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Kab. jember,
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INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol 8 No 2 (2023): Informatics Journal (INFORMAL)" : 8 Documents clear
Analisis Bukti Digital Direct Message Pada Twitter Menggunakan Metode National Institute Of Justice (NIJ) Yudharta Arif; Erick Irawadi Alwi; Muhammad Arfah Asis
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.34025

Abstract

Twitter is a social media application that can be used on desktop, web and smartphone systems. The large number of Twitter users makes Twitter inseparable from cyber crimes, such as pornography, online gambling, hate speech and other crimes. The purpose of this study is to conduct a forensic investigation on the Twitter Direct Message (DM) application using the NIJ method and determine the success rate of forensic tools in finding deleted data. This study uses the National Institute of Justice (NIJ) method with the stages of identification, collection, examination, analysis, and reporting assisted by forensic tools to obtain digital traces that can be used as evidence. The results obtained from this study were the discovery of evidence of deleted chats and images on Twitter DMs with a success rate of forensic tools (Magnet AXIOM and MOBILEedit) in finding these evidences of 66.66%.
Rancang Bangun Sistem Otomatisasi Pergantian Air Kolam Budidaya Ikan Nila Berdasarkan Parameter Kondisi Air Menggunakan Nodemcu ESP8266 Cintya Nada Anjali; Moch Lutfi
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.41478

Abstract

Water quality in ponds is a physical factor that influences tilapia cultivation. In general, tilapia can grow at a degree of acidity (pH) 5-9 with a maximum air turbidity of 50NTU. Cases of tilapia death in GIP Housing Martopuro Village often occur due to a lack of attention in maintaining the quality of pond water. So with the case study method that aims to solve these problems a system is designed that can monitor water quality and automatic water changes based on water condition parameters through the "Nila Fish Care" application, the application is available on Google Playstore. The results of testing the average water pH is 6.37 and the average value of water turbidity is 35.96. With this system, that it can assist tilapia farmers in monitoring air quality remotely using an application and changing water automatically without human power
Penerapan Metode Design Thinking Pada Perancangan UI/UX Sistem Informasi Penelitian Mahasiswa Berbasis Web Arizona Firdonsyah; Zahra Arwananing Tyas; LM Ma'rifatun
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.33468

Abstract

Advances in technology provide opportunities to increase efficiency in various sectors, including the licensing process and the operations of government agencies. The Bantul District Health Office, as a health and research service provider, still relies on a semi-manual research licensing process. To overcome this, a structured research licensing information system is needed on a website basis. The stages of making a website start with UI/UX design. This study designed a UI/UX system using the Design Thinking method. The Empathize stage involves interviews and observations to understand the needs of users, especially the Head of the Health Office Program Subdivision. The Define phase identifies core requirements such as a list of user requirements, business process flowcharts, and the use of Figma for design and prototyping. The Ideate Stage involves brainstorming and wireframes, while the Prototype Stage produces the final design for testing. The Test phase involved Usability Testing, with fixes such as changing the message feature to notifications and adding the option to sign in with a Google account. The results showed that the prototype answered the problems of the Bantul District Health Office in designing the SIPENA UI/UX according to user needs.
Rancang Bangun Chatbot Pengaduan Kekerasan Perempuan Anak Dengan Metode Fuzzy String Matching Dan Enhanced Confix Stripping Stemmer Al Muhtadi Billah; Diah Ayu Retnani Wulandari; Yudha Alif Auliya
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.42310

Abstract

Violence against women is a serious issue affecting many individuals in society. In Indonesia, including Kota Probolinggo, the number of cases of violence against women remains high. This research aims to design a chatbot application as a means for reporting violence against women and children (VAWC) in Kota Probolinggo. The application provides an anonymous and safe space for victims to report their complaints without revealing their identities. Additionally, the chatbot delivers information and education about different types of violence against women and preventive measures. The development of the chatbot application utilizes Fuzzy String Matching, Enhanced Confix Stripping Stemmer, and preprocessing methods to enhance data search accuracy and provide appropriate responses to users. The testing results show that the chatbot offers responses with satisfactory accuracy. Leveraging AI technology in the form of a chatbot is expected to provide an effective solution in addressing and preventing violence against women, offering a secure and anonymous platform for victims to report incidents. The application is envisioned to offer better support and assistance to victims of violence. The chatbot application implements fuzzy string matching, the Levenshtein distance algorithm, and Enhanced Confix Stripping Stemmer to process user input before matching it with the database. During the Enhanced Confix Stripping Stemmer process, sentences are transformed into an array of basic words, enhancing the accuracy of data matching when using fuzzy string matching and the Levenshtein distance algorithm. Testing results indicate a 4.77% difference between manual calculations and the chatbot system. This difference may be attributed to variations in text processing and other factors.
Analisis Kepuasan Penggguna Pada Layanan Aplikasi Mobile Jaminan Kesehatan Nasional (JKN) Menggunakan Metode User Experience Questionnaire (UEQ) Achlis Amalia Masruroh; Ratna Juita; Bertha Pangaribuan
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.38011

Abstract

Although application mobile JKN would facilitate the public. However, until now has a view on the level of satisfactiom users application mobile JKN particulary in the area of west Papua. Reseach objectives to be evalution when do for improve te weaknesses and shortage of system. Raising the level of satisfaction mobile users JKN. The use writer method user experience questionnaire (UEQ) to assess the variable UEQ: attractiviness, clarity, efficiency, the reliability of, stimulation and novelty. The result of the research by the number 117 respondents from 5 administrative areas west papua, category above average on a scale attractiviness with the 1.22. Scale clarity with the 1.13 to a category bellow average. Scale efficiency the average value of 1.42 with category above average. Scale the accuracy of get result the average score 2.04 to a category excellent. The stimulation average scoring 1.16 category above average. The last a novelty average 1.85 with excellent categories.
Analisis Kesenjangan Antara Pengguna dan Penyedia Elitag Yusrida Muflihah; Agyl Ardi Rahmadi; Jessica Angelina Gatur; Ahmad Alfianto
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.29548

Abstract

The Elitag service is a single point of application used by University Lecturers on August 17 1945 to provide teaching through courage to students. Elitag Services has a role in helping lecturers deliver material, conduct attendance and discussions boldly. Elitag's services have increasingly gained value since distance lectures were held during the Covid-19 pandemic. However, the provision of Elitag services cannot be separated from several problems, including: 1) there is a gap between the expectations and perceptions of Elitag service users, 2) the Service Level Agreement (SLA) for Elitag services does not yet explain service requirements regarding capacity, performance and service availability, 3 ) minimum level of service evaluation. Seeing this problem, it is necessary to carry out an error analysis among Elitag service users and Elitag service providers. This research focuses on Service Level Management (SLM) which can ensure that agreements made are in accordance with customer needs, meetings between Elitag Service users and Elitag Service providers can be minimized. Referring to ITIL, the first stage that needs to be carried out is to conduct a survey using the SERVQUAL method to determine the expectations and perceptions of service users, then review the current conditions of Elitag Service SLM based on the dimensions of the SERVQUAL method. The research results show that there is a gap between the expectations and perceptions of service users, namely that the expectations of service users are higher but not in accordance with the perceptions of service users. This is indicated by the overall average score of -0.58, with the highest gap score in the responsiveness dimension (-0.73) and the lowest gap score in the Tangibles dimension (-0.43). This score shows that there is a gap but it is not significant
Algoritma Apriori Dalam Identifikasi Pola Pembelian Konsumen Pada Produk Minuman Vita Choirul Nisa; Fata Nidaul Khasanah
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.41514

Abstract

Competition between companies is getting tougher and entrepreneurs indirectly need a better product marketing strategy. Inventory management system is a very popular business in Indonesia, especially in the beverage industry. Related to inventory, there is a technique in the development of science today, one of which is data mining techniques or mining techniques. In data mining, a priori algorithms contain a type of association rules that aim to find interesting relationships between combinations of elements hidden within the dataset. The application of a priori algorithm in this study can help Pekopen tavern managers find the right consumer buying behaviour . So that it can be used as material for business decision-makers to determine marketing strategies and optimize sales of menu variants, especially for several types that are in great demand. These results are used to find new information to determine a better product marketing strategy. Data processing using apriori algorithm is carried out by conducting the highest frequency analysis based on the minimum support value followed by determining the association rules based on the confidence value and then continued with the evaluation process through determining the lift ratio. There are 2000 sales transaction data processed from the data processing process obtained from a combination of itemset {Chizu Redvelvet, Cokolateh} with a support value of 40% and a confidence value of 67%.
Penanganan Data Tidak Seimbang Menggunakan Hybrid Method Resampling Pada Algoritma Naive Bayes Untuk Software Defect Prediction Moch Lutfi; Arief Tri Arsanto; Muhammad Faishol Amrulloh; Ummi Kulsum
INFORMAL: Informatics Journal Vol 8 No 2 (2023): 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.v8i2.41090

Abstract

Software defect prediction is software data that is used to identify a software module and can also be used to predict software defects. Before carrying out further trials, it is necessary to carry out special handling, especially by using algorithm models as predictions of software defects with the aim of obtaining information from the device being developed. Therefore, it is necessary to predict software defects using appropriate classification and prediction methods, so that the resulting accuracy results are better. In this study, the naïve Bayes algorithm was used as a classification with a resampling technique approach to handle unbalanced data, including SMOTEENN and SMOTETomek. The best accuracy results in the research conducted were 92.5% on the Nasa Repository PC4 dataset

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