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All Journal JURSIMA (Jurnal Sistem Informasi dan Manajemen) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) JURSIMA
Fadhil Muhammad Basysyar
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences

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PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATERI PENDIDIKAN AGAMA ISLAM BERBASIS ANDROID UNTUK KELAS 4 SEKOLAH DASAR Roni Faturany; Umi Hayati; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.381

Abstract

The purpose of this study is to create an interactive learning medium based on Android. using Adobe flash cs6 to support learning in the current pandemic era. The development model used is the ADDIE model. There are four stages of the ADDIE development procedure, namely Analysis, Design, Development, Implementation, and Evaluation, this method is to produce and develop tested and empirical products. Lack of knowledge and use of technology makes elementary school students when doing learning from many who are lazy, causing a decrease in the achievement value of these students. So we need this Android-based interactive learning media to increase the spirit of learning in this pandemic era. This study aims to develop interactive learning media on Android-based Islamic religious education to keep students' values ??stable in Islamic religious education subjects. The results of this study are expected to be used by SD Negeri 2 Patuanan for learning media during the pandemic and continue to improve students to study hard. Keywords: Islamic religious education, Covid 19, Interactive Learning Media
CLUSTERING KELOMPOK BELAJAR SISWA BERDASARKAN HASIL UJIAN SEKOLAH MENGGUNAKAN ALGORITMA K-MEANS Mohammad Syaefudulloh; Ahmad Faqih; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.397

Abstract

Introduction: The government has the responsibility of determining national education quality policies and standards and has a role to evaluate the implementation of education in the framework of national education quality control. One way to evaluate the standards of primary and secondary education nationally is the results of the achievement of the National Examination (UN). The quality of students in learning in schools has a lot of diversity this makes students have different levels of understanding this can be seen from the variety of school test scores obtained, this needs to be a concern for the school, especially teachers. One of them is by forming an effective study group so that every student has the opportunity to excel. To find out how to cluster the quality of Astanajapura State High School education based on the results of school test scores. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Results: The results in this study get a cluster of students, namely students are very prestigious, prestigious and less prestigious. The clustering obtained in this study k = 4 is that there are 145 students categorized into cluster 0 with a DBi value of 0.763. The evaluation results of the K-Means algorithm resulted in a cluster with excellent and good grades, the results of this study can be used as a guideline for teaching teachers in decision making on the formation of student learning groups in Class XII. Discussion: The use of the K-Means method to group is one of the appropriate methods when viewed from the variables to be used, namely school test scores
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATERI PENDIDIKAN AGAMA ISLAM BERBASIS ANDROID UNTUK KELAS 4 SEKOLAH DASAR Roni Faturany; Umi Hayati; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.381

Abstract

The purpose of this study is to create an interactive learning medium based on Android. using Adobe flash cs6 to support learning in the current pandemic era. The development model used is the ADDIE model. There are four stages of the ADDIE development procedure, namely Analysis, Design, Development, Implementation, and Evaluation, this method is to produce and develop tested and empirical products. Lack of knowledge and use of technology makes elementary school students when doing learning from many who are lazy, causing a decrease in the achievement value of these students. So we need this Android-based interactive learning media to increase the spirit of learning in this pandemic era. This study aims to develop interactive learning media on Android-based Islamic religious education to keep students' values ??stable in Islamic religious education subjects. The results of this study are expected to be used by SD Negeri 2 Patuanan for learning media during the pandemic and continue to improve students to study hard. Keywords: Islamic religious education, Covid 19, Interactive Learning Media
CLUSTERING KELOMPOK BELAJAR SISWA BERDASARKAN HASIL UJIAN SEKOLAH MENGGUNAKAN ALGORITMA K-MEANS Mohammad Syaefudulloh; Ahmad Faqih; Fadhil Muhammad Basysyar
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.397

Abstract

Introduction: The government has the responsibility of determining national education quality policies and standards and has a role to evaluate the implementation of education in the framework of national education quality control. One way to evaluate the standards of primary and secondary education nationally is the results of the achievement of the National Examination (UN). The quality of students in learning in schools has a lot of diversity this makes students have different levels of understanding this can be seen from the variety of school test scores obtained, this needs to be a concern for the school, especially teachers. One of them is by forming an effective study group so that every student has the opportunity to excel. To find out how to cluster the quality of Astanajapura State High School education based on the results of school test scores. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Results: The results in this study get a cluster of students, namely students are very prestigious, prestigious and less prestigious. The clustering obtained in this study k = 4 is that there are 145 students categorized into cluster 0 with a DBi value of 0.763. The evaluation results of the K-Means algorithm resulted in a cluster with excellent and good grades, the results of this study can be used as a guideline for teaching teachers in decision making on the formation of student learning groups in Class XII. Discussion: The use of the K-Means method to group is one of the appropriate methods when viewed from the variables to be used, namely school test scores
Perancangan Aplikasi Penjualan Aggregator Menerapkan Metode Waterfall Sendyawan Nagari; Fadhil Muhammad Basysyar
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 4 (2024): RESOLUSI March 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i4.1688

Abstract

The coffee shop sector in Indonesia has experienced rapid growth, with coffee consumption increasing steadily each year. In the process of selecting a coffee application, aspects such as security, ease of use, and promotional level are often primary considerations for users, as is the case with Kopi Kenangan CSB Mall. The business has been established for 4 years, founded precisely on October 14, 2019. With significant development, this Food and Beverage business has conducted transactions both offline and online through its three aggregators: Go Food, Grab Food, and Shopee Food. The issue identified from observations is the lack of daily, weekly, or monthly income calculations covering all three aggregators. This leads to a lack of review and development of this Food and Beverage business that has been operating for 4 years. The purpose of this research is to determine the extent of the influence of sales transactions through graphs in order to evaluate specific results visible in the mobile application using the Flutter programming language and the Laravel framework to help monitor shop transactions in detail. This research is conducted by applying the waterfall method and collecting data through processes such as interviews, observations, and documentation. By harnessing rapidly advancing technology, monitoring sales data through comparison via graphs aims to obtain contributions from the transaction summary application that can assist this Coffee Shop business in achieving its future targets.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Systematic Bibliometric Research Trend of Text Mining on Product Comments in Business Ecosystem Gifthera Dwilestari; Fadhil Muhammad Basysyar
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The business ecosystem represents a new paradigm that has gained considerable attention among researchers and practitioners. Despite its popularity, systematic literature reviews utilizing bibliometric analysis within this context remain sparse. This study aims to conduct a comprehensive bibliometric and visualization analysis of business ecosystem research, focusing on the impact of text mining on product comments. Employing VOSviewer for visualization, the study evaluates 95 scientific articles indexed in Scopus quartiles Q1 to Q4 from the Scopus database over the last decade (2001-2024). The bibliometric analysis identifies the most productive publishers, the evolution of scientific articles, and citation patterns. Visualization with VOSviewer reveals prevalent terms in titles and abstracts, author collaboration networks, and assists in identifying novel and underexplored topics within the business ecosystem. The findings provide valuable insights for researchers and practitioners, highlighting key trends and potential research gaps, thus contributing to the advancement of knowledge in the field.
Co-Authors Achmad Supandi Ahmad Faqih Dadang Sudrajat Gifthera Dwilestari Mohammad Syaefudulloh Roni Faturany Sendyawan Nagari Umi Hayati