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Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Published by Ikatan Ahli Informatika Indonesia
ISSN : -     EISSN : 25973584     DOI : -
Core Subject : Science,
Computer Science & IT
Seminar Nasional Sistem Informasi dan Teknologi (SISFOTEK) merupakan ajang pertemuan ilmiah, sarana diskusi dan publikasi hasil penelitian maupun penerapan teknologi terkini dari para praktisi, peneliti, akademisi dan umum di bidang sistem informasi dan teknologi dalam artian luas.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 472 Documents
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Analisis Sentimen Pandangan Masyarakat Terhadap Piala Dunia U-17 Menggunakan Teknik Teks Mining Aziz Musthafa; Dihin Muriyatmoko; R Muh Yusril Harmawan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

One of the most loved sports by people around the world is football. Indonesia is one of the countries with the most football fans in the world. Indonesia is one of the countries with the largest number of football fans in the world, with 77% of the Indonesian population interested in football. Based on research analysis, Indonesia was selected to host the 2023 U-17 World Cup. The decision was made after the International Football Federation (FIFA) granted hosting rights. Specifically to the President of the Indonesian Football Federation (PSSI). This research aims to classify public opinion related to the event from twitter social media into 3 class categories, namely neutral, positive and negative. In this research, the methods used are Naïve Bayes algorithm and Support Vector Machine (SVM) algorithm. The classification results show that the naïve bayes method has an accuracy result of 0.73 while for the Support Vector Machine method the accuracy value obtained is 0.84 which shows that Support Vector Machine has better accuracy than Naive Bayes. Based on the model classification, positive sentiment has the highest percentage of other classes with a percentage of 35%, followed by negative sentiment with a percentage of 31% and neutral sentiment is the minority class with a percentage of 33%. From the percentage obtained, it can be concluded that the public has a positive view of the organisation of the U-17 world cup in Indonesia. It is hoped that in the future this research can be improved and implemented better with additional algorithm methods or with a larger amount of data.
Penerapan Pola Arsitektur Model-View-ViewModel pada Aplikasi Pembelajaran Shorof Berbasis Mobile Havidz Muhammad Iqbal; Oddy Virgantara Putra; Dihin Muriyatmoko
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This research aims to develop an Android-based Basic Shorof learning application using Model-View-ViewModel (MVVM) architecture pattern. The background of this research focuses on the difficulties faced by Non KMI students at Darussalam Gontor University in understanding Shorof material, which is a major challenge in Arabic language learning. Many students have difficulty in understanding the basic concepts of Shorof, which is an important component in the overall mastery of the Arabic language. This research method includes data collection through questionnaires distributed to students. The purpose of this data collection was to identify the difficulties faced by students in learning Shorof. Analysis of the questionnaires showed that many students have difficulties in understanding the basic concepts of Shorof. This finding became the basis for the development of a learning application that is easy for students to use. The developed application uses MVVM approach to separate the business logic from the user interface. This approach facilitates future development, testing, and maintenance of the application. The features of this application include learning modules, quizzes, and Arabic vocabulary designed to strengthen students' understanding of Shorof material. Application testing involved a number of students as respondents to measure the effectiveness and efficiency of the application in improving their understanding of Shorof material. The test results showed that students experienced an increase in understanding after using this application. In conclusion, the application of MVVM architecture pattern in the development of Basic Shorof learning application can improve students' understanding effectively. This research is expected to have a positive impact on the development of educational applications in the future. Thus, this application is useful not only for students of Darussalam Gontor University, but also for the development of Arabic learning methods more broadly in various educational institutions.
Implementasi MVVM Dan Framework Jetpack Compose Pada Aplikasi Hukum Berbasis Android Aziz Musthafa; Dihin Muriyatmoko; Abdullah Hikmatyar Priandika
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This research discusses the development of Android-based legal applications using Model-View-ViewModel (MVVM) architecture and Jetpack Compose framework. The purpose of this research is to improve the access and understanding of the Indonesian people to legal aid through an efficient and user-friendly mobile application. The research method used is Software Development Life Cycle (SDLC) with a waterfall model that includes the stages of needs analysis, design, implementation, testing, and maintenance. Data was collected through a questionnaire distributed to 107 respondents aged 17-40 years to measure their understanding of the law and access to legal aid. The results of the analysis showed that 67% of the respondents knew how to get legal aid, but did not know the details of how. The developed app has several key features, such as a list of laws and regulations, AI Q&A, and lawyer consultation. The implementation of Jetpack Compose on the login, register, home, chatbot, regulations, and regulation details pages shows efficiency and ease in developing an interactive and responsive user interface. Application testing is carried out through verification by media experts, application users, and black box tests. The test results show that the application functions properly and meets user needs. The conclusion of this research is that the use of MVVM architecture and Jetpack Compose can speed up the development process and facilitate the maintenance of Android-based legal applications. This application is expected to provide practical and effective solutions in obtaining legal assistance and increasing legal understanding among the people of Indonesia.
Implementasi Deep Learning dalam Pendeteksian Dini Penyakit Alzhaimer Imam Mulyana; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Alzheimer's Disease (AD), is a neurodegenerative condition that develops slowly and generally occurs in older people. The aim of this research is to optimize Deep Learning models so that they can process complex brain imaging data efficiently. The method used involves the use of a CNN (Convolutional Neural Network) network which is trained with a dataset of brain MRI images that have been processed and divided into subsets for training, validation and testing. The data used was taken from the Kaggle platform and processed using augmentation techniques with `ImageDataGenerator`. The research results show that the implemented model is able to achieve high accuracy in detecting structural and functional changes in the brain related to Alzheimer's. The loss and accuracy curves monitored during the training process show a positive trend, with accuracy reaching over 96% in just seven epochs. The main conclusion of this research is that Deep Learning technology has great potential in early detection of Alzheimer's disease, enabling earlier and more effective interventions to prevent or slow the progression of this disease, as well as improving the quality of life of individuals at risk.
Implementasi Business Intelligence dalam Meningkatkan Pembuatan Dashboard dailytracker pada PT.XYZ Ricky Rivandy A’oetpah; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Business intelligence (BI) is a technology infrastructure that analyzes data and generates reports to help managers make decisions. PT XYZ is a company engaged in insurance, which has many employees, especially in the IT and Operations divisions. Problems arise when a lot of employee daily work report data is not decomposed and cannot be analyzed by managers to make a decision. The purpose of this research is to optimize employee daily work report data with business intelligence methods in data visualization so that it can be easily analyzed and can be used as decision-making material for managers. The methods used in the research include analyzing user needs, designing business intelligence systems, implementing business intelligence systems, and testing as well as conducting qualitative methods in the form of interviews as user satisfaction surveys. The results of the application of business intelligence on the dailytracker dashboard at PT XYZ are feasible to use according to employees and managers. And the managers also gave a good response to the strategy implemented which is very informative in displaying data and can assist in analyzing data to make decisions within the company.
Sistem Penunjang Keputusan Penilaian Kinerja Menggunakan Metode Fuzzy Mamdani untuk Menentukan Status Karyawan Lena Magdalena; Ridho Taufiq Subagio; Ida Wati
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Employee performance appraisal is a performance management process in the company that functions as one of the decision-making for employee performance appraisal. At the Cirebon Non-Container Terminal PTP, a performance assessment has been carried out, but there are weaknesses, one of which is an input error in conducting an assessment which can directly change several components of the performance assessment so that the performance assessment decision is not accurate. The creation of a performance appraisal decision support system to determine the status of employees using the fuzzy mamdani method, produces a decision on employee performance appraisal recommendations and serves as a basis for consideration to change the status of employees who are still on contract to permanent employees. In this study, the tool used is Matlab (Matrix Laboratory) to compare the results graphically and the decision support system to be designed. The fuzzy mamdani method is applied with three assessment criteria, namely good, sufficient, and poor, this helps in making monthly decisions regarding the results of performance appraisals which are then recapitulated at the end of the year. The results of the calculation between Matlab and the Decision Support System using the fuzzy mamdani method show that the final score has a difference that is not much different, meaning that the fuzzy mamdani method has proven to be effective for employee performance assessment by producing accurate assessment decisions.
Optimalisasi E-Commerce: Rekomendasi Terkomputerisasi Dan Keputusan Pelanggan Melalui Metode SUS Julius Jerry Nolasco; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The focus of this study is on the development of strategies to optimize E-Commerce performance by enhancing information systems. It highlights recommendation methods, automated calculations, and customer decision-making using the System Usability Scale (SUS) technique. The main objective is to improve the recommendation system, increase information management efficiency, and enhance user satisfaction within an E-Commerce setting. The methods employed include creating a recommendation system based on a product information management model utilizing the K-means algorithm, implementing technology suitability models in accounting information systems, and assessing with a hybrid SUS. Data collection will be crucial in supporting the research's goals. The findings will pinpoint areas for enhancing product recommendation relevance, showcasing user satisfaction, and displaying decision-making effectiveness on the E-Commerce platform. The conclusion stresses the significance of technological integration in shaping the E-Commerce business model and its potential to enrich the online shopping experience. The research proposes that novel marketing strategies in the digital economy era can heighten the competitiveness of E-Commerce companies. This investigation makes a substantial contribution to comprehending and crafting efficient E-Commerce information systems, with vital implications for enhancing business performance and delivering customer value in an ever-changing digital landscape.
Pengembangan Kompetensi Siswa dalam Pembelajaran dengan Menggunakan Metode Game-Based Learning Nicholas Patrick Varian; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Learning in classrooms is often seen as dull and lacking interaction, leading students to lose interest in understanding the material. To combat this, new teaching methods have been introduced, including interactive learning through games. Despite games' potential to boost motivation and engagement, further research is needed to understand Game-Based Learning's (GBL) specific impact on learning experiences, competency development, and student achievements. This study employs a quantitative approach, collecting data via surveys and tests on students using GBL. Hypotheses are tested through statistical analysis. Results reveal GBL's positive influence on students' learning experiences, with increased motivation, engagement, and comprehension of material. GBL also enhances students' competencies and improves learning outcomes. Thus, GBL emerges as an effective method for enhancing learning experiences, developing student competencies, and boosting academic achievements. Integrating GBL into educational curricula is crucial for improving learning quality and student outcomes.
Analisis Performa Dan Optimasi Bandwidth Jaringan Wifi Di Lingkungan Kampus Angga Novita Prasetyo Ningrum; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

WiFi networks have become critical components in supporting academic and administrative activities in higher education institutions. Esa Unggul University, as a growing educational institution, faces challenges in ensuring the quality and reliability of its WiFi network as the number of users and bandwidth requirements increase. This study analyses the performance and optimises the bandwidth of the WiFi network in the Esa Unggul University environment. Through a qualitative approach with a case study, this research collects data through in-depth interviews, direct observations, and technical measurements. Analysis is conducted on access speed, connection stability, and bandwidth capacity in various campus areas. The research results identify several critical points affecting network performance and propose optimisation strategies that include infrastructure upgrades, configuration adjustments, and implementation of effective bandwidth management. The findings and recommendations from this study are expected to improve the quality of internet service at Esa Unggul University, better support academic and administrative activities, and provide valuable insights for other higher education institutions in managing their WiFi network infrastructure.
Penerapan Radio Frequency Identification (RFID) Untuk Efisiensi Inventaris Pada Toko Minimal Irma Tiara; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Minimal is a local Indonesian fashion brand which is famous for its minimalist and modern designs. Minimal's main store is located at Kota Kasablanka Mall, LG Floor, Jl. Casablanca Raya Kav. 88, South Jakarta. Problems arise from inefficient inventory management, such as stock inaccuracies, difficulties in product tracking, and the length of the inventory process. This has a negative impact on the store, including lost potential sales and decreased customer satisfaction. At a minimum, we also don't have an integrated system to manage inventory in real-time across all branches. The aim of this research is to implement an RFID (Radio Frequency Identification) system to increase inventory management efficiency and improve customer service. RFID is a technology that uses radio waves to identify and track objects automatically. Research methods include needs analysis, system design, RFID implementation, and performance evaluation. The results of implementing the RFID system at Minimal stores show a significant increase in inventory accuracy by 98%, a reduction in inventory time by 75%, and an increase in customer satisfaction by 30%.

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