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ANALISIS CLUSTER MENGGUNAKAN ALGORITMA K-MEANS UNTUK CLUSTERING HASIL SELEKSI PENERIMAAN SANTRI BARU DI PONDOK PESANTREN SA’ADATUL IKHWAN NAHDLATUL WATHAN RENSING, KECAMATAN SAKRA BARAT, KABUPATEN LOMBOK TIMUR Lalu Ahmad Sya'roniy Zain; Lalu Muhammad Ridwan; Dara Puspita Anggraeni
EVOLUSI: JOURNAL OF MATHEMATICS AND SCIENCES Vol 6 No 2 (2022): Oktober 2022
Publisher : Fakultas MIPA Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/evolusi.v6i2.1303

Abstract

Indonesia merupakan negara dengan mayoritas penduduk muslim terbesar di dunia. Sekitar 87% penduduk Indonesia beragama Islam dan banyak juga lembaga pendidikan formal dan non-formal yang mengajarkan Pendidikan Agama Islam yakni pondok pesantren. Pondok pesantren adalah lembaga keagamaan yang memberikan pendidikan dan pengajaran serta mengembangkan dan menyebarkan agama Islam. Salah satunya di wilayah Nusa Tenggara Barat, yakni Desa Rensing, Kecamatan Sakra Barat, Kabupaten Lombok Timur, yaitu Pondok Pesantren Sa’adatul Ikhwan Nahdlatul Wathan Rensing. Pondok pesantren ini menyelenggarakan kegiatan belajar mengajar Islami yang dimulai dari penerimaan santri baru, proses seleksi, penentuan kelas belajar, hingga terlaksananya kegiatan belajar mengajar. Dalam proses tersebut, dilakukan seleksi membaca Al Qur’an dengan beberapa penilaian untuk menentukan kelas belajar yang sesuai dengan keadaan santri yaitu nilai kefasihan melafalkan huruf hijaiyah, nilai ketepatan mengamalkan tajwid, nilai keindahan dalam irama, dan nilai adab. Penentuan kelas tersebut dapat dilakukan dengan menerapkan salah satu metode statistika yaitu analisis cluster yang merupakan metode pengelompokan data berdasarkan kesamaan ciri yang dimilikinya dengan tujuan untuk meringkas, menyederhanakan, dan menjelaskan data. Dalam penelitian ini, algoritma yang digunakan adalah K-Means dengan data yang digunakan berupa nilai hasil seleksi 150 santri baru dan variabel yang digunakan adalah indikator penilaian dalam proses seleksi tersebut. Dari clustering yang dilakukan, diperoleh 3 cluster dengan cluster 1 sebanyak 74 santri, cluster 2 sebanyak 50 santri, dan cluster 3 sebanyak 26 santri. Kata kunci: Analisis Cluster, K-Means.
Pelatihan Peramalan Target Indikator Kinerja Daerah Dara Puspita Anggraeni; Alfian Eka Utama; Rio Satriyantara; Irma Risvana Dewi
Rengganis Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2023): Mei 2023
Publisher : Pendidikan Matematika, FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/rengganis.v3i1.297

Abstract

The purpose of this community service in the form of training is to improve the ability of functional planner staff in forecasting indicator targets of regional performance. This training is the continuation of (i) the training of using parametric statistic to increase the motivation of North Lombok Regency Bappeda's functional planner staff in research and scientific publications and (ii) the training of data processing using minitab for functional planner staff. This training was held on December 9, 2022, in BAPPEDA office in North Lombok Regency. The training participants were 6 functional planner staff. The method used in this training is providing a pre test, material deliverying, followed by practical forecasting of one of the regional performance indicators and ended with a post test. The material contains the definition of forecasting and several forecasting methods suitable for limited time series data including the Moving Average (MA) method, Simple Exponential Smoothing (SES) and the Naïve method, while the post test included the questions about the material given and the practice, also asked for suggestions, criticisms and themes for the further training. The effectiveness of the training will be tested with Wilcoxon Match Pairs test. The results of this training is the participants felt very helpful and proposed several themes for the next training. The results of the Wilcoxon Match Pairs test show that is greater than , meaning that the average post-test score is significantly higher than the average pre-test value or, in other words, community service in the form of training has an effect on the forecasting abilities of functional planner staff at North Lombok Regency's BAPPEDAThe purpose of this community service in the form of training is to improve the ability of functional planner staff in forecasting indicator targets of regional performance. This training is the continuation of (i) the training of using parametric statistic to increase the motivation of North Lombok Regency Bappeda's functional planner staff in research and scientific publications and (ii) the training of data processing using minitab for functional planner staff. This training was held on December 9, 2022, in BAPPEDA office in North Lombok Regency. The training participants were 6 functional planner staff. The method used in this training is providing a pre test, material deliverying, followed by practical forecasting of one of the regional performance indicators and ended with a post test. The material contains the definition of forecasting and several forecasting methods suitable for limited time series data including the Moving Average (MA) method, Simple Exponential Smoothing (SES) and the Naïve method, while the post test included the questions about the material given and the practice, also asked for suggestions, criticisms and themes for the further training. The effectiveness of the training will be tested with Wilcoxon Match Pairs test. The results of this training is the participants felt very helpful and proposed several themes for the next training. The results of the Wilcoxon Match Pairs test show that is greater than , meaning that the average post-test score is significantly higher than the average pre-test value or, in other words, community service in the form of training has an effect on the forecasting abilities of functional planner staff at North Lombok Regency's BAPPEDA
Model Graf Kompatibel di Persimpangan Islamic Center (IC) Mataram Lombok Bulqis Nebulla Syechah; Dessy Zahwa Hairunnisa; Mifta Fadila; Dara Puspita Anggraeni
EVOLUSI: JOURNAL OF MATHEMATICS AND SCIENCES Vol 7 No 1 (2023): April 2023
Publisher : Fakultas MIPA Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/evolusi.v7i1.1571

Abstract

The purposes of this study were to determine the form of compatible graph from the flow of traffic model’s result at the junction, to calculate the optimal total waiting time at the intersection using compatible graph, and to determine the result calculation of the optimal total of waiting time based on the compatible graph on the settings that have been applied. The results of this study were obtained in the form of the compatible graph from the flow of traffics model’s result at Langko-Airlangga-Udayana-Pejanggik crooroad in Mataram, and the optimal total of waiting time at Langko-Airlangga-Udayana-Pejanggik four-junction which was obtained in the field was 291 seconds, while using compatible graph was 100 seconds. The result calculation of the optimal total of waiting time based on the compatible graph was more optimal (minimal) than based on the settings that have been applied.
TRAINING USE OF PARAMETRIC STATISTICS TO INCREASE MOTIVATION OF FUNCTIONAL EMPLOYEES PLANNING BAPPEDA KLU IN SCIENTIFIC RESEARCH AND PUBLICATION Dara Puspita Anggraeni
Alamtana: Jurnal Pengabdian Masyarakat UNW Mataram Vol 2 No 3 (2021): Edisi Desember 2021
Publisher : LPPM UNIVERSITAS NAHDLATUL WATHAN MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jaltn.v2i3.800

Abstract

This devotion in the form of training aims to increase the motivation of planning functional employees in conducting research and writing scientific articles. The method used is the presentation of parametric statistics followed by completing the case examples using Microsoft Excel, reading and interpreting the output and data processing practices by each participant and ending with filling out questionnaires by the training participants. This training was successful in 83.33% of participants and not successful for 16.67% of participants. The main difficulty for participants in conducting data processing prior to the training was a lack of understanding of the basics of statistical science. (66.67%) followed by the selection of software that was not appropriate (33.33%).
Pelatihan Bekam (Al Hijamah) Sebagai Upaya Mewujudkan Kampung Sehat Pada Masa Pandemi Covid-19 di Desa Perengge Kabupaten Lombok Barat Baiq Naili Dewi Atika; Dwi Kartika Risfianty; Irna Il Sanuriza; Khaerul Ihwan; Dara Puspita Anggraeni
Jurnal Pengabdian UNDIKMA Vol. 3 No. 2 (2022): August
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v3i2.5489

Abstract

This community service activity aims to increase people's knowledge of how to do cupping properly and correctly, to create a healthy village during the pandemic, and as an effort to prevent the transmission of COVID-19 by promoting and preventive health measures. The method of implementing this service activity is by combining theories (discussion) 25% and practice 75%, as well as entrepreneurial provisions. There were 25 participants in the training. The evaluation instruments used were interviews, observation, and documentation. After all series of activities were carried out, the results of the service activity showed that the majority of participants had mastered the pre-cupping, cupping, and post-cupping procedures following the rules and procedures for the safety of the medical world.