor to measure the water humidity and timing program to organize water pump in controlling watering process so that the seeds are not water accessed, therefore the seeds growth could be optimal.Â Kata Kunci:Â PLC, penyiraman bibit tanaman

Classification of Orchid Types using Random Forest Method with HOG Features Arifin, Oki; Widyawati, Dewi Kania; Zuriati, Zuriati; Maulini, Rima; Sahlinal, Dwirgo; Sylvia, Sylvia
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Orchids are one of the Indonesian people's most widely cultivated ornamental plants. Orchids are a family ofplants in the Orchidaceae family that includes more than 700 genera and around 28,000 individual species. In terms ofplant morphology, orchids can be distinguished based on the morphology of flowers, leaves, fruits, stems, and roots.Orchid leaves have their characteristics for each type of orchid, such as long, round, or lanceolate. All orchids have leafveins that are parallel to the leaves. This makes it difficult to identify the type of orchid flower, especially for laypeopl ewho are new to orchid cultivation and do not yet know the characteristics of various kinds of orchids. The individualshapes of orchid leaves can be classified using Random Forest and Histogram of Oriented Gradients (HOG). In thisstudy, three types of orchids that are currently popular with orchid lovers were used, namely Cattleya, Phalaenopsis, andVanda orchids taken from public data. The accuracy of this method in classifying orchid types based on leaf morphologycan be measured using a confusion matrix that measures accuracy, precision, recall, and F1-score. The test results showthat this method successfully achieved an accuracy of 98%, with an average precision, recall, and F1-score of 0.98 each.These findings indicate that the model built can classify orchid species with a high level of accuracy based on leafmorphology.

Classification Of Nutrient Deficiency In Lettuce Plants (Lactuca Sativa ) Using Machine Learning Algorithm Zuriati , Zuriati; Widyawati, Dewi Kania; Saputra, Kurniawan; Arifin, Oki
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Plants require appropriate nutrients or nutrients for their growth and development. Inappropriate nutrient levelscan interfere with the plant growth process, resulting in less-than-optimal harvest results. Therefore, it is very importantfor farmers to know the nutrient levels of their plants, neither excessive nor lacking. Identification of nutrient deficienciesin plants such as Lettuce (Lactuca Sativa) traditionally requires careful observation of the physical characteristics of theplant, which is often long-drawn out and stand in need of a high level of accuracy. Leaf color is often used as an indication,for example if it is pale or yellow it can indicate a lack of nitrogen or iron. This requires expertise and experience incultivation for lettuce cultivators. So, a tool is needed that can identify nutrient deficiencies accurately, quickly, and easily.This study aims to overcome this challenge, namely identifying nutrient deficiencies in lettuce plants. This approach utilizesmachine learning technology to distinguish four main classes of deficiencies, namely: nitrogen (N), phosphorus (P), andpotassium (K), as well as normal or healthy lettuce leaf conditions. The proposed research method consists of the followingstages: 1). Lettuce leaf image dataset collection, 2). Preprocessing dataset, 3). Implementation of machine learning usingthe Support Vector Machine (SVM) algorithm. In the implementation of SVM, experiments were carried out by applyingvarious SVM kernel spesifically: Linear, Polynomial, Radial Basis Function (RBF), and Sigmoid, 4). Evaluation of modelperformance. Model performance was evaluated by measuring its level of accuracy in classifying nutrient deficiencies inLettuce leaf image data. The results of the experiment showed that SVM with the RBF kernel had the best accuracy, namely:92%. The findings of this study provide valuable insights into the effectiveness of machine learning approaches inclassifying nutrient deficiencies in Lettuce plants. This study can help farmers to optimize their crop production moreefficiently and accurately.

The Implementation of Internet of Things (IOT) for Aquaponic Cultivation Zuriati, Zuriati; Widyawati, Dewi Kania; Dulbari, Dulbari; Zarnelly, Zarnelly
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 10, No 2 (2024): December 2024
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v10i2.29541

Aquaponic is a plant cultivation technique that is widely used by farmers and today’s communities due to its efficiency and ability to increase the agricultural productivity. The aquaponic cultivation in general still uses simple systems, such as manually feeding the fish by spreading the feed at predetermined times, monitoring water pH using a pH meter and monitoring water height or level through measurements, requiring farmers to spend time and special labor to care for and maintain plants and fish. Therefore, a solution is needed in the form of a system that can monitor and control plants and fish conditions automatically and continuously for 24 hours. The system should have the ability to control and monitor feeding activities, water pH, water and environmental temperature, water level and environmental humidity. The system in question is the internet of things (IoT) system that can be used as a tool for automatic control and monitoring through an application. The IoT system consists of several sensors that are connected to a microcontroller which can measure water pH, temperature, water level and environmental humidity. The data obtained by the sensor will be sent to a server via Wi-Fi protocol and stored in a database. The system is equipped with a web application that can be accessed through a computer device. The application provides a visual display of data: time, water pH, temperature, water level and environmental humidity, making it easier for farmers to monitor aquaponic conditions from a distance without having to come to the land. Through the implementation of IoT in aquaponic cultivation, farmers can increase efficiency and agricultural productivity by reducing the time, labor and costs required for control and monitoring.

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