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PEMBERDAYAAN MASYARAKAT GAMPONG TEUPIN PANAH MELALUI DIVERSIFIKASI HASIL TANI MENJADI USAHA SKALA RUMAHAN DALAM PELATIHAN PEMBUATAN KERUPUK GENDAR YANG BERNILAI EKONOMI Sofiyanurriyanti Sofiyanurriyanti; Mahmud Basuki; Marlinda Marlinda
Madiun Spoor : Jurnal Pengabdian Masyarakat Vol 6 No 1 (2026): April 2026
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/r167t895

Abstract

Diversifikasi produk merupakan salah satu strategi utama dalam mengurangi risiko ekonomi sekaligus mendorong pertumbuhan sektor pertanian. Sebagian besar hasil pertanian masyarakat di Gampong Teupin Panah masih berupa produk mentah sehingga belum memberikan nilai tambah yang optimal. Melalui program Pengabdian kepada Masyarakat, dilakukan pelatihan diversifikasi hasil tani yang ditujukan kepada ibu-ibu gampong, dengan fokus pada pengolahan sisa nasi menjadi kerupuk gendar. Kegiatan ini meliputi tahap sosialisasi, pelatihan, serta pendampingan produksi hingga menghasilkan produk siap jual. Keberhasilan program terlihat dari terciptanya inovasi produk baru berupa kerupuk berbahan dasar nasi sisa yang memiliki nilai ekonomi dan berpotensi menjadi produk unggulan desa. Hasil pelaksanaan menunjukkan peningkatan keterampilan peserta dalam mengolah hasil pertanian serta tumbuhnya peluang usaha rumah tangga baru. Dengan demikian, kegiatan ini tidak hanya berkontribusi terhadap pemberdayaan ekonomi masyarakat lokal, tetapi juga menjadi wujud nyata implementasi Tri Dharma Perguruan Tinggi dalam mendukung pembangunan desa yang berkelanjutan.
GIS-based hybrid AHP–random forest model for optimal waste transfer station siting: A case study Rizki Agam Syahputra; Sofiyanurriyanti Sofiyanurriyanti; Kasmawati Kasmawati; Risnadi Irawan; Mustafa Kamal; Putri Sarina Agustavia
Journal Industrial Servicess Vol 12, No 1 (2026): April 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v12i1.34731

Abstract

Rapid urbanization and post-disaster recovery in developing cities present significant challenges for municipal solid waste management, escalating operational costs and environmental burdens. The primary logistical bottleneck is often the inefficient placement of intermediate waste infrastructure. This study addresses this gap by proposing and validating a novel hybrid spatial decision support framework for the optimal siting of Temporary Waste Transfer Stations (TWTS) in Meulaboh, Indonesia. The framework integrates a Geographic Information System (GIS) with the Analytic Hierarchy Process (AHP) and a Random Forest (RF) machine learning model. AHP structures the problem using expert knowledge and local regulatory standards to generate an initial suitability map. To overcome AHP's linearity and subjectivity, this map generates pseudo-labeled data to train the RF model, which learns complex, non-linear relationships among spatial factors. The RF model demonstrated exceptional performance with an Area Under the Curve (AUC) of 0.96. The framework evaluated 43 villages (Gampong), identifying specific areas in Meureubo and Johan Pahlawan as top candidates due to favorable land use and proximity to road networks. This hybrid approach offers a robust, transparent, and scalable methodology for post-disaster urban infrastructure planning.
Integrasi AHP dan QFD dalam Penentuan Kualitas Bahan Baku Ayam untuk Mitigasi Risiko Supply Chain Silvana Mohamad; Moh. Ainul Fais; Sofiyanurriyanti Sofiyanurriyanti; Abdul Rasyid
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.15176

Abstract

This study aims to determine the priority of chicken raw material quality risks and formulate technical responses to support supply chain risk mitigation in restaurant operations. The research object was Restoran XYZ, Surabaya, which relies on chicken as its main raw material. This study used an integrated Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) approach. Primary data were collected through observation, interviews, and questionnaires involving restaurant stakeholders responsible for procurement, inspection, and processing of chicken raw materials. AHP was used to determine supply chain risk priorities, while QFD was used to translate quality attributes into technical responses through the House of Quality matrix. The AHP results show that the highest priority risk was chicken quality not meeting standards, with a weight of 0.422, followed by delayed delivery at 0.254, price mismatch at 0.162, inaccurate weighing at 0.104, and quantity mismatch at 0.059. The inconsistency ratio was 0.09, indicating acceptable pairwise comparisons. The QFD results show that the main quality attributes were chicken freshness, followed by feather cleanliness, cutting condition, and chicken weight. The main technical responses were worker training at 26.87%, rechecking weighing results at 22.39%, preparing delivery invoices at 22.39%, careful weighing at 17.91%, and scheduling raw material delivery at 10.45%. These findings show that integrating AHP and QFD can support structured decision-making by linking risk priorities with operational quality improvement. The results can be used to develop standard operating procedures for raw material acceptance, supplier evaluation, and supply chain risk mitigation.