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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika EDUMATIC: Jurnal Pendidikan Informatika Indonesian Physical Review Kappa Journal Bubungan Tinggi: Jurnal Pengabdian Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Jurnal Statistika dan Komputasi (STATKOM)
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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 : Faculty of Science and Technology, 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
Modeling of Gross Domestic Product Growth in Indonesia by Using Multi-Input Intervention Model Chandrawati, Chandrawati; Kertanah, Kertanah; Ramli, Tri Juliantin; Chintyana, Alissa; Hirzi, Ristu Haiban
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.27949

Abstract

The Gross Domestic Product (GDP) Growth of Indonesia has fluctuated over time due to established policies, economic crises, changes in political direction, and natural disasters. In 1998, due to the fall of the New Order regime, the Indonesian economy contracted by -13.13 percent, leading to hyperinflation. In 2020 the COVID-19 pandemic occurred which caused Indonesia's GDP Growth to contract again. Accurate forecasting of GDP Growth is crucial for government to formulate effective future policy strategies to maintain the stability of Indonesia's economy. There are several outliers in Indonesia's GDP Growth data, so the proper analysis is a multi-input intervention. The best model analysis is ARIMA (1,0,0) with non-zero mean using the first order intervention b=0, r=0, s=0 and the second order intervention b=0, r=0, and s=0 which resulted in a Mean Absolute Percentage Error (MAPE) of 23.47 percent. The outlier effect on Indonesia's GDP Growth data is both direct and temporary.
Pemetaan Kasus DBD di Pulau Lombok menggunakan Regresi Binomial Negatif berbasis Geografis Ayundasari, Dita Septiana; Hastuti, Siti Hariati; Kertanah, Kertanah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.27460

Abstract

According to the Indonesia Health Profile Report 2022, NTB Province is among the 11 provinces with the highest incidence rate of dengue hemorrhagic fever (DHF). On Lombok Island, there were 2,074 cases with 4 deaths in 2022. DHF remains a serious threat in Lombok, so this study aims to map sub-districts based on significant factors for the spread of DHF in 54 sub-districts throughout Lombok Island. This study used quantitative analysis with one response variable, the number of DHF cases, and three predictor variables: the ratio of medical personnel (nurses) (X1), the percentage of proper sanitation facilities (healthy latrines) (X2) and the percentage of standard drinking water facilities (X3) in 54 sub-districts. Data were obtained from the Health Office throughout Lombok Island. Analysis techniques include descriptive analysis, GWNBR modeling, and significant variable mapping. The mapping results showed six groups of sub-districts with a combination of significant variables, which included variables X1, X2, and X3. The findings suggest the need for additional studies or prevention policies that are more focused on hygiene to reduce the risk of DHF spread. Related parties also need to be informed to take strategic steps based on these findings.
Penerapan Algoritma Self Organizing Maps (SOM) Dan K-Means Untuk Mengelompokkan Akseptor KB Di NTB Yahya, Lalu Muhammad; Kertanah, Kertanah; Hidayaturrohman, Umam
Jurnal Statistika dan Komputasi Vol. 3 No. 1 (2024): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v3i1.2960

Abstract

Latar Belakang: Salah satu permasalahan utama terkait penggunaan KB yaitu berhubungan dengan ketersediaan layanan kesehatan, sehingga untuk memberikan akses yang lebih baik kepada masyarakat terhadap informasi dan layanan dapat dilakuakn analsis clustering yang membantu mengidentifikasi wilayah-wilayah di NTB yang memiliki akses terbatas terhadap layanan kesehatan reproduksi. Tujuan: Tujuan penelitian ini, pertama adalah untuk mengetahui gambaran umum akseptor keluarga berencana seluruh kecamatan di NTB. Kedua adalah untuk mengetahui hasil cluster akseptor keluarga berencana di kecamatan seluruh NTB 2022 dengan algoritma SOM dan K-means serta mengetahui algoritma terbaik pada data akseptor keluarga berencana di kecamatan seluruh NTB ditinjau dari nilai validasi internal. Metode: Algoritma clustering yang digunakan pada penelitian ini yaitu SOM dan K-means. Hasil: Berdasarkan hasil analisis didapatkan bahwa suntik merupakan akseptor tertinggi di NTB sebanyak 299.344. Sedangkan akseptor terendah adalah kondom sebanyak 7.333. Hasil penelitian dengan algoritma SOM memiliki 2 cluster yaitu cluster 1 terdapat 103 kecamatan dan cluster 2 terdapat 14 kecamatan. Algoritma K-means memiliki 2 cluster yaitu cluster 1 terdapat 84 kecamatan dan cluster 2 terdapat 33 kecamatan. Kesimpulan: Algoritma terbaik untuk pengelompokan akseptor keluarga berencana di kecamatan seluruh Provinsi NTB adalah algoritma SOM.  
APPLYING K-MEANS ALGORITHM FOR CLUSTERING ANALYSIS EARTHQUAKES DATA IN WEST NUSA TENGGARA PROVINCE Kertanah, Kertanah; Rahadi, Irwan; Aryani Novianti, Baiq; Syahidi, Khaerus; Sapiruddin, Sapiruddin; Mandala Putra, Hadian; Gazali, Muhammad; Haiban Hirzi, Ristu; 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  
Support Vector Machine-Radial Basis Function Kernel and K-Nearest Neighbor Differences for Classification Superior Varieties of Rice in Indonesia Chintyana, Alissa; Kertanah, Kertanah; Hastuti, Siti Hariati; Khotimah, Husnul
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.27605

Abstract

Rice is the primary food source for the Indonesian population, making it a priority commodity in Indonesia. Rice production plays a significant role in Indonesia's economic development, with high-yield rice varieties being crucial for enhancing national rice output. Ensuring food security requires the selection of superior rice varieties with optimal quality. This study evaluates various high-yield rice varieties, including INPARA, INPARI, INPAGO, and HIPA, based on characteristic data collected in 2023. Machine learning algorithms, increasingly central to data analysis, were applied, leveraging labeled data suitable for supervised learning methods. During the pre-processing stage, it was determined that the data did not meet the linearity assumption. Thus the Support Vector Machine (SVM) algorithm was modified with the Radial Basis Function (RBF) kernel to better handle non-linear data. Additionally, the K-Nearest Neighbor (KNN) algorithm, a traditional method, was used for comparison. The results indicate that SVM with the RBF kernel achieved faster processing times and the accuracy value reaches 96%, nearly 10% higher than the KNN algorithm.
Peramalan Jumlah Sampah di Kabupaten Lombok Timur dengan Metode ARIMA dan Dekomposisi Nurmayanti, Wiwit Pura; Kertanah, Kertanah; Hasanah, Siti Hadijah; Rahim, Abdul; 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
Co-Authors Abdul Rahim Aini, Sri Rahmatun Alissa Chintyana Amrullah, Lalu Muh. Ayundasari, Dita Septiana Baiq Aryani Novianti Baiq Husnul Khotimah Basirun Basirun Chandrawati Chandrawati, Chandrawati Fartina Hadian Mandala Putra Hasanah, Siti Hadijah Hendrayani, Hendrayani Irwan Rahadi Khaerus Syahidi laxmi zahara M. Hadiyan Amaly Mugni Bustari muhammad Aminuddin Muhammad Gazali Mutia Rosiana Nita Putri Mutia Rosiana Nita Putri Nasibatul Mahmudah Nurmayanti, Wiwit Pura Ramli, Tri Juliantin Ristu Haiban Hirzi Rody Satriawan Sabar Sabar Sapiruddin Sausan Nisrina Siti Hariati Hastuti Sya'roni, Muhammad Umam Hidayaturrohman Wiwit Pura Nurmayanti Yahya, Lalu Muhammad