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All Journal bit-Tech AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi
Lely Panca Andriyanto
Universitas Pamulang
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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PELATIHAN PENULISAN PROPOSAL KEGIATAN SISWA MADRASAH DI MAN 1 KOTA TANGERANG SELATAN Nanang; Lely Panca Andriyanto; Sartika Lina Mulani Sitio
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2023): AMMA : Jurnal Pengabdian Masyarakat (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

MAN 1 Kota Tangerang Selatan is located in Desa Kademanagan, Kec. Setu, Tangerang Selatan. Students at this are graduates from Tsanawiah and from Islamic boarding schools. The purpose of this service is to increase students' understanding of activity proposals held within the madrasah environment or activities outside the madrasah and to improve students' skills in writing activity proposals properly and correctly. What is needed by students is training in writing activity proposals because so far it has been considered not good enough. The methods used in this community service activity are observation, training and mentoring (practice of making student activity proposals). Through interviews with the Deputy Head of Student Affairs and the heads of the extracurricular MAN 1 Kota Tangerang Selatan, data was obtained that these students had difficulties in compiling activity proposals. Furthermore, through observation activities it was found that after the training activities students experienced an increase in the skills of preparing activity proposals. The result of the implementation of the activity is that students who take part in the training (heads of extracurricular activities) have a good understanding of making activity proposals and know and have the ability to compile activity proposals organized by so that they can apply them to activities other.
Sosialisasi Pengenalan Pentingnya Cyber Security Bagi Siswa Untuk Membangun Keamanan Informasi Dalam Era Digital Amin Hidayat; Yuda Samudra; Lely Panca Andriyanto
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 5 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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The rapid development of technology not only provides benefits for its users, but also provides a real threat of crime against its users, some examples of cybercrime cases that are currently busy include: fraud via chat under the guise of a photo of an item package, fraudulent chat wedding invitations, fraudulent transfer fees banks, then the most common one is lottery fraud. This community service activity held at SMA-IT Alia Islamic School aims to make students more aware of the dangers of possibilities that can occur from cybercrime. The importance of understanding youth and society regarding security on the internet or often referred to as Cyber Security is very necessary to know what threats may arise and how to deal with these threats. By understanding the threats posed, youth/students and the public are also required to know how to secure personal data on the internet. The form of this PkM activity is in the form of presentation of material related to the introduction of the importance of Cyber Security, then explaining several examples of cases of cybercrime and how to react to it as well as additional material related to the introduction of career opportunities in the field of IT, especially in Cyber Security which is then followed by a question and answer session for PkM activity participants carried out in the Language Lab room at SMA-IT Alia Islamic School.
Pengenalan Teknologi Artificial Intelligence Untuk Guru Dalam Peningkatan Pembelajaran Di SMA Alia Islamic School Meidy Fajar Wahyu; Yuda Samudra; Lely Panca Andriyanto
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 12 : Januari (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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One aspect that supports teaching and learning activities in the 21st century is mastery of aspects of digital technology for the use of cyberspace. This is also explained in Law of the Republic of Indonesia Number 14 of 2005 concerning Teachers and Lecturers that a teacher must have four competencies, namely pedagogical, personality, social and professional competencies. With this law, it is hoped that it will provide an opportunity for teachers to increase their professionalism through training held in scientific forums. However, there are several obstacles that teachers still face in improving their professionalism, one of which is mastery of technology. Artificial Intelligence (AI) is an application and a series of instructions related to programming where the results will look like from a human perspective. Apart from that, the reach of this technology has been used widely, including in the education sector. The implementation of AI in the education sector has had many positive impacts. Some of the positive impacts of applying AI in the education sector are increasing speaking, listening, reading and writing skills as well as the development of fun learning methods. This activity aims to explain the development of the Introduction of Artificial Intelligence Technology for Teachers in Improving Learning and its impact on modern society. We will look at the role of Artificial Intelligence in creating vibrant social networks, the emergence of leading social networking sites, and the shift from traditional media to social media. In addition, we will also discuss the concept of Artificial Intelligence and the potential it has in changing the way we search for and manage information. The introduction of Artificial Intelligence Technology for Teachers in Improving Learning at SMA ALIA Islamic School Tangerang, aims to enable teachers to be aware of developments in Artificial Intelligence technology, especially in today's digital world. The Community Service Team coordinates with the principal and deputy principal to hold activities for students at ALIA Islamic School.
Perancangan Sistem Pendukung Keputusan Penentuan Jenis Kosmetik Sesuai Dengan Jenis Kulit Wajah Dengan Menggunakan Metode Simple Additive Weighting (SAW) Ika Triwahyuningsih; Lely Panca Andriyanto
Jurnal Riset Informatika dan Inovasi Vol 3 No 12 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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The development of the cosmetics industry has led to an increase in the variety of products available on the market, which the consumers find challenging when selecting items that are appropriate for their facial skin type. Choosing the wrong product can lessen treatment effectiveness and cause quite dangerous side effects. This research intends to create a web-based DSS that identifies the appropriate cosmetics based on facial skin type by utilizing the SAW approach. The SAW method is utilized to assign weights and rank different products according to established criteria, thereby generating impartial recommendations. Findings from this study confirm that the system is capable deliver cosmetic product suggestions accurately and methodically, thus helping users to make more informed, effective, and safe choices.
Spice Image Classification Based on Content-Based Image Retrieval Meidy Fajar Wahyu; Lely Panca Andriyanto; Amin Hidayat; Achmad Sehan; Eko Sutono
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.4149

Abstract

Indonesia possesses exceptional spice biodiversity, yet public familiarity with the original visual characteristics of many spices is declining because of packaged processing, reduced direct exposure, and changing food-consumption patterns. This study develops RempahID, a web-based spice identification system that integrates Content-Based Image Retrieval (CBIR) with machine-learning classification. The study addresses the limited availability of Indonesian spice recognition systems that simultaneously provide class predictions and visually similar reference images for user verification. The system uses a dataset comprising ten major spice categories, including ginger, turmeric, galangal, aromatic ginger, cinnamon, cloves, nutmeg, coriander, candlenut, and star anise. Each image is preprocessed through resizing, normalization, noise reduction, and Otsu-based segmentation. Visual representation combines 24 Hue-Saturation-Value color histogram features, four Gray-Level Co-occurrence Matrix texture descriptors, and seven Hu Moment shape features, producing a 35-dimensional feature vector. Euclidean Distance is employed to rank visually similar database images, while K-Nearest Neighbors, Support Vector Machine, and Random Forest are compared for classification. Performance is evaluated using accuracy, precision, recall, and F1-score. The Support Vector Machine with a radial basis function kernel achieved the best result, with 92.1% accuracy, 0.91 precision, 0.92 recall, and a 0.91 F1-score. Retrieved reference images also supported transparent visual comparison rather than presenting an isolated predicted label alone. These findings demonstrate that integrating complementary color, texture, and shape descriptors within a CBIR framework provides an effective and interpretable approach for Indonesian spice identification.
Co-Authors Achmad Sehan Amin Hidayat Eko Sutono Ika Triwahyuningsih Meidy Fajar Wahyu Nanang Nanang Sartika Lina Mulani Sitio Yuda Samudra