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All Journal The Journal of Experimental Life Sciences (JELS) Jurnal EECCIS SIGMA: Jurnal Pendidikan Matematika PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Jurnal Matematika Sains dan Teknologi Jurnal Saintek Lahan Kering Variance : Journal of Statistics and Its Applications Publik: Jurnal Manajemen Sumber Daya Manusia, Administrasi dan Pelayanan Publik Jurnal Statistika dan Aplikasinya Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS International Journal of Health, Economics, and Social Sciences (IJHESS) Griya Journal of Mathematics Education and Application Parameter: Journal of Statistics Jurnal Info Sains : Informatika dan Sains Jurnal Kolaboratif Sains Jurnal Pijar MIPA Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Jurnal Riset Mahasiswa Matematika Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Ekonomi dan Manajemen Sciencestatistics: Journal of Statistics, Probability, and Its Application Journal of Mathematics, Computation and Statistics (JMATHCOS)
Siti Nurmardia Abdussamad
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Density based spatial clustering of application with noise using flower pollination algorithm for leptospirosis clustering Karim, Finansiya S. Abd.; Rahmi, Emli; Abdussamad, Siti Nurmardia; Hasan, Isran K.; Yahya, Nisky Imansyah
PYTHAGORAS : Jurnal Program Studi Pendidikan Matematika Vol 14, No 1 (2025): PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika
Publisher : UNIVERSITAS RIAU KEPULAUAN, BATAM, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/pyth.v14i1.7505

Abstract

Leptospirosis is an important health problem in Indonesia, with most cases found in East Java and Central Java provinces. This study aims to identify the distribution pattern of leptospirosis in the two provinces using a clustering approach. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) method is used to cluster areas based on leptospirosis spread factors, but DBSCAN requires optimal parameter determination for accurate results. Therefore, this research implements Flower Pollination Algorithm (FPA) to optimize the epsilon (ϵ) and minimum points (MinPts) parameters in DBSCAN. This research uses secondary data obtained from data on the Number of Natural Disaster Events by Regency / City in East Java and Central Java Provinces in 2023 and data on Population Density by Regency / City in East Java and Central Java Provinces in 2023. The population in this study uses all observations, namely all people in the districts and cities in East Java and Central Java. The sampling technique is saturated sampling, that is, the entire population in the study is sampled. The clustering results using FPA-DBSCAN resulted in two main clusters, with 30 districts/municipalities detected as noise, 23 districts/municipalities belonging to cluster 0, and 20 districts/municipalities in cluster 1. The validation test using Silhouette Coefficient showed a value of 0.1892, indicating that the clustering is quite valid. The results of this clustering can serve as a strategic reference for local governments in optimizing disease surveillance and targeted health interventions.
Prediksi Wisatawan Mancanegara di Indonesia Menggunakan Metode SARIMAX dengan Efek Variasi Kalender Libur Nasional Pakaya, Desya Neydi Putri; Achmad, Novianita; Hasan, Isran K; Wungguli, Djihad; Abdussamad, Siti Nurmardia
Jurnal Riset Mahasiswa Matematika Vol 4, No 6 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i6.34937

Abstract

Fluctuations in the number of foreign tourist arrivals often produce outlier values that can interfere with the accuracy of the forecasting model. This study uses a boxplot approach to detect outliers, followed by Natural Logarithm (ln) transformation as a treatment step. The Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX) method is applied by considering three exogenous variables that show the effect of variations in the National Holiday calendar in the form of Nyepi Day, Idul Fitri Day and year-end holidays. The results of the analysis show that the three variables have a positive effect on the increase in the number of foreign tourist arrivals, where Nyepi Day makes the largest contribution compared to the other two holiday periods. Model 2 (0,1,1)(1,0,1)[12] was selected as the most optimal model based on the evaluation results of several models that have been compared. This model shows excellent performance, indicated by the Mean Absolute Percentage Error (MAPE) value of 3.75\% which indicates that the model has very high prediction accuracy. So that the SARIMAX model is effective in modeling and predicting the number of foreign tourist visits in Indonesia.
PENERAPAN HYBRID SEVEN TOOLS ANALYSIS DAN FAILURE MODE AND EFFECTS ANALISIS DALAM STATISTICAL PROSES Sulista Kamah; Novianita Achmad; Siti Nurmardia Abdussamad
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 3 No. 7 (2025): Juli
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v3i7.5843

Abstract

Kawan Gypsum adalah usaha rumahan ini bergerak pada bidang jasa yangme layani penjualan serta pemasangan gypsum bagi rumah rumah, pertokoan, out let atau gedung gedung yang nantinya digunakan untuk mempercantik arsitektur dalam rumah. Penelitian ini bertujuan untuk menganalisis penerapan seven tools analysis Dan failure mode and effects analisis dalam SPC pada jenis Kecacatan Pada Produksi Profil Gypsum Di Kawan Gypsum. Metode seven tools untuk mengiden tifikasi kualitas produk profil Kawan Gypsum. Penelitian ini menggunakan data primer yang diperoleh melalui angket, wawancara, dukumentasi dan observasi. Populasi dalam penelitian ini mencakup seluru hasil produksi pada kawan Gyp sum. Sampel pada penelitian ini dengan menggunakan metode sampling purposive yaitu suatu metode pengambilan sampel dalam penelitian dimana peneliti bijak sana memilih sampel berdasarkan kriteriakriteria tertentu yang dianggap sesuai dengan tujuan penelitian. Hasil Failure Mode and Effects Analysis memperoleh ni lai RPN tertinggi untuk cacat produksi profil gypsum adalah 392, yang disebabkan oleh faktor manusia dan faktor metode, yaitu kelelahan dan kurang konsentrasi, penyimpanan yang tidak benar dan finishing yang tidak tepat, posisi kedua de ngan RPN berjumlah 343 yang disebabkan oleh faktor manusia yaitu kesalahan dalam proses pengeringan, posisi ketiga ditempati oleh RPN berjumlah 336 dari faktor lingkungan yaitu aliran udara yang tidak merata, posisi keempat ditempati oleh RPN berjumlah 294 dari faktor mesin yaitu penuangan yang kurang efisien, dan posisi kelima ditempati oleh RPN berjumlah 288 dari faktor bahan dan fak tor mesin yaitu minyak cetakan atau bahan pelapis yang tidak sesuai dan sistem penuangan yang tidak konsisten.
PANEL DATA REGRESSION ANALYSIS FOR MODELING THE HUMAN DEVELOPMENT INDEX IN NORTH SULAWESI PROVINCE Abdussamad, Siti Nurmardia; Adityaningrum, Amanda; Payu, Muhammad Rezky Friesta
Parameter: Journal of Statistics Vol. 4 No. 1 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i1.17138

Abstract

The regression analysis is a technique used in hypothesis testing to determine the impact of one variable on another. This study uses Panel Data Regression Analysis, which combines cross-sectional and time series data. This study aims to analyze the impact of Life Expectancy, Income Per Capita, Expected School Years, and Average School Years on the Human Development Index. According to the result of the analysis, the Common Effect Model (CEM), which used Ordinary Least Squares (OLS) estimation, was the most suitable model. The equation obtained is . Moreover, according to the significance test, all independent variables were significantly related to the dependent variable
Evaluation of Implementation Context Based Clustering In Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization Algorithm Abdussamad, Siti Nurmardia; Astutik, Suci; Effendi, Achmad
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 14 No. 1 (2020)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v14i1.609

Abstract

This paper contains an evaluation of the implementation Context Based Clustering method into Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization (FGWC-PSO) algorithm on 11 variable from data factors causing the spread of dengue in East Java. Integration of Particle Swarm Optimization as a metaheuristic algorithm makes the computation run longer so, the solution in this paper is FGWC-PSO will be combined with context based clustering to produce a hybrid method (CFGWC-PSO) which can shorten the computational time of the clustering algorithm. Context based clustering in this paper will use 3 ways, namely by using random values, using Fuzzy C-Means (FCM), and using mean and standard deviations. CFGWC-PSO algorithm using number of clusters = 2 and CFGWC-PSO will be evaluated using IFV index, based on processing results found that the best clustering algorithm is CFGWC-PSO using FCM
Partial Least Square-Path Modeling Analysis of Factors Influencing the Consumptive Behaviour of Generation Z Agustina, Melisa; Djakaria, Ismail; Abdussamad, Siti Nurmardia; Payu, Muhammad Rezky Friesta; Adityaningrum, Amanda
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.8014

Abstract

Consumptive Behaviour refers to individuals’ purchasing behaviour without considering long-term needs and financial conditions. This research presents the results of an analysis of the consumptive behaviour of Generation Z in Dungingi Sub-District, Gorontalo City, selected because it represents the second-largest Generation Z population in the city. The study used the Partial Least Square-Path Modeling (PLS-PM) method to measure factors influencing consumptive behaviour: financial literacy, fear of missing out (FOMO), and hedonistic lifestyle. The sampling technique used was purposive sampling, resulting in 378 respondents aged 17-27 years who are employed. The analysis results indicate that financial literacy and FOMO significantly influence consumptive behaviour, with FOMO being the most dominant factor. The resulting model has a value of 0,930, meaning that the three latent variables can explain 93,0% of the consumptive behaviour of Generation Z. This study is expected to provide useful insights for policymakers and related parties in adressing consumptive behaviour issues among Generation Z. Keywords: PLS-PM; Consumptive Behaviour; Generation Z
Implementation of Path Analysis for Modeling the Influence of Organizational Culture on Work Productivity Abdussamad, Siti Nurmardia; Abdussamad, Zuchri; Reza, Widya; Aqmal, Ikhlas Ul
Jurnal Pijar Mipa Vol. 19 No. 4 (2024): July 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i4.7037

Abstract

This research aims to determine the significant factors of organizational culture that influence employee performance productivity using a path analysis model by looking at the total direct and indirect influence of sub-variables. Path analysis can describe the magnitude of the influence and significant variables using direct and indirect influences. By adapting to this case, direct and indirect modeling is needed to see the magnitude of the influence of these sub-indicators. Research related to organizational culture has been carried out to see how much influence organizational culture and motivation have on employee performance. The result is that the greater the organizational culture and achievement motivation, the higher the influence on employee performance. This type of research uses a qualitative and quantitative approach. This research uses a questionnaire to collect data, which has been tested for validity and reliability. This research was conducted at the Gorontalo District Health Service in 2022. Respondents used in this research were 57 Gorontalo District Health Service employees. Data analysis using software R. Results of the research show that organizational culture variables and sub-variables, namely artifacts (X1), values ​​(X2), and basic assumptions (X3), significantly influence employee performance productivity (Y). The total effect is calculated using the path coefficient calculation of the significant variables. The total influence of organizational culture in the form of artifacts (X1) on employee work productivity (Y) is 72%, and the total influence of organizational culture in the form of values ​​(X2) on employee work productivity (Y) is 65%. The total influence of organizational culture is in the form of basic assumptions (X3 ) on employee work productivity (Y) of 78%. This shows that the organizational culture variable influences the most significant influence, namely basic assumptions (X3). The Gorontalo district health office can consider the results of this analysis to make further policies regarding which organizational culture priorities will be implemented to increase employee productivity to the maximum.
STRUCTURAL EQUATION MODELING-GENERALIZED STRUCTURED COMPONENT ANALYSIS TO ANALIZING STRUCTURE OF POVERTY IN INDONESIA IN 2022 Marukai, Nur Amalia; Wungguli, Djihad; Nashar, La Ode; Nasib, Salmun K.; Asriadi, Asriadi; Abdussamad, Siti Nurmardia
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 2 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss2page167-174

Abstract

Structural Equation Modeling - Generalized Structured Component Analysis (SEM-GSCA) is a component-based method suitable for limited sample sizes. GSCA is appropriate for structural models that include variables with reflective and formative indicators. This study utilizes the Alternating Least Square (ALS) parameter estimation. Iterations in ALS are used to achieve minimal residuals. Additionally, this study employs jackknife resampling to obtain standard error estimates. This study aims to identify the poverty model structure in Indonesia and examine the relationships among poverty, human resources, economic, and health variables. The results of the structural model of poverty in Indonesia are explained as follows: the influence of human resources and economic variables on poverty is insignificant, while the health variable significantly negatively influences poverty. Furthermore, the health variable significantly influences human resources, and both human resources and health significantly influence the economy.
Penerapan Multilayer Perceptron (MLP) untuk Klasifikasi Citra Kue Karawo Berdasarkan Fitur Tekstur GLCM dan Warna HSV di Viana Cookies Ilato, Mutiara; Yahya, Lailany; Abdussamad, Siti Nurmardia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4243

Abstract

Kue karawo merupakan salah satu produk pangan tradisional khas Provinsi Gorontalo yang memiliki nilai budaya sekaligus potensi ekonomi. Penilaian kualitas kue karawo selama ini masih dilakukan secara visual dan manual, sehingga sangat bergantung pada subjektivitas penilai dan berisiko menimbulkan ketidakkonsistenan hasil, terutama pada proses produksi dalam jumlah besar. Penelitian ini bertujuan untuk mengklasifikasikan kualitas kue karawo secara otomatis dengan memanfaatkan citra digital dan algoritma Multilayer Perceptron (MLP). Karakteristik kualitas kue direpresentasikan melalui fitur tekstur dan warna, di mana fitur tekstur diekstraksi menggunakan Gray Level Co-occurrence Matrix (GLCM) yang meliputi energy, contrast, correlation, dan homogeneity, sedangkan fitur warna diperoleh dari model Hue, Saturation, dan Value (HSV). Data citra yang digunakan berasal dari Viana Cookies dan telah melalui tahapan praproses serta normalisasi menggunakan metode Z-score sebelum dilakukan pelatihan dan pengujian model. Evaluasi kinerja klasifikasi dilakukan menggunakan confusion matrix dengan indikator akurasi, presisi, dan recall. Hasil pengujian menunjukkan bahwa model MLP mampu memberikan kinerja yang cukup baik dengan nilai akurasi sebesar 80,72%, presisi 72,73%, dan recall 77,42%. Hasil ini menunjukkan bahwa kombinasi fitur tekstur GLCM dan warna HSV efektif digunakan dalam mengklasifikasikan kualitas kue karawo. Secara praktis, penelitian ini diharapkan dapat menjadi dasar pengembangan sistem pendukung keputusan dalam pengendalian kualitas produk kue karawo secara objektif dan efisien.
Analisis Diskriminan Pada Faktor-Faktor yang Memengaruhi Perilaku Peduli Lingkungan Masyarakat Kecamatan Pinolosian Djafar, Fikriyanto; Payu, Muhammad Rezky Friesta; Abdussamad, Siti Nurmardia
Griya Journal of Mathematics Education and Application Vol. 5 No. 4 (2025): Desember 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i4.960

Abstract

This study examines the factors that distinguish the environmental awareness behavior of the Pinolosian District community using Discriminant Analysis. The low level of environmental awareness in this region is reflected in the minimal community participation in cleanliness and waste management activities. This study aims to develop a discriminant model based on three main variables, namely attitude, subjective norms, and behavioral control, and to identify the most dominant variables in distinguishing between groups of people who do and do not engage in environmentally conscious behavior. Data were obtained from 371 respondents through a questionnaire that had been tested for validity and reliability, then analyzed using R Studio software. The results show that the discriminant function formed is statistically significant, with behavioral control as the most dominant distinguishing factor, followed by subjective norms and attitudes. The resulting classification model has an accuracy rate of 69%, which indicates a fairly good ability to categorize community environmental behavior. These findings confirm that improving environmentally conscious behavior needs to focus on strengthening the community's perception of their capabilities through the provision of supporting facilities, the reduction of structural barriers, and the strengthening of social norms as the basis for formulating environmental policies at the regional level.
Co-Authors Abdussamad, Siti Nurcahyati Agustina, Melisa Agusyarif Rezka Nuha Alaina, Silvana Rahmayanti Amanda Adityaningrum Amanda Adityaningrum Amanda Adityaningrum Armayani Arsal Asriadi Asriadi Asriadi Desya Neydi Putri Pakaya Dewi Rahmawaty Isa Dina Zulfiana Matiyeni Djafar, Fikriyanto Djihad Wungguli Doholio, Nadya Pratiwi Dwi Putri Juniar Adam effendi, Achmad FAHREZAL ZUBEDI Fajar Putrawan Djabar Febrya Christin Handayani Buan Hanz Franklyn Bachruddin Wewengkang Hinelo, Ikrar Prasetyo Ikhlas Ul Aqmal Ilato, Mutiara Ismail Djakaria Ismail Djakaria Isran K Hasan Isran K Hasan Isran K. Hasan Juriko Abdussamad Karim, Finansiya S. Abd. La Ode Nashar Lailany Yahya Marukai, Nur Amalia Meitasya wolah Mohamad Iswanto Rahman Mohamad, Rini Wahyuni Muhammad Rezky F. Payu Muhammad Rezky Friesta Payu Nadia Kasmin Hasan Nadya Pratiwi Doholio Naue, Siti Nurmeylisya Ni Luh Diyani Swarningsih Ni Wayan Tiarawati Nikmatisni Arsad NISKY IMANSYAH YAHYA Nurwan Nurwan Nur’ain Manoppo Pakaya, Desya Neydi Putri Putri Ayuningtias Mahdang Putu Ayu Indah N. Usia Putu Ayu Indah Nazwa Usia Qamarani Zatil Isma Darise Rahmi, Emli Rifandi Pratama Putra Kasadi Rizal Usman Salmun K. Nasib Shafiah Poliyama Siti Nurmeylisya Naue Suci Astutik Sulista Kamah Syafri Yandi Kudo Taufik, Mohamad Alfiransyah Vidya Avianti Hadju Wahyu Pratama Lasaleng Wahyu Pratama Lasaleng Widya Reza Widya Reza Zuchri Abdussamad