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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
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Penerapan Data Mining dengan Algoritma Apriori Pada Data Penjualan Obat Untuk Mengetahui Pola Pembelian Obat Pada Apotek Di Kota Nabire Wati, Olfiana; Juita, Ratna; Marlinda, M
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.v9i1.752

Abstract

There are quite a lot of pharmacies in the city of Nabire where they sell various kinds of health medicines such as chemical, herbal, and other drugs. In addition, there are also pharmacies that serve drug consultations, doctor services, health checks, and so on. The problem that occurs in pharmacies today is the lack of adequate drug supplies, namely where often the sale of drugs desired by consumers or the public does not exist or runs out, resulting in these consumers moving from one pharmacy to another. This makes service slow to consumers and reduces the level of sales in pharmacies. Knowing drug purchasing patterns can provide information about consumer habits in buying drugs so that it can provide insight into service improvement, proper drug supply, and can understand disease trends in a region. This can be done by utilizing drug sales data in pharmacies using data mining techniques, a priori algorithm association methods. The final result found 4 association rules with a minimum value of support of 30% and a minimum value of confidence of 50% with calculations using Microsof excel and using the Ripedminer application If you buy Mefenamic and Grantussive Acid, you will buy Bodrex with support 34.21%, confident 58.81%, lift ratio of 1.00. If you buy Mefenamic Acid and Dexa, then buy Bodrex with a support value of 36.09%, a confident value of 62.04%, a lift ratio of 1.05. If you buy Mefenamic Acid and Dexa, then buy Paracetamol with a support value of 31.42%, a confident value of 68.85%, a lift ratio of 1.43. If you buy Mefenamic Acid and Dexa, then buy Amoxilin with a support value of 31.01%, a confident value of 68.04%, a lift ratio of 1.44.
Implementasi Association Rules Untuk Market Basket Analysis Pada Toko “Hanael Embroidery” Pangestu, Dimas; Mardiansyah, Viddi
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.v9i1.720

Abstract

The extremely tight competition in the business world means that business people must consider the best strategies to face competition. The most appropriate and competitive strategy now is to use information technology. The Hanael Embroidery Shop wants to increase the sales of its products so that it can be taken into account by other business competitors. In its daily life, the Hanael Embroidery Shop employs administrative staff to manage product sales and find the most sold products. Determining the layout and combination of goods based on consumer purchasing tendencies is one of the shop's solutions in developing the right marketing strategy to increase sales. This shop needs an application that can display product sales reports, making it easier for shop selectors to determine the proper promotion for the product. This paper will test the use of data mining using the Apriori Algorithm method to find the frequency of itemsets in a data set. A priori algorithm method that can adjust input values according to the criteria for items that have predetermined support and confidence values. The Apriori algorithm is a data mining algorithm that can be used in association rules to determine frequent itemsets that function to help find patterns in data. By using the Apriori algorithm, we obtained a group of shop products that are frequently purchased by customers, namely "Salvia Sweater", "Hoya Sweater", and "Lupine Clutch Bag Embroidery". This association is obtained with a minimum support value of 10% and a confidence value of 20% from 357 transactions. Based on the results of the tests that have been carried out, the designed application is successful. It can provide input and information on product combinations that shop customers often purchase.
Penggunaan Retrospective Think Aloud Dan System Usability Scale Pada Edlink Mobile pada Universitas Primakara Gunawan, Putu Amelia Chrysilla; Utami, Nengah Widya; Dewi, Eka Grana Aristyana
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.v9i2.827

Abstract

One of the IT campuses in Denpasar - Bali, Primakara University has used e-learning to help activities for the campus community, especially students. Primakara initially used Moodle-based e-learning called SPADA, then used Edlink when its status changed to a university. To find out students' difficulties when using Edlink mobile, it is necessary to carry out a usability evaluation. Usability can identify problems with the system design that can be experienced by users so that they can be corrected and minimize user errors. The use of the RTA technique is to determine the obstacles or problems experienced by users, while the SUS technique is to determine the level of user satisfaction. From the RTA technique, it can be seen that most of the problems faced by users are difficulty finding features because their location is hidden or the name does not match the purpose of the feature. The level of user satisfaction also shows poor results because the user's SUS score is 56.24. This score is included in grade D with an OK category, a marginal level of user acceptance, and a detractor net promote score. It can be concluded that the results of the usability evaluation of Edlink mobile at Primakara University are not good so improvements or reassessment are recommended to improve the quality of Edlink mobile.
Monthly Bookkeeping Report System Website Based Waterfall Method On Vinny Kitchen MDO Shop Rumondor, Aaron; Rosita, Ai
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.v9i1.743

Abstract

The Vinny Kitchen Mdo company is a private, family-owned business which is engaged in the production of bread and various types of cakes. This business was developed by the owner herself and operates independently so that the available systems are still in conventional or manual form. One example is a cashier system that still uses manual calculations using a calculator. Transaction calculations that are still manual often experience errors in goods data collection and monthly income calculations. Therefore, it is hoped that the design of the cashier application can help the admin or cashier process to provide services automatically to customers or shop owners so that it does not take time to calculate income or stock manually. This system is also capable of presenting monthly reports in the shop so that they can be recorded. The method used in this system is the Waterfall Method, namely a systematic and sequential process model so that it can be designed in a structured manner. This cashier system was created using a web-based application model, making it easy for admins and cashiers to calculate sales and availability of goods automatically.
Perancangan Sistem Informasi Data Radio Inventory Berbasis Web pada PT Nusa Halmahera Minerals Sujiman, Iswahyuni; Sitokdana, Melkior N.N.
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.v9i1.711

Abstract

PT Nusa Halmahera Minerals is a gold mining business with an underground system in a very large location. Because of the large development, more and more data is managed every day with location points between office buildings, mines, and each employee is far apart. This causes data collection to be less real time and there are problems in separating data that has been used from that which has not been used in radio searches. The aim of this research is to create an information system that is able to solve this problem so that in the future all data can be accessed in one system so that employees can access it easily so that the data they have is used more efficiently and is easily accessed from any point of work location. The methodology of this research is interviews and direct observation in the field to analyze system requirements and to create a system using the waterfall method up to the testing stage. With the results of system analysis, UML modeling, and designed activity diagrams, this research succeeded in building an information system website that manages radio inventory data which can be accessed by any employee who has a user ID.
Time Series Implementation for Sales Forecasting of Furniture Products at PT XYZ Pramastya, Pragnanta Yopie; Mailoa, Evangs
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.v9i2.818

Abstract

PT XYZ is an importer, distributor, and seller of furniture. The company operates in two business lines: B2B (Business to Business) and B2C (Business to Consumer). The B2B segment is divided into Agents/Local Distributors, Modern Trade, and Partner Retail Stores, while the B2C segment is divided into Direct Sales and Online Intermediaries. This study applies the Time Series method to forecast future furniture sales using the SARIMA (Seasonal Autoregressive Integrated Moving Average) model. The results of the study using the SARIMA model provide sales forecasts from 2024 to 2026.
Rancang Bangun Sistem Pakar Backward Chaining Untuk Antisipasi Hama Tumbuhan Kedelai Resnawita, R; Siregar, Diffri Solihin; Adawiyah, Quratih; Defit, Sarjon
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.v9i1.759

Abstract

Soybeans are an important source of protein in Indonesia. Soybean cultivation in Indonesia faces difficulties posed by climate-related elements that create an ideal environment for the proliferation of various pest species, including those that attack leaves and pods. An expert system is a computing system designed to replicate all aspects of expert capacity in decision making. The Backward Chaining method is an approach where the reasoning process begins with the goal or conclusion to be achieved. This research aims to build a system to provide anticipation in dealing with soybean plant diseases and pests. The results of this expert system research support consultations by uploading photos as a consultation medium. Administrators have the ability to manage soybean crop data in the knowledge base, including adding, editing, and deleting data. The expert system is able to display diagnoses accompanied by complete prevention and management solutions for identified symptoms
Enhancing the Diagnosis of Gestational Diabetes Mellitus: A Comparative Study of Deep Learning and Traditional Machine Learning Models on Imbalanced Datasets 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.v9i2.841

Abstract

This study aims to diagnose gestational diabetes mellitus (GDM) using advanced deep learning and traditional machine learning models, focusing on handling imbalanced datasets. The research objective is to develop models that can accurately classify GDM cases, which are often underrepresented in medical datasets. The methodology involves the use of both deep learning models, such as the Advanced Hybrid Model and Voting Model, and traditional machine learning models, including Random Forest, Gradient Boosting, and LightGBM. These models were trained on a balanced dataset achieved through the Synthetic Minority Over-sampling Technique (SMOTE) and evaluated using cross-validation and test accuracy metrics. The results indicated that the deep learning models achieved high cross-validation accuracy but faced challenges in classifying GDM cases on the test set, with lower precision and recall for the minority class. Traditional machine learning models also demonstrated strong performance but similarly struggled with sensitivity towards GDM cases. The study concludes that while these models show promise in diagnosing GDM, further refinement is necessary to improve their ability to handle imbalanced datasets. Future research should explore advanced techniques to enhance the detection of GDM cases, contributing to more reliable and accurate medical diagnostics.
Penerapan Sistem Informasi Perpustakaan Berbasis Web Pada SDS prabhudy PWKI Mahulae, Mayanti Astika; Marbun, Nasib
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.v9i2.809

Abstract

This research aims to develop a web-based library information system at Prabhudy Pwki Elementary School. Currently, SDS Prabhudy Pwki faces problems in managing library data using manual methods that are less effective and prone to errors in data processing, frequent data redundancies, and data loss. The method used to develop a web-based library information system in this research is the waterfall method. The tool used in building a web-based library information system in this study is the PHP programming language: Hypertext Preprocessor and MySQL database. The results of this study concluded that the web-based library information system developed in this study can solve the problems faced by the library staff at SDS Prabhudy Pwki when still using manual methods in managing book data, member data, book borrowing data, and book return data. In addition, this research is also expected to be an accurate reference for further researchers who discuss the development of web-based library information systems in other research sites..
Penerapan Metode AHP-TOPSIS Dalam Pemilihan Siswa Berprestasi Di SMAN 1 Dumai Suri, Melati Rahma; Nurcahyo, Gunadi Widi; Hendrik, Billy
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.v9i1.734

Abstract

The system used by schools in selecting outstanding students is still calculated manually, making it prone to errors in calculating the selection of outstanding students. Therefore, a new system is needed, namely a decision support system for selecting outstanding students. The aim of this research is to produce a system for determining students who have the right to enter superior classes. In this study, data from 73 grade 11 students was used using the AHP-TOPSIS combination method. In this research, there are two additional criteria, namely interview scores and psychological scores. The addition of these two criteria is because to enter the superior class you not only have to be outstanding but also have strong interpersonal skills. The results provided by testing 73 student data manually and system testing gave a difference of 24% for the superior class of Mathematics and Natural Sciences and 16% for the superior class of Social Sciences where there were 6 students in the Mathematics and Natural Sciences class and 4 students in the Social Sciences class who were entitled to enter the superior class. but there are no results provided by the old system. The differences produced by the new system and also two additional criteria are able to provide better results in determining outstanding students.

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