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Jurnal ICT : Information Communication & Technology
Published by STMIK IKMI Cirebon
ISSN : 23020261     EISSN : 23033363     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal ICT : Information Communication & Technology (JICT) (p-ISSN: 2302-0261, e-ISSN: 2303-3363 ) is a scientific journal and open access journal published by Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) of STMIK IKMI Cirebon, Indonesia. Jurnal JICT covers the field of Informatics, Computer Science, Information Technology and Communication. It was firstly published in 2012 for a printed version. The aims of Jurnal JICT are to disseminate research results and to improve the productivity of scientific publications. Jurnal JICT is published two times a year (July and December).
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Articles 268 Documents
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Analisis dan Optimalisasi Akses Point To Point Menggunakan Perangkat Power Beam M5 400 Out Dor Sistem (Studi Kasus : Onesnet) Rasim .; Mugiarso
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Onesnet is a home internet service provider or what is called RT / RW Net so to provide this service Onesnet sends signals or data to remote areas using point-to-point access points and because the client itself is disseminated again, with that we use devices access point Nano Station Power Beam M5. This paper aims to implement point-to-point access and optimize two NanoStation M5 devices without using additional antennas to improve the quality and coverage of a wireless local area network, to obtain further coverage. The design was carried out at Onesnet Housing Mustika Karangsatria Blok EA 18 Number 3A, with a maximum radius of 1000 meters, with received signal strength parameters, ping test, and connection quality, as well as path losses using the Friis propagation model. By using the test results there are no obstacles or line of sight (LOS), it is proven that the access point device can reach a range of up to 1000 meters, and from the site survey test results, it is concluded that the observation location is in good connection quality to very good quality, the average is in a radius of fewer than 1000 meters from the access point. While the observation locations with poor connection quality are on average outside 1000 meters from the access point, and several locations cannot connect at all because the received signal is too weak..
Interpretasi dan Visualisasi Hasil Clustering Menggunakan K-Medoid untuk Identifikasi Penyebaran Virus Covid-19 Puspita Nurul Sabrina
Jurnal ICT: Information Communication & Technology Vol. 22 No. 1 (2022): JICT-IKMI, Juli 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

The spread of the Covid-19 virus in Indonesia continues to occur with an increasing number. How the pattern of the virus spreads needs to be identified to help prevent uncontrolled spread. One way to determine the pattern is to do clustering. The clustering method in this study uses the K-Medoid method, which has been used in several studies on disease analysis. Clustering results need to be processed and analyzed so that knowledge can be captured more easily. This processis called interpretation which can be supported by visualization. The interpretation process is carried out, among others, by visualizing the comparison of 2 attributes that may be related. Another process is processing data that enters clusters by recapitulation/summing by province and other attributes by filtering and selecting records. The interpretation results show that areas with high Population Density, Smaller Areas, High Populations indicate a higher number of cases and new Covid-19 cases. The interpretation for each cluster of virus spread appears that cluster 1 is Big City, Cluster 2 is City of Tourism and Neighbors with other countries, Cluster 3 is Java Island and Cluster 4 is other cities outside the other three clusters
Klasifikasi dan Pengaruh Trending Youtube Menggunakan Algoritma Neural Network dan Regresi Linear Norhikmah; Rumini .
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

The development of social media is very influential which includes Facebook, Instagram, Twitter, YouTube and others. One of them is the social media YouTube which has a very important role for the public and community leaders. Youtube provides very interesting content for those who have channels and those who do not. Trending or not a YouTube channel based on likes, dislikes, comments, and video views. Trending data from YouTube can be processed data. The data processing technique that can be used in the process is classification. Classification is a data processing technique that divides objects into classes. Using the backpropagation neural network algorithm in the classification process, which can determine Youtube trending with a very good and quite good ratio. a dataset of 40,880 obtained the best modeling obtained in neuron 10, layer 4, epoch 2000, with an MSE value of 0.03 and 87% validation, with a duration of 24 seconds, followed by a multiple linear regression test which resulted in the equation Y=0.788 + 4.914X1 + 9.458X2 - 1.977X3 - 4.418X4 + e where the more views and likes, the more trending youtube is, and the more dislikes and comments, the trending status of youtube decreases with a significance value of 0.000 which means it has a very significant relationship or at a strong level.
Sistem Deteksi Penggunaan Masker pada Pengunjung STMIK “AMIKBANDUNG” menggunakan Algoritma Convolutional Neural Network (CNN) Khoirida Aelani; Fajar Nazmi Fadillah
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

The STMIK "AMIKBANDUNG" visitor data monitoring system currently still does not have input that can detect whether a visitor is wearing a mask or not. This has resulted in the campus not having data to see whether the campus environment has implemented health protocols to avoid COVID-19 to the fullest. Manual data collection will take time, while the system currently used is web-based with no support or documentation using a machine learning-based mask detection module. Machine learning is a branch of artificial intelligence which includes building systems based on data. In this study, machine learning with the Convolutional Neural Network algorithm will be applied to develop mask detection. The end result of this research is a mask detection system that is more effective and efficient from a programmatic point of view because it uses the Python language, is supported by an interactive interface and user experience, and is accompanied by documentation so that the program can be developed further. By leveraging artificial intelligence, campuses can make decisions more easily with the support of statistics showing the number of violations through the website interface
Sistem Data Bridge Pemantauan Gunungapi Berbasis Application Protocol Interface (Studi Kasus di Provinsi Jawa Barat) Rudi Kurniawan; Hamdan Hanafi
Jurnal ICT: Information Communication & Technology Vol. 22 No. 1 (2022): JICT-IKMI, Juli 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

The state of Indonesia has around 127 active volcanoes spread over a 7-kilometer long volcanic route, and this route is a disaster-prone area. Where in the area there are approximately 4 million people who live and enter in disaster-prone areas. Therefore, the Center for Volcanology and Geological Hazard Mitigation (PVMBG) of the Geological Agency of the Ministry of Energy and Mineral Resources (ESDM) continues to carry out 24-hour surveillance of active volcanoes so that if an eruption occurs, it can be anticipated. Communities who live around volcanic routes are in areas that are less safe, because the threat of a volcanic disaster can come suddenly so that people may be in an unprepared state when a disaster or volcanic eruption occurs. Ignorance of information about volcanic conditions by the community is an important problem that must be solved. This research study is about the state of volcanoes in the province of West Java with the aim of creating a system that can be used to obtain complete information about the volcano. The research methodology and data collection techniques are through literature studies and interviews. Agile methodologies are used in developing systems or applications. The data bridge system is an API that can be consumed by the frontend (website), the frontend can take advantage of the existing APIs in the data bridge system to get complete information about volcanoes. The author makes a data bridge API (Application Protocol Interface) system using the REST API architecture to communicate and uses the Go programming language as the main engine. The data bridge system displays complete information about volcanoes communicating or consuming data from two services (third party), the two services are the PVMBG API service and the BMKG API service. With the data bridge system, it is hoped that it can be a solution to solve the problem of the lack of information about volcanoes in Indonesia. The target is that the public can find it easy to find and view information about volcanoes so that there can be early prevention when a disaster is about to occur in the form of a volcanic eruption or other things
Metode Preference Selection Index (PSI) Dalam Menentukan Calon Penerima Beasiswa Program Indonesia Pintar (PIP) Sumarna Indra Permana
Jurnal ICT: Information Communication & Technology Vol. 22 No. 1 (2022): JICT-IKMI, Juli 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Information technology that is increasingly sophisticated and developing requires education to always adapt to technological developments, this is aimed at realizing an effective and efficient education. With the importance of education, the “Indonesia pintar” Program (PIP) is one of the government programs in the form of cash assistance given to children aged 6-21 years from poor families with the aim of easing the burden on parents and students to continue their education. However, in its implementation it is still not on target, so to overcome this, a decision support system is needed that can determine the priorities of prospective PIP scholarship recipients. In this study, a decision support system was designed using the PSI and Promethee methods with the criteria of parental occupation, parental income, student status and type of assistance program. This research was conducted at SMKN 1 Jamblang. The results of this study are that the SPK application using the PSI and Promethee methods can help the school in the process of submitting a pip scholarship candidate quickly and accurately.
Klasifikasi Kemandirian Siswa SMA/MA Double Track Menggunakan Metode Naive Bayes Miftahul Walid; Finanatun Halimiyah; Hozairi .
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract- SMA /MA Double Track is a high school that carries out regular KBM (Teaching and Learning Activities) activities and organizes skills training activities side by side by utilizing local wisdom. The large number of participants in the SMA / MA Double Track program caused the East Java Provincial Education Office to have difficulty in determining the independence of participants. This is due to the absence of a method used to classify the independence of high school / MA Double Track students. Therefore, in this study tried to do a classification of student independence in SMA / MA Double Track. The method used is the Naive Bayes Classifier method because the Naive Bayes Classifier method is able to carry out the double track SMA / MA independence classification process with a good level of accuracy. The data set used was 40 data, with details of 30 training data and 10 test data, the input feature used consisted of six features, including (C1) making products, (C2) selling products, (C3) having a product catalog, (C4) having an online store, (C5) creating marketing media and (C6) sales transaction data, while for labels or outputs consisting of one feature, namely status. The results of the classification using the Naive Bayes Classifier method have an accuracy of 70%, from 10 test data there are 7 correct prediction data and 3 incorrect data. The research contribution is able to help the East Java Provincial Education Office map participants of the SMA / MA Double Track program who are independent (work or entrepreneurship) so that they are able to plan policies for next year.
Perancangan Sistem Informasi Pencapaian Karyawan Menggunakan Model Waterfall Berbasis Web di PT Inkara Sejahtera Utama Bandung Rizwan Azqi Zaenudin Azis; Johni Pasaribu; Muhamad Roni
Jurnal ICT: Information Communication & Technology Vol. 22 No. 1 (2022): JICT-IKMI, Juli 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

PT Inkara Sejahtera Utama Sejahtera is located at Bumi Adipura, Jl. Palem I no 5 Gedebage Bandung City is a company engaged in the event organizer. In carrying out their work, employees need an employee achievement information system, namely a system that can manage the work of employees and the time of work that must be in accordance with the work schedule provided by PT Inkara Sejahtera Utama Bandung. However, the problems encountered by the system used are still using a manual system so that workers still have to fill out forms provided by the company to make reports to the company's leadership and can also cause file accumulation in the company. This study uses a qualitative descriptive technique to explain the existing objective situation, while for software development it is carried out using the SDLC (Software Development Life Cycle) model waterfall method with black box testing. The design of this software is done using HTML, PHP, Boostrap, MySQL and databases to create a web-based employee achievement information system. This web-based Employee Achievement Information System can help employees and leaders in terms of knowing and monitoring the results of the work given by the leadership, and this web is intended to make it easier for employees and leaders to determine the results of work that has been done by employees
Performa Algoritma Data Mining Untuk Klasifikasi Data Perceraian Elvin Leander Hadisaputro
Jurnal ICT: Information Communication & Technology Vol. 21 No. 1 (2022): JICT-IKMI, Juli 2022
Publisher : LPPM STMIK IKMI Cirebon

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Data mining is the process of analyzing data to find patterns from existing data to produce useful information. One type of data mining is classification, which distinguishes a data object from another. There are several algorithms for classification. This study looks for the best performance of data mining algorithms for decision tree classification, nave Bayes, k-nearest neighbors, neural networks and Support Vector Machines. Performance is seen without using feature selection and using feature selection found in the RapidMiner application, namely Backward Elimination and Forward Selection. The data used is data on divorce cases at the Penajam Religious Court from 2018-2020. 2018-2019 data is used as training data and 2020 data is used as test data. The best performance found from the use of test data is the nave Bayes algorithm that uses Backward Elimination with an accuracy value of 81.72% and AUC 0.691.
Analisa dan Perancangan Sistem Informasi Helpdesk Berbasis Web DENGAN Metode Rapid Application Development (STUDI KASUS: PT Lintas Telematika Nusantara) Anggi Wiranata; Bagus Prabawa; Achmad Hindasyah
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022 (On Progress)
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Lintas Telematika Nusantara is a company that provides information technology solutions, with a focus on Internet Service Providers, System Integrators, Data Center Services, Managed Services and IT Consultants. The customer problem complaint service still uses e-mail, telephone, and chat applications that are not recorded centrally to be used as reports and evaluation materials for management. The helpdesk information system analysis and design activities involve the company team actively in the development and testing phase. Activities are carried out incrementally with the intention that business processes can be better understood for all teams involved. The goal is to make it easier for the PT. Lintas Telematics Nusantara team to carry out further development. Programming features or components that already exist in the application library owned by the company can be utilized in development. Implementing the Rapid Application Development (RAD) system development method using Unified Modeling Language (UML) tools in system analysis and design. For implementation using the PHP programming language and MySQL database. Applying the black box testing method to test the system that has been developed Lintas Telematika Nusantara merupakan sebuah perusahaan yang melayani solusi teknologi informasi, dengan fokus kepada InternetService Provider, System Integrator, Data Center Services, Managed Servicedan IT Consultant. Layanan pengaduan permasalahan pelanggan masih menggunakan sarana e-mail, telepon, dan aplikasi chat yang tidak tercatat secara terpusat untuk dapat dijadikan laporan dan bahan evaluasi bagi manajemen. Kegiatan analisa dan perancangan sistem informasi helpdesk melibatkan tim perusahaan secara aktif dalam fase pengembangan dan pengujian. Kegiatan dilakukan secara inkrimental dengan maksud agar bisnis proses dapat dipahami lebih baik untuk semua tim yang terlibat. Tujuannya agar memudahkan tim PT. Lintas Telematika Nusantara untuk melakukan pengembangan lebih lanjut. Fitur atau komponen pemrograman yang sudah ada dalam library aplikasi yang telah dimiliki perusahaan dapat dimanfaatkan dalam pengembangan. Menerapkan metode pengembangan sistem Rapid Application Development (RAD) dengan menggunakan tools Unified Modelling Language (UML) dalam analisa dan perancangan system. Untuk implementasi menggunakan bahasa pemrograman PHP dan basis data MySQL. Menerapkan metode black box testing untuk menguji sistem yang sudah dikembangkan.

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