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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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Abstract

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.
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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Abstract

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.
Perbandingan Kinerja Fungsi Kernel Algoritma Support Vector Machine Pada Klasifikasi Penyakit Padi Kurniawan Saputra; Zuriati Zuriati; Sriyanto Sriyanto
TEKNIKA Vol. 17 No. 1 (2023): Teknika Januari - Juni 2023
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7996483

Abstract

Penelitian ini bertujuan untuk mengukur dan membandingkan kinerja fungsi kernel algoritma Support Vector Machine (SVM) pada klasifikasi penyakit tanaman padi. Fungsi kernel yang dibandingkan adalah : linear, polinomial, RBF, dan sigmoid. Tahapan penelitian: 1) Pengumpulan data penyakit tanaman padi, 2) Melakukan data embedding, 3) Pembagian data testing dan training yang dikelompokkan dalam beberapa perbandingan yaitu: 60%:40%, 70%:30%, 80%:20%, dan 90%:10%, 4) Evaluasi menggunakan matrik konfusi, untuk mendapatkan nilai akurasi, presisi, dan recall. Hasil penelitian menunjukkan nilai akurasi tertinggi 89% pada fungsi kernel linear untuk komposisi data 70%:30% dan polinomial untuk komposisi data 80%:20%. Nilai akurasi terendah pada fungsi kernel RBF dengan komposisi data training dan testing 80%:20% dan 90%:10% senilai 38%. Presisi terbaik pada fungsi kernel linear 90% untuk komposisi data 70%:30%. Nilai presisi terendah pada fungsi kernel RBF dengan komposisi data training dan testing 80%:20% senilai 41%. Untuk recall terbaik 89% pada fungsi kernel linear untuk komposisi data 60%:40%, 70%:30%, dan 80%:20%. Nilai recall terendah pada fungsi kernel RBF dengan komposisi data training dan testing 80%:20% dan 90%:10% senilai 38%. Penelitian ini menyimpulkan bahwa SVM dengan fungsi kernel linier memberikan hasil yang baik untuk klasifikasi penyakit tanaman padi.
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

Abstract

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 students’ 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

Abstract

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 advisors’ 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

Abstract

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

Abstract

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 – 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

Abstract

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. Kata Kunci:  PLC, penyiraman bibit tanaman
Implementasi Pemasaran Digital untuk Peningkatan Daya Saing pada Komunitas Gerakan Seribu Tangan Kreatif Lampung Zuriati Zuriati; Oktaf Rina; Nurul Qomariyah; Sriyanto Sriyanto
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 3 (2024): Juni 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i3.7610

Abstract

Abstrak - Untuk memenuhi kebutuhan pasar yang selalu berubah, terutama di era teknologi ini, maka UMKM perlu melakukan inovasi di bidang pemasaran, misalnya dengan menggunakan pemasaran digital, yang dilakukan untuk meningkatkan daya saing dan memastikan bahwa perusahaan dapat bertahan dan berkembang.   Tujuan penelitian ini adalah mengimplementasikan aplikasi pemasaran digital berupa website e-commerce untuk Komunitas Gerakan Seribu Tangan Kreatif Lampung. Pengembangan aplikasi pemasaran digital membutuhkan proses yang cepat dan efektif. Teknik pengembangan perangkat lunak Rapid Application Development (RAD) dipilih untuk  digunakan pada pembuatan aplikasi ini, karena terbukti sangat efektif. Tahapan pengembangan dengan teknik RAD adalah:  requirements planning, user design, construction, dan cutover. Pada tahap requirements planning, dilakukan pengumpulan data  melalui pengamatan, wawancara, dan analisis dokument. Tahap user design  menghasilkan use case diagram, class diagram, dan activity diagram. Tahap construction  adalah tahap pembuatan aplikasi menggunakan PHP dengan framework CodeIgniter 4 dan basisdata MySQL. Pada tahap ini, pengembang melakukan pengkodean, pengujian unit, dan integrasi modul untuk memastikan aplikasi berfungsi sesuai dengan spesifikasi. Tahap cutover melibatkan pengujian sistem keseluruhan menggunakan metode blackbox testing. Hasil pengujian aplikasi menunjukkan bahwa penerapan metode RAD dapat mempercepat siklus pengembangan, meningkatkan fleksibilitas, dan meningkatkan kualitas aplikasi pemasaran digital.Kata kunci: Inovasi Pemasaran, Pemasaran Digital, Rapid Application Development, UMKM. Abstract - To meet the ever-changing market demands, especially in this digital era, MSMEs need to innovate in marketing by implementing digital marketing to sustain their businesses. The objective of this research is to implement a digital marketing application in the form of an e-commerce website for the Gerakan Seribu Tangan Kreatif Lampung Community. The development of a digital marketing application requires a fast and effective process. The Rapid Application Development (RAD) software development technique was chosen for the creation of this application because it has proven to be quick and effective. The stages of RAD are: requirements planning, user design, construction, and cutover. In the requirements planning stage, data collection is conducted through observation, interviews, and document analysis. The user design stage results in use case diagrams, class diagrams, and activity diagrams. The construction stage involves the development of the application using PHP with the CodeIgniter 4 framework and MySQL database. In this stage, developers perform coding, unit testing, and module integration to ensure the application functions according to specifications. The cutover stage involves testing using the black box testing method. The results of application testing show that the implementation of the RAD method can accelerate the development cycle, increase flexibility, and improve the quality of the digital marketing application.Keywords: Marketing Innovation, Digital Marketing, Rapid Application Development, UMKM.
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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Abstract

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.