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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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Prototipe Detektor Mata Uang Kertas Untuk Modul Vending Machine Automatic Cash Money Menggunakan Rapsberry Pi Sigit Anggoro; Tacbir Hendro
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.v20i2.361

Abstract

Vending Machines are strategic trading machines when it comes to social and physical distancing policies during the current Covid 19 pandemic. The ability to trade independently in trading without a physical meeting is one of its advantages. On the other hand, the Vending Machine payment system has developed with many variations ranging from payment models using coins, banknotes, payment gateway systems capable of serving debit and credit payments and the ability to make payments via fintech. This study focuses on the banknote detection module using the Oriented FAST and Rotated BRIEF (ORB) algorithm. In order to become a prototype that is ready to be developed in the future, the banknote detection module needs to be made in a concise and independent form. The use of the Rapsberry Pi and the ability to work on complex algorithms is one of the goals that will be achieved from this research. This research is expected to be able to apply the ORB algorithm for the classification of Rupiah banknotes and at the same time be able to further develop it to sort (sort) for banknotes that meet the requirements (accept) and reject those that do not meet the requirements (reject).
Sistem Monitoring Penghitungan Barang Otomatis Berbasis Internet of Things Ahmad Rafli; Didik Setiyadi; Syahbaniar Rofiah
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.v19i1.122

Abstract

Technology is something that was created to help and facilitate human work in various aspects needed for the survival and comfort of life in the company. All goods produced will be counted before distribution. The calculation and input of goods in PT Winner Pratama has not been done automatically, so the researchers solved the solution by creating an automated item counting system based on the Internet of Things and Website. This system is designed using Infrared (IR) Sensor, Nodemcu esp8266, Breadboard, Jumper cable, Buzzer, Push Button, Lcd I2c, Database, and Dcmotor. With the prototype method to simulate this system before it is applied in the production field to find out how the system works. And based on testing infrared sensors as much as 10x by means of an object closer to the sensor with a distance of 2-6 cm successfully, this system can help employees to find out the number of items automatically generated every day, without having to do the calculations manually. In addition to automatic counting, the system also performs input automatically and the data is stored in a database.
Aplikasi Penimbangan Balita Berbasis Internet Of Things (IoT) Untuk Meningkatkan Layanan Posyandu Rully Pramudita; Muhammad Faisal
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.v20i2.409

Abstract

One of the services at the posyandu is weighing toddlers. But sometimes there is still a lack of accuracy in the measurement results. Therefore, in this study, designed and realized something that can measure body weight and provide information accurately and connected to a database. The software development method used in this research is the prototype method which supports the stages of making a prototype product before it becomes the final result. This measuring tool uses Arduino Uno as a microcontroller board, loadcell sensor to measure weight, and RFID to detect toddler's self data. The data from the two sensors is processed by Arduino Uno to be input into the database, the toddler's weight will be displayed on the LCD and sensor data will be displayed on the monitoring website. The results of the blackbox test of this system indicate that the tool can function properly
Sistem Rekomendasi Buku di Perpustakaan Berbasis User-Based Collaborative Filtering Missi Hikmatyar; Ruuhwan Ruuhwan; Zery Hendra
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.v18i2.62

Abstract

A library has a Book Search System, both search books by title, author, publisher and book subject. Book search results displayed by the system, sometimes it makes users (library members) find it difficult to choose books that match their profile. For that we need a system that can provide recommendations in the book search process to provide recommendations systematically based on previous user searches. This study aims to produce a book search recommendation. Recommendation system aims to reduce errors in getting the reference books needed. The information that comes out of the search process is right on target with user needs so that it can streamline time in searching for books. Book search recommendation system uses a user-based collaborative filtering method based on the similarity of one member to another member based on the lending pattern which is grouped based on the subject of the book being sought. This system will display the results of book search recommendations by ranking ranking from highest to lowest and provide book title solutions to users according to their profile. The development of the book search recommendation system uses the System Development life cycle (SDLC) method. Book recommendation system based on user-based collaborative filtering depends on the search for books by users by looking at the similarities of search by users.
Sistem Rekomendasi Penjualan Menu Makanan di UMKM Kuliner Menggunakan Association Rule Ade Kania Ningsih; Wina Witanti
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.v20i2.265

Abstract

Micro, Small and Medium Enterprises (MSMEs) are one of the driving motors of the economy in the country, even MSMEs are the backbone of the Economy in Indonesia. MSMEs in Indonesia account for about 60% of GDP (Gross Domestic Product) and also provide employment opportunities to the community. However, with the emergence of THE COVID-19 outbreak of MSMEs in West Java there has been a decrease of up to 80%. This is a problem that exists, MSMEs customers are segmented based on the region due to large-scale social restrictions. This research conducted a review of product sales recommendation system in on-line shop using association rule mining in the culinary industry sector. The research begins with data selection, pre-process data, and data transformation, then the data that has been cleaned will be tested with A priori algorithm. The rules will evaluate using support, confidence, and an upgrade value to determine whether it's the best rule or not. The results of this study are software that will calculate the formation of association rules between culinary products. After an experiment with data amounting to 100 data, an association rule was obtained in the form of a certain pattern of customer behavior, by using Association Rules Technique and Apriori Algorithm, 12 rules are generated with a support threshold of 5% and a confidence threshold of 80%.  , Usaha Kecil dan Menengah (UMKM) merupakan salah satu motor penggerak perekonomian dalam negeri, bahkan UMKM merupakan tulang punggung Perekonomian di Indonesia. UMKM di Indonesia menyumbang sekitar 60% dari PDB (Produk Domestik Bruto) dan juga memberikan kesempatan kerja kepada masyarakat. Namun dengan munculnya Wabah COVID-19 pada UMKM di Jawa Barat terjadi penurunan hingga 80%. Hal ini menjadi permasalahan yang ada, nasabah UMKM tersegmentasi berdasarkan wilayah karena adanya pembatasan sosial berskala besar. Penelitian ini melakukan review terhadap sistem rekomendasi penjualan produk di toko on-line dengan menggunakan Association rule mining pada sektor industri kuliner. Penelitian diawali dengan pemilihan data, data praproses, dan transformasi data, kemudian data yang telah dibersihkan akan diuji dengan algoritma apriori. Aturan akan mengevaluasi menggunakan dukungan, keyakinan, dan nilai peningkatan untuk menentukan apakah itu aturan terbaik atau bukan. Hasil dari penelitian ini berupa software yang akan menghitung pembentukan aturan asosiasi antar produk kuliner. Setelah dilakukan percobaan dengan data sebanyak 100 data, diperoleh aturan asosiasi berupa pola perilaku konsumen tertentu, dengan menggunakan Association Rules Technique dan Apriori Algorithm dihasilkan 12 aturan dengan support threshold 5% dan confidence threshold. dari 80%. 
Evaluasi Kinerja Sistem Aplikasi E-commerce Shopee menggunakan Metode PIECES Framework Heru Dwi Permana; Anindya Ananda Hapsari; Dian Nugraha; Ariep Jaenul
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.v20i2.358

Abstract

Saat ini persaingan platform E-commerce semakin ketat sejak mewabahnya pandemic covid-19, maka tidak sedikit perusahaan E-commerce dihadapkan dengan berbagai peluang dan ancaman baik dari dalam maupun dari luar negeri. Penggunaan Aplikasi Shopee sebagai objek penelitian dikarenakan Shopee paling banyak diakses oleh kalangan anak muda dimana pada tahun 2021, menurut penulis Aplikasi Shoppe akan mengalami sebuah kendala jika dipakai secara bersamaan disaat mengadakan kampanye big sale. Penelitian ini bertujuan untuk mengukur hubungan Evaluasi Kinerja Sistem dengan menggunakan metode PIECES framework yang meliputi 6 dimensi variabel performance, information, economics, control and security, efficiency, dan service terhadap Aplikasi E-commerce Shopee, yang bertujuan untuk mengetahui tingkat Kinerja Sistem Aplikasi dari sisi kelemahan, kekuatan dan menganalisis komponen apa saja yang perlu ditingkatkan Kinerjanya. Dalam penelitian ini penulis menggunakan jenis penelitian kuantitatif karena adanya variabel-variabel yang telah di telaah hubungannya, serta bertujuan untuk menggabarkan dan meringkas dari berbagai situasi dan kondisi mengenai fakta - fakta tertentu antara keterkaitan variable yang diteliti. Adapun data primer yang didapatkan berdasarkan dari jumlah responden sebesar 78 Mahasiswa Program Studi Teknik Informatika Kampus Jakarta Global University. Variabel Indpenden (X) dalam penelitian ini adalah Evaluasi Kinerja Sistem sedangkan Variabel dependent (Y) dalam penelitian ini adalah Aplikasi E-commerce Shopee. Maka Dengan metode PIECES Framework akan mengefesiensikan Kinerja Sistem untuk menjadi acuan dimensi manakah yang harus diperbaiki kedepannya agar kinerja system Aplikasi E-commerce Shopee menjadi lebih optimal
Pengembangan Model Pengukuran Sistem Informasi Akademik Terhadap Kepuasan Pengguna Menggunakan Technology Acceptance Model Dan Delone&Mclean Herlina .; Ninik Sri 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.v20i2.255

Abstract

Peran teknologi sebagai penunjang kebutuhan administrasi kependidikan salah satunya adalah Sistem Informasi Akademik (SIAK) yang di rancang untuk mempermudah para pengguna khususnya mahasiswa dalam melakukan kegiatan akademik.Tujuan dari penelitian ini adalah menguji pengaruh perilaku pengguna Sistem Informasi Akademik Berbasis Web terhadap kepuasan pengguna sistem informasi. Model penelitian yang digunakan mengacu pada model penerimaan dan kepuasan terhadap penerapan teknologi sistem informasi yakni Technology Acceptance Model (TAM) dan model Delone McLean. Data dikumpulkan dari kuesioner yang dibagikan kepada 400 mahasiswa  Institut Seni Budaya Indonesia (ISBI) Bandung. Analisis data menggunakan software AMOS (Analysis of Moment Structure) dan analisis regresi melalui program SPSS. Hasil penelitan menunjukkan bahwa pengguna sistem informasi akademik berbasis Web memiliki pengaruh positif dan signifikan terhadap kepuasan pengguna sistem informasi pada Institut Seni Budaya Indonesia (ISBI) Bandung. Analisis koefisien determinasi (0,474) menunjukkan bahwa sebesar 47,4% dari total tingkat kepuasan pengguna sistem informasi dipengaruhi oleh variabel perilaku. Hal ini menunjukkan semakin baik penggunaan sistem informasi akademik berbasis web yang diterapkan, maka tingkat kepuasan pengguna sistem informasi akademik tersebut semakin tinggi
Penerapan Algoritma C4.5 Pada Imbalanced Dataset Untuk Memprediksi Kegagalan Angsuran Properti Yodi Susanto; Devit Setiono; Muhammad Syafrullah
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.v20i2.372

Abstract

In this research, the data collection carried out by studying the patterns of consumers who fail to pay, which aimed to build a model so that it could be used in predicting customers who have the potential to fail to pay. The research used the Cross-Industry Standard Process for Data Mining (CRISP-DM) method with details of the business understanding process, data understanding, data preparation, modeling, evaluation and deployment / interpretation. The dataset in this research was taken from sales, cancellation and consumer data from January 2016 to December 2019. Because the dataset in this research was an imbalanced dataset, the researchers tried to use Synthetic Minority Oversampling Technique (SMOTE) in handling the imbalanced dataset. The research conducted a comparison of the value of accuracy, precision, recall, f measure and Area Under the ROC Curve (AUC) between the original dataset and the dataset for the addition of the SMOTE technique to several algorithms including C4.5, K-NN and Naïve Bayes. The attributes used in this research were source of funds, purpose of purchase, age, selling price, occupation, total installments, percentage of total installments, monthly installments, percentage of late installments and status. From the comparison, it was found that the C4.5 algorithm with the SMOTE 480% dataset had the highest accuracy value of 97.62%, precision of 0.976, recall of 0.976, f measure of 0.976 and AUC of 0.986 which meant Excellent Classification. From the research conducted, it was expected that the model formed on the imbalanced dataset with the C4.5 and SMOTE algorithms could be used to predict consumer installment failures.
Sistem Rekomendasi Pembelian Sepeda Motor Bekas Menggunakan Metode Fuzzy Tahani Yuli Murdianingsih; Ulfah Sitiumayah
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.v19i1.111

Abstract

A used motorcycle is an option in the quest to buy a motorcycle, reliability is one factor. Accessibility means the size and the sum of the installment. Affordability is very important given the Covid-19 pandemic and economic recession, particularly in an environment of economic downturn. This research aims to establish a used motorcycle purchase recommendation system using the year's criteria for the manufacture of used motorcycles, prices,  and installments in the purchase of used motorcycles, as well as to assess how high the reliability of the used motorcycle purchase recommendation system is. Firstly, twenty used motor data were obtained which were used to analyze recommendations, secondly to determine the domain size, thirdly to determine the function and degree of membership for each parameter, fourth to measure fire intensity and fifth to determine recommendations for the purchase of used motorbikes. Testing device reliability using the MAE tool. The framework was implemented using the interface MySQL DBMS and PHP. Using the Fuzzy Tahani method, the search for used motorbikes can be carried out, with the benefit of providing the installment quantity parameter and fifty-eight percent of the device reliability for buying used motorcycles.  
Metode Multi Attributive Border Approximation Area Comparison (MABAC) Untuk Penilaian Kinerja Dalam Pengelolaan Alokasi Dana Desa (ADD) cucu - handayani; Adi Muhamad Muhsidi; Nur Isti Khomalia
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.v20i2.377

Abstract

The Village Fund Allocation is one income proceed for the Village Revenue and Expenditure Budget of the rural government. For the implementation of financial governance, the Department of Community and Rural Empowerment does not yet have a performance appraisal system in managing the Fund Allocations. The Performance Appraisal System which is developed in this study aims to determine the optimality of rural governments in managing the Village Fund Allocation. The research methodology used in the study is MABAC (Multi-Attributive Border Approximation Area Comparison), a multi-alternative decision type. This method was chosen because of its stability and consistency in the solutions of decision making, compared to other decision support methods. The study was carried out on 11 villages with predetermined criteria data. From this data, an analysis is carried out resulting in values of performance assessment as well as the optimality of Fund Management.

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