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All Journal Natural Science: Journal of Science and Technology Jurnal Pendidikan Jasmani, Olahraga dan Kesehatan Jurnal Pendidikan Bahasa Jepang Undiksha KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Electronic Journal of Graph Theory and Applications (EJGTA) Tadris: Jurnal keguruan dan Ilmu Tarbiyah Journal of the Indonesian Mathematical Society Al-Jabar : Jurnal Pendidikan Matematika JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vygotsky: Jurnal Pendidikan Matematika dan Matematika InPrime: Indonesian Journal Of Pure And Applied Mathematics Koordinat : Jurnal Pembelajaran Matematika dan Sains Parameter: Journal of Statistics Fraktal: Jurnal Matematika dan Pendidikan Matematika Arus Jurnal Sosial dan Humaniora Almufi Jurnal Pengabdian kepada Masyarakat Sulawesi Tenggara Educational Journal Journal Of Human And Education (JAHE) Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka
I Wayan Sudarsana
Universitas Tadulako
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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Implementation of Etlingera Elatior for Unique Branding of Central Sulawesi Batik Motif Ikram; Abdi; Mutmainna, Nurul; Khasmawati, Julia; Wahyuli, Diana; Sudarsana, I Wayan; Junaidi
Parameter: Journal of Statistics Vol. 2 No. 3 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2022.v2.i3.16240

Abstract

Batik is the art work of the Indonesian people which is a cultural heritage from their ancestors which has become one of the world's recognized cultural heritages. Batik itself has a variety of patterns that are influenced by the customs of the local community and contains deep meaning and philosophy. Endemic flora and fauna are often used as patterns for batik motifs. In the process of forming batik motifs, mathematical knowledge is often required which sometimes appears naturally. Mathematics that is closely related to culture is called ethnomathematics as a branch of mathematics. Ethnomathematics can be used in forming batik patterns, especially fractal forms. A fractal shape is an object that appears to have a symmetric self-resemblance to one another when viewed at a certain scale and is the smallest part of the overall structure of the object. The purpose of this research is to make fractals of local batik motifs from Central Sulawesi using the endemic plant of Bunga Katimong (Etlingera Elatior) with the help of the j-Batik application so that new motifs are obtained to add to the diversity of existing batik motifs. The new batik motifs produced in this research are Katimong, Kantan, Kincung and Honje.
Pengaruh Motivasi Kerja, Kompensasi dan Kepuasan Kerja terhadap Kinerja Karyawan Pada Pt. Geo Gea Mineralindo Sudarsana, I Wayan; Marsalena, Nindi Ade
Arus Jurnal Sosial dan Humaniora Vol 5 No 2: Agustus (2025)
Publisher : Arden Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57250/ajsh.v5i2.1614

Abstract

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh motivasi kerja, kompensasi, dan kepuasan kerja terhadap kinerja karyawan di PT. Geo Gea Mineralindo. Penelitian ini menggunakan pendekatan kuantitatif. Populasi dalam penelitian ini adalah 35 karyawan PT. Geo Gea Mineralindo. Analisis yang digunakan adalah analisis regresi linier berganda dengan menggunakan SPSS 27. Hasil penelitian menunjukkan bahwa (1) motivasi kerja, kompensasi, dan kepuasan kerja berpengaruh positif dan signifikan terhadap kinerja karyawan, (2) motivasi kerja berpengaruh positif dan signifikan terhadap kinerja karyawan, (3) kompensasi berpengaruh positif tetapi tidak signifikan terhadap kinerja karyawan, dan (4) kepuasan kerja berpengaruh positif dan signifikan terhadap kinerja karyawan.
A Study on Sentiment Analysis of Public Response to The New Fuel Price Policy In 2022: A Support Vector Machine Approach Putri, Niluh Putu Aprillia Puspitadewi Sudarsana; Angreni, Dwi Shinta; Sudarsana, I Wayan
InPrime: Indonesian Journal of Pure and Applied Mathematics Vol. 7 No. 1 (2025)
Publisher : Department of Mathematics, Faculty of Sciences and Technology, UIN Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/2twt5d12

Abstract

The Indonesian government's decision to raise fuel prices in 2022, following a global surge in crude oil prices, triggered widespread public debate. Understanding public sentiment toward such policy decisions is essential for determining the appropriate timing of implementation while minimizing negative reactions. This study aims to classify public sentiment regarding the fuel price hike using the Support Vector Machine (SVM) algorithm. Data were collected from Twitter through web scraping using the SNScrape library in Python. A total of 3,000 tweets were gathered and underwent preprocessing steps such as case folding, tokenization, stopword removal, and stemming. The classification model was built in Google Colab using the SVM algorithm to categorize tweets as positive (+) or negative (–). Model performance was evaluated using a confusion matrix, achieving an accuracy of 81.0%. The results showed that 63.6% of public responses were negative, while 36.4% were positive. Additionally, it was observed that the accuracy converged to 81.1% as the number of training iterations increased. The findings were presented through word clouds and pie charts to enhance interpretability, and a simple graphical user interface (GUI) was developed for user interaction. The study indicates that the government’s repeated delays in implementing the price adjustment may have reflected sensitivity to public sentiment. This research demonstrates the potential of sentiment classification as a tool for evidence-based policymaking, offering insights into the social dynamics surrounding policy changes. Future research could expand by incorporating multi-class sentiment categories or real-time data for dynamic policy evaluation. Keywords: Fuel price; Public opinion; Sentiment analysis; Social media; SVM.   Abstrak Keputusan pemerintah Indonesia untuk menaikkan harga bahan bakar minyak pada tahun 2022 dan disusul oleh lonjakan harga minyak mentah global, memicu perdebatan publik yang meluas. Memahami sentimen publik terhadap keputusan kebijakan tersebut sangat penting untuk menentukan waktu implementasi yang tepat untuk meminimalkan reaksi negatif. Penelitian ini bertujuan untuk mengklasifikasikan sentimen publik terhadap kenaikan harga bahan bakar minyak menggunakan algoritma Support Vector Machine (SVM). Data dikumpulkan dari Twitter melalui web scraping menggunakan pustaka SNScrape dalam bahasa Python. Sebanyak 3.000 tweet dikumpulkan dan dilakukan tahap praproses seperti case folding, tokenization, stopword removal, dan stemming. Model klasifikasi dibangun di Google Colab menggunakan algoritma SVM untuk mengkategorikan tweet sebagai positif (+) atau negatif (–). Kinerja model dievaluasi menggunakan matriks confusion dan mencapai akurasi 81,0%. Hasil penelitian menunjukkan bahwa 63,6% tanggapan publik bersifat negatif, sedangkan 36,4% bersifat positif. Selain itu, akurasi konvergen menjadi 81,1% seiring dengan peningkatan jumlah iterasi pelatihan. Temuan tersebut disajikan melalui word cloud dan diagram pai untuk meningkatkan interpretabilitas, dan graphical user interface (GUI) sederhana dikembangkan untuk interaksi pengguna. Studi ini menunjukkan bahwa penundaan berulang pemerintah dalam menerapkan penyesuaian harga mungkin mencerminkan kepekaan terhadap sentimen publik. Penelitian ini menunjukkan potensi klasifikasi sentimen sebagai alat untuk pembuatan kebijakan berbasis bukti, yang menawarkan wawasan tentang dinamika sosial seputar perubahan kebijakan. Penelitian di masa mendatang dapat diperluas dengan menggabungkan kategori sentimen multikelas atau data waktu nyata untuk evaluasi kebijakan yang dinamis. Kata Kunci: Bahan bakar; Opini public; Analisis sentiment; Mesia social; SVM. 2020MSC: 62H30, 91D30.
PEMBERDAYAAN SISWA SMA MELALUI PENGOLAHAN POPCORN KELOR DAN STIK KELOR DENGAN DIGITAL BRANDING UNTUK MENINGKATKAN KEWIRAUSAHAAN DAN PEMASARAN PRODUK LOKAL Handris, Handris; Naim, Ifin; Mariani, Mariani; Lajaria, Ridha Taurisma; Suprianto, Ghalib; Patulak, Lucia Evianti; Sudarsana, I Wayan
Jurnal Pengabdian Masyarakat Sabangka Vol 4 No 06 (2025): Jurnal Pengabdian Masyarakat Sabangka
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/sabangka.v4i06.1884

Abstract

This activity aims to provide an understanding of business development based on marketing strategies. Marketing strategy is a crucial aspect for Moringa Popcorn and Moringa Stick producers to achieve business goals, especially in the face of competition. Business development requires the implementation of a marketing mix encompassing Product, Price, Promotion, and Place/Distribution. These four elements play a role in directing marketing activities to be more effective and increase product competitiveness. This community service activity was conducted at SMAN 20 South Konawe, Southeast Sulawesi Province, over two months through outreach and workshops. Participants included 25 teachers and students, supported by 7 university students and 10 lecturers from the Faculty of Economics and Business. The methods used included participatory learning, mentoring, and hands-on practice. Evaluation results showed a positive response from participants. They considered the marketing strategy material, covering product, price, distribution, and promotion, very useful and able to increase motivation in developing the business and supporting family economic growth.
Representational Transition Patterns of Pre-service Teachers in Solving Convergent Sequence Problems Nursupiamin; Rochaminah, Sutji; Sudarsana, I Wayan
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 10 No 2 (2025): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v10i1.28603

Abstract

This study investigates the representational transition patterns of pre-service teachers in solving convergent-sequence problems, with a focus on how they utilize symbolic, visual, and verbal representations. Using a qualitative phenomenological design, seven pre-service mathematics teachers were purposively selected based on their dominant representation modes (symbolic, visual, verbal). Participants solved a convergent-sequence task, and their problem-solving processes were analyzed using a modified Colaizzi method, with triangulation ensuring the validity of the findings. Three key patterns emerged: a stagnant reliance on a single representation mode (symbolic or verbal), a linear transition from visual to symbolic forms, and a complementary use of symbolic and verbal representations. No cyclic or complex transition patterns were identified, indicating limited representational fluency. The findings highlight the dominance of symbolic representations among pre-service teachers, with some exhibiting limited representational flexibility. The study suggests that fostering representational fluency, where students can effectively transition between different forms, is crucial for deeper conceptual understanding, especially in abstract topics like convergent sequences. Pedagogically, the study underscores the importance of instructional strategies that encourage the integration and transition across symbolic, visual, and verbal representations. This research contributes to the understanding of representational transition patterns in real analysis, an area often underexplored in mathematics education, and offers insights for improving teacher preparation programs.
Operationalizing dominant mathematical representations in real analysis through an open ended diagnostic Nursupiamin; Resnawati; Ikram, Muhammad; Rustan, Edhy; Rochaminah, Sutji; Sudarsana, I Wayan
Al-Jabar: Jurnal Pendidikan Matematika Vol 17 No 1 (2026): Al-Jabar : Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v17i1.29911

Abstract

Purpose: This study aims to develop an open-ended diagnostic test to identify pre-service mathematics teachers’ Dominant Mathematical Representations (DMR) in Real Analysis, with a specific focus on convergent sequences. Method: A Research and Development (R&D) approach was employed using Plomp’s development model, which includes preliminary research, prototyping, and assessment phases. The diagnostic instrument was constructed based on representational theory and consisted of six open-ended tasks designed to elicit representational choice, integration, and transferability. Content validity and linguistic clarity were evaluated by two mathematics education experts and one language expert. A limited field trial involving 19 pre-service mathematics teachers was conducted to examine the instrument’s validity and practicality. Data were collected through the diagnostic test, expert validation sheets, and a student response questionnaire, and analyzed descriptively using qualitative feedback and quantitative percentage-based indicators. Findings: The results indicate that the developed diagnostic test demonstrates strong content validity, with a mean validity score of 85.4%, classified as very valid. The practicality evaluation yielded a mean score of 83.7%, indicating that the instrument is very practical in terms of clarity, format, language, and time allocation. Expert review confirmed alignment between the test items and the DMR construct, while student responses indicated feasibility and comprehensibility. Significance: This study contributes to mathematics education assessment by operationalizing Dominant Mathematical Representations as an explicitly assessable construct through open-ended diagnostic tasks, providing a foundation for representation-sensitive instruction in Real Analysis.
Characteristics Of Students’ Mathematical Problem-Solving Strategies In Problem-Based Learning Through Polya’s Stages Ulfa Yuliana; Stepan Tudu; Nursupiamin Nursupiamin; I Wayan Sudarsana
Koordinat Jurnal MIPA Vol. 7 No. 1 (2026)
Publisher : Program Studi Tadris Matematika dan Tadris Ilmu Pengetahuan Alam, Fakultas Tarbiyah dan Ilmu Keguruan (FTIK), Universitas Islam Negeri (UIN) Datokarama Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/koordinat.v7i1.219

Abstract

This study aimed to explore the characteristics of students’ mathematical problem-solving strategies in Problem-Based Learning through Polya’s stages in solving compound interest problems. This study employed a qualitative descriptive case study. The participants consisted of 35 Grade XI students at SMA Negeri 2 Tolitoli, Central Sulawesi. Data were collected through problem-solving tests, interviews, observations, and documentation. Three representative students from high-, moderate-, and low-level problem-solving characteristic profiles were selected purposively for in-depth analysis. Data were analyzed using Miles and Huberman’s interactive model. The findings showed that students demonstrated different strategy characteristics across Polya’s stages. At the understanding stage, students demonstrated complete identification, partial understanding, and misunderstanding strategies. During the planning stage, conceptual, procedural, and trial-and-error strategies emerged. At the implementation stage, students demonstrated systematic solution, procedural error, and inconsistent-step strategies, while at the reflective stage, students showed solution evaluation, partial verification, and no verification strategies. Students with high-level profiles tended to demonstrate coherent and interconnected strategy patterns, whereas students with low-level profiles demonstrated fragmented and inconsistent processes. The findings further indicated that students’ strategies developed as interconnected processes in which difficulties emerging at earlier stages influenced subsequent stages. Reflective activities were identified as the weakest component of students’ mathematical problem-solving processes. The findings contribute theoretically to understanding how students’ mathematical problem-solving strategies emerge and develop across Polya’s stages within Problem-Based Learning environments. Practically, the findings highlight the importance of strengthening reflective activities and supporting interconnected strategic thinking in mathematics learning
Co-Authors Abdi Abdul Mahatir Najar Agusman Sahari Al Fajri, Iman Andi Hendra Anita Ahmad Kasim Ayu Lestari D Farhamsa, D Desy Lusiyanti Dwi Shinta Angreni Erwanda, Muhammad Tegar Faisal Susanto Farih, Muhamad Habibi Habibi Handris, Handris Hayyan Ahmad Ulul Albab Hervisari, Hervisari Huzaimah Huzaimah I Gede Mahendra Darmawiguna I Made Gede Sunarya Ikram Ikram, Muhammad Indalestari, Wa Ode Dien Ismail, M S Ismiyanti, Ismiyanti Jaenuddin, Arsyad Junaidi Junaidi Kadek Eva Krishna Adnyani Khasmawati, Julia Kristiana Wijaya Mariani Mariani Marsalena, Nindi Ade Marsalena, Nindy Ade Merdekawati, Dian Ayu Muhammad Rivai Mutmainna, Nurul Naim, Ifin Ni Nengah Suartini, Ni Nengah Noviana Noviana Nur Aisyah Nurainun Nurainun Nurhayati, Listi Nursupiamin Nursupiamin, Nursupiamin Nurul Arifin Patulak, Lucia Evianti Putri, Niluh Putu Aprillia Puspitadewi Sudarsana Raiza, Raiza Rajuddin, Wa Ode Nursaadha Rasna Resnawati Ridha Taurisma Lajaria Rina Ratianingsih Rita, Wa Rita, Wa Ade Rizki Amalia Rustan, Edhy S Fatimah, S S Slamin Selvy Musdalifah Siswahyudianto Stepan Tudu Suhartien, Inten Sulistiawati Mendi Sultan Andhika Suprianto, Ghalib Sutji Rochaminah Talaba, Djeliyana Titop, Herman Ulfa Yuliana Wahyuli, Diana Wahyuningsi, Sri Wati, Kristin Lita Yesi, Indah