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All Journal Jurnal Pendidikan dan Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems
Sitepu, Sengli Egani
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Computer Science & IT Education Other

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Sosialisasi Chatbot Satya untuk Siswa/Siswi Chairia, Chairia; Sitepu, Sengli Egani; Salim, Rin Rin Meilani; Putri, Hidayatna
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 8 No. 2 (2025): Mei
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v8i2.8815

Abstract

Salah satu bentuk teknologi yang menggunakan kecerdasan buatan adalah chatbot atau chatterbot (disebut juga sebagai talkbot, chatterbot, Bot, IM bot, agen interaktif, atau entitas percakapan buatan). Untuk membantu siswa/i SMA dalam pemahaman materi pasar modal di mata pelajaran Ekonomi maka kami melakukan sosialisasi chatbot dan mengajak Bursa Efek Indonesia dan BRI Danareksa memaparkan tentang pasar modal ke sekolah-sekolah SMA ataupun SMK. Metode yang dilakukan dalam kegiatan ini adalah pelatihan dan memberi penjelasan. Meliputi sosialisasi yang dilakukan ke SMA Sultan Iskandar Muda, SMK Sultan Iskandar Muda, dan SMA Holy Kids Bersinar. Hasil pengabdian ini yaitu Chatbot dimana chatbot yang dihasilkan dapat memberitahukan pengetahuan mengenai Literasi Pasar Modal. Chatbot Satya berisi banyak informasi dasar mengenai investasi seperti menabung vs investasi, kesalahan umum para investor pemula, keuntungan berinvestasi di Pasar Modal dan banyak lagi. Informasi-informasi ini disajikan secara menarik dengan ilustrasi yang jelas, video interaktif dan tautan website pendukung untuk mendapatkan informasi yang lebih mendalam.
Smart Skincare: Expert System Based on Certainty Factors for Skin Type Identification and Product Selection Raja Gunung, Tar Muhammad; Ningtyas, Alyiza Dwi; Sitepu, Sengli Egani; Rolanda, Vicky; Jinan, Abwabul
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.10015

Abstract

This study aims to develop an expert system for selecting skincare products based on skin type using the Certainty Factor method. This method is used to represent the expert's level of confidence in the symptoms that appear on the user's skin, so that the system can provide realistic diagnostic results that are close to human thinking. The research data was obtained through consultations with beauty experts and a review of dermatology literature. The test results show that the system is able to identify the user's skin type with varying degrees of certainty. For example, for patients with combination skin types, the system recommends appropriate skincare products such as Salicylic Acid Serum, Elshe Skin Acne Cleansing Wash, and Azarine Acne Gentle Cleansing Foam. Thus, this Certainty Factor-based expert system is expected to help individuals recognize their skin type and choose facial care products more accurately and effectively. Going forward, this system has the potential to be further developed with the integration of artificial intelligence technology and a broader product database to improve the accuracy and personalization of recommendations.
Co-Authors Chairia, Chairia Jinan, Abwabul Ningtyas, Alyiza Dwi Putri, Hidayatna Raja Gunung, Tar Muhammad Rolanda, Vicky Salim, Rin Rin Meilani