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<![CDATA[Analisis Hasil Resolusi Citra Dengan Metode Interpolasi Nearest Neighbor, Interpolasi Bilinear, dan Interpolasi Bicubic ]]>
<![CDATA[Tinaliah, Tinaliah]]>;
<![CDATA[Elizabeth, Triana]]>
<![CDATA[ JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 2 No 1 (2018): Jurnal JuSiTik (Jurnal Sistem Informasi dan Teknologi Informasi Komunikasi) ]]>
Publisher : <![CDATA[Universitas Katolik Musi Charitas Program Studi Sistem Informasi ]]>
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DOI: 10.32524/jusitik.v2i1.437
<![CDATA[Teknologi kamera terus berevolusi, dimana saat ini kamera dapat mengambil gambar dengan melakukan zoom hingga berkali kali tanpa mengurangi kualitas foto tersebut. Kualitas dari citra yang dihasilkan sangat bergantung pada metode interpolasi yang digunakan. Penelitian ini membahas mengenai pengaruh metode interpolasi nearest neighbor, interpolasi bilinear dan interpolasi bicubic dengan bermacam-macam tingkat resolusi terhadap citra asli. Data yang digunakan pada penelitian adalah citra RGB berukuran 256x256piksel. Kualitas dari citra yang dihasilkan akan diukur dengan menggunakan penilaian MSE dan PSNR. Hasil penilaian MSE metode Interpolasi Bicubic berada pada range angka 0 – 1. Hasil penilaian PSNR metode Interpolasi Bicubic menghasilkan angka diatas 51dB. Berdasarkan hasil penelitian didapat bahwa kualitas hasil resolusi citra sangat dipengaruhi oleh metode interpolasi yang digunakan. Hasil penilaian dengan perhitungan MSE dan PSNR menunjukkan bahwa Metode Interpolasi Bicubic lebih baik daripada metode Interpolasi Bilinear dan Interpolasi Nearest Neighbor.]]>
<![CDATA[Analisis Hasil Resolusi Citra Dengan Metode Interpolasi Nearest Neighbor, Interpolasi Bilinear, dan Interpolasi Bicubic ]]>
<![CDATA[Tinaliah, Tinaliah]]>;
<![CDATA[Elizabeth, Triana]]>
<![CDATA[ JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 2 No 1 (2018): Jurnal JuSiTik (Jurnal Sistem Informasi dan Teknologi Informasi Komunikasi) ]]>
Publisher : <![CDATA[Universitas Katolik Musi Charitas ]]>
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DOI: 10.32524/jusitik.v2i1.437
<![CDATA[Teknologi kamera terus berevolusi, dimana saat ini kamera dapat mengambil gambar dengan melakukan zoom hingga berkali kali tanpa mengurangi kualitas foto tersebut. Kualitas dari citra yang dihasilkan sangat bergantung pada metode interpolasi yang digunakan. Penelitian ini membahas mengenai pengaruh metode interpolasi nearest neighbor, interpolasi bilinear dan interpolasi bicubic dengan bermacam-macam tingkat resolusi terhadap citra asli. Data yang digunakan pada penelitian adalah citra RGB berukuran 256x256piksel. Kualitas dari citra yang dihasilkan akan diukur dengan menggunakan penilaian MSE dan PSNR. Hasil penilaian MSE metode Interpolasi Bicubic berada pada range angka 0 ? 1. Hasil penilaian PSNR metode Interpolasi Bicubic menghasilkan angka diatas 51dB. Berdasarkan hasil penelitian didapat bahwa kualitas hasil resolusi citra sangat dipengaruhi oleh metode interpolasi yang digunakan. Hasil penilaian dengan perhitungan MSE dan PSNR menunjukkan bahwa Metode Interpolasi Bicubic lebih baik daripada metode Interpolasi Bilinear dan Interpolasi Nearest Neighbor.]]>
<![CDATA[Analisis Knowledge Sharing pada Mahasiswa Program Studi Teknik Informatika STMIK GI MDP ]]>
<![CDATA[Triana Elizabeth]]>
<![CDATA[ Creative Information Technology Journal Vol 1, No 4 (2014): Agustus - Oktober ]]>
Publisher : <![CDATA[UNIVERSITAS AMIKOM YOGYAKARTA ]]>
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DOI: 10.24076/citec.2014v1i4.29
<![CDATA[Berbagi Pengetahuan (knowledge sharing) tidak hanya dapat diterapkan pada organisasi yang berkecimpung di lingkup bisnis, namun juga dapat diterapkan pada dunia pendidikan misalnya di perguruan tinggi dan disadari atau tidak sebenarnya knowledge sharing memang telah diterapkan pada perguruan tinggi salah satunya adalah knowledge sharing antar mahasiswa. Dengan menerapkan knowledge sharing bisa jadi para mahasiswa mendapakan pengetahuan yang memang sudah ada bahkan bisa mendapatkan pengetahuan baru yang belum pernah diketahui oleh mahasiswa-mahasiswa tertentu. Penelitian ini akan membahas mengenai bagaimana penerapan knowledge sharing antar mahasiswa yang terjadi pada mahasiswa-mahasiswa program studi Teknik Informatika (TI) STMIK GI MDP. Metode yang digunakan dalam pengumpulan data pada penelitian ini adalah melalui wawancara dan melalui Focus Group Discussion (FGD) yang ditujukan terhadap mahasiswa – mahasiswa program studi Teknik Informatika STMIK GI MDP. Melalui penelitian ini dapat diketahui bahwa selama ini mahasiswa melakukan knowledge sharing melalui media elektronik dan melalui tatap muka langsung. Selain itu dapat diketahui penghalang-penghalang dalam menerapkan knowledge sharing.Knowledge sharing is not only applicable to business in organizations but also can be applied to education, for example in college. Realized or not, knowledge sharing is already applied like knowledge sharing among students for example knowledge sharing between a students by other students or knowledge sharing between students and lecturer . By applying knowledge sharing, students can get new knowledges that is useful for their study even can make innovation. This research will discuss how the implementation of knowledge sharing among students which occurs in the course students of Teknik Informatika (TI) in STMIK GI MDP Palembang. The data collection in this research use interviews and Focus Group Discussion (FGD) with students of Teknik Informatika (TI) in STMIK GI MDP. By this research can be known that students do knowledge sharing by electronic media and by face to face. Moreover to known barriers in implementation knowledge sharing among students which occurs in the course students of Teknik Informatika (TI) in STMIK GI MDP Palembang.]]>
<![CDATA[Analisis Sistem Pembelajaran Online XYZ Menggunakan Technology Acceptance Model (TAM) ]]>
<![CDATA[Triana Elizabeth]]>;
<![CDATA[Tinaliah Tinaliah]]>
<![CDATA[ EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 11, No 1 (2021): June ]]>
Publisher : <![CDATA[Universitas Bandar Lampung (UBL) ]]>
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DOI: 10.36448/expert.v11i1.1959
<![CDATA[Universitas XYZ memiliki suatu Sistem Pembelajaran Online XYZ yang telah diimplementasikan pada tahun 2019 melengkapi sistem yang sebelumnya sudah ada yaitu Sistem Pembelajaran Online dan Interaktif XYZ. Namun, masih belum diketahui apakah Sistem Pembelajaran Online XYZ telah diterima dengan baik oleh dosen maupun mahasiswa. Oleh sebab itu, perlu dilakukan analisis untuk mengetahui bagaimana atau seberapa besar penerimaan dan pemahaman dosen beserta mahasiswa terhadap penggunaan Sistem Pembelajaran Online XYZ. Technology Acceptance Model (TAM) adalah salah satu model yang dapat digunakan untuk mengetahui hal ini. Terdapat 4 variabel yang akan diukur yaitu tingkat kepercayaan terhadap penggunaan Sistem Pembelajaran Online XYZ (perceive usefulness), tingkat kepercayaan bahwa Sistem Pembelajaran Online XYZ akan memudahkan dalam proses perkuliahan dibandingkan sebelum adanya sistem (perceive ease of use), sikap positif atau negatif dari pengguna yaitu dosen dan mahasiswa terhadap Sistem Pembelajaran Online XYZ (attitude toward using), dan penggunaan aktual (actual usage). Angket/ kuesioner disebar ke dosen dan mahasiswa sebagai data utama untuk diproses. Data akan diolah dan dianalisis melalui aplikasi statistik SPSS. Setelah melakukan uji validitas, reliabilitas, dan analisis regresi berganda maka hasilnya adalah 3 hipotesis terbukti benar. ]]>
<![CDATA[Perbandingan Hasil Deteksi Plagiarisme Dokumen dengan Metode Jaro-Winkler Distance dan Metode Latent Semantic Analysis ]]>
<![CDATA[Tinaliah Tinaliah]]>;
<![CDATA[Triana Elizabeth]]>
<![CDATA[ Jurnal Teknologi dan Sistem Komputer Volume 6, Issue 1, Year 2018 (January 2018) ]]>
Publisher : <![CDATA[Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro ]]>
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DOI: 10.14710/jtsiskom.6.1.2018.7-12
<![CDATA[Various methods are applied in the application of plagiarism detection to help check the similarity of a document. Jaro-Winkler Distance can measure the distance between two strings. However, this method basically depends on the position of the word. Latent Semantic Analysis emphasizes the words contained in the document regardless of its linguistic character. This study compares the results of plagiarism detection using the Jaro-Winkler Distance and the Latent Semantic Analysis method. From comparing results of Jaro-Winkler Distance method and Latent Semantic Analysis method, Jaro-Winkler Distance method is better than Latent Semantic Analysis method if using the same test data. Jaro-Winkler Distance method will give plagiarism result 100% and Latent Semantic Analysis method will give plagiarism result 97,14%.]]>
<![CDATA[Sistem Informasi Pemakaian Sparepart Mesin Packing pada PT. XYZ ]]>
<![CDATA[Triana Elizabeth]]>;
<![CDATA[Stephanie Darmawan H]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 1 No 2 (2015): JATISI MARET 2015 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v1i2.32
<![CDATA[One of the products produced by PT XYZ is instant noodles. The production process in producing instant noodles takes place in several stages, including passing the packing stage. Therefore, it takes some packing machine which can expedite the process of packaging of instant noodles, so the quality can be maintained. To maintain the smooth process of packing, then the machines must be kept in good condition and unfit for use. To be able to operate properly, it must be noted inventory of spare parts. If there is damage to a particular part of the packing machine, packing machine spare parts so it can be replaced. Due to the number of spare parts that are less clear packing machine, will interfere with the course of the process of packing and noodle production process so that it will cause harm. Therefore it needs to make a desktop-based computerized system that can provide information on the use of spare parts packing machine also can provide information on the number of spare parts that tersedia.Sistem This information is built with VB.Net programming language and IDE program using Microsoft Visual Studio 2008 and Microsoft SQL DBMS server 2008.]]>
<![CDATA[Rancang Bangun Aplikasi Penjualan dan Stok Barang Material (Studi Kasus: Toko Bangunan XYZ) ]]>
<![CDATA[Triana Elizabeth]]>;
<![CDATA[Tinaliah Tinaliah]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 4 No 2 (2018): JATISI MARET 2018 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v4i2.100
<![CDATA[The increasing competition in the building materials business in Palembang city makes some businessmen in the field of building materials sales difficult to survive and some others have experienced a decline in sales.Accordingly, business people must be smart to know what items to buy to prevent the accumulation of stock of goods that do not sell so that losses. XYZ Building Store is one store that wants to keep its business. then, it takes a sales and inventory application that can provide information on the quantity stock of goods available, and what is the bestsellers. The method used in the design of this application using iterative method. Making database using DBMS SQL Server and visual basic as programming language. Testing the application using black box testing to determine the function and performance for each menu of the application. The result, this application has met or has been in accordance with the needs. In addition, this application can also improve the performance and efficiency of time in sales transactions and know the stock of current goods that help owners of XYZ building stores to make decisions what items to buy]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Peminatan Program Studi Teknik Informatika Menggunakan Metode SAW ]]>
<![CDATA[Tinaliah Tinaliah]]>;
<![CDATA[Triana Elizabeth]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 5 No 2 (2019): JATISI ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v5i2.137
<![CDATA[Based on the Informatics Engineering study program curriculum, it can be seen that in the 5th semester students are required to take elective courses based on specialization provided. The purpose of specialization is for graduate students to have competencies that support them to continue their studies to a higher level (S2 or S3) and have work competencies that support them when they graduate from college. The problem is that it is difficult to determine the specialization that will be taken. Therefore, a decision support system is needed that can help STMIK XYZ Informatics Engineering students decide what they will choose. This decision support system applying Decission Fuzzy Multiple Attribute Making (FMADM) and Simple Additive weighting method (SAW). This decision support system design uses the Netbeans IDE 8.2 application and MySQL as the database]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Asisten Dosen Menggunakan Metode SAW ]]>
<![CDATA[Triana Elizabeth]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 1 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v7i1.221
<![CDATA[The process of selecting the teaching assistant starts with announcements on the campus web. The requirement is to have an A and at least on 3rd semester. Because the selection of lecturer assistant lecturers is only based on the value of the student's courses, there are a number of lecturers and students in the class who feel the teaching assistant in the course does not have a positive impact on lectures. This is because the students who are teaching assistants are not active, it is difficult to communicate with juniors, and there is some material that they have not mastered so it is difficult to explain it to juniors. Therefore, we need a decision support system that can help academics make decisions about who students they will choose as teaching assistants and help the head of the informatics engineering study program to get information about students who have been teaching assistants. This decision support system applying Decission Fuzzy Multiple Attribute Making (FMADM) and Simple Additive weighting method (SAW). This decision support system design uses the Netbeans IDE 8.2 application and MySQL as the database.]]>
<![CDATA[Penerapan Convolutional Neural Network Untuk Klasifikasi Citra Ekspresi Wajah Manusia Pada MMA Facial Expression Dataset ]]>
<![CDATA[Tinaliah Tinaliah]]>;
<![CDATA[Triana Elizabeth]]>
<![CDATA[ JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP ]]>
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DOI: 10.35957/jatisi.v8i4.1437
<![CDATA[Human facial expressions generally represent the emotions or feelings they are feeling at that time. Classification of facial expression images can help to find out what emotions a person is feeling. CNN is type of neural network is used to extract features from an image and is very superior if implemented on image data. In this study, facial expression image classification will be carried out by applying the Convolution Neural Network to the MMA Facial Expression dataset. Where the data will be divided into 2 classes, namely happy and sad. The test is carried out using testing data for each class of the CNN model that has been created using a predetermined optimizer, namely: Adadelta, Adagrad, Adam, Adamax, Nadam, Rmsprop, and SGD. Based on the test results, it can be concluded that CNN can classify images of human facial expressions well using the SGD optimizer with an accuracy value of 63%.]]>
