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All Journal Jurnal Informasi dan Komputer JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Ilmiah Wahana Pendidikan

Dadang Yusup

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Author-ID : 3726167

Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Mathematics Social Sciences Other

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Articles

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Sistem Pendukung Keputusan Prioritas Pembelian Barang Menggunakan Metode Simple Addtive Weighting (Studi Kasus: PT. Atlindo) Adimas Fikri Ramadhani; Kamal Prihandani; Dadang Yusup
Jurnal Ilmiah Wahana Pendidikan Vol 7 No 7 (2021): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Along with the times, the development of information technology also develops and brings many changes in various aspects. With the development of information technology affects people's lives. Utilization of technology can now also be felt in various fields, one of which is in the business sector. PT. Atlas Lintas Indonesia (ATLINDO) wants to utilize information technology in order to work more efficiently and improve the quality of the company. The information technology that wants to be used is a decision support system to get the priority of purchasing goods. So that it can help the company in meeting the needs of goods. This application was developed using the SDLC method with the Waterfall model and using the Simple Additive Weighting method in making decisions. This application was developed with the feature of managing goods or alternative data, then what criteria are needed, and printing reports on the results of the decisions made.

Analisis Usability Pada Aplikasi Momby Spa Menggunakan Metode Usability Testing Hilmy Farid; Dadang Yusup; Carudin Carudin
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 14 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Momby Spa is an application that offers baby health therapist services that aim to bridge the gap between therapists and users. However, the Momby Spa application is still less attractive to the public. This is evident from the total number of downloads in the play store which is only hundreds of downloads. Therefore, it is necessary to conduct a usability analysis which includes aspects of effectiveness, efficiency, and user satisfaction to determine the level of usability. This study uses the usability Testing method with the target of Testing 20 mothers who have toddlers and have never used the Momby Spa application. As a result, the level of effectiveness of the Momby Spa application has a value of 95%, the level of user efficiency in finding information is 0.0644 goals/sec and the level of user satisfaction is marginal and ranks C. This shows that the usability level of the Momby Spa application is still has a usability level that is quite acceptable to users because it has a high level of effectiveness and has sufficient user satisfaction.

Implementasi Metode K-Nearest Neighbor Dalam Menganalisis Sentimen Terhadap Penyedia Jasa Layanan Internet First Media Wafiuddin Adzhan; Hannie Hannie; Dadang Yusup
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 16 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

At this time the use of the internet is growing rapidly and the internet plays an important role in various aspects of human life. With the increasing number of Internet users like that, many internet service providers are competing to use their services. In addition, the internet can also be used to search for information through social media, one of which is social media Twitter. Twitter is often used to express emotions about something good or bad. Tweets published by users via Twitter contain an opinion about an object, the object can be of various kinds, such as one of them is about a product or service. One of the internet services that is familiar to various groups of people is First Media, which is often given feedback by its users on the quality of the internet service provider. These responses are often given through various kinds of social media, one of which is Twitter and from these responses a method, namely sentiment analysis, will be carried out. This study discusses reviews in the form of tweets related to first media with the K-Nearest Neighbor algorithm using Rapid Miner tools. Data taken as many as 500 tweets related to the first media. Then do the deletion of ambiguous data so that it only produces 300 tweets. The methodology used is Knowledge Discovery in Databases, namely Data Selection, Data Pre-processing, Transformation, Data Mining, Evaluation. Data labeling is carried out by experts who are divided into positive and negative sentiments. The results of the modeling using K-Fold Cross Validation, and testing the value of k variations with odd numbers ranging from 3 to 25 to get the best accuracy. The highest accuracy was obtained with an accuracy of 84% with a value of k=3. Good classification results can be seen by how much accuracy is obtained.

Analisis Sentimen Opini Publik Tentang Vaksin Booster Menggunakan Metode Support Vector Machine dan firefly Algorithm RIfky Pujianto; Dadang Yusup; Tesa Nur Padilah
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 23 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Coronavirus is a viral epidemic that has swept across the world. Indonesia is one of the countries affected by the virus, so the government is trying to prevent the spread of the coronavirus so that not many people are exposed to the coronavirus. One of the government's efforts to prevent the spread of this virus is to create a free vaccination program. In January 2022, the government issued the latest vaccine, namely the booster vaccine. The emergence of the booster vaccine is slightly doubted by the public because of the many hoax news about this booster vaccine. This study aims to analyze the sentiment of public opinion on the emergence of the booster vaccine. The data used for this analysis comes from public opinion on Twitter. The data is taken using the crawling method. This research uses the support vector machine (SVM) method as a process for classifying public opinion and the firefly algorithm as an optimization of SVM parameters. There are 3 class labels used for classifiers, namely positive, negative, and neutral. A lot of data used after the pre-processing process is 2223 data which is then split into as much as 80% training data and 20% testing before entering the classification stage using the SVM method. The results of the classification using SVM produce an accuracy of 85% on the default parameters and after being optimized using the firefly algorithm it produces an accuracy of 86% with parameters C = 1.0–3.0, = 0.1-1.0.

Rancang Bangun Aplikasi Toko Kaum Jaya Berbasis Website Johan Toni Wijaya; Dadang Yusup; Intan Purnamasari
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 12 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8079063

The Kaum Jaya store is a shop that sells typical Karawang food and drinks which has been established since 2017 and located at Jl. HS.Ronggo Waluyo, Puseurjaya, Telukjambe Timur, Karawang, West Java. Kaum Jaya store does not have branches and online system. Based on this background, it’s necessary to create an application that would simplify transaction activities with online payment systems and providing information to customers about what products are in the Kaum Jaya store. The name of application is Kaum Jaya. Application development is carried out using the prototype method. In its development, the application uses web technologies such as HTML, CSS, PHP, JavaScript, and MySQL to store product, order and user data. This application can be accessed via browser on computers and mobile devices. The result of this program is the creation of a website-based application that has passed the testing stage. This application is also equipped with a transaction system assisted by midtrans and will store all transaction history data. With the application, hope that it can provide convenience for customers in purchasing Kaum Jaya store products online, as well as simplify products and order management for store owners

Co-Authors Adimas Fikri Ramadhani Carudin Carudin Carudin Hafiz Pratama S Nawawi Hannie Hannie Hilmy Farid Intan Purnamasari Iwansyah Edo Hendrawan Johan Toni Wijaya Kamal Prihandani M Ilhamsyah Muhammad Rizki Al-Fajri RIfky Pujianto Tesa Nur Padilah Wafiuddin Adzhan

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