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Pola Pengembangan Paragraf Pada Majalah Neotech Julpandi, Julpandi; Gunawan, Kristian; Fauzi, Fikri; Kurniawan, Eva Dwi
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 3 № 01 (2025): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v3i01.1397

Abstract

This research examines paragraph development patterns in the text of the July 2001 edition of Neotech Magazine using qualitative descriptive methods. Data was obtained through documentation studies and note-taking techniques, with a focus on analyzing the structure and linguistic elements of paragraphs. The research results identified five dominant paragraph development patterns: chronology, illustration, definition, comparison, and cause and effect. The chronology pattern is used to show the time sequence in technological development, the illustration pattern provides a concrete picture of technological concepts, the definition pattern explains technical terms, the comparison pattern contrasts various technologies, and the cause-and-effect pattern explains causal relationships in technological development. The use of these patterns helps writers convey technology information effectively to readers, with each pattern having a specific function in increasing reader understanding. This research contributes to the development of more effective technology text writing strategies and can be used as a reference in technology journalistic writing.
Ethnomathematics on Ayunan Jantra in Bali: Integration of Mathematical Concepts in Culture Al-Jabar, Sheilla Zalzabilla; Fauzi, Fikri; Hidayat, Wahyu; Fitriani, Nelly; Supriatna, Tatang
(JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING Vol. 8 No. 2 (2025): VOLUME 8 NUMBER 2, JUNE 2025
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jiml.v8i2.26861

Abstract

This research explores the concept of ethnomathematics in the ayunan jantra culture in Majalangu Village, Denpasar, Bali. Using an ethnographic approach, this research identifies the mathematical elements contained in the making, structure and use of the jantJra swing. The research was conducted through observation, interviews and documentation when the ayunan jantra was used at a Balinese traditional ceremony. The interview was conducted with Mr. I Made Semara Putra, the manager of the Subak TeBA Majalangu Educational Tourism foundation, Denpasar, Bali. Swing jantra has a philosophy about the values of life, namely the rotation of destiny that we do not know, but must be ready to live it. The main findings of this research are the application of the concepts of geometry, proportion and oscillation in the making and operation of the ayunan jantra. From the geometry aspect, the swing structure includes the position of the support, rotating shaft, and arms that refer to the principles of symmetry and balance. In addition, the measurement of the dimensions of the arms and stand shows the application of the concepts of proportion and comparison. The use of the ayunan jantra also involves the concept of oscillation where the rotating movement resembles harmonic oscillation. This research reveals that Balinese people have intuitively integrated mathematical concepts into their cultural traditions. The findings from this study offer new insights into the relationship between cultural traditions and mathematics learning that could contribute to developing ethnomathematics-based learning in schools. This research is expected to enrich culture-based mathematics learning methods and preserve the local wisdom of the Balinese people.
Aplikasi Chatbot Rekomendasi Laptop Menggunakan Natural Language Processing Fauzi, Fikri; Aji, Adam Sekti
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1483

Abstract

The problem of selecting laptops that match user needs often becomes a challenge for many users, especially for those who are less familiar with technical specifications. To address this problem, this research develops a Natural Language Processing (NLP)-based chatbot application capable of providing automatic laptop recommendations based on user needs. This application implements the TF-IDF algorithm to extract features from user input in natural language, then calculates cosine similarity with laptop specification datasets stored in a MySQL database to generate the most relevant recommendations. The results of black box testing show that the system is capable of providing recommendations with a precision rate of 87.5%, recall of 83.2%, and F1-score of 85.3% in understanding user preferences based on criteria such as price range, weight, and usage type. This research contributes to the development of NLP-based chatbot technology by integrating the TF-IDF approach for more accurate natural language understanding compared to conventional rule-based chatbots, as well as providing interactive solutions that facilitate ordinary users in obtaining laptop recommendations without requiring in-depth technical knowledge.
Solving Smartphone Storage Management Problems: Students’ Mathematical Literacy Based on Self-Regulated Learning Aripin, Usman; Rosmiati, Tanti; Pitriyani, Widaningsih; Fauzi, Fikri
Edumatika Vol 7 No 1 (2024): May 2024, Edumatika : Jurnal Riset Pendidikan Matematika
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan IAIN Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/ejrpm.v7i1.3614

Abstract

The students’ mathematical literacy skills tend to be influenced by their self-regulated learning. This study aims to analyse mathematical literacy skills based on students' self-regulated learning. The research method used was descriptive-qualitative, involving 40 students from one of the Islamic junior high schools in Bandung Barat, West Java. The instruments used were a PISA-like mathematical literacy problem and a self-regulated learning questionnaire. The data analysis technique used was the Miles and Huberman model. This model uses data collection, data reduction, data presentation, and conclusion drawing. The results showed that students with high and medium level of self-regulated learning had given correct and careful answers related to managing storage on smartphones, but the students with a moderate level of self-regulated learning were careless in performing calculations. While, students with a low level of self-regulated learning have been able to understand the problem carefully, even though they have difficulty finding the right answer. This reseach can be used as one of basis for developing more effective learning strategies that support the improvement of mathematical literacy through empowering self-regulated learning.
Evaluating the Effectiveness of AI in Developing Digital Marketing Content for Certification Service Firms Sugiyato, Agus; Bangun, Cicilia Sriliasta; Fauzi, Fikri; Mulyati, Mulyati; Al-Kamari, Omar Arif
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1305

Abstract

The implementation of Artificial Intelligence (AI) in digital marketing has become a major driver of business efficiency, yet its strategic implications and the role of human involvement still require in-depth study. This qualitative case study research aims to analyze the effectiveness of adopting generative AI (Gemini AI and Claude AI) in the content creation process at PT. Gaivo Solusi Manajemen, focusing on perceived usefulness, the role of human-in-the-loop, and the perspective of competitive advantage. Data were collected through semi-structured interviews with key informants and analyzed using Thematic Analysis. The findings indicate that AI substantially increases process efficiency, particularly in drafting content and SEO Meta packages, which boosts production volume and speed. However, key findings emphasize that AI is merely a supporting tool and necessitates mandatory supervision by expert staff (human-in-the-loop) to ensure information integrity and quality that complies with professional service industry regulations. Strategically, AI is not considered a source of hardly imitable competitive advantage (it is a commodity), but rather an enabler. The true competitive advantage lies in the staff’s ability in prompt engineering, supported by the company’s relevant internal data. This study provides managerial contributions by recommending a focus on investment in human resource skill development rather than solely on the acquisition of AI tools.