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Bulletin of Information System Research
Published by CV. Graha Mitra Edukasi
ISSN : -     EISSN : 29632455     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Bidang Kajian dari jurnal Bulletin of Information System Research (BIOS), pada bidang ilmu komputer diantaranya, yaitu: Sistem Pendukung Keputusan Kecerdasan Buatan Data Mining Sistem Informasi Manajemen Informatika Sistem Pakar Big Data Text Mining
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 35 Documents
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Penerapan K-Means Clustering Dalam Menentukan Banyaknya Desa/Kelurahan Menurut Keberadaan dan Jenis Industri Kecil dan Mikro (Desa) Fania, Fira; Windarto, Agus Perdana; Hartama, Dedy
Bulletin of Information System Research Vol 1 No 1 (2022): Desember 2022
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i1.24

Abstract

Processing Industry is an economic activity that carries out activities to change a basic item mechanically, chemically, or by hand so that it becomes finished / semi-finished goods, and or goods of less value to goods of higher value, and which are closer to the end user. This study aims to model the grouping in determining the Number of Villages / Villages According to the Existence and Types of Small and Micro Industries (Villages). This research is a reference, especially for the government, so that the potential for employment in this industry group can continue to be developed and optimized. Government contributions can be realized through the creation of stable social, economic and political conditions and through the policy of determining the direction of business development of Micro and Small Industries. The data from this study were taken from a government statistical data provider website, BPS (Statistics Indonesia) www.bps.go .id. This research uses the K-Mens method and is tested with RapidMiner software to create 3 clusters, namely high, medium and low level clusters and see what the contents of the cluster are. From the research results obtained by high cluster data centroids namely ((2151.79), ( 1494.34), (1135.76), moderate clusters ((406.64), (525.06), (616,218), and low clusters ((455,361), (345,523), (1074.09), (176,434), (1410,34), (243,749), (295,151), (463,266), (5868,13), (9344.07), (170,925), (8818,85), (1031,65), (433,61), (5985,505), (1630,75), (367,928), (119,082), (560,907), (172,333), (545,342), (226,174), (776,643), (1880,857), (172,333), (545,342), (226,174), (776,643), (1880,853), (1880,853), (18,80,853), (1880,853), (1880,853), (1880,853), (1880,853), (1880,853) ), (1482.39), (115,573), (232,734), (187.04), (142,884), (455,674), (441,934) With this analysis expected to be input and information for the government of each region to pay more attention to regions micro / small industrial areas occupying low clushter (C1) positions in order to improve industrial quality in the region.
Implementasi Algoritma Winnowing Pada Aplikasi Ensiklopedia Alam Syaiful, Syaiful
Bulletin of Information System Research Vol 1 No 1 (2022): Desember 2022
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i1.25

Abstract

Encyclopedia is a summary that contains information on the field of science being discussed. Nature is everything that exists on this earth, be it geology or the living things in it. But in this modern era, there is still no special application that helps to access knowledge and information related to nature. Searching for information about nature through browsing has to go through different web pages, this is not very effective because it takes time and is certainly not efficient. The solution to the problem is with the Natural Encyclopedia search application which uses a string matching algorithm, which is an algorithm that can search for words (patterns) in a text sentence (string) to find a word and display a word found in the text. Winnowing algorithm is used in similarity detection using hashing function. Winnowing is an algorithm used to perform the document fingerprinting process.
Pendeteksi Untuk Tingkat Kemiripan Kata Pada Karya Tulis Ilmiah dengan Menggunakan Metode Nazief Adriani Damayamti, Arni
Bulletin of Information System Research Vol 1 No 1 (2022): Desember 2022
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i1.26

Abstract

Scientific writing is a written work that is used to solve problems with scientific methods in which it presents opinions, observations, facts, data, which will produce a written report carried out by a person or in a team by meeting ethical and scientific rules properly. and right. An essay or writing obtained in accordance with its scientific nature and based on the results of observation, review, research in a particular field, compiled according to a certain method with systematic writing in a polite language and its contents can be accounted for for its truth/scientific nature. With the development of communication and information technology that is increasingly rapidly causing the search for information and data is very easy and fast. However, with the development of this technology also causes various negative impacts such as word plagiarism. This study also aims to find the similarity of words or similarity to break words between the input word and the source word. The resemblance is not a synonym, but a word that is close to the actual word, Simmilarity is a very important issue in almost every field of knowledge. The function of Simmilarity is to look for word similarity and word dissimilarity between two observed objects. So with the Nazief-Adriani algorithm, which is used to find basic words in a sentence to be better, the Nazief-Adriani stemming algorithm produces better accuracy when compared to other algorithms because it is caused by various kinds of word variations and combinations of affixes that must be removed for the sake of to get the root word
Penyisipan Pesan Pada File Dokumen PDF Dengan Metode Pixel Value Differencing Surya, Putra Abdi
Bulletin of Information System Research Vol 1 No 3 (2023): Agustus 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i3.27

Abstract

Data is a collection of facts that can be in the form of numbers, symbols or writing obtained through an object. Data can be confidential and can also be public which means that it can be published. Confidential data is data that is not made to be published, but for private circles, because the data is data related to the company or its personal data. However, sometimes confidential data is often blamed for use by other people or third parties by taking or stealing the data for their personal interests and bringing down other people or companies. Given the rapidly developing technology today, it is possible for everyone to create a new technology to manipulate or steal confidential data. To overcome this problem, it is necessary to create data security, so that confidential data owned by a person or company cannot be taken or misused. The data security technique used to overcome this problem is the steganography technique. PVD is an insertion method that works by finding the two closest value differences. The difference is then used to determine the amount of data that can be inserted based on the selected data range. By utilizing this method, an application can be designed that can be used to secure data, especially in the insertion of messages into pdf document files.
Implementasi Mode Operasi Cipher Block Chaining (CBC) Untuk Mengoptimalkan Algoritma Affine Cipher Dalam Pengamanan Data Siregar, Salman
Bulletin of Information System Research Vol 1 No 3 (2023): Agustus 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i3.28

Abstract

Confidentiality and security of data is of paramount importance in data communication, both for the purpose of shared security, and for individual privacy. Computer users who want their data not to be known by unauthorized parties always try to find ways to secure the information to be communicated or to be stored. Protection of data confidentiality is increasing, one way is by applying the science of cryptography. Cryptography is one of the sciences used to maintain the confidentiality and security of data that has been developing since ancient Greece. Cryptography is growing from the cruel era to the present. One of the cryptographic methods that is quite reliable, stable and is the parent of the popular cryptographic algorithms today is Cipher Block Chaining (CBC). Cipher Block Chaining (CBC), this mode is a feedback mechanism on a block, and in this case the results of the previous block encryption are fed back into the current block encryption. The trick, the current plaintext block is XORed first with the previously encrypted ciphertext block, then the XOR results are entered into the encryption function. With the Cipher Block Chaining (CBC) algorithm, each ciphertext block depends not only on its plaintext block but also on all previous plaintext blocks.
Perbandingan Algoritma Elias Omega Code Dan Elias Delta Code Dalam Mengkompresi File Video (Mp4) Fitrya, Soraya Ainun
Bulletin of Information System Research Vol 1 No 3 (2023): Agustus 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i3.29

Abstract

The video file size is quite large where the better the video file quality and the longer the video file time, the file size is quite large in storing the file. With the video file size which greatly affects the length of time the video file is sent. The solution to this problem is to compress the video file. There are many algorithms in video file compression, for example the elias omega code algorithm, elias delta code, stout code, punctured elias code and many other compression algorithms. So with so many algorithms, it is necessary to test several compression algorithms or algorithm comparisons. Algorithm comparison aims to find out which algorithm is more accurate in carrying out the data compression process. The algorithms that will be compared are elias omega code and elias delta code. While the comparison parameters of the two algorithms are the compression ratio and space saving.
Data Mining Sistem Stock Opname Bahan Baku Catering Makanan Sehat Menggunakan Metode Min Max Stock Kesuma, Chyntia; Buulolo, Efori; Hutabarat, Hukendik
Bulletin of Information System Research Vol 1 No 1 (2022): Desember 2022
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i1.33

Abstract

Competition in today's business world is increasing, there are more and more innovations made by every entrepreneur to increase sales of the products they make so that they can be accepted in the market and in the community. One of them is Healthy Food Medan, a company engaged in healthy food catering. In making healthy food, it is necessary to stock up on good raw materials, so that one day the company does not lack stock of raw materials. Healthy Food Medan itself will not be separated from the so-called stock taking of raw materials. Of course, it is very interesting to be used as research material. Because of this, a computer program was created to determine the stock of raw materials so that there is no shortage of raw materials. In the application with the Min-Max method, it is expected that the user will no longer have difficulties in terms of stock of raw materials. The Min-Max method itself is a method that determines the maximum amount of inventory and minimum inventory so that there are no shortages and excess goods. Aims to avoid excess and shortage of raw materials by calculating the amount of raw material inventory
Implementasi Algoritma K-Nearest Neighbor(K-NN) Dalam Klasifikasi Kredit Motor Bu’ulolo, Efori; Tampubolon, Irma Suryani; Nababan, Christin Vebiola; Nasution, Lulu Nurhidayanti
Bulletin of Information System Research Vol 1 No 1 (2022): Desember 2022
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i1.34

Abstract

Determining the eligibility of applying for a motorbike loan to a leasing company is important, considering that if an error in decision making occurs it will have an impact on the loss of the FIF Group company. Therefore the authors created a Decision Support System using the K-nearest Neighbor method to determine the feasibility of applying for a motorcycle loan. The K-Nearest Neighbor (K-NN) algorithm is an algorithm in data mining to classify new objects based on the majority of the nearest neighbor categories. The K-NN clustering algorithm using data on income, employment, number of dependents and home ownership can group prospective new creditors to make it easier for staff to determine acceptance of prospective new motorcycle creditors
Sistem Pendukung Keputusan Pemilihan Lokasi Sampel Dalam Blok Sensus Pada Survei Angkatan Kerja Nasional Dengan Menggunakan Metode Fuzzy Logic Siregar, Khoiruddin; Pristiwanto, Pristiwanto; Sihite, A.M Hatuaon
Bulletin of Information System Research Vol 1 No 2 (2023): April 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i2.73

Abstract

The national labor force survey is a survey designed to get a general picture of employment and also to understand whether there have been changes in the structure of the workforce between enumeration periods. In this survey, not all census block areas were included in the enumeration and also not all families in the survey area were selected as the enumeration sites. So, for each selected region and household, it is hoped that it will be able to provide employment data based on education, working hours, industry classification and employment status as well as unemployment rates based on different characteristics and efforts to find work as well as the working age population that is not in the labor force. For this reason, to make efficient and effective decisions, here the author will use the fuzzy logic method because this method is very flexible where this method is able to adapt to changes and uncertainties, also has tolerance for imprecise data and can cooperate with control techniques. conventionally. The purpose of this study is to be able to make decisions about areas that are able to provide the information data needed in the labor force survey at BPS Padang Lawas Utara.
Sistem Pendukung Keputusan Penentuan Penerima Beras Raskin Di Desa Pearaja Kecamatan Sorkam Kota Sibolga Dengan Metode Preference Selection Indeks (PSI) Gultom, Yanti Rutmana
Bulletin of Information System Research Vol 1 No 2 (2023): April 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i2.74

Abstract

Rice for poor families or Raskin is a government program in tackling poverty. The Raskin program aims to help the poor and vulnerable groups to get enough food and carbohydrates without being constrained. However, in the implementation of the Raskin, there are many problems, one of which is the distribution of rice that is not targeted, to overcome a problem, a study was made to develop computer applications that help make decisions. Distribution of Raskin must be carried out properly, transparently and organized so that the Raskin received is right on target and really people in need. Therefore, a decision support system is needed to assist officers in selecting residents who are entitled to receive Raskin assistance based on predetermined criteria. The decision support system method used in making this decision is the Preference Selection Index (PSI) method. The Decision Support System for Raskin Rice Recipients in Pearaja Village, Sorkam District, Sibol City by using the Preference Selection Index (PSI) method provides convenience in processing data and making decisions to determine families who are unable and entitled to receive Raskin assistance and ease in making reports for Raskin recipients.

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