Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
JURASIK adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Sistem Informasi dan Teknik Informatika. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) adalah jurnal ilmiah dalam ilmu komputer dan informasi yang mengandung literatur ilmiah pada studi murni dan penelitian terapan dalam ilmu komputer dan informasi dan ulasan publik pengembangan teori, metode dan ilmu terapan yang berkaitan dengan subjek. Jurnal ini pertama kali mendapat ISSN dengan nomor 2527-5771 pada tahun 2016 untuk terbitan cetak dan mulai 2017 beralih ke terbitan elektronik dengan nomor ISSN 2549-7839. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesionaldan praktisi dari industri dalam bidang Ilmu Kecerdasan Buatan. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan ilmu komputer. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) terbit 1 (satu) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit. JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika) telah terindeks Google Scholar, Garuda, Crossref dan terus akan diupdate mengikuti perkembangan. Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) telah melakukan perubahan jumlah terbitan dari 1 x setahun (Juli) menjadi 2 x setahun (Februari dan Agustus) dan telah melakukan perubahan data administrasi pada laman LIPI dengan url: http://u.lipi.go.id/1480905139. Topik dari jurasik adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelligence, Digital Signal Processing, Human-Computer Interaction, IT Governance, Networking Technology, Optical Communication Technology, New Media Technology, Information Search Engine, Multimedia, Computer Vision, Information System, Business Intelligence, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems, Software Engineering, Programming Methodology and Paradigm, Data Engineering, Information Management, Knowledge-Based Management System, Game Technology.
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403 Documents
<![CDATA[Analisis Throughput Distribusi Jaringan Nirkabel Pada Politeknik Bumi Akpelni ]]>
<![CDATA[Wardana, M. Rifki]]>;
<![CDATA[Santoso, Dwi Budi]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.640
<![CDATA[Wireless networks, also known as wireless or Wi-Fi networks, are networks where users of electronic devices can connect and communicate with each other without using physical cables or wired connections. One of the factors that supports the capabilities of wireless networks is throughput. In the analysis of wireless network throughput, researchers conducted a study at Politeknik Bumi Akpelni, a maritime college. The research was conducted using computer simulations or field testing to examine factors that affect throughput, such as bandwidth, latency, and user density. The testing was performed by evaluating the wireless network transmitted by an access point device with the IEEE 802.11 ac standard, which operates at two frequencies: 2.4 GHz and 5 GHz. The testing was divided into three stages: testing wireless network throughput with obstacles (walls), testing wireless network throughput without obstacles, and testing wireless network throughput based on user density. The test results were categorized as very good, but it should be noted that the amount of bandwidth affected the quality of the throughput obtained. The more users there are, the smaller the throughput obtained.]]>
<![CDATA[Perbandingan Rest Api Menggunakan Node Js Dan Php Pada Aplikasi Pemilihan Umum ]]>
<![CDATA[Haryadi, Habbyan Lazuard]]>;
<![CDATA[Sujjada, Alun]]>;
<![CDATA[Simatupang, Dwi Sartika]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.631
<![CDATA[This study aims to analyze the comparison of the Representational State Transfer (REST) Application Programming Interface (API) between PHP and Node.js in the context of general election applications. The Prototype System Development Life Cycle (SDLC) method is used for application development. The performance of both programming languages is evaluated based on response speed, ease of development, and system capabilities. Data on Permanent Residents of Malang City with a total of 600 thousand data is used as a sample for database and server testing. The comparison results show that Node.js has a better response speed than PHP. However, PHP has an advantage in terms of ease of development. Both are able to handle applications with a large number of voters based on system capabilities. This research provides insight into the performance of PHP and Node.js in the context of REST API development for election applications]]>
<![CDATA[Penerapan Data Mining untuk Memprediksi Penjualan di Erigo Store dengan K-Nearest Neighbor ]]>
<![CDATA[Saragih, Rini Hartati]]>;
<![CDATA[Pamungkas, William Aldo]]>;
<![CDATA[Yumna, Farhan]]>;
<![CDATA[Sitanggang, Delima]]>;
<![CDATA[Wardani, Sumita]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.655
<![CDATA[Berdasarkan hasil penelitian ini, pemodelan yang dilakukan dengan menerapkan algoritma K-Nearest Neighbor. Hasil akurasi yang diperoleh dari prediksi penjualan untuk 5 kategori produk adalah shirt sebesar 100%, Jacket sebesar 95%, Pants sebesar 92,31%, Outwear sebesar 89,47% dan T-Shirt sebesar 60%. Dari total keseluruhan prediksi kategori penjualan diperoleh hasil akurasi klasifikasi penjualan keseluruhan produk sebesar 83,62% dengan pengujian menggunakan tools rapid miner untuk menentukan penjualan setiap produk per tahunnya.]]>
<![CDATA[Analisis Algoritma Sequential Search Pada Aplikasi Pencarian Berita ]]>
<![CDATA[Furqan, Mhd]]>;
<![CDATA[Armansyah, A]]>;
<![CDATA[Kurniawan, Riski Askia]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.622
<![CDATA[The algorithm is an approach to be able to compile and manage data efficiently. The Sequential Search algorithm is used to build a mobile-based news search application. The search function is used to validate the data itself. The Sequential Search algorithm has 2 possibilities, namely the best possibility (best case) and the worst case (worst case). In determining a possibility, it takes the complexity of the time algorithm. This study will analyze the Sequential Search algorithm in determining the 2 possibilities that occur in mobile applications. Data is one of the things needed in the development of an application. There are 100 data used by researchers as keywords and researchers will take 5 keywords, namely Earthquake, PDI, Indonesian Education, Floods, and Online Sales to determine the best case and worst case from the Sequential Search algorithm. In determining the speed of time required running time program in units of milliseconds (ms). So that the average time for the earthquake keyword is 0.014189 ms, the PDI keyword is 0.073763 ms, the Indonesian Education keyword is 0.169640 ms, the Flood keyword is 0.206307 ms, and the Online Selling keyword is 0.284086 ms. By obtaining the time from the test, the results of the complexity are also obtained, namely Tmin(n) = 0.014189 ms so that the best case is found in the Earthquake keyword and Tmax(n) = 0.284086 ms so that the worst case is found in the Online Selling keyword. And Tavg(n) = 0.1491375 ms. News API is HTTP REST API which is used to access news after keywords are found]]>
<![CDATA[Sistem Penjualan Barang Elektronik Dan Furniture Berbasis Web Pada Toko Bali Artha Jaya ]]>
<![CDATA[Wijaksana, I Kadek Krisna]]>;
<![CDATA[Wibawa, Kadek Suar]]>;
<![CDATA[Susila, Anak Agung Ngurah Hary]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.645
<![CDATA[Bali Artha Jaya is a business engaged in the sale of electronic goods and furniture. The sales are carried out conventionally which is still depend on SPG or SPB and do not take advantage of technology. In order to increasing the sales, we need a website that is able to answer these problems. This study aims to design an e-commerce website to provide sales facilities. The data collected during the research were profile data, sales flow data, and product data sold. The design for making a website is obtained by using the Data Flow Diagram (DFD) technique. A table design is made which is equipped with fields that are implemented in a database application program. The data collection method used is ADDIE (Analysis, Design, Development, Implementation, and Evaluation). System testing was carried out using the Post-Study System Usability Questionnaire (PSSUQ) method. Based on the results of system testing, satisfaction data was obtained overall with an average score of 2.40 included in the lower limit (good) category. This value illustrates that the website websites that have been created is good or successful.]]>
<![CDATA[Klasifikasi Kepuasan Pelanggan Terhadap Platform E-Commerce dengan Metode K–Nearest Neighbor (K-NN) ]]>
<![CDATA[Halim, Tio Novian]]>;
<![CDATA[Martin, Ryan]]>;
<![CDATA[Hutasoit, Rista Kesia Br]]>;
<![CDATA[Aisyah, Siti]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.636
<![CDATA[This study aims to determine customer satisfaction, towards e-commerce platforms. E-commerce is a platform that can make various types of payments and purchases online from a smartphone. This research is a quantitative approach using survey techniques, namely by distributing questionnaires. The data used uses primary data in the form of a questionnaire obtained through google form. Sampling using Convenience Sampling technique so that a research sample of 1001 respondents was obtained. Data processing in this study using the K-Nearest Neighbor (K-NN) method, the results showed that customer satisfaction had a significant effect on e-commerce both partially. based on training and data processing calculations of the K-NN model, the two best e-commerce were obtained according to the respondents' assessment, namely Shopee and TokoPedia, with a percentage of Shopee 82.98% of 779 total respondents and TokoPedia 80.30% of 133 total respondents.]]>
<![CDATA[Klusterisasi Impor Beras Di Indonesia Menurut Negara Asal Utama Menggunakan Algoritma K-Medoids ]]>
<![CDATA[Arminarahmah, Nur]]>;
<![CDATA[GS, Achmad Daengs]]>;
<![CDATA[Hardinata, Jaya Tata]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.657
<![CDATA[This study aims to classify rice import data in Indonesia based on the main country of origin using the K-Medoids algorithm. The rice import data used in this study covers the last six years (2017-2022), which is quantitative data, namely rice import data in Indonesia quoted from the Indonesian Statistical Publication, and processed based on the customs archives of the Directorate General of Customs and Excise. The K-Medoids method was chosen because of its ability to handle outliers and provide more stable clustering results compared to other clustering algorithms. The results of the analysis show that there are three main clusters of rice-supplying countries in Indonesia. The first cluster consists of countries with high import volumes, the second includes countries with moderate import volumes, and the third comprises countries with low import volumes. These findings provide important insights for the government and industry players in formulating rice import strategies, particularly in choosing the country of origin of imports and determining tariff policies. In addition, the results of this clustering can be used as a basis for making decisions regarding the diversification of rice import sources to increase national food security.]]>
<![CDATA[Perancangan Pengelolaan Stok Barang Berbasis Web Dengan Metode Prototype Pada Toko Hosana Salatiga ]]>
<![CDATA[Wicaksono, Damar Cahyo Setyo]]>;
<![CDATA[Rudianto, Christ]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.627
<![CDATA[Hosana Store Salatiga is a store that sells various office stationery, photocopy and manymore. Hosana Store has many problems, including note recording and inventory management. This is because the business process at Hosana Store is still conventional. Therefore, this research aims to design a web-based information system to assist in data management and note recording. This research utilizes a qualitative method with the assistance of Figma to create designs using a prototype approach. With this design, a web-based information system will be developed to help with data management and note recording at Hosana Store Salatiga, preventing errors in its management.]]>
<![CDATA[Analyzing E-Commerce Customer Loyalty Using The E-Service Quality Method ]]>
<![CDATA[Sibara, Lisa]]>;
<![CDATA[Sihombing, Denny Jean Cross]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.650
<![CDATA[Indonesia is a country of e-commerce service users that occupies the first globally. In Indonesia's increasingly fierce e-commerce competition, users are faced with various choices, so user loyalty in using one application is critical. Therefore, it is necessary to analyze user loyalty in e-commerce. This study measures customer loyalty to e-commerce, especially the Bukalapak application. This research uses a purposive sampling technique and an e-service quality measurement method. The results of this study are of the eight hypotheses proposed; there are five rejected hypotheses, namely the variables tangible, reliability, responsiveness, assurance, and fulfillment have no positive effect on satisfaction, and there are three accepted hypotheses, namely the variables privacy, compensation, and contact have a positive effect on satisfaction]]>
<![CDATA[Penerapan Karyawan Berprestasi dengan Metode Profile Matching Pada PT. Intisel Prodaktifakom Semarang ]]>
<![CDATA[Santoso, Bagas]]>;
<![CDATA[al-Amin, Imam Husni]]>
<![CDATA[ Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus ]]>
Publisher : <![CDATA[STIKOM Tunas Bangsa Pematangsiantar ]]>
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DOI: 10.30645/jurasik.v8i2.641
<![CDATA[The process of selecting high-performing employees at PT. Intisel Prodaktifakom Semarang still relies heavily on hardcopy forms and decisions made by a single party, resulting in an inaccurate process. The selection of outstanding employees is still done manually, leading to an ineffective search process and difficulties in decision-making and obtaining hardcopy data. In the conducted research, several criteria are used for decision-making, namely Work Target Aspect, Work Behavior Aspect, and Work Discipline Aspect. Therefore, a decision support system greatly aids the company in decision-making, analyzed using the Profile Matching method. Implementing the Profile Matching method at PT. Intisel Prodaktifakom Semarang makes it easier to make decisions in selecting high-performing employees based on their capabilities. This research aims to determine the ranking and weightage of criteria in the selection of outstanding employees at PT. Intisel Prodaktifakom Semarang.]]>
