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Implementasi Metode Naïve Bayes Untuk Prediksi Penjualan Catering Pada PT Negara Rasa Indonesia Gulo, Benifati; Machfud, Syaeful
Jurnal Riset Informatika dan Inovasi Vol 3 No 8 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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Abstract

Penelitian ini membahas implementasi metode Naïve Bayes untuk memprediksi penjualan catering pada PT.Negara Rasa Indonesia. Latar belakang penelitian didasari oleh permasalahan penjualan yang belum optimal akibat tidak adanya sistem prediksi penjulan yang terstruktur. Metode Naïve Bayes dipilih karena kesederhanaan, kecepatan, serta kemampuannya dalam mengklasifikasikan data dengan tingkat akurasi yang tinggi. Data yang digunakan dalam penelitian ini adalah data historis penjualan selama dua tahun terakhir, yang telah melalui proses cleaning, labeling, dan transformasi menjadi empat kategori penjualan, yaitu sangat laris, laris, cukup laris, kurang laris. Proses pengujian dilakukan menggunakan perangkat lunak RapidMiner dengan membagi dataset menjadi data latih dan data uji pada berbagai rasio 80:20, Hasil pengujian menunjukkan tingkat akurasi yang sangat tinggi, dengan nilai tertinggi mencapai 91,41% Temuan ini membuktikan bahwa metode Naïve Bayes dapat diandalkan untuk memprediksi penjualan katering, sehingga dapat membantu pengambilan keputusan dalam pengelolaan dan perencanaan penjualan yang lebih efisien di PT. Negara Rasa Indonesia.
Implementasi Penunjang Keputusan Pemilihan Biji Kopi Robusta dan Arabika Terbaik Menggunakan Metode Promethee pada Perkebunan Kopi Saputra, Devani Erik; Machfud, Syaeful
Jurnal Sains dan Teknologi Informasi Vol 5 No 1 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v5i1.8827

Abstract

Coffee beans are one of the most important commodities in the food and beverage industry, where the quality of the beans significantly determines the final product produced. Assessing high-quality coffee beans is a crucial factor in maintaining consumer satisfaction and preserving flavor consistency. This assessment process requires an accurate and objective method, as it involves various complex factors such as size, color, aroma, taste, and moisture level. A Decision Support System (DSS) serves as an effective solution to assist in complex, multi-criteria decision-making processes. The purpose of this study is to develop and implement a DSS based on the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to objectively assess and determine the best quality Robusta and Arabica coffee beans. The PROMETHEE method was chosen because it is capable of handling multiple evaluation criteria simultaneously and generating alternative rankings based on measurable preference levels. This study includes data collection, analysis of factors affecting coffee bean quality, and the design and implementation of the PROMETHEE method within the developed DSS. The results of the study indicate that the application of the PROMETHEE method in the DSS can provide accurate, consistent, and reliable recommendations in determining coffee bean quality. Therefore, this system can serve as an effective tool for decision-makers in evaluating coffee bean quality in a more systematic and objective manner.
PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM MENINGKATKAN MOTIVASI BELAJAR SISWA PUSAT KEGIATAN BELAJAR MASYARAKAT (PKBM) BINA INSAN KAMIL Machfud, Syaeful; Prasetia, Okky; Ibnurhus, Gigih Amrillah
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 6 No 3 (2025): OKTOBER
Publisher : Universitas Pamulang

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Abstract

This community service program aims to enhance learning motivation and digital literacy of learners at PKBM Bina Insan Kamil through the utilization of Artificial Intelligence (AI) technology. The initial conditions indicated low learning motivation caused by work-related fatigue, limited learning methods, and minimal use of digital technology by tutors. Although most learners already owned digital devices such as smartphones, their digital literacy skills remained limited. Tutors also faced challenges in mastering AI-based learning applications, resulting in conventional and less engaging instructional practices. This program was designed through intensive training and mentoring on the use of ChatGPT, Canva AI, Duolingo AI, Gamma AI, and AI Generate as innovative and technology-driven learning solutions. The implementation stages included preparation, training, implementation assistance, and evaluation. The results demonstrated an increase in learners’ motivation, improved ability to utilize AI-based applications for learning, and enhanced tutor competence in developing more engaging digital learning materials. The application of gamification through Duolingo AI significantly increased learner participation and engagement. Furthermore, the digitalization of PKBM administrative processes positively impacted institutional management efficiency. Overall, this program successfully supported digital transformation in non-formal education and has strong potential for sustainable implementation. Keywords: artificial intelligence; learning motivation; digital literacy; PKBM; innovative learning
Peningkatan Literasi Digital Bagi Siswa Paket C PKBM Bina Insan Kamil Melalui Pelatihan Dasar Komputer Dan Internet Okky Prasetia; Syaeful Machfud; Gigih Amrillah Ibnurhus
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Digital literacy is currently highly needed by society, especially in the field of education. Modern developments demand that people be able to operate digital information and communication technology, so the public's knowledge must be able to keep pace. PKBM Bina Insan Kamil is a non-formal educational institution operating in South Tangerang City. One of its non-formal education programs is equivalency education, which provides general education equivalent to elementary school (SD/MI), junior high school (SMP/MTs), and senior high school (SMA/MA), including Package A, Package B, and Package C programs. The goal of equivalency education is to provide opportunities for disadvantaged communities (such as those who have never attended school or dropped out due to lack of opportunities) to recover and continue their education. To improve the digital literacy competency of learners, especially Package C students, careful treatment and mentoring are required to properly prepare them for the era of the Industrial Revolution 5.0 and Society 5.0. The implementation method is carried out in three stages: planning, implementation, and evaluation, using a social approach, which takes place over a one-day period. The results of the activity indicate that this training is effective in improving the digital literacy of Package C students at PKBM Bina Insan Kamil. This activity is also expected to empower Package C students to be more adaptable to technology, improve their quality of life, and support student development through the use of digitalization.
Development of Interactive Mobile Learning Applications for Early Childhood Learning in Kindergartens Sartika Lina Mulani Sitio; Syaeful Machfud
Jurnal Edutech Undiksha Vol. 13 No. 2 (2025): December
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jeu.v13i2.102808

Abstract

Advances in digital technology open up new opportunities in education, including for early childhood. However, learning in kindergarten is still dominated using conventional methods that are less interactive and have not fully attracted children's attention. This condition creates the need to design mobile-based learning media that is interactive, fun, and in accordance with children's development. This study aims to develop an interactive mobile learning application in Matahari Pocis Kindergarten as well as evaluate its effectiveness. Data was collected through learning observations, interviews with teachers, and parent questionnaires to identify the needs, preferences, and obstacles faced by children. The analysis was carried out qualitatively to interpret learning patterns and user responses, as well as quantitatively through comparison of learning outcomes before and after the use of the application. The system is developed using the Waterfall method through the stages of needs analysis, design, implementation, testing, and maintenance. The results of the study show that the application is able to increase children's motivation, focus, and involvement. Quantitatively, there was a significant increase in learning outcomes, while qualitatively, teachers assessed the application as easy to use, attractive, and in accordance with the curriculum. Thus, interactive mobile learning applications are effective as a supporting medium, and have the potential to be an innovative solution for early childhood education.
Perancangan Sistem Aplikasi Absensi Berbasis Web Menggunakan Metode Prototype (Studi Kasus: PT. Anggun Jaya Panipahan) Mayrina Setiadi; Syaeful Machfud
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.9336

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sistem aplikasi absensi berbasis web pada PT. Anggun Jaya Panipahan menggunakan metode Prototype sebagai solusi untuk meningkatkan efektivitas dan efisiensi pengelolaan kehadiran karyawan. Permasalahan yang dihadapi perusahaan adalah proses absensi yang masih dilakukan secara manual menggunakan kartu absensi, sehingga menimbulkan berbagai kendala seperti keterlambatan rekapitulasi data, tingginya risiko kesalahan pencatatan, potensi kehilangan data, serta lambatnya proses pengolahan informasi kehadiran yang berdampak pada keterlambatan penyusunan laporan dan pembayaran gaji karyawan. Penelitian ini menggunakan metode pengumpulan data berupa observasi, wawancara, dan studi pustaka untuk memperoleh informasi yang akurat mengenai kebutuhan sistem. Adapun metode pengembangan perangkat lunak menggunakan metode Prototype yang memungkinkan pengembangan sistem dilakukan secara bertahap melalui pembuatan rancangan awal, evaluasi oleh pengguna, serta proses perbaikan secara berulang hingga diperoleh sistem yang sesuai dengan kebutuhan perusahaan. Sistem dirancang menggunakan Unified Modelling Language (UML) dan diimplementasikan dengan bahasa pemrograman PHP serta database MySQL sebagai media penyimpanan data. Hasil penelitian menunjukkan bahwa sistem absensi berbasis web yang dikembangkan mampu mempermudah proses pencatatan kehadiran karyawan, pengelolaan data pegawai, monitoring absensi secara real-time, serta pembuatan laporan absensi secara otomatis, cepat, dan akurat. Selain itu, sistem ini juga mampu mengurangi kesalahan pencatatan, mempercepat proses administrasi, meningkatkan kualitas pengelolaan data kehadiran, serta mendukung proses pengambilan keputusan manajemen yang lebih efektif sehingga layak diterapkan pada PT. Anggun Jaya Panipahan sebagai bagian dari transformasi digital dalam pengelolaan sumber daya manusia.
Pelatihan Pengembangan Kompetensi Guru Dalam Pembuatan Video Pembelajaran Berbasis Youtube Teti Desyani; Hendri Ardiansyah; Syaeful Machfud
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2026): April 2026
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v8i1.557

Abstract

The rapid development of information technology requires teachers to utilize digital media in the learning process; however, the use of instructional videos remains limited and tends to be conventional. This community service program aims to improve teachers’ competencies in designing and producing YouTube-based learning videos as an innovative instructional medium. The implementation method employed a participatory approach consisting of needs analysis, conceptual training, video production and editing practice, mentoring, and evaluation stages. The participants were teachers of SMP Negeri 16 Jakarta who were actively involved throughout the training process. The results indicate a significant improvement in teachers’ competencies, where understanding of instructional video concepts increased from 35% to 85%, video editing skills improved from 20% to 78%, and the ability to upload and publish content on YouTube increased from 25% to 90%. In addition, the program produced 18 instructional videos, established 12 active YouTube channels, and enabled 15 teachers to independently create learning videos. Furthermore, the program encouraged behavioral changes toward more interactive, creative, and student-centered learning practices. This community service activity contributes to supporting sustainable digital learning transformation within the school environment.
Optimalisasi Kesadaran Keamanan Digital Untuk Mencegah Praktik Social Engineering Di Media Sosial Pada Ormas Oi Tangerang Selatan Gigih Amrillah Ibnurhus; Syaeful Machfud; Okky Prasetia
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 8 : September (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Oi, to intensively utilize social media without adequate digital security literacy, creating vulnerabilities exploited through social engineering that targets human psychological weaknesses. This study aims to measure the level of digital security awareness among members of Ormas Oi South Tangerang before and after an educational intervention, and to analyze the significance of the difference as an indicator of the effectiveness of preventing social engineering practices on social media. This research employed a quantitative approach with a quasi-experimental one-group pretest-posttest design involving 25 active members selected through purposive sampling, with data analyzed using a paired sample t-test. Results showed that digital security education scores increased from an average of 10.76 to 16.32, and social engineering prevention awareness increased from 16.12 to 23.96, with a significance value of p<0.05 and a very large effect size, although N-Gain scores were predominantly in the moderate category. These findings confirm that structured education effectively shifted members' cognitive patterns from passive social trust toward reflective vigilance as a human firewall. It is concluded that the educational intervention had a significant impact, though it should be conducted continuously with real-case simulations, and future research is recommended to employ control groups and longitudinal measurements.