cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : 25275771     EISSN : 25497839     DOI : 10.30645
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 403 Documents
 21   22   23   24   25 
Monitoring Aktifitas Siswa Menggunakan RFID Terintegran Web Husna, Himayatul; Budiarso, Zuly
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.v9i2.819

Abstract

Student activity at school is an important factor in ensuring security, order and operational efficiency. Student attendance at school is an important element in managing student attendance and ensuring a safe school environment. The proposed system uses RFID technology to simplify the process of recording student attendance automatically, efficiently and accurately. This system consists of two main components, namely RFID readers installed at school entrances and a web-based server. When students pass through a door equipped with an RFID reader, their RFID card will be read, and the student's entry or exit information will be recorded in a database connected to the web platform. On the web platform, users can view student activity reports, access historical data.
Kajian Pertanian Indonesia: Estimasi Perkembangan Ekspor Kopi Menggunakan Algoritma Fletcher-Reeves Safruddin, S; Efendi, Elfin; Batubara, Lokot Ridwan; Purba, Deddy Wahyudin; Hardinata, Jaya Tata
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.v9i1.760

Abstract

Research on coffee exports to main destination countries is important because it provides an in-depth understanding of the markets that are the main focus. This allows governments and businesses to allocate resources efficiently and design appropriate marketing strategies. In addition, this research provides a strong basis for the government in formulating coffee export policies. By monitoring the development of coffee exports to main destination countries, Indonesia can be better prepared to face changes in global market demand and take appropriate steps in responding to market dynamics. . This research will use the Conjugate Gradient Fletcher-Reeves algorithm, which is one of the algorithms of Artificial Neural Networks. The research was analyzed using 3 architectural models, including: 5-5-1, 5-10-1, and 5-15-1. As a result, the 5-5-1 model was selected as the best model, with the highest accuracy of 94% and the lowest MSE of 0.00500142. Higher than the accuracy of the 5-10-1 model which is only 83% with MSE 0.05058359, and 78% accuracy with MSE 0.01975643 on the 5-15-1 model. Based on the estimation results regarding the development of coffee exports according to main destination countries using the 5-5-1 model, the conclusion that can be drawn is that there will likely be a decline in the level of coffee exports to main destination countries in 2024.
Enhancing Medical Diagnostics with Ensemble Machine Learning: A Comparative Study of Gradient Boosting, XGBoost, LightGBM, and Blended Models Airlangga, Gregorius
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.v9i2.842

Abstract

This research investigates the performance of various machine learning models, including Gradient Boosting, AdaBoost, Support Vector Machine (SVM), Logistic Regression, XGBoost, LightGBM, and a Blended Model, in the context of medical diagnostics. The objective of the study is to identify the most accurate and reliable model for predicting outcomes, particularly in cases where the accurate identification of positive instances is critical. The research employs a systematic evaluation using cross-validation and test accuracy metrics to assess each model's performance. Results indicate that ensemble methods, such as Gradient Boosting, XGBoost, and LightGBM, generally outperform simpler models. LightGBM achieved the highest cross-validation accuracy at 89.10%, while the Blended Model demonstrated the potential of combining multiple classifiers, achieving a cross-validation accuracy of 90.19%. However, a common challenge across all models was balancing precision and recall for the positive class, suggesting the need for further optimization. The study concludes that while advanced ensemble methods show promise, enhancing the models' sensitivity to positive cases is crucial for improving their applicability in medical diagnostics. Future research should focus on refining these models to achieve a better balance between precision and recall, ensuring that critical cases are not overlooked.
Prediksi Harga Beras Medium Di Indonesia Dengan Membandingkan Metode Regresi Linear Dan Regresi Polinomial Bilawa, Firdho Akbar; Hikmayanti, Hanny; Rahmat, R
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.v9i2.810

Abstract

Availability of sufficient and equitable food is one of the pillars of realizing national  food security. Rice, as an important aspect of Indonesian food, has a strategic role and its availability must always be ensured. The majority of Indonesian people’s needs are medium types of rice. The price of medium rice fluctuates, but tends to increase over time. Changes in rice prices have a significant impact on people’s lives and can threaten household food security. Predicting the price of medium rice is very important for the Indonesian government to maintain economic stability. It is hoped that the accurate prediction results can be taken into consideration by the Indonesian government in controlling and determining medium rice price policies in Indonesia. The data used is medium rice price data in Indonesia from January 2013 to February 2024, totaling 134 data. The method used to predict rice prices is the linear regression and polynomial regression methods. This research focuses on the applying and comparing the effectiveness of the two methods by considering their accuracy and error rates.  The accuracy of the prediction results is assessed by calculating the MAPE value.  The research result show that both methods have accurate prediction model performance because the MAPE value is less than 10%. The linear regression method can predict the medium rice price more accurately because it has a smaller MAPE value of 6,29%, compared to the polynomial regression method of  6,88%.
Prediksi Kepuasan Pelanggan dengan Algoritma Rough Set Breinda, Engla; Defit, Sarjon; Nurcahyo, Gunadi Widi
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.v9i1.735

Abstract

Bukittinggi, located in West Sumatra Province, hosts approximately 25 computer shops scattered across its various areas. Statistics reveal a proportional distribution of one computer shop per square kilometer within the city limits, intensifying the competition among these establishments. The primary objective of this study is to assess customer satisfaction using the Rough Set Method. Maintaining high levels of customer satisfaction is crucial as it often leads to repeat purchases. The Rough Set Method, renowned for its effectiveness in Knowledge Discovery in Databases (KDD), comprises five key stages: Decision System, Equivalence Class, Discernibility Matrix, Discernibility Matrix Modulo D, Reduction, and General Rule. The dataset utilized in this research originates from HBC Computer Shop in Bukittinggi, comprising records of 96 customers. Through the analysis, a total of 257 rules were generated, facilitating the identification of customer satisfaction levels. Consequently, the findings of this study can serve as valuable insights for HBC Computer Store management in devising marketing strategies to uphold customer satisfaction and effectively compete with similar businesses.
Implementation of Search Engine Optimization on Lampung Tourism Websites Using The On-Page Method Alhafizh, Muhammad Aqil; Ahmad, Imam
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.v9i2.800

Abstract

The tourism sector has become a vital driver of economic growth and social development in various regions, including Lampung. Between 2016 and 2022, Lampung experienced significant fluctuations in tourist numbers, particularly affected by the COVID-19 pandemic. Despite the challenges, the resurgence of tourism in 2022 underscores the importance of effective promotion and visibility, largely facilitated by websites. Search Engine Optimization (SEO) plays a crucial role in enhancing website visibility on Search Engines like Google, Bing, and Yahoo. This research aims to analyze the application of SEO techniques on the Lampung Tourism website. It investigates how on-page SEO methods, such as keyword optimization, meta tags, and website structure, influence website rankings on Google's Search Engine Results Pages (SERP). Additionally, the study examines the impact of appropriate SEO strategies using SEO testing tools. Using a quantitative methodology, specifically an experimental approach, this study implements specific SEO techniques on the Lampung tourism website over a two-month period. Key steps include problem identification, literature review, keyword analysis, on-page SEO implementation, post-testing, and conclusion drawing. The research employs tools like Google Keyword Planner, Yoast SEO, and SEOptimer for data collection, analysis, and optimization. The study demonstrates that the application of on-page SEO techniques effectively improves the ranking of the Lampung Tourism website, contributing to its visibility and competitiveness online.
Perencanaan Strategis SI/TI dengan Metode Ward And Peppard (Studi Kasus Pada Dinas Pendidikan Dan Kebudayaan Purbalingga) Wulandari, Sevira; Fernandez, Sandhy
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.v9i1.726

Abstract

The Education and Culture Office (DINDIKBUD) of Purbalingga Regency is one of the offices in Central Java Province. DINDIKBUD is an institution that functions as an education and culture service under the KEMENDIKBUD. The implementation of Information Systems and Information Technology (SI/TI) as a development in fulfilling the vision and mission at DINDIKBUD needs to be supported by a good plan. Currently, the utilization of SI/TI at DINDIKBUD has not been maximized due to the lack of human resources in the IT field, the lack of integration between SI/TI, the absence of SI/TI priorities, there is no standard operating procedure (SOP) related to SI/TI, and the DINDIKBUD website is not up to date. Data collection used interview method with the Head of DINDIKBUD and some related staff, observation and also studied the existing strategy plan document. This research aims to create a proposed SI/TI strategy document at DINDIKBUD as a long-term guide for the use of SI/TI in carrying out organizational activities and operations. This research is a descriptive qualitative research using Ward and Peppard method. The result of this research is an SI/TI strategy document that contains analysis of internal and external business strengths and weaknesses, analysis of internal and external SI/TI strengths and weaknesses, analysis of current conditions, analysis of future conditions, gap analysis, and preparation of future application portfolios. This strategy planning resulted in 9 SI strategies, 9 IT strategies, and 9 SI/TI management strategies along with a roadmap to map the determination of the strategy implementation year.
Analisis Data Sentimen Kepuasan Pengguna E-Wallet Menggunakan Metode K-Nearest Neighbor Saputra, Muhardi; Hafiz, M.; Situmorang, Indah Permata Sari; Lumbantobing, Gilbert Jonatan; Matullessya, Steven Michael
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.v9i2.833

Abstract

E-Wallet or commonly known as a digital wallet, is an electronic payment service that allows users to conduct financial transactions without physical cards or cash. This research aims to obtain the percentage results of user satisfaction with E-Wallet platform services such as Dana, Ovo, Gopay, and Shopeepay among university students in the city of Medan. This research is using a quantitative approach, where data collection was carried out utilizing Google Forms as the questionnaire medium with 8 assessment indicators for the application with data obtained from 400 respondents. Data processing is using the Machine Learning algorithm K-Nearest Neighbor (K-NN), which is a classification algorithm, with an 80% training data and 20% test data split. The results of this study show that the satisfaction percentage for Dana reached 84%, Ovo has the highest satisfaction percentage at 93%, Gopay at 90%, and Shopeepay at 88%.
Analisis Dan Evaluasi Protokol Keamanan Jaringan Nirkabel Wi-Fi Protected Access 3 dengan Metode Penetration Testing Faishol, Dimas Erisma; Cahyanto, Triawan Adi; Rahman, Miftahur
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.v9i1.749

Abstract

Information and communication technology is something that is integral to life in today's era. One of them is a wireless network. This research uses the Penetration Testing method to analyze the wireless technology security system that we often use every day. Analyzing wireless network security is carried out using the Penetration Testing method by carrying out attacks on a simulated network, the operating system used to carry out testing is Kali Linux. The results of this research show that network security using the WPA3 protocol is still vulnerable to gaps that can be exploited. This hacking test is only for educational purposes, it is not permitted to commit crimes such as stealing personal data of network users. By knowing this security gap, it will be an evaluation to provide better security
Implementasi Decision tree Untuk Prediksi Kanker Paru-Paru Faurika, F; Khudori, Ahsanun Naseh; Haris, M Syauqi
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.v9i1.717

Abstract

Lung cancer is a disorder of the lungs due to changes in respiratory tract epithelial cells which cause uncontrolled cell division and growth. Lung cancer is caused by several factors such as radiation exposure, smoking, heredity, gender, air pollution, and unhealthy lifestyles. Lung cancer can be detected when the cancer has entered an advanced stage. The large amount of lung cancer diagnosis data currently available can be used to predict lung cancer based on patterns in the data. One of the results of technological advances that can learn patterns in data is machine learning, which has currently made many positive contributions in the health sector. This research aims to predict lung cancer using a decision tree algorithm. This research produces rules based on decision trees which are built and then evaluated to produce the same accuracy, precision, recall, and F1-Score of 100%.

Page 23 of 41 | Total Record : 403

 21   22   23   24   25 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol 10, No 2 (2025): Edisi Agustus Vol 10, No 1 (2025): Edisi Februari Vol 9, No 2 (2024): Edisi Agustus Vol 9, No 1 (2024): Edisi Februari Vol 8, No 2 (2023): Edisi Agustus Vol 8, No 1 (2023): Edisi Februari Vol 7, No 1 (2022): Edisi Februari Vol 6, No 2 (2021): Edisi Agustus Vol 6, No 1 (2021): Edisi Februari Vol 5, No 2 (2020): Edisi Agustus Vol 5, No 1 (2020): Edisi Februari Vol 4 (2019): Edisi Juli Vol 3 (2018): Edisi Juli Vol 2 (2017): Edisi Juli Vol 1 (2016): Edisi Juli More Issue