Jurnal Penelitian Ilmu komputer
JUPIK: Jurnal Penelitian Ilmu komputer adalah jurnal ilmiah penelitian yang diterbitkan secara berkala yaitu 4 kali dalam setahun (Maret, Juni, September dan Desember) yang bertujuan untuk menyebarluaskan berbagai jenis hasil riset di bidang Ilmu Komputer kepada publik. Saat ini JUPIK menerima kiriman artikel hasil riset di bidang ilmu komputer yang ditulis dalam Bahasa Indonesia . Adapun bidang keilmuan yang menjadi fokus di dalam JUPIK antara lain: Information System, Management Information Systems, Project Management Systems, Supply Chain Management System, Customer Relationship Management, Artificial Intelligence, Machine Learning, Game, Business Intelligence & Data Visualitation, Software Engineering & Software Re-Engineering, Data Management, Data Mining, User Interface (UI) & User Experience (UX), Mobile & Web Technology Multimedia System & Computer Network, Cloud Computing, Internet Of Things. Penentuan artikel yang dimuat dalam JUPIK akan melalui proses double blind review oleh JUPIK, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang ilmu komputer. Editor bertanggung jawab untuk memberikan telaah konstruktif, dan jika dipandang perlu menyampaikan hasil evaluasi kepada penulis artikel.
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<![CDATA[User Management Dashboard Analysis on Bandwitdh Data Filtering Using the Hierachical Token Bucket Method (CASE STUDY: STATE VOCATIONAL SCHOOL 3 TANGERANG) ]]>
<![CDATA[deni, Deni warsa]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[In filtering data, bandwidth will be something that is really needed for multi-service networks, because the variety of applications that can be served by a network will have an impact on the use of links in a particular network. This filtering certainly requires information related to the services that have been accessed by each user which is displayed on the user's dashboard. Bandwidth data filtering is really needed to regulate the available bandwidth so that each user can get bandwidth according to each user's needs. HTB (Hierarchical Token Bucket) is a queue grouping method that is useful for handling various types of traffic. Hierarchical Token Bucket (HTB) functions to regulate bandwidth distribution, the division is carried out hierarchically which is divided into classes so that it makes it easier to regulate bandwidth appropriately so that its use is maximized. The average download speed result after dividing the bandwidth using the HTB method on five test devices was 420.743 Kbps. The data transfer speed is in accordance with the standards set by the school, namely the minimum speed is 256 Kbps and the maximum speed is 8 Mbps. The application of the Per Connection Queue method which was carried out during the implementation of bandwidth management was proven to be able to increase the download time speed carried out by each individual. each client is on a private and public network significantly. apply Mikrotik OS as a network router because it has quite complete features and tools for both cable and wireless networks.]]>
<![CDATA[IMPLEMENTASI KINERJA ROUTING DINAMIS PADA TOPOLOGI STAR DALAM MANAJEMEN JARINGAN LAN (LOCAL AREA NETWORK) DI PT. SUPER AIR JET ]]>
<![CDATA[SUCIPTO, EKO ANGGA]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[The use of computer networks in the current era of globalization is very rapid. This is widely marked by network users ranging from companies, government agencies, the private sector, to the world of Education. The research methodology that researchers use in this study uses two kinds of methods, namely data collection methods and system development methods. Analyze the performance of dynamic routing protocols in star topologies in the PT. Super Air Jet. Perform dynamic routing protocol performance testing based on delay, jitter, throughput and packet loss. The conclusions that can be drawn from this final project are as follows: Local area networks are built with Cisco Packet Tracer software, which when tried successfully connects via wireless networks. Testing whether the server-to-client or client-to-server connection has been successful. From the results of the implementation and analysis that have been explained, the author has several suggestions as follows: With direct implementation to hardware, you will get tangible results and may be easier in better design. Keywords: Network, dynamic routing, tes connection, Super Air Jet]]>
<![CDATA[APLIKASI PENDISTRIBUSIAN MATERIAL PADA WAREHOUSE BERBASIS WEB MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS PT. TELKOM AKSES WITEL BANTEN) ]]>
<![CDATA[Try Rahmanda Putra]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[A warehouse is a place to store goods in a company. Almost all business sectors, be it industry, culinary, and even network infrastructure development require warehousing in running their business. Warehouses in companies engaged in network infrastructure development usually contain poles, pole accessories, patch cable cords, optical distribution points (ODP), underground distribution cables, air distribution cables, and passive splitters. Apriori algorithms are basic algorithms proposed by Agrawal and Srikant in 1994 for the determination of frequent itemsets for Boolean association rules.The main idea of a priori algorithms is to first find sets of items that meet the minimum support (frequent itemset) from the transaction database, secondly eliminate items with low frequency based on predetermined minimum support levels. Next build an association rule from an itemset that meets the minimum confidence value in the database. This application is designed to simplify and speed up colleagues or partners regarding material distribution, made this application with a mysql database with 4 entities and 24 attributes and relationships between entities using ERD. The application is designed using apriori algorithm that contains data from the results of goods that have been removed from the outgoing goods table. Keywords : Material distribution application, a priori algorithm, MySQL database xiii+61 pages; 38 images; 20 tables; Reference list: 8 (2018-2022)]]>
<![CDATA[ANALISIS PERBANDINGAN METODE WEIGHTED PRODUCT (WP) DENGAN METODE TECHNIQUE FOR ORDER OF PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS (TOPSIS) PADA SISTEM PENDUKUNG KEPUTUSAN PENGANGKATAN GURU TETAP BERBASIS WEB ]]>
<![CDATA[Talondo, Daniel]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[In order to improve the welfare of teachers at SMK 1 Barunawati Jakarta, every year the principal is assigned by the Foundation to select 2 teachers to be recommended as permanent teachers by the chairman of the Sekar Laut Pelni Foundation according to their competencies. The process of selecting permanent teachers is carried out by the principal with consideration from the deputy principals and head of administration. So far, the appointment of permanent Foundation teachers is still done manually without considering the characteristics of the assessment criteria. Based on these problems, this research aims to analyze the comparison of the Weight Product (WP) method and the Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS) method in the web-based Decision Support System for appointing permanent Foundation teachers. The Weighted Product (WP) method uses a multiplication technique to connect attribute ratings where the rating for each attribute must first be raised to the power of the weight of the attribute in question. Meanwhile, the TOPSIS method is based on the concept where the best selected alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. From this research, comparison results were obtained using Euclidean Distance after ranking values in the Web-based SPK application, so that the WP method obtained a result accuracy of 99.93%, while the TOPSIS method had a result accuracy rate of 99.52% and at the black box and white box testing stage of the web-based decision support system, it was 100% goes well. The ranking results of both methods on the web-based system obtained the same ranking order so that this system can make it easier for school principals to recommend permanent teachers to the head of the Foundation.]]>
<![CDATA[ANALISIS PREDIKSI SISWA PAKET C PKBM SILIWANGI PAMULANG DITERIMA MASUK PERGURUAN TINGGI NEGERI MENGGUNAKAN METODE ALGORITMA SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOUR (Studi Kasus : Sekolah PKBM Siliwangi): ANALISIS PREDIKSI SISWA PAKET C PKBM SILIWANGI PAMULANG DITERIMA MASUK PERGURUAN TINGGI NEGERI MENGGUNAKAN METODE ALGORITMA SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOUR (Studi Kasus : Sekolah PKBM Siliwangi) ]]>
<![CDATA[Nazura, Is Anin Nazura]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[Entering State Universities (PTN) for package C graduates is relatively difficult. Based on data from package C graduates at PKBM who were accepted into State Universities from 2020 to 2022 there were 42 students out of a total of 210 students who registered and out of a total of 1,132 students. In this regard, it is necessary to have a system or model that is used to predict Siliwangi PKBM PKBM Package C graduates who are thought to be accepted into State Universities (PTN) using the Support Vector Machine and K-Nearest Neighbor Algorithm methods. The results of the research are that the support vector machine method has a higher level of accuracy than the k-nearest neighbor algorithm with an accuracy value of 98.8%. The best precision value is the support vector machine algorithm with a value of 97.6% compared to the k-nearest neighbor algorithm. And the best recall value is the support vector machine algorithm with a value of 97.8%. Keywords: Education, Online Learning, Google Classroom, Research and Development, Student Competence, Score Results, K-Nearest Neighbor, Orange Data Mining.]]>
<![CDATA[PENGUJIAN CELAH KEAMANAN INPUT VALIDATION PADA APLIKASI WEBSITE MENGGUNAKAN FRAMEWORK OWASP ]]>
<![CDATA[fefbi septa kristara]]>;
<![CDATA[Mochamad Adhari Adhiguna]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[The importance of website security in the digital era is growing with the increasingly widespread use of the internet and technology. Website penetration testing is a security testing process carried out on a website with the aim of exploiting security gaps that may exist on the website. This can be done by testing for weaknesses in the website application, trying to carry out attacks on the website and application servers, and looking for security gaps in the network configuration. In this research the author will carry out penetration testing on input forms to test weaknesses in input validation on a website.aim of this research is to identify potential security vulnerabilities in the input form on the website, analyze the methods used to evaluate the system, and provide suggestions and references for improving the security of the website system.In this research the author uses the OWASP framework as a testing method. Owasp has methods and techniques for website testing which are packaged in the WSTG (Website Security Testing Guide) document. This document contains quite detailed methods and techniques for testing website applications.It is hoped that the results of this research can be a reference for website application developers and managers in order to improve the website security system that is being developed or managed. Apart from that, we hope that the results of this research can be a reference for cyber security practitioners in improving the techniques and methods used.Keyword : Penetration, Exploit, Input Validation]]>
<![CDATA[PENGEMBANGAN APLIKASI MANAJEMEN PELANGGAN WIFI BERBASIS WEB DI HH.NET (MAJA BANTEN) ]]>
<![CDATA[lestari, ela]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[In this modern era, technology continues to grow and one of them is the internet. The internet in this day and age is needed in order to facilitate human work. In its development, current internet use can be connected to homes through internet service provider companies where each customer can register their internet needs with various choices of speed levels based on internet speed units or commonly called Megabits Per Second (Mbps). HH. Net is an internet service provider company that focuses on selling, installing and maintaining internet connections. Internet customer registration process at HH. Net so far still uses a manual system, where prospective customers fill out a registration form which is then processed to enter data by the administrative section into the Microsoft Excel application which then produces a recap of internet installation registration. The recording of wifi customer data on HH.Net is still on a conventional basis, causing data loss. The purpose of making this Web-Based Internet Registration Information System is that internally it can facilitate management in making decisions and from the external side it can make it easier for internet customers to obtain information.]]>
<![CDATA[A KLASIFIKASI CUSTOMER RELATIONSHIP MANAGEMENT PERUSAHAAN TELEKOMUNIKASI SELULER DENGAN METODE MACHINE LEARNING ]]>
<![CDATA[Muhammad Dahlan Kurnia]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[Customer Relationship Management (CRM) as the part of Enterprise Resource Planning (ERP) focuses on the company relationship with the costumer must be optimized. By the increasingly of tight business competition, CRM the cellular telecommunication company must be able to carry out the classification of loyal costumer and moving costumer (churn) as the initial steps to maintain costumer. This research aims to classification the numbers of costumers who are churn from the company to another company. The research approach was conducted by quantitative methods using secondary data. The data research was obtained from the data source of telco_dataset.csv. The data input was conducted by Python software. The results of the data collection are processed through the machine learning by decision tree, logistic regression and random forest methods. The results of research show the classifications by the methods of decision tree 78, 27%, logistic regression 78, 67% and random forest 78, 13% has the accuracy. Then, the classification model that suitable can be used to classify Customer Relationship Management. The cellular telecommunication company is the logistic regression method, because has more the high accuracy level. As the factors that have sensitive influential in classification of establishment that are the total of cost per month are issued by customers, the total of overall cost during being customers and the how long customers subscribe is.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN GURU BERBASIS WEB DENGAN METODE SIMPLE ADDITIVE WEIGHTING ]]>
<![CDATA[Hidayat, Radi]]>;
<![CDATA[Ariadi, Fadly]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[PT. Impian Semesta Raya is one of the Indonesian course places for foreigners. This course provides assistance to customers in order to get more optimal learning outcomes or preparations. By attending the course, customers will be able to adjust to the educational situation they are facing. Many foreigners, especially Japanese people, want to apply to study, so these courses often select new teachers who match the criteria that Japanese people want. Decision Support System for the selection of new teachers with the Simple Additive Weighting (SAW) method in this course. This research will help admins in managing criteria, to perform calculations with the Simple Additive Weighting (SAW) method. The criteria set in this application are the suitability of the location of the new teacher, teaching experience of the new teacher, mastery and proficient in learning methods, age, and mastery of the Japanese language. From the results of the selection of new teachers, it will be sorted based on the total calculation of the highest score using the Simple Additive Weighting (SAW) method. The results of the implementation in building a web-based teacher recruitment decision support system (SPK) with the Simple Additive Weighting (SAW) method that has been successfully implemented at PT Impian Semesta Raya is an important breakthrough in a more efficient and objective teacher selection process. The results of this Decision Support System rank first on teacher candidates with the largest Preference Value (Vi). As for this study, the largest Preference (Vi) value is Yuli Purnama Sari (V2) with a value of 0.893.]]>
<![CDATA[Indonesia SISTEM PENDUKUNG KEPUTUSAN PRIORITAS USULAN SERTIFIKASI TENAGA PENDIDIK DI SMP NEGERI 2 CISOKA DENGAN METODE TOPSIS: Indonesia ]]>
<![CDATA[Sudesi, Ziki]]>
<![CDATA[ JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember ]]>
Publisher : <![CDATA[PT Triputra Sejahtera Prima ]]>
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<![CDATA[The government has issued various policies as an effort to improve the quality of learning and education in Indonesia, one of which is teacher certification. The implementation of teacher certification began in 2007 after the issuance of Minister of National Education regulation number 18 of 2007 concerning in-service teacher certification. Government regulation number 74 of 2008 concerning teachers is the basis for implementing teacher certification. However, in determining teacher certification participants, the evaluations carried out were still conventional, therefore the authors took the initiative to design and create a decision support system to determine the priorities of teacher certification participants. The decision support system has several methods that are used, one of which is TOPSIS (Technique Order Preference by Similarity To Ideal Solution). TOPSIS is based on the concept where the best selected alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. . This method is widely used to solve practical decision making. Priority decision making for teacher certification participants uses criteria in their assessment, these criteria are the teacher's tenure, teacher age, teacher class/rank, teacher workload, additional assignments and work performance obtained. The results of the system conclude that this decision support system assist in determining teacher certification participants.]]>
