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PEMANFAATAN K-NEAREST NEIGHBOR (KNN) PADA PENGENALAN WAJAH DENGAN PRAPROSES TRANSFORMASI WAVELET Maryana, Sufiatul; Karlitasari, Lita; Qur’ania, Arie
KOMPUTASI Vol 8, No 1 (2011): KOMPUTASI
Publisher : KOMPUTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (902.573 KB)

Pengenalan wajah merupakan salah satu bidang penelitian dengan banyak aplikasi yang menerapkannya hal itu dikarenakan wajah manusia mampu merepresentasikan sesuatu yangkompleks sehingga dalam melakukan pemodelan komputasi yang ideal sangatlah sulit, karenasetiap metode memiliki kelebihan dan kekurangan. Kemampuan untuk dapat mengidentifikasiwajah sangat diperlukan dalam berbagai bidang seperti kepolisian, hukum, forensik, imigrasidan sebagai identitas wajah dalam memasuki daerah terlarang. Hal ini menyebabkanpengembangan system pengenalan wajah tetap menjadi riset yang penting.. Tujuan daripenelitian ini adalah k-nearest neighbor KNN pada pengenalan wajah dengan praprosestransformasi wavelet. Data yang digunakan berupa gambar atau citra yang diperoleh daribeberapa objek. Pada percobaan ini terdapat 80 citra dari 10 objek. Sebanyak 64 citradigunakan sebagai database pelatihan dan 16 digunakan untuk uji pengenalan pola. Metodeyang digunakan adalah transformasi wavelet untuk ekstraksi fitur dan KNN untuk identifikasi. Hasil pemilihan k terbaik adalah 5 dengan jumlah citra pada setiap kelas dalam kelompokpengujian sebanyak 8 buah.Kata Kunci : KNN, Wavelet, Citra Wajah

PENERAPAN VISUALISASI 3D TANAMAN AIR BERBASIS ANDROID PADA MAHASISWA BIOLOGI Karlitasari, Lita; Ismanto, -; Putra, Agung Prajuhana
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Publisher : Fakultas Matematika dan ilmu pengetahuan Alam. Universitas Pakuan.

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This study aims to assist Biology students in studying Plant Taxonomy. 3D visualization of aquatic plants is the result of a transformation that resembles the original image and is dynamic so that it can be viewed in detail from all sides. There are also tools used are Software Photoshop + Blender and Unity 3D, while the required materials are photos of plants that have been taken. The method developed is multimedia application development method used is IMSDD (Interactive Multimedia System Design and Development), where done System Requirement Phase, Design Consideration Phase, Implementation Stage, and Evaluation Phase. Capturing is done with clarity enough brightness, so it will be easy when designing 3D visualization. Plants taken from several Botanical Gardens Region, such as Bogor Botanical Gardens, Ciapus Botanical Garden, Purwodadi Botanical Garden, and Botanical Garden Eka Buana Bali. The picture taken is the whole, stems, flowers, fruit, and leaves both front and rear. Application development is done through the collection of objects, object segmentation, the creation of object textures and the creation of 3D objects. 3D water plants visualization applications can be enlarged and reduced, and rotated well to the right, left, up, and down. Water plants that appear in the application are present in the Indonesian and Latin names, taxon and description. Once the application is complete, it will be transformed to an Android-based platform. Keywords : 3D visualization, android, water plants

Search Of Favorite Books As A Visitor Recommendation of The Fmipa Library Using CT-Pro Algorithm Maryana, Sufiatul; Karlitasari, Lita
Journal of Science Innovare Vol 1, No 01 (2018): Journal of Science Innovare
Publisher : Universitas Pakuan

The library of Faculty of Mathematics and Natural Science (FMIPA) has a collection of books and other print media, total of 2,678 books with 7237 visitors and 2148 borrowers. The available book search system was very helpful for visitors to find the required books. Especially if the system has features recommended of books. In the provision of book recommendations used one of the data mining techniques, namely association rule mining techniques or excavation of association rules. In the development of this recommendation system, KDD (Knowledge Discovery from Database) model was used. The data used was the transaction history of borrowing book with the category of "chemistry", for the last 5 (five) months, that is September 2014 - February 2015. The excavation technique of this association rule has 2 (two) main process, they are: frequent patterns and rules. To find frequent patterns, a CT-PRO algorithm was used. The minimum value of support used was 1 and 2. Once the pattern is found, the confidence value of each pattern was calculated. The minimum value of confidence used ranges from 10% to 100%. The recommendation rule was based on calculating the value of this confidence. The comparison of minimum support values indicates that the greater value of minimum support then the less borrowing pattern was generated, and vice versa. The comparison of minimum confidence value shows that the greater of minimum confidence value then the less recommended rule given.. Keywords: Library, Recommended System, Knowledge Discovery from Database (KDD), Association Rule Mining, CT-PRO Algorithm

PENERAPAN METODE COBIT DALAM TATA LAKSANA TEKNOLOGI INFORMASI DI PERPUSTAKAAN FMIPA UNIVERSITAS PAKUAN Karlitasari, Lita; Maryana, Sufiatul
Proceedings of KNASTIK 2012
Publisher : Duta Wacana Christian University

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Penggunaan Teknologi Informasi di Perpustakaan FMIPA Universitas Pakuan menjadisuatu keharusan dalam meningkatkan kinerja dan produktifitas.Informasi yang diolahharus bersifat efektif, efisien, rahasia, terintegrasi, tersedia, sesuai, dan dapatdiandalkan.Untuk menilai sejauh mana pengelolaan TI telah dilaksanakan dengannbaik, perlu dilakukan penyesuaian standar manajemen teknologi.Metode COBITadalah salah satu standar manajemen teknologi.Tahapan Metode COBIT yangdilakukan adalah tahap informasi, tahap perencanaan dan organisasi, tahap akuisisidan implementasi, tahap pengiriman dan dukungan, serta tahap pemantauan. Setelahitu, dengan menggunakan Metode COBIT ini akan diberikan penilaian melaluiwawancara dan kuesioner, sehingga dapat diketahui tingkat kematangannya (MaturityModel). Dengan demikian diketahui temuan-temuan, baik yang sudah baik, buruk,maupun yang masih perlu dikembangkan. Akhirnya diberikan rekomendasi untukmeningkatkan mutu perpustakaan FMIPA UNPAK.

Search Of Favorite Books As A Visitor Recommendation of The Fmipa Library Using CT-Pro Algorithm Sufiatul Maryana; Lita Karlitasari
Journal of Science Innovare Vol 1, No 01 (2018): Journal of Science Innovare
Publisher : Universitas Pakuan

The library of Faculty of Mathematics and Natural Science (FMIPA) has a collection of books and other print media, total of 2,678 books with 7237 visitors and 2148 borrowers. The available book search system was very helpful for visitors to find the required books. Especially if the system has features recommended of books. In the provision of book recommendations used one of the data mining techniques, namely association rule mining techniques or excavation of association rules. In the development of this recommendation system, KDD (Knowledge Discovery from Database) model was used. The data used was the transaction history of borrowing book with the category of "chemistry", for the last 5 (five) months, that is September 2014 - February 2015. The excavation technique of this association rule has 2 (two) main process, they are: frequent patterns and rules. To find frequent patterns, a CT-PRO algorithm was used. The minimum value of support used was 1 and 2. Once the pattern is found, the confidence value of each pattern was calculated. The minimum value of confidence used ranges from 10% to 100%. The recommendation rule was based on calculating the value of this confidence. The comparison of minimum support values indicates that the greater value of minimum support then the less borrowing pattern was generated, and vice versa. The comparison of minimum confidence value shows that the greater of minimum confidence value then the less recommended rule given.. Keywords: Library, Recommended System, Knowledge Discovery from Database (KDD), Association Rule Mining, CT-PRO Algorithm

Virtual Tour Campus Sebagai Media Promosi di Masa Pandemik Covid-19 Lita Karlitasari; Boldson Herdianto Situmorang; Agung Prajuhana Putra; Amalia Sabrina; Diva Randika
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 1 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i1.4438

The use of Virtual Tours is now widely used to introduce infrastructure facilities owned by a campus. For almost a year, the COVID-19 pandemic has made prospective students and college students hesitant to continue their studies. This raises concerns if you come directly to campus to see all the facilities in it. The purpose of this research is to create a virtual campus tour application as an alternative media promotion during the COVID-19 pandemic. This study uses the Multimedia Development Life Cycle (MDLC) method using augmented reality. The result of this research is an application in the form of a virtual game, where before exploring the study programs, the user will be asked to have the appropriate character, then with the help of controlling the joystick from the keyboard, the user can enter the rooms and the information in it, either in the form of direct templates. or use the barcode to go directly to the information in it. Thus, in addition to users becoming more familiar with the Computer Science Study Program environment and the infrastructure in it, it is also an inspirational tool, that to study or create applications it can be done if you enter as a student.

Android-Based 3D Visualization of Indonesia Medicinal Plants Lita Karlitasari; Ismanto Ismanto; Agung Prajuhana Putra
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i1.pp229-233

3D visualization of medicinal plants is the result of the transformation that resembles the original image and are dynamic, so it can be viewed in detail from all sides. Image capture is performed with a level of clarity must be at least 70% so it would be easy when designing a 3D visualization. The medicinal plants collected came from Bogor Botanical Gardens of 11 plants, Ciapus - Bogor of 16 plants, and Cibodas Botanical Gardens of 37 plants. The image capture was done by using the comparison scale of human height, stem, flowers, fruits, and leaves both look forward and backward. Application development was done through the objects collection, object segmentation, object texture creation and 3D object creation. The application of 3D visualization medicinal plants can be enlarged and reduced, and rotated well to the right, left, up, and down. The medicinal plants that appears in the application was in Indonesian and Latin names, taxon and the descriptions. Therefore the general public, students, and researchers can utilize the plant objects much better.

KMS (KNOWLEDGE MANAGEMENT SYSTEM) PENDIDIKAN USIA DINI MENGGUNAKAN METODE KMSLC Halimah Tus Sadiah; Lita Karlitasari; Aries Maesya; Muhamad Saad Nurul Ishlah; Luthfiyana Nur Alifa; Elinda Puspita
MULTITEK INDONESIA Vol 16, No 1 (2022): Juli
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v16i1.4377

AbstrakDi era Pandemi Covid-19 ini, para orangtua yang memasukan anaknya di sekolah PAUD diharuskan mendampingi anak dalam proses pembelajaran di rumah atau daring. Adapun upaya yang dilakukan untuk peningkatan pengetahuan dan kemampuan anak yang tidak hanya berfokus pada kognitif saja namun juga perkembangan karakter, spiritual, fisik, sosial dan emosional maka perlu adanya wadah berbagi ilmu dan praktik berbasis ICT, yaitu KMS (Knowledge Management System). Penelitian ini bertujuan untuk membangun KMS PAUD. Metode yang digunakan adalah KMSLC yang tahapannya terdiri atas evaluasi infrastruktur, pembentukan tim kms, knowledge capture, Design KMS Blueprint, implementasi KMS, pengujian KMS. Penelitian ini menghasilkan aplikasi KMS yang terdiri dari fitur permainan edukasi anak 1-6 tahun, fitur pembelajaran untuk anak usia 3-6 tahun, fitur informasi perkembangan anak berdasarkan usia, register, login dan forum orangtua. Aplikasi ini telah diuji menggunakan pengujian balck box dimana hasil dari pengujian 100% fitur yang terdapat pada aplikasi KMS berfungsi dan berjalan sesuai dengan harapan. Abstract In this era of the Covid-19 Pandemic, parents who enroll their children in PAUD schools are required to accompany their children in the learning process at home or online. As for the efforts made to increase children's knowledge and abilities that do not only focus on cognitive but also character, spiritual, physical, social and emotional development, it is necessary to have a forum for sharing knowledge and ICT-based practices, namely KMS (Knowledge Management System). This study aims to build PAUD KMS. The method used is KMSLC whose stages consist of infrastructure evaluation, KMS team formation, knowledge capture, KMS Blueprint Design, KMS implementation, KMS testing. This study resulted in a KMS application consisting of educational game features for children 1-6 years old, learning features for children aged 3-6 years, information features on child development based on age, registration, login and parent forum. This application has been tested using black box testing where the results of testing 100% of the features contained in the KMS application function and run as expected.

IDENTIFIKASI DEFISIENSI UNSUR HARA PADA TANAMAN CABAI MENGGUNAKAN SUPPORT VECTOR MACHINE Arie Qur’ania; Lita Karlitasari; Sufiatul Maryana; Cecep Sudrajat; Zolla Zolla
J-ICON : Jurnal Komputer dan Informatika Vol 11 No 1 (2023): Maret 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v11i1.9803

Plants, like other living things, need a combination of nutrients to live, grow and reproduce. Nutrients in plants can also be divided into two, namely mobile nutrients and immobile nutrients (non-moving nutrients). The condition of plants that are deficient or lacking in nutrients will experience growth disturbances and affect the yield of leaves or fruit. Leaf color can be a characteristic of plants under normal conditions or experiencing nutrient deficiencies. Deficiency of nutrients in plants will affect leaf shape, fruit production and plant age which results in stunted growth and rapid death of plants, in fruit production there will be loss of flowers or ovaries so that production will decrease. So far, plant maintenance has been done manually. Each plant is seen for later analysis of the results and it takes time to identify nutrient deficiencies. The aim of the study was to identify nutrient deficiencies in image-based chili plants based on the characteristics of the Red, Green, Blue (RGB) color and texture analysis using the Support Vector Model (SVM). The benefit of the research is to make machine learning-based applications to identify nutrient deficiencies which are divided into four classes, namely nitrogen (N) and phosphorus (P) deficiencies, P and potassium (K) deficiencies, N and K deficiencies, and chili leaves with normal class. .There are 120 plant data with an accuracy of 84.4%.

Search Of Favorite Books As A Visitor Recommendation of The Fmipa Library Using CT-Pro Algorithm Sufiatul Maryana; Lita Karlitasari
Journal of Science Innovare Vol 1, No 1 (2018): Journal of Science Innovare, Volume 01 Number 01 2018
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jsi.v1i01.677

The library of Faculty of Mathematics and Natural Science (FMIPA) has a collection of books and other print media, total of 2,678 books with 7237 visitors and 2148 borrowers. The available book search system was very helpful for visitors to find the required books. Especially if the system has features recommended of books. In the provision of book recommendations used one of the data mining techniques, namely association rule mining techniques or excavation of association rules. In the development of this recommendation system, KDD (Knowledge Discovery from Database) model was used. The data used was the transaction history of borrowing book with the category of "chemistry", for the last 5 (five) months, that is September 2014 - February 2015. The excavation technique of this association rule has 2 (two) main process, they are: frequent patterns and rules. To find frequent patterns, a CT-PRO algorithm was used. The minimum value of support used was 1 and 2. Once the pattern is found, the confidence value of each pattern was calculated. The minimum value of confidence used ranges from 10% to 100%. The recommendation rule was based on calculating the value of this confidence. The comparison of minimum support values indicates that the greater value of minimum support then the less borrowing pattern was generated, and vice versa. The comparison of minimum confidence value shows that the greater of minimum confidence value then the less recommended rule given.. Keywords: Library, Recommended System, Knowledge Discovery from Database (KDD), Association Rule Mining, CT-PRO Algorithm

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