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All Journal TEKNOLOGI INFORMASI Jurnal Pendidikan dan Pemberdayaan Masyarakat SMATIKA Al-Jabar : Jurnal Pendidikan Matematika Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Pendidikan Dasar SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Golden Age Almana : Jurnal Manajemen dan Bisnis Epistema Jurnal Penelitian Pendidikan Matematika Jurnal Janitra Informatika dan Sistem Informasi PMSDU Global Educational Research Review
Dian Wahyuningsih
PGMI Sekolah Tinggi Agama Islam Al-Khairaat Labuha
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementasi Scrapping Data Untuk Sentiment Analysis Pengguna Dompet Digital dengan Menggunakan Algoritma Machine Learning Yuniar, Eka; Utsalinah, Dwi Safiroh; Wahyuningsih, Dian
Jurnal Janitra Informatika dan Sistem Informasi Vol. 2 No. 1 (2022): April - Jurnal Janitra Informatika dan Sistem Informasi
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/janitra.v2i1.145

Abstract

Analysis of social media is an effective tool for understanding people's attitudes, preferences and opinions. For a company, social media analysis can help companies to make decisions about needs, attitudes, opinions or trends about potential customers or potential customers. Hootsuite's Wearesocial research results show that out of 150 million Indonesians, 88% are actively using social media. As a result, a lot of information that was once difficult to obtain is now very easy to obtain. With so much data, data collection can be made easier by using an automated data collection system. The use of Machine Learning Algorithm as a method is used to find out how far the level of search from social media data collected is to get accurate results related to changes in behavior, lifestyle, and community activities in dealing with this pandemic. Scraping data is done using Twitter social media data with various hashtags that support opinion mining contained in the community. The results obtained are the analysis of gopay users having a positive sentiment level of 79,6%, negative sentiment of 20,4% from total of 250 data. Meanwhile, Linkaja users have a positive sentiment level of 62,1%, 37,9% negative comments from 250 data comments taken. The test results also carried out a process of calculating the level of accuracy with recall and precision, namely 87% for Gopay and 89% for LinkAja.
Aplikasi Parenting Berbasis Mobile Trisnosami, Sri Esti; Wahyuningsih, Dian; Zahra, Erfian Arum
Teknologi Informasi : Teori, Konsep, dan Implementasi : Jurnal Ilmiah Vol 14 No 2 (2023): JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi
Publisher : LPPM STIMATA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36382/jti-tki.v14i2.508

Abstract

Pola asuh sangat penting bagi perkembangan holistik anak-anak, yang melibatkan upaya sadar pengasuh untuk memberikan perlindungan, pengasuhan, dan menanamkan nilai-nilai moral dan etika sejak bayi hingga dewasa. Namun, kurangnya pengetahuan tentang pengasuhan anak yang efektif sering kali menyebabkan peran orang tua menjadi kurang optimal dan kesalahan yang tidak disengaja. Laporan yang mengkhawatirkan dari Komisi Perlindungan Anak Indonesia (KPAI) mengungkapkan adanya lonjakan pelanggaran hak-hak anak selama pandemi, terutama di lingkungan keluarga. Sebagai tanggapan, Aplikasi Pengasuhan Anak Berbasis Mobile telah dikembangkan untuk menawarkan sumber daya yang dapat diakses dan konten multimedia tentang strategi pengasuhan anak yang efektif. Platform inovatif ini bertujuan untuk memberdayakan orang tua dengan pengetahuan yang diperlukan untuk memitigasi pelanggaran hak-hak anak dan kekerasan, serta menciptakan lingkungan yang lebih aman bagi anak-anak untuk berkembang.
PEMBERDAYAAN PEREMPUAN MELALUI PENDAMPINGAN PENGEMBANGAN PRODUK OLAHAN TEPUNG dan MIE MOCAF (STUDI KASUS : KELOMPOK WANITA TANI “SRI TANJUNG”) Yuniar, Eka; Karmilasari, Karmilasari; Maknunah, Jauharul; Wahyuningsih, Dian; Andri Purwanti, Gettik
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.19780

Abstract

ABSTRAKPengabdian masyakarat ini merupakan kolaborasi STMIK Pradnya Paramita, Universitas Gunadarma dan Institut Pertanian Malang ke mitra Kelompok Wanita Tani (KWT) “Sri Tanjung di daerah Kesambon Malang dengan jumlah anggota berkisar 50 orang. Latar belakang dari pengabdian masyarakat ini melihat potensi dari mitra yang memiliki produk komoditi singkong yang berlimpah yang hasilnya dikonsumsi langsung anggotanya, dijual dan sebagian dibuat dalam bentuk produk olahan singkong dalam bentuk tepung mocaf (modified cassava) dan produk turunannya seperti mie mocaf. Permasalahannya KWT belum memiliki mesin produksi sendiri dan pemasaran masih terbatas di lingkungan sekitar. Tujuan dari program kemitraan Masyarakat ini, adalah  menjadi fasiltator bagi KWT “Sri Tanjung” dalam pengembangan produksi tepung dan mie mocaf. Metode yang dilakukan melalui pemberian mesin produksi dan pendampingan serta penyuluhan terkait penggunaan mesin produksi dan pelatihan re-branding merk, digital marketing dan pengelolaan keuangan. Hasil dari kegiatan pendampingan ini, adanya peningkatan produksi tepung mocaf sebesar 50%, peningkatan produksi mie mocaf sebesar 50%, peningkatan omzet 1,5 kali dari sebelumnya, penambahan pengetahuan dan ketrampilan anggotanya, yaitu re-branding merk dan digital marketing, KWT memiliki merk/label baru tepung dan mie mocaf yang lebih menarik dan informatif dan KWT memiliki website untuk pemasaran digital. Secara keseluruhan peningkatan hardskill mitra dari kegiatan ini berkisar 50%, sedangkan dari sisi softskill terdapat peningkatan berkisar 75%. Kata kunci:  kelompok wanita tani (kwt); epung mocaf; mie mocaf ABSTRACTThis community service is a collaboration between STMIK Pradnya Paramita, Gunadarma University and the Malang Agricultural Institute with the partner Farmer Women's Group (KWT) "Sri Tanjung in the Kesambon Malang area with a number of members around 50 people. The background to this community service sees the potential of partners who have abundant cassava commodity products whose members consume the results directly, sell them and some of them are made into processed cassava products in the form of mocaf flour (modified cassava) and derivative products such as mocaf noodles. The problem is that KWT does not yet have its own production machine and marketing is still limited to the surrounding area. The aim of this Community Partnership program is to become a facilitator for KWT "Sri Tanjung" in developing the production of mocaf flour and noodles. The method used is through providing production machines and assistance and counseling regarding the use of production machines and training on brand re-branding, digital marketing and financial management. The results of this mentoring activity were an increase in mocaf flour production by 50%, an increase in mocaf noodle production by 50%, an increase in turnover of 1.5 times from before, an increase in the knowledge and skills of its members, namely brand re-branding and digital marketing, KWT has a brand /new labels for mocaf flour and noodles that are more attractive and informative and KWT has a website for digital marketing. Overall, the increase in partners' hard skills from this activity was around 50%, while in terms of soft skills there was an increase of around 75%. Keywords: farmer women’s group; mocaf flour; mocaf noodles.
Analysis of preservice mathematics teachers’ quantitative problem solving ability in solving PISA based tasks: a polya framework perspective Suratman, Dede; Yusmin, Edy; Meldi, Nadya Febriani; Wahyuningsih, Dian
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.v17i1.30300

Abstract

Purpose: This study aims to analyze the quantitative problem-solving ability of preservice mathematics teachers in solving PISA-based tasks across different contexts and proficiency levels using Polya’s four-stage problem-solving framework. Method: A qualitative descriptive design was employed to examine students’ reasoning processes through written responses and in-depth interviews. The participants were preservice mathematics teachers who had completed most of the core mathematics courses in their teacher education program. The research instrument consisted of three PISA-like tasks representing personal, socio-economic, and scientific contexts with cognitive demands corresponding to PISA Levels 6, 5, and 4. Students’ solutions were analyzed using Polya’s stages: understanding the problem, devising a plan, carrying out the plan, and verifying the solution. Based on their performance, participants were categorized into high, medium, and low groups to identify patterns of reasoning and problem-solving strategies. Findings: The results show that the overall numeracy ability of preservice mathematics teachers remains in the medium–low category with an average score of 44.10 and considerable variation among participants. High-performing students demonstrated stronger abilities in mathematical modeling, proportional reasoning, and variable identification, particularly when solving higher-level PISA tasks. In contrast, students in the medium and low groups relied primarily on procedural calculations with limited conceptual understanding of relational structures and representations. Although many students produced correct answers for Level 4 tasks, their solutions were often procedural rather than conceptually grounded. Significance: The findings indicate a gap between preservice teachers’ current quantitative literacy and the competencies required for PISA-type mathematical problem solving. Strengthening quantitative reasoning through authentic contexts, mathematical modeling, and structured reflection is therefore essential in mathematics teacher education programs.
Co-Authors Abd Majid, Mohamad Zuber Aditya Warman Aditya, Muhammad Akbar Adpriyadi, Adpriyadi Akrom, Muhamad Afif Al Amalda, Dea Andri Purwanti, Gettik Andy Prasetyo Wati Christina Ismaniati Dede Suratman Edy Yusmin Evy Sophia Franscisco, Jimmi Handayani, Sri Herlangga, Arya Inayati Nuraini Dwiputri Iqsa, Abil Jauharul Maknunah Karmilasari Küçükoğlü, Adnan Luqman Affandi Maknur, Johar Meldi, Nadya Febriani Mitayani Purwoko Nofitasari, Camelia Novi Trilisiana Ronnia, Ronnia Rukmono Budi Utomo, Rukmono Budi Safitri, Oktarina Salsabilla, Rizky siska, Fransiska Slamet Suyanto Stiawan, Ridho Trisnosami, Sri Esti Utsalinah, Dwi Safiroh Warsito . Wiwin Hartanto Yuniar, Eka Zahra, Erfian Arum