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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.
Sosialisasi Pentingnya Promosi Sekolah Guna Meningkatkan Jumlah Siswa di Era Pandemi Covid-19 Iing Pamungkas; Heri Tri Irawan; Nissa Prasanti; Sofiyanurriyanti Sofiyanurriyanti; Khairul Hadi; Adib Adib; Abdiel Khaleil Akmal; Risnadi Irawan; Kasmawati Kasmawati
Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar Vol 4, No 2 (2022): Juli-Desember
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/baktiku.v4i2.4528

Abstract

Community service activities are a medium for delivering science and technology to the community. This community service is carried out by a lecturer in the Department of Industrial Engineering, Faculty of Engineering, Teuku Umar University. The theme of this community service is the importance of promoting schools in order to increase the number of students during the COVID-19 pandemic. The purpose of this community service is to provide an overview to the foundation about the importance of introducing the profile of the foundation to the surrounding community, and as an effort to increase the number of new students at the Makmue Raya Foundation. Participants in this community service are foundation administrators, teachers and students of Madrasah Aliyah (MA) and Madrasah Tsanawiyah (MTs) under the auspices of the Makmue Raya foundation, totaling 83 people. Community service participants participated in the socialization in the form of lectures, discussions and questions and answers about the importance of school promotion during the COVID-19 pandemic. The output of this community service is as basic knowledge about school promotion to foundations, and can introduce school promotion methods during the covid-19 pandemic to foundations.
Optimalisasi Kualitas Layanan UMKM Sepatu Bungah Menggunakan SERVQUAL dan TOPSIS dengan Pendekatan Rekayasa Nilai Silvana Mohamad; Moh. Ainul Fais; Dedy Kunhadi; Sofiyanurriyanti
JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 9 No. 2 (2026): April
Publisher : Industrial Engineering, Engineering of Faculty, Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jatiunik.v9i2.7150

Abstract

The increasingly competitive footwear MSME business environment requires business owners to improve service quality while maintaining customer satisfaction and loyalty. However, many MSMEs still face challenges related to response speed, service consistency, and personal communication. This study aims to analyze the service quality of footwear MSMEs in Bungah District using the SERVQUAL, Value Engineering, and TOPSIS approaches to determine priority strategies for service improvement. The study employed a quantitative method involving 70 customers of footwear MSMEs. The results showed that the average SERVQUAL gap was −0.75, indicating that service quality had not yet met customer expectations. The responsiveness dimension became the most critical aspect with a gap value of −1.25, followed by empathy at −1.00, while reliability had a gap of −0.60. These findings indicate that customers highly demand fast, responsive, and personalized services. Based on value engineering analysis, the service functions that contributed most significantly to quality improvement were rapid response, service accuracy, and customer communication. Furthermore, the TOPSIS method identified WhatsApp Business implementation as the top priority strategy for improving response speed, with a preference value of 0.78, followed by production and delivery scheduling with a value of 0.72. This study contributes to the development of MSME service quality improvement strategies that are more systematic, measurable, and customer-oriented.