Jurnal Teknik Informatika (JUTIF)
Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, algorithms and computation, and social impact of information and telecommunication technology. Jurnal Teknik Informatika (JUTIF) is published by Informatics Department, Universitas Jenderal Soedirman twice a year, in June and December. All submissions are double-blind reviewed by peer reviewers. All papers must be submitted in BAHASA INDONESIA. JUTIF has P-ISSN : 2723-3863 and E-ISSN : 2723-3871. The journal accepts scientific research articles, review articles, and final project reports from the following fields : Computer systems organization : Computer architecture, embedded system, real-time computing 1. Networks : Network architecture, network protocol, network components, network performance evaluation, network service 2. Security : Cryptography, security services, intrusion detection system, hardware security, network security, information security, application security 3. Software organization : Interpreter, Middleware, Virtual machine, Operating system, Software quality 4. Software notations and tools : Programming paradigm, Programming language, Domain-specific language, Modeling language, Software framework, Integrated development environment 5. Software development : Software development process, Requirements analysis, Software design, Software construction, Software deployment, Software maintenance, Programming team, Open-source model 6. Theory of computation : Model of computation, Computational complexity 7. Algorithms : Algorithm design, Analysis of algorithms 8. Mathematics of computing : Discrete mathematics, Mathematical software, Information theory 9. Information systems : Database management system, Information storage systems, Enterprise information system, Social information systems, Geographic information system, Decision support system, Process control system, Multimedia information system, Data mining, Digital library, Computing platform, Digital marketing, World Wide Web, Information retrieval Human-computer interaction, Interaction design, Social computing, Ubiquitous computing, Visualization, Accessibility 10. Concurrency : Concurrent computing, Parallel computing, Distributed computing 11. Artificial intelligence : Natural language processing, Knowledge representation and reasoning, Computer vision, Automated planning and scheduling, Search methodology, Control method, Philosophy of artificial intelligence, Distributed artificial intelligence 12. Machine learning : Supervised learning, Unsupervised learning, Reinforcement learning, Multi-task learning 13. Graphics : Animation, Rendering, Image manipulation, Graphics processing unit, Mixed reality, Virtual reality, Image compression, Solid modeling 14. Applied computing : E-commerce, Enterprise software, Electronic publishing, Cyberwarfare, Electronic voting, Video game, Word processing, Operations research, Educational technology, Document management.
Articles
962 Documents
WEB-BASED BEAUTY SALON ORDERING INFORMATION SYSTEM AT DREAM SKIN AESTHETIC
Halilatul Muallafa;
Yunita, Irma;
Fatah, Zaehol
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2180
Dream Skin Aesthetic is a business that operates in the field of beauty services, especially facial treatments such as laser, basic facial, facial detox, spot peeling, acne peeling, etc. These service activities are carried out offline, which often causes long queues and inconvenience for customers such as services and maintenance services in general. In offline services, a weakness has been found which has been a problem for the owner all this time, namely the customer queques piling up when they want to carry out maintenance because they wait too long because these customers come directly to the place and don’t do it. Order in advance via telephone or WhatsApp. To overcome this problem, an online ordering and service management system was developed using the waterfall software development method. This system is designed to make it easier for users to access information, place orders and transact online. Apart from that, this system also helps the Dream Skin Aesthetic salon in managing customer data and order data more effectively and efficiently. This research resulted in a good system, as evidenced by reduced queues, increased customer satisfaction based on surveys, and increased salon operational efficiency as seen from more organized management data.
ANALYSIS OF CONTINUANCE USE INTENTION OF TIKTOK AS EDUCATIONAL INFORMATION WITH EXPECTATION CONFIRMATION MODEL (ECM) AND INFORMATION SYSTEM SUCCES MODEL (ISSM)
Nanda Nazira;
Syaifullah, Syaifullah;
Megawati, Megawati;
Saputra, Eki;
Marsal, Arif
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2184
Social media is one of the main technologies currently used by billions of people around the world, especially TikTok. TikTok contains popular content such as comedy, dancing, and increasingly educational information. TikTok presents the #SerunyaBelajar program with 1.4 million posts. Despite the existence of interesting programs, problems were found such as inappropriate keywords about education, short video duration, inconsistent quality of information and distraction. So TikTok needs to focus on user satisfaction and retention by continuing to innovate. The purpose of this study is to measure satisfaction and intention to continue using TikTok as educational information. This study uses 2 models, namely the Expectation Confirmation Model with four variables (confirmation, perceived usefulness, satisfaction, and intention to continue) and the Information System Success Model with two variables (system quality and information quality). Respondents used totaled 96 TikTok users who accessed educational content and were processed using SEM-PLS. This study found that confirmation (T: 19.558) affects perceived usefulness. Thus, many users feel that TikTok provides useful features. In addition, satisfaction (T: 6.364) and continuance intention (T: 3.602) are influenced by perceived usefulness related to TikTok. And satisfaction (T: 3.809) influences TikTok users' continued intention to access educational content..
DEVELOPMENT OF A WEB-BASED TONSEA LANGUAGE CORPUS USING THE EVOLUTIONARY PROTOTYPING METHOD
Conggresco, Sherly;
Rantung, Vivi P.;
Kainde, Quido C.
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2201
Without realising it, when humans increasingly follow technological advances and are only concerned with the demands of the times where technology can coexist with humans, humans sometimes forget to preserve their culture, one of which is local language. One of them is Tonsea language. Tonsea language is a regional language originating from North Sulawesi. The purpose of this study is to research material for Tonsea language corpus linguistics in the preparation of dictionaries and add Tonsea language resources to preserve the Tonsea language by developing a website to analyse the Tonsea language corpus. Corpus analysis can also be used to research or study variations in the use of the Tonsea language because the corpus can help linguists and lexicographers in the preparation of dictionaries in working on dictionary microstructures which include lemmas/sublemmas, word classes, definitions and writing. As a result, there are six key concepts of corpus analysis techniques, namely tokens, word frequency, concordance, collocation, ngrams, and word lists. In the Token feature, the Token can be used by pekamus to create a dictionary and linguists can also analyse the Tonsea language on Ankorsea and for the Concordance, Collocation and Ngram features users can search for keywords to find out the meaning of the use of a language. This research uses the Evolutionary Prototyping method.
WEBSITE-BASED RECOMMENDATIONS FOR TOURIST ATTRACTIONS IN BITUNG CITY USING CONTENT-BASED FILTERING ALGORITHMS
Tambajong, Karmel Daud;
Rantung, Vivi Peggie
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2209
This study aims to develop a website-based recommendation system for tourist attractions in Bitung City, leveraging content-based filtering algorithms. The primary goal of this research is to provide personalized recommendations to tourists, enhancing their travel experience by suggesting attractions that align with their preferences and interests. The methodology involves the implementation of a content-based filtering algorithm, which analyzes the attributes and features of various tourist spots to generate relevant recommendations. The system evaluates factors such as location, type of attraction, available facilities, and user reviews. The results indicate that the content-based filtering approach effectively identifies and suggests tourist attractions that match the users' interests, thereby improving the overall satisfaction of tourists visiting Bitung City. This recommendation system offers a practical solution for tourists seeking tailored travel experiences and contributes to the promotion of local tourism.
DEVELOPMENT OF A WEB-BASED BATAK SIMALUNGUN REGIONAL LANGUAGE CORPUS USING THE RAPID APPLICATION DEVELOPMENT METHOD
Nanda, Agus Estepen;
Rantung, Vivi P;
Santa, Kristofel
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2210
The development of information technology has had a big influence on regional languages. Corpus data stored digitally will be very important in the future. One of the benefits of using corpus data in language analysis is that it can facilitate the process of identifying the most commonly used words or phrases in a language. Currently there are no data analysis results from the Simalungun Batak language corpus that can be utilized by the observers and there is a lack of research on the Simalungun Batak language corpus. This research aims to preserve and increase the resources of the Simalngun Batak language which is implemented in developing a web-based corpus of the Simalungun Batak regional language using the rapid application development method and can later be used by the Pekamus to compile a Simalungun Batak language dictionary. The final result is a website that can analyze the Simalungun regional language and with this website, the observers will easily analyze words from the Batak Simalungun regional language.
ENHANCING EFFICIENCY IN DETERMINING QURAN LEARNING GROUPS: A WEBSITE-BASED K-MEANS ALGORITHM APPROACH AT NURUL JADID ISLAMIC BOARDING SCHOOL
Ikhwan Abdillah;
Andi Wijaya;
Kamil Malik
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2215
This research aims to develop a web-based application system using the K-Means algorithm to group students in Quran coaching at the Nurul Jadid Islamic Boarding School in Paiton, Probolinggo. The need for this system is based on the importance of efficiency and accuracy in determining student coaching groups based on their abilities in reading the Quran, including Tajweed, fluency, and memorization scores. This research method involves data analysis from 412 students. The data is processed using the K-Means algorithm to group students into three skill categories: "Good", "Sufficient", and "Poor". The grouping results provide objective and accurate guidance in determining suitable coaching groups for each student. The research results show that the K-Means algorithm is effective in grouping students, thereby improving the efficiency and accuracy of the coaching process. The implementation of web-based technology facilitates access and use of the system by administrators and coaching participants, ensuring that the grouping and coaching processes become faster, more accurate, and more objective. In conclusion, this research successfully develops a more responsive and efficient Quran coaching system, which not only solves specific problems at the Nurul Jadid Islamic Boarding School but also makes a significant contribution to the development of similar systems in other Islamic educational institutions.
SVM OPTIMIZATION WITH INFORMATION GAIN FEATURE SELECTION TO INCREASE THE ACCURACY OF SENTIMENT ANALYSIS OF INCREASING THE COST OF THE HAJJ
Hidayat, Manarul;
Wibowo, Arief
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2217
Everyone's freedom to express their opinions is now poured into a platform known as social media. This platform allows people in the digital world to communicate with each other using the internet. YouTube is one of the most popular social media platforms worldwide. In 2023, the Government, in this case the Ministry of Religious Affairs of the Republic of Indonesia and Commission VIII of the House of Representatives have approved the Hajj Travel Cost 1444 H/2023 AD with a range of Rp90,050,637.26 per regular pilgrim. In contrast to the government of the Kingdom of Saudi Arabia, which implemented a policy of reducing the cost of the Hajj package by 30% from 2022. This has caused pros and cons to the hajj cost increase. Public opinion on social media is the focus of this research to conduct sentiment analysis. Sentiment analysis has been developed through various methods, but there are still many challenges to produce accurate sentiment analysis. The challenges include accuracy, binary classification, data sparsity, and polarity shift. One of the challenges in improving accuracy is the focus of this research. In this study, the Support Vector Machine method is applied and Information Gain feature selection is added. The accuracy results obtained in this study are the Support Vector Machine method (87%) and Support Vector Machine combine with information gain feature selection (89%). It can be concluded, the support vector machine method combined with information gain feature selection proves an increase in accuracy by 2%.
APPLICATION OF MULTI-TASK CASCADED CONVOLUTIONAL NEURAL NETWORK ALGORITHM IN SCHOOL SUPERVISOR ATTENDANCE SYSTEMS IN THE FIELD OF COMPUTER VISION
Rorimpandey, Gladly C.;
Intan, Sondakh Agnes;
Kainde, Quido C.
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2218
The attendance system used by the Education Department can be said to be still manual. Where they use the Timestamp application to take photos. Where the application only takes faces without detecting the face. Therefore, researchers created a face detection presence system by applying the Multi-Task Cascaded Convolutional Neural Network algorithm using the face-api.min.js library for the face detection process. The aim of this research is to make it easier for school supervisors to manage attendance, so they can provide accurate information. Then, based on the research results, a face detection and location detection system for school supervisors was successfully developed using the Multi-Task Cascaded Convolutional Neural Network (MTCNN) algorithm. From the results of tests carried out using a dataset of 140 images from 28 people with different photos taken (face view, top view, bottom view, left side view, right side view). Test results on the facial presence detection system using the MTCNN (Multi-Task Cascaded Convolutional Neural Network) algorithm succeeded in detecting faces by 100%.
DIGITAL BUSINESS CARD (DiNa) APPLICATION USING CNN ALGORITHM AND OCR TECHNOLOGY AS A FORMAL INTRODUCTION SUGGESTION
Edi Junaedi;
Syabina Nur Pajriyanti;
Muhammad Subali;
Adrian Maulama Ramadhan
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2250
The rapid development of technology makes digital business cards increasingly the first choice as a formal introduction tool that is more environmentally friendly, reducing dependence on the use of paper and ink. In addition to serving as a formal means of introduction, digital business cards are also an effective medium for conveying crucial information about an individual or company. The implementation phase of this application involves the utilization of Optical Character Recognition (OCR) as the main feature, with image pre-processing as a key step to improve reading accuracy, including noise reduction, data normalization, and compression. The process of optical scanning and location segmentation is the main foundation in processing data from Business Card images. The next step includes feature representation and extraction using TensorFlow's OCR technique to process the data efficiently. The integration of the OCR model into the API allows Kotlin-based mobile applications to communicate directly with the OCR model, providing real-time character recognition. The first trial aims to evaluate the accuracy and time taken by the OCR feature in recognizing each text on the Business Card. Tensorflow and Easy-OCR models with 41.86% accuracy were used for object detection and optical character recognition, resulting in a system that is efficient, responsive, and allows model updates without interrupting the main functionality of the application. The app successfully combines eco-friendly aspects with advanced technology, creating a modern solution to meet the needs of effective formal introductions. Thus, this Digital Business Card application is not only an eco-friendly alternative, but also realizes efficiency in retrieving identification information directly through a mobile platform.
IT SERVICE MANAGEMENT SYSTEM AT THE CENTRAL STATISTICAL AGENCY OF NORTH SULAWESI PROVINCE USES EXTREME PROGRAMMING METHODS BASED ON WEBSITE
Supit, Mesiasi Anjelika;
Rantung, Vivi Peggie
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2024.5.4.2261
Information technology is required to enhance efficiency and effectiveness in various operational and service aspects. The research goal is to facilitate employees in submitting IT device maintenance requests and to facilitate IT service administrators at the North Sulawesi Provincial Statistics. The method used is the Extreme Programming method. The Extreme Method Programming has several stages, including planning, system design, coding, and testing. The prepared Management System IT can easily facilitate the employees of BPS North Sulawesi Province to simplify by monitoring and managing IT-related issues and resolving problems related to the manual reporting of goods.