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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 Zero : Jurnal Sains, Matematika, dan Terapan 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 Journal of Community Empowerment International Journal of Informatics Engineering and Computing
Atiek Iriany
Universitas Brawijaya
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 Health Professions 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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Comparison of Mediation Effects on Interaction and Multigroup Approach in Structural Equation Modeling PLS in Case of Bank Mortgage Maisaroh, Ulfah; Fernandes, Adji Achmad Rinaldo; Iriany, Atiek; Ullah, Mohammad Ohid
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 1 (2024): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i1.19919

Abstract

“Structural Equation Modeling is one of multivariate statistical method that used to explain multiple relationships between latent variables simultaneously to test a mediation model to conduct a formal test on mediation effects. Application PLS-SEM for exploratory research and theory development are increasing. Under certain conditions, the effect of exogenous variables on endogenous variable is also strengthened or weakened by moderating variable. In SEM, there are two approaches in analyzing moderation variables, namely the interaction method and the multigroup method. This article aims to compare the mediation effect on interaction approaches and multigroup approaches in Structural Equation Modeling. The data used is the case of timeliness of Bank X mortgage payments. In this article, statistical methods are evaluated to compare indirect effect between groups and examine indirect effect on each group. It was concluded that Collectability Status moderates the indirect relationship between Capital and the Timeliness of Payment through Willingness to Pay. Debtors with current collectability status more strongly effect the Timeliness of Payment than debtors with incurrect collectability status. Theresults of testing indirect effects on moderation with interaction and multigroup approaches are not much different. In the multigroup approach, the bootstrap interval bias is smaller than the bootstrap interval bias in the interaction approach. The Q-square Predictive Relevance value in both methods is quite high, indicating that the model is good. On the Current Collectibility Status group Q^2 is 89.3%, in the incurrect Collectibility Status Q^2 is 84.2%. While in the interaction approach, Q^2 is 70.4%. Researcher recommend a multigroup approach to data that has categorical moderation variables because differences between groups can be directly observed without adding interaction variables in the model.”
PENDAMPINGAN PENATAAN SISTEM ADMINISTRASI DESA DENGAN MENGEMBANGKAN APLIKASI ADMINISTRASI DESA TERPADU DI KELURAHAN ARJOSARI Pramoedyo, Henny; Ngabu, Wigbertus; Wardhani, Ni Wayan Surya; Iriany, Atiek; Chairunissa, Abela
PAKEM : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 2 (2025): Pakem : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pakem.5.2.131-142

Abstract

This community service activity aims to assist Kelurahan Arjosari in restructuring its administrative system more effectively and efficiently through the development of a village administration application built with Microsoft Excel and Visual Basic for Applications (VBA). Based on initial observations, the administrative processes in the kelurahan were still conducted manually, leading to slow public service delivery and a high risk of errors. The developed application is designed to integrate with the village's population database, automate the generation of documents based on National Identification Numbers (NIK), and provide automatic data validation features. Through Focus Group Discussions (FGD) and the official launching of the application, local officials were actively involved in the planning and training phases. Evaluation results show that the application is easy to use, accelerates the document service process, and improves administrative data accuracy. This initiative has had a positive impact on the quality of public services at the local level and serves as a model for applying simple but effective technology to support digital transformation in village governance
Introduksi Budidaya Komoditas Jagung Hibrida dan Kacang Hijau di Kabupaten Malaka Sugiharto, Arifin Noor; Iriany, Atiek; Ngabu, Wigbertus; Ridwan, Muhamad; Anam, Khoiril
ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2023): ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Publisher : UPT Publikasi dan Penerbitan Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/abdiunisap.v1i2.202

Abstract

Praktik budi daya tanaman kacang hijau dan jagung yang dilakukan oleh petani di kawasan transmigrasi Uluklubuk masih belum optimal. Belum optimalnya praktik budi daya ini disebabkan karena penggunaan varietas lokal yang produktivitasnya rendah serta rendahnya penggunaan pupuk untuk mendukung pertumbuhan tanaman. Untuk mengatasi permasalahan mitra kelompok tani, maka beberapa solusi yang diberikan adalah transfer teknologi melalui pendampingan, pelatihan, dan praktik demplot. Pelaksanaan program ini dilaksanakan dengan metode pelatihan, penyuluhan, pendampingan, dan demplot secara berkala. Program kegiatan ini bertujuan untuk mengenalkan varietas jagung hibrida, varietas kacang hijau unggul, dan transfer teknologi budi daya tanaman jagung dan kacang hijau serta meningkatkan pendapatan kelompok tani di Desa Weoe, Kecamatan Wewiku, Kabupaten Malaka. Kegiatan pengabdian dilaksanakan pada bulan Juni sampai dengan Desember 2023. Hasil program kegiatan pengabdian ini menunjukkan bahwa kelompok tani sasaran mampu mengimplementasikan ilmu pengetahuan yang telah diberikan mengenai budi daya jagung hibrida dan kacang hijau unggul. Hasil panen jagung yang diperoleh adalah sebesar 12,877 ton dan hasil panen kacang hijau sebanyak 1,481 ton.
PENAMBAHAN METODE NEURAL NETWORK DALAM PEMODELAN GSTAR-SUR UNTUK MENGATASI KASUS NON LINIER PADA PERAMALAN DATA CURAH HUJAN Iriany, Atiek; Fernandes, Adji Achmad Rinaldo; Efendi, Achmad; Putri, Henida Ratna Ayu; Ariyanto, Danang; Ngabu, Wigbertus
MATHunesa: Jurnal Ilmiah Matematika Vol. 12 No. 1 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v12n1.p226-236

Abstract

Salah satu model peramalan yang dapat yang menggabungkan unsur spasial (spatial) dan temporal (time) adalah Generalized Space Time Autoregressive (GSTAR). Pendugaan parameter yang digunakan adalah Seemingly Unrelated Regression (SUR). Peramalan iklim pada tanaman hortikultura pada masa kini sulit untuk diprediksi karena memiliki pola dan karakteristik yang sulit diidentifikasi dan dapat disebut aktivitas non linier. Unsur non linier ini dapat ditangkap oleh metode neural network. Penelitian ini ingin mengetahui hasil peramalan curah hujan pada 6 wilayah di Tengger menggunakan model GSTAR dengan pendugaan parameter menggunakan metode SUR dan digabungkan dengan neural network agar hasil peramalan yang lebih akurat. Data yang digunakan dalam penelitian ini adalah data curah hujan enam lokasi di wilayah Tengger, yakni Ngadirejo, Puspo, Wonokitri, Argosari, Ngadas, dan Wonokerto. Model yang tepat dalam melakukan peramalan pada data curah hujan pada 6 lokasi Tengger adalah model GSTAR (1,2,3,4,5,6,7,36(1)) Backpropagation Neural Network (96-120-6).
ANALISIS FAKTOR YANG MEMENGARUHI PRODUKTIVITAS JAGUNG DI DESA ANAENGGE KECAMATAN KODI KABUPATEN SUMBA BARAT DAYA Ngabu, Wigbertus; Iriany, Atiek
Agros Journal of Agriculture Science Vol 25, No 1 (2023): edisi JANUARI
Publisher : Fakultas Pertanian, Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v25i1.2471

Abstract

Komoditas jagung merupakan bahan makanan utama kedua setelah beras. Selain itu, jagung juga digunakan sebagai bahan pakan ternak dan bahan baku industri. Jika pemenuhan bahan pakan terganggu, maka pada akhirnya akan mengganggu pemenuhan kebutuhan protein dan peningkatan gizi bagi masyarakat. Oleh karena itu, jagung dipandang sebagai komoditas yang cukup strategis seperti halnya beras. Jagung merupakan salah satu sumber karbohidrat yang cukup potensial terutama di Indonesia Timur. Selain sebagai sumber bahan pangan, jagung juga menjanjikan banyak harapan untuk dijadikan sebagai bahan baku berbagai macam keperluan industri. Salah satu daerah potensial untuk produksi jagung adalah Kabupaten Sumba Barat daya yang memiliki banyak lahan marjinal (lahan kering). Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi produktivitas Jagung di Kabupaten Sumba Barat Daya dengan benih unggul Brawijaya Nusa 01. Metode yang digunakan yaitu regresi linear berganda, dan diproleh hasil variabel yang signifikan berpengaruh terhadap produktivitas jagung di desa Anaengge Kabupaten Sumba Barat Daya Luas Lahan, Benih, NPK, Urea, Pestisida. Diproleh hasil R2 sebesar 93.26%, hasil ini menujukan variabel produktivitas jagung
Structural Equation Modeling Semiparametric Truncated Spline in Banking Credit Risk Behavior Models Amanda, Devi Veda; Iriany, Atiek; Fernandes, Adji Achmad Rinaldo; Solimun, Solimun
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.29769

Abstract

Housing is one of the primary needs for every individual. Along with the increasing population growth in Indonesia, the need for housing has also experienced a significant surge. This study aims to analyze the effect of customer attitudes on compliance behavior, fear of paying late, and timeliness of payment on Home Ownership Credit (KPR) customers at X Bank. Using a semiparametric Structural Equation Modeling (SEM) approach, this study examines the relationship between these variables to provide a deeper understanding of the factors that influence customer payment behavior. The data used in this study are primary data obtained through questionnaires distributed to 100 Bank X mortgage customers. The results of the analysis show that there is a significant influence between customer attitudes (X1) on obedient payment behavior (Y1) and fear of paying late (Y2), as well as timeliness of payment (Y3). The estimated coefficients obtained show a positive relationship between compliance behavior and timeliness of payment, and a negative relationship between fear of paying late and timeliness of payment, with a p-value 0.001 indicating statistical significance. This finding indicates that good customer attitudes can improve payment timeliness, while poor attitudes can lead to fear of paying late, which in turn can affect payment timeliness.
Ensemble Cluster Method For Clustering Cabbage Production In East Java Maghfiro, Maulidya; Wardhani, Ni Wayan Surya; Iriany, Atiek
Inferensi Vol 7, No 2 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i2.20378

Abstract

Cluster analysis is a multivariate analysis method classified under interdependence methods, where explanatory variables are not differentiated from response variables. The methods used include hierarchical cluster analysis, such as agglomerative and divisive, and non-hierarchical methods such as Self Organizing Maps (SOM) based on Artificial Neural Networks (ANN). Various cluster analysis methods often yield diverse solutions, making it challenging to determine the optimal solution. Therefore, the ensemble cluster method is employed to combine various clustering solutions without considering the initial data characteristics with providing better results. One case study of clustering is the grouping of cabbage production. East Java Province has become the third-highest cabbage-producing province in Indonesia with a production of 210,454 tons. Clustering of cabbage-producing regencies/cities was conducted to optimize production and identify areas that have not yet reached their maximum potential. This study compares five clustering methods which are hierarchical analysis (complete linkage, single linkage, average linkage), Self-Organizing Map (SOM), and Ensemble Cluster. The quality of clustering was evaluated using the Silhouette Coefficient (SC), Dunn Index (DI), and Connectivity Index (CI). The results indicate that the Ensemble Cluster method showed the best performance, with an SC value of 0.9124, a DI value of 1.3734, and a CI value of 2.9290, indicating excellent cluster separation. Therefore, the ensemble cluster method is recommended as the best clustering method in this study.
Nonparametric Path Modeling with Double Resampling for Waste Economic Value Utilization: Simulation-Based Performance Comparison Hidayat, Kamelia; Fernandes, Adji Achmad Rinaldo; Iriany, Atiek; Solimun, Solimun; Hidayatulloh, Moh. Zhafran; Junianto, Fachira Haneinanda
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.37218

Abstract

Waste generation exceeding landfill capacity highlights the urgency of realizing its economic value. This study analyzes the effect of Quality of Facilities and Infrastructure (X1) and Use of Waste Banks (X2) on Waste Management-Based 3R (Y1) and Waste Economic Value Utilization (Y2) using a truncated spline nonparametric path model. This study evaluates the performance of a nonparametric path analysis model based on truncated spline combined with a double resampling. Data were collected using a Likert scale questionnaire on community perceptions of waste’s economic benefits in Batu City. Simulation results show that the Jackknife-Bootstrap method achieves the lowest average bias (0.058), outperforming single resampling approaches such as Single-Bootstrap (0.178) and Single-Jackknife (0.176). Empirical findings indicate that improvements in the Quality of Facilities and Infrastructure  (X1) and Waste Bank Use (X2) significantly enhance Waste Management Based 3R (Y1) and Utilization of Waste Economic Value (Y2). The truncated spline model reveals a saturation effect, where the marginal benefits of X1 and X2 decrease beyond a threshold. Furthermore, Y1 positively affects Y2, emphasizing the importance of efficient waste management in enhancing economic value. The results support policies promoting balanced infrastructure development, community empowerment, and institutional innovation for sustainable circular economy implementation.
Automatic Detection of Cabbage Pest Attacks Based on Leaf Images with Machine Learning Approach Ni Wayan Surya Wardhani; Prayudi Lestantyo; Atiek Iriany; Nur Silviyah Rahmi
International Journal of Informatics Engineering and Computing Vol. 3 No. 1 (2026): International Journal of Informatics Engineering and Computing
Publisher : ASTEEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70687/3szcd282

Abstract

Farmers in cabbage farming face many problems, one of which is pest attack. Plutella xylostella L. is a major pest on cabbage (known as cabbage leaf caterpillar) which can cause a decrease in production of up to 100 percent. Decision Support System (DSS) was developed to classify the attack rate of Plutella to reduce the negative effects of using various types of high doses of pesticides and short spraying intervals but causing residual effects and killing natural enemies. DSS has a role in helping farmers to make decisions regarding the time of pesticide treatment needed to minimize negative effects and increase productivity. In this study, DSS was developed to detect damage to cabbage (Brassica oleracea L) crops so that farmers can determine pesticide doses and spraying intervals based on a website. The results of the system is presented in the form of images and the percentage of damage to cabbage plants. Therefore, the CART method can be used to analyze the level of damage to plants that are attacked by pests.
PELATIHAN DAN PRAKTIK PEMBUATAN PUPUK ORGANIK DARI KOTORAN HEWAN DI DESA BOCEK, KABUPATEN MALANG Iriany, Atiek; Ridlo, Mahmuddin; Setiawan, Adi; Waziiroh, Elok; Widodo, Agung Sugeng; Ariyanto, Danang
Journal of Community Empowerment Vol 4, No 3 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v4i3.36738

Abstract

ABSTRAKPetani kopi di wilayah Gunung Arjuna, Desa Bocek, Kecamatan Karangploso, Kabupaten Malang menggunakan pupuk kimia untuk perawatan tanaman, karena faktor kemudahan mendapatkan pupuk kimia. Sementara, UD. Kopi Java Indonesia merupakan roaster kopi yang berperan sebagai buyer hasil panen kopi lereng Gunung Arjuna memiliki kebutuhan kualitas produk green bean tersertifikasi organik untuk pasar ekspor. Melalui Program Doktor Mengabdi Pengembangan Kemitraan (DM-PK), Direktorat Riset dan Pengabdian kepada Masyarakat Universitas Brawijaya (DRPM UB) menyelenggarakan pendampingan pertanian organik dan keberlanjutan (sutainability). Tujuan kegiatan adalah meningkatkan kesiapan petani kopi dalam sertifikasi organik dengan pelatihan dan praktik pembuatan pupuk organik dari kotoran hewan. Petani kopi sejumlah 20 orang dan 1 orang pemilik roster kopi menjadi mitra DM-PK. Metode kegiatan terdiri dari pelatihan sertifikasi organik, praktik pembuatan pupuk organik dari kotoran hewan dan evaluasi kesiapan implementasi kopi organik. Mitra kegiatan DM-PK UB terdiri dari 20 petani kopi lereng Arjuna dan 1 roaster kopi. Waktu pelaksanakan kegiatan DM-PK UB pada bulan Oktober dan November 2025 di CV Kopi Java Indonesia, Desa Bocek, Karangploso, Malang. Penjelasan materi diikuti praktik secara langsung oleh petani memerikan manfaat dan dapat meningkatkan kesiapan sertifikasi kopi organik. Hasil evaluasi dengan nilai overall 4.1 menunjukkan petani kopi lereng Gunung Arjuna “Siap” untuk implementasi kopi organik.Kata kunci: Kopi; Pupuk; Organik; Pelatihan.ABSTRACTCoffee farmers in the Mount Arjuna area, Bocek Village, Karangploso District, Malang Regency, use chemical fertilizers for plant care due to the ease of obtaining them. Meanwhile, UD. Kopi Java Indonesia, a coffee roaster that acts as a buyer for coffee harvests from the slopes of Mount Arjuna, needs quality organically certified green beans for the export market. Through the Doctoral Program for Partnership Development (DM-PK), the Directorate of Research and Community Service at Brawijaya University (DRPM UB) provides assistance in organic farming and sustainability. The objective of the activity is to improve the readiness of coffee farmers for organic certification through training and practice in making organic fertilizer from animal manure. Twenty coffee farmers and one coffee roster owner are DM-PK partners. The activity method consists of organic certification training, practice in making organic fertilizer from animal manure, and evaluation of readiness for implementing organic coffee. DM-PK UB's partners consist of 20 coffee farmers from the slopes of Arjuna and one coffee roaster. The DM-PK UB program will be implemented in October and November 2025 at CV Kopi Java Indonesia, Bocek Village, Karangploso, Malang. The material will be explained, followed by hands-on practice by farmers, highlighting the benefits and improving readiness for organic coffee certification. The evaluation results, with an overall score of 4.1, indicate that coffee farmers on the slopes of Mount Arjuna are "Ready" for organic coffee implementation. Keywords: Coffee; Fertilizer; Organic; Training.
Co-Authors Achmad Efendi Adji Achmad Rinaldo Fernandes Agung Sugeng Widodo Agus Dwi Sulistyono, Agus Dwi Alim, Viky Iqbal Azizul Amanda, Devi Veda Ani Budi Astuti Aniek Iriany Arditama Putra Rochmanullah Arianto, Danang Arifin Noor Sugiharto Aris Subagiyo Asaliontin, Lisa Ashari, Ayu Aisyah Ayunda Sovia, Nabila 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 Elok Waziiroh Eni Sumarminingsih Faddli Lindra Wibowo Fernandes, Adji Fernandes, Adji Achmad Rinaldo Firdaus, Cahyani Jannah Fudianita, Citra Hamdan, Rosita Haneinanda Junianto, Fachira Hartawati, Hartawati Heni Kusdarwati Henny Pramoedyo Hidayat, Kamelia Hidayatulloh, Moh. Zhafran Indrayani, Fahmi Iwan Setiawan Junianto, Fachira Haneinanda Kamelia Hidayat Khoiril Anam, Khoiril Maghfiro, Maulidya Maghfiro, Maulidya Maisaroh, Ulfah Marhen Andan Prasetyo Mellysa Isnaini Moh. Zhafran Hidayatulloh 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 Nur Silviyah Rahmi Oktavia , Nur Sofi Sely Ola, Petrus Kanisius Pramaningrum, Dea Saraswati Prayudi Lestantyo Putra, Arditama Putri, Henida Ratna Ayu Rahma Fitriani Ridlo, Mahmuddin Rinaldo Fernandes, Adji Achmad Riza, Sativandi Rosyida, Diana Rudiat Sekarsari, Cindy Sepriadi, Hanifa Solimun Solimun Solimun Solimun, Solimun Suci Astutik Sugiarto S Sukamto, Ika Sumiyarsi 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