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ANALISIS SENTIMEN PROGRAM MAKAN BERGIZI GRATIS MENGGUNAKAN SVM DAN KNN DENGAN TF-IDF DAN TF-ABS MAJIDAH, SEVIRA HUKMAN; HENDIKAWATI, PUTRIAJI
E-Jurnal Matematika Vol. 15 No. 1 (2026)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2026.v15.i01.p496

Abstract

The Free Nutritious Meal Program, initiated by the government to improve child and maternal health, has generated varied public responses on social media. This study aims to classify public sentiment toward the program by applying machine learning models to social media text data. The dataset used consists of 9000 tweets from Platform X that have been manually labeled into positive, negative, and neutral categories. Classification was performed using Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms combined with two term weighting techniques Term Frequency-Inverse Document Frequency (TF-IDF) and Term Frequency-Absolute (TF-ABS). The performance of each model was evaluated using accuracy, precision, recall, and F1-score. The results show that SVM model with TF-ABS achieved the best performance with 99.69% accuracy, precision 99.69%, recall 99.68%, and F1-score 99.68%. The KNN model with TF-ABS also performed well, reaching 95.55% accuracy. In contrast, models employing TF-IDF demonstrated noticeably lower performance, with the SVM achieving an accuracy of [75,53%] and the KNN reaching [70,89%], indicating a clear performance gap compared to the TF-ABS weighting scheme. This research provides insights into suitable machine learning models and term weighting methods for sentiment analysis of public opinion on government programs using social media data.
Mathematical Reasoning Ability in Terms of Self-Efficacy in the CORE Learning Model Assisted by Liveworksheet Frazwanti, Yuni; Isnarto, Isnarto; Hendikawati, Putriaji
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 7 No. 2 (2025): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v7i2.1276

Abstract

This study aims to analyze the quality of the CORE learning model assisted by Liveworksheet and examine the effect of self-efficacy on students' mathematical reasoning. A quantitative method with a posttest-only control group design was used. Instruments included a reasoning test, self-efficacy questionnaire, student response questionnaire, and observation sheet. The sample consisted of eighth-grade students at SMPN 16 Semarang, selected through cluster random sampling. Data analysis involved planning, implementation, evaluation, and simple linear regression. The results showed the CORE model with Liveworksheet was of good quality, and self-efficacy significantly influenced mathematical reasoning, contributing 71.6%. It is recommended that the interactive CORE model be further developed along with differentiated teaching tools to ensure learning becomes more adaptive to students’ needs.
Co-Authors 'Aina, Maula Qorri Abdurakhman Abdurakhman Adisgia, Devintha Rukmandani AGUSTINA, SELY Ahmad Dzulfikar Ambarwati, Ratna Amin Suyitno Anggriningrum, Dwi Prisita Arief Agoestanto Asriani, Elisa Desi Assidiq, Addinul Astuti, Raras Setya Auliya, Amara Sweetya Aviliana, Firna Bambang Eko Susilo Bambang Eko Susilo Bidayatul hidayah Budi Waluya David Mubarok, David Dewi, Heni Lilia Dwijanto Dwijanto, Dwijanto Edy Soedjoko Emi Pujiastuti Farkhan, Feri FAUSTINA, RIZA SILVIA Febrianto, Laeli Sidik Florentina Yuni Arini, Florentina Yuni Frazwanti, Yuni Hapsari, Desy Trya Harwanti, Nur Achmey Selgi hengky tri ikhsanto, hengky tri ikhsanto Hilda, Eufrasia Ismail, Abid Khoirul Isnaeni, Ari Isnaini Rosyida, Isnaini Isnarto Isnarto, Isnarto Juwita, Puspa Karomah, Yuliyanti Kartono , Khanifah Khanifah Khasanah, Uswatul Khunaeni, Sirilivia Kiswandi, Kiswandi Kristina Wijayanti Kurniana Bektiningsih Larasati, Enggar Niken Latifah, Nur Tsani Lestari, Pinta Dian MAJIDAH, SEVIRA HUKMAN Mashuri - Mashuri Mashuri Masrukan Masrukan Mohammad Asikin Much Aziz Muslim Muhammad Kharis Nafiul Anam, Nafiul Nino Adhi, Nuriana Rachmani Dewi Nitoviani, Nindy Dwi Niyamae, Ade Noorliza Nofiyah, Noni Nur Hidayati Nur Hidayati Nuriana Rachmani DN Nuriana Rachmani DN, Nuriana Rachmani Nurkaromah Dwidayati, Nurkaromah Nurlazuardini, Novia Nilam Nursiwi Nugraheni, Nursiwi Paradita, Evelyn Prabowo, Ardi Pramesti, Santika Lya Diah Pramesti Pratama, Alfian Adi Pratidina, Inung Pratiwi, Yuninda Diah Purbowo, Gallant Alim Purnawan, Dedy Rahayu Budhiati Veronika Rahayu Budhiyati Rahman, Erik Rina Dwi Setyawati Rina Dwi Setyawati Riza Arifudin Ruliana Ruliana, Ruliana Saefurrochman, Wisatsana Roychan Santika Lya Diah Pramesti Sanusi, Ratna Nur Mustika Saraswati, Andhina Sari, Ratna Novita Scolastika Mariani Setiani, Ida St. Budi Waluya Subanar . Sugiman Sugiman Sukestiyarno Sukestiyarno Sunarmi Sunarmi Supriyono Supriyono Suryani, Andika Resti Tarno Tarno Trimurtini, Trimurtini Ulya, Siti Faiqotul Veronica, Rahayu Budhiati Veronica, Rahayu Budhiati Wahyuningsih, Vebryana Walid Walid Walid, Walid Wardono Wardono Wardono Widayanti, Christina Zaenal Abidin Zaenuri Mastur Zahra, Mega Dea Zoraida, Desti Anisa