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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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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. 2 No. 2 (2025): International Journal of Informatics Engineering and Computing [Preview]
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.
Evaluating Double Resampling through Simulation and Application in Semiparametric Truncated Spline for Waste Economic Value Hidayat, Kamelia; Fernandes, Adji Achmad Rinaldo; Iriany, Atiek; Hidayatulloh, Moh. Zhafran
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.
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.
ANALISIS SPASIAL TEMPORAL INDEKS KETAHANAN PANGAN MENGGUNAKAN GEOGRAPHICALLY TEMPORALLY WEIGHTED REGRESSION DAN KLASTER FUZZY DI NUSA TENGGARA TIMUR Iriany, Atiek; Ayunda Sovia, Nabila; Ngabu, Wigbertus; Ariyanto, Danang
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 3 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n3.p9-17

Abstract

Ketahanan pangan di Indonesia masih menghadapi tantangan serius akibat ketimpangan sosial-ekonomi dan infrastruktur antarwilayah yang berfluktuasi antarperiode. Provinsi Nusa Tenggara Timur (NTT) menjadi contoh nyata, dengan capaian Indeks Ketahanan Pangan (IKP) antar kabupaten/kota menunjukkan variasi signifikan pada periode 2018–2022. Penelitian ini bertujuan menganalisis pengaruh faktor sosial-ekonomi dan infrastruktur terhadap IKP dengan mempertimbangkan heterogenitas spasial-temporal. Metode yang digunakan adalah Geographically and Temporally Weighted Regression (GTWR) untuk menangkap dinamika pengaruh variabel pada dimensi ruang dan waktu, serta Fuzzy C-Means untuk mengelompokkan wilayah berdasarkan pola pembangunan. Hasil penelitian menunjukkan bahwa Angka Partisipasi Sekolah (APS) berpengaruh negatif signifikan terhadap IKP, PDRB per kapita berpengaruh positif meskipun terbatas, akses air minum layak berfluktuasi, sedangkan rasio elektrifikasi konsisten berpengaruh positif signifikan. Analisis Fuzzy C-Means menghasilkan tiga klaster utama: (1) wilayah dengan APS sedang dan IKP relatif tinggi, (2) wilayah dengan APS tinggi namun IKP menengah hingga rendah, dan (3) wilayah dengan APS rendah dan IKP rendah yang merepresentasikan daerah tertinggal. Temuan ini menegaskan bahwa pembangunan di NTT masih menghadapi ketimpangan spasial-temporal, sehingga kebijakan tidak dapat bersifat seragam melainkan harus disesuaikan dengan karakteristik lokal.
ALGORITMA DBSCAN DAN SHARED NEAREST NEIGHBOR DALAM PENGELOMPOKKAN SPASIAL PRODUKTIVITAS JERUK SIAM DI INDONESIA Oktavia , Nur Sofi Sely; Iriany, Atiek; Astuti, Ani Budi
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 3 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n3.p45-58

Abstract

Penerapan dua algoritma analisis density-based cluster, yaitu DBSCAN dan Shared Nearest Neighbor (SNN), dengan integrasi Principal Component Analysis (PCA) pada Produktivitas Jeruk Siam di Indonesia tahun 2023. Variabel yang digunakan terdiri dari 7 indikator jeruk siam, yaitu produktivitas (Ton/Pohon), produksi (Ton), pertumbuhan produksi (%), luas panen (Hektar), rata-rata suhu bulanan (°C), rata-rata kelembaban bulanan (%), dan rata-rata curah hujan bulanan (mm). Data yang digunakan merupakan data sekunder tahun 2023 yang diperoleh melalui publikasi BPS dan Kementerian Pertanian RI. Hasil penelitian menunjukkan bahwa SNN memiliki stabilitas pengelompokan yang lebih baik dibandingkan DBSCAN, dan penerapan PCA meningkatkan kinerja DBSCAN dan SNN. Model terbaik diperoleh dari SNN pada data PCA dengan tiga komponen utama (PC3), dengan Silhouette Coefficient sebesar 0,872. Algoritma ini menghasilkan 3 cluster, yaitu Cluster 0 mencakup 32 provinsi dengan skala produksi besar dan kondisi agroklimat yang beragam, Cluster 1 terdiri dari 3 provinsi dengan produksi kecil namun pertumbuhan sangat tinggi, sehingga terpisah dari sentra produksi utama, dan Cluster 2 mencakup 3 provinsi yang memiliki karakteristik lokal unik dengan skala produksi rendah hingga nol.
Co-Authors A. Fahmi Indrayani Achmad Efendi Adi Setiawan 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 Ayu Aisyah Ashari 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 Fernandes, Adji Achmad Rinaldo Firdaus, Cahyani Jannah Fudianita, Citra Hamdan, Rosita Haneinanda Junianto, Fachira Hartawati, Hartawati Henny Pramoedyo Henny Pramoedyo Hidayat, Kamelia Hidayat, Kamelia Hidayatulloh, Moh. Zhafran 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 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 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