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Journal of Computer Science and Research
Published by Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer Provinsi Sumatera Utara
ISSN : -     EISSN : 29862337     DOI : -
Core Subject : Economy, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science
Journal of Computer Science and Research (JoCoSiR) is aimed to publish research articles on theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. Journal of Computer Science and Research (JoCoSiR) published quarterly and is a peer reviewed journal covers the latest and most compelling research of the time. Journal of Computer Science and Research (JoCoSiR) is managed and published by APTIKOM Wilayah 1 Sumatera Utara.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 63 Documents
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Analysis of the Feasibility Level of Determining Retail Prices of Staples Using the K-Means Clustering Method Akbar Fahri Hambali; M. Safii
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 1 (2023): January: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

The rate of economic growth in a region is highly dependent on the role and infrastructure of structured agriculture. Staples are also one of the state assets that can optimize state revenues through the success of a high production process so that staple commodities can be exported to other countries to increase economic competitiveness more optimally. One of the ways to stabilize the economy of a region is by determining proper retail prices for staple commodity commodities. This research examines the feasibility level analysis case for fixing the retail price of basic commodities in the city of Pematangsiantar using the methodK-Means Clusteringas a case solution. The source of the data in this study was obtained from official documents from the Central Bureau of Statistics in the city of Pematangsiantar with processing data on retail prices of basic commodities in 2018-2021 with data on 8 (eight) commodities. Data analysis in this study used 2 (two) cluster levels, namely the high cluster (C1) and the low cluster (C2). Based on the research results, it was found that 1 (one) commodity was included at a high level (cluster 1), namely salted fish. While t (seven) other commodities such as rice, cooking oil, sugar, salt, washing soap, wheat flour and cement are included in the low level cluster (C2). It is hoped that the research results can be input.
Analysis of Realization of Total Connected Power By Industrial Customer Using K-Means Clustering Method Tri Febri Damayanti; M. Safii
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 1 (2023): January: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

Electrical power is one of the primary needs for living things, especially humans. With the existence of electrical energy, human activities are getting easier and more practical. This study aims to assist the relevant government, especially PLN in the province of North Sumatra, in knowing the quality and quantity of actual connected power in the province of North Sumatra. Completion of cases in this study using the K-Means Clustering Data Mining Method. The data used in this study were obtained directly through the Central Statistics Agency (BPS) website for North Sumatra province with the url https://bps.sumut.go.id. The analysis in this study uses 2 (two) cluster levels, namely high realization (C1) and low realization (C2). The research results obtained are that there is 1 area that is included in the high cluster (C1) and there are 9 areas that are included in the low cluster (C2). It is hoped that the research results can become input, suggestions and efforts for the government, especially PLN in North Sumatra province to pay more attention to and increase the realization of electricity connected power in areas that are included in low clusters so that industrial processes can run effectively and efficiently and can support economic growth in the province of North Sumatra.
Implementation of Clustering on Tobacco Import Data By Country Of Destination Using The K-Means Algorithm Syifa Aisyah Rahmah Sibuea; M. Safii
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 1 (2023): January: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

Tobacco is a seasonal agricultural product which is not a food commodity, but a plantation commodity. This product is consumed not for food but as a spare time filler or "entertainment", namely as a raw material for cigarettes and cigars. Indonesia is currently one of the countries with the highest smoking rates in the world. The domestic tobacco industry is now growing rapidly, as well as making the types of cigarettes in the country more diverse. In this study, the authors used the k-means clustering data mining technique to classify copper import data according to their original purpose. The results of this study are copper import data clusters. The copper import cluster consists of two clusters, namely the high cluster and the low cluster.
Application of Data Mining in Classification Fresh Milk Production by Province Using K-Means Algorithm Afifah Wulandari; M. Safii
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 1 (2023): January: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

The need for fresh milk is currently experiencing a fairly rapid development as can be seen in terms of the domestic market, here researchers want to increase the productivity and quality of fresh milk production. The data to be used is data from the Central Bureau of Statistics. The method in this study is the K-means clustering algorithm which is grouped into 2 clustering, namely high and low. The results of this study are 1 high-level cluster province, 24 low-level cluster provinces
Implementation of data mining with the c4.5 algorithm for student majors (Case Study: SMA N 1 Bp.Mandoge) Nabilah putri; M. Safii
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 1 (2023): January: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

Classification of student majors is the process of grouping students according to abilities (values), talents and interests that are relatively the same so that the lessons that will be given to students will be more focused and directed. The process of classifying student data can be explored for patterns in the field of data mining, namely the process of obtaining relationships or patterns from large data so as to provide useful indications. SMA N 1 Bp.Mandoge is one of the educational institutions that started introducing majors and divided them into two choices of majors, namely "IPA" and "IPS". The curriculum currently used by SMA Negeri 1 Bp.Mandoge is Curriculum 2013, which regulates the process of sorting majors for class X (ten) students based on average junior high school report cards, junior high school national exam scores, and MTK, IPA, and social studies test scores. One method that can be used to solve data mining classification problems is the C4.5 Algorithm method. Algorithm C4.5 is used to construct a decision tree that divides a large data set into smaller record sets by applying a series of decision rules to classify the data. In this study, student majors were classified based on MTK, IPA, and Social Sciences academic test scores, average junior high school report cards for MTK, Science, and Social Studies subjects, SMP National Examination scores for MTK and Science subjects, and student interests. Based on the results of the research, the results of the classification of student majors that have been tested correspond to an accuracy rate of 89.74%. 5 is used to form decision trees that divide large data sets into smaller record sets by applying a series of decision rules to classify data. In this study, student majors were classified based on MTK, IPA, and Social Sciences academic test scores, average junior high school report cards for MTK, Science, and Social Studiessubjects, SMP National Examination scores for MTK and Science subjects, and student interests. Based on the results of the research, the results of the classification of student majors that have been tested correspond to an accuracy rate of 89.74%. 5 is used to form decision trees that divide large data sets into smaller record sets by applying a series of decision rules to classify data. In this study, student majors were classified based on MTK, IPA, and Social Sciences academic test scores, average junior high school report cards for MTK, Science, and Social Studies subjects, SMP National Examination scoresfor MTK and Science subjects, and student interests. Based on the results of the research, the results of the classification of student majors that have been tested correspond to an accuracy rate of 89.74%. and Social Studies, the average junior high school report cards for MTK, Natural Sciences, and Social Sciences subjects, the SMP National Examination scores for MTK and Natural Sciences subjects, and student interest. Based on the results of the research, the results of the classification of student majors that have been tested correspond to an accuracy rate of 89.74%. and Social Studies, the average junior high school report cards for MTK, Natural Sciences, and Social Sciences subjects, the SMP National Examination scores for MTK and Natural Sciences subjects, and student interest. Based on the results of the research, the results of the classification of student majors that have been tested correspond to an accuracy rate of 89.74%
Accounting Information System for Sales of Oil Palm Seeds at Pt. Socfindo Riswan Ober Bornok Manurung
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 2 (2023): April: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

The development of sophisticated science and technology is now felt by users of a computer-based information technology. With today's technological sophistication, every company and public service agency is required so that all work can be completed in a computerized system. PT. Socfindo Medan is a company engaged in agriculture. Problem formulation at PT. Socfindo is not yet created a computerized system in conducting sales transactions so that work is still less effective and efficient. To overcome the problems that exist in PT. Socfindo the author wishes to create a new information system. To create an information system the author uses the VB.Net programming language with SQL Server Database. The purpose of making this system is to facilitate the transaction and sales data processing. The reports generated are also more accurate.
Expert System to Identify Typhus Using the Fuzzy Tsukamoto Method Siti Fatimah Rambe
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 2 (2023): April: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

At RS. Hajj is clearly seen when the patient consults about typhus, the patient first mentions the complaints he is feeling, and after that the patient has to do another blood test to the laboratory and the results will come out 1 day after the patient's blood test is done, this is felt to be ineffective and requires long enough to find out whether the patient has typhus or not, the authors provide a solution to help ease the work of staff and doctors at the hospital. Hajj by creating an expert system to identify typhus using the Tsukamoto fuzzy method, before the authors make the system, of course the authors have to do research - what are the symptoms that often appear in patients with typhus at the hospital. Hajj, and the author gets 6 symptoms, namely body temperature, heart rate, headache, stomach ache, muscle aches, and tongue color. After that the writer made a system using the Tsukamoto fuzzy method. The Tsukamoto fuzzy method is first entered into a variable, the variable here is how many symptoms will be discussed, namely there are 6 symptoms, after that it is entered into the fuzzy set in the form of names and numbers, after that it is entered again into the knowledge base (rule-based). The expert only inputs patient data, patient consultation data is only enough to tell the expert what the complaints are and the expert will enter it into the system and enter the fuzzy set in the form of the name and number earlier, and the expert only needs to click the process button, the results of the patient having the disease will appear. low-risk typhoid, moderate, or high. And if the expert clicks the save button, the patient data for the consultation will automatically be stored in the identification and the expert can make a patient identification data report directly from the system that the author made without having to be afraid of errors, for example the date of the consultation, the patient's name because the author has made this system as much as possible. This system is built using the Java programming language and MySQL database.
Analysis and Design of a Petty Cash Fund Accounting Information System Using a Fixed Fund System at Cv. Yoga Solafide Finance Sri Alima
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 2 (2023): April: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

Currently a computer application system is needed to facilitate work. With this application, we can process the data we have to produce information that is definitely better and more useful for certain needs. But not infrequently there are several companies or agencies such as CV. Yoga Solafide who still hasn't implemented this in their performance process such as processing costs such as petty cash funds so that generating information takes quite a long time and sometimes errors occur due to the absence of a special system for processing petty cash fund data on CV. Solafide Yoga
Expert System for Diagnosing Diseases in Children Using the Bayes Theorem Method Sri Hariani
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 2 (2023): April: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

The development of information technology is currently running very fast and plays an important role in various ways. Computers are an important part of improving information technology. The computer's ability to remember and store can be utilized without having to rely on barriers like those of humans, such as hunger, thirst or emotional states. By storing information and an adequate set of reasoning rules, it allows the computer to provide conclusions or make decisions that are of the same quality as the ability of an expert in a particular scientific field. One branch of computer science that can support this is an expert system. The making of this expert system application uses PHP as the programming language and MySQL as the database. This expert system application produces output in the form of the possibility of a child's illness based on the symptoms felt by the user. This system also displays the magnitude of the value of trust in these symptoms to the possibility of the patient's childhood illness. The magnitude of the trust value is the result of calculations using the Bayes Theorem method.
Design of Tbs Marketing Accounting Information System (Fresh Fruit Bunches) at Cv. Farmer Source Sarima Yanti
Journal of Computer Science and Research (JoCoSiR) Vol. 1 No. 2 (2023): April: Article Computer Science and Research
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

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Abstract

Accounting Information System (AIS) is a system that aims to collect data and report information relating to financial transactions. Marketing is a total system of business activities to plan, determine prices, promote and distribute want-satisfying goods and services to both current and potential consumers. In this system an application will be designed to calculate products to be marketed and products purchased and display financial reports and journals, using the Microsoft Visual Basic 2008 programming language and the Microsoft SQL Server 2005 database. fast, and can display reports quickly, precisely and accurately.

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