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<![CDATA[Pelestarian Budaya Batik Tulis Melalui Penggalian Potensi Kriya Batik Pewarna Alami Bagi Penggerak Deswita Wonolopo ]]>
<![CDATA[Imam Husni Al Amin]]>;
<![CDATA[Edy Winarno]]>;
<![CDATA[Dewi Handayani U. N.]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ IKRA-ITH ABDIMAS Vol 6 No 2 (2023): IKRAITH-ABDIMAS Vol 6 No 2 Juli 2023 ]]>
Publisher : <![CDATA[Universitas Persada Indonesia YAI ]]>
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DOI: 10.37817/ikra-ithabdimas.v6i2.2411
<![CDATA[The Wonolopo tourist village was designated by the mayor of Semarang as one of theleading tourist villages in the city of Semarang, which is located in Mijen sub-district, WestSemarang, Central Java. Wonolopo tourist village has a lot of local potential with natural wealthand uniqueness that can be proud of as one of the cultural and educational tour packages fortourists. With the uniqueness of Kampoeng Jamunya which can be juxtaposed with theexploration of natural dyed batik, it becomes the main attraction to be presented for tourists whowant to see the uniqueness of the Wonolopo tourist village area.Most of those who are driving tourist villages and tourism awareness groups (pokdarwis)do not understand the process of writing batik, let alone the use of natural dyes that can beobtained from around. One of the efforts to optimize the existing potential needs to be carriedout on an ongoing basis, training and technical guidance mainly for the community that drivesthe Tourism village in the form of written batik / stamp using the natural dye Blue Indigo. The training was given in stages starting from handling the fabric with mordanting, blazing the motifonto a piece of white cloth, painting according to the pattern drawn, the next process dyeing thefabric with natural Indigo blue dye, and finally slapping it off to remove the wax from the stick.The last process, the cloth is rinsed until it is clean from the lime that is present with the Indigopaste]]>
<![CDATA[Penerapan Metode Playfair Cipher Dalam Aplikasi Enkripsi- Dekripsi File Teks ]]>
<![CDATA[Taufan Maynard Prananda Sancaka1]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ Elkom : Jurnal Elektronika dan Komputer Vol 15 No 2 (2022): Desember : Jurnal Elektronika dan Komputer ]]>
Publisher : <![CDATA[STEKOM PRESS ]]>
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DOI: 10.51903/elkom.v15i2.937
<![CDATA[Dokumen Teks adalah dokumen yang menyajikan informasi secara tertulis. Ada berbagai jenis dokumen teks, antara lain Plain Text ( .txt ), Microsoft Word Documents ( .docx ), Portable Document Format ( .pdf ) dan lain sebagainya. Dokumen teks ini sangat penting karena berisi data dan informasi dari pihak-pihak yang berkepentingan. Untuk meningkatkan keamanan dari kebocoran data atau informasi, diperlukan suatu teknik yang disebut Kriptografi. Kriptografi adalah ilmu yang mempelajari tentang keamanan pesan, sehingga membuat pesan tidak dapat dibaca oleh orang yang tidak berwenang. Oleh karena itu penulis menggunakan metode Kriptografi yang bernama Playfair Cipher untuk diimplementasikan pada sebuah aplikasi agar aplikasi tersebut mampu mengubah file teks menjadi file terenkripsi dan sebaliknya. Untuk menganalisa proses pada aplikasi, penulis menggunakan beberapa file diantaranya ( .txt ), ( .docx ), dan ( .pdf ). Sehingga dari hasil analisis tersebut dihasilkan suatu kesimpulan bahwa semakin besar ukuran file yang akan melalui proses enkripsi atau dekripsi maka akan semakin lama pula proses enkripsi atau dekripsinya. Aplikasi yang dihasilkan akan membantu mengubah file teks menjadi file terenkripsi dan sebaliknya.]]>
<![CDATA[KLASIFIKASI JENIS KUCING MENGGUNAKKAN ALGORITMA PRINCIPAL COMPONENT ANALYSIS DAN K-NEAREST NEIGHBOR ]]>
<![CDATA[Aisyah Nur Ramadhayani]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ Jurnal informasi dan komputer Vol 10 No 2 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 10 ( ]]>
Publisher : <![CDATA[STMIK Dian Cipta Cendikia Kotabumi ]]>
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DOI: 10.35959/jik.v10i2.333
<![CDATA[Kucing dalam bahasa latin adalah Felis silvestris catus adalah sejenis hewan karnivora. Kucing adalah hewan peliharaan terpuler di dunia yang memiliki banyak peminat dan penggemar.Kucing yang memiliki garis keturunan tercatat secara resmi sebagai kucing trah atau jalur murni (pure breed). Jumlah ras kucing seperti ini hanya sedikit yaitu 1 % dari populasi kucing yang ada di dunia yang biasanya hanya dikembang biakan di tempat pemeliharaan hewan resmi. Penelitian ini menggunakkan algoritma Principal Component Analysis(PCA) dan K-nearest Neighbor(KNN) dengan mempunyai tujuan untuk mengklasifikasi citra hewan kucing melalui tahap analisis pada citra asli, citra biner dan citra grayscale(keabuan).Hasil keluaran ekstraksi ciri akan menjadi masukan untuk metode algoritma Principal Component Analysis(PCA) dan K-nearest Neighbor(KNN) untuk aplikasi klasifikasi jenis kucing. Ekstraksi ciri yang akan digunakan dalam penelitian ini yaitu RGB dan HSV. Data yang akan digunakan dalam penelitian ini adalah 34 data citra, terdiri dari 24 citra data latih dan 10 data citra uji. Maka dengan adanya penelitian ini diharapkan agar bisa membantu orang untuk lebih mudah mengetahui klasifikasi hewan peliharaan yaitu kucing . Hasil keluaran akurasi pada aplikasi klasifikasi menggunakkan Algoritma Multi Support Vector Machine (SVM) dengan ekstraksi ciri orde satu algoritma Principal Component Analysis(PCA) dan K-nearest Neighbor (KNN) yaitu mencapai tingkat akurasi sebesar 80%.]]>
<![CDATA[Real-Time Detection of Face Mask Using Convolutional Neural Network ]]>
<![CDATA[Imam Husni Al Amin]]>;
<![CDATA[Deva Ega Marinda]]>;
<![CDATA[Edy Winarno]]>;
<![CDATA[Dewi Handayani U.N]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v7i3.5036
<![CDATA[Masks are a simple barrier that can help us prevent transmission and spread of disease from other people who enter the body, avoid exposure to air pollution, and protect the face from the adverse effects of sunlight. However, many people are still ignorant about the importance of wearing masks for health. This study aims to detect whether or not to use masks in real-time by proposing a deep learning model to reduce illness and death caused by air pollution. The convolutional Neural Network (CNN) method was used in this research to detect facial recognition using a mask and not using a mask. The public dataset used in this research consists of 1300 images with 650 data using masks and 650 data without masks. The results of this study show that the proposed CNN method works well in detecting masked and non-masked faces in real time. The proposed method obtains an accuracy value of 97.5% at epoch 50. Previous research on mask detection using the Eigenface method yielded an accuracy of 88.89%, and another study using the Viola-Jones method yielded an accuracy of 95.5%. It can be concluded that this research can increase the accuracy value of previous studies. So, this research is feasible to be applied to the detection of mask use in real time.]]>
<![CDATA[Analisis Sentimen Terhadap Kenaikan Harga Bahan Pokok Menggunakan Metode Naive Bayes Classifier ]]>
<![CDATA[Muhammad Muslimin]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023 ]]>
Publisher : <![CDATA[Universitas Budi Darma ]]>
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DOI: 10.30865/mib.v7i3.6418
<![CDATA[Basic necessities are the main needs that are important for people’s lives. The increase in the price of basic necessities certainly has a huge impact on the operational costs of the community and has become a very crucial issue. This event gave rise to pro and con responses from the public expressed through social media Twitter. From this event, sentiment analysis research was conducted related to the increase in the price of basic commodities. The amount of data used for this research is 2070 tweet data. The analysis results show that negative sentiment appears more than positive sentiment, with a percentage of 2,8% positive sentiment and 97,2% for negative sentiment. Retrival of tweet data is done through the netlytic.org website with the keyword staples. The classification method uses the naïve Bayes Classifier method. Furthermore, data division is carried out on the dataset with a ratio of 6:4. The data is divided into 60% training data and 40% test data. The size of the test data as much as 40% of the overall data produces the best accuracy rate. From the results of testing the model with the Naïve Bayes Classifier method the evaluation value results are the highest accuracy score of 94,38%, precision of 59,67%, recall of 67,93%, and F-measure of 62,32%. It can be concluded that the results of sentiment analysis on the increase in the proce of basic commodities get a negative response from the public. This research proposes a method of sentiment analysis of rising prices of basic commodities by considering the level opinion sentiment on Twitter.]]>
<![CDATA[Klasifikasi Tingkat Kematangan Buah Kersen Menggunakan Citra HSI Dengan Metode K-Nearest Neighbor (KNN) ]]>
<![CDATA[Krisna Aditya Pratama]]>;
<![CDATA[Wahyu Priyo Atmaja]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 1 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer ]]>
Publisher : <![CDATA[Politeknik Harapan Bersama ]]>
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DOI: 10.30591/smartcomp.v11i1.3171
<![CDATA[Buah kersen sering dianggap buah yang tidak bermanfaat, ternyata buah kecil ini memiliki banyak manfaat tersembunyi. Dalam artikel ini penulis ingin mengidentifikasi dan mengklasifikasi kematangan buah kersen menggunakan citra HSI dengan metode KNN. Tujuan penelitian ini adalah memberikan hasil berupa tingkat kematangan buah kersen menggunakan aplikasi matlab. Dengan menggunakan metode K-Nearest Neighbor (KNN) untuk menentukan tingkat kematangan buah kersen. Data training yang digunakan berjumlah 18 data, terdiri dari 6 data matang, 6 data setengah matang dan 6 data mentah. Kata kunci : Matlab, KNN, HSI]]>
<![CDATA[Klasifikasi Tingkat Kematangan Buah Pisang Raja Menggunakan Metode CNN Berbasis Android ]]>
<![CDATA[Trissa Noor Aulia Febriana]]>;
<![CDATA[Veronica Lusiana]]>
<![CDATA[ Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika Universitas Pamulang ]]>
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DOI: 10.32493/jtsi.v7i1.37790
<![CDATA[Raja banana (Musa paradisiaca L.) is a banana cultivar commonly enjoyed in Indonesia. In addition to being consumed as a fresh fruit, Pisang Raja is often processed into various banana-based foods, such as banana chips, fried bananas, banana fritters, and other banana products. For farmers, post-harvest sorting of Pisang Raja requires a significant amount of time and effort. Therefore, a system is needed to assist farmers and the community in general to determine the ripeness level of Pisang Raja fruit more efficiently and clearly. The classification process of Pisang Raja fruit ripeness levels is carried out through precision calculations in a system, using a dataset consisting of 300 images covering 3 types of Pisang Raja ripeness levels. The classification process for the ripeness levels of Pisang Raja fruit utilizes the Convolutional Neural Network (CNN) method with the TensorFlow module for training and testing data. Based on experimental results, the accuracy in classifying the ripeness levels of Pisang Raja fruit reaches a value of 95%."]]>
<![CDATA[Sistem Presensi Berbasis Kode QR untuk Pelacakan Kontak Pasca-Pandemi ]]>
<![CDATA[Imam Husni Al Amin]]>;
<![CDATA[Veronica Lusiana]]>;
<![CDATA[Budi Hartono]]>;
<![CDATA[Dimas Wahyu]]>
<![CDATA[ CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer, Universitas Klabat ]]>
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DOI: 10.31154/cogito.v10i1.490.436-450
<![CDATA[The COVID-19 pandemic has brought about profound changes in daily life and introduced new challenges to public health maintenance. Despite ongoing uncertainties, with certain regions easing or completely lifting community activity restrictions, persistent concerns about the virus's continued threat prompt the need for robust health monitoring measures. In this context, the use of contact tracing apps becomes pivotal for organizing individuals' movements, monitoring social distancing, and ensuring adherence to health protocols. This study introduces a QR code-based attendance system, a meticulously designed web and Android application aimed at efficiently and accurately tracking individuals' whereabouts. The system leverages QR code scanning technology, and to enhance security, employs the Advanced Encryption Standard (AES) method for data encryption. This ensures the safe encryption of sensitive data, preserving its confidentiality and integrity during transmission and storage. The research outcome is a versatile application facilitating seamless access across diverse locations, allowing real-time tracking of individuals' presence. This capability proves crucial for contact tracing efforts in the event of positive cases, contributing to the implementation of post-pandemic security and surveillance policies. The system's design and features align with the evolving landscape of the pandemic, emphasizing adaptability and comprehensive support for public health initiatives.]]>
<![CDATA[Penerapan Sistem Informasi Posyandu dan Pemantuan Stunting pada Posyandu Indah Sari Kelurahan Manyaran Kota Semarang ]]>
<![CDATA[Hartono, Budi]]>;
<![CDATA[Lusiana, Veronica]]>;
<![CDATA[Wahyuni, Sri]]>;
<![CDATA[Supriyanto, Aji]]>
<![CDATA[ Intimas Vol 3 No 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi dan Industri Unisbank ]]>
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DOI: 10.35315/intimas.v3i2.9641
<![CDATA[Integrated service posts (Posyandu) are the government's efforts to make it easier for Indonesian people to obtain maternal and child health services. The main activity of posyandu is to record and monitor the nutritional status, growth and development of toddlers. Mitra Posyandu "Indah Sari" in Manyaran sub-district, Semarang city is managed by 10 cadres of local mothers with no less than 50 toddlers who regularly visit this posyandu. The partner's problem is that recording the results of weighing, measuring body length/height, arm circumference (lila) and toddler head circumference (lika), is still recorded in a book or examination card. There is no information system available that makes it easy for posyandu cadres to monitor and provide explanations of the growth and development of toddlers quickly and accurately to parents of toddlers. The Community Service Team provides solutions, (a) development of the Posyandu Information System and Stunting Monitoring (SIP-PS program) and training of Posyandu cadres for SIP-PS operations, as well as (b) counseling by nutritionists about Stunting monitoring and balanced nutritional food. The SIP-PS program can be used according to partners' needs, namely being able to monitor the growth of toddlers more accurately and quickly. "Indah Sari" Posyandu cadres have a good understanding of the importance of monitoring stunting in toddlers.]]>
<![CDATA[PENDAMPINGAN PENGUATAN KEMAMPUAN POSTING KONTEN CREATOR PADA WEBSITE BAGI PENGURUS PONDOK PESANTREN DARUL ULUM UNGARAN ]]>
<![CDATA[Ningsih, Dewi Handayani .U]]>;
<![CDATA[Razak, Jeffri Alfa]]>;
<![CDATA[Lusiana, Veronica]]>;
<![CDATA[Noor Santi, Rina Candra]]>
<![CDATA[ Intimas Vol 3 No 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi dan Industri Unisbank ]]>
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DOI: 10.35315/intimas.v3i2.9650
<![CDATA[Digital content plays an important role for online users. Relevant, high-quality and interesting content will attract visitors' attention and support the business objectives or information you want to convey. Meanwhile, we know that a Content Management System (CMS) is a platform that has an intuitive user interface, which allows users to manage content, using text or visual editors. Web development for Islamic boarding schools is the process of creating and managing a website that has a primary focus on creating and presenting content that is relevant, informative and useful. Creator content in this context can include various types of material such as articles, videos, podcasts, infographics, religious studies, and various other forms of content. One of the activities that will be used as digital content is training and technical guidance on SInergi Bekam which is provided in the form of theory and practice directly as well as training and assistance in managing the Islamic boarding school website so that they are able to manage and operate the website via the website http://darululumungaran.com.]]>
