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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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Sistem Pendeteksi Penyakit Kardiovaskular Berbasis Web Dengan Framework Flask Menggunakan Metode Random Forest Resty Nandya; Prima Dina Atika; Ahmad Fathurrozi
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Penyakit Kardiovaskular atau Cardiovascular (CVD) menurut definisi WHO (WorldHealthOrganization) adalah sekelompok gangguan jantung dan pembuluh darah, seperti penyakit jantung koroner, penyakit serebrovaskular, penyakit arteri perifer, penyakit jantung kongenital, penyakit jantung rematik, dan trombosis vena dalam. Menurut data yang diberikan oleh WHO (World Health Organization), Penyakit Kardiovaskular menjadi penyebab kematian nomor satu secara global dan diperkirakan 17,9 juta orang meninggal disetiap tahunnya. Tujuan dari penelitian ini adalah membangun sistem pendeteksi penyakit Kardiovaskular menggunakan metode RandomForest dengan tingkat akurasi yang lebih baik. Penelitian ini berbasis web dan dibangun dengan bahasa pemrograman Python. Adapun model yang sudah diperoleh akan diimplementasikan ke dalam aplikasi web menggunakan framework pengembangan web pada python yaitu Flask serta Heroku sebagai platform deployment. Dari penelitian yang telah dilakukan hasil akurasi algoritma RandomForest adalah sebesar 87,07% dengan variabel yang paling berpengaruh dalam pengklasifikasian adalah variabel systolic.
Perancangan Sistem Informasi Penggajian Karyawan Pada Koperasi Syariah Islamic Centre Bekasi Berbasis Web Rina Fitriani -; Marhakim Marhakim; Adhitya Ilham Ramdhani Ramdhani; Siti Arum
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 Syariah Islamic Center Bekasi Cooperative is one of the cooperatives in Bekasi that organizes parking service management businesses, catering needs providers, financing units (Goods Credit), Retail (Ic Mart, Canteen, and Kedai Kopsyar) which still use Microsoft Word and Excel in making their reports. If an economic data processing activity is still done manually it will cause various problems, including requiring quite a long time just to make records, checking existing data one by one and the information conveyed to managers is always late. Therefore we need a computerized system, especially web-based with the waterfall method in order to provide information to employees and other parties quickly, precisely and accurately.
Perancangan Sistem Informasi Pendaftaran Konsultasi Online Berbasis Website Di Rumah Sakit Ibu Dan Anak Limijati Kota Bandung Nur Azizah Amaliatu Rizqi; Johni Pasaribu; Annisa Ulfah
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Awal tahun 2020, wabah pneumonia baru yang dimulai di Wuhan, Provinsi Hubei, dan dengan cepat meluas ke lebih dari 190 negara dan wilayah mengguncang seluruh dunia. Coronavirus illness2019 adalah istilah yang diberikan untuk wabah ini coronavirus disease 2019 (COVID-19). Penyebaran penyakit ini berdampak signifikan pada masyarakat dan ekonomi. Rumah Sakit Ibu dan Anak Limijati merupakan salah satu rumah sakit yang memberikan pelayanan Konsultasi Online. Penyelenggaraan pendaftaran layanan Konsultasi Online di Rumah Sakit Ibu dan Anak Limijati Bandung masih dilakukan secara manual. Dengan adanya permasalahan tersebut penulis mengusulkan untuk merancang sistem informasi pendaftaran Konsultasi Online berbasis website dengan menggunakan HTML dan CSS di Rumah Sakit Ibu dan Anak Bandung. Metodologi penelitian ini menggabungkan teknik penelitian kualitatif dengan kerangka deskriptif. Studi ini memperkenalkan sistem konsultasi online yang mendorong komunikasi antara pasien, rumah sakit, dan dokter. Dengan bantuan perangkat ini, dokter dapat merawat pasien dari kejauhan. Selain itu, teknologi ini memungkinkan pesan teks dan panggilan video antara profesional medis dan pasien. Dan diperkirakan akan membantu petugas dalam memproses data pendaftaran pasien secara akurat dan cepat.
Sistem Informasi Reservasi dan Pembayaran Tagihan Hotel Menggunakan Payment Gateway Parasian D.P Silitonga; Evinri Mentari Parhusip
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Hotel Reservation and Bill Payment Information System using Payment Gateway, is an information system that focuses on reservation data and payment systems using payment gateways entered by receptionists in business transactions. In the previous system, data was entered manually by taking notes in the guest book or agenda book. The risk is less effective and efficient management. Using a web[1]based information system, the input data of each transaction can be recapitulated quickly. Therefore, a website-based recording system is needed to improve the efficiency of the work system in hotels. The development of this system aims to help manage reservation and payment data more effectively and efficiently, so that transactions are recorded and stored properly. The system is created using the SDLC Waterfall method, which includes analysis of system needs, system design, system implementation, system testing and system maintenance. Website-based system, using PHP programming language with Laravel framework, Sublime Text editor, and Xampp as localhost, MySql Database. The existence of a web-based information system will overcome errors in the recording process manually and make it easier to make reports related to reservations for the finalization of computerized transaction data automatically.
Perbandingan Metode Word Embedding Untuk Analisis Sentimen Pada Data Ulasan Marketplace Nur’aini; Arfian Yogi Ferianto; Dhani Ariatmanto; Mardhiya Hayaty; Norhikmah .
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Marketplace is a platform for buying and selling goods online, one of whichis shopee. The platform provides a lot of short text data about reviews of various products being sold. Therefore, sentiment analysis is carried out for the classification of reviews by taking into account the factors in the sentiment object.In sentiment analysis, there is a more advanced method, namely using word embedding, word representation in vectors, many researchers have used this method in their research. Therefore, this study uses review data obtained from the shopee marketplace for sentiment analysis.In this study, data is classified using Long Short Term Memory (LSTM).Reviews that are classified will have 2 labels namely positive and negative. Thisstudy aims to determine the final accuracy and vocabulary generated by word embedding which is classified using LSTM in analyzing sentiment in Indonesian shopee reviews.Word embedding methods used are Word2Vec and Global Vector (Glove).This study uses a dataset of 10,000 to produce a vocabulary of 18004 words. From the dataset, 80% training data and 20% test data were distributed. The accuracy of the word embedding word2vec method is 83% and the word embedding Glove method gets 86% accuracy.
Identifikasi Epilepsi Dengan Segmentasi 5 S Pada Klasifikasi Extreme Learning Machine Siswandari Noertjahjani; Yanuarita Tursinawati; Tito Pinandita
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Epilepsi adalah penyakit tidak menular yang ditandai dengan kejang akibat pelepasan listrik episodik tidak wajar atau banyak dari sel saraf dengan bermacam etiologinya. EEG adalah alat untuk merekam gelombang otak epilepsi. Perekaman EEG yang terlalu lama akan membutuhkan biaya tinggi dan membosankan. Pembacaan data EEG yang banyak juga akan melelahkan dan bisa terjadi kekeliruan. Dengan pengolahan sinyal digital yang baik maka penelitian ini menggunakan metode dengan data yang disegmentasi sinyal 5 s di daerah Temporal (T3) kemudian setelah disegmentasi dihitung ciri mean, varian, standar deviasi, kurtosis, dan skewness. Data yang digunakan pada penelitian ini adalah 75 epilepsi dan 75 normal. Untuk mencapai akurasi yang tinggi maka klasifikasi yang digunakan Extreme Learning Machine (ELM) pada sinyal di filter dengan konvolusi least square linier phase FIR. Hasil akurasi yang diperoleh 99,8 % dengan ciri standar deviasi dengan sensivity 93,3 % dan spesitivity 96,3% kemudian ciri varian dengan akurasi 82,2% , sensitivity 80,6% dan spesitivity 81,4%.
Pemilihan Program Studi Menggunakan Algoritma FP-Growth dan J48 Norhikmah; Rumini
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 study program is an absolute thing and must be chosen by prospective new students when registering to become a student, the lack of knowledge of the courses offered by the campus becomes a difficulty in determining study programs that match their interests. The first research method of analyzing data uses the association rule to get the relationship of study programs with other study programs, and subsequently classifies the study program using decision tree j48, and is followed by examiners using confusion matrux. The results of this study are to use the association rule Fp-Growth method obtained 10 best rules, namely for the first rule D3 Informatics with International Relations. Of the 10 rules obtained as a reference or basis for determining classes on the j48 algorithm, from the results of the 10 rules, analyzed according to the rules applied in Amikom, then obtained into 11 classes where the rules are based on the origin of natural science or social studies schools. By using the j48 algorithm, 99.8% accuracy is obtained with the highest hierarchy in the decision tree, namely the D3 Informatics study program and for the origin school, namely IPS high school
Evaluasi Tingkat Kapabilitas Keamanan Sistem Informasi Menggunakan Kerangka Kerja Cobit 2019 Acihmah Sidauruk; Asro Nasiri
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Abstract- Organizational dependence on information technology support is getting bigger. An increase in information security must accompany the use of information technology. Information is currently a vital asset for the XYZ university; therefore, an evaluation of how well the controls and activities are in protecting information assets needs to manage at the XYZ university. The assessment uses the COBIT 2019 framework in the APO12, APO13, and DSS05 domains to identify XYZ university's capability in managing information security. The evaluation results show that information security management at XYZ University is still at capability level 2 for the APO12, APO13, and DSS05 domains. There are 17 recommendations for improving the implementation of information security.
Penggunaan Algoritma Naive Bayes dalam klasifikasi Pengaruh Pencemaran Udara Dewi Kusumaningsih; Amri Wicahyo; Ahmad Pudoli; Noripansyah .
Jurnal ICT: Information Communication & Technology Vol. 21 No. 1 (2021): JICT-IKMI, Juli 2021
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

one of the factors used to identify environmental problems and living things is information on the effect of air pollution. In overcoming this problem, there are 20 types of classification of the effect of air pollutants on the decision of the Environmental Impact Management Agency (BAPEDAL) for the third attachment regarding the Effect of the Air Pollutant Standard Index for Each Pollutant Parameter. Referring to the problem, this study uses the DKI Jakarta dataset source which collects data from the Air Quality Monitoring Station (SPKU) and uses the Air Pollution Effect Classification application which aims to obtain information on the effect of air pollution by conducting a classification process based on past data from the dataset in 2018 to 2020. The application can run the Knowledge Discovery in Database (KDD) process including data mining or data mining using the classification method with the Naive Bayes algorithm. In this application there is a dataset processing feature into a training data to make the dataset accurate as a determining variable in the Naive Bayes classification process. So, the result of this application is that it can give the results of the classification of the effect of air pollution according to past data. For the testing process, 129 lines of testing data against 4061 lines of training data resulted in an accuracy of 96% of the classification of the effects of air pollution. Thus the conclusion of this study, can provide information on the effect of air pollution that is useful for living things and the environment with a fairly high accuracy of past data..
Perbandingan Analisis Usability Aplikasi Marketplace Pertanian Menggunakan Metode Usability Testing dan User Experience Questionnaire Eva Proditus Sianturi; Miftahul Jannah
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Marketplace engaged in the agricultural sector has a role as a direct liaison between farmers and consumers as well as answers to problems faced by farmers in terms of distribution of agricultural products. Several reviews on the Google Play Store from marketplace application users assessed that the process of ordering goods in the Sayurbox and Segari applications was less effective and efficient. This study aims to compare the convenience, perception and user experience obtained when using the Sayurbox and Segari applications which have the same business characteristics in usability. The comparison method uses usability testing through task scenarios to obtain aspects of usability measurement, namely effectiveness, efficiency for 5 respondents. After that, interviews were conducted to find out more detailed usability problems while the user satisfaction aspect used the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) questionnaires which were distributed to 50 respondents online via Google form. The results showed positive perceptions of respondents to the Segari application with an average value of > 0.8 which is the limit of the normal result value and has the highest value for each parameter compared to the Sayurbox application. This shows that the Segari application has a better reception, ease, and perception or user experience.

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