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Buletin Ilmiah Informatika Teknologi
Published by AMIK STIEKOM SUMATERA UTARA
ISSN : -     EISSN : 29620945     DOI : -
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Mechanical Engineering
Buletin Ilmiah Informatika Teknologi, merupakan wadah ilmiah yang menampung tulisan yang berasal dari hasil penelitian baik dari dosen maupun mahasiswa. Buletin Ilmiah Informatika Teknologi merupakan jurnal yang menampung berbagai tulisan pada bidang Ilmu Komputer. Artikel ilmiah yang dikirim pada redaksi harus merupakan naskah asli dan tidak pernah dipublikasi ditempat lain. Artikel ilmiah dalam setiap penerbitan merupakan tanggungjawab penulis. Buletin Ilmiah Informatika Teknologi terbit dalam periode 4 (Empat) bulanan Bulan September, Januari, Mei dengan ISSN :2962-0945 (media online) dengan SK Nomor: 005.29620945/K.4/SK.ISSN/2022.11 Topik utama yang diterbitkan pada Jurnal Buletin Ilmiah Informatika Teknologi, yaitu: Decision Support System, Expert System, Kriptografi, AI, Machine Learning, Data Mining, Image Processing, Pengolahan Citra, serta topik lain dalam bidang Informatika (menggunakan Metode dalam penyelesaian masalah).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 3: Mei 2024" : 5 Documents clear
Implementasi Metode Metode ROC dan Electre dalam Pemilihan Penerima Bantuan Sosial Bangun, Budianto
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 3: Mei 2024
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v2i3.52

Abstract

Determining social assistance recipients is one of the complex problems faced by the government in order to improve people's welfare. One method that can be used to solve this problem is to use a multicriteria decision-making method. In this research, two multicriteria decision-making methods, namely the ELECTRE (Elimination and Choice Expressing Reality) and ROC (Rank Order Centroid) methods, are implemented to assist in the process of selecting social assistance recipients. The ELECTRE method is used to perform pairwise comparisons between alternatives based on predetermined criteria. By using this method, unqualified alternatives will be eliminated, so that only the best alternative will be selected. Meanwhile, the ROC method is used to determine the weight of the criteria based on the ratings given by the decision maker. With this method, the ranking of each criterion is converted into a proportional weight, so that it can be used in the alternative evaluation process. From the results of the above calculations using the electre and roc methods, the alternative with the highest total score value is obtained, namely A7 Hasanudin Hasibuan
Implemtasi Metode Promethee III Untuk Menentukan Calon Penerima Bantuan Langsung Tunai Akibat Pandemi Covid-19 Silalahi, Herdawini
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 3: Mei 2024
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v2i3.55

Abstract

Direct cash assistance or abbreviated as BLT is a government assistance program for providing cash or a variety of assistance used from village funds and for the poor and underprivileged people, this assistance is an activity to handle the impact of the Covid-pandemic. 19 because it can have an impact on side effects on the economy. The funds that will be used for prospective recipients of direct cash assistance will come from village funds to reduce the economic impact of rural areas. The problems that arise at this time, from the covid-19 pandemic that hit the Indonesian nation, make people restless in various regions and cities, which impact on the difficulty of the community's economy due to decreased daily income. In determining candidate participants who are eligible to receive direct cash assistance sourced from village funds. Prospective recipients of direct cash assistance as a criteria for candidates who have lost their jobs, poor families who live in the village concerned. From the results of research on decision support systems using the PROMETHEE III method because this method can be used to find rankings and determine a decision from several criteria where all the data from each criterion obtained can make it easier to determine potential participants who receive direct cash assistance due to the pandemic covid-19
Analisa Fungsi Hash Untuk Mendeteksi Otentikasi File Video Menerapkan Metode N-Hash Hebert Harianja, Marjadi
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 3: Mei 2024
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v2i3.56

Abstract

Masalah yang terdapat pada ruang lingkup video adalah video tersebut dapat ditonton oleh orang yang tidak berhak jika file video perlu diamankan dengan pengaman yang baik. Sehingga perlu merancang aplikasi pemutar video dan menerapkan enkripsi dan deskripsi pada aplikasi yang dirancang tersebut. N-HASH hanya dapat menghasilkan16 byte cipherteks sementara masukan atau input yang berbeda tersebut yaitu jika input 4 byte maka outputnya 16 byte dan jika input 16 byte maka outputnya 4 byte. Hasil dari mendeteksi otentikasi file video memiliki banyak data jika dalam byte data tersebut sangat sulit untuk enkripsi dengan N-HASH.
Implementasi Algoritma Approximate String Matching Pada Aplikasi Pengarsipan Dokumen Ekspor Barang Annisa Sihotang, Yola
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 3: Mei 2024
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v2i3.57

Abstract

This thesis proposal raises the title "Implemetation of Approximate String Matching Algorithm in Export Document Filing Application (Case Study: PT. Chitra Kalpika Mas Kab.Deli Serdang". This proposal is made based on observations made at PT. Chitra Kalpika Mas by looking at the filing system. Export documents are still done manually, the author makes a new system design to improve the old system.The problems studied in this study are how to search for export document archives and the obstacles faced by PT. Chitra Kalpika Mas. And what obstacles have been taken to overcome the existing obstacles. Therefore, we need an application program that can help employees complete their tasks to make it easier, one of which is to search for export document archive data.Based on the research results, it can be concluded that the search for export document archives at PT. Chitra Kalpika Mas is still done manually. Therefore, it is necessary to design a new application using a computer program in accordance with the needs of office employees so that use is easier to obtain quickly and accurately. With the design of an export document archive application, it can facilitate report processing, additions, changes, and deletions of data and can provide information whenever needed
Pendekatan TF-IDF, SMOTE, dan SVM dalam Klasifikasi Sentimen Masyarakat terhadap Pemblokiran Judi Online
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 3: Mei 2024
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v2i3.65

Abstract

Judi online adalah topik hangat di kalangan masyarakat. Salah satu pembicaraan terkait judi online yang muncul adalah apakah seharusnya pemerintah melakukan pemblokiran situs judi online. Ada beberapa sisi dari pembahasan ini, seperti apakah pemblokiran itu benar akan membantu mencegah adiksi judi online dan apakah justru seharusnya pemerintah melegalkan judi online. Untuk membantu dalam menavigasi wacana hangat ini, dibangunlah sebuah sistem yang dapat mendeteksi dua sisi sentimen terhadap pemblokiran judi online. Model dilatih dengan dataset yang diseimbangkan dengan SMOTE karena tidak meratanya kelas klasifikasi, lalu diboboti dengan TF-IDF untuk dapat fokus pada kata-kata berbobot tinggi. Model klasifikasi yang dibangun dengan Support Vector Machine mencapai tingkat akurasi 61.54% dengan tolak ukur evaluasi confusion matrix. Online gambling is currently a hot topic among internet netizens. One of the talking points in the discourse was how should the government handle blocking online gambling sites. There is multiple sides to the discourse, such as does blocking the sites actually help in preventing gambling addiction or would legalizing it be the right policy instead. To help navigate this controversial topic, a system was built to differentiate the two sides of the argument towards blocking online gambling sites. The model is trained on a dataset that is first balanced with SMOTE, then weighted with TF-IDF to give focus to vocal tokens of the discourse. The classification model was built with Support Vector Machine and reached an accuracy level of 61.54% when evaluated with a confusion matrix.

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