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Penerapan Algoritma Genetika untuk Memprediksi Penjadwalan Jasa Pasang Pada PT. Reka Graha Semesta Aida Septiani Aida; Nilma; Siti Julaeha
JOURNAL SAINS STUDENT RESEARCH Vol. 1 No. 1 (2023): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v1i1.200

Abstract

The installation service scheduling stage is the most important stage in ensuring the company's operational efficiency, especially in the service industry which involves the repair or installation of various products or services. In addition, scheduling installation services is a complex challenge, this is because it involves the allocation of resources, time and priorities to complete various installations and avoid conflicts. To overcome the complexity of scheduling problems, genetic algorithms have become an attractive and effective approach, because they can solve multi-criteria and multi-objective problems to solve problems that are modeled by biological and evolutionary processes. The genetic algorithm represents the candidate scheduling solution into a chromosome at random and will be evaluated using the fitness function, after which selection is carried out, then crossing over or mutation is carried out. Then in each generation the chromosomes are evaluated based on the value of the fitness function, so the genetic algorithm will produce the best chromosome or is an optimal solution approach. System implementation in this study uses web-based applications to make it easier to use because there is no installation process from the user's side, and the programming language used is Hypertext Preprocessing (PHP), and MySQL as a database that makes it easier to store data that is safe and easy to access.
IMPLEMENTATION OF KNOWLEDGE MANAGEMENT IN ENHANCING TEACHERS’ COMPETENCE AT ISLAMIC JUNIOR HIGH SCHOOLS (MADRASAH TSANAWIYAH): A RECENT LITERATURE REVIEW Dedy Yusuf Aditya; Ai Solihah; Siti Julaeha; Gita Kencanawaty
Cakrawala Pedagogik Vol. 9 No. 3 (2025): Cakrawala Pedagogik
Publisher : Sekolah Tinggi Keguruan dan Pendidikan Syekh Manshur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51499/cp.v9i3.826

Abstract

This study aims to analyze the strengthening of knowledge management to enhance teacher engagement toward the organization at MTs Darussa’adah Pandeglang. Knowledge management is regarded as a crucial strategy for developing a sustainable learning culture within Islamic schools. The study employs a qualitative descriptive approach through literature review and field observation. The findings reveal that the key dimensions of knowledge management—creation, storage, sharing, and application of knowledge—significantly contribute to improving teachers’ involvement in organizational activities and instructional innovation. Moreover, leadership support and collaboration among teachers within professional learning communities strengthen motivation and a sense of belonging to the institution. The study recommends implementing a digital collaboration platform to facilitate knowledge sharing and foster a learning organization culture in the madrasa context.
Application of Deep Learning for Email Spam Detection Using Artificial Neural Network Dewi Leyla Rahmah; Irnawati; Dewi Mustari; Bertha Meyke Waty Hutajulu; Halimatus Sa'diah; Siti Julaeha
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1086

Abstract

The rapid development of digital communication technology has significantly increased the use of email, followed by the growing threat of spam emails that may disrupt user security and convenience. Spam emails are commonly used for advertisements, phishing attacks, and malware distribution, potentially causing financial losses and data theft. This study aims to implement a Deep Learning method based on Artificial Neural Network (ANN) to automatically detect spam emails and analyze the model performance using classification evaluation parameters. The research employed a quantitative experimental approach using a dataset of 10,000 emails consisting of spam and non-spam categories. The research stages included data preprocessing, text transformation using TF-IDF, ANN model training, system testing, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The results showed that the ANN model achieved an accuracy of 96.4%, precision of 95.9%, recall of 96.7%, and F1-score of 96.3%. In addition, the pre-test and post-test results indicated a performance improvement of more than 11% after implementing the Deep Learning method. Based on these findings, the ANN method proved effective in improving the performance of spam email detection systems and can be utilized as a solution to support digital communication security more effectively.
INNOVATIVE AI-BASED MATHEMATICS LEARNING: A PHILOSOPHICAL PERSPECTIVE OF PRAGMATISM Siti Julaeha; Maria Edistianda Eka Saputri; Henny Suharyati
Cakrawala Pedagogik Vol. 10 No. 1 (2026): Cakrawala Pedagogik
Publisher : Sekolah Tinggi Keguruan dan Pendidikan Syekh Manshur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51499/cp.v10i1.872

Abstract

The Industrial Revolution 4.0 era has transformed the way humans work, constantly integrating technology. Therefore, mathematics learning needs to be more innovative, contextual, and meaningful to meet the challenges of technological development and social change. The use of Artificial Intelligence (AI) in mathematics learning is considered innovative learning. The implementation of AI-based learning innovations appears to increase the effectiveness, efficiency, and engagement of students in mathematics learning, but not all of them are grounded in philosophical understanding. This article aims to examine innovative AI-based mathematics learning from a pragmatist philosophical perspective, in order to provide a more meaningful, reflective, and contextual conceptual foundation. This study uses a qualitative method with a library research approach, through a critical review of books, journal articles, and relevant scientific publications from the past five years obtained from academic databases such as Google Scholar, Scopus, and ScienceDirect. Data analysis was conducted through the interpretation of texts and discourses and a review of empirical facts to identify patterns, trends, and research gaps related to AI in mathematics learning. The results of the study indicate that although AI is effective in supporting procedural practice and learning engagement, there are conceptual gaps in strengthening the pedagogical foundation, reflective dimensions, and value orientation of learning. Through a pragmatist framework, AI is repositioned not as an epistemic authority but rather as a pedagogical partner that enriches the mathematical learning experience through inquiry, reflection, and meaningfulness in real-world contexts. The study's conclusions emphasize that the success of AI integration in mathematics learning in the Society 5.0 era is determined not only by technological sophistication but primarily by the alignment between pedagogical design, value orientation, and humanistic, democratic, and equitable educational goals.
Pengaruh Penerapan Teknologi Informasi Pembuatan Aplikasi Raport Berbasis Microsoft Excel Terhadap Kemampu-an Tenaga Pengajar SMP Bina Bangsa Mandiri Di Gunung Putri Bogor Senna Hendrian; Siti Julaeha; M. Ardiansyah
JPT : Jurnal Pendidikan Tematik Vol 6 No 2 (2025): Agustus
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/jpt.v4i2.848

Abstract

The rapid development of information technology in the digital world has given birth to various types of activities based on the use of technology in processing value data. The world of education is required to be able to keep up with the rapid and dynamic development of information technology in order to improve knowledge and the quality of human resources so that information technology can be utilized optimally. Processing student value data that contains chronological and updatable information. Microsoft Excel or Microsoft Office Excel is a spreadsheet application program created and distributed by Microsoft Corporation that can be run on Microsoft Windows and Mac OS. Making report cards manually will take a long time and a lot of energy, especially in schools that have a very large number of students. Therefore, here we will discuss the Techniques for Making and Managing Microsoft Excel-Based Report Card Applications. By using the VLOOKUP and HLOOKUP formulas, these two functions are functions in Microsoft Excel that more or less function to search or view data from a table vertically and horizontally. Thus, through this community service program activity, the aim is to provide appropriate basic knowledge to the teaching staff of Bina Bangsa Mandiri Middle School so that in the future the teaching staff in the process of processing student grade data can continue to be developed through the knowledge they have.
Kajian Literatur: Implementasi Teknologi Digital dan Kecerdasan Buatan dalam Pendidikan MIPA di Indonesia Novylia Putry Nelsya; Ryan Amanda Putri; Dede Zaenudin; Siti Julaeha; Elvina Elvina
JURNAL PENDIDIKAN MIPA Vol. 15 No. 4 (2025): JURNAL PENDIDIKAN MIPA
Publisher : Pusat Publikasi Ilmiah, STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpm.v15i4.3716

Abstract

Perkembangan teknologi digital dan kecerdasan buatan (Artificial Intelligence/AI) dalam pendidikan MIPA di Indonesia menunjukkan potensi besar. Namun, pemanfaatannya di lapangan masih menghadapi berbagai kendala seperti ketimpangan infrastruktur, keterbatasan literasi digital pendidik, serta isu etika dan perlindungan data. Penelitian ini bertujuan mengkaji secara sistematis implementasi teknologi digital dan AI dalam pendidikan di Indonesia, meliputi bentuk penerapan, manfaat pedagogis, tantangan, serta arah pengembangan. Metode yang digunakan adalah kajian literatur sistematis dengan tahapan perencanaan, penelusuran, seleksi, analisis, dan sintesis artikel ilmiah. Pencarian artikel dilakukan melalui database Google Scholar, Garuda, dan portal jurnal nasional dan internasional terindeks dengan rentang publikasi tahun 2021–2025. Dari 35 artikel yang teridentifikasi, sebanyak 23 artikel dianalisis dan menunjukkan penerapan AI dalam bentuk sistem pendamping belajar, penilaian otomatis, pembelajaran adaptif, dan simulasi MIPA yang mampu meningkatkan personalisasi pembelajaran, efisiensi kerja guru, dan motivasi belajar siswa. Meski demikian, penerapan AI masih terkendala kesiapan sumber daya manusia, infrastruktur, serta evaluasi berkelanjutan menjadi langkah penting agar pemanfaatan AI berjalan efektif dan berkeadilan.