{"title":"Implementasi Algoritma SHA-256 Pada Aplikasi Duplicate Document Scanner","authors":"Sopiana Nainggolan","doi":"10.30865/resolusi.v2i5.368","DOIUrl":"https://doi.org/10.30865/resolusi.v2i5.368","url":null,"abstract":"On a computer, if we duplicate a file, the duplicated file is no different from the first file and this can be done in a fairly short time. In this case, what will be duplicated is a word document file with docx extension. SHA (Secure hash Algorithm) is a hash algorithm that is relatively new. The selection of the SHA-256 algorithm is inseparable from several previous studies that have examined the performance of this algorithm. The SHA-256 algorithm is able to detect changes that occur in digital images even though the changes that occur are only 1 pixel, the small differences that occur in the image produce a very significant difference from the hash value with an accuracy level of up to 100%. SHA - 256 produces a message digest with 256 bits in length. SHA - 256 is classified as safe because it is designed in such a way that it is not possible to get messages related to the same message digest.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129507520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sistem Penunjang Keputusan Pemilihan Supplier Terbaik Dengan Metode Analythical Hierarchy Process Pada PT. Konten Indomedia Pratama","authors":"Rahma Putri Rizqika, Eva Zuraidah","doi":"10.30865/resolusi.v2i4.326","DOIUrl":"https://doi.org/10.30865/resolusi.v2i4.326","url":null,"abstract":"Decision making is basically a form of choosing from a variety of alternatives that may be chosen. Before choosing these alternatives, accurate data is needed for making a decision. If the data entered is inaccurate, the calculation process can result in inappropriate results so that the resulting alternative decision is inaccurate and precise. For a good supplier selection process, a system is needed, so that the selected results are more accurate and precise. The system used is the analytical hierarchy process (AHP) method. Data was collected by means of interviews, observations and literature studies. From these results, the ranking values ??for suppliers are obtained, including: Doungguan Ageless Health Industrial Co.,Ltd ranks 1st with a value of (20.9%), Mediatech.id ranks 2nd with a value of (17.3%) , Huizhou Xiao'ou Technologhy Co., Ltd is in 3rd place with a score of (14%), Purelizer Official Shop is in 4th place with a score of 10.3%, Healicom Medical Equipment Co.,Ltd is in 5th place with a score of (8.60%), Beiqi Industry Development Co.,Ltd ranks 6th with a value of 7.8%, OULI Group (HK) LIMITIED ranks 7th with a value of (6.1%), Medsinglong Global Group Co.,Ltd ranks 8th with a score of (5.8%), P Hangzhou Clongene Biotech Co.,Ltd Hangzhou Clongene Biotech Co.,Ltd ranks 9th with a value of 5.10% and the last Shenzhen UV Green Technology Co., Ltd ranked 10th with a value ( 4.1%). Data processing is carried out using one of the MCDM (Multi Criteria Decision Making) methods, namely the Analytical Hierarchy Process (AHP) method, with the result that the supplier Doungguan Ageless Health Industrial Co., Ltd. was determined as the best supplier.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Putra Pratama Siregar, S Solikhun, Zulia Almaida Siregar
{"title":"Penerapan Metode K-Means Dalam Mengelompokkan Persebaran Lahan Kritis Di Indonesia Berdasarkan Provinsi","authors":"Putra Pratama Siregar, S Solikhun, Zulia Almaida Siregar","doi":"10.30865/resolusi.v2i4.335","DOIUrl":"https://doi.org/10.30865/resolusi.v2i4.335","url":null,"abstract":"The study aims to group the distribution of critical land in Indonesia by province. To solve this problem, researchers applied the K-Means Algorithm method. Where the source of research data is collected based on documents - documents of Information on The Extent and Dissemination of Critical Land By Province produced by the Central Statistics Agency (BPS). The data used in the study was data from 2011, 2013 and 2018 consisting of 34 provinces. Data will be processed by clustering in 2 clusters, namely clusters of high critical land distribution rates and clusters of low critical land distribution rates. The high cluster amounted to 4 data, namely the provinces of North Sumatra, Jambi, East Java, and Central Kalimantan. With the conduct of research can contribute in improving the performance of Balai Pengelolaan Daerah Aliran Sungai dan Hutan Lindung (BPDASHL) on the process of fixing and tackling critical land in the provinces in Indonesia.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130490495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penerapan Jaringan Syaraf Tiruan Backpropagation Dalam Memprediksi Jumlah Pertumbuhan Kendaraan Di Provinsi Sumatera Utara","authors":"Bagus Supranda, S Solikhun, Zulia Almaida Siregar","doi":"10.30865/resolusi.v2i4.333","DOIUrl":"https://doi.org/10.30865/resolusi.v2i4.333","url":null,"abstract":"Motorized vehicles are part of the need for transportation of vehicles that are derivatives due to economic, social, and other activities. The growth of vehicles is not proportional to the population in the province of North Sumatra. This causes various negative impacts, one of which is an increase in traffic congestion, air pollution from motorized vehicles which causes an increase in greenhouse gas emissions. Based on this problem, it is necessary to predict the number of vehicles in North Sumatra Province using the backpropagation algorithm artificial neural network. The results of trials carried out with MATLAB R2011b software, the best architectural model is the 2-2-1 model with an accuracy rate of 94% with MSE number 0.000208514, epoch value 789. It can be concluded that the Backpropagation method can be used as one of the predictive methods that make it easier to find predictions. Whatever.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114558390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rancang Bangun Sistem E-Recruitment Karyawan Pada Intrack Market Services Sdn Bhd","authors":"Guntur Hertanto, Eva Zuraidah","doi":"10.30865/resolusi.v2i4.322","DOIUrl":"https://doi.org/10.30865/resolusi.v2i4.322","url":null,"abstract":"The Covid-19 outbreak in our country has forced the acceleration of the digitalization era to avoid crowd in many ways, including the recruitment of new employee in targeted countrys. Besides that, Business expansion must continue, therefore looking for potential employees according to the company's competence is very necessary. The previous recruitment system by sending application files directly or by an e-mail followed with face-to-face interview was very difficult due to limited mobility during this pandemic. An e-recruitment system that can be accessed via the internet is expected to be a solution because applicants only need to send via website anywhere anytime and for companies they can do the screening from anywhere. The author starts with the assessment phase of previous research and then makes several UML such as use case diagrams, activity diagrams, deployment diagrams, component diagrams, class diagrams, and sequence diagrams. The author use the RAD method which emphasizes saving time on processing so that it can be immediately implemented using the PHP programming language assisted with framework Laravel and MySQL for the database. After that, do testing with Black Box Testing and prove that the e-recruitment system is able to run well as a company tool in getting employees by minimizing time and cost and being a place for storing applicant files efficiently as expected.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126397745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pengembangan Teknologi Tepat Guna Erp Untuk Modul Crm (Kampoeng Kuliner Brenzeel 48)","authors":"Agus Darmawan, Dwi Tjahjo Seabtian","doi":"10.30865/resolusi.v2i4.358","DOIUrl":"https://doi.org/10.30865/resolusi.v2i4.358","url":null,"abstract":"Development of the application of Enterprise Resource Planning (ERP) as one of the supports for the operation of a business field that is integrated with business and has better data accuracy. An ERP system consists of various modules and sub-modules that can represent specific business components. If data is entered in a module (eg data on rice uduk sales) then other modules such as payment and inventory will be automatically updated as well. These updates occur in real time or right at the time of the sale. Implementation of Customer Relationship Management (CRM) or customer relationship management which is indirectly said to be computerized customer data. This is so that the company knows what the needs and desires of customers are so that good relationships can be established with customers. Many companies focus on high satisfaction because many dissatisfied customers are easy to think about getting a better offer. Those who are very satisfied have a harder time changing their minds. High satisfaction or pleasure creates emotional attachment to the company","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132527106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementasi Pengurangan Noise Pada Citra Rontgen Paru Menggunakan Metode Filter Adaptive-Hierarchical","authors":"Esra Putri Sion Situmorang, Nelly Astuti Hasibuan, Saidi Ramadan Siregar","doi":"10.30865/resolusi.v2i3.308","DOIUrl":"https://doi.org/10.30865/resolusi.v2i3.308","url":null,"abstract":"Salt & Paper Noise Is A Form Of Noise That Is Used To See Black Or White Dots On An Image The Cause Is An Error Or Damage To The Pixels In The Image. X-ray or radiography is the use of ionizing rays to form the image of the object being studied on film, radiography is generally used to see objects that are not transparent, for example, the inside of the human body. X-ray images often have unclear results, because the image is taken using X-Ray rays, the x-ray results usually have a black and white color, and can be clearly seen when placed right in front of a light source. The light source only helps to see the shadow of the image, but does not improve the quality of the image and reduce noise or dots in the image. For this reason, the author intends to try to implement the X-ray results using the Adaptive-Hierarchical filter method with the aim of eliminating noise or dots in the X-ray image and clarifying the existing image shadows. With the Adaptive-Hierarchical Filter Method I Use Two Noise Detection Methods Where Is Detection For Noise In Medium And Smooth Areas Where Noise Detects In Rusal Or Salt Pixels And Paper Detects For Noise In Strong Areas Or You Can Call It Edge Detection On Noise On The Edges Using Only Pixels That Have Been Defined","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penerapan Algoritma C4.5 Untuk Klasifikasi Pola Kepuasan Pelayanan E-KTP Di Kantor Camat Pematang Bandar","authors":"Purnama Nuraini, Jaya Tata Hardinata, Yuegilion Pranayama Purba","doi":"10.30865/resolusi.v2i3.313","DOIUrl":"https://doi.org/10.30865/resolusi.v2i3.313","url":null,"abstract":"This study applies the C4.5 algorithm for the classification of satisfaction patterns of E-KTP services at the Pematang Bandar Sub-District Office. This type of research is a classification with the concept of data mining by involving 140 questionnaire data on the satisfaction of E-KTP services at the Pematang Bandar Sub-District Office which are categorized as: very satisfied, satisfied, quite satisfied, dissatisfied. There are four attributes that affect the satisfaction of E-KTP services including: registration, recording, time, service. The method used in this research is knowledge discovery in database (KDD) to determine data accuracy. The results showed that there was an accuracy rate of 95.24%, with a class precision value of 93.33% for satisfied predictions and a class precision value of 100.00% for dissatisfied predictions. Class recall for satisfied is 100.0% and class recall for dissatisfied is 85.71%. From the results of research that has been done by researchers, it can be concluded. E-KTP service satisfaction can be classified by utilizing data mining techniques using the C4.5 algorithm for classification of E-KTP service satisfaction patterns.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128397835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sistem Pendukung Keputusan Seleksi Penerima Dokter Dirumah Sakit Umum Bhakti Dengan Menerapkan Metode Oreste Dan ROC","authors":"Partogi Simanjuntak, Mesran, Ronda Deli Sianturi","doi":"10.30865/resolusi.v2i3.307","DOIUrl":"https://doi.org/10.30865/resolusi.v2i3.307","url":null,"abstract":"Hospital is one of the public institutions that is oriented to community services, where the information system is one of the important factors to support the health services provided. To be able to provide effective and efficient services. In supporting the health services provided by the Bhakti Hospital, it continues to strive to improve the quality of services provided. One of them is determining a doctor to be able to provide the best service to anticipate so that there will be no mistake in determining acceptance of a doctor, it is necessary to have a decision support system namely by using the ORESTE and ROC methods. And by translation this background, the authors are interested in conducting research on making decisions in the assessment of the doctor who wants to be accepted, where each criterion and alternative has a weight, which at the end of the process can produce a ranking","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penerapan Algoritma C4.5 Dalam Klasifikasi Kualitas Sayur Kol Di Kabupaten Simalungun","authors":"Mhd Wendico Herdian, Riki Winanjaya, Susiani","doi":"10.30865/resolusi.v2i3.312","DOIUrl":"https://doi.org/10.30865/resolusi.v2i3.312","url":null,"abstract":"Cabbage is an annual plant or more in the form of a shrub. One of the centers for cabbage production is in Simalungun Regency, Ancient District. Cabbage has good demand prospects. However, erratic weather factors and plant pests that threaten to make the quality of cabbage vegetables are not good so that the impact on farmers' income is uncertain. In determining the appropriate and unfeasible cabbage, the Datamining Method with the C4.5 Algorithm is used. The C4.5 algorithm can provide a decision tree that is easy to interpret and has good accuracy so that the results obtained are expected to be input and help the agricultural office and farmers to determine the quality of cabbage vegetables that are good according to the target market. Become a reference for further research related to the users of the C4.5 Algorithm.","PeriodicalId":115863,"journal":{"name":"Resolusi : Rekayasa Teknik Informatika dan Informasi","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122342357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}