Articles
<![CDATA[Implementasi Sistem Pakar Diagnosis Penyakit Gigi dan Mulut Berbasis Web dengan Metode Hybrid Chaining ]]>
<![CDATA[Reizandi, Dwisatya]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Universitas Multi Data Palembang ]]>
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DOI: 10.35957/jatisi.v12i3.12969
<![CDATA[Dental and oral health issues remain prevalent in Indonesia, hindered by limited access to healthcare services and low public awareness. This study aims to develop a web-based expert system for diagnosing dental and oral diseases using a hybrid chaining method that combines the strengths of forward and backward chaining. The system is built using PHP and MySQL, utilizing symptom data and medical records from a dental clinic in Yogyakarta as its knowledge base. Users can perform self-diagnosis by selecting symptoms, and the system provides probable diagnoses along with initial treatment suggestions. The inference process starts with forward chaining to filter potential diseases, followed by backward chaining to verify and calculate the match percentage. Testing on 50 patient records showed an accuracy of 75%. While the accuracy is moderate, the system demonstrates potential as a preliminary diagnostic tool. Further development is recommended, including expanding the rule base, incorporating symptom weighting, and increasing the range of detectable diseases. This system is expected to improve early diagnosis access and public awareness of oral health through digital solutions.]]>
<![CDATA[Decision of Student's Dormitory Accommodation Using SAW Method ]]>
<![CDATA[Fahrurrozi, Muhammad]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ International Journal of Informatics Engineering and Computing Vol. 1 No. 1 (2024): International Journal of Informatics Engineering and Computing ]]>
Publisher : <![CDATA[ASTEEC ]]>
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DOI: 10.70687/ijimatic.v1.i1.28
<![CDATA[This study presents the development and evaluation of a Decision Support System (DSS) designed to streamline the student selection process for dormitory administrators. The system leverages the Simple Additive Weighting (SAW) method to evaluate applicants based on predefined criteria, including academic performance, financial need, and extracurricular involvement. Testing conducted on five applicants demonstrated a 100% accuracy rate, validating the system's effectiveness in identifying the most suitable candidates. The SAW method's ability to aggregate and normalize multiple criteria into a single quantitative score ensures a robust, transparent, and fair decision-making framework. This approach significantly enhances the precision of candidate selection while reducing manual effort and minimizing biases. The system's adaptability allows for the incorporation of additional criteria or adjustments to weighting schemes, ensuring its applicability across diverse institutional contexts. The successful implementation of this system underscores the value of integrating multi-criteria decision-making techniques into administrative workflows, offering a scalable and accountable solution for optimizing resource allocation in dormitory management.]]>
<![CDATA[Strengthening Knowledge of AI-based applications to facilitate the preparation of learning media for teachers at TKIT Mekar Insani Minggiran Yogyakarta ]]>
<![CDATA[Witanti, Arita]]>;
<![CDATA[Soeharto, Triana Noor Edwina Dewayani]]>;
<![CDATA[Apriani, Nana]]>
<![CDATA[ Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): Januari ]]>
Publisher : <![CDATA[Edumedia Solution ]]>
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DOI: 10.55824/jpm.v4i1.485
<![CDATA[Artificial intelligence (AI) technologies offer transformative opportunities in educational settings, particularly for teachers who are preparing interactive learning materials for early childhood education (ECE). However, challenges persist in their implementation, such as limited teacher knowledge, infrastructure barriers, and ethical concerns. This study aims to enhance teachers' knowledge at TKIT Mekar Insani, Yogyakarta, by providing training through mini workshops and supporting resources, such as refurbished computers. The program involved 25 teachers and included pre- and post-training evaluations. Results indicate a significant increase in teachers' ability to use AI-based tools, demonstrated by the production of engaging learning materials and improved confidence in integrating technology into their pedagogy. This initiative highlights the importance of bridging technology gaps in educational institutions and fostering continuous professional development.]]>
<![CDATA[Penerapan Metode Weighted Product dalam Sistem Pendukung Keputusan untuk Rekomendasi Tempat Gym Fitness Center Terbaik ]]>
<![CDATA[M. Abdurozik]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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DOI: 10.29408/jit.v8i2.30554
<![CDATA[This study aims to design and develop a decision support system (DSS) based on the Weighted Product (WP) method to assist the public in selecting the best fitness center in Yogyakarta City. The wide range of available gyms, each offering varying facilities, pricing, services, and programs, presents a challenge for potential users in identifying options that align with their preferences. The proposed system utilizes five key criteria—facilities, membership fees, availability of personal trainers, distance, and user ratings—to generate objective recommendations. An initial trial conducted in Soropadan Village revealed that BlackBox Gym achieved the highest score of 0.040798, followed by The Fit Lab with a score of 0.03887 and Wzone Gym Studio – Jakal with a score of 0.036909. Further testing was performed across 30 sample points, each representing a sub-district within Yogyakarta City. The results indicated that MissFit Studio Gym ranked highest, achieving a preference score of 0.048897. The system demonstrated an accuracy rate of 97.56% when compared to manual calculations. These findings confirm that the application of the WP method is both effective and accurate in producing precise and consistent recommendations, thereby validating its reliability as a decision-making tool in selecting a fitness center.]]>
<![CDATA[Using the Scrum Method to Developing Population Information System ]]>
<![CDATA[Wahyu Setyaningsih, Putry]]>;
<![CDATA[Witanti, Arita]]>;
<![CDATA[Widatama, Krisna]]>
<![CDATA[ ULTIMA InfoSys Vol 15 No 1 (2024): Ultima Infosys : Jurnal Ilmu Sistem Informasi ]]>
Publisher : <![CDATA[Universitas Multimedia Nusantara ]]>
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DOI: 10.31937/si.v15i1.3590
<![CDATA[The adoption of Population Information System is crucial to enhance work effectiveness and serves as a manifestation of transparency in population data management. The complexity from design to implementation of such a population information system poses its own challenges. There are at least three main issues in system design, namely time estimation, team management, and ensuring the quality of system being developed. These issues must be addressed early on to prevent potential team management problems during the design and development stages of the application. One suitable method that can be employed for the design of the population information system is the Scrum methodology. Scrum is a software development framework that emphasizes a collaborative and adaptive approach. It falls under the Agile methodology, aiming to produce products that are more responsive to changes and enabling teams to adapt quickly in a dynamic environment. Scrum also promotes transparency in the development process, aiding in monitoring system progress and information accuracy. Compared to the commonly used Waterfall method, the Scrum approach offers greater flexibility in dealing with changes in requirements or needs that may arise during the development process. While the Waterfall method tends to follow predefined in linear steps. The novelty of this research lies in the proactive approach to addressing the complexity of designing population information systems by implementing Agile methodologies such as Scrum. Thus, it is expected that the implementation of Scrum will bring significant changes in improving the effectiveness and transparency in the development of population information systems.]]>
<![CDATA[Restaurant Recommendation Decision Support System Using Topsis System ]]>
<![CDATA[Rogawati, Nesya]]>;
<![CDATA[Susilawati, Indah]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ EXSACT-A Vol 1, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Al Azhar Indonesia ]]>
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DOI: 10.36722/exc.v1i1.2248
<![CDATA[The vast technology development in the culinary aspect makes all kinds of information could be acquired easily. Information is needed to be one of some considerations when a person is going to book a seat in a restaurant. Hungryhub is restaurant booking service provider which helps customers to be able to make a reservation online. This research background is Hungryhub website development innovation which offers so many restaurants. The aim of this research is to help customers upon making decisions with restaurants' recommended option alternatives.This research is using Technique for Other Reference by Similarity to Idea Solution (Topsis). Data is collected from documentation and interviews. The documentation is obtained from survey fulfillment by the users which would be processed and references of the restaurant recommendations for the users themselves. The interviews are done with the Hungryhub operational team to get the restaurants' data which have cooperated with Hungryhub. The topsis method is chosen because it has a concept that chosen alternatives are alternatives which have the shortest range to the ideal positive solutions and have the farthest range to the ideal negative solutions. The result of this research is a recommendation system which could display alternative restaurants' ranking result.]]>
<![CDATA[Perancangan Steganografi Penyisipan Pesan Teks pada Citra Digital Menggunakan Pixel Value Differencing ]]>
<![CDATA[Saputra, David]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI (Jurnal Multimedia & Artificial Intelligence) ]]>
Publisher : <![CDATA[LPPM Universitas Mercu Buana Yogyakarta ]]>
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<![CDATA[Message security in this modern is needed. The development of the internet network that allows people to exchange data through the internet network. Along with the development of the internet, communication and information technology crimes are also developing one of which is data theft. These problems can be dealt with using the sciences that have existed since time immemorial namely steganography. Steganography is a technique that can secure the message by hiding the message pasted through the media in the form of digital images. Pixel Value Differencing as one of steganography techniques is quite safe in hiding secret messages. Pixel Value Differencing is a steganographic method that uses a difference value between two pixels to determine how many secret bits can be inserted. Based on the test results, it can be concluded that by using the pixel value differencing (PVD) method, the capacity of the image to insert a message is smaller than the image size, the processing time in this method is quite fast, the image quality after inserting a message has good quality]]>
<![CDATA[SISTEM PENCARIAN RUTE DISTRIBUSI TERPENDEK MENGGUNAKAN ALGORITMA GENETIKA (STUDI KASUS DISTRIBUTOR SARI ROTI YOGYAKARTA) ]]>
<![CDATA[vanrika, adena reis]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ JMAI (Jurnal Multimedia & Artificial Intelligence) Vol. 4 No. 2 (2020): JMAI (Jurnal Multimedia & Artificial Intelligence) ]]>
Publisher : <![CDATA[LPPM Universitas Mercu Buana Yogyakarta ]]>
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<![CDATA[In the modern era is the role of technology is very useful and rapidly evolved in societies, technology can make efficient and make effective activity or employment in the community, one of the roles of the current technology has been widely used in by the community i.e. google maps, google maps itself many uses and benefits of its one that is looking for a location to various places and then showing the route of the journey. On the existence of a travel distribution company couriers to deliver its products to any location of the consumer. These problems in the case of travelling salesmen problem (TSP), where a courier will visit a number of n points. and every point should only be visited once in addition to the starting point. In this study, researchers aim to create a system that can locate the most minimum distribution route using a genetic algorithm, utilizing the features of google maps so that the impact on the effectiveness of time and transportation costs. Genetic algorithm is a heuristic algorithm is used to resolve the problem by way of mengoptimasikan the problem with imitating the process of evolution of living beings. In this study data on use is data from the distributor sari bread jogjakarta. Data on testing trainers in this research aims to find the best algorithm parameter values and parameter values that is obtained by the total population = 100, maximum = 100 genes, the crossover rate = 0.5, and the mutation rate is 0.1. Of the 5 test data, by performing a test on each of the 10 test data. then the obtained results of genetic algorithm performance results percentage of 84% of the route or the value of an optimal fitness, and 16% showed error route that is not optimal.]]>
<![CDATA[Klasifikasi Citra Virus SARS-COV Menggunakan Deep Learning ]]>
<![CDATA[Susilawati, Indah]]>;
<![CDATA[supatman, supatman]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023) ]]>
Publisher : <![CDATA[Politeknik Harapan Bersama ]]>
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DOI: 10.30591/jpit.v8i2.4587
<![CDATA[Various variants of the SARS-COV virus emerged from 2003 to early 2022. This resulted in a heavy burden on the health sector in carrying out its duties and public services. It would be very helpful if a computer-assisted application was available that could distinguish between the variants of the SARS-CoV virus. From a scientific point of view, this is an opportunity for information technology to play its role to classify SARS-COV variants using supporting algorithms, including the use of artificial intelligence. Artificial intelligence-based and computer-assisted processes are certainly more immune to negative effects due to repetitive works and fatigue. In this study, Classification of the SARS-COV Virus Image Using Deep Learning (CNN) was carried out based on microscopic data called Transmission Electron Microscopy (TEM) images. The aim of the research is to produce a neural network (CNN/Deep Learning) that has been trained to classify two types of variants of the SARS virus, namely SARS-COV and SARS-COV2. The research phase includes data collection, data pre-processing (consists of the image format conversion and enhancing process), and the classification stage. The classification is carried out using both of the original and enhanced image data. The highest classification accuracy was obtained when the original image data was used, namely 77.66%. It was also found that the classification accuracy increased with an increase in the input image size, but the image data enhancing process used was not able to increase the classification accuracy beyond the classification accuracy achieved when using the original image.]]>
<![CDATA[SPK Pemilihan Pengadaan Barang dan Jasa Pemerintah Menggunakan Metode SAW ]]>
<![CDATA[Rosi, Novriansyah]]>;
<![CDATA[Witanti, Arita]]>
<![CDATA[ Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025 ]]>
Publisher : <![CDATA[Universitas Budi Darma ]]>
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DOI: 10.30865/json.v7i1.8750
<![CDATA[Pengadaan barang dan jasa pemerintah adalah proses strategis dalam mendukung pembangunan nasional, mulai dari infrastruktur hingga layanan publik yang diatur dalam Peraturan Presiden (Perpres) Nomor 12 Tahun 2021. Peraturan tersebut memberi dasar dalam penetapan metode pengadaan seperti Tender, Pengadaan Langsung, Penunjukan Langsung, Seleksi, E-Purchasing, dan Swakelola berdasarkan parameter nilai anggaran, kompleksitas pekerjaan, ketersediaan pasar, urgensi dan risiko. Proses Pemilihan metode pengadaan barang dan jasa pemerintah pada proses perencanaan pengadaan cenderung kurang tepat dan tidak sesuai dengan regulasi. Penelitian ini mengembangkan model sistem pendukung keputusan SPK) untuk memilih metode pengadaan dengan metode Simple Additive Weighting (SAW) dengan tujuan untuk membantu aparatur pemerintah dengan memberikan rekomendasi dalam menentukan metode pengadaan pada paket pengadaan. Melalui kombinasi analisis regulasi, diskusi mendalam dengan praktisi pengadaan, pengetahuan pengadaan dan penerapan riil, sistem ini dirancang untuk mengolah data secara matematis sehingga menghasilkan rekomendasi yang selaras dengan batasan hukum dan kebutuhan praktis. Sistem menunjukan tingkat akurasi mencapai 90% dari jumlah data uji terhadap data riil. Hasil perhitungan tersebut menunjukan bahwa sistem yang dibuat menggunakan metode SAW memiliki tingkat akurasi sistem yang tinggi sehingga dapat digunakan untuk merekomendasikan pemilihan metode pengadaan.]]>
