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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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Analisa Penjualan Sarang Burung Walet Dengan Metode Naïve Bayes Rhama Aulia Febrian; Dendi Sugito; Michael Albert Kristiyanto
Jurnal ICT : Information Communication & Technology Vol 18, No 2 (2019): JICT-IKMI, Desember 2019
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v18i2.67

Abstract

The method used in the SPK research of swiftlet nest sales uses the naïve bayes method because complex problems can be easily simplified so as to obtain a decision making process by providing a comparison value of each criterion to determine the criterion value from the sales of swiftlet nests so that we can find swiftlet nests. what sells the best using the naïve bayes method. From the data set that we have obtained, there is a value that contains about how the sale value of swiftlet nests that are sold with the highest selling value, observation of cases that we process this further, should in the future provide quality sales value and can be detailed by doing calculations which is very appropriate, so that each swiftlet nest sale can still be controlled and be detailed by every business person in the business field. In the data set that we process in swallow's nest sales data every 2 months has three steps in the naïve bayes method in order to find results in every nest sale. 1. looking for Prior Proba values, 2 Calculating the Likelihood value for each attribute, 3 calculating the Likelihood value for each attribute so that it can find the final value on each calculation that can be used as the final value for each sale.
Penerapan Metode Simple Additive Weighting (SAW) Dalam Pemilihan Peminatan Jurusan Siswa di SMK Mandalahayu Satria Satria .; Rinanti .; Kikim Mukiman; Zaenal Mutaqin Subekti
Jurnal ICT : Information Communication & Technology Vol 20, No 2 (2021): JICT-IKMI, Desember 2021
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.374

Abstract

SMK Mandalahayu Bekasi is one of the schools in the city of Bekasi which routinely carries out the selection of majors for its students every year. The major is intended so that later students can complete school according to their interests and abilities before continuing to a higher level. The current majors selection process has drawbacks, including it takes a long time and the results obtained are less accurate because there could be many mistakes due to the unavailability of a special application to support these calculations. In addition, the element of subjectivity is quite high because the criteria used are still few and less relevant. To overcome this problem, a decision support system is made to determine the selection of majors. In this study using the Simple Additive Weighting (SAW) method. The criteria used are Mathematics SKHUN scores, Indonesian SKHUN scores, English SKHUN scores, Written Test scores and Interview Test scores. The final result of this study found that the decision support system with the SAW method was able to overcome problems in the selection process of majors at SMK Mandalahayu Bekasi. From taking a sample of several students who have been calculated using the SAW method, the correct major is AP because the value is 79, RPL because the score is between 90-100 and AK, because the score is between 80-89
Perancangan Sistem Informasi Honor Mengajar Guru Di Sma Al Ma’soem Muhamad Fahmi Nugraha; Indah Mardiyah Lestari
Jurnal ICT : Information Communication & Technology Vol 19, No 2 (2020): JICT-IKMI, Desember 2020
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.273

Abstract

The payroll system is a function of human resource management. Its main role is to reward teachers in the form of salaries in exchange for contributions to schools and their performance.The purpose and purpose of this report is to minimize the risk of duplication and deletion of data, make it easier to present reports so that they can be generated automatically, make it easier for TU staff to calculate the teaching honorarium of teachers at SMA Al Ma'soem.The method used in system design is SDLC (System Development Life Cycle). Where in its application using the waterfall model, namely the Waterfall method is a sequential software development process, where progress is seen as continuing to flow downward (like a waterfall) through the phases of planning, modeling, implementation (construction), and testing. The system modeling uses Flow maps, Data Flow Diagrams, Structure Charts, Data Dictionary and ERD.Thus, the Information System for Teaching Honor Teachers at Al Ma'soem High School is expected to assist in processing data and processing teacher payrolls.
Evaluasi Kualitas Website Seleksi Masuk Mahasiswa Dengan Metode McCall Gifthera Dwilestari; Nisa Dienwati Nuris
Jurnal ICT : Information Communication & Technology Vol 19, No 1 (2020): JICT-IKMI, Juli 2020
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v19i1.127

Abstract

The use of websites as a medium for disseminating information is a matter that is familiar in this era of digital technology. Telkom University which is a tertiary institution in Indonesia which often carries digital themes in its campus certainly does not want to be left behind in the use of websites as a medium for disseminating information and marketing for the community. This study aims to analyze the quality of the information system on the smb.telkomunivesity.ac.id New Student Selection website which is used as an information center for admission of new students as well as registration for Telkom University entrance selection with indicators of McCall's information system quality factors. Based on the results of the study, the smb.telkomuniversity website is concluded to be a good quality website and can provide benefits for its users
Sistem Rekomendasi Pemilihan Buku Menggunakan Algoritma Collaborative Filtering pada Perpustakaan Universitas Muhammadiyah Sukabumi Ergina Kamilia Putri
Jurnal ICT : Information Communication & Technology Vol 20, No 2 (2021): JICT-IKMI, Desember 2021
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.386

Abstract

Abstract- The book is a reference because it has a function, it is available in the library so that it can be used by everyone. Almost every book is in the library, it's just that some people are still confused in choosing what books to read. Therefore, a book recommendation system was created, especially now that almost every library system runs online. With the recommendation system, library users can read books according to the recommendations that have been given. The purpose of this study was to create a book recommendation system at the Muhammadiyah University of Sukabumi library and to see the value of accuracy in making a recommendation system. The method used in this research is using the Collaborative Filtering method, with various calculations from finding the similarity, predictive value to the accuracy value of the recommendations obtained. Based on the results of the research that has been done, it shows that Collaborative Filtering produces an accuracy value of 93%, which means that the recommendation system with this method has very good accuracy results. Abstrak- Buku merupakan sebuah referensi karena memiliki fungsi, tersedia di dalam perpustakaan sehingga dapat dipakai oleh semua orang. Hampir setiap buku ada di dalam perpustakaan hanya saja beberapa orang masih kebingungan dalam pemilihan buku apa yang harus dibaca. Maka dari itu dibuat sebuah sistem rekomendasi buku terutama saat ini hampir setiap sistem perpustakaan berjalan secara online. Dengan adanya sistem rekomendasi, para pengguna perpustakaan dapat membaca buku sesuai dengan hasil rekomendasi yang telah diberikan. Tujuan dari penelitian ini untuk membuat sistem rekomendasi buku pada perpustakaan Universitas Muhammadiyah Sukabumi dan melihat nilai akurasi dalam pembuatan sistem rekomendasi. Metode yang digunakan pada penelitian ini yaitu menggunakan metode Collaborative Filtering, dengan adanya berbagai perhitungan dari pencarian nilai kemiripan ataupun similarity, nilai prediksi hingga ke nilai akurasi dari hasil rekomendasi yang didapatkan. Berdasarkan hasil penelitian yang telah dilakukan, menunjukkan bahwa Collaborative Filtering menghasilkan nilai akurasi 93% yang artinya sistem rekomendasi dengan metode ini sangat baik hasil akurasinya.
Backpropagation Neural Network Untuk Prediksi Kesuksesan Film Secara Finansial Ani Rahmani; Muhammad Edwin
Jurnal ICT : Information Communication & Technology Vol 19, No 1 (2020): JICT-IKMI, Juli 2020
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v19i1.145

Abstract

A film is one of the entertainment media in human life. It makes the film industry becomes a potential business to get promising income. Prediction of success of a film financially supports film producers, production houses, distributors, and stakeholders in making decisions. The existing research on film predictions is from a popularity point of view. There is also research to predict success from a financial point of view, but using social media film rating data, which has been released. This paper is a study to find a predictive model for the success of films from the financial aspect of films that have not been released. The prediction model uses the Backpropgation neural network (BNN) algorithm by calculating the accuracy, precision, recall, and f-score. The observed variables  are a combination of film success parameters, namely, budget, genre, production company, holiday, runtime, and competition factor. The study results show that the use of more recent data, although less data, can produce better accuracy values, compared to using more data, films released in older years. From a financial point of view, the difference in the year the film was released, especially if it was tens of years, significantly affects the prediction results. Finally, the number of hidden layers and hidden nodes has a significant non-linear role in determining the prediction results.
Pengembangan Sistem Pakar Menggunakan Metode Papi Kostick Untuk Tes Kepribadian Sugiyatno Sugiyatno; Parasian D.P Silitonga; Uning Lestari
Jurnal ICT : Information Communication & Technology Vol 20, No 2 (2021): JICT-IKMI, Desember 2021
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.414

Abstract

This paper is a report on the results of developing an expert system using the Papi Kostick method which is used to test the personality of employees in a company. Papi Kostick method to evaluate individual behavior and work style in relation to work situations. The researcher's system development process uses the Software Development Life Cycle (SDLC) method. This expert system is implemented web-based. The tests used are validation testing and expert system accuracy testing. The test results are 100% which shows that the functionality of the system can run well according to the list of requirements. The results of the accuracy test show that the expert system using the Papi Kostick method can function properly. The results of the assessment, the company can see the progress and ability of its employees in doing certain jobs well and the suitability of employees with the workplace through personality tests. Assessment of employee behavior and work style is also useful for companies in providing feedback to employees and can be used as a basis for companies to conduct training, transfer, rotation and promotion of employees.
Sistem Pendukung Keputusan Pemilihan perumahan Berbasis Android dengan Metode Simple Additive Weigthing Aso Sudiarjo; Ruuhwan Ruuhwan
Jurnal ICT : Information Communication & Technology Vol 18, No 2 (2019): JICT-IKMI, Desember 2019
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Types of housing that are increasingly varied from the type of simple houses to luxury homes, where the house is a family need to be occupied in a relatively long time. Problems that occur consumers are sometimes difficult to choose the type of housing and location of houses to be purchased with long-term needs or for investment needs. This study aims to facilitate consumers in making decisions when determining the right type of housing and in accordance with the desired conditions. Therefore, as advances in information technology and the development of the Android operating system, system support in the selection of Android-based housing needs to be built, and the application of the Simple method Additive weighting for housing alternative selection. The SAW method concept is often referred to as the weighted sum method. There are six criteria to be taken into consideration, namely: distance to shopping centers, distance to education location, distance to health location, water availability, price and land area .. The method used in designing this application uses the Extreme Programming (XP) model. In the Extreme Programming (XP) method, there are 4 (four) stages in the Extreme Programming process: planning, design, coding, test. This system can support consumer decision making in choosing housing based on predetermined criteria. So that calculations on this decision support system are more accurate then an SAW method is used to determine the type of housing that matches the criteria sought by consumers.
Pengembangan Sistem Informasi E-Lelang Kendaraan Motor Second Pada FIF Group Kota Bandar Lampung Sukatmi .; Moch Irvan Maulana Sidiq
Jurnal ICT : Information Communication & Technology Vol 19, No 2 (2020): JICT-IKMI, Desember 2020
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.260

Abstract

Abstract- FIF group is one of company that moves in financing motor vehicle in the city Bandar Lampung .One of the activities done by FIF group is conducts an auction motor second .To bid process are needed a system information based information technology .The object is to expanding access auction which makes it easy for those interested in to follow auction motor second in FIF group city Bandar Lampung . E-lelang information system second a motor vehicle developed with the methods eXtream program. Used is a design usecase diagram, class diagram and activity diagram. Programming language used to auction development application in adobe dreameweaver, HTML MySQL database  support. The end result of development this is a system e-lelang a motor vehicle second in FIF group city Bandar Lampung. With the system e-lelang will ease the FIF in doing bid process and will facilitate the public or company want to join the an auction in the end would increase performance parties FIF group city Bandar Lampung .   ABSTRACTadjektiva: abstract, notional, noetic
Perbandingan Pengujian Boundary Value Analysis, Equivalence Partitioning dan Error Guessy (Studi Kasus Indeks Nilai) Johni Setiady Pasaribu
Jurnal ICT : Information Communication & Technology Vol 20, No 2 (2021): JICT-IKMI, Desember 2021
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.388

Abstract

Software testing is a critical and time-consuming element of the software development life cycle (SDLC). Software testing determines the quality of a software before it is used by end users. The main goal is to find software errors or defects so that these errors or defects can be corrected in this testing phase. There are two general techniques for detecting software errors, namely: Black Box and White Box Testing. Black Box testing technique is used for validation, namely whether you have built the right software and White Box testing is used for verification, namely whether the software made is correct. This study aims to test the value index software using three methods of Black Box testing techniques, namely Equivalence partitioning (EP), Boundary Value Analysis (BVA) and Error Guessing. The testing process is carried out to find out how much error occurs in the value index software. The research method is qualitative descriptive and analytical. The results of this study indicate that the value index application has no shortcomings (error of 0%) both with BVA, EP and Error Guessing techniques.

Page 12 of 27 | Total Record : 268

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