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All Journal Jurnal Pendidikan Matematika Jurnal Infinity Jurnal Inovasi Teknologi Pendidikan JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Elemen Jurnal Sains Matematika dan Statistika JPSriwijaya Jurnal Penelitian Sains BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Organisasi Dan Manajemen Jurnal Infomedia Teorema: Teori dan Riset Matematika JKPM (Jurnal Kajian Pendidikan Matematika) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat INTEGRITAS : Jurnal Pengabdian Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Diseminasi : Jurnal Pengabdian kepada Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Ilmu Sosial dan Humaniora Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Matematika Integratif STATISTIKA Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Infinity Mathematics Education Journal
Dian Cahyawati
Jurusan Matematika, Fakultas MIPA, Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Penerapan Model Based-Clustering Kriteria Integrated Completed Likelihood (ICL) untuk Mengelompokkan Kabupaten/Kota di Provinsi Jambi Berdasarkan Indikator Pendidikan Khairani, Mawaddah; Cahyawati, Dian; Dwipurwani, Oki; Hanum, Herlina
Jurnal Penelitian Sains Vol 26, No 2 (2024)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v26i2.1025

Abstract

Kondisi tujuan mutu pendidikan di Provinsi Jambi masih memiliki banyak kelemahan yang harus diperbaiki dan memiliki tingkat partisipasi pendidikan yang berbeda-beda pada setiap wilayah. Tujuan penelitian ini adalah mengelompokkan wilayah di Provinsi Jambi untuk mendapatkan kesamaan karakteristik antar kelompok berdasarkan indikator pendidikan pada setiap jenjang pendidikan yaitu tingkat pendidikan dasar, menengah, dan tinggi. Metode pengelompokan yang diterapkan adalah metode Based-Clustering dengan kriteria multivariat Integrated Completed Likelihood (ICL). Data indikator pendidikan dari 11 wilayah di Provinsi Jambi yang dianalisis adalah Angka Partisipasi Kasar (APK), Angka Partisipasi Sekolah (APS), Angka Partisipasi Murni (APM), Angka Melek Huruf (AMH), dan Rata-rata Lama Belajar (RLB). Data diperoleh dari halaman publikasi resmi BPS Provinsi Jambi. Hasil penelitian menunjukkan bahwa pengelompokan 11 wilayah untuk tingkat pendidikan dasar hanya ditujukan menjadi satu kelompok. Setiap wilayah di Provinsi Jambi memiliki kualitas pendidikan yang tidak jauh berbeda. Pengelompokan wilayah untuk tingkat pendidikan menengah dan pendidikan tinggi menghasilkan dua kelompok. Kedua kelompok yang dihasilkan memiliki kualitas pendidikan yang berbeda. Kedua kelompok tersebut memberikan perbedaan yang signifikan berdasarkan hasil uji perbedaan rata-rata dengan Manova. Kelompok wilayah yang memiliki nilai rata-rata dari indikator pendidikan lebih tinggi memiliki kualitas pendidikan yang lebih baik dibandingkan dengan kelompok wilayah yang memiliki nilai rata-rata dari indikator pendidikan yang lebih rendah.
COMBINATION OF KNN AND PARTICLE SWARM OPTIMIZATION (PSO) ON AIR QUALITY PREDICTION Yahdin, Sugandi; Desiani, Anita; Andhini, Shania Putri; Cahyawati, Dian; Primartha, Rifkie; Arhami, Muhammad; Arinda, Ditia Fitri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.774 KB) | DOI: 10.30598/barekengvol16iss1pp007-014

Abstract

The increase in the use of energy sources causes air pollution. The Air Pollutant Index (API) is information about the air quality of a place and at a certain time. API has several parameters, namely SO2, PM10, NO2, O3, and CO. In this study, the KNN method was used to assist categorize air quality. However, all training data were used during the classification process with KNN causes a long prediction process. Another problem with KNN is difficult to determine the optimal value of the K parameter in KNN. The Particle Swarm Optimization (PSO) method can be used for problems on KNN. Therefore, the aim of this study is to predict air quality based on the API by combining the KNN-PSO method. The dataset used is the API dataset for the DKI Jakarta area 2017-2019 totaling 1075 data. The results showed the accuracy for the KNN-PSO method was 98.42% with a precision value of 97.75% and a recall value of 98.13%. To further analyze the results on the combined method, the results of this study were compared with the KNN method only. The results obtained from the KNN method are lower than the KNN-PSO method. So it can be concluded that the KNN-PSO method is great and robust in air quality classification or prediction.
CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA Saragih, Anita; Sukanda, Dian Cahyawati; Eliyati, Ning
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1257-1264

Abstract

Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out of 34 provinces in Indonesia, with confirmed cases totalling 82,407. This showed that the spread of Covid-19 in South Sumatra was still high. This study aimed to determine the cluster of regions in South Sumatra based on Covid-19 case data. Clustering regions used agglomerative hierarchical method. The process began with standardizing the data, calculating the similarity distance between objects, determining the optimal number of clusters using the Silhouette method, and the last was clustering analysis. This study found that the optimal number of clusters consisted of two clusters. The clustering process starts with objects 2 and objects 4 because these two objects have the closest similarity distance. In conclusion, objects with the closest similarity distance (in one cluster) have the same data movement (fluctuation).
PENGEMBANGAN MOTIF FRAKTAL PADA USAHA PRODUKSI KAIN JUMPUTAN PALEMBANG Dewi, Novi Rustiana; Susanti, Eka; Hanum, Herlina; Cahyawati, Dian; Zayanti, Des Alwine
INTEGRITAS : Jurnal Pengabdian Vol 6 No 1 (2022): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v6i1.1335

Abstract

Kain jumputan adalah salah satu kain khas Palembang. Kain jumputan Palembang memiliki ciri dan kekhasan tersendiri baik dari sisi warna maupun motif. Motif kain jumputan Palembang adalah pengulangan dari suatu bentuk bangun yang digambarkan secara berulang pada lembaran kain. Konsep pengulangan motif pada kain jumputan bersesuaian dengan konsep bangun fraktal. Penerapan teknologi komputer dan konsep matematika pada rancangan motif kain jumputan diharapkan dapat menghasilkan variasi motif kain jumputan yang dapat meningkatkan penjualan kain jumputan Palembang. Dari kegiatan pengabdian ini, dihasilkan kain dengan motif fraktal lupis dan titik tujuh. Kedua motif fraktal digambar menggunakan bangun fraktal himpunan Julia dan kurva Sierspinski Kata Kunci: Fraktal, Jumputan Palembang, Himpunan Julia, Kurva Sierspinski
Pengenalan Aplikasi Perpustakaan Digital Sebagai Upaya Peningkatan Kemampuan Literasi Anak Sekolah Dasar Dwipurwani, Oki; Susanti, Eka; Sukanda, Dian Cahyawati; Indrawati, Indrawati; Cahyono, Endro Setyo
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Volume 5 Nomor 2 Tahun 2025 (Juni)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v5i2.5355

Abstract

Basic literacy that must be developed from elementary school includes reading, writing literacy and numeracy literacy. This service activity introduced a digital library application for the reading literacy program at SDN 11 Indralaya. This service activity aims to introduce digital library applications to improve reading and writing literacy skills and increase reading sources in elementary schools. The method of implementing activities is learning assistance. The activity participants were students in grades III, IV, V, and teachers. Literacy skills were measured using a digital library application. The measurement variables involved in this activity are the variables of story type, reading duration, comprehension level, answering ability and activeness. The results of the activity showed high enthusiasm from students in using the digital library application and an increase in reading interest. The evaluation results also show that there is a high level of literacy comprehension among students, and it generally increases with the grade of the students. An increase in reading duration can have a direct impact on improving students' comprehension and an indirect impact on their answering skills. This indicates an improvement in students' reading literacy. The introduction of digital libraries can be an effective solution in expanding access to quality reading materials while encouraging the literacy skills of elementary school students in this digital era.
The Facilitated Support for Strengthening Statistical Literacy among Fishermen in Burai Village within the Context of Local Fishing Culture Dian Cahyawati; Eka Susanti; Muji Gunarto; Putri Nilam Cayo; Husnul Khotimah; Andi Tenri Ajeng Nur
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 10 No. 2 (2026): May 2026
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v10i2.2277

Abstract

Background: Burai Village is a riverside fishing community with not high enough levels of formal education and limited use of data in daily decision making. Fishermen typically rely on intuition when planning fishing activities, managing income, and interpreting river conditions. Purpose of the Study: This community service program addressed the need to strengthen statistical literacy as a foundation for data-driven decision making. The program aimed to improve fishermen’s ability to record, organize, and interpret catch data, while increasing awareness of the value of information and simple technology in supporting economic decisions. Methods: A community-based mentoring model was applied, consisting of dialogue sessions, participatory workshops, and hands-on training in data recording. A culturally contextual learning approach linked statistical concepts with local fishing practices. Results: The results demonstrated a measurable improvement in participants’ statistical understanding. The mean score increased from 65 (SD = 21.21) in the pretest to 75 (SD = 10.00) in the posttest, indicating both improved performance and more consistent comprehension among participants. Participants also showed improved ability to interpret tables and graphs and increased interest in using simple digital tools for data documentation.
Intensi Migrasi Mahasiswa dan Fenomena “Kaburajadulu” Analisis Regresi Logistik pada Mahasiswa Universitas Sriwijaya Angra Aldora; Dian Cahyawati; Oki Dwipurwani; Eka Susanti; Des Alwine
SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora Vol. 5 No. 2 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/sosmaniora.v5i2.7741

Abstract

This study is motivated by Indonesia’s efforts to accelerate the achievement of the Indonesia Golden Vision 2045 by optimizing the demographic bonus as a foundation for national development. The success of this vision depends on the availability of competitive and high-quality human resources. However, the growing migration intention among young generations, reflected in the “#KaburAjaDulu” phenomenon, raises concerns about potential brain drain if not properly managed. University students, as future educated human capital, play a strategic role in national development. This research aims to examine students’ perceptions toward migration intention and to develop a probabilistic model using binary logistic regression. A quantitative approach was applied using primary data collected through questionnaires distributed to Universitas Sriwijaya students. The response variable is migration intention, while predictor variables include economic, financial, social, political, career, self-development, quality of life, and public facilities factors. Descriptive analysis shows that students with migration intentions generally have unfavorable perceptions of most predictor variables, while political factors display relatively balanced responses between students with and without migration intentions. The analysis results indicate that several perception variables significantly influence migration intention. The obtained binary logistic regression model is . Financial and self-development factors increase the probability of migration intention, whereas political factors reduce it. These findings highlight financial perception as the dominant predictor influencing students’ intention to migrate abroad and provide empirical evidence to support talent management policies for sustainable national development.
Co-Authors Ali Amran Andhini, Shania Putri Andi Tenri Ajeng Nur Angra Aldora Anita Desiani Anugrah, Hadip Apledaria Apledaria Arhami, Muhammad B.J Bangun, Putra Bambang Suprihatin Des Alwine Des Alwine Zayanti, Des Alwine Eka Susanti Eka Susanti Eka susanti Endang Sri Kresnawati Endro Setyo Cahyono Endro Setyo Cahyono, Endro Setyo Hadi Tanuji Herlina Hanum Herlina Hanum, Herlina Husnul Khotimah Indrawati Indrawati Indrawati Khairani, Mawaddah Muhammad 'Aqil Muji Gunarto Nadya Amalia Yulianti Nadya Amalia Yulianti Nadya Riri Febiyanti Ning Eliyati Nita Delima Novi Rustiana Dewi Oki Dwipurwani Putra Bahtera Jaya Bangun, Putra Bahtera Jaya Putri Bella Nusantara Putri Nilam Cayo Rifkie Primartha Riri Abdiati Robinson Sitepu Ruswanti Ruswanti Ruswanti Ruswanti, Ruswanti Saragih, Anita Sri Indra Maiyanti Sufyani Prabawanto, Sufyani Sugandi Yahdin Sukmalina, Sukmalina Titania Jeanni Charisa