Articles
<![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.]]>
<![CDATA[Implementing the Scrum Method for Developing a Population Information System ]]>
<![CDATA[Wahyu Setyaningsih, Putry]]>;
<![CDATA[Witanti, Arita]]>;
<![CDATA[Widatama, Krisna]]>
<![CDATA[ Jurnal Sistem Cerdas Vol. 8 No. 2 (2025) ]]>
Publisher : <![CDATA[APIC ]]>
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DOI: 10.37396/jsc.v8i2.378
<![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. Through the implementation of the Scrum methodology, it is expected that the design of the Population Information System can be well-managed, preventing the issues mentioned earlier. Moreover, the application of the Scrum methodology in designing the population information system is a tangible step in the implementation of large-scale application development projects. It is envisioned that Scrum could replace the traditional Waterfall methodology, which has been commonly used until now.]]>
<![CDATA[Manajemen Infak Berbasis Komunitas: Evaluasi Program TASLIMA di LAZISMU PRM Karanganyar ]]>
<![CDATA[Rakhmanto Suryo]]>;
<![CDATA[Arita Witanti]]>
<![CDATA[ Jurnal Ekonomi, Akutansi dan Manajemen Nusantara Vol. 4 No. 3 (2026): Edisi Januari - April ]]>
Publisher : <![CDATA[Utiliti Project Solution ]]>
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DOI: 10.55338/jeama.v4i3.408
<![CDATA[Studi kasus kualitatif ini mengevaluasi praktik manajemen infak berbasis komunitas melalui implementasi Program Taslima (Komunitas Peduli Yatim Duafa) oleh LAZISMU PRM Karanganyar. Program ini terbukti efektif dalam memberikan kontribusi positif terhadap peningkatan akses pendidikan, dengan alokasi dana mencapai 37,9% untuk beasiswa. Namun, analisis mendalam menunjukkan adanya kendala signifikan pada aspek transparansi dan akuntabilitas (skor persepsi rata-rata 3,6) serta keberlanjutan program (skor terendah 3,4) yang disebabkan oleh sistem pelaporan yang masih sederhana. Penelitian ini berimplikasi pada adanya inkonsistensi antara dampak sosial yang tinggi dengan tata kelola internal yang rentan. Sebagai kebaruan, penelitian ini merekomendasikan penguatan sistem tata kelola infak berbasis digital dan kepatuhan terhadap standar akuntansi filantropi (PSAK 109) sebagai kunci untuk meningkatkan akuntabilitas, menjaga kepercayaan donatur, dan menjamin efektivitas manajemen infak berbasis komunitas di masa depan.]]>
<![CDATA[Decision of Student's Dormitory Accommodation Using SAW Method ]]>
<![CDATA[Muhammad Fahrurrozi]]>;
<![CDATA[Arita Witanti]]>
<![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[Implementasi Algoritma Apriori Dalam Menentukan Pola Pembelian Parfum Berbasis Website ]]>
<![CDATA[Haris William]]>;
<![CDATA[Arita Witanti]]>
<![CDATA[ Journal of Information System and Artificial Intelligence Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Journal of Information System and Art ]]>
Publisher : <![CDATA[Universitas Mercu Buana Yogyakarta ]]>
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DOI: 10.26486/jisai.v5i1.112
<![CDATA[Ada banyak toko yang membuka usaha penjualan produk wewangian, salah satunya adalah Evelyn Perfum, kondisi seperti ini membuat banyak persaingan di dunia bisnis. Maka dibuatlah sebuah sistem berbasis web dengan mengolah data transaksi penjualan menjadi informasi yang dapat membantu pemliki toko Evelyn Perfum dalam meningkatkat strategi penjualan. Sistem ini menggunakan algoritma apriori dengan metode Association Rules. Aturan asosiasi adalah salah satu teknik penambangan data yang digunakan untuk menentukan hubungan antara item dalam kumpulan data yang telah ditentukan sebelumnya. Sistem ini dapat menentukan kombinasi dari kumpulan itemset, pembentukan kaidah asosiasi 2 itemset atau 3 itemset, perhitungan nilai support dan nilai confidence. Berdasarkan tabel analisa data transaksi penjualan periode 1 Januari 2020 sampai dengan 18 Juli 2020 mengetahui 2 itemset tertinggi adalah Pale Angel Wk => Catty Parry sebesar 51,52%.]]>
<![CDATA[Pemetaan Lahan Dan Hasil Pertanian Dengan Metode Query Spatial Berbasis GIS (Sistem Informasi Geografis) Dinas Pertanian Kabupaten Manggarai ]]>
<![CDATA[Beatinus Brianevant Frananta Sitepu]]>;
<![CDATA[Arita Witanti]]>
<![CDATA[ Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence ]]>
Publisher : <![CDATA[Universitas Mercu Buana Yogyakarta ]]>
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DOI: 10.26486/jisai.v4i1.114
<![CDATA[Indonesia is considered an agricultural country because agriculture is a strategic sector that impacts national economic growth. Agricultural products in Indonesia are influenced by geographical factors such as mountainous areas or highlands; usually, agricultural products are more dominant in vegetables and leaves. Meanwhile, for lowland areas, the type of agriculture is usually dominated by rice, secondary crops, soybeans, and grains and spices. Based on the types of agriculture above, there are differences in agricultural commodities due to differences in geographical location between the highlands and lowlands. Therefore, it is necessary to have a breakthrough in a system that can map the area based on the availability of land and types of agricultural commodities to monitor agricultural activity, especially in the Manggarai Regency agricultural office, which is currently trying to boost agricultural products. There seems to be no geographic information system for agricultural management in Manggarai Regency; thus, the researcher constituted the title "Mapping of Land and Agricultural Products Using Spatial Query Methods Based on Geographic Information Systems at the Manggarai Regency Agriculture Office" to be able to provide updated data regarding land availability and mapping. Agriculture throughout the Manggarai Regency area by displaying geographic information data that can be viewed based on the sub-district area village area to analyze the types and agricultural products within the region. This research is expected to improve the Manggarai Regency Agriculture Office to improve.]]>
<![CDATA[SISTEM PAKAR DETEKSI AWAL STUNTING PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR ]]>
<![CDATA[Rizqi Oktafiani]]>;
<![CDATA[Arita Witanti]]>
<![CDATA[ Technologia : Jurnal Ilmiah Vol 15 No 1 (2024): Technologia (Januari) ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal ]]>
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DOI: 10.31602/tji.v15i1.13675
<![CDATA[Permasalahan stunting pada anak-anak di Indonesia mengalami penurunan prevalensi dari 24,4% pada tahun 2021 menjadi 21,6% pada tahun 2022. Oleh karena itu, pemerintah sangat mengharapkan prevalensi stunting terus menurun agar tercipta anak-anak yang sehat dan bebas Stunting. Namun yang terjadi di Posyandu Kenanga Dusun Cungkup Kab Magelang adalah masih banyak kekhawatiran para orangtua tentang maraknya stunting pada anak, hal ini menjadi keresahan para orang tua. Dikarenakan banyak faktor seperti faktor aksesbilitas menuju layanan kesehatan dan fakotr ekonomi yang mebuat banyak orangtua seringkali mendiagnosa sendiri tanpa landasan pengetahuan yang memadai dan hanya menerawang apakah anaknya termasuk dalam Stunting. Untuk mengatasi masalah tersebut, penelitian ini bertujuan mengembangkan "Sistem Pakar Deteksi Awal Stunting dengan Metode Certainty Factor" untuk membantu para orang tua mendeteksi dini gejala stunting pada anak-anak mereka berdasarkan sumber informasi yang akurat dan relevan yang diperoleh dari pakar. Alasan penelitian ini menggunakan metode Certainty Factor, karena metode ini berkerja dengan cara menghitung tingkat keyakinan dari pengguna berdasarkan gejala yang dipilih sesuai dengan kondisi anak. Hasil dari perhitungan menggunakan sistem ini menunjukkan tingkat keyakinan sebesar 96,63%, mengindikasikan kemungkinan stunting yang hampir pasti. Adanya penelitian ini diharapkan menjadi langkah positif dalam upaya mengurangi stunting dan meningkatkan kesejahteraan anak-anak di Indonesia.]]>
