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All Journal JOIV : International Journal on Informatics Visualization BAREKENG: Jurnal Ilmu Matematika dan Terapan J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Tekno Kompak Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Insearch: Information System Research Journal Journal of Social Sciences and Technology for Community Service
Fernando, Yusra
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls Fernando, Yusra; Napianto, Riduwan; Borman, Rohmat Indra
Insearch: Information System Research Journal Vol 2, No 02 (2022): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v2i02.4359

Abstract

Gangguan kontrol impuls merupakan penyakit gangguan mental yang berkaitan dengan kesulitan untuk mengontrol emosinya maupun perilakunya. Gangguan kontrol impuls dianggap berbahaya karena penderitanya akan menglami kondisi dengan suasana hati yang emosional mapupun mudah tersinggung. Orang yang mengidap gangguan kontrol impuls memerlukan terapi khusus dan penanganan oleh psikolog ataupun psikiater. Penelitian ini bertujuan untuk mengimplementasikan algoritma Dempster-Shafer theory pada diagnosa penyakit psikologis gangguan kontrol impuls. Pendekatan Dempster-Shafer theory menitikberatkan pada proses pemberian tingkat keyakinan berdasarkan kombinasi antar bukti-bukti untuk memperkuat peluang. Sistem yang dikembangkan berbasis web agar memudahkan pasien atau pengguna untuk melakukan diagnosa. Sistem pakar yang dikembangkan dapat melakukan diagnosa berdasarkan gejala yang dialami oleh pengguna dan menghasilkan diagnosa serta penjelasan mengenai penyakit tersebut, penyebab dan cara penganannya. Hasil uji akurasi dengan membandingkan hasil diagnosis sistem pakar dengan seorang pakar, memperlihatkan nilai akurasi sebesar 85%. Ini artinya algoritma Dempster-Shafer dapat berjalan dengan baik pada kasus diagnosa penyakit psikologis gangguan kontrol impuls.
Aplikasi Web Untuk Visualisasi Web Scraping Menggunakan Metode VSM Nurkholis, Andi; Fernando, Yusra; Ans, Faris Arkan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.663

Abstract

The internet, like the workplace, is at the heart of every aspect of communal life in the modern digital era. Many platforms already provide job vacancies, especially for independent contractors. To identify relevant job openings, consumers typically need to access multiple websites to gather this information. One way to overcome this problem is to use web scraping. BeautifulSoup and Selenium libraries will be used to collect data in accordance with previous research findings. The vector space model approach is used to determine the degree of data similarity between queries and documents to perform data searches. After examining the data, a mean accuracy value of 56% was obtained and a mean perfect recall value of 100%. This is because, even if the context does not match, data searches use three parameters, increasing the likelihood of returning irrelevant material if the document contains words from the user's query. Users can manage the processes of web scraping, data processing, and data searching with the help of the Streamlit framework in Python, which displays the results of data processing. To obtain data from the Sribulancer, Project and freelancing freelancer websites, this research will use web scraping techniques. Users can search for data from multiple websites using a vector space model approach rather than accessing each loose website one by one. Web scraping results can also be processed to be displayed in a more user-friendly format and save time by using data visualization in the form of a web application built using the Streamlit framework.
Aplikasi Web Untuk Visualisasi Web Scraping Menggunakan Metode VSM Nurkholis, Andi; Fernando, Yusra; Ans, Faris Arkan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.663

Abstract

The internet, like the workplace, is at the heart of every aspect of communal life in the modern digital era. Many platforms already provide job vacancies, especially for independent contractors. To identify relevant job openings, consumers typically need to access multiple websites to gather this information. One way to overcome this problem is to use web scraping. BeautifulSoup and Selenium libraries will be used to collect data in accordance with previous research findings. The vector space model approach is used to determine the degree of data similarity between queries and documents to perform data searches. After examining the data, a mean accuracy value of 56% was obtained and a mean perfect recall value of 100%. This is because, even if the context does not match, data searches use three parameters, increasing the likelihood of returning irrelevant material if the document contains words from the user's query. Users can manage the processes of web scraping, data processing, and data searching with the help of the Streamlit framework in Python, which displays the results of data processing. To obtain data from the Sribulancer, Project and freelancing freelancer websites, this research will use web scraping techniques. Users can search for data from multiple websites using a vector space model approach rather than accessing each loose website one by one. Web scraping results can also be processed to be displayed in a more user-friendly format and save time by using data visualization in the form of a web application built using the Streamlit framework.
Penerapan Teknologi Augmented Reality Katalog Perumahan Sebagai Media Pemasaran Pada PT. San Esha Arthamas Fernando, Yusra; Ahmad, Imam; Azmi, Arief; Borman, Rohmat Indra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.298

Abstract

PT. San Esha Arthamas is a company engaged in the sale of housing. In marketing its products other than social media, the company uses a housing catalog in the form of a book. However, with this method, people feel confused and less interested in knowing and looking at the products offered. To assist in marketing, the product to be attractive, the housing catalog augmented reality (AR) technology was developed as a marketing medium. AR is a technology that can combine real and virtual objects in 3D in realtime. This research produces an application that can display the types of houses and can perform marker scans by pointing the smartphone camera at the catologist book from various angles including: top, left and right side and back. In addition, users can see interior, exterior, can zoom in, zoom out and rotate. Based on the questionnaire, it shows that the application has an impact in helping marketing with the results that 93% of respondents said they "agree". Overall, based on beta testing, it shows an average value of 88%, when converted the application is included in the "Good" category.
Penerapan Teknologi Augmented Reality Katalog Perumahan Sebagai Media Pemasaran Pada PT. San Esha Arthamas Fernando, Yusra; Ahmad, Imam; Azmi, Arief; Borman, Rohmat Indra
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.298

Abstract

PT. San Esha Arthamas is a company engaged in the sale of housing. In marketing its products other than social media, the company uses a housing catalog in the form of a book. However, with this method, people feel confused and less interested in knowing and looking at the products offered. To assist in marketing, the product to be attractive, the housing catalog augmented reality (AR) technology was developed as a marketing medium. AR is a technology that can combine real and virtual objects in 3D in realtime. This research produces an application that can display the types of houses and can perform marker scans by pointing the smartphone camera at the catologist book from various angles including: top, left and right side and back. In addition, users can see interior, exterior, can zoom in, zoom out and rotate. Based on the questionnaire, it shows that the application has an impact in helping marketing with the results that 93% of respondents said they "agree". Overall, based on beta testing, it shows an average value of 88%, when converted the application is included in the "Good" category.
COMPARISON OF EDGE DETECTION METHODS USING ROBERTS AND LAPLACIAN OPERATORS ON MANGO LEAF OBJECTS Darwis, Dedi; Fernando, Yusra; Trisnawati, Fika; Marzuki, Dwiki Hafizh; Setiawansyah, Setiawansyah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1815-1824

Abstract

Edge detection is a technique to find the outlines of an object in an image by detecting significant changes in brightness or discontinuities. This study discusses the comparison of edge detection using Roberts operators and Laplacian operators. The object used in edge detection is four types of mango leaves (Golek, Arum Manis, Madu, and Kuweni) with the *.jpeg format that has been pre-processed with 1000 x 278 pixels. The test used in this study compared the results of White Pixel values, MSE, and PSNR with test data as many as 24 data samples from four types of mango leaves. The results of the comparison of edge detection methods using the Laplacian operator get the lowest MSE value of 7.8577, the highest PSNR value of 39.2119, and the white pixel value of 164951, while the Roberts operator gets the lowest MSE value of 8.9723, the highest PSNR value of 38.6358, and the white pixel value of 155889.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN KEGIATAN EKSTRAKURIKULER BERBASIS WEB (STUDI KASUS : SMK MA’ARIF KALIREJO LAMPUNG TENGAH) Rahmanto, Yuri; Fernando, Yusra
Jurnal Tekno Kompak Vol 13, No 2 (2019): Agustus
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v13i2.339

Abstract

Ekstrakurikuler dalam pendidikan dimaksudkan sebagai jawaban atas tuntutan dari kebutuhan didik, membantu mereka yang kurang memperkaya lingkungan belajar dan memberikan stimulasi kepada mereka agar lebih kreatif. Suatu kenyataan bahwa banyak kegiatan pendidikan yang tidak selalu dapat dilakukan dalam jam-jam sekolah yang terbatas itu, sehinga terbentuklah perkumpulan anak-anak diluar jam sekolah yang dianggap dapat menampung dan memenuhi kebutuhan serta minat mereka.Pengelolaan kegiatan ekstrakurikuler pada SMK Ma’rif Kalirejo Lampung Tengah memiliki kendala, siswa yang mendaftar ekstrakurikuler mengumpulkan formulir pendaftaran sehingga menyebabkan penumpukan berkas. Penyampaian informasi ekstrakurikuler dengan cara ketua kelas menyampaikan kemasing-masing kelas, hal tersebut tentu akan menyita banyak waktu.Dari permasalahan diatas maka penulis membuat sebuah sistem informasi manajemen kegiatan ekstrakurikuler berbasis web dengan menggunakan bahasa pemrograman PHP, database MySQL dan dirancang menggunakan Unified Modeling Language (UML). Sistem ini diuji menggunakan metode pengujian ISO 9126 mengunakan aspek functionality dan usability.Hasil dari penelitian ini adalah sebuah sistem yang dapat membantu Pembina ekstrakurikuler dalam mengelola kegiatan ekstrakurikuler dan ketua ekstrakurikuler dalam mengelola informasi kegiatan ekstrakurikuler secara mudah.
Penerapan Aplikasi FashionFleet Berbasis AI untuk Meningkatkan Omset Penjualan dan Pengelolaan Manajemen Usaha Fernando, Yusra; Darwis, Dedi; Saputra, Febrian Eko
Journal Social Science And Technology For Community Service Vol. 6 No. 2 (2025): Volume 6, Nomor 2, September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i2.863

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kinerja usaha UMKM Toko Baju Starly melalui penerapan aplikasi FashionFleet berbasis Artificial Intelligence (AI). Permasalahan utama mitra meliputi pencatatan transaksi yang masih manual, kesulitan dalam perhitungan harga pokok penjualan (HPP), kurangnya pengelolaan stok, serta strategi pemasaran digital yang belum optimal. Metode yang digunakan dalam kegiatan ini mencakup pendekatan partisipatif, kolaboratif, dan pemberdayaan melalui pelatihan, pendampingan, serta implementasi aplikasi. Hasil evaluasi menunjukkan adanya peningkatan signifikan pada berbagai aspek, antara lain pemahaman penggunaan aplikasi (45% menjadi 85%), manajemen stok (40% menjadi 90%), pencatatan transaksi (50% menjadi 92%), strategi pemasaran digital (35% menjadi 88%), serta pengelolaan keuangan (48% menjadi 90%). Selain itu, omset penjualan juga meningkat sekitar 56% setelah penggunaan aplikasi. Dengan demikian, penerapan FashionFleet terbukti mampu meningkatkan efisiensi operasional, memperluas jangkauan pasar, dan mendukung kemandirian mitra dalam menghadapi tantangan era digital.
DECISION SUPPORT SYSTEM FOR SELECTING THE BEST MASTER PULSE DEALER TO DETERMINE MONTHLY BONUSES USING THE SIMPLE ADDITIVE WEIGHTING METHOD Yuwono, Bagus Prastowo; Fernando, Yusra
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.1992

Abstract

The pulse industry is one of the most dynamic and competitive business sectors, selecting the right master dealer is critical to ensuring optimal business performance. However, a manual selection process can be cumbersome. In this context, user of a decision support system (SPK) that uses simple additive weighting (SAW) are essential. This research aims to design and implement the SPK o.’[uj This research aims to design and implement a system that allows pulse business owners to select the best master dealer more efficiently and objectively. The SAW method is used to calculate the relative weight of each criterion used in the selection of master dealers, such as total transactions, total deposits, number of agents and product marketing. The use of this method makes it possible to assign a relative value to each criterion, according to the preferences and interests of the business owner. By using this SPK, they can determine the master dealer that best suits their business needs and maximize the monthly bonus earned. In addition, the integration of technology in the selection process can also improve operational efficiency and reduce human errors that may occur in manual processes. And in the ranking stage, the final result of the master dealer has been selected on behalf of Ilmi with the highest score of 1.0 and Gagah with the lowest score of 0.26.
A New Approach of Steganography on Image Metadata Fernando, Yusra; Darwis, Dedi; Mehta, Abhishek R; Wamiliana, Wamiliana; Wantoro, Agus
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2110

Abstract

In this paper, we introduce a novel method, Steganography on Image Metadata (SIM), to tackle the problem of robustness modification in steganography.  The SIM method works by embedding messages into the metadata storage space of digital media. Metadata is information embedded in a file that explains the file's content. The advantage of this method is that it does not alter the pixel values in the image, ensuring no degradation in media quality, and the secret message remains secure even when robustness manipulations are applied to the stego-image. To enhance data security, this paper also suggests using Fernet cryptography for message encryption during the embedding process into the cover-image. According to experimental evaluations, the SIM technique can attain a maximum PSNR value of 100 dB and an outstanding MSE value of 0. All robustness manipulation issues in steganography can be effectively addressed using the SIM method. Test results demonstrate that the SIM method can withstand symmetric and asymmetric cropping manipulations down to a pixel size of 1x1, and the message can still be extracted. Testing with image rotation manipulation also proves that the message can be successfully extracted even when the stego-image is rotated up to 180 degrees. Experiments with image resizing manipulation also confirm that the message can be recovered even when the stego-image undergoes up to 90% compression. Testing with color effects applied to the image also does not affect message extraction results.
Co-Authors Agus Wantoro Andi Nurkholis Ans, Faris Arkan Azmi, Arief Dedi Darwis Imam Ahmad Marzuki, Dwiki Hafizh Mehta, Abhishek R Napianto, Riduwan Nurhasan Nugroho Putro, Yogi Purnomo Rohmat Indra Borman Saputra, Febrian Eko Setiawansyah Setiawansyah Trisnawati, Fika Wamiliana Wamiliana Yuri Rahmanto Yuwono, Bagus Prastowo