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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Indonesian Physical Review Kappa Journal Bubungan Tinggi: Jurnal Pengabdian Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS
Kertanah Kertanah
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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EDUKASI DAN PENDAMPINGAN PRAKTIKUM FISIKA PADA SISWA SEKOLAH MENENGAH ATAS NEGERI 1 SURALAGA KECAMATAN SURALAGA Sapiruddin Sapiruddin; Bq.Aryani Novianti; Kertanah Kertanah
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 5, No 1 (2021): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v5i1.6286

Abstract

ABSTRAKFisika merupakan salah satu ilmu pengetahuan alam (IPA) yang tidak hanya memahami secara teori, namun dibutuhkan pemahaman secara praktis juga. Praktikum adalah salah satu cara untuk dapat memberikan pemahaman secara praktis kepada siswa. Tujuan kegiatan adalah memberikan edukasi dan pendampingan praktikum kepada siswa untuk meningkatkan pemahaman secara teoritis dan praktis melalui program pengabdian kepada masyarakat (PkM). Kegiatan edukasi dan pendampingan praktikum pada alat ukur fisika menggunakan mistar, jangka sorong, mikrometer sekrup dan multimeter.Siswa memiliki rasa kepuasan dan keterampilan yang tinggi ditunjukkan dengan persentase hasil kuesioner untuk kedua aspek yaitu keterampilan dan kepuasan diatas 50%. Melalui kegiatan edukasi dan pendampingan praktikum dapat meningkatkan keterampilan dan kemampuan siswa khususnya pada  alat ukur fisika. Kata kunci: pendidikan; pendampingan; pengabdian masyarakat; fisika. ABSTRACTPhysics is one of natural sciences which is not only needed to understand theoretically, but it is needed practical comprehension. Lab work is a practical way giving  comprehension to students. The aim of this study is providing education and assistance in lab work to students for increasing their theoretical and practical comprehension through dedication to community (PkM). In this study focuses on measuring tools of physiscs, such as ruler, calipers, screw micrometer, and multimeter. The students have great satisfaction and skill which have been showed with percentage of questionnaire result in the both aspects, more than fifty percents. Through education and assistance have been able to improve the students’ skill and ability, particularly  in physics measuring tools. Keywords: education; assistance; dedication to community; physics. 
Edukasi dan Pendampingan Anak Usia Sekolah Dasar dan Menengah di Tengah Pandemi Covid-19 Laxmi Zahara; Kertanah Kertanah; Khaerus Syahidi; Baiq Aryani Novianti; Fartina Fartina
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 4, No 1 (2022)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v4i1.3172

Abstract

Pandemi COVID-19 sangat berdampak pada kehidupan masyarakat dunia khususnya dalam hal kesehatan dan pendidikan. Kurangnya kesadaran tentang pentingnya kesehatan oleh masyarakat di desa serta kurang optimalnya pembelajaran di sekolah membuat anak–anak usia sekolah dasar dan menengah menghabiskan waktu liburnya dengan banyak bermain tanpa menjaga jarak di masa pandemi. Kegiatan PKM ini bertujuan untuk mengurangi kebebasan berinteraksi dan mengoptimalkan pembelajaran anak usia sekolah dasar dan menengah di tengah masa pandemi dengan mengedukasi serta pendampingan pada masyarakat dusun Ketapang desa Menceh. Peserta pada kegiatan ini adalah peserta didik dari tingkat TK (30 orang), SD (50 orang) dan SMP (75 orang). Edukasi kesehatan dilakukan melalui program Posyandu, cuci tangan dan penyuluhan protokol kesehatan sedangkan pendampingan proses belajar–mengajar dilakukan dengan memberikan bimbingan belajar, mengajar TPQ dan pelatihan seperti pembuatan bros dan menggambar. Edukasi tentang kesehatan memberikan pengetahuan arti pentingnya menjaga jarak, kebersihan khususnya di saat pandemi. Bagaimanapun, kegiatan pendampingan pembelajaran dapat memberikan motivasi pentingnya pendidikan saat ini dan masa yang akan datang. Dengan memberikan edukasi tentang kesehatan dan pendampingan dalam pembelajaran kepada masyarakat bisa memahami tentang menjaga kebersihan, menjaga jarak dan juga dapat dijadikan motivasi untuk terus belajar meskipun terkendala khususnya di era pandemi ini.  COVID-19 influences the life of the population worldwide, especially in health and education aspects. Lack of awareness of the meaning of health and the importance of education makes primary and secondary school ages of children spend their time playing without keeping social distancing in this pandemic era. This community service aims to minimize social interaction and optimize their learning during this pandemic by providing education and accompaniment at Ketapang, Menceh village. Education of health was carried out through Posyandu, hand washing and health education programs, while accompaniment program was done by tutoring, teaching TPQ and skill training like drawing, make a brooch. Educating them about health gave them the knowledge of social distancing and hygiene crucial during the pandemic. However, the Accompaniment of education is also essential to motivate motivation that education is essential today, but it is also for the future. By giving education in health and accompaniment in a lesson, they understood that keeping hygiene and social distancing motivated them to continue learning although constrained, especially for this pandemic situation.
Penerapan Metode Clustering SOM dan DBSCAN dalam Mengelompokkan Unmet Need Keluarga Berencana di Nusa Tenggara Barat Sausan Nisrina; Wiwit Pura Nurmayanti; Basirun; Kertanah; Muhammad Gazali
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 15 No 2 (2022): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/jstat.vol15.no2.a5549

Abstract

Perkembangan big data terus mengalami kemajuan dengan sangat pesat. Untuk memudahkan mengakses data dan informasi dapat menggunakan metode clustering. Clustering merupakan proses pengelompokkan obyek atas kesamaan karakteristiknya. Metode clustering dapat diterapkan pada bidang kesehatan yaitu unmet need Keluarga Berencana (KB). Unmet need dapat diartikan sebagai tidak terpenuhinya kebutuhan akan alat kontrasepsi pada pasangan usia subur. Metode clustering yang digunakan pada penelitian ini yaitu SOMdan DBSCAN. Penelitian bertujuan untuk melihat gambaran unmet need di Provinsi Nusa Tenggara Barat yang kedua adalah menguraikan hasil clustering dengan metode Clustering Self Orgaizing Maps (SOM) dan terakhir untuk menguraikan hasil clustering dengan metode DBSCAN dalam kasus pengelompokkan penyebab unmet need KB di Provinsi NTB. Berdasarkan hasil analisis di dapatkan bahwa Kabupaten Lombok Timur merupakan kabupaten dengan jumlah unmet need KB tertinggi sebanyak 84.72 jiwa, sedangkan terendah di Kota Bima sebesar 4.636 orang. Hasil penelitian dengan metode SOM memiliki 3 cluster, 86 kecamatan cluster 1, 30 kecamatan cluster 2 dan 4 kecamatan cluster 3. Untuk metode DBSCANdengan eps 1.20 dan MinPts 3, jumlah cluster yang terbentuk yaitu 2 cluster, cluster 1 dengan 97 kecamatan dan cluster 2 dengan 4 kecamatan, serta 16 kecamatan yang memiliki data noise.
Prediksi Jumlah Wisatawan Menggunakan Metode Random Forest, Single Exponential Smoothing dan Double Exponential Smoothing di Provinsi NTB Ristu Haiban Hirzi; Umam Hidayaturrohman; Kertanah Kertanah; M. Hadiyan Amaly; Rody Satriawan
Jambura Journal of Probability and Statistics Vol 4, No 1 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v4i1.17088

Abstract

The aim of study is to forecast global tourist visits and compare the forecasting methods to determine the best method using random forest, single exponential smoothing and double exponential smoothing, respectively. These methods are applied in global tourist visit data in West Nusa Tenggara Province. Random forest, single exponential smoothing and double exponential smoothing are familiar methods and are frequently utilized in forecasting. In addition, the three methods have great accuracy for time series data, such as data of global tourist visits. The data used in this study is data of global tourist visits from 2014 to 2021 in West Nusa Tenggara province. Applying the random forest, single exponential smoothing and double exponential smoothing methods in forecasting, the result shows that double exponential smoothing method is the best, based on the smallest value of Mean Absolute Percentage Error (MAPE) of 325.759. The forecasting result found out that tourist visits will increase from previous time, starting from August, 2021 to July, 2021 with an estimated 847 to 1045 lives
Peramalan Jumlah Sampah di Kabupaten Lombok Timur dengan Metode ARIMA dan Dekomposisi Wiwit Pura Nurmayanti; Kertanah Kertanah; Siti Hadijah Hasanah; Abdul Rahim; hendrayani hendrayani
Jambura Journal of Probability and Statistics Vol 4, No 2 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v4i2.19954

Abstract

AbstractForecasting is the science of predicting events that will occur using historical data and projecting them into the future with some form of mathematical model that aims to handle and policy in the future. In forecasting there are several methods, two of which are Autoregeressive Integrated Moving Average (ARIMA) and Decomposition. ARIMA is a method developed by George Box and Gwilym Jenkins in 1970. The Decomposition Method is a method that decomposes (breaks) time series data into several patterns, namely trend, cyclical and seasonal, and identifies each of these components separately. Both of these methods can be applied in various fields, one of which is in the field of environmental health, especially data on the amount of waste. Problems related to the amount of waste in East Lombok are still a concern of the government because as the population increases and the needs of the community each year have the potential to cause waste problems. The final disposal site (TPA) in East Lombok is located in Ijo Balit, this TPA is the only one in East Lombok. The purpose of this research is to see which method is the best between ARIMA and Decomposition, and to see the forecasting results of the amount of waste entering TPA Ijo Balit from the best method. Based on the results of the analysis carried out by the Decomposition model, it gives the best performance in terms of the smallest error value so that it can be used for Forecasting and produces an RMSE value of 5201.694, a MAPE of 0.955827 and a MASE of 0.0129691. The results of forecasting using the Decomposition method are that the highest forecast occurs in December, while the lowest occurs in January with a total of 1,439,439 (tons) and 1,117,000 (tons). Keywords:  Forecasting, ARIMA, Decomposition, Waste
APPLYING K-MEANS ALGORITHM FOR CLUSTERING ANALYSIS EARTHQUAKES DATA IN WEST NUSA TENGGARA PROVINCE Kertanah Kertanah; Irwan Rahadi; Baiq Aryani Novianti; Khaerus Syahidi; Sapiruddin Sapiruddin; Hadian Mandala Putra; Muhammad Gazali; Ristu Haiban Hirzi; Sabar Sabar
Indonesian Physical Review Vol. 5 No. 3 (2022)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v5i3.148

Abstract

This study aims to cluster and visualize the earthquake data on a geographical map to determine earthquakes' characteristics using the k-means algorithm. Cluster analysis using the k-means algorithm was carried out on the earthquake data. K-means algorithm is familiar and is one of the well-known techniques to have been applied in cluster analysis. One of Its advantages in cluster analysis is scaling large datasets, for example, earthquake data. The data used in this study is earthquake data in the West Nusa Tenggara from 1991 to 2021. Applying the proposed k-means algorithm, the optimal number of clusters (k) used in this clustering is 2, based on the highest silhouette score of 0.749. The cluster analysis on the geographical map showed that the epicenters of the earthquakes were pretty spread out before 2018, and the number of earthquakes in the eastern region of West Nusa Tenggara is more than in the western area. However, in 2018, the clusters were all bunched in the northern Lombok region. There were a few earthquakes in the west region in 2018, but they happened before August 5. Even after 2019, most earthquakes continue to occur, with the epicenters clustered close to the northern Lombok region  
Comparison of Algorithms K-Means and DBSCAN for Clustering Student Cognitive Learning Outcomes in Physics Subject Kertanah Kertanah; Wiwit Pura Nurmayanti; Sri Rahmatun Aini; Lalu Muh. Amrullah; Muhammad Sya'roni
Kappa Journal Vol 7 No 2 (2023): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i2.18428

Abstract

Clustering is an activity of grouping data into the same group based on similarity. The purpose of the study is to cluster and determine student cognitive learning outcomes characteristics. Cluster analysis was conducted on student cognitive learning outcomes using algorithms K-Means and DBSCAN. Both algorithms are appropriate to have been applied to the overlapping data such as student learning outcomes data. Also, their advantages are scaling large datasets and outliers. The data used in this study is student cognitive learning outcomes - final and mid-term exams grade X in physics subject. Applying the two proposed algorithms K-Means and DBSCAN, the best cluster algorithm to have been used for clustering analysis is K-Means which is based on the highest silhouette score of 0.43, while the silhouette score of DBSCAN is 0.39 respectively. Using the best cluster, the K-Means algorithm, found two types of clusters – cluster 1 consists of 132 students who have a high average score, and cluster 2 shows 183 students who have a low average score in both final and mid-term exams respectively. From the analysis results, most students still have low cognitive learning outcomes in physics subject.
Co-Authors Abdul Rahim Baiq Aryani Novianti Basirun, Basirun Bq.Aryani Novianti Fartina Fartina Hadian Mandala Putra hendrayani hendrayani Irwan Rahadi Khaerus Syahidi Lalu Muh. Amrullah laxmi zahara M. Hadiyan Amaly Muhammad Gazali Muhammad Gazali Muhammad Sya'roni Ristu Haiban Hirzi, Ristu Rody Satriawan Sabar Sabar Sapiruddin, Sapiruddin Sausan Nisrina Siti Hadijah Hasanah Sri Rahmatun Aini Umam Hidayaturrohman Wiwit Pura Nurmayanti Wiwit Pura Nurmayanti