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All Journal Jurnal Sains Matematika dan Statistika AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Matematika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi International Journal of Research in Community Services MATHunesa: Jurnal Ilmiah Matematika Journal of Data Mining and Information Systems JAR'S (Journal of Advanced Research in Informatics) Journal of Statistics and Data Science Limits: Journal of Mathematics and Its Applications
Sunandi, Etis
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Social Sciences Other

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Enhancing Data Visualization Competencies Through Power BI Training Agwil, Winalia; Sunandi, Etis; Rizal, Jose; Faisal, Fachri; Nugroho, Sigit; Syahada, Sri; Hermalia, Hermalia
International Journal of Research in Community Services Vol 6, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.901

Abstract

Vocational High School (SMK) aims to prepare students with the skills and knowledge required to meet industry demands. Recognizing the importance of data analysis and visualization in the workforce, this community service focuses on enhancing these competencies among SMKN 04 Kota Bengkulu students, particularly those in the Software Engineering program. A community service program was conducted to train students in utilizing Power BI for real-time and interactive data visualization. The training program included preparatory surveys, module development, and practical workshops. Students actively participated, demonstrating a greater interest and understanding of data visualization concepts. Evaluation results showed that 89% of participants found the training beneficial, and 84% mastered Power BI’s visualization techniques. The outcomes highlight the program's effectiveness in equipping students with industry-relevant skills, emphasizing the need for similar initiatives targeting broader student groups. This project bridges the gap between vocational education and the digital economy's demands.
Studi Komparatif Model ARIMA, ANN, dan Hybrid ARIMA-ANN untuk Peramalan Laju Inflasi di Indonesia Rizal, Jose; Dzakirah, Qanitahudz; Sunandi, Etis
Jurnal Ilmiah Matematika Vol. 12 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jim.v12i1.30366

Abstract

Model ARIMA merupakan metode populer dalam peramalan data deret waktu. Namun demikian, model ini memiliki keterbatasan dalam mengenali pola nonlinier yang dapat menyebabkan peningkatan kesalahan peramalan. Sebagai solusinya, Artificial Neural Network (ANN) yang mampu memotret pola nonlinier dapat diaplikasikan. Untuk menggabungkan keunggulan dari kedua model, dikembangkan metode Hybrid ARIMA-ANN. Penelitian ini membandingkan performa model ARIMA, ANN, dan Hybrid ARIMA-ANN pada kajian peramalan laju inflasi di Indonesia. Hasil penelitian menunjukkan bahwa pada data training, model Hybrid ARIMA-ANN memberikan performa terbaik dengan nilai MAPE sebesar 18,73% dan MASE sebesar 1,86. Pada data testing, model Hybrid menunjukkan peningkatan akurasi dengan nilai MAPE sebesar 17,95% dan MASE sebesar 1,16. Hasil ini mendukung penerapan metode Hybrid ARIMA-ANN sebagai pendekatan yang lebih andal dan efektif untuk peramalan deret waktu yang memuat pola linier dan nonlinier secara bersamaan.
Analysis of Factors Influencing Young Voters in the 2024 Bengkulu Province Regional Head Election: A Quantitative Study Using Chi-Square and Fisher Exact Test Approaches Sonia, Gita; Wanti, Novelisa Syendra; Damayanti, Putri; M. Zidan Mezilano Y; Sunandi, Etis
Journal of Statistics and Data Science Vol. 3 No. 2 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v3i2.41286

Abstract

Political participation of young voters has a strategic role in local democracy. This research aims to analyze the factors inhibiting young voters' participation in the 2024 Bengkulu regional election using Chi-Square analysis. This descriptive-analytic quantitative research involved 124 respondents aged 17-29 in the 2024 Bengkulu regional election, analyzing four variables: political knowledge, psychological factors, social environment, and technical constraints. Using the Fisher Exact test, the results showed no significant relationship between the variables and the voting decision. Interestingly, the participation rate of young voters is quite high, indicating the complexity of the dynamics of political participation of the younger generation. The research findings provide a new perspective on the dynamics of young voters' political participation, providing a foundation for the development of strategies to increase young people's political engagement in future elections.
Strategi Pemasaran Berbasis Data Analisis Pola Pembelian Konsumen Online dengan Algoritma Apriori Azizy, Nala Kamila; Fhaeza, Veronnica Noer; Hafiz, Muhammad; Sunandi, Etis
Journal of Advanced Research in Informatics Vol 3 No 2 (2025): Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v3i2.4320

Abstract

Di era digital saat ini, strategi pemasaran berbasis data menjadi elemen kunci dalam meningkatkan efektivitas dan efisiensi pemasaran. Penelitian ini bertujuan untuk menganalisis penerapan algoritma Apriori dalam menentukan pola pembelian konsumen berdasarkan data transaksi penjualan online. Penerapan metode data mining digunakan untuk mengolah dataset transaksi online retail untuk mengidentifikasi aturan asosiasi antar produk yang sering dibeli bersama. Hasil penelitian menunjukkan bahwa algoritma Apriori dapat secara efektif mengidentifikasi kombinasi produk dengan tingkat dukungan dan kepercayaan diri yang tinggi. Aturan asosiasi yang didperoleh dapat dimanfaatkan dalam strategi pemasaran seperti rekomendasi paket (bundling), diskon, dan optimalisasi pemasaran. Dengan demikian, pemanfaatan algoritma Apriori dalam analisis data ritel online dapat meningkatkan efektivitas pemasaran dan mendorong pertumbuhan bisnis yang lebih berkelanjutan.
Pendekatan Data Mining dalam Optimalisasi Margin Penjualan Adidas: Studi Klasterisasi dengan K-Means dan Fuzzy C-Means Firlian, Lutfiah; Fadila, Risfa; Ridho, Muhammad Kevyn; Sunandi, Etis; Aflah, Ukasyah
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 2 August 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i2.32417

Abstract

Adidas is trying to stay competitive, especially when it comes to selling in the U.S. market. This study aims to cluster Adidas sales data in the US by comparing K-Means and Fuzzy C-Means clustering methods to achieve effective market segmentation. Data management is performed by first standardizing the data from the variables of units sold, total sales, operating profit, and profit margin. Cluster analysis is performed by determining the optimal cluster with the elbow plot, and the most optimal result is four clusters. Cluster performance evaluation was performed by comparing the Davies-Bouldin Index (DBI), Sum of Squares Within (SSW), and Sum of Squares Between (SSB) values of each method. The analysis results show that K-Means has a DBI of 0.98 and an SSW of 8645.74, while Fuzzy C-Means has a DBI of 0.983 and an SSW of 8678.49. Based on these results, K-Means is considered more optimal because it produces clusters that are more compact and separated. This finding can be the basis for developing a more targeted and efficient sales strategy according to the characteristics of each market segment.
Enhancing Data Visualization Competencies Through Power BI Training Agwil, Winalia; Sunandi, Etis; Rizal, Jose; Faisal, Fachri; Nugroho, Sigit; Syahada, Sri; Hermalia, Hermalia
International Journal of Research in Community Services Vol. 6 No. 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.901

Abstract

Vocational High School (SMK) aims to prepare students with the skills and knowledge required to meet industry demands. Recognizing the importance of data analysis and visualization in the workforce, this community service focuses on enhancing these competencies among SMKN 04 Kota Bengkulu students, particularly those in the Software Engineering program. A community service program was conducted to train students in utilizing Power BI for real-time and interactive data visualization. The training program included preparatory surveys, module development, and practical workshops. Students actively participated, demonstrating a greater interest and understanding of data visualization concepts. Evaluation results showed that 89% of participants found the training beneficial, and 84% mastered Power BI’s visualization techniques. The outcomes highlight the program's effectiveness in equipping students with industry-relevant skills, emphasizing the need for similar initiatives targeting broader student groups. This project bridges the gap between vocational education and the digital economy's demands.
Analisis Asosiasi Jenis Kredit Rumah Tangga dengan Jenis Pekerjaan Utama di Provinsi Bengkulu Fairuzindah, Athaya; Marta, Rezkyan; Anjani, Retno Tri; Faeza, Veronnica Noer; Sunandi, Etis; Novianti, Pepi
Jurnal Sains Matematika dan Statistika Vol 11, No 2 (2025): JSMS Juli 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i2.32966

Abstract

Kredit rumah tangga di Provinsi Bengkulu berperan penting dalam mendukung kesejahteraan masyarakat, terutama dalam memenuhi kebutuhan dasar seperti perumahan, pendidikan, dan barang konsumsi. Namun tidak semua jenis pekerjaan utama memiliki kemampuan yang sama dalam memenuhi syarat pengajuan kredit. Dengan  permasalahan   tersebut  penelitian   ini   bertujuan  melihat  asosiasi jenis pekerjaan dan jenis kredit rumah tangga dengan menggunakan metode log linear 2 dimensi. Berdasarkan hasil pengujian asosiasi didapatkan hasil berupa terdapat asosiasi antara jenis pekerjaan dan kredit. Setelah melakukan pengujian dilakukan pemilihan model terbaik dengan menggunakan pengujian Goodness of fit (uji G). Berdasarkan hasil pengujian Goodness of fit (uji G) bahwa model dengan interaksi lebih baik dibandingkan model tanpa interaksi.
Pendampingan Perangkat Desa untuk Pelatihan Pembuatan Infografis Data Kependudukan Desa Sunandi, Etis; Agustina, Dian; Fransiska, Herlin
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 2 (2021): Mei
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v5i2.3726

Abstract

Keterbukaan informasi merupakan hal yang sangat penting di era digital saat ini. Pengabdian kepada masyarakat yang dilakukan bertujuan untuk peningkatan skill perangkat desa sehingga mampu memberikan informasi yang valid, informatif dan terperinci tentang kependudukan desa. Informasi data desa yang tersaji secara menarik, informatif dan  terperinci akan menjelaskan kondisi desa kepada seluruh masyarakat desa dan umum. Lokasi pendampingan ialah Desa Pekik Nyaring Kecamatan Pondok Kelapa, Kabupaten Bengkulu Tengah. Desa ini termasuk kedalam daerah pemekaran menjadi kabupaten baru sehingga keterbukaan data penduduk sangat penting. Pelatihan pembuatan publikasi data desa dilakukan dalam tiga tahap yaitu sosialisasi, pelatihan, publikasi hasil pelatihan. Sosialisasi yang disambut baik oleh kepala desa dan perangkatnya menjadikan pelatihan dapat dilaksanakan dengan baik. Data kependudkan desa yang dianalisis secara statistik deskriptif menggunakan Ms.Excel dengan pivot table, chart, data validation, dan fungsi statistika yang telah tersedia.  Selanjutnya hasil analisis deskriptif di analisis dan di desain menjadi menarik dan dipublikasikan. Hasil publikasi dapat menjelaskan semua informasi kependudukan desa seperti jumlah penduduk, pekerjaan, agama, tingkat pendidikan, demografi desa, kepala keluarga dan jumlah penduduk. Pendampingan yang mendapat respon positif dengan ditunjukkannya adanya publikasi data desa pertama kali yang berbentuk infografis desa yang dapat diperoleh di tempat umum.Kata Kunci: data kependudukan; infografis; pendampingan. Assistance of Village Apparatus for Training on Making Village Population Data Infographics ABSTRACTInformation disclosure is very important in the digital era. Community service aims to improve the skills of village officials so that they are able to provide valid, informative and detailed information on village population. The village data information presented in an interesting, informative and detailed manner will explain the condition of the village to all village communities and the general public. The location of the assistance was Pekik Nyaring Village, Pondok Kelapa District, Bengkulu Tengah Regency. This village is a region that has become a new regency so open disclosure of population data is very important. The training on making village data publications was carried out in three stages: socialization, training, publication. The socialization was welcomed by the village head and his apparatus. Village population data were analyzed using descriptive statistics using Ms. Excel with pivot tables, charts, validation data, and statistical functions that were available. Furthermore, the results of descriptive analysis are analyzed and designed to be interesting and published. The results of the publication can explain all village population information such as population, occupation, religion, education level, village demographics, family heads and population. Assistance that received a positive response by showing the existence of the first village data publication in the form of village infographics that can be obtained in public places.Keywords: population data; infographic; accompaniment.
Analisis Perbandingan Metode K-Medoid dan Ward dalam Klasterisasi Nasabah Bank Churners Simanullang, Aditama Rouliber; Syah, Vivi Elvira Saputri; Afni, Della Nur; Popita, Resi; Sunandi, Etis; Agwil, Winalia
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

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

Abstract

This study compares the K-Medoid and Ward clustering methods in segmenting bank churner customers. The dataset used is the Bank Churners dataset, consisting of 5.000 observations and six variables related to credit card usage. The results show that the Ward method has a higher silhouette coefficient compared to K-Medoid, making it more effective in forming homogeneous clusters. Ward clustering produces four distinct customer segments, which can help banks develop targeted retention strategies. Based on the analysis, promotional strategies and personalized services are recommended to reduce customer churn according to each cluster’s characteristics.
IMPLEMENTASI PROGRAM PENGEMBANGAN MASYARAKAT PT TRISENSA MINERAL UTAMA MELALUI PELATIHAN BUDIDAYA DAN PENGGEMUKAN SAPI POTONG SERTA PEMBUATAN PAKAN SILASE DI DESA TANI BHAKTI KECAMATAN LOA JANAN Ayu Lestari, Wina; Sunandi, Etis; Agwil, Winalia; Hidayati, Nurul; Firdaus, Firdaus; Fairuzinda, Athaya; Pandu Winata, Aji; Yulian Utami, Rahmi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 8 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i8.%p

Abstract

PT Trisensa Mineral Utama adalah perusahaan minerba yang beroperasi di sekitar Desa Batuah dan Tani Harapan, Kecamatan Loa Janan, Kabupaten Kutai kartanegara, Kalimantan Timur yang mempunyai tanggung jawab sosial dan lingkungan sesuai Undang-Undang Nomor 74 Tahun 2007 tentang Perseroan Terbatas yang mengaharuskan perusahaan perseroan terbatas untuk membina masyarakat sekitar agar dapat meningkatkan taraf kehidupannya dalam bentuk Corporate Social Responsbility (CSR). Oleh karena itu, Pengembangan Masyarakat adalah salah satu pendekatan yang dipilih dalam implementasi Corporal Social Responsibility (CSR). Kegiatan implementasi perusahaan dalam program Pengembangan Masyarakat yaitu pelatihan budidaya dan penggemukan sapi potong serta pembuatan pakan silase yang dilaksanakan pada tanggal 14 November 2024 di Desa Tani Bhakti dan di hadiri oleh kelompok tani Desa Batuah. Kegiatan ini bertujuan untuk memberikan pengetahuan mengenai budidaya dan penggemukan sapi serta memberikan pengetahuan mengenai bagaimana cara membuat pakan silase yang baik. Metode yang dilakukan dalam pelatihan ini yaitu dengan metode ceramah dan praktek langsung. Hasil dari kegiatan pelatihan ini yaitu antusiasnya para kelompok tani dalam mengikuti kegiatan pelatihan. Hal tersebut di lihat dari banyaknya peserta yang memberikan pertanyaan, dan pengalaman selama kegiatan penyampaian materi dan praktek langsung di laksanakan.
Co-Authors Aflah, Ukasyah Afni, Della Nur Agwil, Winalia Andini, Agita Anggraini, Silvia Anjani, Retno Tri Ayu Lestari, Wina Azizy, Nala Kamila Damayanti, Putri Dian Agustina Dzakirah, Qanitahudz Fachri Faisal Fadila, Risfa Faeza, Veronnica Noer Fairuzinda, Athaya Fairuzindah, Athaya Fhaeza, Veronnica Noer Firdaus Firdaus Firlian, Lutfiah Herlin Fransiska Hermalia, Hermalia Idhia Sriliana Islami, Istiqomah Rabithah Alam Jose Rizal M. Zidan Mezilano Y Marta, Rezkyan Muhammad Hafiz Nurul Hidayati Pandu Winata, Aji Pepi Novianti Popita, Resi Rexa, Nafa Ridho, Muhammad Kevyn Sigit Nugroho Simanullang, Aditama Rouliber Sonia, Gita Syah, Vivi Elvira Saputri Syahada, Sri Wanti, Novelisa Syendra Yulian Utami, Rahmi