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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JRTI (Jurnal Riset Tindakan Indonesia) Brahmana : Jurnal Penerapan Kecerdasan Buatan Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Sentosa, Rio Bayu
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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Perancangan sistem informasi penjadwalan angkutan penyebrangan lintas Padang - Mentawai di pelabuhan bungus berbasis framework codeigniter Putra, Yeviki Maisyah; Sentosa, Rio Bayu; Randa, Dimas Dwi
JRTI (Jurnal Riset Tindakan Indonesia) Vol 7, No 3 (2022): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1199.659 KB) | DOI: 10.29210/30032018000

Abstract

Pemerintah Provinsi Sumatera Barat mulai menerapkan Sistem Pemerintahan Berbasis Elektronik (SPBE) di semua lini perangkat daerah, terutama untuk menunjang kebutuhan informasi dan komunikasi yang ada pada lingkup Provinsi Sumatera Barat, serta mewujudkan tata kelola pemerintahan dan pelayanan publik yang bersih, efektif, efisien, akuntabel dan terpercaya. Salah satu Organisasi Perangkat Daerah yang membutuhkan sistem informasi dalam menunjang pekerjaannya adalah Dinas Perhubungan Provinsi Sumatera Barat, khususnya untuk angkutan penyebrangan di pelabuhan Bungus. Selama ini informasi yang didapatkan oleh masyarakat mengenai jadwal keberangkatan dan kedatangan kapal Padang munuju Mentawai atau sebaliknya hanya bisa didapatkan dengan datang langsung ke Pelabuhan Bungus. Dengan kondisi yang masih bersifat manual dalam pemrosesan informasi penjadwalan kapal, maka dibuatlah sebuah aplikasi berbasis online yang menggunakan metode waterfall dalam menganalisa alur sistem didalamnya, serta bahasa pemrograman php dan Framework Code Igniter. Dalam membangun struktur perancangan system berorientasi objek, pemodelan yang digunakan yaitu Unified Modelling Language (UML) dan memakai database MySQL untuk penyimpanan data. Sehingga seluruh data yang sudah dientrikan oleh operator tersimpan aman di dalam database. Pengimplementasian dari aplikasi yang di bangun memudahkan operator dalam mengentrikan data penjadwalan kapal Padang dan Mentawai
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.
Implementasi SPK SAW Untuk Analisis Kepuasan Pelanggan Rumah Makan Padang Gusriva, Revi; Sentosa, Rio Bayu; Randa, Dimas Dwi
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 6, No 1 (2024): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v6i1.537

Abstract

Customer satisfaction is an important aspect that determines the success of a business, including restaurants. In order to improve service quality, a system is needed that is able to analyze customer satisfaction levels effectively. This research aims to implement the Simple Additive Weighting (SAW) method in a decision-making system to evaluate and analyze customer satisfaction at Padang Restaurants. The SAW method was chosen because of its ability to provide assessments based on predetermined criteria and weights so that each value of the sum of the weights of the results obtained will be the final decision. This system uses several main criteria, such as food quality, cleanliness, service, price and atmosphere of the place. Input data in the form of customer assessments against each criterion is processed using the SAW method to produce satisfaction level ratings. The research results show that this system is able to provide accurate analysis results and assist restaurant management in making strategic decisions to improve service. Thus, implementing the SAW method in customer satisfaction analysis can be an effective solution in supporting quality management in the culinary industry. The final result was that the highest score was obtained from customer III with a value of 1, customer 2 with a value of 0.84 and customer III obtained a value of 0.7025.
Sistem Pendukung Keputusan Pemilihan Sumber Mata Air Terbaik Dengan Metode Topsis (Studi Kasus Depot Talago) Amelia, Dhella; Randa, Dimas Dwi; Sentosa, Rio Bayu; Gusriva, Revi; Putra, Yeviki Maisyah
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.344

Abstract

Spring sources play a crucial role in meeting clean water needs, especially for the operational sustainability of the Talago Depot. Selection of optimal spring sources is a strategic aspect in ensuring adequate water quality and availability. This research aims to develop a Decision Support System (DSS) using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to assist Talago Depot in selecting the best spring source. A Decision Support System (DSS) or Decision Support System (DSS) is a system that is able to provide problem solving capabilities and communication capabilities for problems with semi-structured and unstructured conditions. There are many problems that can be used as research in a decision support system, one of which is determining the best spring source. In this research, a decision making system will be designed using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. The TOPSIS method is a multi-criteria decision making method that uses the principle that the selected alternative must have the closest distance to the positive ideal solution and the furthest distance to the negative ideal solution. It is hoped that this research can make a practical contribution to the efficiency of decision making regarding the selection of spring sources at the Talago Depot. With this SPK, it is hoped that Depot Talago can make more informed and measurable decisions, increase operational sustainability, and have a positive impact on clean water services to the surrounding community. The results obtained from this research are data on the best spring sources.
Co-Authors Ahmad Junaidi Aldi, Febri Amelia, Dhella Gusriva, Revi nozomi, irohito Putra, Yeviki Maisyah Randa, Dimas Dwi