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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) AL-ISHLAH: Jurnal Pendidikan JURNAL TEKNOLOGI DAN OPEN SOURCE JURNAL SIMTIKA (Sistem Informasi dan Informatika) Jurnal Riset Informatika
Vitriani Vitriani
Universitas Muhammadiyah Riau
Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

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ANALISIS DAN PERANCANGAN SISTEM INFORMASI PELAYANAN ADMINISTRASI PUBLIK MENGGUNAKAN UNIFIED MODELING LANGUAGE (UML) Vitriani Vitriani; Finanta Okmayura; Robby Satria
Simtika Vol. 5 No. 1 (2022): JURNAL SIMTIKA, JANUARI 2022
Publisher : Fakultas Ilmu Komputer Universitas Dharmas Indonesia

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Abstract

Penelitian ini membahas tentang perancangan sistem informasi pelayanan administrasi publik menggunakan Unified Modelling Language (UML) Sistem ini dirancang atas dasar banyaknya permasalahan yang ada pada pelayanan administrasi publik di kantor desa atau nagari seperti sekretaris desa atau nagari tidak berada di tempat pada saat masyarakat membutuhkan surat keterangan tidak mampu untuk mengajukan beasiswa anaknya. Sistem ini dirancang menggunakan model Unified Modelling Language (UML). Dengan adanya sistem ini diharapkan permasalahan pelayanan administrasi publik di kantor desa dan nagari dapat teratasi dan kinerja perangkat desa dan nagari bisa lebih maksimal.
DESIGN OF EXPERT SYSTEM FOR IDENTIFY ANXIETY DISORDER USING FORWARD CHAINING Finanta Okmayura; Vitriani Vitriani; Melly Novalia
Jurnal Riset Informatika Vol 3 No 3 (2021): Period of June 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.697 KB) | DOI: 10.34288/jri.v3i3.246

Abstract

Anxiety is an excessive anxiety disorder in psychology. People are basically not aware that they may have symptoms of this anxiety disorder in each of them. And if not treated as soon as possible can interfere with a person's psychological condition. It may seem trivial but this disorder can reduce performance so that it has an impact on a person's life. To overcome this problem, we need an expert system that can identify anxiety disorders. This system is designed using UML (Unified Modeling Language) diagram modeling. The purpose of this UML modeling is to describe the user's needs for the system and what things can be done by the system, so that with this UML modeling the entire system picture can be seen. The UML modeling for the expert system for early identification of anxiety disorders is expected to be a tool that can assist the process of making the system, where people can check whether they suffer from anxiety disorders or not to consult a psychologist.
PERANCANGAN E-TOURISM UNTUK MENINGKATKAN PARIWISATA DI KOTA SAWAHLUNTO Gunawan Ali; Dwi Winarti; Vitriani Vitriani; Finanta Okmayura; Robby Satria
Simtika Vol. 5 No. 2 (2022): JURNAL SIMTIKA, MEI 2022
Publisher : Fakultas Ilmu Komputer Universitas Dharmas Indonesia

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Abstract

Sistem Informasi Pariwisata Berbasis Web Sebagai Media Promosi Kota Sawahlunto ini digunakan sebagai alat bantu penyampaian informasi kawasan wisata, penginapan dan tempat-tempat kuliner yang ada di Kota Sawahlunto. Sistem Informasi ini merupakan salah satu bentuk promosi pariwisata yang ada di Kota Sawahlunto, agar menarik para wisatawan yang ingin dikunjung ke Kota Sawahlunto. Penelitian ini diharapkan dapat bermanfaat sebagai media informasi dan promosi wisata yang ada di Kota Sawahlunto, sehingga masyarakat luas akan semakin mengenal tempat-tempat wisata yang ada di Kota Sawahlunto. Sistem informasi pariwisata berbasis web sebagai media promosi Kota Sawahlunto dibuat dengan menggunakan bahasa pemrograman PHP, dengan database MySQL
Analysis of Desktop-Based Interactive Learning Media Using Smart Apps Creator App For Computer Recognition In SDN 006 Tempuling Vitriani Vitriani; Rahmad Al Rian; maria marta rina
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2551

Abstract

Computer recognition is very important and needs to be taught to students. Especially among learners in primary level se Kolah, in reality there is still a great lack of computer recognition and a delay among students in getting to know computers. The results of the observations made by the students were very difficult and confusing in using computers to complete computer-based national assessment questions, so in this activity the accompanying teacher asked the questions. This research aims to assist students in learning about the community for conducting computer-based national assessment activities for conducting computer-based national assessment activities using a learning medium. The research method used is the research and development (R&D) method and the development model using the ADDIE model which has five phases, namely analysis, design, development, implementation and evaluation. Data is collected using a questionnaire (Likert scale). The results of the evaluation of the desktop-based learning media for computer recognition were tested by media experts. The materials expert received a score of 88% in the 'very decent' category and the media expert received a score of 84% in the 'sanguine' category, while the student respondent test received a score of 80 in the 'excellent' category. Based on the research findings, it was concluded that interactive learning media for computer recognition is highly applicable to SDN 006 Tempuling.
LSTM Network Hyperparameter Optimization for Stock Price Prediction Using the Optuna Framework Edi Ismanto; Vitriani Vitriani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i1.24944

Abstract

In recent years, the application of deep learning-based financial modeling tools has grown in popularity. Research on stock forecasting is crucial to understanding how a nation's economy is doing. The study of intrinsic value and stock market forecasting has significant theoretical implications and a broad range of potential applications. One of the trickiest challenges in projects involving deep learning and machine learning is hyperparameter search. In this paper, we evaluate and analyze the optimal hyperparameter search in the long short-term memory (LSTM) model developed to forecast stock prices using the Optuna framework. We examined a number of hyperparameters with several LSTM architectures, including optimizers (SGD, Adagrad, RMSprop, Nadam, Adamax, dan Adam), LSTM hidden units, dropout rates, epochs, batch size, and learning rate. The results of the experiment indicated that of the four LSTM models tested—model 1 single LSTM, model 2 single LSTM, model 1 LSTM stacked, and model 2 LSTM stacked—model 1 single LSTM was the most effective. Single LSTM version 1 offers the lowest losses when compared to other models and had the lowest root mean square error (RMSE) score of 7.21. When compared to manual hyperparameter tuning, automatic hyperparameter tuning has lower losses and is better.
Teaching Factory Model Using Flipped Classroom and Knowledge Management System Based in Improving 21st Century Competencies in Vocational High Schools Vitriani Vitriani; Finanta Okmayura; Gunawan Ali; Robby Satria
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 2 (2023): Issue In Press
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i2.3785

Abstract

The students in Vocational High Schools are demanded to have skills and competencies to face the world industry, but sadly many Vocational School Graduates have the incompatibility of skills and competencies, which seriously causes high unemployment rates. Therefore, an effective learning model needs to be implemented to overcome this problem. This research aims to produce a Teaching Factory Model Using Flipped Classroom and Knowledge Management System (KMS) Based. Providing a learning model that can be a solution to increase the competence of vocational students in meeting the needs of the industrial world and the business world in facing challenges in the Revolution 4.0 era. The research methodology used is Research and Development with ADDIE stages. This research produces a Model Teaching Factory based Flipped Classroom and Knowledge Management System. Based on the study results, the learning model teaching factory based Flipped Classroom and Knowledge Management System valid, practical and effective in Enhancing 21st Century Competencies in Vocational High Schools. The renewal of the model is designed to calibrate the Teaching Factory model based on Flipped Classroom and Knowledge Management System, a 21st century competency needed by the industrial world.
Co-Authors Dwi Winarti Edi Ismanto Finanta Okmayura Gunawan Ali Gunawan Ali maria marta rina Melly Novalia Rahmad Al Rian Robby Satria