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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah KOMPUTASI Jurnal Penelitian Pendidikan IPA (JPPIPA) CogITo Smart Journal Jurnal Ilmiah Matrik Dinasti International Journal of Management Science Media Informatika Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Ana Kurniawati
Universitas Gunadarma
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Social Sciences Other

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ANALISIS PERFORMA PERANGKAT LUNAK ANTIVIRUS DENGAN MENGGUNAKAN METODOLOGI PENGUKURAN PERFORMANCE Ana Kurniawati; Ardiansyah Ardiansyah
Jurnal Ilmiah Matrik Vol 22 No 1 (2020): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (774.134 KB) | DOI: 10.33557/jurnalmatrik.v22i1.838

Abstract

This research aims to observe the performance of licensed enterprise antivirus software. The company Antivirus researched is Trend Micro Worry-Free Service and Kaspersky Endpoint Security. To get the data done testing on the specified antivirus parameters using the help of tools like Rebooter, BootRacer, Teracopy, Process Explorer and IP Messenger. Testing both antivirus software did as many as 8 parameters are boot time, restart, full scan, copy-paste files and use memory capacity during a full scan or when idle. The results of the data found at random are analyzed with statistical tests using Test T and test F. Tests conducted to indicate there is no significant average score difference from the test result value of 8 antivirus parameters. The result of the T-Test statistical analysis and F-test is that both anti-virus product has the advantages and disadvantages in each of the parameters with the speed of time and memory capacity used. But when calculated as a whole, antivirus Kaspersky Endpoint Security becomes the best antivirus performance.
Identify Reviews of Pedulilindungi Applications using Topic Modeling with Latent Dirichlet Allocation Method Layli Hardiyanti; Dina Anggraini; Ana Kurniawati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 17, No 4 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.86025

Abstract

The emergence of Covid-19 in December 2019 has disrupted life worldwide, including Indonesia. The government has made various efforts to control the pandemic, one of which is the development of an application called PeduliLindungi. This app aims to be a reliable tool for the government and the entire community during the pandemic. As a new regulation, the use of PeduliLindungi has prompted numerous reviews assessing its quality and performance. With the app's emergence and growth, various topics have emerged and become trending among the public. These topics were identified through user reviews of the PeduliLindungi app, using the Latent Dirichlet Allocation (LDA) algorithm. The data, consisting of 15,522 reviews, was collected from the Google Play Store and underwent pre-processing, including dictionary and corpus creation, determining the number of topics, and modeling with LDA. The resulting topic modeling process generated the ten most prominent topics. The outcomes were visualized using word clouds and topic distribution graphs, representing the most discussed aspects of the PeduliLindungi app among users. These topics are considered diverse since each issue has no relation or similarity to one another.
Pemilihan Marketplace Terbaik Dengan Metode Simple Additive Weighting (SAW) Studi Kasus: Kota Curup, Rejang Lebong, Bengkulu Rizki Eka Wahyuni; Ana Kurniawati
CogITo Smart Journal Vol. 9 No. 2 (2023): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v9i2.492.317-327

Abstract

Pada era marketplace yang sedang berkembang pesat saat ini, sangat memudahkan masyarakat untuk berbelanja kebutuhan sehari-hari dan tidak perlu repot untuk pergi berbelanja keluar rumah, ke pasar maupun ke mal. Dengan banyaknya pilihan aplikasi marketplace yang beredar di Indonesia tentu saja membuat para pengguna memiliki banyak pilihan untuk berbelanja pada marketplace sesuai dengan kebutuhan masing-masing pengguna. Penelitian ini bertujuan untuk memudahkan para pengguna marketplace atau para konsumen untuk menentukan marketplace terbaik yang akan mereka gunakan berdasarkan kriteria-kriteria yang telah ditentukan untuk memilih salah satu marketplace terbaik pada Kota Curup, Kabupaten Rejang Lebong, Bengkulu. Dari hasil perhitungan dengan menggunakan metode SAW diperoleh bahwa marketplace Tokopedia (A1) mendapat rangking pertama dengan nilai tertinggi yaitu sebesar 0,97, nilai tertinggi kedua atau ranking kedua diperoleh oleh marketplace Blibli (A5) dengan nilai sebesar 0,92, nilai tertinggi ketiga atau ranking ketiga diperoleh oleh marketplace Shopee (A2) dengan nilai sebesar 0,91, nilai tertinggi keempat atau ranking keempat diperoleh oleh marketplace Bukalapak (A4) dengan nilai sebesar 0,90, dan nilai terendah atau ranking terakhir diperoleh oleh marketplace Lazada (A3) dengan nilai 0,86.
PELATIHAN TEKNOLOGI INFORMASI DAN MATEMATIKA PADA YAYASAN KARANG WIDYA (THE LEARNING FARM) CIANJUR-JAWA BARAT Irawati, Dyah Cita; Kurniawati, Ana; Sekarwati, Kemal Ade; M., Lulu Chaerani; Jannah, Miftahul; Umniati, Naeli; Widiastuti, Widiastuti; Ningrum, Witta Listiya
Jurnal Pengabdian Kepada Masyarakat Darma Saskara Vol 4, No 1 (2024)
Publisher : Jurnal Pengabdian Kepada Masyarakat Darma Saskara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/abdimasug.2024.v4i1.11224

Abstract

The Learning Farm (TLF) Yayasan Karang Widya berlokasi di Kampung Rawabenceuh, Desa Kawungluwuk, Kec. Kab Sukaresmi. Jawa Barat Cianjur 43254. Yayasan Karang Widya adalah organisasi nirlaba yang berupaya memberikan akses pendidikan berkualitas kepada masyarakat berpenghasilan rendah dan kurang mampu melalui program berkebun organik. Target audiensnya terutama adalah orang dewasa kelas menengah dan pekerja yang berusia antara 15 dan 25 tahun. Siswa berasal dari seluruh wilayah Indonesia dan menerima pengajaran tatap muka selama 100 hari per mata pelajaran. Selain materi organik yang berfungsi sebagai media pengajaran utama, siswa juga diberikan pengajaran kecakapan hidup dalam mata pelajaran seperti penggunaan komputer, kemahiran bahasa Inggris, dan kepemimpinan. Tujuan dari mata kuliah ilmu komputer dan matematika yang ditawarkan oleh Universitas Gunadarma adalah untuk membekali mahasiswa dengan pemahaman yang kuat tentang matematika dasar serta keterampilan penggunaan komputer. Pelajarannya mencakup dasar-dasar penggunaan komputer seperti penggunaan komputer, pengolah kata, penggunaan spreadsheet, membuat presentasi, dan pengetahuan matematika yang berkaitan dengan situasi dunia nyata. Tujuan dari program pelatihan guru ini adalah agar siswa dapat bekerja sebagai karyawan dengan menggunakan komputer sebagai alat kerja dan menerapkan pengetahuan matematika pada tugas-tugas yang berhubungan dengan pekerjaan atau usaha kewirausahaan.
Analisis Perbandingan Teknik Word2vec dan Doc2vec dalam Mengukur Kemiripan Dokumen Menggunakan Cosine Similarity Iskandar, Dede; Kurniawati, Ana
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129143

Abstract

Tempatkan Era digital memudahkan akses dokumen online dalam jumlah besar menjadi lebih mudah dan cepat, namun juga menimbulkan tantangan kompleks dalam pengelolaan dan analisis informasi. Salah satu tantangan utama adalah mengukur kemiripan antar dokumen, yang penting untuk berbagai aplikasi seperti deteksi plagiarisme. Menanggapi tantangan ini, banyak teknik yang dapat digunakan dalam merepresentasikan dokumen menjadi vektor untuk mengukur kemiripan dokumen.  Dalam penelitian ini teknik Word2vec dan Doc2vec digunakan untuk merepresentasikan dokumen menjadi vektor, dan dalam mengukur kemiripan dokumen menggunakan metode Cosine Similarity. Objek penelitian dilakukan pada paragraf abstrak dari 20 jurnal ilmiah dengan tema data mining yang diterbitkan antara tahun 2020 hingga 2024 dari E-Journal Universitas Gunadarma. Metodologi penelitian meliputi pengumpulan data, text mining, pra-pemrosesan teks, implementasi teknik Word2vec dan Doc2vec, serta pengukuran Cosine Similarity. Hasil penelitian menunjukkan bahwa teknik Word2vec menghasilkan nilai Cosine Similarity yang lebih tinggi dibandingkan dengan Doc2vec untuk pasangan jurnal yang sama, dapat dilihat pada pasangan jurnal J02 dengan J14 memiliki nilai Cosine Similarity 0.892 pada teknik Word2vec, sedangkan pada Doc2vec nilainya 0.434. Hal ini menandakan bahwa hasil teknik Word2vec terbukti lebih efektif dalam menangkap kemiripan semantik antara jurnal-jurnal dibandingkan dengan teknik Doc2vec.   Abstract The digital era has made access to many online documents easier and faster, but it has also created complex challenges in information management and analysis. One of the main challenges is measuring the similarity between documents, which is crucial for various applications such as plagiarism detection. In response to this challenge, many techniques can be used to represent documents as vectors to measure document similarity. In this research, Word2vec and Doc2vec techniques are used to represent documents as vectors, and Cosine Similarity is used to measure document similarity. The research objects are abstract paragraphs from 20 scientific journals on data mining published between 2020 and 2024 from Gunadarma University's E-Journal. The research methodology includes data collection, text mining, text pre-processing, Word2vec and Doc2vec techniques implementations, and Cosine Similarity measurement. The results show that the Word2vec technique produces higher Cosine Similarity values compared to Doc2vec for the same journal pairs, as seen in the journal pair J02 and J14 having a Cosine Similarity value of 0.892 using the Word2vec technique, while with Doc2vec the value is 0.434. This indicates that the Word2vec technique proves to be more effective in capturing semantic similarities between journals compared to the Doc2vec technique.
Selection of The Best Marketplace Using The Weighted Product Method (Case Study in Jabodetabek Area) Kastilia, Elizabet Tabita; Kurniawati, Ana
Dinasti International Journal of Management Science Vol. 5 No. 3 (2024): Dinasti International Journal of Management Science (January-February 2024)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijms.v5i3.2137

Abstract

The rapid growth of internet users has a major impact, especially in providing opportunities for producers and consumers to conduct business transactions online. During the Covid-19 pandemic, the marketplace can be said to be one of the businesses that has not experienced a decline like other conventional businesses. How to choose a marketplace that sells products at the cheapest price, product quality and the best online customer reviews is an interesting study to research. Research conducted on 5 marketplaces. The analytical tool used in this study uses the Weighted Product (WP) method. Tokopedia is the best marketplace that consumers can choose to shop. The marketplace with the cheapest price is owned by Blibli.com and the best online customer review is owned by Lazada.
Analyzing User Satisfaction of a Study Abroad Guidance Company Website Using the Customer Satisfaction Index (CSI) Method Nispi, Fajrian; Kurniawati, Ana; Wulandari, Lily
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.34612

Abstract

XYZ is an education technology company dedicated to assisting Indonesian students in gaining acceptance to universities worldwide through full scholarship, partial, or self-funding. Until 2024, XYZ has a thousand alumni accepted in 46 countries and many universities worldwide. One of the marketing trackers that XYZ has is the website. With this website, the company will deliver the service to customers and receive user feedback to run and improve their services. The measurement of user satisfaction level can be used to improve the quality of service in digital media. The method used in this study to measure user satisfaction level is the Customer Satisfaction Index (CSI), which evaluates satisfaction across five (5) dimensions: usability, information quality, assurance, reliability, and data accessibility. This method's result shows a value of 83.64%, which means the XYZ website performance is in the "Very Satisfied" category. These findings suggest that XYZ Company's website is highly effective and has a "Very Satisfied" result category in meeting user needs, paving the way for continued success in their mission to assist Indonesian students in pursuing global education opportunities
The Importance of Preventive Measures to Reduce the Incidence of Postpartum Depression in Unintended Pregnancies: A Narrative Review Sujiyatini, Sujiyatini; Ghofur, Abdul; Kurniawati, Ana; Hastuti, Sari; Supatmi
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6648

Abstract

Unintended pregnancies and associated emotional issues can negatively affect expectant mothers, potentially harming both them and their babies. This study focuses on the significance of forgiveness as an intervention for healing emotional wounds, enhancing self-acceptance, and improving overall well-being and relationships among mothers. It assesses forgiveness's impact on the physical, psychological, social, and spiritual health of mothers throughout their lives, bolstering their resilience. A narrative review of evidence on forgiveness in the context of unwanted teenage pregnancies was conducted from January 2016 to January 2019, including PubMed, EMBASE and Cochrane, EBSCO, PubMed, UpToDate, and Clinical Key. Out of 995 studies, 14 articles were selected, primarily emphasizing forgiveness therapy for adolescent bullying and social issues. Although research on forgiveness in unwanted pregnancies was limited and had methodological limitations, early interventions are crucial to safeguard pregnant women's physical and mental health during pregnancy, childbirth, and the postpartum period. Further research with improved methodology is needed to comprehensively understand forgiveness's impact and enhance support for pregnant women
Perancangan Sistem Pendukung Keputusan Kelayakan Operasi Kendaraan dengan Metode Weighted Product Berbasis Web Anggriani, Fadhilah; Gumay, Marliza Ganefi; Kurniawati, Ana
Media Informatika Vol 24 No 3 (2025)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v24i3.382

Abstract

PT. Lima Jari Persada Palembang merupakan perusahaan penyedia jasa penyewaan truk kargo yang membutuhkan ketepatan dalam pengambilan keputusan terkait kelayakan kendaraan operasional. Saat ini, proses pemeriksaan kendaraan masih dilakukan secara manual melalui pencatatan tertulis, sehingga proses berlangsung lebih lama dan rentan terhadap kesalahan penilaian. Untuk mengatasi permasalahan tersebut, penelitian ini menghasilkan rancangan sistem pendukung keputusan berbasis web menggunakan metode Weighted Product (WP). Metode ini dipilih karena mampu menangani multikriteria dan menghasilkan perankingan kendaraan secara objektif berdasarkan tingkat kelayakan. Hasil pengujian menunjukkan bahwa rancangan sistem berjalan dengan baik serta dapat diterima di PT. Lima Jari Persada Palembang, sehingga dapat mendukung percepatan pemeriksaan, meningkatkan akurasi keputusan, serta menunjang kelancaran operasional perusahaan.
Comparative Analysis Of Convolutional Neural Network Models For Digital Image-Based Melanoma Classification Kurniawati, Ana; Haura, Aniqoh Hana
CogITo Smart Journal Vol. 11 No. 2 (2025): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v11i2.856.257-270

Abstract

Melanoma is one of the most malignant forms of skin cancer, with an incidence rate of 7.9% in Indonesia. Traditional biopsy-based diagnosis, though crucial, is invasive and time-consuming, creating barriers for early detection. To address this issue, this research compares two Convolutional Neural Network (CNN) models for digital image-based melanoma classification. The study utilized a publicly available dataset from Kaggle, consisting of 17,805 images (melanoma and non-melanoma), which were divided into training, validation, and testing subsets. The models were trained using the Adamax and SGD optimizers for 100 epochs. The performance of the models was evaluated based on accuracy, loss, precision, recall, and F1-score. The CNN model with the best architecture, which consisted of two fully connected layers, achieved an accuracy of 93.18% and a loss of 0.1636, outperforming the alternative model. These results confirm the effectiveness of CNN models in classifying melanoma images and support the development of a web-based platform that allows users to upload or capture images for rapid and non-invasive detection.
Co-Authors Abdul Ghofur Aditya Yafi Pramudya Anggriani, Fadhilah Ardiansyah Ardiansyah Dede Iskandar, Dede Dina Agustin Dina Anggraini Hastuti, Sari Haura, Aniqoh Hana Irawati, Dyah Cita Kastilia, Elizabet Tabita Kemal Ade Sekarwati Layli Hardiyanti M., Lulu Chaerani Marliza Ganefi Gumay, Marliza Ganefi Maulidia Putri Iriyanti Miftahul Jannah Mukhibah, Durrotul Naeli Umniati Nispi, Fajrian Putra, Andika Kurnia Rizki Eka Wahyuni Sidiq, Abdul Hafidh Sujiyatini, Sujiyatini Supatmi Vega Putri Khatinka Vega Putri Khatinka WIDIASTUTI - Widiastuti Widiastuti Witta Listiya Ningrum Wulandari, Lily