cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. jember,
Jawa timur
INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 219 Documents
 14   15   16   17   18 
Analisis Sentimen Opini Publik Terhadap Pekan Olahraga Nasional Pada Instagram Menggunakan Metode Naïve Bayes Classififer Priza Pandunata; Caesarina Kurnia Ananta; Yanuar Nurdiansyah
INFORMAL: Informatics Journal Vol 7 No 2 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i2.33928

Abstract

National Sports Week (Pekan Olahraga Nasional) held in October 2021 in Papua has brought many pros and cons from the public. This topic allows public for give criticism, suggestions, and opinions about the National Sport Week 2021. Instagram in one of social media that popular place for deliver public opinion. The process of sentiment analysis can find and solve problems based on public opinion on social media such as Instagram. The classification method used in this research is Naïve Bayes Classifier. The dataset can be obtained from data crawling process using the google chrome extension: IGCommentExport. The data the labelled as positive, neutral, or negative. The labelling process result showed 965 negative data, 256 neutral data, and 770 positive data. Then pre-processing is carried out on the data that has been labeled before, also word weighting process using TF-IDF. After that modelling is carried out using Naïve Bayes Classifier and the last process is evaluation-testing. The high accuracy of the result from fourth experiment which compare 90% data training with 10% data testing produce 75% accuracy. While the result of sentiment test show that negative sentiment more than positive sentiment and neutral sentiment.
Sistem Informasi Retribusi Terminal Berbasis Website Suharsono Bantun; Jayanti Yusmah Sari; La Ode Hasnuddin S. Sagala; Hardianti Hardianti; Selviani Selviani
INFORMAL: Informatics Journal Vol 7 No 2 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i2.31417

Abstract

Retribution information system is very important and indispensable in a terminal. At the Sabilambo Kolaka Terminal, especially in recapitulating retribution income data, they still use recording in the ledger, this makes it difficult for terminal officers to make a report so that the process for reporting terminal retribution income data to the Transportation Office in its implementation is still not optimal and over time there are losses and losses. data collection in the form of sheets of paper. Based on these problems, the researchers conducted a study with the title "Case Study Terminal Retribution Information System: Sabilambo Terminal". The information system is made using HTML, CSS, Javascript and the PHP programming language and MySQL as the database and data management process. The results of this study can be concluded that the system created works well and meets the requirements of the Sabilambo terminal. This can be seen from the survey results obtained from the questionnaire (93.53), indicating a value. A (very good).
Manajemen Risiko Default Pada Pengguna Kartu Kredit Menggunakan Framework NIST 800-30 Agus Eko Musantono; Atina Khoiron Nisa; Ashlih Qurota A’Yuni; Haniful Umam
INFORMAL: Informatics Journal Vol 7 No 2 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i2.34821

Abstract

The emergence of credit cards as one of the earliest fintech technologies capable of providing benefits to customers or users, the maturity of the system in its application is very important because it is related to user data. Several problems arise including carding crimes or problems from the users themselves. This study aims to determine demographic factors with the effect of using credit cards. Demographic factors (gender, age, marital status and academic) are related to usage activities as well as in paying off credit card bills. Quantitative research is carried out using available datasets. from the dataset will be processed and the required part will be taken. By using the NIST 800-30 framework, it is hoped that it can assist in risk management and assessment, then it will lead to risk tendencies in using credit cards. The final result of the study show that demographic factors including age, academic and marital status able to show the affect activities in paying credit card bills and the reliability of the credit card issuer's system can reduce the impact of default on credit card users.
Hasil Keputusan Nilai Preferensi Metode Simple Additive Weighting Terhadap Rekomendasi Wisata Sejarah di Kepulauan Seribu Fata Nidaul Khasanah; Timorora Sandha Perdhana; David Nurmanto
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.35130

Abstract

One of the great potentials that can improve the economy of local communities is development in the tourism sector. Kepulauan Seribu is an archipelago area in the north of Jakarta, this area has tourism potential in the form of a cluster of islands. This group of islands has different characteristics to be used as a tourist attraction, including marine tourism, historical tourism and nature reserve tourism (conservation). Historical tourism in the Kepulauan Seribu has its own charm judging from the historical relics of the Netherlands before Indonesian independence. Islands that have historical tourism potential are the reason for conducting research related to the selection of tourist destinations in the Kepulauan Seribu, such as Kelor, Onrust and Cipir island. The obstacles of the community in finding the right tourism potential are still lacking information from the aspects of attractions, accessibility and facilities. To assist tourists in choosing a place, a decision support system is needed that can be completed using the Simple Additive Weighting method. There are five assessment criteria including scenery, photo spots, transportation, toilets and places to eat/resto. Determination of weights on criteria using a statistical approach from the questionnaire results shared with a likert scale. The result of the preferred tourist recommendation preference value is the island of Kelor because there are seven highest scores obtained by the island compared to Onrust island and Cipir island.
Sistem Kontrol Kualitas Air pada Akuaponik Ikan Nila dan Cabai Rawit Berbasis Embedded System menggunakan Fuzzy Logic Satrio Priambodo; Anang Andrianto; Dwiretno Istiyadi Swasono
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.32958

Abstract

Aquaponics is a cultivation method that combines aquaculture and hydroponics which can produce two products, namely plants and fish at a time and on relatively narrow land. The important thing in implementing aquaponics is to maintain water quality so that it remains at the standard of the two products. Automatic water quality control can make it easier for cultivators to maintain water quality more efficiently. Therefore we need an aquaponic water quality control system that focuses on the parameters of dissolved oxygen (DO), total dissolved solids (TDS), and hydrogen power (PH). DO control uses a pump that functions to increase DO levels. TDS control uses a pump that circulates AB mix nutrients to increase TDS and the addition of water volume to lower TDS. PH control uses a pump that circulates PH up and down PH. In its development, the arithmetic method used to process data is fuzzy. The output of this calculation is the duration of time the pump is running. The system is applied to a concrete pond measuring 4 x 1.5 x 1 meter with aquaponic products in the form of 100 fish and 20 cayenne pepper plants.
Optimasi Algoritma XGBoost Classifier Menggunakan Hyperparameter Gridesearch dan Random Search Pada Klasifikasi Penyakit Diabetes Ginanjar Abdurrahman; Hardian Oktavianto; Mukti Sintawati
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.35441

Abstract

Classification using XGBoost in this study was applied to diabetes data originating from the UCI Machine Learning website. The initial step in this research is to deal with missing values. Missing value is found in several features. These missing values need to be handled otherwise the XGBoost algorithm will not work. Missing value handling is done by adding a meaningful value as a substitute for the missing value. At the time of modeling, the dataset is divided into training data and test data. The training data used is 80% of the number of patients, while the test data is 20%. In this study, the dataset that had imputed missing values was subjected to three treatments, first without hyperparameters, secondly hyperparameter tuning using gridsearch, and third hyperparameter tuning using random search. In the first treatment, classification using XGBoost without hyperparameters obtained a negative log loss value of 25%, which means that the performance accuracy of the algorithm reaches 75%. As for the second treatment and the third treatment, namely by using gridsearch and random search, it produces the same negative log loss value, which is 5%, which means that the performance of the algorithm reaches 95%. Thus, the performance of gridsearch and random search can significantly increase the accuracy value
Analisis Sentimen Opini Publik Terhadap Program Vaksinasi Covid-19 Di Indonesia Pada Twitter Menggunakan Metode Naive Bayes Classifier Priza Pandunata; Kukuh Tri Winarno N; Yanuar Nurdiansyah; Nova El Maidah
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.34930

Abstract

The COVID-19 virus emerged in December 2019 in China and actively spread throughout the world including Indonesia in early 2020. Its spread is very fast and has caused millions of deaths. Therefore, the Indonesian government is actively holding a COVID-19 vaccination program to prevent the spread of the virus and make the public immune to the virus. But the program invites pros and cons among the community. Twitter is one of the social media that is famous for being a medium of opinion from the general public. The process of sentiment analysis can find and solve problems based on public opinion on social media such as Instagram. The classification method used in this research is Naïve Bayes Classifier. The dataset can be obtained from data crawling process using Google Collabs and python programming language. The total dataset obtained is 2000. The data the labelled as positive, neutral, or negative. The labelling process result showed 1579 positive data, 277 negative data, and 144 neutral data. Then pre-processing is carried out on the data that has been labeled before, also word weighting process using TF-IDF. After that modelling is carried out using Naïve Bayes Classifier and the last process is evaluation-testing. The high accuracy of the result from fourth experiment which compare 90% data training with 10% data testing produce 86% accuracy. While the result of sentiment test show that positive sentiment more than negative sentiment and neutral sentiment.
Desain Sistem Berbasis Web Penunjang Pemasaran Limbah Ternak Kelinci (LTK) Sebagai Bahan Baku Pupuk Organik Hilyah Magdalena; Hadi Santoso
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.33576

Abstract

CV. Mitra Ternak Sejahtera packs livestock waste of their broiler rabbits and ornamental rabbits to be sold as raw material for fertilizer. The sale of rabbit manure waste utilizes a network of resellers that already exist related to the marketing of broiler rabbits and ornamental rabbits. Marketing of rabbit livestock waste is done through messaging applications on social media. Conventional marketing and the high demand for rabbit waste products pose a problem considering that the marketing of rabbit waste uses resellers who also market broiler rabbits and ornamental rabbits. Accuracy of order data and guarantee of availability of waste products that are ready to be marketed are a problem. To reduce product order fulfillment errors and make it easier for resellers and general consumers to find out product stock, this study designed a web-based system for marketing kelimci livestock waste. The system design uses the Agile methodology and the Rapid Application Development (RAD) model with the hope that this system can be developed sustainably and adapt to the needs of the system owner
Pengaruh Rating, Review, dan Response Penjual terhadap Kepercayaan dan Minat Beli Pengguna Shopee Se-Karesidenan Besuki Haris Haris; Nelly Oktavia Adiwijaya; Qurrota A'yuni Ar Ruhimat
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.35398

Abstract

There are many fake ratings and reviews to increase positive income which is basically unknown for sure whether it affects buying interest and buyer trust. This research wanted to find out the effects of ratings, reviews and seller response on buying interest and buyer trust of the Besuki residency community towards the Shopee application. There were 349 respondents, with 20 instruments distributed and processed. There were 7 hypotheses proposed and the result showed that all of the hypothesis is accepted and it can be concluded that the seller's rating, review and response have a positive and significant effect on buying interest and buyer trust towards the Shopee application.
Imaged Based Authentication System dengan Reduced Difference Expansion Muhammad Ali Sya'roni; Yanuar Nurdiansyah; Diksy Media Firmansyah
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.34643

Abstract

Authentication is an important step in a system. Text-based authentication is an authentication alternative that is currently widely used. However, text-based authentication has the disadvantage of being ineffective when users have multiple accounts. This weakness can be overcome using image-based authentication. The implementation of image-based authentication can use the Reduced Difference Expansion (RDE) steganography method. application of image-based authentication, utilizing images as authentication media. RDE utilizes the reduced pixel difference as a place to insert credential data. Testing the image in this study, the image has an average similarity of 40 dB, indicating that the image that is inserted with credentials and that is not inserted has a high similarity. The similarity increases the security of the image from theft. The average character capacity that can be accommodated is 21,451 characters, a large enough capacity to accommodate credential data. The image is very sensitive to changes, so there is a slight change in the image, causing the image to not be used for authentication

Page 16 of 22 | Total Record : 219

 14   15   16   17   18 

Filter by Year

2016 2024


Reset
Filter By Issues
All Issue Vol 9 No 3 (2024): Informatics Journal (INFORMAL) Vol 9 No 2 (2024): Informatics Journal (INFORMAL) Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL) Vol 8 No 3 (2023): Informatics Journal (INFORMAL) Vol 8 No 2 (2023): Informatics Journal (INFORMAL) Vol 8 No 1 (2023): Informatics Journal (INFORMAL) Vol 7 No 3 (2022): Informatics Journal (INFORMAL) Vol 7 No 2 (2022): Informatics Journal (INFORMAL) Vol 7 No 1 (2022): Informatics Journal (INFORMAL) Vol 6 No 3 (2021): Informatics Journal (INFORMAL) Vol 6 No 2 (2021): Informatics Journal (INFORMAL) Vol 6 No 1 (2021): Informatics Journal (INFORMAL) Vol 5 No 3 (2020): Informatics Journal (INFORMAL) Vol 5 No 2 (2020): INFORMAL - Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal Vol 4 No 3 (2019): INFORMAL - Informatics Journal Vol 4 No 2 (2019): INFORMAL - Informatics Journal Vol 4 No 1 (2019): INFORMAL - Informatics Journal Vol 3 No 3 (2018): INFORMAL - Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal Vol 3 No 1 (2018): INFORMAL - Informatics Journal Vol 2 No 3 (2017): INFORMAL - Informatics Journal Vol 2 No 2 (2017): INFORMAL - Informatics Journal Vol 2 No 1 (2017): INFORMAL: INFORMATICS JOURNAL Vol 1 No 3 (2016): INFORMAL: INFORMATICS JOURNAL Vol 1 No 2 (2016): INFORMAL : Informatics Journal Vol 1 No 1 (2016): INFORMAL: Informatics Journal Vol 1, No 1 (2016): INFORMAL: Informatics Journal More Issue