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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Sentosa, Rio Bayu
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Social Sciences

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Machine Learning to Identify Monkey Pox Disease Aldi, Febri; Nozomi, Irohito; Sentosa, Rio Bayu; Junaidi, Ahmad
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12524

Abstract

In May 2022, it has received by WHO reports from non-endemic countries on cases of monkey pox disease. Monkey pox is a rare zoonotic disease caused by infection with the monkeypox virus that belongs to the genus orthopoxvirus and the family poxviridae, and also the variola virus. This study aims to classify patients who have contracted the monkey pox virus. We modeled an analysis of monkey pox disease and conducted comparisons utilizing a dataset from Kaggle consisting of a CSV file with records for 25,000 patients. The monkey pox dataset was analyzed using the correlation coefficient and the number of target variables. Machine learning (ML) methods are used for classification by utilizing the K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Gradient Boosting (GB) algorithms. This study resulted in the highest classifier Gradient Boosting (GB) algorithm with an accuracy value of 71%. then the accuracy obtained by Support Vector Machine (SVM) is 69%, Random Forest (RF) accuracy is 68%, and finally K-Nearest Neighbor (KNN) obtains 63% accuracy. This ML method is expected to analyze monkey pox disease so that it helps the country and government, especially the health field in assessing, identifying, and being able to take appropriate action against monkey pox disease.
Perancangan Berorientasi Objek pada Pembangunan Aplikasi Pemasaran dan Pengolahan Ikan Gusriva, Revi; Sentosa, Rio Bayu; Randa, Dimas Dwi
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.432

Abstract

The development of information technology has made significant contributions to various fields, including the fishing industry. The Marine and Fisheries Office of West Sumatra Province, particularly in the Field of Enhancing Marine and Fisheries Competitiveness, requires an effective and efficient fish marketing and processing application to improve the competitiveness and productivity of fishermen in West Sumatra. This study aims to design a fish marketing and processing application using an object-oriented approach. This approach is chosen for its ability to model systems more naturally and intuitively, as well as facilitate system maintenance and future development. In the design of this application, the Unified Modeling Language (UML) method is used to visualize the system design. UML provides a set of diagrams that can comprehensively depict the structure and behavior of the system. Some of the diagrams used include use case diagrams, class diagrams, and activity diagrams. This application is built based on the information needs regarding fish prices, ornamental fish, restaurants, fish exports, and various fish products by the community, business actors, and the government, monitoring all fishery products online, and facilitating field officers in data entry.
SPK PENENTUAN PRIORITAS PENANGANAN STUNTING DI KECAMATAN X MENGGUNAKAN METODE MOORA Ananda, Lidya Rizki; Wijaya, Romi; Simatupang, Julianto; Ikhlas, Muhammad; Sentosa, Rio Bayu
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4969

Abstract

Abstract: Stunting mitigation is a critical public health issue demanding structured interventions, yet limited resources necessitate an objective determination of priority locations. This research aims to design a Decision Support System (DSS) to determine the priority order for stunting intervention across 11 sub-districts (kelurahan) in Kecamatan X. The Multi-Objective Optimization by Ratio Analysis (MOORA) method was employed, chosen for its stable capability in processing both Benefit and Cost criteria. The criteria evaluated include Stunting Prevalence Rate (Cost), Number of Toddlers (Benefit), and Posyandu Accessibility (Cost), as well as the Percentage of Proper Sanitation and Maternal Education (Benefit). The MOORA calculation yielded an optimization value for each sub-district. Based on the simulation results, [Sub-district 10] and [Sub-district 11] secured the highest ranks, indicating that these two areas are the most optimal and urgent for prioritization. This DSS provides quantitative recommendations that can assist policymakers in allocating budgets efficiently and precisely to accelerate stunting reduction in Kecamatan X.Keyword: Decision Support System (DSS), Stunting, Intervention Prioritization, MOORA Method (Multi-Objective Optimization by Ratio Analysis), Multi-Criteria Decision Making (MCDM).Abstrak: Penanganan stunting merupakan isu kesehatan masyarakat yang memerlukan intervensi terstruktur, namun keterbatasan sumber daya menuntut adanya penentuan prioritas lokasi yang objektif. Penelitian ini bertujuan merancang Sistem Pendukung Keputusan (SPK) untuk menentukan urutan prioritas intervensi penanganan stunting pada 11 kelurahan di Kecamatan X. Metode yang digunakan adalah Multi-Objective Optimization by Ratio Analysis (MOORA), dipilih karena kemampuannya memproses kriteria Benefit dan Cost secara stabil. Kriteria yang dievaluasi meliputi Angka Prevalensi Stunting (Cost), Jumlah Balita (Benefit), dan Aksesibilitas Posyandu (Cost), serta Persentase Sanitasi Layak dan Pendidikan Ibu (Benefit). Hasil perhitungan MOORA menghasilkan nilai optimasi untuk setiap kelurahan. Berdasarkan simulasi hasil, [Kelurahan 10] dan [Kelurahan 11] menduduki peringkat tertinggi, yang mengindikasikan bahwa kedua wilayah tersebut paling optimal dan mendesak untuk diprioritaskan. SPK ini memberikan rekomendasi kuantitatif yang dapat membantu pengambil kebijakan dalam mengalokasikan anggaran secara efisien dan tepat sasaran dalam upaya percepatan penurunan angka stunting di Kecamatan X.Kata kunci: Sistem Pendukung Keputusan (SPK), Stunting, Prioritas Penanganan, Metode MOORA, Multi-Criteria Decision Making (MCDM).
Co-Authors Ahmad Junaidi Febri Aldi Gusriva, Revi Muhammad Ikhlas nozomi, irohito Putra, Yeviki Maisyah Randa, Dimas Dwi Simatupang, Julianto Wijaya, Romi