Article Per Year (5 Year)
p-Index From 2021 - 2026
1.945
P-Index
This Author published in this journals
All Journal Media Statistika Indonesian Journal of Mathematics and Natural Sciences JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Pseudocode GRADIEN AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat MUST: Journal of Mathematics Education, Science and Technology Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS International Journal of Research in Community Services MATHunesa: Jurnal Ilmiah Matematika Jurnal Matematika Integratif Journal of Data Mining and Information Systems Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Journal of Statistics and Data Science
Etis Sunandi
Jurusan Matematika FMIPA Universitas Bengkulu
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 20 Documents
Search

 1   2 
Pemetaan Kemiskinan di Kabupaten Mukomuko Menggunakan Small Area Estimation Dengan Pendekatan Regresi Penalized Spline Idhia Sriliana; Dian Agustina; Etis Sunandi
Jurnal Matematika Integratif Vol 12, No 2: Oktober, 2016
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2089.799 KB) | DOI: 10.24198/jmi.v12.n2.11929.125-133

Abstract

Penelitian ini bertujuan untuk melakukan pemetaan kemiskinan di Kabupaten Mukomuko ProvinsiBengkulu. Metode yang digunakan dalam penelitian ini adalah Small Area Estimation (SAE) denganpendekatan regresi Penalized Spline (P-Spline). Pendugaan parametr model dasar SAE umumnyamembangun suatu model linier campuran yang mengasumsikan bahwa variabel respon dan variabelprediktor mempunyai hubungan linear. Ketika asumsi tersebut tidak terpenuhi, maka dilakukanpendekatan nonparametrik sebagai alternatif pilihan. Salah satunya adalah pendekatan nonparametrikP-Spline. Pada penelitian ini, dilakukan pendugaan parameter model menggunakan P-Spline sehinggadiperoleh suatu persamaan regresi efek campuran sebagai model SAE. Selanjutnya model tersebutdigunakan untuk menduga tingkat kemiskinan pada area yang tersampling., sehingga diperoleh pendugatingkat kemiskinan pada level desa di Kabupaten Mukomuko yang disajikan dalam bentuk petakemiskinan. Hasil penelitian menunjukkan pendugaan menggunakan model SAE dengan P-Splinememiliki trend (kecenderungan) yang sama dengan penduga langsung. Kecamatan yang memiliki tingkatkemiskinan tinggi menyebar di bagian Timur Laut dan Tenggara dari Kabupaten Mukomuko, yaituKecamatan Selagan Raya, Teramang Jaya, Pondok Suguh, dan Air Rami masing-masing memiliki rata-rata kemiskinan yang tinggi. Sedangkan kecamatan dengan tingkat kemiskinan rendah adalahKecamatan Lubuk Pinang.
Pendampingan Mitigasi Bencana Gempa Bumi dan Tsunami Berbasis Pengetahuan Lokal pada Masyarakat Rentan Bencana di Kabupaten Mukomuko Bengkulu Dian Agustina; Etis Sunandi; Sigit Nugroho
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2020): May 2020
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/engagement.v4i1.102

Abstract

The first objective of this activity is to increase knowledge and understanding of the rescue procedures, evacuation routes, and emergency response plans when a large earthquake occurs. The second objective is to increase the knowledge and ability to mobilize available resources. With this knowledge and capability, the community can choose and sort out the resources that must be prioritized, so that losses can be reduced as little as possible. Referring to the results of the study, reducing the impact of earthquake and tsunami disaster risk is greatly influenced by emergency response plan factors, disaster warning system factors, knowledge factors, policy and guidance factors, and the ability of team mobilization. The conclusion obtained from the results of this activity is that the Air Rami Sub-district community gained increased knowledge and understanding of earthquake and tsunami mitigation. This can be seen from the enthusiasm of stakeholders and the public in participating in socialization activities. It is also supported by the Wilcoxon statistical test, the result showed that socialization increases public knowledge in understanding disaster mitigation, especially earthquakes and tsunamis.
BETA-BINOMIAL MODEL IN SMALL AREA ESTIMATION USING HIERARCHICAL LIKELIHOOD APPROACH Etis Sunandi; Khairil Anwar Notodiputro; Indahwati Indahwati; Agus Mohamad Soleh
MEDIA STATISTIKA Vol 16, No 1 (2023): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.16.1.88-99

Abstract

Small Area Estimation is a statistical method used to estimate parameters in sub-populations with small or even no sample sizes. This research aims to evaluate the Beta-Binomial model's performance for estimating small areas at the area level. The estimation method used is Hierarchical Likelihood (HL). The data used are simulation data and empirical data. Simulation studies were used to investigate the proposed model. The estimator's Mean Squared Error of Prediction (MSEP) and Absolute Bias (AB) estimator values determine the best estimation criteria. An empirical study using data on the illiteracy rate at the sub-district level in Bengkulu Province. The results of the simulation study show that, in general, the parameter estimators are nearly unbiased. Proportion prediction has the same tendency as parameters. Finally, the HL estimator has a small MSEP estimator. The results of an empirical study show that the average illiteracy rate in Bengkulu province is quite diverse. Kepahiang District has the highest average illiteracy rate in Bengkulu Province in 2021.
Pelatihan Numerasi di SMP N 07 Kota Bengkulu sebagai Upaya Persiapan Asesmen Kompetensi Minimum Herlin Fransiska; Dyah Setyo Rini; Dian Agustina; Etis Sunandi; Pepi Novianti; Riwi Dyah Pangesti
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 3 No. 1 (2024): Volume 03 Nomor 01 (April 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v3i1.3605

Abstract

Upaya yang dilakukan pemerintah untuk meningkatkan kemampuan numerasi ialah dengan menerapkan tes Asesmen Kompetensi Minimum (AKM). Hasil wawancara terhadap satu orang guru SMP N 07 Kota Bengkulu, menunjukkan sekolah belum mempersiapkan secara khusus dalam menghadapi tes AKM. Berdasarkan hasil wawancara, siswa yang masuk SMP N 07 ialah anak warga sekitar yang yang memiliki keterbatasan kondisi sosial, ekonomi, teknologi dan kemampuan yang kurang. Untuk pembelajaran daring siswa hanya mampu menggunakan whatsapp ataupun SMS, siswa dan guru sebagian besar tidak memiliki laptop serta jaringan internet WIFI sehingga dampak pembelajaran daring sangat dirasakan oleh siswa. Siswa banyak yang belum lancar menerapkan ilmu matematika dalam soal cerita sehingga nilai matematika siswa secara keseluruhan turun saat pembelajaran daring bahkan kemampuan literasi matematika (Numerasi) sangat rendah. Kegiatan pengabdian ini diyakini dapat meningkatkan kemampuan literasi matematika dan mengurangi dampak pembelajaran daring maupun luring sistem shift karena pandemi Covid-19. Kegiatan ini akan membuat siswa menjadi melek literasi numerasi. Agar kegiatan ini menjadi efektif dan efisien maka akan digunakan beberapa rencana kegiatan seperti adanya buku saku/modul, video edukasi, penyelesaian menggunakan software matematika dan kegiatan berbentuk games. Hasil analisis pretest dan postest menggunakan uji-t menyatakan bahwa ada perbedaan yang nyata antara sebelum dan sesudah diberikan pelatihan terhadap siswa SMP N 07 Kota Bengkulu.
Control Chart of T² Hotelling on Quality Control Activities of Crude Palm Oil (CPO) at PT Cipta Graha Garwita, Seluma Regency, Bengkulu Province Pangesti, Riwi Dyah; Alus Ahmad Suhaimi; Etis Sunandi; Istiqomah Rabithah Alam Islami
Journal of Statistics and Data Science Vol. 3 No. 1 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v3i1.36217

Abstract

PT Cipta Graha Garwita (CGG) is a palm oil producer focused on product quality, especially crude palm oil (CPO) for both food and non-food applications. Despite CGG's good reputation, variability in quality characteristics such as Free Fatty Acid (FFA) and moisture can affect the final quality of CPO. This study aims to apply a statistical quality control system to monitor and improve the consistency of CPO quality using T² Hotelling control charts. Statistical quality control methods ensure that products meet standards by reducing variability. One such tool is the T² Hotelling control chart, effective for monitoring multivariate variables using mean vectors and variance-covariance matrices. This study involves steps from data collection, testing multivariate normality assumptions, calculating T² Hotelling control charts, to determining control limits. Testing for multivariate normality assumptions showed the data met normal distribution criteria. The first and second stage T² Hotelling control charts identified several out-of-control observations. These out-of-control observations were excluded, and further analysis showed that after their removal, all data were within statistical control limits. This study recommends further analysis to determine the causes of out-of-control observations using Ishikawa diagrams and process capability evaluation to ensure consistent product quality.
Analisis Perbandingan K-Medoids dan K-Means dalam Pengelompokan Pasien Diabetes Berdasarkan Gaya Hidup dan Kesehatan Samratul Fuadah Legahati; Asyifa Nurul Amalina; Delfi Rosaria Simanjutak; Rezkyan Marta; Etis Sunandi
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 2 (2025): JSI: Jurnal Sistem Informasi (E-Journal)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i2.237

Abstract

Diabetes melitus adalah penyakit kronis yang memerlukan strategi pencegahan dan pengelolaan yang tepat. Penelitian ini membandingkan metode K-Medoids dan K-Means dalam mengelompokkan pasien diabetes berdasarkan pola gaya hidup dan kesehatan untuk menentukan metode yang lebih optimal. Evaluasi menggunakan rasio Sw/Sb menunjukkan bahwa K-Means dengan tiga klaster memberikan hasil terbaik. Klaster 2 mencakup pasien berisiko tinggi mengalami komplikasi akibat BMI, kadar gula darah (HbA1c), dan kolesterol yang tinggi, sehingga disarankan menjaga pola makan, meningkatkan aktivitas fisik, dan rutin memeriksa kesehatan. Klaster 3 lebih rentan terhadap gangguan metabolisme akibat kadar trigliserida dan kolesterol yang rendah, sehingga memerlukan asupan protein dan serat lebih tinggi serta menghindari lemak trans. Klaster 1 berisiko mengalami gangguan ginjal akibat tingginya kadar kreatinin dan urea, sehingga perlu membatasi konsumsi protein berlebihan, menjaga asupan cairan, dan rutin memantau kesehatan ginjal. Temuan ini dapat menjadi dasar perencanaan strategi perawatan yang lebih efektif bagi penderita diabetes
Analisis Perbandingan Metode K-Medoid dan Ward dalam Klasterisasi Nasabah Bank Churners Aditama Rouliber Simanullang; Vivi Elvira Saputri Syah; Della Nur Afni; Resi Popita; Etis Sunandi; Winalia Agwil
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 02 (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.
Analisis Pola Asosiasi Transaksi dengan Algoritma Frequent Pattern Growth pada Dataset Takeaway Food Orders Elya Septi Mulyani; Natasya Apriesti Putri; Elvi Rariska; Etis Sunandi
JDMIS: Journal of Data Mining and Information Systems Vol. 4 No. 2 (2026): August 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v4i2.7390

Abstract

The rapid expansion of the takeaway food industry through digital platforms has generated a vast volume of transaction data. A significant challenge lies in efficiently extracting valuable insights from large databases without overtaxing computational memory. This research proposed the implementation of the Frequent Pattern Growth (FP-Growth) algorithm to map association patterns between food items without the need for iterative candidate itemset generation. The experiment was conducted on the Takeaway Food Orders dataset from an Indian restaurant in London, comprising 13,397 transactions and 74,818 data rows. The methodology involved data pre-processing, FP-Tree construction, and the determination of strong association rules. Results demonstrated that the algorithm effectively identified customer ordering trends. By applying a 3% support threshold and 75% confidence, seven significant association rules were identified, with Plain Papadum serving as the consequent in all rules. These rules indicate that Plain Papadum has a high tendency to be ordered together with Mint Sauce, Onion Chutney, Mango Chutney, Pilau Rice, and Red Sauce. This study concluded that FP-Growth-based data mining provides accurate strategic insights for business owners to optimize promotional bundling and enhance customer loyalty.
Perbandingan Regresi Nonparametrik Spline Truncated dan Kernel Gaussian dalam Pemodelan Penderita Tuberkulosis (TBC) di Indonesia Tahun 2025 Fauziah Syafitri; Reva Amelia; Chesa Nabilla Azzahra; Idhia Sriliana; Etis Sunandi
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 02 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n02.p571-580

Abstract

Tuberkulosis (TBC) masih menjadi masalah kesehatan utama di Indonesia dengan tingkat prevalensi yang bervariasi antar wilayah. Hubungan antara prevalensi TBC dan faktor-faktor yang memengaruhinya cenderung kompleks serta tidak selalu mengikuti pola linier. Penelitian ini membandingkan kinerja regresi nonparametrik Spline Truncated dan Kernel Gaussian dalam memodelkan prevalensi TBC di Indonesia tahun 2025, menggunakan variabel jumlah rumah sakit umum, jumlah kasus HIV/AIDS, persentase akses sanitasi layak, dan persentase akses air minum layak. Pemilihan knot optimal pada Spline Truncated dan bandwith optimal pada Kernel Gaussian dilakukan menggunakan GCV. Pada metode Spline Truncated diperoleh model terbaik dengan satu titik knot optimal pada masing-masing variabel prediktor, nilai MSE sebesar 2,2365 dan sebesar 83,89%. Sementara itu, metode Kernel Gaussian menghasilkan MSE sebesar 8,311203 dan sebesar 40,13%. Berdasarkan perbandingan tersebut, regresi Spline Truncated menunjukkan kinerja yang lebih baik dibandingkan Kernel Gaussian karena memiliki MSE lebih kecil dan lebih tinggi. Temuan ini dapat digunakan sebagai alternatif statistik untuk mendukung kebijakan kesehatan masyarakat di Indonesia.
Improving Interactive Data Visualization Skills Of High School Students At SMAIT Iqra In Bengkulu City Using R-Studio Etis Sunandi; Winalia Agwil; Sigit Nugroho; Nurul Hidayati; Fachri Faisal; Alya Saputri; Abdul Rahim Redha; Fauziah Syafitri
International Journal of Research in Community Services Vol. 7 No. 3 (2026): International Journal of Research in Community Service (IJRCS)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v7i3.1350

Abstract

SMA IT Iqra Kota Bengkulu has 706 students divided into 21 study groups. The school's vision is “To create an Islamic generation that is accomplished, skilled, independent, and globally minded.” To achieve this vision, SMA IT Iqra Kota Bengkulu has formulated several missions, one of which is “Equipping students with various life skills to become independent individuals who are ready to face global challenges.” Based on the needs of SMA IT Iqra in realizing its mission, the statistics study program of the Faculty of Mathematics and Natural Sciences, Bengkulu University, together with the “Statistics Corner,” has resources (lecturers, students) who can provide training in visualization and website-based technology development. Therefore, the study program team designed a training activity entitled “Interactive Data Visualization using R-Studio Software.” The method used in this community service activity was classroom education. The training method consisted of several stages, namely preparation, implementation, and evaluation. In general, the training activity went well. Participants showed high enthusiasm for this training activity. This was demonstrated by the good interaction between the PkM team and the participants. Participants asked various questions related to data and visualization graphics. Participants were also very enthusiastic in answering questions posed by the PkM team. n addition, based on the paired T test, it can be concluded that interactive data visualization training using RStudio and RShiny has benefits in improving the abilities of Bengkulu City IT Iqra High School students.
Co-Authors Abdul Rahim Redha Aditama Rouliber Simanullang Agus Mohamad Soleh Alus Ahmad Suhaimi Alya Saputri Andang Wijanarko Asyifa Nurul Amalina Bagus Sartono Baki Swita Chesa Nabilla Azzahra Delfi Rosaria Simanjutak Della Nur Afni Dian Agustina Dian Agustina Dian Agustina Dian Agustina Dian Agustina Dyah Setyo Rini Elvi Rariska Elya Septi Mulyani Endina Putri Purwandari Fachri Faisal Fauziah Syafitri Fauziah Syafitri Herlin Fransiska Idhia Sriliana Indahwati Istiqomah Rabithah Alam Islami Jose Rizal Khairil Anwar Notodiputro Natasya Apriesti Putri Nurul Hidayati Pangesti, Riwi Dyah Pepi Novianti Rafflesia, U Resi Popita Reva Amelia Rezkyan Marta Riwi Dyah Pangesti Samratul Fuadah Legahati Sigit Nugroho Siska Yosmar Syahrul Akbar Vivi Elvira Saputri Syah Winalia Agwil Winalia Agwil Yudi Setiawan