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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal ICT : Information Communication & Technology Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sistim Informasi dan Teknologi AMMA : Jurnal Pengabdian Masyarakat
Dadang Sudrajat
STMIK IKMI Cirebon
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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E-Learning Usability Evaluation Menggunakan Fuzzy Logic dan Usulan Alternatif Desain Interaktif Learning Management System (LMS) Chamilo Arif Rinaldi Dikananda; Harry Budi Santoso; Raditya Danar Dana; Dadang Sudrajat
Jurnal ICT : Information Communication & Technology Vol 18, No 1 (2019): JICT-IKMI, Juli 2019
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v18i1.56

Abstract

E-Learning as well as learning media in general needs to be evaluated to find out and measure how much effectiveness, efficiency and user satisfaction is for the quality of the overall learning process. One effort that can be done to find out and evaluate the quality of learning is to use usability evaluation. Usability measurements require data derived from questionnaires presented using a Likert scale. The data illustrates the perceptions of users who have uncertainties because they are very subjective so they have the potential to cause misinterpretations. Fuzzy logic can be used to evaluate e-Learning reusability because fuzzy logic has the advantage of resolving a problem that contains uncertainty / ambiguity, which in this case is in accordance with the context of usability problems that are often presented in natural languages that have uncertainties, such as "how effective? "," How efficient? "And" how much user satisfaction. By using the Mamdani model Fuzzy Inference an increase in system usability with a score of 3.06 with a membership level of 0.9961 in the Moderate Usability stack. With the application of fuzzy variables and fuzzy rules, the process of evaluating system usability can be done with natural language that is easier to understand.
AnalisaTingkat Kepuasan Mahasiswa Terhadap Layanan Pembelajaran Menggunakan K-Means dan Algoritma Genetika Ade Rizki Rinaldi; Lana Surlanto; Dadang Sudrajat; Dian Ade Kurnia
Jurnal ICT : Information Communication & Technology Vol 18, No 1 (2019): JICT-IKMI, Juli 2019
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v18i1.55

Abstract

The level of student satisfaction with learning services in higher education is one factor in the quality of college learning. To determine the level of student satisfaction with learning services in higher education, it is necessary to analyze the level of student satisfaction with learning services. K-Means method is a technique of grouping data based on the level of similarity of each member. K-Means can be used to classify the student satisfaction index on learning services. The K-Means method can also be optimized with genetic algorithms to determine the best centroid value. K-means optimization with Genetic Algorithms can be used as a technique to determine the level of student satisfaction with learning services. Obtained by Davies Bouldien Index from the K-Means and Genetics method is 1.593 with cluster number 5
Analisis Segmentasi Pelanggan Menggunakan Metode K-Means Clustering Khaerul Anam; Dadang Sudrajat; Dian Ade Kurnia
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Teknologi berbasis computerized dewasa ini dapat diaplikasikan sebagai instrumen pendukung kegiatan pada berbagai bidang usaha dalam rangka mencapai tujuan pekerjaan dengan efektif dan efisien. Teknologi computerized data mining dibutuhkan untuk membantu kegiatan promosi dengan membuat segmentasi pelanggan berdasarkan data transaksi sebelumnya. Segmentasi pelanggan dapat dimanfaatkan sebagai indikator nilai pelanggan (customer value), dalam hal ini perusahaan akan dapat menilai kelompok pelanggan mana yang memberikan keuntungan besar bagi perusahaan. Penelitian ini bertujuan untuk membuat segmentasi pelanggan dari sebuah supermarket dengan K-Means clustering. Hasil eksperimen clustering didapatkan nilai k = 2 sebagai cluster terbaik dengan nilai DBI 0,527 dan nilai centroid distance 1,4821. Kelompok data pada Cluster 0 berjumlah 109 data sedangkan pada cluster 1 berjumlah 231 data dan total semua data adalah 340. Segmen data dari hasil clustering dideskripsikan menjadi segmen konsumen prioritas dan dan konsumen biasa yang dapat menjadi informasi pendukung untuk divisi marketing dalam menentukan strategi pemasaran yang relevan dengan konsumen untuk meningkatkan Customer Lifetime Value.
The Implementation of Data Mining Method Using K-Means Algorithm to Analyze Study Interest of High School Students Dadang Sudrajat; Arif Rinaldi Dikananda; Abrar Hiswara; Rinovian Rais; Amat Suroso
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.209

Abstract

At present, the school is experiencing difficulties processing the results of student academic achievement for the specialization process for high school students. The currently running student interest process still uses a manual system by calculating the subject value of each student and then grouping the results of the calculation of each student's value into science or social studies interest groups in accordance with the requirements imposed by the school. For that, we need a solution that can overcome these difficulties. The author develops the application using the Rapid Application Development (RAD) method, which consists of the requirements planning phase, the design phase, the construction phase, and the implementation phase. At the construction stage, the K-Means algorithm is implemented in data mining technology to classify student academic achievement results into science and social studies interest groups. The results of making this application are intended for the school, especially the homeroom teacher, so that it can be an alternative solution or advice in making decisions for student specialization.
Aplikasi Pembuatan Form Ekspor Pajak Berbasis Web Di PT. XYZ Zen Munawar; Dadang Sudrajat; Rudi Kurniawan; Ajudin; Novianti Indah Putri
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

PT. XYZ Indonesia is a subsidiary of M Inc which operates in the fashion doll sector which produces children's toys such as Barbie dolls and Hot Wheels toy cars. This company still uses Microsoft Excel to create Tax Export Forms, but this system still has weaknesses because it takes a long time and is less efficient. The aim of this research is to determine system constraints and the solutions needed to overcome these constraints. The research was conducted using the SDLC or Software Development Life Cycle methodology with a waterfall model. The data collection techniques used were literature studies, field studies and interviews. The result of the research carried out is the design of a Web-Based Export Tax Form application using the Asp.Net MVC framework. With this system it is hoped that it can improve the performance of Finance staff.
Analisis Bibliometrik: Pemetaan Penelitian Machine Learning dalam E-commerce Berdasarkan Data dari Scopus (2019-2024) Yudhistira Arie Wijaya; Dadang Sudrajat
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This study explores the application of machine learning in e-commerce using descriptive and visual bibliometric analysis methods. Data were collected from the Scopus database for the period 2019–2024 through five stages: defining search keywords, initial search results, refinement of the search results, compiling statistics on the initial data, and data analysis. The findings indicate a significant increase in publications from 2020 to 2023, peaking in 2023, followed by a decline in 2024. IEEE Access and the International Journal of Advanced Computer Science and Applications are the main sources of publications, with India and China standing out as the countries with the highest number of publications. International research collaboration shows significant growth, and co-word analysis identifies “machine learning” as a central topic closely linked with “electronic commerce” and “learning systems." Citation trends reveal that highly cited publications have a significant impact. These findings provide comprehensive insights into the development and contributions of research in machine learning for e-commerce, with important implications for researchers and industry practitioners in addressing new challenges and opportunities.
Bibliometric Analysis Impact of Machine Learning on Mental Health in Student Learning Fadhil Muhammad Basysyar; Dadang Sudrajat; Gifthera Dwilestari
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The integration of machine learning in educational settings offers promising avenues for addressing mental health challenges among students [1]. This study conducts a bibliometric analysis to explore the impact of machine learning on mental health within student learning environments. By systematically reviewing peer-reviewed articles, conference papers, and relevant literature from the past decade, this research identifies key trends, challenges, and opportunities in this emerging field. The study focuses on the effectiveness of different machine learning methodologies in detecting, diagnosing, and intervening in mental health issues, highlighting the potential for early identification and personalized support. Furthermore, it addresses critical concerns related to data privacy, ethical considerations, and algorithmic biases, which are paramount for the responsible deployment of these technologies. The findings reveal significant advancements in the application of natural language processing and wearable technology data for mental health monitoring. However, gaps remain in longitudinal studies and the consideration of cultural and contextual factors. This research contributes to the existing body of knowledge by providing a comprehensive overview and identifying directions for future research, ultimately aiming to enhance the well-being and academic performance of students through innovative machine learning solutions.
Bibliometrik Analisis: Teknologi Permainan Bidang Pendidikan Pada Sekolah Menengah Pertama Rudi Kurniawan; Dadang Sudrajat
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This study explores the use of game technology to enhance learning motivation and engagement among junior high school students in Indonesia. The background of the problem indicates low levels of learning motivation and student engagement in conventional learning processes. The root of this problem is linked to traditional teaching methods that are less engaging for students. This study aims to evaluate the effectiveness of game technology in addressing this issue. The research method employed a mixed methods approach involving a literature review, the development of educational game modules, and case studies in several junior high schools in Indonesia. The data used includes surveys on students' learning motivation, observations of student engagement, and interviews with teachers. The study also collected qualitative data from students' firsthand experiences in using game technology in learning. The results of the study demonstrate that the integration of game technology into the junior high school curriculum significantly increases students' learning motivation and engagement. Students who used educational games showed increased interest in the subject matter, were more active in class participation, and had a better understanding of the concepts taught. This study concludes that game technology is an effective tool for improving the quality of education in junior high schools and recommends a broader adoption of this technology in the Indonesian education system.
Bibliometrik Analysis: Konten Video Untuk Meningkatkan Daya Tarik Pariwisata Arif Rinaldi Dikananda; Dadang Sudrajat; Fatihanursari Dikananda; Rudi Kurniawan; Martanto
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The use of video content as a marketing tool in the tourism industry has seen a significant increase in recent years. This research aims to explore and develop effective video content strategies in increasing tourism appeal and influencing tourists' decisions to visit certain destinations. Research methods include bibliometric analysis of video content used in tourism marketing, as well as experiments to test the effectiveness of various video content strategies. The results of the study show that the characteristics of travel vlogs that include personal narratives, attractive visuals, and relevant information can increase user travel intentions. Additionally, audience engagement through short videos has proven to be a key factor in increasing travel interest. This research makes a new contribution in understanding the role of video content in tourism marketing and developing a video marketing strategy model that can be applied by the tourism industry to increase the attractiveness of tourist destinations. By utilizing the results of this study, the tourism industry can optimize the use of video content to reach a wider audience and increase positive perceptions of tourist destinations.
Bibliometrik Analisis: Brand Awareness Program Studi Diploma 3 Pada Database Scopus Bani Nurhakim; Dadang Sudrajat
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This research aims to analyze the factors influencing brand awareness in the Diploma 3 program and to develop effective marketing strategies to enhance that awareness. The background of this study is based on the importance of brand awareness in influencing prospective students' decisions and public perception of the quality and reputation of educational institutions. This research employs survey and interview methods involving students, prospective students, and marketing staff from several higher education institutions in Indonesia. The data obtained were analyzed using statistical methods to identify the main factors affecting brand awareness. The results indicate that digital marketing and social media marketing play a significant role in increasing brand awareness of the Diploma 3 program. Consistent, innovative, and effective marketing strategies through social media have been proven to enhance recognition and appeal of the study program in the eyes of prospective students. This research makes an important contribution to the development of educational marketing strategies and offers new approaches to enhancing brand awareness of the Diploma 3 program. Thus, the results of this study are expected to assist educational institutions in increasing enrollment and retaining students by improving effective brand awareness
Co-Authors Abrar Hiswara Ade Rizki Rinaldi Ahmad Faqih Ahmad Rifai Ajudin Arif Rinaldi Dikananda Arif Rinaldi Dikananda Bani Nurhakim Bani Nurhakim Cep Lukman Rohmat Dian Ade Kurnia Dian Ade Kurnia Fadhil Muhammad Basysyar Fatihanursari Dikananda Gifthera Dwilestari Harry Budi Santoso Hery Widijanto Jayawarsa, A.A. Ketut Khaerul Anam Lana Surlanto Martanto Nisa Dienwati Nuris Novianti Indah Putri Odi Nurdiawan Raditya Danar Dana Rinovian Rais Riri Narasati Rudi Kurniawan Saeful Amri Selvi Andini suroso, amat Suteja Syaiful Imanudin Ujang Supriatna Yudhistira Arie Wijaya Zen Munawar