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All Journal Jurnal Matematika Kubik JURNAL PENGABDIAN KEPADA MASYARAKAT Demography Journal of Sriwijaya Jurnal Matematika: MANTIK Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Diseminasi : Jurnal Pengabdian kepada Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Ilmu Sosial dan Humaniora Innovative: Journal Of Social Science Research STATISTIKA Engagement: Jurnal Pengabdian Kepada Masyarakat JMA
Eka Susanti
Universitas Sriwijaya
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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PELATIHAN MERANCANG UJIAN ONLINE MENGGUNAKAN GOOGLE FORM UNTUK GURU-GURU DI WILAYAH KECAMATAN PAMPANGAN KABUPATEN OGAN KOMERING ILIR Novi Rustiana Dewi Yunani Alhadi; Eka Susanti; Dian Cahyawati; Bambang Suprihatin; Herlina Hanum
Diseminasi: Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 2 (2021)
Publisher : Pusat Pengabdian kepada Masyarakat- LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/diseminasiabdimas.v3i2.1151

Abstract

During the pandemic, teaching and learning activities in Indonesia were carried out online. Apart from online learning activities, the learning evaluation process is also carried out online. Computer applications can be used as a tool to carry out learning evaluation activities. In this service, training is given to make online exams using google form. The training participants were 32 teachers with undergraduate educational backgrounds consist of elementary, junior high school, senior high school public and private school teachers in Pampangan Subdistrict, Ogan Komering district, South Sumatra. The training activities are carried out for one day. The activity stages consist of the preparation, implementation and evaluation stages. Based on the results at the implementation and evaluation stages, it can be concluded that participants in online exam preparation training activities can make online exams using google form. Selama masa pandemi kegiatan belajar mengajar di Indonesia dilakukan secara online atau dalam jaringan. Selain kegiatan pembelajaran online, proses evaluasi pembelajaran juga dilakukan secara online. Aplikasi komputer dapat digunakan sebagai alat bantu untuk melaksanakan kegiatan evaluasi pembelajaran. Dalam kegiatan pengabdian ini diberikan pelatihan membuat ujian online dengan menggunakan google form. Peserta pelatihan sebanyak 32 orang guru dengan latar belakang pendidikan sarjana yang terdiri dari guru sekolah dasar, sekolah menengah pertama dan sekolah menengah atas negeri dan swasta di Kecamatan Pampangan, Kabupaten Ogan Komering Ilir, Sumatera Selatan. Kegiatan pelatihan dilaksanakan selama satu hari. Tahapan kegiatan terdiri dari tahap persiapan, pelaksanaan dan evaluasi. Berdasarkan hasil pada tahap pelaksanaan dan evaluasi dapat disimpulkan bahwa peserta kegiatan pelatihan penyusunan ujian online dapat membuat ujian online menggunakan google form.
PENGENALAN SOFTWARE MINITAB KEPADA GURU-GURU DI WILAYAH GUGUS II INDRALAYA KABUPATEN OGAN ILIR SUMATERA SELATAN Eka Susanti; Indrawati Indrawati; Oki Dwipurwani; Robinson Sitepu; Dian Cahyawati
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2020)
Publisher : Universitas Ahmad Dahlan, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jp.v4i3.1224

Abstract

Pengolahan data dapat dilakukan dengan perhitungan manual ataupun menggunakan alat bantu aplikasi software pengolah data. Salah satu software untuk mengolah data statistik yang dapat digunakan adalah software Minitab. Pengenalan software Minitab kepada kalangan guru dilaksanakan dengan dua tahap, yaitu tahap pelatihan dan tahap pendampingan. Tahap pertama bertujuan untuk memperkenalkan software minitab 17 sebagai alat bantu pengolahan data dan diharapkan agar para guru yang menjadi khalayak dapat memperluas pengetahuan dan meningkatkan motivasi untuk melakukan penelitian yang berkaitan dengan data. Tahap kedua bertujuan untuk membantu para guru agar lebih mampu menganalisis data hasil penelitian yang telah dilakukan dan menambah motivasi mereka untuk membuat publikasi hasil penelitiannya.  Berdasarkan pengamatan selama pelaksanaan tahap pertama berkaitan dengan bagaimana merumuskan hipotesis, mengolah data dengan aplikasi Minitab, dan menganalisis luarannya menunjukkan bahwa peserta sudah dapat mengenal dan menggunakan software Minitab.  Meskipun demikian, masih perlu diberikan pelatihan lanjutan agar peserta dapat lebih memahami penggunaan Minitab dan menginterpretasikan luarannya.. Berdasarkan hasil pemberian kuesioner, dapat disimpulkan bahwa kegiatan pengabdian pengenalan software Minitab 17 telah memberikan manfaat kepada peserta dan berdampak terhadap penambahan wawasan dan motivasi peserta untuk melakukan penelitian.
Analisis Biplot Robust dengan Metode Minimum Covariance Determinant dalam Mendeskripsikan Provinsi Sumatera Selatan Berdasarkan Karakteristik Angkatan Kerja Menganggur Dari Aspek Gender Oki Dwipurwani; Dian Cahyawati; Eka Susanti
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 10 Issue 1 June 2022
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v10i1.14070

Abstract

This study describes the unemployed workforce from the gender aspect in each district in South Sumatra Province (Sumsel), using secondary data taken from the Central Statistics Agency (BPS) in 2020. This study was analyzed using the statistical data description method, namely Robust Biplot Analysis, to data that contains outliers. The results obtained are the Biplot Robust graphic display which can explain the diversity of the data by more than 70%. The districts of Muara Enim, Lahat, Musi Banyuasin, Ogan Ilir, Prabumulih, Lubuk Lingau, and Palembang have the characteristics of the male Open Unemployment Rate (TPT) and the female TPT which is higher than the average for other districts. The districts of North Musi Rawas, Palembang, and Lubuk Lingau have the characteristics of high educated male and female unemployment. The districts/cities of Ogan Komering Ulu, Ogan Komering Ilir, and Musi Rawas Utara need attention because they have a higher percentage of unemployment in the desperate category than other districts, both male and female.
PENDAMPINGAN PENYUSUNAN PERENCANAAN SISTEM PENGANGKUTAN SAMPAH TERPADU DI DESA PAMPANGAN KABUPATEN OGAN KOMERING ILIR Eka Susanti; Indrawati; Oki Dwipurwani; Endro Setyo Cahyono; Robinson Sitepu
Diseminasi: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2023)
Publisher : Pusat Pengabdian kepada Masyarakat- LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/diseminasiabdimas.v5i1.2294

Abstract

The service activity for planning an integrated waste transportation system was carried out in Pampangan Village, Pampangan District, Ogan Komering Ilir, South Sumatra. The unavailability of integrated waste transportation facilities in Pampangan is the rationale for community service activities. The purpose of the activity is to provide assistance in preparing a plan for an integrated waste transportation system in Pampangan. The planning made is related to the facilities for transporting waste and the location of the TPA (final disposal site). Based on the results of the waste sample, the estimated amount of waste generated every day is 1000 kg. Using goal programming and linear programming, a wooden cart with a maximum capacity of 15 kg and 25 kg can transport waste 6 times and 26 times, respectively. Based on the calculation of total transportation, a waste transportation vehicle with a capacity greater than the currently available means of transportation is required.
Penggunaan Metode Double Exponential Smoothing pada Peramalan Kasus COVID-19 di Provinsi Sumatera Selatan Nadya Amalia Yulianti; Dian Cahyawati; Eka Susanti
Statistika Vol. 23 No. 1 (2023): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v23i1.2108

Abstract

ABSTRAK Metode Double Exponential Smoothing Tipe Holt dapat digunakan pada data yang mengalami trend. Metode ini menggunakan dua parameter yaitu parameter nilai pemulusan eksponensial dan parameter pemulusan nilai trend. Data COVID-19 tumbuh secara eksponensial dan memiliki model penyebaran mengikuti Double Exponential Smoothing. Tujuan dari penelitian ini adalah untuk memperoleh model peramalan dan hasil peramalan dari kasus data COVID-19. Penelitian ini menggunakan kasus data COVID-19 pada periode 1 Januari 2021 – 28 Februari 2022 yaitu sebanyak 424 hari. Hasil penelitian ini memperoleh model peramalan untuk lima kategori kasus COVID-19 yaitu Kontak Erat Discarded, Kasus Asimptomatik, Kasus Simptomatik, Konfirmasi Meninggal, dan Konfirmasi Sembuh. Kelima model peramalan tersebut dapat digunakan untuk menentukan jumlah kasus data COVID-19 untuk hari ke-425 dan seterusnya. Ukuran kesalahan peramalan model ditentukan berdasarkan nilai MAPE (Mean Absolute Percentage Error) dengan nilai yang diperoleh untuk semua kategori kasus COVID-19 menunjukkan bahwa semua model peramalan menghasilkan nilai MAPE dibawah 10%, artinya model peramalan tersebut memiliki kemampuan yang sangat baik untuk melakukan peramalan kasus data COVID-19. ABSTRACT Holt Type Double Exponential Smoothing Method can be used for trending data. This method uses two parameters, the parameters are exponential smoothing value parameter and the trend value smoothing parameter. COVID-19 data grows exponentially and has distribution model follow to Double Exponential Smoothing model. The purpose of this study are to obtain forecasting model and forecasting results from COVID-19 data cases. This study uses COVID-19 data cases on period 01 January 2021 – 28 February 2022, which is 424 days. The result of this research obtained forecasting models for five categories of COVID-19, namely Discarded Close Contacts, Asymptomatic Cases, Symptomatic Cases, Death Confirmation, and Recovered Confirmation. The five forecasting models are used to determine total of COVID-19 data cases on 425th day period onwards. The forecast error size of model is determined based on MAPE (Mean Absolute Percentage Error) value with obtained MAPE values for all categories are lower than 10%, which means that forecasting models has a very good performance for forecasting COVID-19 data cases.
Proyeksi Penduduk Provinsi Sumatera Selatan Dengan Metode Aritmatika dan Geometri Serta Rasio Ketergantungan Ekonomi Indrawati; Evi Yuliza; Eka Susanti; Tia Amelia
Jurnal Matematika dan Aplikasi Vol. 1 No. 2 (2025): Desember-Februari
Publisher : Jurnal Matematika dan Aplikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk memproyeksikan penduduk Provinsi Sumatera Selatan menggunakan metode aritmetika dan metode geometri. Data yang digunakan adalah data penduduk pada tahun 2010 dan 2015. Hasil proyeksi penduduk Provinsi Sumatera Selatan pada tahun 2020 menurut metode aritmetika sebesar 8.722.436 jiwa, sedangkan menurut metode geometri sebesar 9.591.379 jiwa. Berdasarkan perhitungan Mean Absolut Percentage Eror (MAPE), metode terbaik untuk proyeksi populasi Provinsi Sumatera Selatan pada tahun 2030 adalah metode geometri dengan hasil proyeksi sebesar 8.181.701 jiwa. Rasio ketergantungan populasi Provinsi Sumatera Selatan pada tahun 2030 sebesar 53%, artinya 100 orang usia produktif menanggung 53 orang usia non-produktif.
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.
Peramalan Indeks Harga Konsumen (IHK) DKI Jakarta Menggunakan Metode Moving Average dan Pemulusan Eksponensial dengan Optimasi Grid Search Oki Dwipurwani; Sri Indra Maiyanti; Indrawati Indrawati; Eka Susanti
Innovative: Journal Of Social Science Research Vol. 6 No. 1 (2026): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v6i1.21441

Abstract

Abstrak Indeks Harga Konsumen (IHK) merupakan indikator penting dalam mengukur tingkat inflasi dan kestabilan ekonomi suatu wilayah. Ketepatan dalam peramalan IHK sangat dibutuhkan sebagai dasar dalam pengambilan kebijakan ekonomi, khususnya di wilayah strategis seperti DKI Jakarta. Penelitian ini bertujuan untuk membandingkan kinerja metode Rataan Bergerak (Moving Average) dan metode Pemulusan Eksponensial (Exponential Smoothing) dalam meramalkan IHK DKI Jakarta, serta mengoptimalkan parameter model menggunakan pendekatan Grid Search. Evaluasi performa model dilakukan menggunakan indikator Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), dan Mean Square Deviation (MSD). Hasil penelitian menunjukkan bahwa metode Single Exponential Smoothing memberikan hasil peramalan terbaik dengan nilai-nilai indikator terkecil dibandingkan model lainnya. Selain itu, penggunaan Grid Search terbukti efektif dalam menentukan kombinasi parameter yang optimal, sehingga meningkatkan akurasi model. Temuan ini menunjukkan bahwa pendekatan sederhana dengan optimasi parameter yang tepat dapat memberikan hasil peramalan yang andal untuk perencanaan ekonomi. Kata Kunci: Rataan Bergerak, Pemulusan Eksponensial, Grid Search.
Improve of Multiobjective Model on the Classification Problem of Food Consumption Levels in Indonesia Eka Susanti; Novi Rustiana Dewi; Arsi Arsi
KUBIK Vol 10 No 1 (2025): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v10i1.40632

Abstract

Classification is the process of grouping objects based on similarities and differences. In this article, a multi-objective classification model is developed with three objective functions, namely the function that maximizes the values of accuracy, sensitivity and specificity. The developed model is applied to the problem of classifying meat, egg and fish consumption levels. The classification method used is K-Nearest Neighbor (KNN) with three objective functions and the addition of the GridSearchCV module to the KNN calculation. Completion of the multiobjective model using the weighting method and Particle Swam Optimization (PSO). Based on the data, with objective function weights of 1, 2 and 3 respectively being 0.7, 0.15 and 0.15, the results obtained for Rural Areas Meat, Fish and Egg Attributes of the model performance are in good criteria. for Urban Areas Attributes of Meat, Fish and Eggs the model's performance in the criteria is very good. Addition of the GridsearchCV module can facilitate the calculation of the KNN method classification because the model will provide the best k value without having to do repeated calculations.
Co-Authors . Wulandari Agustina Bidarti Andi Tenri Ajeng Nur Angra Aldora ANNISA NABILA Arsi Arsi Bambang Suprihatin Des Alwine Dian Cahyawati Eddy Roflin Endro Setyo Cahyono, Endro Setyo Evi Yuliza, Evi Evy Yuliza Herlina Hanum Husnul Khotimah Indrawati Liani Natasia Muji Gunarto Nadya Amalia Yulianti NEYSA ADIRATNA AGMI MASYITHAH Ning Eliyati Novi Rustiana Dewi Oki Dwipurwani Putri Nilam Cayo Rika Novita Rika Novita RISKA WULANDARI Robinson Sitepu SINTA ELPATRIKA ABELIA Sri Indra Maiyanti Tia Amelia Tiara Bella Octalia