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Contact Name
Agus Perdana Windarto
Contact Email
aguspw.amcs@gmail.com
Phone
+6282273233495
Journal Mail Official
agus.perdana@amiktunasbangsa.ac.id
Editorial Address
Sekretariat Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jln. Jendral Sudirman Blok A No. 1/2/3 Kota Pematang Siantar, Sumatera Utara 21127 Telepon: (0622) 2243 email : jurasikstbtunasbangsa@gmail.com
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Sumatera utara
INDONESIA
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
ISSN : 25275771     EISSN : 25497839     DOI : 10.30645
Core Subject : Science,
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.
Articles 403 Documents
Perancangan Chatbot Whatsapp Natural Language Processing Untuk Pelayanan Digital Universitas Nusa Putra Fergina, Anggun; Alpariji, Salman; Sujjada, Alun
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.801

Abstract

Universitas Nusa Putra is committed to providing the best services to students and prospective students through the implementation of technology. This study uses a qualitative method with a case study on the digital services of the university's communication and marketing department, which designed a chatbot based on Natural Language Processing (NLP) on the WhatsApp platform. Using PHP and Python, this chatbot provides information about new student admissions as well as academic and non-academic information in Indonesian and English. Functionality testing using black-box testing and questionnaires showed that the chatbot has an accuracy rate of 90% and a user satisfaction rate of 87.9%. These results indicate a positive reception towards the chatbot technology at Universitas Nusa Putra. Further development may include integration with social media platforms and the university's website, as well as enhancements in security and privacy.
Analisa Kepuasan Pengguna Web dengan Partial Least Squares-Structural Equation Modeling Berbasis WebQual 4.0 (Dinas Lingkungan Hidup Kota Pekalongan) Krisna, Muhammad Donny Sri Adhi; Santoso, Dwi Budi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.727

Abstract

The study's goal is to analyze and evaluate user satisfaction with the Pekalongan City Environmental Agency website utilizing the Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach based on WebQual 4.0. This study looks at three main aspects of WebQual 4.0 Usability(ease of navigation, user-friendly design), Information Quality (accuracy, relevance, timeliness), and Service Interaction (customer support, responsiveness, personalization), to identify the most influential factors on user satisfaction. Data was collected through an online survey targeting active users of the website. Utilizing PLS-SEM, the statistical significance of the correlations between these variables and user satisfaction was examined, and path coefficients were computed. The findings indicate that all three WebQual dimensions significantly influence user satisfaction. Service Interaction was identified as the most dominant factor with a very strong positive influence, followed by Usability and Information Quality. This analysis provides insights for website administrators to develop strategies aimed at enhancing user satisfaction. By focusing on improving service interaction and usability, as well as ensuring the delivery of high-quality information, the Pekalongan City Environmental Agency's website can be more effective in meeting the public's information and service needs..
Analisis Manajemen Risiko Pada Aplikasi SAP LOGON 750 di PT. XYZ Berbasis ISO 31000:2018 Budiono, Marvel Evandi; Haryani, Endang
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.834

Abstract

The SAP LOGON 750 handles production process activities from inputting production data, production scheduling, production processes, to reporting production. There are various possible risks that occur, but PT. XYZ has never managed risks internally. This study aims to analyze risk management for the use of the SAP application. This research focuses on one case study object and applies a qualitative approach based on the ISO 31000: 2018 framework. The results found 18 possible risks. There are 12 medium level risks, among others are dust/dirt, server down, lightning, power outage, lost network connection, dead web service, hardware damage, human error, data theft, fire, earthquake, hacker attack. While there are 6 low level risks, namely backup failure, data corruption, overheat, overload, flooding and virus attacks. Therefore, this study concludes that there are no risks that are very dangerous or have a loss impact on companies related to the use of the SAP LOGON 750 application. Although there are medium-level risks, these can be overcome by technical and systematic risk treatment. Technical risk treatment includes reviewing ventilation and electrical structures, installing lightning rods, providing fire extinguishers, generators and UPS. While systematic risk treatment through periodic maintenance, among others, for servers, web services, networks, hardware and data backups. In addition, there is socialization and training for employees. PT XYZ is expected to always be vigilant and prepared by managing risks and risk treatment properly
Penentuan Wilayah Pemasaran Kopi Colol Dengan Metode AHP-TOPSIS Andryana, Septi; Andani, Angela Nerci
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.750

Abstract

Colol is the centre of high-quality coffee production in Manggarai, NTT. Colol's arabica and robusta coffee won the title of best coffee in the 2015 coffee contest, organised by the Indonesian Coffee Exporters and Industry Association in collaboration with coffee research and Akao Jember. From 2017 until now, Robusta coffee exports to the Netherlands have continued, with a grand total of 94 tonnes. However, Colol Coffee is not widely known by people outside NTT, so this study aims to determine the marketing area of colol coffee outside NTT with the criteria of Accessibility, Market Potential, Logistics, Environmental Conditions, and Security, by considering 9 alternative regions. Multi-criteria decision making (MCDM) involves evaluating decision alternatives with multiple criteria that have different weights according to their importance. The research method uses Analytical Hierarchy Process (AHP) to determine the criteria weights and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to analyse and rank the region alternatives based on their closeness to the ideal solution. The data collection technique uses the interview method with related parties, namely ASNIKOM managers who are decision makers and literature studies as a source of in-depth data that provides a theoretical basis to support the decisions taken. The results showed the highest priority value in the regions of Bali (0.7068), DKI Jakarta (0.5930), West Nusa Tenggara (0.5877), Central Java (0.5762), West Sumatra (0.5651), East Java (0.5298), North Sumatra (0.4284), West Java (0.4003), South Sumatra (0.3095).
Analisis Dan Perancangan Aplikasi Career Center Berbasis Web Dengan Menggunakan Metode Profile Matching Azhar, Muhammad Rifqi; Puspitarani, Yan
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.718

Abstract

The primary purpose of vocational education in the Vocational School (SMK) is to prepare students for work. In this respect, the Career Center plays crusial part in providing students with career guidance and job information. A web-based Career Center application is a relevant solution for improving the accessibility and effectiveness of career services in the modern era. In this study, the Career Center with the Macthing Profile method will help students in finding the right job vacancies according to the skills they have. This career center application is built by collecting data, performing computational analysis, and performing system needs analysis. The application uses the Major, Skill and Domisili as criteria, user profiles with ID P01 and P02 as standard values, as well as vacancy codes V01, V02, V03 and V04 as job vacancies used in the Profile Matching process. From the results of the research obtained jobs with vacancial code V01 which has the highest value for User ID P01, and vacant code V04 that has the most value for user ID P02
Implementasi Metode VIKOR - AHP Dalam Perekrutan Jurnalis pada Kantor Sumut Pos Sweety, Miana; Irawan, Muhammad Dedi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.825

Abstract

Sumut Pos is a company operating in the oldest print media sector with the largest number one circulation published in Medan. The selection stage for recruiting journalists takes a lot of time so the decision-making process takes a long time. The aim of this research is to build a decision support system to make it easier for editorial heads to determine prospective journalists according to their expectations and reduce the time required for the recruitment process. This research uses the AHP and VIKOR (ViseKriterijumska OPT.imizacija I Kompromisno Resenje). methods. There are stages of observation research, literature study interviews, questionnaires, problem identification, system design and implementation. The findings of this study provide editorial administrators with a decision support tool to help with the hiring process
Python For Digital Forensics With Daubert Standard Nugraha, Arya Adhi; Kristomo, Domy
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.792

Abstract

Digital forensics plays a crucial role in modern investigations, where digital evidence often holds the key to solving complex cases. Python, with its versatility and extensive libraries, has emerged as a powerful tool in the realm of digital forensics. This journal explores the integration of Python into digital forensic practices, focusing on its application in conjunction with the Daubert Standard, a legal criterion for the admissibility of expert testimony. The journal begins by outlining the fundamentals of digital forensics, discussing its methodologies and tools. It then delves into the utility of Python in digital forensic investigations, highlighting key libraries and demonstrating its capabilities through practical examples. Furthermore, the journal provides an overview of the current trends in worldwide forensics, emphasizing the increasing reliance on digital evidence and the growing demand for skilled digital forensic practitioners. It explores how advancements in technology and the proliferation of digital devices have expanded the scope and complexity of forensic investigations on a global scale. A thorough examination of the Daubert Standard follows, elucidating its criteria and implications within the legal context of digital forensics. Drawing upon real-world cases, the journal illustrates the application of the Daubert Standard in assessing the reliability and validity of digital forensic evidence. Furthermore, the journal explores the symbiotic relationship between Python and the Daubert Standard, elucidating how Python scripts and methodologies can be designed to meet the rigorous standards of admissibility and reliability mandated by Daubert. Best practices for utilizing Python in a manner consistent with legal requirements are presented, emphasizing the importance of transparency, reproducibility, and peer review. In conclusion, this journal provides insights into the convergence of Python programming, digital forensics, and legal standards, offering a comprehensive framework for practitioners to navigate the complexities of digital investigations while ensuring the integrity of evidence under the Daubert Standard
Deciphering Urban Happiness: Analysis of Machine Learning Approaches for Comprehensive Urban Planning Airlangga, Gregorius
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.741

Abstract

This study embarks on an analytical journey to decode the complexities of urban happiness, leveraging a suite of advanced machine learning models. At the heart of our methodology is the innovative application of CatBoost, Random Forest, Gradient Boosting, and Linear Regression models, each chosen for its distinct ability to navigate the multifaceted nature of our urban dataset. CatBoost is highlighted for its proficiency in managing categorical data, essential in reflecting the diverse elements of urban environments. Concurrently, Random Forest's capability in reducing variance and overfitting, along with Gradient Boosting's precision in optimizing across various loss functions, plays a pivotal role in the accuracy of our predictions. Linear Regression serves as a baseline, offering simplicity and interpretability for comparative analysis. Central to our evaluation is the Root Mean Squared Error (RMSE) metric, providing a quantitative measure of our models' accuracy. This approach is instrumental in translating the intricate relationships within urban data into actionable insights for urban planning and policy-making. Our study not only demonstrates the effectiveness of an ensemble approach in machine learning but also emphasizes the importance of interpretability in model selection and evaluation. The findings offer a comprehensive understanding of urban happiness, serving as a valuable resource for stakeholders in urban development and policy formulation. This research marks a significant stride in harnessing machine learning's potential to enrich urban life quality.
Implementasi Database Terdistribusi Pada Sistem Penggajian CV. Rejeki Jaya Makmur Abadi dengan Metode Replikasi Multimaster Dan Fragmentasi Horizontal Lamidja, Richeldo M. Pitna; Wismarini, Th Dwiati
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.709

Abstract

Information systems and computerized technology are currently developing very rapidly so that this gives an idea of agencies being able to adapt according to the times, one of which is CV Rejeki Jaya Makmur Abadi with various kinds of innovations that are starting to be implemented. Aiming to produce applications that can run on various platforms, sometimes ignoring the value of the information that will be presented. Without realizing it, damage to the data presented can actually result in huge losses. Replication is the process of copying and maintaining database objects, such as tables, in many databases that form a distributed database system. Changes made to one location are recorded and stored locally before being forwarded and applied to every other location. In this article, we will discuss the implementation of database replication in the CV payroll system. eternal prosperous fortune using multimaster replication and horizontal fragmentation methods.
Implementasi Fingerprint Dan Algoritma Riverst Shamir Adleman Untuk Kemanan Data Widiyanto, Max Teja Ajie Cipta
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.816

Abstract

The use of the internet during the pandemic has increased significantly, one of the risks is cyber attacks. Where in the field of online marketing and sales they can sabotage logins. Collect story shop is one of the providers of photography services in the city of Makassar. Currently the process of ordering customer services comes to the office or orders via social media Instagram or WhatsApp so that it has several problems and has not been able to maintain the security and confidentiality of customer data. This study aims to keep the content of the message secret by changing the message to be difficult to understand when sent and unknown to people who have no interest. In this study, fingerprints are implemented for login security. Fingerprint is a technology that uses biometric verification, namely fingerprints, but when the smartphone does not have a fingerprint feature, the data will be secured using the Riverst Shamir Adleman (RSA) algorithm. The RSA algorithm is one of the public key algorithms that has the advantage of a high level of accuracy due to the difficulty of factoring prime numbers. Every data entered into the ordering application is encrypted using the RSA algorithm in the form of numbers stored in the database and will be decrypted again on the application's user interface display. The results show that fingerprints and RSA algorithms can help the process of securing customer data from the results of accuracy testing, so that the contents of secret messages are difficult to understand when sent and are not known by people who are not interested