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Sistem Pakar Menentukan Jenis Produk Kecantikan Berdasarkan Ph Pada Kulit Wajah Perempuan Nasir, Januardi; Setiawan, Yasha langitta
Jurnal Komtika (Komputasi dan Informatika) Vol 8 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v8i1.11296

Abstract

This research aims to providing alternative solutions to consumers in determining which products are right and suitable for the Ph of their facial skin. Shows that the expert system really helps users in solving problems, in terms of determining the type of cosmetics. Applying a web-based forward chaining method in program creation. Design/methodology/approach: The method used in creating the system to determine which products are suitable for the PH type of facial skin is the Forward Chaining method. Forward chaining is a search technique that starts with known facts, then matches these facts with the IF part of the IF-THEN rules. If there is a fact that matches the IF part, then the rule is executed. Findings/result: To determine the type of cosmetic product that is suitable, it will be analysed using a web-based forward changing method. Using the PHP programming language and MySQL database. Dreamweaver is a software application that is used as an editor. System analysis and design using starUMLOriginality/value/state of the art: From the research results, this expert system has an accuracy of 80% and functions quite well in determining the type of cosmetic product using a web-based forward changing method to make it easier for consumers to find the right cosmetics.
Text Mining of Trade War in Indonesia News (Tempo.co): A Wordcloud, Sentiment Analysis, and Cluster Sari, Dian Fitriarni; Yasha Langitta Setiawan
Journal Of Informatics And Busisnes Vol. 3 No. 2 (2025): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i2.3422

Abstract

This study focuses on analysing news headlines from Indonesia's leading English daily newspaper, Tempo.co. with total of 4,184 news headlines. We were manually collected it from April to June 2025. The data was processed and analysed using the R Studio package for text mining and sentiment analysis. Various methods such as tokenisation, standardisation, data cleaning, stopword removal, stemming, and lemmatisation were used in the pre-processing stage to extract information. The research methodology included techniques such as wordcloud, sentiment analysis, and clustering to identify the most frequently occurring words, emotional tones, and groups of words that are interrelated in news headlines. Based on the results of the text mining analysis, it was found that the majority of news headlines focused on President Donald Trump's speech on Liberation Day and its impact on trade policy, particularly regarding import tariffs on trading partner countries. This coverage influenced public perception and business decision-making in political and economic aspects.
Penguatan Kapasitas Komunikasi Masyarakat di era Digital melalui Public Speaking Himni, Lailatul; Sari, Dian Fitriarni; Setiawan, Yasha Langitta
Jurnal Pengabdian Masyarakat Mentari Vol. 2 No. 8 (2026): Maret
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmm.v2i8.244

Abstract

Penguatan kapasitas komunikasi masyarakat di era digital menjadi kebutuhan penting seiring meningkatnya peran media sosial dan platform daring sebagai ruang komunikasi publik. Kegiatan ini bertujuan untuk meningkatkan keterampilan public speaking masyarakat, khususnya generasi muda di Kota Padang Panjang, sebagai instrumen pemberdayaan dalam menghadirkan komunikasi yang positif, edukatif, dan bertanggung jawab di ruang digital. Public speaking dipahami tidak hanya sebagai kemampuan berbicara di depan publik, tetapi juga sebagai kompetensi strategis untuk menyampaikan gagasan, membangun literasi digital, dan memengaruhi opini publik secara konstruktif. Metode pelaksanaan kegiatan menggunakan pendekatan partisipatif yang mengombinasikan pemaparan materi dan praktik langsung. Materi meliputi pengenalan karakteristik ruang digital, teknik penyusunan pesan komunikasi yang efektif, dan latihan berbicara di depan peserta dengan menyesuaikan konteks komunikasi digital. Melalui proses ini, peserta dilibatkan secara aktif untuk mengembangkan kepercayaan diri, kejelasan pesan, dan kemampuan persuasif dalam berkomunikasi. Hasil pelaksanaan kegiatan menunjukkan adanya peningkatan keberanian dan kemampuan peserta dalam menyampaikan pesan secara lebih terstruktur, dan tumbuhnya kesadaran akan peran komunikasi sebagai modal sosial dan kepemimpinan komunitas. Penguatan keterampilan public speaking dalam komunikasi digital terbukti relevan sebagai strategi pengembangan kapasitas masyarakat, sekaligus mendorong generasi muda menjadi agen perubahan yang berdaya dan bertanggung jawab di ruang digital.