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All Journal The Journal of Experimental Life Sciences (JELS) Jurnal Sosial Ekonomi Pertanian CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Mahasiswa Statistik Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer JURNAL ILMIAH MATEMATIKA DAN TERAPAN PERFORMA : Media Ilmiah Teknik Industri BAREKENG: Jurnal Ilmu Matematika dan Terapan Proceeding Simposium Nasional Kelautan dan Perikanan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Pertanian Agros ComTech: Computer, Mathematics and Engineering Applications Jurnal ABDINUS : Jurnal Pengabdian Nusantara Inferensi MATHunesa: Jurnal Ilmiah Matematika Pakem : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Official Statistics ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat

Atiek Iriany

Universitas Brawijaya

Author-ID : 288480

Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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Perbandingan Akurasi Peramalan Curah Hujan dengan menggunakan ARIMA, Hybrid ARIMA-NN, dan FFNN di Kabupaten Malang Bestari Archita Safitri; Atiek Iriany; Ni Wayan Surya Wardhani
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Time series analysis is an observation that is built on time sequences. Time series analysis is useful in various fields, especially meteorology. One aspect of meteorology is rainfall, which can have an impact on human life. Rainfall has a complicated pattern to predict, so we need the best method for forecasting rainfall. There are several methods that can analyze the intensity of rainfall. Methods that can be used to predict rainfall are ARIMA method, Feed Forward Neural Network (FFNN) method, and hybrid ARIMA-NN. This study aims to obtain the best rainfall modeling and prediction based on the three methods above. The rainfall data used came from the Mini Weather Station (MWS) at Supiturang and Manggisari hamlets. Based on the results of the study, at Supiturang, the best model was ARIMA(1,1,1) with RMSE of 3.4326. At Manggisari, the best model is Hybrid ARIMA(1,1,1) FFNN(4-9-1) with RMSE of 3.1056.

Penerapan Aplikasi Sistem Administrasi Desa Untuk Mendukung Tata Kelolah Pemerintah Desa Di Desa Mulyoagung Kecamatan Dau Atiek Iriany; Wigbertus Ngabu; Solimun Solimun; Achmad Efendi; Danang Ariyanto; Arditama Putra Rochmanullah
Journal of Innovation and Applied Technology Vol 9, No 1 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2023.009.01.8

Mulyoagung Village is a village in the Highlands which is located in Dau District, Malang Regency. The development of a tourist village requires a database and information that must be structured and systematic. One of the data and arrangement of the village administration system is related to the potential of the village or village services. Through situation analysis, this service activity tries to map the potential of the village, especially in village services. Development of village administration system applications as a tool for village officials in serving the community. The application of the village administration system application for the village of Mulyoagung is expected to be a means of providing excellent service to the community that is carried out more quickly, precisely, and accurately. Based on the survey results, the village government is very satisfied with the village information system that has been created.

Geographically and Temporally Weighted Regression Modeling in Analyzing Factors Affecting the Spread of Dengue Fever in Malang Fahmi Indrayani; Henny Pramoedyo; Atiek Iriany
The Journal of Experimental Life Science Vol. 8 No. 2 (2018)
Publisher : Postgraduate School, Universitas Brawijaya

Geographically and Temporally weighted regression (GTWR) modeling has been developed to evaluate spatial heterogeneity and temporal heterogeneity in factors influencing the spread of dengue fever in Malang city. By using the monthly data in 2012-2015 as the temporal unit of each urban village in Malang and village is considered as a spatial unit. GTWR model is compared with the GWR model using several statistical criteria. GTWR model shows that the relationship between dengue incidence with population density and monthly average temperature significantly affects each Village in Malang.Keywords : DHF, GTWR, Spatiotemporal Pattern

Analyzing The Cost of Paddy Rice Labor in Indonesia: A Case Study in Ten Tons Syngenta Project Nikmatul Khoiriyah; Mellysa Isnaini; Atiek Iriany; David Forgenie
JSEP (Journal of Social and Agricultural Economics) Vol 16 No 2 (2023): JURNAL SOSIAL EKONOMI PERTANIAN (J-SEP)
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsep.v16i2.38160

Rice is a commodity strategy and a basic food for nearly all Indonesian households. The purpose of this study is to describe the labor utilization and costs associated with all farming activities, as well as the income and efficiency of lowland rice farming. The study took place in the Ten Tons Syngenta area, specifically in Glanggang Village, Beji District, Pasuruan Regency, East Java. The study took place between August and September 2022. The sample was determined using a 20% random sampling technique, which in the collection of 22 samples of farmers. The research data were derived from primary sources and were gathered through direct interviews with farmers. The results indicated that labor costs is so high in land preparation and planting (53.50 percent) dominated work in lowland rice farming, followed by harvesting (17.37 percent), weeding (14.74 percent), fertilizing (8.92 percent), and spraying (5.4 percent ). Lowland rice farmers earn Rp. 5,381,567 per hectare and have an R/C ratio of 1.35. The application of advanced technology, particularly in land preparation and planting, is critical for increasing the income and efficiency of lowland rice farming in the Syngenta ten-ton area in order to support rice self-sufficiency in the run-up to Indonesia's 100th anniversary of independence in 2045.

Location Based Stunting Modeling Using Geographically Weighted Panel Regression in Blitar Regency Pramoedyo, Henny; Ngabu, Wigbertus; Iriany, Atiek
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 2 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i2.17446

Stunting remains a significant public health issue in Blitar Regency, Indonesia, particularly in rural areas where chronic malnutrition and inadequate access to healthcare services persist as major challenges. This study aims to explore the spatial and temporal factors influencing stunting using the Geographically Weighted Panel Regression (GWPR) method. By integrating cross-sectional and time-series data from 2021 to 2023, the study evaluates various factors, including the stunting prevalence rate and independent variables such as maternal education level, per capita income, the number of postpartum mothers receiving Vitamin A supplements, immunization coverage, and the availability of healthcare personnel. The findings reveal that stunting prevalence is significantly influenced by location-specific variables, with healthcare access and nutrition being dominant factors in rural areas, while economic conditions exert a greater influence in urban areas. The GWPR model provides deeper insights into spatial heterogeneity and offers valuable guidance for designing targeted and region-specific policies to reduce stunting rates in Blitar Regency. The results indicate that the R-Square value of the GWPR model is 0.9123, meaning that 91.23% of the stunting prevalence in Blitar Regency can be explained by the independent variables in this study

Masterplan Kawasan Agrowisata Desa Talun Ponorogo Sugiarto, Sugiarto; Sutopo, Dhanny Septimawan; Nugroho, Arief Budi; Iriany, Atiek; Subagiyo, Aris
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 9 No 1 (2025): Volume 9 Nomor 1 Tahun 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v9i1.21607

Ngebel Lake is one of the leading tourist destinations in Ponorogo Regency. Various annual events are held at Telaga Ngebel to attract local, domestic and international tourist visits. Ngebel Lake has an area of ±150 ha which is surrounded by Ngebel Village, Sahang Village, Wagir Lor Village, and Gondowido Village. Talun Village has an area of 16.72 km2 or around 27.42% of the entire area of Ngebel District. Talun Village has large potential natural resources and human resources, but has not been utilized optimally. Some of the superior potential of Talun village include the Widodaren waterfall, the Argokiloso hermitage site, Sedayu coffee plantations, village-owned plantation land and a forestry area of around 50 ha, opium coffee, 24 groups of goat and sheep breeders. This agrotourism area has the potential to complement the Telaga Ngebel tourist destination which is already well known to the wider community. This agrotourism area is expected to be able to encourage village economic growth which will lead to improving the welfare of the people of Talun village. The problem is that Talun village does not yet have a master plan for an agrotourism area as part of the gradual development process. Based on these problems, a master plan design for the Talun Village agrotourism area needs to be created.

Multigroup Analysis on Partial Least Square-Structural Equation Modeling in Modeling College Students' Saving Behavior Asaliontin, Lisa; Sumarminingsih, Eni; Solimun, Solimun; Sepriadi, Hanifa; Iriany, Atiek; Hamdan, Rosita
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i1.27692

This study aims to determine the factors that influence college students' saving behavior, with gender as a moderating variable. The analysis used is Partial Least Square-Structural Equation Modeling (PLS-SEM) with Multigroup Analysis. This study was conducted on 200 college students in City X who were selected by purposive sampling. Data collection was carried out using a structured questionnaire that measures Perceived Benefits, Perceived Ease of Use, Saving Intentions, and Saving Behavior. Confirmatory Factor Analysis (CFA) and Bootstrapping were used to validate the measurement model and structural relationships. The results showed that Perceived Benefits and Perceived Ease had a significant effect on Saving Intentions and Saving Behavior. In addition, Saving Intentions had a significant effect on Saving Behavior. This relationship applies to both male and female groups, with a determination coefficient of 86.2% for males and 86.7% for females. Moderation analysis shows that gender moderates the relationship between Perceived Benefits and Saving Behavior, as well as between Perceived Ease and Saving Behavior. These findings highlight the importance of considering gender differences in efforts to improve students' savings behavior.

Simulasi Pemodelan Jalur Semiparametrik Truncated Spline pada Kasus Perkembangan Cashless Society Pramaningrum, Dea Saraswati; Iriany, Atiek; Solimun; Budi Astuti, Ani; Haneinanda Junianto, Fachira; Fernandes, Adji
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025128679

Simulasi merupakan suatu proses merancang model matematis dari sistem yang nyata dengan cara melakukan percobaan terhadap model menggunakan komputer. Pada penelitian ini simulasi untuk memodelkan kasus perkembangan cashless society karena adanya keterbatasan ketersediaan data asli. Pemodelan simulasi dilakukan berdasarkan hasil analisis data asli yang menggunakan analisis jalur semiparametrik truncated spline. Data asli yang digunakan merupakan hasil kuesioner dengan responden sebanyak 100 nasabah bank pengguna m-banking. Perkembangan cashless society merupakan topik yang menarik untuk diteliti karena di Indonesia sendiri terdapat perubahan kebiasaan masyarakat dalam bertransaksi menggunakan non-tunai semenjak mewabahnya virus COVID-19. Hasil penelitian menunjukkan bahwa skenario model yang dapat dijadikan acuan untuk pengambilan keputusan terkait perkembangan cashless society adalah kombinasi model semiparametrik truncated spline berordo linier dengan dua titik knot di mana hanya terdapat satu hubungan nonparametrik pada model. Hasil penelitian dijadikan acuan oleh pemerintah terkhusus pihak bank untuk mendukung perkembangan cashless society. Abstract Simulation is a process of designing a mathematical model of a real system by conducting experiments on the model using a computer. In this study, a simulation is used to model the case of the development of a cashless society due to the limited availability of original data. Simulation modeling was carried out based on the results of original data analysis using truncated spline semiparametric path analysis.The original data used was the result of a questionnaire with respondents of 100 bank customers using m-banking. The development of a cashless society is an interesting topic to study because in Indonesia itself there has been a change in people's habits in transacting using non-cash since the outbreak of the COVID-19 virus. The results show that the model scenario that can be used as a reference for decision-making related to the development of a cashless society is a combination of a semiparametric truncated spline model of a linear order with two knots where there is only one nonparametric relationship in the model. The results of the research are used as a reference by the government, especially the bank to support the development of a cashless society.

INTEGRATION OF HIERARCHICAL CLUSTER, SELF-ORGANIZING MAPS, AND ENSEMBLE CLUSTER WITH NAÏVE BAYES CLASSIFIER FOR GROUPING CABBAGE PRODUCTION IN INDONESIA Maghfiro, Maulidya; Wardhani, Ni Wayan Surya; Iriany, Atiek
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1057-1070

The purpose of this study is to evaluate and compare different clustering techniques, including hierarchical cluster analysis (using complete linkage, average linkage, and single linkage methods), Self-Organizing Maps (SOM) clustering, and ensemble clustering, within the framework of integrated cluster analysis combined with Naïve Bayes analysis, specifically applied to cabbage production in Indonesia. The data utilized in this study are on cabbage production from various districts and cities in Indonesia, obtained from the 2023 publications of the Central Statistics Agency (BPS). The variables used in this study are cabbage harvest, cabbage production, area height, and rainfall. The data size used is 157 districts/cities in Indonesia. This research is a quantitative analysis employing integrated cluster analysis combined with Naïve Bayes. Cluster analysis is used to obtain classes in each district/city. Different clustering methods, including hierarchical clustering, Self-Organizing Map (SOM), and ensemble clustering, are compared to determine the best approach for grouping districts based on cabbage production. Naïve Bayes analysis is then used to classify cabbage production in Indonesia and identify the optimal clusters. This comparison aims to find the most effective clustering method for improving grouping accuracy and understanding cabbage production patterns. The best method for classifying cabbage production in Indonesia is the ensemble clustering approach integrated with Naïve Bayes, resulting in three distinct clusters: high, medium, and low production clusters.

DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA Sepriadi, Hanifa; Iriany, Atiek; Solimun, Solimun; Rinaldo Fernandes, Adji Achmad
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1193-1202

In the application of SEM to multivariate data, the individuals collected not only come from the same population but also from several groups (clusters). This data is heterogeneous. When SEM is applied to heterogeneous data, there will be a risk of bias in estimating equations in the measurement and structural models because there are differences between groups in the data. The purpose of this study is to overcome heterogeneous data in modeling cashless behavior with cluster using a dummy approach. This study used primary data from a survey in Bekasi City using a questionnaire with 100 respondents. Based on the study's results, it is known that using clustering in SEM can overcome heterogeneous data, which is indicated by the high coefficient of determination of 96.12%. Banks can use the results of this study to design products and services that are more in line with customer needs and preferences while encouraging financial inclusion in the digital era.

Co-Authors A. Fahmi Indrayani Achmad Efendi Agus Dwi Sulistyono, Agus Dwi Alim, Viky Iqbal Azizul Amanda, Devi Veda Aniek Iriany Arditama Putra Rochmanullah Arianto, Danang Arifin Noor Sugiharto Aris Subagiyo Asaliontin, Lisa Ayu Aisyah Ashari Bambang Dwi Argo Bestari Archita Safitri Budi Astuti, Ani Cecep Kusmana Chairunissa, Abela Danang Ariyanto Darmanto Darmanto David Forgenie Dewi, Anggi Seftia Dhanny Septimawan Sutopo Eni Sumarminingsih Faddli Lindra Wibowo Fernandes, Adji Fernandes, Adji Achmad Rinaldo Firdaus, Cahyani Jannah Fudianita, Citra Hamdan, Rosita Haneinanda Junianto, Fachira Hartawati, Hartawati Henny Pramoedyo Henny Pramoedyo Hidayat, Kamelia Hidayatulloh, Moh. Zhafran Iwan Setiawan Junianto, Fachira Haneinanda Khoiril Anam, Khoiril Kusdarwati, Heni Maghfiro, Maulidya Maghfiro, Maulidya Maisaroh, Ulfah Marhen Andan Prasetyo Mellysa Isnaini Muhamad Firdaus Muhamad Ridwan Ni Wayan Surya Wardhani NI WAYAN SURYA WARDHANI Nikmatul Khoiriyah Novi Nur Aini Novi Nur Aini, Novi Nur Nugroho, Arief Budi Nugroho, Salma Fitri Ola, Petrus Kanisius Pramaningrum, Dea Saraswati Putra, Arditama Putri, Henida Ratna Ayu Rahma Fitriani Rinaldo Fernandes, Adji Achmad Riza, Sativandi Rosyida, Diana Rudiat Sekarsari, Cindy Sepriadi, Hanifa Solimun Solimun Solimun Solimun, Solimun Suci Astutik Sugiarto S Suryawardhani, Ni Wayan Sutopo, Dhanny Septimawan Ullah, Mohammad Ohid Utomo, Candra Rezzining Wulat Sariro Weni Waego Hadi Nugroho Wardhani, Ni Wayan Surya Wigbertus Ngabu Yuliana, Mila

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