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INDONESIA
JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Published by Politeknik Negeri Batam
ISSN : -     EISSN : 25486861     DOI : 10.3087
Core Subject : Science,
Computer Science & IT
Journal of Applied Informatics and Computing (JAIC) Volume 2, Nomor 1, Juli 2018. Berisi tulisan yang diangkat dari hasil penelitian di bidang Teknologi Informatika dan Komputer Terapan dengan e-ISSN: 2548-9828. Terdapat 3 artikel yang telah ditelaah secara substansial oleh tim editorial dan reviewer.
Arjuna Subject : -
Articles 148 Documents
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Analisis Proses Reduksi Dimensi dengan Metode Frequent Itemset Mining pada Sistem Rekomendasi Referensi Karya Ilmiah Dini Nurmalasari; Warnia Nengsih
Journal of Applied Informatics and Computing Vol 5 No 2 (2021): December 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i2.3332

Abstract

Salah satu tahapan dalam penelitian yang harus dilakukan adalah mencari referensi jurnal yang relevan dengan penelitian yang akan dikerjakan. Dalam melakukan pencarian referensi, biasanya peneliti memasukan kata kunci atau keyword yang sesuai dengan tema yang akan diteliti. Kata kunci tersebut biasanya terdiri dari satu atau dua kata, sehingga hasil yang didapatkan kurang sesuai dengan pencarian yang diinginkan, atau diperlukan studi literatur yang cukup banyak untuk mencukupi referensi keseluruhan penelitian. Pada penelitian ini akan dilakukan pencarian referensi yang relevan dengan menggunakan masukan berupa dokumen teks publikasi ilmiah atau jurnal ilmiah. Dokumen teks yang dijadikan masukan, akan dilakukan ekstraksi kemudian akan dicari tingkat kemiripan dengan dokumen lain dalam database. Keluaran dari system ini berupa daftar dokumen yang relevan dengan masukan dokumen teks beserta persentase kemiripannya. Melalui system rekomendasi referensi karya ilmiah yang dibuat dengan menerapkan metode frequent itemset mining (FIM), akan dilakukan analisis keberhasilan reduksi dimensi yang dapat mempengaruhi akurasi hasil. Dari pengujian yang telah dilakukan diperoleh bahwa FIM berhasil mereduksi dimensi fitur kata dengan rata-rata sebesar 80,17% menggunakan minimum support 0,1. Sehingga dapat disimpulkan bahwa metode FIM efektif dalam melakukan reduksi dimensi sehingga menjadi salah satu factor yang mempengaruhi akurasi hasil.
Sistem Penjadawalan Satpam Menggunakan Algoritma Genetika dan Seleksi Tournament Ilham Firman Ashari; Ardi Gaya Manalu; Rahmat Setiawan; Mugi Praseptiawan; Dita Alviuni P; Sisilia Juli A
Journal of Applied Informatics and Computing Vol 5 No 2 (2021): December 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i2.3464

Abstract

Institut Teknologi Sumatera (ITERA) is one of the new state universities on the island of Sumatra. ITERA has developed and has a large area and many buildings, of course it requires a lot of security guards to maintain security and order in the campus environment. The working hours of security guards at ITERA are from morning to night. ITERA is required to make a watch or shift schedule for security guards, where currently the scheduling is still done manually and has not been systemized automatically. Genetic Algorithm can be used in the scheduling process automatically and optimally by going through several stages. The result of the research is that the automatic scheduling system was successfully built, from the security data used as many as 16 data obtained scheduling from Monday to Sunday along with its working hours.
Optimasi Support Vector Machine Berbasis Particle Swarm Optimization Untuk Mendeteksi Hate Speech Pilkada Karawang Wahyuningrum Ayu; Rijal Abdulhakim; Yuyun Umaidah; Jajam Haerul Jaman
Journal of Applied Informatics and Computing Vol 5 No 2 (2021): December 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i2.3473

Abstract

The rise of hate speech on social media can harm various parties, including the candidate for regional head of Karawang Regency in 2020, but because of the large number of comments, the sanctions given to violators are not evenly distributed. To make it easier for Bawaslu to give sanctions to violators and to provide a deterrent effect to the Karawang community so that hate speech does not occur again. Therefore, this study was conducted by classifying positive and negative comments. The methodology used is Knowledge Discovery in Database (KDD) by dividing the data into 4 scenarios. The results obtained state that the Support Vector Machine (SVM) Algorithm with scenario "2" on a linear kernel gets the highest accuracy value of "72.66%". Then the results of the 4 scenarios were optimized by Particle Swarm Optimization which got the highest accuracy value, namely the linear and polynomial kernels in the 4th scenario with 90:10 data sharing of "78.00%". Other evaluation values ​​also experienced the same increase, starting from precision, recall, and f1-score. It can be concluded that the Support Vector Machine algorithm optimized with Particle Swarm Optimization can increase the accuracy value.
Implementasi Metode YOLO-V5 pada Sistem Deteksi Social Distancing Berbasis Real-Time Imam Husni Al Amin; Falah Hikamudin Arby
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3484

Abstract

The world is in an uproar with the Covid-19 pandemic, which has had an impact on society. Various efforts have been made by governments around the world to suppress the spread of the Covid-19 virus. One of the health protocols that have been appealed by the government is social distancing or social restrictions, namely limiting interactions between human beings as long as 1-2 meters. But in reality, there are still many people who ignore social distancing policies. The application of a social distancing detection system can be a solution to this problem. This system aims to detect people who are violating health protocols in the form of social distancing and then issue a voice warning to keep their distance from others to avoid the spread of the Covid-19 virus by using the YOLO-v5 method which is the latest version of YOLO (You Only Look Once). . Processing speed of YOLO-v5 has increased drastically with the fastest speed reaching 140 Frames Per Second (FPS) and has a small size, even having a size of 90% compared to the previous version. The accuracy of human detection using YOLO-v5 from this system reaches 83.28% and the accuracy of social distancing detection reaches 90.8%. From the results of the percentage analysis that has been carried out, it can be concluded that the system that has been created can function well for social distancing detection, but it is difficult to detect if humans are too far from the camera.
Application of Data Mining with the K-Means Clustering Method and Davies Bouldin Index for Grouping IMDB Movies Ilham Firman Ashari; Romantika Banjarnahor; Dede Rodhatul Farida; Sicilia Putri Aisyah; Anastasia Puteri Dewi; Nuril Humaya
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3485

Abstract

Along with the development of technology, the film industry continues to increase, this can be seen from the number of films that appear both in cinemas and tv shows. The Internet Movie Database (IMDb) is a website that provides information about films from around the world, including the people involved in the films. Information contained on IMDB such as actor/actress, director, writer, to the soundtrack used. In addition, IMDb is the most popular and trusted source of information for movies, TV, and other celebrity content. In this case, the researcher will conduct research on the film with what title is the most popular among the public by looking at some of the parameters contained in IMDB such as the number on the rating, score, certificate, and votes obtained from the audience. The data used comes from the Kaggle.com website. The data mining method used is the K-Means clustering method. To find out the optimal cluster value, the Davies Bouldin index is used. The K-Means algorithm will group the data based on the centroid. The parameters used for clustering are runtime, IMDB rating, meta score, number of votes, and gross. The results of the study obtained that the average calculation of the highest attributes was 48.74 and the number of clusters formed was 4 clusters. The results of the evaluation using the confusion matrix obtained an accuracy value of 100%.
Analisis Penerimaan Aplikasi Transportasi Online di Kepulauan Riau Menggunakan Metode Technology Acceptance Model Mangapul Siahaan; Kelvin Kurniawan
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3509

Abstract

Traffic density in the Riau Islands area is increasing day by day. Population density that has exceeded this threshold causes congestion on the road which causes losses to people who are carrying out activities. As e-commerce grows rapidly, it becomes a push for e-commerce applications that develop in line with the community's need for online application-based services that operate on smartphones. The application of online application-based transportation services that are growing rapidly. One of the factors of this online application-based transportation service innovation is the growing number of internet services offered by internet service providers and more and more internet users, so that the internet becomes a necessity and lifestyle for the community. This research is a development of previous research in examining the factors that influence public acceptance of online transportation applications using the UTAUT2 research model; the current study uses the Technology Acceptance Model research model. This questionnaire was distributed to 400 respondents to the residents of the Riau Islands using Amos and SPSS. The results of the analysis of transportation application online acceptance in Riau Kepulauan using Technology Acceptance Model were seen from the construct of behavioral intention use to attitude toward using is 100%, actual system use to behavioral intention to use is 94.7%, perceived usefulness to perceived ease of use is 80.3%, attitude toward using to perceived usefulness is 47.6% whereas behavioral intention use to perceived usefulness is not effected as positive.
Penyembunyian Pesan Terenkripsi pada Citra menggunakan Algoritma LSB dan Transposisi Kolom Kiswara Agung Santoso; Ahmad Tanto Wiraga; Abduh Riski
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3819

Abstract

Data security is a very important thing to do so that messages or information are sent to someone who is not known by unauthorized persons. Data security techniques that The ones that are often used today are cryptography and steganography. In this study, the data is to be secured in text. To increase security, text messages are first encrypted using the vigenere algorithm and column transposition. This text message is then hidden into an image (cover image). The encrypted text message was hidden in the image using the LSB algorithm and column transposition. The results of the study show that the virtual stego image generated is very effective similar to the original image. Based on the results of the MSE and PSNR analysis, it can be seen that the resulting image quality can be categorized as good. This can be seen from the PSNR value above 50 dB and some even above 60 dB. Based on the results of the LSB analysis, the stego image does not look strange so it will not be suspected by unauthorized people that there is a hidden message in the image.
Clustering Data Penduduk Miskin Dampak Covid-19 Menggunakan Algoritma K-Medoids Novi Widiawati; Betha Nurina Sari; Tesa Nur Padilah
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3266

Abstract

Kemiskinan merupakan masalah yang mendasar, kemiskinan bisa berakibat pada terhambatnya pembangunan nasional. Ada beberapa aspek yang berkaitan dengan kemiskinan yaitu faktor ekonomi, politik, dan psikososial. Secara ekonomi, kemiskinan diartikan sebagai kurangnya sumber daya untuk memenuhi kebutuhan hidup dan meningkatkan kesejahteraan. Pada penelitian ini data yang digunakan pada tahun 2020 yang bersumber dari Badan Pusat Statistika. Dalam upaya menemukan kasus kemiskinan dampak covid-19 dapat menggunakan Data Mining. Tujuan dari penelitian ini untuk mengelompokkan kabupaten/kota yang memiliki kemiskinan dampak covid-19 dengan tingkat tinggi dan rendah di Indonesia. Penelitian yang akan dilakukan dengan langkah data mining yaitu CRISP-DM (Cross Industry Standart for Data Mining) yang terdiri dari 6 fase yaitu pemahaman bisnis (business understanding), pemahaman data (data understanding), pengolahan data (data preparation), pemodelan (modelling), evaluasi (evaluation), dan penyebaran (deployment). Algoritme yang digunakan pada penelitian ini yaitu K-Medoids. Pengukuran menggunakan bahasa R dengan bantuan fungsi Pamk sehingga hasil yang didapatkan pada dataset Penduduk Miskin Tahun 2020 memiliki cluster optimal sebanyak 2 cluster. Cluster1 dengan jumlah 121 kabupaten/kota dengan kategori tinggi, sedangkan cluster2 dengan jumlah 427 dengan kategori rendah. Hasil dari evaluasi nilai Silhouette Coefficinet sebesar 0,4735719 .
E-Book Pelajaran IPA Berbasis Mobile (Studi Kasus: Pelajaran IPA Kelas 5 SD) Evaliata Br Sembiring; Wachid Zaini
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3326

Abstract

Buku Sekolah Elektronik merupakan sebuah buku digital atau elektronik agar dapat membantu proses pembelajaran peserta didik dimanapun dan kapanpun berada. Pembuatan ebook ini didasarkan karena pandemi covid-19 yang menyebabkan pembelajaran dilakukan dari rumah. Proses pembuatan e-book menggunkan pendekatan Luther Sutopo dengan memanfaatkan beberapa tool antara lain: Framework React Native, HTML, PHP, Javascript Framework, AngularJS, dan Node.js. E-book yang dihasilkan, dianalisis menggunakan metode evaluasi goal-attainment untuk mengetahui tingkat pemahaman minat belajar siswa. Hasil penelitian adalah: (1) E-book berhasil dibuat dalam bentuk aplikasi mobile dengan memenuhi kategori e-book yaitu dilengkapi dengan fitur login untuk keamanan pengguna, materi pelajaran dalam bentuk video, pdf, gambar dan evaluasi dalam bentuk soal pilihan ganda; (2) Produk telah digunakan oleh responden (siswa) dan berdasarkan analisisi goal attainment, diperoleh nilai MOS sebesar 4.6 berarti pengguna aplikasi sangat puas menggunakan aplikasi sehingga layak dijadikan alternatif media pembelajaran siswa di rumah.
RETRACTED: Pengamatan Tren Ulasan Hotel Menggunakan Pemodelan Topik Berbasis Latent Dirichlet Allocation Suparyati Suparyati; Emma Utami; Agus Fathurahman
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3645

Abstract

Artikel dengan judul "Pengamatan Tren Ulasan Hotel Menggunakan Pemodelan Topik Berbasis Latent Dirichlet Allocation" telah dilakukan pencabutan artikel (RETRACT) dari vol. 6 no. 1 tahun 2022 Journal of Applied Informatics and Computing (JAIC), karena ditemukan duplikasi publikasi oleh penulis yang bersangkutan pada JIKO (Jurnal Informatika dan Komputer) https://ejournal.akakom.ac.id/index.php/jiko/article/view/579Penulis meminta maaf dan meminta untuk melakukan pencabutan artikel dari Journal of Applied Informatics and Computing (JAIC). Berikut surat permohonan pencabutan artikel dari penulis disini.

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