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All Journal AGRIEKONOMIKA Agridevina : Berkala Ilmiah Agribisnis Jurnal Teknologi Informasi dan Ilmu Komputer Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah RESPATI Jurnal Abdi Insani Nusantara Science and Technology Proceedings Jurnal Ilmiah Wahana Pendidikan Agrimansion: Agribusiness Management & Extension Jurnal Agro Dedikasi Masyarakat (JADM) AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Jurnal Ilmiah SOSIO AGRIBIS Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo ITIJ Nanggroe: Journal of Scholarly Service Agroland: Jurnal Ilmu-ilmu Pertanian Jurnal Ilmiah Manajemen Agribisnis
Harya, Gyska Indah
Department Of Agribusiness, Faculty Of Agriculture, Universitas Pembangunan Nasional “Veteran” Surabaya, East Java
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Other

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Analisis Peramalan Permintaan Produk dengan Algoritma Backpropagation Neural Network Pada PT Herba Emas Wahidatama Karlina Jati, Putri; Wahyuning Laily, Dona; Harya, Gyska Indah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 6: Desember 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025126

Abstract

PT Herba Emas Wahidatama menghadapi tantangan dalam permasalahan stok yang tidak seimbang, seperti kelebihan dan kekurangan stock akibat dari permintan yang bervariasi, mulai dari produk dengan permintaan tinggi (fast moving), permintaan stabil (reguler), dan permintaan rendah (slow moving). Untuk mengtasi permasalahan tersebut digunakan metode peramalan permintaan produk dengan algoritma backpropagation neural network dengan data historis permintaan tahun 2021 – 2023. Hasil peramalan menunjukkan bahwa model algoritma backpropagation neural network memiliki akurasi dengan nilai MAPE yang rendah dan efektifitas peramalan yang baik. namun permintaan produk tinggi dan rendah dapat di prediksi dengan sangat akurat. Hasil ini menunjukkan bahwa algoritma backpropagationn neural network dapat digunakan untuk meramalkan permintaan yang lebih akurat dan memebnatu perusahaan dalam mengatur persediaan secara efisien dan menghindari kekurangan atau kelebihan stock.   Abstract PT Herba Emas Wahidatama faces challenges related to unbalanced stock, including excess and shortages, due to varying demand. This demand ranges from products with high demand (fast-moving), to stable demand (regular), and low demand (slow-moving). To overcome this issue, a product demand forecasting method is employed using the backpropagation neural network algorithm, which utilizes historical demand data from 2021 to 2023. The forecasting results indicate that the backpropagation neural network algorithm model demonstrates accuracy with a low MAPE value and good forecasting effectiveness. However, both high and low product demand can be predicted with great accuracy. These results suggest that the backpropagation neural network algorithm can be used for more accurate demand forecasting and can help companies manage inventory efficiently, avoiding shortages or excess stock.
Saluran Pemasaran Cabai Rawit di Desa Pucuk Kecamatan Dawarblandong Kabupaten Mojokerto Nandika, Septiyan Dwiki; Mubarokah, Mubarokah; Harya, Gyska Indah
JURNAL PERTANIAN Vol 16, No 3 (2025): Jurnal Ilmiah Respati
Publisher : Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jir.v16i3.6421

Abstract

Bird’s eye chili is a high-value horticultural commodity and plays a significant role in supporting farmers' income. Pucuk Village, Dawarblandong District, Mojokerto Regency, is one of the main production areas with high productivity. However, farmers in this area still face marketing issues, particularly long distribution channels and limited access to market price information. This study aims to identify the marketing channels of bird’s eye chili, calculate marketing costs and margins, and analyze efficiency and farmer’s share in each channel. Data were collected from 50 farmers and 14 traders selected purposively. Quantitative analysis was conducted using formulas for margin, marketing costs, efficiency, and farmer’s share. The results revealed three marketing patterns: (1) farmer – retailer –consumer, (2) farmer–collector–retailer–consumer, and (3) farmer–wholesaler–collector – retailer–consumer. The first channel had the highest efficiency and a farmer’s share above 80%. In contrast, the longest channel provided higher margins for intermediaries but reduced the share received by farmers. In conclusion, shorter marketing channels are more efficient and beneficial for farmers. Therefore, strengthening farmer institutions and improving direct access to markets are essential to shorten the distribution chain.
Peran Penyuluh Pertanian Dalam Mendampingi Petani Padi Menggunakan Mesin Combine Harvester Pada Masa Panen Di Desa Kenep, Kecamatan Balen, Kabupaten Bojonegoro Mahardika, Serly Bella; Fitrasha, Firda Laksmi; Noviputri, Yoanna Travellina; Samsiyah, Vita Nur; Maliha, Amanda; Aura, Ananda Shafiyah Khansa; Harya, Gyska Indah
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 1.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sektor pertanian Indonesia memiliki potensi yang besar, mengingat negara ini adalah negara agraris terutama dalam produksi padi yang menjadi komoditas unggulan sebagai sumber pangan. Penggunaan teknologi pertanian modern berupa Combine Harvester bertujuan untuk meningkatkan efisiensi keseluruhan dalam sektor pertanian khususnya komoditas padi. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui observasi lapangan, wawancara mendalam, dan dokumentasi. Temuan penelitian mengungkapkan bahwa penyuluh pertanian memegang peranan krusial sebagai pendidik, penyedia informasi, serta fasilitator. Dalam perannya sebagai pendidik, penyuluh memberikan pembinaan dan pelatihan praktis kepada petani terkait penggunaan Combine Harvester. Sebagai sumber informasi, penyuluh menyampaikan berbagai informasi terkini mengenai teknologi pertanian, prosedur peminjaman alat, hingga mekanisme penyerapan hasil panen. Sedangkan sebagai fasilitator, penyuluh membantu memperlancar komunikasi antara petani dan instansi pertanian serta mendampingi proses peminjaman dan pemantauan penggunaan alat.
Co-Authors Alam, Fajar Indra Nur Arsita, Rita Vita Athillah, Zaidan Akmal Aura, Ananda Shafiyah Khansa Cholid Fadil Damayanti, Lucky Dara, Salsabila Arysca Diamonds, Gabriella Pusparini Tasya Patricya Dian Puspitasari Dita Atasa Dona Wahyuning Laily Eko Nurhadi Fahruddin, Khabib Fitranto, Deyon Yanuar Fitrasha, Firda Laksmi Gideon Setya Budiwitjaksono Gifani, Jenny Amelia Hariati, Hariati Ida Syamsu Roidah Idhoh Fitriana, Nisa Hafi Iftikhor, Gevyma Tharis Inti, Ristani Widya Karlina Jati, Putri Khairani, Fahril Laili Khawarizmi, Muhammad kusumastuti, erwin kusumastuti Kusumastuti3, Erwin Laksono, Heksa Budi Luluk Edahwati Mahardika, Serly Bella Mahiro, Septiana Dina Maliha, Amanda Mardika, Anggita Marinda, Ghin Uzdah Mubarokah Mubarokah Naldi, Brian Pikto Nandika, Septiyan Dwiki Noviputri, Yoanna Travellina Nugroho, Sofyan Dwi Nuriah Yuliati Patiung, Markus Pawana Nur Indah Pramesti, Anselma Abistha Prasetyo, Fitriano Prasetyo, Rachmad Dwi Pratama, Arista Putri, Alifah Rafidah Rusyda, Ahmad Naufal Samsiyah, Vita Nur Santoso, Wahyu Sisyawati, Raniasani Sri Widayanti Sudiyarto Sudiyarto Sudiyarto Syarif Imam Hidayat Utama, Nugraha Maulana Wachidan, Mochammad Wisnu Wahyu Dwi Lestari Wahyu Santoso Wahyuningrum, Widya Wanti Mindari Wibowo, Daniel Ivandha Putra Widayanti , Sri Wikarsa, Ommar Galih