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All Journal Jurnal Optimasi Sistem Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri JURNAL REKAYASA SISTEM INDUSTRI Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan INVENTORY : Industrial Vocational E-Journal On Agroindustry Andalasian International Journal of Applied Science, Engineering, and Technology AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment)
Dicky Fatrias
Universitas Andalas
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Model Hubungan Antar Pemangku Kepentingan dalam Koordinasi Penanganan Bencana di Kota Padang Dicky Fatrias; Ringga Sri Rahayu Agustia
Jurnal Optimasi Sistem Industri Vol. 18 No. 1 (2019): Published April 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.439 KB) | DOI: 10.25077/josi.v18.n1.p48-54.2019

Abstract

Padang, capital of West Sumatera, is one of a disaster-prone area in Indonesia which was impacted the most by 2009 earthquake disaster. After seven years passed, The Regional disaster management agency of West Sumatra stated that the coordination between relevant government agencies in disaster management was still lacking. Associated with such issue, this research proposes to model an appropriate stakeholder’s coordination scheme based on the concept of 3PR (public, private, and people relationship). After all candidates of stakeholder are considered, a successful indicators of disaster response are identified. Using fuzzy AHP, the indicators were weighted based on their relative importance, and the traffic light system was applied to screen the weighted indicators. Finally, the role of each stakeholder was then identified and charted using the interpretive structural model (ISM). The proposed relationship model in disaster management coordination in Padang City consists of two levels. The first level consists of five stakeholders, namely Semen Padang, Insurance, Muhammadiyah, LPP TVRI, and Andalas University. The second level consists of three stakeholders, namely BPBD Kota Padang, Padang City Social Service and Padang City Health Office. Based on the above mapping, public sectors hold the biggest responsibility in the coordination of disaster management while the private sector and people as a supporter in the success of disaster management activities in the city of Padang
Pendekatan Machine Learning untuk Menganalisis Faktor-Faktor yang Berkontribusi Terhadap Kesalahan Pengkodean ICD-10 di Semen Padang Hospital Rury Moryanda; Nurul Abdillah; Denos Imam Fratama; Dicky Fatrias
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 3 (2026): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i3.6775

Abstract

ICD-10 coding errors remain a major challenge in healthcare facilities, affecting the validity of morbidity data, the accuracy of BPJS Kesehatan claims processing, and the quality of health information management. This study aimed to identify the main factors contributing to ICD-10 coding errors and evaluate the effectiveness of machine learning algorithms in detecting such errors. Electronic medical record data were analyzed through data cleaning, preprocessing, descriptive analysis, and machine learning modeling. Three algorithms were applied: Random Forest, Support Vector Machine (SVM), and Neural Network. Model performance was evaluated using accuracy, precision, and sensitivity metrics. The findings revealed an ICD-10 coding error rate of 33.8%, primarily caused by nonspecific diagnoses and insufficient clinical information. Among the tested models, the Neural Network achieved the highest accuracy (72%), followed by SVM (68%) and Random Forest (60%). These results suggest that machine learning techniques can effectively support the early detection of ICD-10 coding errors and enhance the quality of health data management. The adoption of machine learning–based predictive models may improve coding accuracy and facilitate evidence-based decision-making in health information management.
Analytical Study of Trends in Measuring Sustainability Performance and Indexes Harpito Jasri; Insannul Kamil; Dicky Fatrias; Feri Afrinaldi; Alexie Herryandie B.A
JTI: Jurnal Teknik Industri Vol 10 No 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v10i2.33779

Abstract

Sustainability was a crucial underpinning for addressing and mitigating the impacts of climate change. It was not only considered a moral responsibility but also a key element in building a sustainable future. The measurement of sustainability index and performance played a very important role in various sectors because it provided an objective basis for evaluating the economic, social, and environmental impacts of a company or organization's activities. Various sectors needed to play a key role through the implementation of integrated sustainability activities, including efforts to reduce pollution, utilize resources efficiently, increase engagement with communities as stakeholders, and ensure sustainable economic progress. This study aimed to explore and analyze the trend of measuring sustainability index and performance that were developing from various relevant literature through a systematic literature review. The method used in this study was a systematic literature review by adopting the PRISMA-P stages. The PICOS Framework was used in compiling inclusion and exclusion criteria. The PRISMA-P 2020 protocol was employed in the screening process, and VOSviewer was used in the bibliometric analysis. Based on the analysis, it was concluded that research related to sustainability in the higher education and construction project sectors was important to explore further. The most popular method used was the mixed method, while observation and questionnaires were the most widely used data collection methods.Keywords: sustainability, index measurement, performance measurement, systematic literature review. 
The Effect of Halal Supply Chain Management on the Sustainability Performance of Food SMEs in Padang City Leidina Zein; Nilda Tri Putri; Alizar Hasan; Rika Ampuh Hadiguna; Dicky Fatrias; Dina Rahmayanti
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 3 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i3.1293

Abstract

This study examines the impact of Halal Supply Chain Management (HSCM) on the sustainability performance of food SMEs in Padang City, evaluating consumer trust as a mediator and Lean Green Practices as a moderator. Driven by low halal certification rates despite rising consumer demand for halal and sustainable products, data were collected from food SME owners using a survey method and analyzed via PLS-SEM.The results reveal that HSCM does not directly affect sustainability performance. However, consumer trust fully mediates this relationship, demonstrating that HSCM drives sustainability performance by fostering consumer confidence in halal integrity and quality. Additionally, Lean Green Practices do not significantly moderate the relationship between HSCM and sustainability performance. Overall, the findings emphasize the necessity for SMEs to build consumer trust and adopt eco-efficient operational strategies to ensure long-term business sustainability. Contribution to SDGs: SDG 3: Good Health and Well-beingSDG 8: Decent Work and Economic GrowthSDG 9: Industry, Innovation and InfrastructureSDG 12: Responsible Consumption and ProductionSDG 16: Peace, Justice and Strong Institutions
Co-Authors Abrar, Rivandy Afri Adnan Afrinaldi, Feri Ahmad S. Indrapriyatna Ahmad S. Indrapriyatna Ahmad Syafruddin Alexie Herryandie B.A Alexie Herryandie Bronto Adi Alfadhlani Alizar Hasan Alizar Hasan Amrina, Elita Armijal Armijal Asmuliardi Muluk Aulia Sri Dharma Nova Denos Imam Fratama Desto Jumeno Difana Meilani Dina Rahmayanti Elita Amrina Eri Wirdianto Ferry Jie Harpito Jasri Henmaidi Henmaidi Henmaidi Henmaidi Hilma Raimona Zadry Ikhwan Arief Irna Ekawati Jonrinaldi Kamil, Insannul Leidina Zein Lusi Susanti Monalisa Gusti Monalisa Gusti Nabila Humaida Nilda Tri Putri Nilda Tri Putri Nofriani Fajrah, Nofriani Nurul Abdillah Prima Fithri reinny patrisina Rika Ampuh Hadiguna Rika Ampuh Hadiguna Ringga Sri Rahayu Agustia Rury Moryanda Taufik Taufik Tri Putri, Nilda Wisnel Wisnel Yumi Meuthia Yumi Meuthia