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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1175.267 KB) | DOI: 10.21776/ub.jels.2018.008.02.01

Abstract

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
Evaluating Double Resampling through Simulation and Application in Semiparametric Truncated Spline for Waste Economic Value Kamelia Hidayat; Adji Achmad Rinaldo Fernandes; Atiek Iriany; Moh. Zhafran Hidayatulloh
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 3 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i3.26773

Abstract

This study developed a double resampling procedure as a method for estimating standard error in truncated spline semiparametric path modeling, given that standard error cannot be obtained analytically. Primary data were collected from 100 respondents through a Likert scale questionnaire and analyzed using a path structure involving Facility and Infrastructure Quality and Waste Bank Participation have a significantly positive effect on 3R-Based Waste Management Practices and the Waste Economic Value . The modeling process involved selecting knots, estimating spline functions, and evaluating double resampling performance through simulation studies. The results showed that and had a significant positive effect on and , while the relationship between and was negative before and after the 21% threshold. The simulation study shows that the Jackknife-Bootstrap method produces lower standard errors and bias, while the Bootstrap-Jackknife method is more stable at very small sample size. These findings confirm the effectiveness of double resampling.
Robust PCA Using MCD and MM Estimators in MARS A Simulation Study Uswatun Hasanah; Solimun Solimun; Atiek Iriany
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 2 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i2.41547

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Multivariate Adaptive Regression Splines (MARS) models nonlinear relationships through adaptive basis functions but remain sensitive to outliers in the predictor variables. Existing robust extensions of MARS primarily address response outliers, while the few studies integrating Robust Principal Component Analysis (RPCA) with MARS use RPCA only for dimension reduction without comparing robust estimators. This study evaluates RPCA as a robust predictor transformation and systematically compares two robust covariance estimatorsthe Minimum Covariance Determinant (MCD) and the MM-estimatorwithin the RPCA-MARS framework. A full factorial simulation with 100 replications per condition covered 45 conditions: five sample sizes (n = 50, 100, 200, 500, 1000), three outlier proportions (5%, 10%, 25%), and three MARS interaction levels (1, 2, 3) with eight predictor variables. Outliers were extreme values in a specified proportion of predictor observations. Performance was measured by Root Mean Square Error (RMSE). For analysis, the 45 conditions were collapsed into 15 scenarios by selecting the interaction level with the minimum RMSE for each sample size and outlier proportion. The MM estimator outperformed the MCD estimator in 8 of 15 scenarios, achieving lower RMSE under moderate-to-high outlier contamination (10%25%) with moderate sample sizes (n = 100500). MCD performed better in the remaining 7 scenarios: under low contamination (5%) at n 200 and n 1000, and across all contamination levels at n = 1000. MCD showed higher variability at small samples with moderate-to-high contamination, while MM produced tighter confidence intervals and lower standard deviations. Within the RPCA-MARS framework, MM is recommended for moderately sized, highly contaminated data, while MCD is preferable under low contamination or in large-scale settings.
A Multiscale Extension of Geographically Weighted Spline Nonparametric Regression: Model Formulation and Theoretical Properties Indi Rizqy Fahrani; Henny Pramoedyo; Atiek Iriany
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 2 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i2.42954

Abstract

This study proposes a Multiscale Geographically Weighted Spline Nonparametric Regression (MS-GWSNR) model to simultaneously accommodate spatial heterogeneity, multiscale spatial variation, and nonlinear relationships within a unified regression framework. The proposed model extends Geographically Weighted Spline Nonparametric Regression (GWSNR) by incorporating component-specific bandwidths adapted from the Multiscale Geographically Weighted Regression (MGWR) approach. Parameter estimation is developed using a Weighted Least Squares (WLS) framework combined with a backfitting algorithm to address the absence of a closed-form estimator under multiple spatial weighting matrices. The theoretical properties of the estimator are derived through a smoothing matrix representation, including unbiasedness, variance, and Mean Squared Error (MSE). A numerical illustration using simulated spatial data with controlled multiscale heterogeneity shows that the proposed estimator converges stably within 12 iterations, with a final smoothing operator convergence value of 2.48 × 10−5. The estimation also yields satisfactory reconstruction accuracy with MAE of 0.0680 and RMSE of 0.0880. These results indicate that the proposed MS-GWSNR model can flexibly reconstruct nonlinear spatial relationships across different spatial scales while maintaining stable estimation performance.
Nonparametric Path Modeling with Double Resampling for Waste Economic Value Utilization: Simulation-Based Performance Comparison Kamelia Hidayat; Adji Achmad Rinaldo Fernandes; Atiek Iriany; Solimun Solimun; Moh. Zhafran Hidayatulloh; Fachira Haneinanda Junianto
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of 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.
Introduksi Budidaya Komoditas Jagung Hibrida dan Kacang Hijau di Kabupaten Malaka Arifin Noor Sugiharto; Atiek Iriany; Wigbertus Ngabu; Muhamad Ridwan; Khoiril Anam
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.
Co-Authors Achmad Efendi Achmad Efendi Adji Achmad Rinaldo Fernandes Adji Achmad Rinaldo Fernandes Agung Sugeng Widodo Agus Dwi Sulistyono, Agus Dwi Amanda, Devi Veda Ani Budi Astuti Aniek Iriany Arditama Putra Rochmanullah Arianto, Danang Arifin Noor Sugiharto Aris Subagiyo Asaliontin, Lisa Bambang Dwi Argo Bestari Archita Safitri Brenda Rahmahdania Budi Astuti, Ani Candra Rezzining Wulat Sariro Weni Utomo Cecep Kusmana Chairunissa, Abela Danang Ariyanto Danang Ariyanto David Forgenie Devi Veda Amanda Dewi, Anggi Seftia Dhanny Septimawan Sutopo Elok Waziiroh Eni Sumarminingsih Fachira Haneinanda Junianto Faddli Lindra Wibowo Fernandes, Adji Fernandes, Adji Achmad Rinaldo Firdaus, Cahyani Jannah Fudianita, Citra Hamdan, Rosita Haneinanda Junianto, Fachira Hartawati, Hartawati Henida Ratna Ayu Putri Henny Pramoedyo Henny Pramoedyo Husna Atikah Indi Rizqy Fahrani Indrayani, Fahmi Kamelia Hidayat Khoiril Anam KIKI FIBRIANTO Maghfiro, Maulidya Maghfiro, Maulidya Maisaroh, Ulfah Marhen Andan Prasetyo Mellysa Isnaini Moh. Zhafran Hidayatulloh Muhamad Firdaus Muhamad Ridwan Nabila Ayunda Sovia 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 Sofi Sely Oktavia Ola, Petrus Kanisius Pramaningrum, Dea Saraswati Putra, Arditama 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 Susinggih Wijana Sutopo, Dhanny Septimawan Taufiq Ismail Ullah, Mohammad Ohid Uswatun Hasanah Viky Iqbal Azizul Alim Waego Hadi Nugroho Wardhani, Ni Wayan Surya Wigbertus Ngabu Wulandari, Eka Shinta Yuliana, Mila