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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Pengabdian Magister Pendidikan IPA Jurnal Aplikasi Statistika & Komputasi Statistik EIGEN MATHEMATICS JOURNAL Jurnal Matematika UNAND Jurnal Varian Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Mandalika Mathematics and Educations Journal Fraction: Jurnal Teori dan Terapan Matematika Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu Bakti Sekawan : Jurnal Pengabdian Masyarakat Jurnal Sains Natural Semeton Mathematics Journal IJASDS: Indonesian Journal of Applied Statistics and Data Science
Harsyiah, Lisa
Program Studi Matematika, FMIPA, Universitas Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Analisis Cluster Untuk Pengelompokan Provinsi Di Indonesia Berdasarkan Tingkat Kemiskinan Menggunakan Metode Average Linkage Saputra, Dede; Ardania, Azrianti; Putri, Syaftirridho; Asri, Adis Tia Juli Agil; Harsyiah, Lisa
Indonesian Journal of Applied Statistics and Data Science Vol. 1 No. 1 (2024): November
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v1i1.5446

Abstract

Poverty is a major economic and social issue in Indonesia because it is a serious problem that can affect social welfare. Poverty is influenced by many factors including school enrollment rate, life expectancy, gross regional domestic product, human development index and open unemployment rate. Cluster analysis is a technique in multivariate statistics where objects are grouped based on proximity or similarity of properties so that objects that have close proximity (similar properties) will be in the same group (cluster). The purpose of this study is to cluster provinces in Indonesia based on poverty levels using the average linkage method. The results of this study obtained 5 clusters, where cluster 1 consists of Nanggroe Aceh Darussalam, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung Islands, Central Java, East Java, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, North Kalimantan, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, West Sulawesi, Maluku, North Maluku and West Papua. Cluster 2 consists of Riau Islands, West Java, Banten and North Sulawesi. Cluster 3 consists of DKI Jakarta and East Kalimantan. Cluster 4 consists of DI Yogyakarta and the last cluster consists of Papua.
Regresi Komponen Utama dalam Mengatasi Multikolinieritas pada Faktor-Faktor yang Mempengaruhi Inflasi di Indonesia Ningrum, Salsabila Hadi Putri; Hisan, Khairatun; Ramdhani, Triana Putri; Luzianawati, Luzianawati; Zindawi, M. Daffa Rizki; Harsyiah, Lisa
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.5827

Abstract

Inflation is a significant concern for a developing country like Indonesia. To effectively anticipate inflationary trends, it is essential to conduct statistical analysis to determine what factors can influence inflation. This study utilized Principal Component Regression (PCR) to address multicollinearity in the regression model linking inflation to various factors. The results revealed that transportation, food, electricity and household fuel factors positively correlate with inflation, while health, education and clothing show negative correlations. However, the resulting regression model proved to be inadequate, as evidenced by a very low R-square value. This highlights the necessity for further refinement of the model to provide better information in the context of inflation management in Indonesia.
Analisis Tren Sosial di Indonesia dengan Peta Kendali CUSUM (Studi Kasus: Perceraian, Kemiskinan, Pernikahan Dini, dan Tingkat Pendidikan) Navisah, Navisah; Fariha, Mawaddatul; Ranti, Ketrin Jupina; Astuti, Lita; Yarti, Suwindah Puji; Harsyiah, Lisa; Qudsi, Jihadil
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.6909

Abstract

Social changes in Indonesia, in the last ten years, have attracted the attention of researchers, especially related to the problems of divorce, early marriage, education levels, and poverty. For example, early marriage is still a major problem in some places. BPS, in 2022, reported that the rate of early marriage in Indonesia was very high, from 16.23% in 2022 to 17.32% in 2023. Several studies have shown a correlation between poverty levels, education levels, and early marriage rates. One effective statistical approach to monitoring changes in trends in time data is the Cumulative Sum Control Chart (CUSUM). The CUSUM control chart method, social data trends can be analyzed longitudinally, detecting significant changes, and mapping the time and magnitude of the shifts that occur. A total of 36 data from 4 variables in the 2022-2024 range were processed using the R application to obtain the CUSUM control chart. The results obtained showed that the variables of education level and early marriage showed more data that was within the limits of the CUSUM constraint map, while the variables of divorce rate and poverty rate had a lot of data that was out of control, which occurred a lot in the months of 2023.
PERBANDINGAN METODE AVERAGE LINKAGE DAN K-MEANS DALAM MENGELOMPOKKAN PERSEBARAN PENYAKIT MULUT DAN KUKU DI INDONESIA Angelina; Harsyiah, Lisa; Purnamasari, Nur Asmita
Fraction: Jurnal Teori dan Terapan Matematika Vol. 4 No. 2 (2024): Fraction: Jurnal Teori dan Terapan Matematika
Publisher : Jurusan Matematika, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/fraction.v4i2.63

Abstract

The purpose of this study was to analyze the spread of Foot and Mouth Disease (FMD in Indonesia by using two different methods: average linkage and k-means. In addition, this study also aimed to determine the most effective method of classifying the distribution of FMD in Indonesia between the two methods used. The results of cluster validation showed that the optimal number of clusters formed in the average linkage method was 4, while in the k-means method, there were 3 clusters. The grouping with the average linkage method was better than the results of classifying with the k-means method, as the standard deviation ratio in the average linkage method was smaller at 0,035, compared to 0,258 in the k-means method. Therefore, it was concluded that the average linkage method was better than the k-means method in classifying the distribution of FMD in Indonesia.
Peningkatan Pemahaman Konsep Geometri melalui Visualisasi Sketsa Grafik Fungsi bagi Siswa Di SMA Negeri 1 Pujut Zulhan Widya Baskara; Abdurahim, Abdurahim; Robbaniyyah, Nuzla Af'idatur; Ramadhan, Hikmal Maulana; Hidayatullah, Azka Farris; Alfian, Muhammad Rijal; Bahri, Syamsul; Awalushaumi, Lailia; Syechah, Bulqis Nebula; Marwan, Marwan; Salwa, Salwa; Rusadi, Tri Maryono; Maharani, Andika Ellena Saufika Hakim; Harsyiah, Lisa; Baskara, Zulhan Widya; Satriyantara, Rio
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i1.733

Abstract

Geometry is one of the fundamental topics in mathematics, playing a crucial role in understanding shapes, sizes, positions, and spatial relationships between objects. Mastery of this concept is essential; however, in practice, many students still struggle to grasp geometry material. This issue is also evident at SMA Negeri 1 Pujut, where several students demonstrate a low level of understanding of geometric concepts. In response to this problem, the aim of the research is a community service activity was carried out in the form of tutoring sessions focused on improving students' understanding of geometry. This activity employed a visualization approach through function graph sketches to help students better comprehend the interconnections between concepts in a more concrete way. Based on the evaluation results, data showed that 86.67% of students exhibited improved learning outcomes after participating in the activity. This achievement indicates that the instructional method used by the facilitators was quite effective and well-received by the majority of participants.
Perbandingan Regresi Ridge dan Partial Least Square Dalam Mengatasi Multikolinearitas Pada Faktor-faktor Yang Mempengaruhi Kemiskinan di Nusa Tenggara Barat Sari, Baiq Desi Nurma; Harsyiah, Lisa; Baskara, Zulhan Widya
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 2 (2025): November
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i2.8051

Abstract

Poverty is one of the most serious problems and must be addressed immediately. One of the steps to overcome poverty is to identify the factors that influence it. One of the statistical techniques used to examine the relationship between predictor variables and the response variable is regression analysis. An important assumption that must be met in regression analysis is the absence of multicollinearity. Multicollinearity refers to a condition where two or more predictor variables are highly correlated, which can reduce the accuracy of the regression model. Therefore, addressing multicollinearity is essential to obtain a reliable and valid model. Inthis study, two methods were employed Ridge regression and Partial Least Square (PLS) with the aim of overcoming the multicollinearity problem. The  R2adj value was used as a comparison criterion to evaluate model performance. Both methods were applied to poverty-related data that exhibited signs of multicollinearity. The R2adj value obtained from the ridge regression model was  68.57%, while the PLS model yielded a higher  R2adj value of 75.1% . Based on this comparison, it can be concluded that the PLS model produced more optimal results than ridge regression in addressing multicollinearity in the context of modeling factors that influence poverty levels in West Nusa Tenggara Province.
Pengembangan Media Edukasi Berbasis Vidio Untuk Peningkatan Kompetensi Kader Posyandu dalam Mendukung Desa Cantik di Lembar Selatan Istiqamah, Istiqamah; Baskara, Zulhan Widya; Harsyiah, Lisa; Putri, Dina Eka; Andriani, Helmina; Qudsi, Jihadil; Saputri, Intan Editia
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i2.894

Abstract

The integrated health posts (posyandu) in South Lembar Village, West Lombok Regency, face challenges in recording and reporting health data due to the low level of digital literacy among community health cadres, which slows down decision-making for village-level health programs. This community service initiative aims to enhance the competencies of cadres from 13 posyandu through the development of educational media in the form of Microsoft Excel tutorial videos, combined with in-person training sessions and field mentoring.The implementation methods included outreach activities, intensive training, the application of technology through short video tutorials on the TikTok platform, and evaluation using paired t-test analysis. The evaluation results indicated a significant improvement in cadre competencies, with the average pre-test score increasing from 62.00 to 90.00 in the post-test. Furthermore, the paired t-test results (p-value 0.045 < 0.05) demonstrate that the training had a positive impact on cadre skills.This improvement reflects the effectiveness of combining self-directed video learning with direct mentoring in accelerating mastery of basic Excel functions for managing nutrition, immunization, and maternal visit data. Overall, the program succeeded in strengthening the digital reporting system of the posyandu.
The Implementation of Fuzzy Time Series in Forecasting The Number of Tourist Visits Aziza, Istin Fitriana; Soraya, Siti; Sahdan, Sahdan; Husain, Husain; Hendayanti, Ni Putu Nanik; Harsyiah, Lisa
Jurnal Varian Vol. 8 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i3.4890

Abstract

The development of tourism in West Nusa Tenggara (NTB) Province is supported by its geographical conditions, including scattered small islands (gilis), a tropical climate, and the cultural peculiarities of the Sasak and Mbojo Tribes, thereby becoming an attraction in the development of global tourist destinations. Tourism development in NTB Province would be more attractive with the establishment of the Mandalika National Tourism Development Strategic Area (KSPPN). This research aims to predict the number of tourist visits. A method to forecast the number of tourist visits in NTB Province is needed to assist the government in preparing appropriate facilities and infrastructure in the event of a possible surge in tourist visits. The method used in this study is the Fuzzy Time Series to predict the number of tourist visits in NTB Province. The data used in this study were secondary data sourced from the NTB government tourism office. The result of this research was that the Fuzzy Time Series method was effective in predicting the number of tourist visits in NTB Province, with an accuracy of 90.29%. The forecast result, generated using the Fuzzy Time Series method, was not significantly different from the actual data; in other words, it was almost identical to the actual data. The forecast for tourist visits to the NTB province in the 48th period remains unchanged until the 53rd period, namely 80,739.7 people. The FTS method used in this study cannot be applied to data with long-term seasonal patterns. A suggestion for future researchers is to develop a classical FTS that captures additional long-term seasonal patterns. 
Comparison of Cluster Average Linkage and K-Means Analysis Methods for Poverty Grouping in The Nusa Tenggara Area Alimuddin, Muhammad; Harsyiah, Lisa; Baskara, Zulhan Widya
Eigen Mathematics Journal Vol 9 No 1 (2026): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v9i1.243

Abstract

Poverty is a problem that often occurs and is a fundamental problem in almost all developing countries, including Indonesia. The Nusa Tenggara region consists of two administrative regions, namely the Provinces of West Nusa Tenggara (NTB) and East Nusa Tenggara (NTT) which have high poverty rates. The increase in the number of poor people was caused by several indicators such as environmental conditions, education, income, health, access to goods and services, and others. The purpose of this research is to determine the best method in the process of classifying poverty with the cluster analysis method. The methods used in this study are the average linkage and K-Means cluster analysis methods, as well as the silhouette index method in terms of cluster validation to obtain the best cluster analysis method. The data used is poverty data for the Nusa Tenggara Region in 2021 which includes four poverty sectors, namely employment, education, health, and housing and the environment. Based on the research results, the best method for grouping is the K-Means cluster analysis method by forming three clusters where the first cluster consists of 3 districts/cities, the second cluster consists of 22 districts/cities, and the third cluster consists of 7 districts/cities. The K-Means cluster analysis method is the best method with the highest silhouette index value of 0.28, higher than the average linkage method which obtained a silhouette index value of 0.27.
Co-Authors Abdurahim, Abdurahim Adis Tia Juli Agil Asri Adis Tia Juli Agil Asri Agus Kurnia Alfarez, Dzaki Ade Alimuddin, Muhammad Angelina Ardania, Azrianti Asri, Adis Tia Juli Agil Astuti, Lita Attina Ulansari Auladi, Muhammad Yuzaul Azrianti Ardania Baskara, Zulhan Dara Puspita Anggraeni Dede Saputra Desy Komalasari Dewa Nyoman Adi Paramartha Dina Eka Putri Dina Eka Putri Eka Putri, Dina Emmy Dyah Sulistiowati Emmy Dyah Sulistyowati Emmy Dyah Sulistyowati, Emmy Dyah Evita, Isma Fadhilah, Rifdah Fadillah, Muhammad Fara Fid Fariha, Mawaddatul Graha, Syifa Salsabila Satya Hafizah Ilma Halifatunnisa, Nur Helmina Andriani Hendayanti, Ni Putu Nanik Hidayatullah, Azka Fariz Hidayatullah, Azka Farris Hisan, Khairatun Husain Husain Inarah, Filzah Istin Fitriana Aziza Istiqamah, Istiqamah Jihan Melani Jurnal Pepadu Jurniati, Jurniati Lailatul Pahmi Lailia Awalushaumi, Lailia Lawwamah, Tamsilul Lilik Hidayati, Lilik Lingking, Fransiska Prisilia Lisa , Harsyiah Luzianawati, Luzianawati M. Naoval Husni M. Syahrul Maharani, Andika Ellena Saufika Hakim Marwan Marwan Meliyana, Hesti Muhammad Rijal Alfian Mustika Hadijati Navisah, Navisah Ningrum, Salsabila Hadi Putri Nirwanto Nirwanto, Nirwanto Nur Asmita Purnamasari Nurmaulia, Ananda Rizantia Nurul Fitriyani Nurul Fitriyani PURNAMASARI, NUR ASMITA Putri, Syaftirridho Qabul Dinanta Utama Qudsi, Jihadil Qurratul Aini Ramadhan, Hikmal Maulana Ramdhani, Triana Putri Ranti, Ketrin Jupina Rifdah Fadhilah Rio Satriyantara Rizki Fitri Ananda Robbaniyyah, Nuzla Af'idatur Robbaniyyah, Nuzla Af’idatur Sabina, Sabna Zulfaa Sahdan, Sahdan Salwa Salwa Salwa Salwa Saputra, Dede Saputri, Intan Editia Sari, Baiq Desi Nurma Sari, Kurnia Mahraini Kartika Setiawana, Ena Siti Soraya Sulpaiyah Sulpaiyah Syaftirridho Putri Syamsul Bahri Syamsul Bahri Tajalli, Halawatun Tri Maryono Rusadi Vidya Atika Ramdani Yarti, Suwindah Puji Yuliana Lestari Zindawi, M. Daffa Rizki Zulhan Widya Baskara