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Antivirus : Jurnal Ilmiah Teknik Informatika
Published by Universitas Islam Balitar Blitar
ISSN : -     EISSN : 2527337X     DOI : -
Core Subject : Science,
Computer Science & IT
Memuat hasil penelitian dan kajian kritis bidang teknologi informasi, teknlogi informasi elektronik, pengajaran, penelitian, aplikasi dan inovasi dan rekayasa informatika.
Arjuna Subject : -
Articles 172 Documents
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PERANCANGAN USER INTERFACE DAN USER EXPERIENCE APLIKASI E-TICKET BUS NGURILING KOTA TASIK (NGULISIK) BERBASIS MOBILE DENGAN METODE DESIGN THINKING Sutrisno, Gilan Praditiya; Sumaryana, Yusuf; Hikmatyar, Missi
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 1 (2023): Mei 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i1.3047

Abstract

Ngulisik adalah bus wisata di kabupaten tasikmalaya. Bus wisata ngulisik sendiri sudah mengatur tiketnya secara manual. Semakin pesatnya kemajuan teknologi informasi dan inovasi yang diadopsi dalam smartphone semakin memudahkan segala aktivitas manusia, seperti aplikasi e-ticket yang memudahkan masyarakat untuk memesan tiket hati. Perancangan aplikasi dimulai dengan desain desain antarmuka yang merupakan langkah awal implementasi ide, alur, dan cara kerja aplikasi yang dirancang pada akhirnya. Metode yang digunakan adalah design thinking. Metode design thinking terdiri dari emphatize, define, ideate, prototype dan test.Hasil uji desainer dengan 10 peserta menggunakan pertanyaan kemudahan tunggal untuk menguji kemudahan pengguna dengan hasil rank persentil tugas sebesar 89%, dan seq raw score sebesar 6.
KLASIFIKASI GENDER BERDASARKAN SUARA MENGGUNAKAN RECURRENT NEURAL NETWORK (RNN) Adherda, Diva Tifanny; Hikmatyar, Missi; Ruuhwan
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 1 (2023): Mei 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i1.3049

Abstract

The information technology field continues to progress rapidly. Technological progress is kept in check with such factors as touch, sight, and sound. Each man with another man has a characteristic difference, one that can be seen is by his voice. The processing of sound is an essential concept to all kinds of systems that require human interaction in its daily activities. One of the techniques used in processing speech is classification, which has a direct effect on speech recognition systems. SimpleRNN and LSTM are models of deep learning that can be used to classify sentiment. It can process data in such a sequence as sound, video, and text. These results provide accuracy 90% of the test data and 95% accuracy to the training data.
PENGEMBANGAN SISTEM DIAGNOSA HAMA DAN PENYAKIT PADA TANAMAN JAGUNG BERDASARKAN INTENSITAS KERUSAKAN MENGGUNAKAN METODE CERTAINTY FACTOR Kusumahdinata, R. Ramdan; Sudiarjo, Aso; Hikmatyar, Missi; Ramadhan, R. Arif Malik
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 1 (2023): Mei 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i1.3066

Abstract

Corn plants have the potential to be attacked by pests or diseases that can appear at any time such as leaf blight, leaf rust and downy mildew. Obstacles facing farmers are sometimes the lack of information about the symptoms found so that sometimes the diagnosis is not correct and the treatment is wrong, resulting in reduced corn production. Along with technological advances, a technology has also been produced that can adopt the process of human thinking, namely artificial intelligence technology or AI or Artificial Intelligence. including an expert system, which is a computer-based system that adopts the knowledge and experience of an expert, and reasoning techniques to solve a problem, similar to how an expert in a particular field solves the problem. The development that will be made is "Development of a Diagnostic System for Pests and Diseases in Corn Plants Based on Damage Intensity Using the Certainty Factor Method".
Membangun Aplikasi E-Learning Menggunakan Komputasi Awan Dengan Model Software As A Service (SAAS) Maji Sapdiaz; Panggabean, Tongam E.; Tarigan, Irwan Jani
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 1 (2023): Mei 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i1.3172

Abstract

Teknologi informasi saat ini berkembang dengan sangat kuat dan cepat dimana berpengaruh besar terhadap segala segi kehidupan masyarakat, salah satunya dalam bidang pendidikan sehingga memicu lahirnya ide e-learning. STMIK Methodist Binjai sudah memiliki virtual class berbasis web e-learning akan tetapi konten dalam e-learning yang dimiliki STMIK Methodist Binjai belum lengkap, dan desain kurang menarik karena hanya terfokus pada text based serta sering mengalami kendala hilang file saat proses mahasiswa mengirim tugas. Oleh karena itu, penulis mengembangkan sistem e-learning dengan memanfaatkan layanan dari komputasi awan menggunakan model Software as a Service (SaaS). Dengan memanfaatkan komputasi awan kebutuhan untuk server web dapat dengan mudah ditingkatkan kemampuannya, layanan saas ini memiliki fitur pembaruan otomatis dalam pemeliharaan perangkat lunak sehingga menghindari terjadinya bug. Jasa komputasi awan yang digunakan yaitu codeanywhere, dimana terdapat dua (2) implementasi yaitu Frond End dan Back End. Back End adalah bagian "awan" dari sistem mini, sedangkan Frond End terletak pada bagian pengguna atau client. Setelah dilakukan pengujian pada laptop, e-learning berbasis komputasi awan dengan menggunakan jasa codeanywhere dapat berjalan dengan baik secara online.
ANALISA WEBSITE FKIP UNSIKA BERDASARKAN PRINSIP INTERAKSI MANUSIA DAN KOMPUTER: FKIP UNSIKA WEBSITE ANALYSIS BASED ON PRINCIPLES OF HUMAN AND COMPUTER INTERACTION Putri Riyandoro, Affani; Ahzka Nabbilah Tuzzahrah; Azhari Ali Ridha
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 1 (2023): Mei 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i1.2870

Abstract

The website of the Fakultas Keguruan dan Ilmu Pendidikan Unsika functions as a platform for FKIP Unsika students to access information related to lectures. The purpose of analyzing the FKIP Unsika Website is to understand the relationship between system functions based on the principles and paradigms of Human and Computer Interaction (HCI). In analyzing the Website interface design, the author uses a heuristic evaluation method that evaluates human, technological, usability, and ergonomic aspects. The data used in this research was obtained through distributing questionnaires to respondents who have experience in designing and creating websites, and have a background in informatics. The results show that the rules in the heuristic evaluation method used, such as Visibility of system status, Match between the system and the real world, User control and freedom, Consistency and standards, Recognition rather than recall, and Flexibility and efficiency of use, have not been fully met because there are still problems that need to be fixed.
Evaluasi Komparatif Metode Machine Learning Untuk Memprediksi Perubahan Harga Saham Galih Adhi Putratama; Satya Maulana Fahreza; Yudhistira Rakha Ramandhani
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 2 (2023): November 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i2.2871

Abstract

Forecasting price patterns in the stock market poses a complicated and intricate task due to numerous uncertain factors and variables that influence market value. This study conducts a comparative evaluation of three popular computational learning approaches, namely Random Forest, K-Nearest Neighbors (KNN), and XGBoost, for predicting stock price changes. The research findings indicate that Random Forest achieves higher ROC scores, while XGBoost exhibits superior performance in relation to accuracy, recall, and precision. The Windowing method is also applied to the dataset to address overfitting issues. This study offers valuable knowledge for professionals and researchers in the domain of stock price prediction, enabling them to choose the optimal model based on preferred evaluation metrics.
PERANCANGAN DAN EVALUASI USER INTERFACE WEBSITE PEMESANAN DAN RESERVASI CAFE KAHURIPAN DENGAN DESIGN THINKING Ismi Aziz, Ahun; Prasetyo, Novian Adi; Sidiq, Muhammad Fajar
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 2 (2023): November 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i2.2922

Abstract

Cafe Kahuripan is a business engaged in the culinary field where customers can order menus and rent a place. Currently, the process of ordering menus and renting a place is done manually with customers coming directly to the place or contacting the admin via WhatsApp listed on Facebook. However, there is a decrease in subscribers from 2021 to 2022 due to a lack of marketing which is only limited to Facebook and Whatsapp. To overcome these problems, it is necessary to design a website as a solution to make it easier for customers to order menus and rent places online. In this design, it is necessary to pay attention to a good User Interface (UI) in order to increase the level of user trust and satisfaction. The website must also have easy access that can be done anywhere. Cafe Kahuripan website user interface design uses the design thinking method. The design of the user section, there are several pages such as home, about us, menu, reservation, contact us, order status and reservation status. The design of the admin section, there is an admin dashboard, customer data, menus, orders and reviews. The result of this study is the design of the user interface for the Cafe Kahuripan website from the user side (front-end), which allows users to order menus and rent places online. The results of the usability testing which obtained an average score of 79 is a good achievement and indicates that the UI design that has been carried out has succeeded in meeting user needs. Hypothesis analysis shows that the hypothesis H0 is rejected and H1 is accepted, this is in accordance with the average score of the System Usability Scale (SUS). Respondents' feedback was analyzed and improved according to the suggestions given based on the priority level to produce a better website for users.
Analysis of Student Reading Interest in UNSIKA Library with K-Means Algorithm Naibaho, Syela Herdina; Nailufar Farha Afifah; Yuyun Umaidah; Nono Heryana
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 18 No 1 (2024): Mei 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v18i1.2926

Abstract

This study aims to analyze students' reading interest at the Singaperbangsa Karawang University Library using the K-Means algorithm. The K-Means method is used to group books based on borrowing patterns, so as to provide better insight into students' reading preferences and assist libraries in managing book collections. Book borrowing data was obtained from the university librarian database, while literature study was carried out by studying and looking for references in related journals and literature. After the data is clean and can be processed, the clustering process is carried out using the K-Means algorithm by determining the value of k. The clustering results are displayed in the form of a table showing the groups of books that are frequently borrowed, books with a moderate borrowing frequency, and books that are rarely borrowed by students. Cluster quality evaluation was carried out using the Davies Bouldin value. The findings of this study indicate that the K-Means algorithm is effective in classifying books based on borrowing patterns. With a better understanding of students' reading interest, libraries can optimize the placement of books, increase the availability of books of interest, and develop strategies to increase overall student reading interest. The results of this study make a significant contribution to the development of university libraries and provide useful guidelines for decision-making in library management.
PENERAPAN DATA MINING UNTUK PERANCANGAN KOMPOSISI PENJUALAN PRODUK MNH GRAPHIC & ART Nita Tria Kurniawati; Hilman, Tamadara Hilman; Pramudita, Aditia Sovia
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 17 No 2 (2023): November 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v17i2.3029

Abstract

MNH Graphic & Art adalah suatu bisnis yang bergerak dalam dunia B2B untuk memperluas jangkauan bisnisnya. MNH Graphic & Art melakukan penjualan melalui marketplace online yang menyediakan berbagai produk alat dan bahan untuk melukis. Beberapa permasalahan yang terjadi adalah data hanya digunakan sebagai arsip perusahaan tanpa tindak lanjut, seharusnya data tersebut bisa dimanfaatkan untuk menyusun strategi penjualan untuk mengoptimalkan penjualan dan meramalkan persediaan. Tujuan penelitian ini yaitu mengetahui cara kerja data mining dalam menyusun komposisi penjualan, mengetahui peramalan persediaan, dan juga mengetahui kombinasi itemset. Penelitian ini menggunakan metode Algoritma Apriori, dimana dalam perhitungannya menggunakan Tanagra versi 1.4 dan juga diolah menggunakan Microsoft Excel, penelitian ini menggunakan data penjualan MNH Graphic & Art pada bulan April 2022 hingga Maret 2023. Berdasarkan hasil penelitian dan pengolahan data menggunakan metode Algoritma Apriori, frekuensi penjualan produk yang paling diminati konsumen sehingga dapat dijadikan sebagai informasi yang sangat berharga dalam pengambilan keputusan untuk mempersiapkan stok produk dan aturan asosiasi yang digunakan sebagai acuan dalam melakukan komposisi penjualan untuk kebutuhan penjualan bundling. Berdasarkan hasil penelitian, produk yang diminati adalah Copic sketch marker blue series (16,667%), DAS modelling materials white (66,667%), Cat anak giotto school paint 1000 ml (16,667%).
ANALISIS AKSESIBILITAS WEBSITE BERITA ONLINE MENGGUNAKAN METODE FUZZY ANALYTICAL HIERARCHY PROCESS (FAHP) DAN SIMPLE ADDITIVE WEIGHTING (SAW) Mukarromah, Firma; Parga Zen, Bita; Hebrasianto Permadi, Dimas Fanny
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 18 No 1 (2024): Mei 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v18i1.3046

Abstract

Teknologi saat ini berkembang cukup pesat, khususnya pada kasus penyebaran informasi melalui jaringan internet yang menjangkau masyarakat luas menggunakan website. Website news merupakan media penyampaian informasi berita memiliki peran penting dalam kehidupan sehari-hari, dengan demikian diperlukannya sebuah website yang mempunyai kualitas yang tinggi, akurasi dan cepat pada penyajiannya. Aksesibilitas adalah hal yang sangat mendasar untuk mengukur kualitas sebuah situs website khususnya website news sehingga dapat memberikan kemudahan kepada user pada saat mengaksesnya. Untuk menjawab permasalahan tersebut, diperlukan pengukuran guna mengamati prioritas dari semua kriteria dengan memanfaatkan konsep fuzzy yang bersifat subjektif. Fuzzy Analytical Hierarchy Process (FAHP) merupakan teknik yang digunakan untuk mendapatkan nilai bobot dari masing-masing kriteria. Dalam penelitian ini, empat situs web digunakan sebagai objek penelitian, antara lain Kompas.com, CNNIndonesia, Tempo.co dan Bisnis.com. Dari penelitian ini didapatkan sebuah hasil akhir yaitu website Bisnis yang menduduki ranking pertama dengan skor tertinggi 0,63 dan untuk ranking terakhir dengan memperoleh skor 0,11 diperoleh pada website Tempo.co. Permasalahan yang sering terjadi yang mempengaruhi aksesibilitas website adalah banyaknya elemen yang tidak diperbolehkan untuk digunakan pada posisi yang salah atau elemen yang digunakan kurang lengkap sehingga banyak tabel kosong yang menyalahi aturan WCAG 2.1.A 4.1.1 bagian 508(2017)A 4.1.1 dan sulit untuk digunakan oleh user.

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