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Ilwan Syafrinal
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JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Published by Universitas Universal
ISSN : -     EISSN : 27986179     DOI : 10.63643/jodens.v5i1.299
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal ini mencakup seluruh konsep teoritis dan aplikasi informatika/komputasi dalam Membangun Ekosistem Digital untuk Kelestarian Alam (dunia), yang meliputi, namun tidak terbatas pada: Artificial Intelligence Big Data Bioinformatics Game Development Geographical Information Systems Image Processing Information Systems Internet of Things Multimedia Engineering Software Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 15 Documents
 1   2 
Search results for , issue "Vol 1 No 2 (2021): Desember 2021" : 15 Documents clear
Analisis dan Perancangan Sistem Informasi Persediaan Barang Toko Lingga Dengan Metode Waterfall Windy; Liu, Evelyn
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.30

Abstract

Toko Lingga is one of the local stores based in Batam City that focuses on selling building materials needs fast and easy information systems to fulfill the operational needs. At this moment, Toko Lingga still doesn't have a convenient way of recording and collecting data in the inventory system. To know the available stocks, the administration needs to go to the warehouse to check the available stocks one by one. Because of that, information that needs to be shared with other parties is hard to give and not accurate. To support this research, researchers use a Software Development Lifecycle (SDLC) with the waterfall method, also with ERD and UML. With this information system based on the android app, Toko Lingga will have a better way to collect information in a short moment and accurate data.
Rancang User Interface Media Pembelajaran Berbasis Website Untuk Mata Kuliah Animasi Komputer Lie, Ezekiel Agatan; Mandala, Ricky; Whisly
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.31

Abstract

At this time, the growth of knowledge is increasing rapidly, as well as technology. In today's world of education, learning media has become one of the best tools for carrying out the teaching and learning process. Learning Media can be an attraction for readers or college students. However, to attract the attention of readers, the user interface is the one that we can use in learning media systems, especially website-based. In this research, it’s necessary to use the Design Thinking method that focuses on human-centered design to obtain some information and data about the needs or desires of readers so we can remake the user interface according to the suggestion from the readers. The user interface of the learning media is created as a website-based for the Computer Animation courses where students are not satisfied enough with the material and learning methods. In this learning media, the knowledge of animation is available that they can see it in the form of text, images, videos, and animations.
Rancangan UI/UX Aplikasi Analytics Pada Toko Online Wao.Sneakers Menggunakan Aplikasi Figma Avindra, Andre; Cahyani, Chentia Metta; Ningsih, Linda Ratu
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.35

Abstract

Instagram social media is used by wao.sneakers as a medium to market products and aims to make it easier for consumers or potential buyers to find information about the product to be purchased and also aims to facilitate transactions. Product posts and follower count, is one indicator that can affect the trust and buying interest of a consumer. The purpose of this research is to design a attractive, easy to use and modern UI/UX for an analytics application for wao.sneakers. So that it can increase engagement which has an impact on increase the trust and buying interest of a consumer. The data needed in designing the UI/UX design is obtained by conducting interviews directly with the owner, namely Chathrine. In designing this UI/UX, the editing software used is Figma. With this research is expected to facilitate wao.sneakers in designing a mobile-based analytics application.
Rancang Purwarupa Aplikasi Pendukung Keputusan Pemilihan Jurusan Bagi Mahasiswa dengan Pendekatan Design Thinking Michael; Charlitos, Ralfpiere; Sudiono; Thang, Susanti
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.36

Abstract

The purpose of this study is to design an application prototype that can help all the incoming student to know their inner self and choose the best major according to their skill. This research is a qualitative research with a Design Thinking approach. The Design Thinking approach has five stages namely emphatize, define, ideate, prototype, and test. Design Thinking Approach is an approach used to create innovation by focusing on "Human Centered Design". Data collection methods that going to be used in this study are online survey. The end result of this study are the ARJUS prototype application which has four main function, namely personality test, major recommendation, university recommendation, scholarship information.
Rancangan Bangun Sistem Informasi Geografi Menggunakan Google Fusion Tables API Untuk Pengaduan Kerusakan Jalan Widodo, Wahyu; Nugroho, Wawan Cahyo
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.37

Abstract

Roads are one of the lifeblood infrastructure of the community in carrying out activities and driving the wheels of the economy through regional development and forming a spatial structure in order to realize national development goals, so that the level of urgency is high. Damage to road infrastructure is one of the contributors to traffic accidents, especially during the rainy season. The relevant government agencies already have information and complaints service units, but there is no system that makes it easier for the public to report road damage that is more specific with maps and location coordinates. Research on the design of a road damage Geographic Information System (GIS) called MySIGSAG to make it easier for the public to report road damage. The results of this study are a web-based and mobile Android GIS program with the name MySIGSAG. Consists of a public panel that contains the home page, splashscreen, and main menus such as reports, map checks, chart checks, and info. In addition, the admin panel contains the main page for managing content. The Relevant government agencies can present comprehensive road damage reports and provide convenience for the public in submitting reports and monitoring the development of road conditions.
Implementasi Regresi Linear Untuk Memprediksi Hasil Impor Jumlah Barang Konsumsi Tahun 2021-2036 Anthonius; Luise, Charles Calvin King; Prisselix, Juven
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.38

Abstract

Import is a very important activity for a country and the value always changing every year, this thing can affect the foreign exchange of a country. When a country consumed a lot goods, it resulted in the country to do a lot of import activity as well. By doings so, the economy would be unbalanced and so the country will has a lot of debts. With that in mind, predicting the import activity in the future can be essential to prevent the country from being unbalanced in terms of economy. The purpose of this research is to predict the future import activity by using Linear Regression Algorithm and applying Cross-Industry Standard Process for Data Mining (CRISP-DM) method. This method uses to find the value of regression equation, as well as getting error analysis through accuracy of predictions using MAD, MSE, and MAPE using R. Studio software. The results that was obtained for 2021 amounted to 6745.298 tons and 2022 amounted to 6578.703 tons. As for the resulting error analysis, MAD value is 2652.901, MSE value is 10002316 and MAPE value is 255.17%.
Penerapan Teknik Data Mining Untuk Memprediksi Jumlah Penumpang Pesawat Pada Bandara Indonesia Subandi, Anriestito Verdwiansyah R.; Gunawan, Hary; Supriyanto, Kiven Lorenza
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.40

Abstract

The purpose of this research is to predict how many plane passengers on the airport Soekarno Hatta and Ngurah Rai with the data obtained on 2017 - 2021. On this research, this study will compare the dataset that this study acquired before from BPS, to predict the amount of the passengers on airport Soekarno Hatta and Ngurah Rai, this study will be using a software called RStudio and try to execute with simple linear regression method. The information from prediction and research can be used or changed by anyperson of importance such as for promotion, advertisement, as well as the usage on RStudio.
Penerapan Simple Linear Regression Untuk Memprediksi Jumlah Kasus Covid Di Indonesia Kurniawan, Agus; Kokanda, Kurniawan; Winderson
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.41

Abstract

The rapid spread of covid has had many impacts on all people in the world. In Indonesia, the first case of COVID-19 was found in March 2020 and continues to spread until now. Many government efforts started from PSBB to PPKM and also several regulations in it to prevent the spread of this virus. So, by using the RStudio program and trying to execute the spread of COVID-19data with this simple linear regression method to predict the number of COVID-19cases to find out whether there will be a case increase in Indonesia on a certain date. Besides that, the result of the predicted data can be used for any purpose or it can also use to compare predictive data with actual data.
Analisis Penggunaan Instagram sebagai Media Pemasaran Pada Perusahaan DE Plafon Rio, Firstan; Paramita, Mellita; Thang, Susanti
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.42

Abstract

This study aims to determine the use of Instagram as marketing for DE Plafon company. Qualitative methods were used in this study, with data sources derived from primary data that used observation methods and secondary data that used interview methods. Observation was used to gain October and November 2021 insight data such as Profile Activity, Content Reach, and Reached Audience from DE Plafon Instagram, while interview was used to gain data about DE Plafon from one of the DE Plafon employees. The end result of this study is to showed how effective Instagram as marketing for DE Plafon and suggestion for DE Plafon.
Implementasi Text Mining untuk Mengetahui Kata Abreviasi dalam Percakapan Media Sosial Yunarfi, Geovaldo Reggie; Simdy, Ricky; Jackson
Journal of Digital Ecosystem for Natural Sustainability Vol 1 No 2 (2021): Desember 2021
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v1i2.43

Abstract

Social media are technology that allow sharing or exchange of information, ideas, interests, etc., via virtual communities and networks. Social media is often use for chatting either private chat or commenting on posts, and most frequently used application in Indonesia such as Facebook, WhatsApp, Instagram, Twitter, and so on. So far, peoples are typing using abbreviations as habit instead using full word and thus cause misunderstanding for others. Descriptive qualitative method was used to collect data. Text mining is a data science technique which mine data in the form of text and look for words that can represent or analyze the content of the document, and by using network of terms that can build a graph for knowing interactions between words in document. In this study, with implementing data preprocessing in text mining process is expected to reduce word or text that are not necessary, which made analyze easier to find out abbreviations within captions or comments.

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