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J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : 25489771     EISSN : 25497200     DOI : http://dx.doi.org/10.30645/j-sakti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy
J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelegence, 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 499 Documents
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Implementasi Metode Decision Tree pada Sistem Prediksi Status Gizi Balita Kurniawan, Dasilva Nike Aria; Maryam, M
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.681

Abstract

Examination of the nutritional status of toddlers is one way to monitor and identify toddlers who are at risk of experiencing nutritional problems. Implementation of the method in predicting nutritional status using relevant parameters. The Decision Tree method is used as a predictive model, using a dataset with parameters such as age, sex, height, weight, and nutritional status as labels. At the mining stage, data processing starts from preprocessing, namely the cleansing process to clean up incorrect data and data transformation to change the data type so that it is easy to process during the classification process. Furthermore, the Decision Tree model will be trained, tested and measured based on accuracy. The model is described in the form of a decision tree so that it can be used as a rule in system implementation. The implementation results provide accurate predictions with an accuracy value of 92.73%. The prediction system is designed to assist health workers in supporting decisions on predicting the nutritional status of children under five, as well as facilitating the community to carry out independent checks. This prediction can help identify toddlers at risk of nutritional disorders so that early intervention steps can be taken appropriately..
Analisis Data Nilai Siswa Kelas 8 Berbasis Nilai Pengetahuan Untuk Menentukan Siswa Berprestasi dengan K-Means Clustering (Kasus SMP Negeri 4 Salatiga) Saputra, Denny Agusto; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.672

Abstract

This study aims to analyze data on grade 8 students who excel at SMP Negeri 4 Salatiga using the K-Means Clustering method. The purpose of this analysis is to identify student group patterns based on student academic achievement. The data used in this research are grade 8 students' grades from SMP Negeri 4 Salatiga. The K-Means Clustering method is used to divide students into groups that have comfort in academic achievement. The results showed that there were 35 students who received the highest score when presented, the results obtained were 14.5%, while 35 students who received medium scores when presented, the results obtained were 14.5%, and 172 students who obtained the highest scores if presented, the results obtained were 71%, with the lowest score of a total of 242 students.
Aplikasi Web Untuk Visualisasi Web Scraping Menggunakan Metode VSM Nurkholis, Andi; Fernando, Yusra; Ans, Faris Arkan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.663

Abstract

The internet, like the workplace, is at the heart of every aspect of communal life in the modern digital era. Many platforms already provide job vacancies, especially for independent contractors. To identify relevant job openings, consumers typically need to access multiple websites to gather this information. One way to overcome this problem is to use web scraping. BeautifulSoup and Selenium libraries will be used to collect data in accordance with previous research findings. The vector space model approach is used to determine the degree of data similarity between queries and documents to perform data searches. After examining the data, a mean accuracy value of 56% was obtained and a mean perfect recall value of 100%. This is because, even if the context does not match, data searches use three parameters, increasing the likelihood of returning irrelevant material if the document contains words from the user's query. Users can manage the processes of web scraping, data processing, and data searching with the help of the Streamlit framework in Python, which displays the results of data processing. To obtain data from the Sribulancer, Project and freelancing freelancer websites, this research will use web scraping techniques. Users can search for data from multiple websites using a vector space model approach rather than accessing each loose website one by one. Web scraping results can also be processed to be displayed in a more user-friendly format and save time by using data visualization in the form of a web application built using the Streamlit framework.
Perancangan Enterprise Architecture Sistem Informasi Toko Buah Berbasis Website dengan Framework TOGAF ADM Putri, Andini Wangsa; Saepudin, Sudin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.768

Abstract

Technology has become an integral element in modern business transformation, and plays a key role in improving operational efficiency. Toko Aneka Buah Ciaul is a business in the field of service that provides various types of fruits located on Jalan R.A. Kosasih Ciaul Subang Jaya, Kec.Cikole Kota Sukabumi, West Java. This store is one of the business entities that has not implemented SI/IT thoroughly. In its business activities, it still uses conventional methods, namely in the process of buying fruit consumers directly come to the store and in recording finances, procurement, inventory, and sales the owner only relies on notebooks and calculators. Of course, in this problem, information systems can be used as a solution. So in this study the author designed a Website-based Toko Buah Information System Enterprise Architecture using the TOGAF ADM framework with a focus on Premliminary Phase, Architecture Vision, Business Architecture, Information System Architecture, and Technology Architecture customized based on needs. The results of this research are in the form of a blueprint that includes the process of designing the system and the resulting technology. This research is expected to be used as a reference for store owners in making systems, with the aim of increasing efficiency and simplifying business processes in the future.
Artificial Neural Network Untuk Prediksi Kelulusan Calon Peserta Didik Baru (Studi Kasus: MAN 1 Padangsidimpuan) Gaja, Rizqi Nusabbih Hidayatullah; Karseno, Doni; Rijal, Amir Salim Khairul; Juliantho, Dwana Abdi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.782

Abstract

There is fierce rivalry amongst schools as a result of competitiveness in the educational field. Therefore, the processing of an educational institution must keep up with technological advancements. Artificial intelligence (AI) and intelligent systems, sometimes called AI systems, are used to simulate human-like critical thinking and intelligent behavior. A popular technique for categorization and prediction is the artificial neural network. MAN 1 Padangsidimpuan faces the challenge of determining whether new students will graduate because each year's quota of applications is exceeded. In this study, potential new students at MAN 1 Padangsidimpuan will have their graduation dates predicted, and the degree of prediction accuracy will be assessed. Artificial Neural Networks are the research approach employed in this study. The steps that are completed include problem formulation and identification, literature review, data gathering, pre-processing, processing, and assessment. Data about potential new students for the academic year 2023–2024 was utilized in this study. The study's findings demonstrate that the neural network model produces outcomes that are 6-6-2 (6 input neurons, 6 hidden layers, and 2 output neurons). 97.31% was the greatest accuracy performance level attained, while 90.30% was the lowest. 615 people made the most accurate predictions, while 569 people made the fewest accurate ones. There were 17 forecasts that were wrong the least and 63 wrong predictions the most.
Analisis Sentimen Pada Ulasan Produk UNIQLO dengan Algoritma Naive Bayes Amelia, Eneng Elsa; Yustiana, Indra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.773

Abstract

Sentiment analysis is provided by internet users on social media to express personal assessments or opinions. One of the brands that often receives sentiment from users on social media is Uniqlo. Sentiment opinions play a crucial role. In the context of business and information technology, sentiment analysis is often applied to product reviews, customer service, or consumer responses on social media to gather information about how the public perceives a product or brand, which is valuable for both other customers and the store. Currently, the activity of providing product reviews, often referred to as reviews, is gaining attention from many parties and becoming a profession of choice. However, becoming a reviewer requires genuine experience and expertise in the field. This is because reviews, in the form of critiques and suggestions, must be conducted with careful consideration. Those who conduct reviews will adhere to the principles of analysis and facts rather than arbitrary opinions. Reviews, although in the form of concise summaries, can be very useful in various fields, from marketing to the arts. Reviews are a form of evaluation or assessment of a product, service, work of art, book, film, place, or anything else. It involves giving personal opinions or perspectives based on personal experience or knowledge of the subject being reviewed. Reviews can be positive, negative, or neutral depending on the experience, views, or individual perspectives of the reviewer. By using Text Mining classification methods, it is possible to determine whether a sentiment is positive, neutral, or negative. One widely used algorithm in sentiment analysis is the Naïve Bayes classification method.
Artificial Intelligence: Solusi Pembelajaran Era Digital 5.0 Anas, Iqbal; Zakir, Supratman
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.764

Abstract

This research discusses Digital Era 5.0 learning solutions, namely the benefits that can be provided by the presence of artificial intelligence in the development of science and technology. Artificial intelligence (AI) is a computer program designed and built to mimic human intelligence, including decision-making ability, logic, and other characteristics of intelligence. Artificial intelligence as a learning solution for the digital era 5.0 is here to improve teaching and learning and innovation in learning implementation. The results of this research show that AI support is needed in the world of education and learning, including for personalized learning, this system can analyze the strengths and weaknesses of students to provide material that suits their level of understanding. AI can also be utilized as real time feedback in learning, also utilized for interactive teaching, data management and administration in education and teaching, as a virtual tutor. AI can also be used for fraud detection and 21st century skills development. AI as an access to education is implemented in the form of distance learning can be in the form of e-learning, learning curriculum development and can simplify and ease the burden that teachers can do in the learning process.
Pengujian Aplikasi Invoice Untuk Freelancer Small Business Berbasis Web Dengan Metode Blackbox Shintania, Mira; Ananda, Angga Thifal; Perdana, Anggi; Fadlurrohman, Muhammad Shiddiq; Zy, Ahmad Turmudi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.778

Abstract

Freelancers and small businesses often require invoices for their business operations, whether it be for collaboration with larger companies or for recording transactions and invoicing clients. Testing is conducted using the Black Box Testing method with the Equivalence Partitions technique. The goal is to determine whether the system functions as intended, ensuring that users do not encounter any issues. The results of this testing reveal no functional errors, and it can be concluded that the system is operating smoothly and ready for use.
Rancangbangun Sistem Informasi E-Booking Jasa Salon Berbasis Web Purwatiningtyas, P; Ziana, Liana Rahma; Wahyudi, Eko Nur; Listiyono, Hersatoto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.769

Abstract

The increasing development of information technology causes technology to play an important role in the progress of a company's business processes. This development also has an impact on salon business people. Salon is a place for hair and skin care to beautify your appearance. Meanwhile, currently many salons still use manual methods, namely queuing according to arrival when they want to be served, resulting in queues building up and data management also relying on the notebook method. Therefore, salons need a good booking system to improve customer service. The methodology used to build this system is the Waterfall model with stages of systems engineering, analysis, design, implementation and testing. The Web-Based Salon Services E-Booking Information System uses the PHP, XAMPP and MySQL programming languages as the DBMS to run the database. The Web-Based Salon E-booking Information System uses a database with 7 tables, namely admin, user, user role, category, service, booking, complaint. Based on testing and observations on the Web-based Salon E-booking Information System that has been created, it is concluded that the web-based salon E-booking information system is in accordance with what has been determined, namely in accordance with user needs. Meanwhile, the recommendation for a web-based e-booking information system for salon services is that this system can add a login feature for customers if the salon already has many customers and add a data back-up feature to avoid data loss if damage occurs to the storage system.
The concept of intelligent gamification, virtual reality & artificial intelligence (AI) to face the pandemic in education Wibowo, Sasono; Gamayanto, Indra; Arifin, Zaenal
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.783

Abstract

When facing a pandemic, education experienced a considerable surprise, where many things made us not expect this to happen. This results in several problems, such as educational institutions needing more time to be ready when facing the cessation of the teaching and learning process, information technology infrastructure suddenly being used to its maximum capacity, and human resources, which in some educational institutions may not be ready. In this research, we will use innovation profiling to implement pandemic learning systems in 2024. If it happens again, this framework will help us see the big picture when dealing with a pandemic. This research results from the 2024 pandemic learning systems framework, in which stages for overcoming the pandemic significantly influence the teaching and learning process in education. Therefore, we need to increase our readiness to face all of this. It is essential to do so that the teaching and learning process will continue to run well and by the learning outcomes set by each institution.

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