https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/issue/feed 2023-06-11T11:46:48+08:00 Winsy Weku ijids@unsrat.ac.id Open Journal Systems <p>The <strong>Indonesian Journal of Intelligence Data Science</strong> is a scientific journal that accepts and disseminates research results to advance science by publishing them twice a year in May and November. <span class="Y2IQFc" lang="en">The Jurnal IJIDS already has <a href="https://issn.lipi.go.id/terbit/detail/1517672631" target="_blank" rel="noopener"><strong>E-ISSN: 2988-0416.</strong></a></span></p> <p><span class="Y2IQFc" lang="en"><strong><span class="type">DOI: </span><span class="id"><a href="https://doi.org/10.35799/ijids.v2i1">https://doi.org/10.35799/ijids.v2i1</a></span></strong></span></p> <p>This journal accepts scientific writings that are based on the theme of Data Science, with the scope of research covering the use or development of several methods such as statistical learning (relationships between variables to gain insight) and machine learning (models capable of making predictions) which are applied to various data from sampling results structured or unstructured which arise from various problems in the field of scientific research such as the environment, etc.</p> <p><strong>Indonesian Journal of Intelligence Data Science</strong> (IJIDS) is a peer-reviewed open-access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, geography, engineering, social management, etc. IJIDS was launched in 2022 and published quarterly by Mathematics Department, Sam Ratulangi University.<br /><br />Current areas of interest include, but are not limited to:</p> <ul> <li>Machine learning, Deep Learning and intelligent management</li> <li>Data Mining and Business Analytics</li> <li>Data statistics and decision making</li> <li>Intelligent computing and algorithms</li> <li>Cloud Computing</li> <li>Spatial Data Science</li> <li>Business Intelligence and Data Science</li> <li>Big Data Analysis </li> <li>Data Security Management</li> <li>Data visualization</li> <li>Data Science Architecture</li> <li>Data Science Technolgy</li> <li>Data Warehouse and OLAP</li> <li>Natural Language Processing</li> <li>Forecasting, Prediction and Interpolation</li> </ul> https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/article/view/48609 2023-06-11T11:46:48+08:00 Leony Martiyana Putri 682018145@student.uksw.edu Yessica Nataliani yessica.nataliani@uksw.edu

<p><em>COVID-19 was officially declared a global pandemic by WHO on March 11, 2020. In Indonesia, cases of COVID-19 were first detected on March 2, 2020 and there were more and more positive confirmations every day. The government's strategy in fighting this pandemic is by carrying out vaccinations. The use of vaccination has received various responses from the public, both those who support it and those who oppose it. This study aims to analyze public opinion on vaccination, thereby helping the public to see whether vaccines are well received or not. The data used are 600 tweets for three keywords, namely "astra", "sinopharm", and "sinovac", with 200 tweets for each keyword. Each data is divided into 70% training data and 30% testing data. Classification is done using the Naïve Bayes method. Sentiment results with the keyword "astra" show 159 tweets giving neutral sentiment, 19 tweets giving positive sentiment, and 22 tweets giving negative sentiment, with an accuracy of 68,66%. The keyword "sinovac" shows 134 tweets giving neutral sentiment, 13 tweets giving positive sentiment, and 23 tweets giving negative sentiment, with an accuracy of 82,86%. The keyword "sinopharm" shows 77 tweets giving neutral sentiment, 22 tweets giving positive sentiment, and six tweets giving negative sentiment, with an accuracy of 28,77%. It can be concluded that the results of public sentiment towards vaccination received good support from the community.</em></p>

2023-05-15T00:00:00+08:00 Copyright (c) 2023 Leony Martiyana Putri, Yessica Nataliani https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/article/view/47528 2023-04-13T05:24:19+08:00 Alwin Adi Putra 682016094@student.uksw.edu Yessica Nataliani yessica.nataliani@uksw.edu

<p><em>Online shopping has become increasingly popular for many people in Indonesia since the Covid-19 pandemic took hold. Shopee is one of the most popular online buying and selling applications. Based on a survey conducted by App Annie, Shopee has been named the most popular marketplace in Indonesia regarding the number of active users and the volume of monthly visits. Shopee has a fintech called Shopeepay. Technology Acceptance Model (TAM) was used to analyze user acceptance during the Covid-19 pandemic. 100 ShopeePay users were taken as a sample using a purposive sampling technique, collected by questionnaire. Determination of the number of samples refers to the number of samples used in previous studies relevant to this research. The analytical techniques used in this study include regression analysis (simple and multiple) and path analysis. The analysis results from the Technology Acceptance Model show that the factors influencing the acceptance of ShopeePay fintech during the Covid-19 pandemic in Salatiga were Perceived Usefulness and Perceived Ease of Use. The</em><em>se</em><em> two perceptions of TAM influence Attitude toward Using and Behavioral Intention to Use, which impacts Shopeepay's Actual System Usage during the Covid-19 pandemic</em>.</p>

2023-05-15T00:00:00+08:00 Copyright (c) 2023 Alwin Adi Putra, Yessica Nataliani https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/article/view/46998 2023-03-08T17:53:06+08:00 Sanly Deremi sanlyderomi@gmail.com Nelson Nainggolan n-nelson@unsrat.ac.id Winsy Weku winsy_weku@unsrat.ac.id

<p>Kriminal atau tindak kejahatan merupakan suatu perilaku yang melanggar hukum, norma dan nilai-nilai yang berlaku dalam kehidupan masyarakat. Tindak kriminalitas terjadi karena kepincangan sosial, kebencian, tekanan mental ataupun perubahan linkungan yang terjadi di masyarakat. Kota Ternate merupakan sala satu kota di Provinsi Maluku Utara yang tidak terlepas dari tindak kejahatan karena setiap tahun bahkan bulan selalu ada tindak kriminal terjadi. Telah dilakukan peramalan tingkat kriminalitas di Kota ternate menggunakan metode double exponential smoothing dengan data yang di ambil dari POLRES Kota Ternate berjumlah 45 kasus. Hasil dari peramalan tingkat kriminalitas Kota Ternate, untuk bulan Oktober 2022 terdapat 21,54(22) kasus, bulan November 2022 naik menjadi 21, 66(22) kasus dan di bulan Desember naik lagi menjadi 21, 78(22) kasus, artinya dari bulan November 2022 sampai bulan Desember 2022 kasus kriminalitas di Kota Ternate berpotensi meningkat 5%.</p>

2023-05-15T00:00:00+08:00 Copyright (c) 2023 Sanly Deremi https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/article/view/46021 2023-01-19T10:05:48+08:00 Djoni Hatidja dhatidja@unsrat.ac.id Flora Gratia Walelang floragratiawalelang@gmail.com Chriestie E.J.C Montolalu chriestelly@unsrat.ac.id

<p><em>Tujuan dari penelitian ini adalah untuk </em><em>menentukan model intervensi fungsi step </em><em>pada </em><em>data penjualan mobil di PT. Hasjrat Abadi Cabang Tendean Manado serta melihat hasil perbandingan prediksi pada penjualan mobil di PT. Hasjrat Abadi Cabang Tendean Manado bulan Januari sampai Desember tahun 2022. Data yang digunakan </em><em>yaitu</em><em> data sekunder yang diambil dari DMS (Dealer Management System) periode bulan Januari 2015 – Oktober 2021. Hasil</em><em>nya</em> <em>menunjukkan bahwa </em><em>model terbaik adalah model intervensi dengan orde </em><em>, </em><em>, dan </em><em> dengan persamaan : </em><em>. Prediksi penjualan mobil di </em><em>PT. Hasjrat Abadi Cabang Tendean Manado dengan model intervensi untuk Januari - Desember 2022 didapatkan hasil konstan yaitu 75 unit mobil</em><em>.</em></p>

2023-05-15T00:00:00+08:00 Copyright (c) 2023 Djoni Hatidja https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/article/view/48584 2023-06-08T23:12:02+08:00 Tiara Gloriani Siwu 18101106037@student.unsrat.ac.id Benny Pinontoan bpinonto@yahoo.com Rillya Arundaa rill@unsrat.ac.id

<p>Document archive processing is currently growing fast but has not been maximized as in SMP Negeri 12 Dumoga, where the document archiving process is still carried out conventionally by storing physical files, which are increasing over time and require a large storage area and extra time to search for the required documents. For this reason, with the development of existing technology, school document archiving can be done through a website-based storage system. The purpose of building this system is to facilitate the educational institutions of SMP Negeri 12 Dumoga in storing and searching documents. In addition, it can minimize the loss of school documents when the documents increase more and more and accumulate. The system was built and developed using the prototype system development method, which is carried out in stages starting from communication, quick plan, modeling quick design, construction of prototype, deployment, delivery and feedback. The website-based archive system can display the number of general and important documents stored in the e-archive. This e-archiving system has four menus: General Documents, Important Documents, Categories, and User Pages. This system can make archiving documents easier for administrative staff at SMP Negeri 12 Dumoga. System development can be done by adding features for photo and video archives documenting activities at SMP Negeri 12 Dumoga and development as part of the school's main website.</p> <p>&nbsp;</p> <p>&nbsp;</p>

2023-05-15T00:00:00+08:00 Copyright (c) 2023 Tiara Gloriani Siwu