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INDONESIA
Jurnal Penelitian Ilmu komputer
Published by PT Triputra Sejahtera Prima
ISSN : 29861543     EISSN : 2986030X     DOI : https://doi.org/10.5281/zenodo.7720440
Core Subject : Science,
Computer Science & IT
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 88 Documents
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Windows 10, MAC Address,Spoofing ANALISIS KEAMANAN JARINGAN LOKAL PADA MEDIA ACCESS CONTROL ADDRESS SPOOFING DENGAN METODE ADDRESS RESOLUTION PROTOCOL: (Studi Kasus : SMK Prisma Depok) jiyan suhada jiyan
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 3 (2023): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

The growth and development of the internet is currently advancing and continues to expand its reach, such as in the world of education, which in the current era cannot be separated from internet access to find references for learners or school data management, besides that there are also things that must be known that each device, be it a cellphone, laptop, router, switch, has a different MAC address and will not change, but it can change if there is spoofing activity in a network so that the MAC address will change. The devices or software used include proxy, Windows 10 OS, and also Kali Linux OS. Previously there was research that discussed MAC address spoofing which used wireshark tools to view network traffic, especially in the protocol address resolution protocol which resulted in a simulation of an attack that obtained information in the form of the media access control (MAC) address of the attacker and victim along with the time of the attack. Testing on this MAC address spoofing uses tools in the Linux OS called Macchanger with a note that it is connected to one network first so that the results in the analysis can be detected on the router, 2C: 60: 0C: 79: 4A: 0B The MAC address is the original identity of the device used but changes to A8: 1B:18:BC:4A:03 of the two can still access the internet, therefore by recording the MAC address Address Resolution Protocol on the router server makes the path can be held if spoofing occurs, so the existence of this Address Resolution Protocol successfully entered the spoofing prevention category.
RANCANG BANGUN MINDSTORM EV3 UNTUK ROBOT PELAYAN MENGGUNAKAN SENSOR ULTRASONIC DAN SENSOR WARNA (STUDI KASUS: SMK RICARDO AUTO MACHINE TANGERANG) Fadly Ariadi; Tio Andrian
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 3 (2023): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

Applications the development of the world of robots and automation is also based on the limitations of human power that cannot work continuously, making humans think of doing automation in carrying out tasks that are usually done by humans. Apart from that, automation is also expected to increase the efficiency of using human resources, reduce work errors and reduce operational costs that must be incurred. Automation that can be carried out includes the creation of robots that do not know fatigue and are not influenced by emotions at work. This robot functions to help humans in doing tasks. Robots can also reduce work errors that are often made by humans (human error). More focus on service processes in large restaurants or canteens conventionally using human resources. The problem that arises is in terms of efficiency and customer service, we can take advantage of the role of robots to improve customer service and efficiency. On the other hand, when viewed from the customer's point of view, the lack of available human resources makes them have to take a long time to get their orders, not infrequently because there is no system that regulates that queues are missed or even not delivered by the canteen waiter. This is a problem that often occurs and needs further action to overcome these weaknesses or problems. Next, in terms of technology, which is developing rapidly, it is appropriate for schools with a technology base, such as Ricardo Auto Machine Vocational School, to be able to implement robotic and automation systems. From the process and results of this study, this research produces robots that are able to deliver buyer orders properly according to system instructions produced in accordance with the researchers' goals.
Analisis algoritma ANALISIS ALGORITMA C 4.5, NAÏVE BAYES DAN K-NEAREST NEIGHBOR UNTUK MENENTUKAN PENERIMAAN BEASISWA Fauzi Firdaus
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 3 (2023): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

Scholarships are one of the solutions to overcome the problem of costs for those who are less fortunate. Granting scholarships at Indra Bangsa Vocational School sometimes only focuses on orphaned students and scholarships that have good grades so they don't get scholarships, so this study aims to determine the classification of scholarship recipients at Indra Bangsa Vocational School, for the data used as research units are SMK students from class 10-12 with a total of 56 students, of which 30% will be taken as data testing. With this data mining algorithm, the data attributes used for processing include data on family status, number of dependents of parents, student rankings and parents' income. And based on the data mining process it was found that the Naïve Bayes and K-Nearest Neighbor algorithms are more accurate in eliminating the C4.5 algorithm in classifying scholarship recipients. And based on the results of scholarship testing with the rapid miner application, the accuracy value is obtained that the KNN algorithm gets a higher accuracy value of 88.24% while the C4.5 and Naïve Bayes algorithms get an accuracy value of 82.35%. In this case, it can be seen that the best method is the K-Nearest Neighbor algorithm, then the C4.5 and Naïve Bayes algorithms. The suggestion for this research is to use more attributes and use other algorithms for the testing process. The update from the research made is to use 3 algorithms in the data mining process carried out at the Indra Bangsa Vocational School.
RANCANG BANGUN APLIKASI PENGGAJIAN KARYAWAN MENGGUNAKAN METODE SDLC PADA CV PUTRA KARYA MOTOR: RANCANG BANGUN APLIKASI PENGGAJIAN KARYAWAN MENGGUNAKAN METODE SDLC PADA CV PUTRA KARYA MOTOR muhammad anis
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 3 (2023): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

CV. Putra Karya Motor is a service company that was founded in 2005. CV. Putra Karya Motor is located on Jl. Raya Puncak – Cipanas Pacet Cianjur sub-district. Working hours start from 08.00 – 16.30 WIB. Every week the company processes employee payroll. In this research, the company's employee payroll process is not integrated with the system, data processing and salary components are carried out manually in a short time, the information search process is very vulnerable to the risk of data loss or damage, the salary increase process requires initial data on the employee's work period which must be searched. one by one to determine the length of work. This causes errors in the salary calculation process and delays in carrying out the payroll process. Based on these problems, an employee payroll application was created which contained master data management, calculating employee salaries, calculating taxes, managing salary increases. The application created is integrated with attendance recording so that the salary calculation process can be carried out automatically and is able to manage salary increases to make it easier for related parties regarding salary payments to each employee. The system created can perform salary calculations automatically without the need to calculate manually and the resulting salary data is in accordance with all data that has been input based on the company's existing salary components. The system is made according to the requests and needs of the company. The results of trials to carry out calculation comparisons between Microsoft Excel and the system are appropriate. The employee payroll application is capable of producing output related to payroll reports, namely employee salary reports, employee attendance reports, employee overtime reports, employee salary increase reports, financial expense reports and overtime expense reports which can help companies in carrying out the payroll process.
ANALISIS KOMPETENSI SISWA PADA PELAJARAN PROGRAM KEAHLIAN MULTIMEDIA MENGGUNAKAN NAÏVE BAYES DAN DECISION TREE C4.5 buhaeri heri
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 3 (2023): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

SMK is an educational institution that prepares human resources who are skilled and ready to be placed in the industrial world. One of its main activities is the implementation of street vendors and Expertise Competency Examinations which need to be carefully prepared by educational institutions. Determination of student competency scores can be obtained in 5 (five) productive subjects and can also be used as an attribute. In accordance with the infographic data published by BPS in 2019 that there are still 19% of SMK students who have not been absorbed in the industrial world, a research is needed by the SMK 1 Barunawati education unit as a form of school effort so that students who graduate can be absorbed in the industrial world. This research uses alumni data for class 2021 and 2022, namely 126 data sets which are divided into 2 parts, namely 101 as Training data and 25 as Testing data. The method used is the Naïve Bayes algorithm method and the C45 Decision Tree and the data processing application uses Rapid Miner application version 10 For Education, while the value data range has very good, good and sufficient information values ​​and has 2 classes, namely Very Competent and Competent. The results of data processing using the Rapid Miner application with the Naïve Bayes method obtained an accuracy value of 88% while using the Decision Tree C45 method an accuracy value of 72% is obtained so that it can be concluded that the use of the Naïve Bayes method is very good to use compared to the Decision Tree C45 method in this case study. The results of this research can be used as evaluation material for SMK 1 Barunawati in order to improve the quality of student competence.
User Management Dashboard Analysis on Bandwitdh Data Filtering Using the Hierachical Token Bucket Method (CASE STUDY: STATE VOCATIONAL SCHOOL 3 TANGERANG) deni, Deni warsa
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
IMPLEMENTASI KINERJA ROUTING DINAMIS PADA TOPOLOGI STAR DALAM MANAJEMEN JARINGAN LAN (LOCAL AREA NETWORK) DI PT. SUPER AIR JET SUCIPTO, EKO ANGGA
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember
Publisher : PT Triputra Sejahtera Prima

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Abstract

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
APLIKASI PENDISTRIBUSIAN MATERIAL PADA WAREHOUSE BERBASIS WEB MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS PT. TELKOM AKSES WITEL BANTEN) Try Rahmanda Putra
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember
Publisher : PT Triputra Sejahtera Prima

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Abstract

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)
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 Talondo, Daniel
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
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) Nazura, Is Anin Nazura
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 1 No. 4 (2023): Desember
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.

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