cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ananto Tri Sasongko
Contact Email
ananto@pelitabangsa.ac.id
Phone
+6288980229926
Journal Mail Official
ananto@pelitabangsa.ac.id
Editorial Address
Jl. Inspeksi Kalimalang No.9, Cibatu, Cikarang Sel., Kabupaten Bekasi, Jawa Barat 17530
Location
Kab. bekasi,
Jawa barat
INDONESIA
Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB
Published by Universitas Pelita Bangsa
ISSN : 24073903     EISSN : 28291891     DOI : https://doi.org/10.37366/sigma.v16i1
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB merupakan jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Informatika Universitas Pelita Bangsa (UPB) Cikarang dengan no p-ISSN 2407-3903 (Media Cetak). Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB adalah sebagai salah satu wadah publikasi bagi dosen-dosen yang memiliki penelitian ilmiah di bidang Teknik Informatika, Ilmu Komputer, Sistim Informasi, Artificial Inteligent, Data Mining, Image Processing, Rekayasa Perangkat Lunak. Setiap artikel yang diterbitkan oleh Jurnal Ilmiah SIGMA: Informatics Engineering of UPB telah melalui proses review dan editorial yang ketat serta menghormati ketentuan hukum hak cipta, privasi, dan etika publikasi ilmiah. Jurnal Ilmiah SIGMA : Information Technology Journal of UPB terbit dua kali dalam setahun, yaitu bulan Maret, Juni, September dan Desember.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
 1 
Search results for , issue "Vol 13 No 3 (2022): September 2022" : 10 Documents clear
Penerapan Algoritma K-Means Dalam Klasterisasi Penjualan Laptop Antika Zahrotul Kamalia; Elvan Aan Pradana; Nurhadi Surojudin
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

Laptops are indispensable both for students and for office workers because of their advantages compared to desktop computers. With the development of today's laptop era, there are various brands and specifications that sometimes make people have difficulty and difficulty in finding, choosing or buying the right laptop and according to their needs. Therefore, the purpose of this study is to determine the grouping of laptops that will be purchased by consumers using the K-Means algorithm method and to find out the relationships and clustering that can provide information to determine sales patterns for laptop sellers according to customer needs. Based on the results of the tests that have been carried out in this study, the K-Means algorithm shows a new insight, namely the grouping of laptop sales based on 3 clusters. Cluster 1 is a laptop sales category with low or Low specifications, namely 217 of 1000 laptop sales categories based on the specifications of the laptop being tested, then cluster 2 is a laptop sales category with medium or medium specifications, which is 286 of 1000 laptop sales categories based on the specifications of the laptop being tested, and the last is cluster 3 which is a category of laptop sales with fairly high specifications or High, namely 497 out of 1000 laptop sales categories based on the specifications of the laptop being tested. Keywords: Laptop, Data Mining, The k-Means algorithm.
Data Mining Implementation On Java North Coast Weather Forecast Dataset Using C4.5 Algorithm Dendy K. Pramudito
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

Weather is one of the most influential things in everyday human life. Many activities carried out by humans cannot be separated from the prevailing weather conditions. Lately, there have been frequent irregularities in weather patterns that are not usual or can be said to be extreme. Therefore, observing the weather is very necessary to make predictions about the weather. The northern coastline is one of the most important routes in Java, especially the northern coast route in the Central Java, due to that information about weather forecasts on this route is needed. The purpose of this research was to obtain the most influence factors of weather changes. The data mining approach used in this research is decision tree method and C4.5 algorithm. From the test results of 2,400 weather forecast data taken from the accuweather site and divided into 2, namely training data as much as 1,680 data, the rest of testing data as much as 720 data, the results obtained from a decision tree with the root node is the humidity attribute with an accuracy rate of 81.94% which has been proven through rapid miner 9.10 tools. Keywords: Weather Forecast, Data Mining, C4.5 Algorithm, Decision Tree
Implementasi Smart Farming Dengan Sistem Monitoring Kelembaban Dan Suhu Pada Tanaman Peppermint Berbasis Internet Of Things Muhammad Najamuddin Dwi Miharja; Tyo Repsi Harta Sanjaya
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

Technological developments in agriculture are increasingly advanced. all industries are competing to use the technology that characterizes the industrial revolution. To more easily understand Industry 4.0, the key is an internet-based network. One of them is smart farming. namely the use of platforms that are connected to technological devices. The mint plant comes from the European continent. This plant can grow anywhere such as Europe, Asia, Africa, Australia and North America. This plant can grow at an altitude of 100 to 900 m above sea level with a temperature of 20˚C – 30˚C, humidity 80-95% and full light intensity. In the research, the IOT bolting for temperature and humidity control, the results of this monitoring system proved that the sensor error rate was very small, which was 4%. Keywords Internet Of things(IOT), Smart Farming, hydroponics.
Penerapan Data Mining Untuk Prediksi Penerima Bantuan Pangan Non Tunai (BPNT) Di Desa Wanacala Menggunakan Metode Naïve Bayes Edy Widodo; Ahmad Jaelani
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

The Non-Cash Food Assistance Program held by the government is often not on target due to many factors, one of which is the number of criteria that must be considered to be a decision of beneficiaries. Of the eleven criteria set requires the right algorithm to perform calculations so that the results given are more accurate. Naïve Bayes algorithm is a method for classification using probability theory that has a high degree of accuracy. Naïve Bayes algorithm testing uses Rapid Miner tools that produce an accuracy rate of 96% of the 50 data provided. This algorithm is right for the selection of recipients of non-cash food assistance. There are 2 classes that are needed, namely Worthy and Not Eligible. Keywords: Classification, Naïve Bayes, Rapid Miner, Non-Cash Food Aid
Aplikasi Pengecekan Alat Pemadam Api Ringan (APAR) Berbasis Android Pada PT. XYZ Di Bekasi Endah Yaodah Kodratillah; Nisa Nurhidayanti; Ana Fitrotun Nisa
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

APAR has a very important effect for handling small / light fires in a place. PT. XYZ in Bekasi is an industry that is engaged in food production, so it takes a lot of fire extinguishers to meet government regulations (PERMENAKER). Due to the large number of fire extinguishers currently available, a system/application is needed to assist during the APAR checking process and data management based on Android based APAR checking results. So that the process can be carried out more quickly, precisely, and will get information on APAR that are nearing expiry/APAR which needs to be replaced with new APAR contents (refill APAR). The methodology used to develop this system uses the waterfall method and the PHP programming language. The result of developing this application is an APAR checking application/system that is useful for minimizing officer errors in writing, searching for data from APAR checking results quickly and accurately, and providing information to officers about APARs that will expire/need to be refilled. The application can be accessed anywhere and anytime via android/smartphone. Keywords: Checking APAR, Android, Waterfall, PHP, Expired APAR.
Analisa Data Mining Untuk Prediksi Penyakit Kanker Paru Dengan Algoritma Regresi Linear Suherman Suherman; Faris Muammar; Irfan Afriantoro
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

Lung cancer often causes no symptoms in its early stages. New symptoms appear when the cancer is large enough or has spread to surrounding tissues and organs. So that patients with lung cancer will only feel pain after the cancer spreads to the pleural layer, the thin layer that covers the lungs. This study aims to analyze lung cancer in early prevention. This study uses prediction techniques and stages in data mining to predict data on patients suffering from lung cancer with a linear regression algorithm method using rapidminer tools. training and 10% data testing. The results of the tests that have been carried out show that the variables or attributes used in this study (age, smoking, and test results) have a significant effect on this study, as evidenced by using a linear regression algorithm to provide good results with a Root Mean Squared Error value: 0.379 +/- 0.000 and Squared Error: 0.144 +/- 0.229. The conclusion of the research conducted by applying the linear regression algorithm can be made a prediction based on the functional relationship on the variables or attributes in the data. Keywords: Lung cancer, linear regression algorithm, Rapidminer
Penerapan Metode Vak Pada Game Edukasi Mengenal Huruf Hijaiyah Dengan Algoritma Fisher Yates Berbasis Android Asep Arwan; Yuliano Reismanda
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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

Abstract

Religious knowledge, especially hijaiyah for children, is very important as a rovision for the basis of their lives in facing life in the future. One of the benefits of the game is that it can be a medium of learning for children. In order for educational games to be more interesting when played, the authors apply one of the methods of developing the Multimedia Development Live Cycle (MDLC) which includes the concept, design, material collecting, assembly, testing and distribution stages. From the test results using black box, the system in the application works as expected. In this research, a problem is formulated on how to implement the Fisher Yates algorithm. The results of the questionnaire from 10 respondents stated that 92% agreed with the problems that had been described. As a solution to this problem, it is proposed to design an educational game "Knowing Hijaiyah Letters" to help foster children's interest in learning to recognize Hijaiyah letters with fun learning media. The use of multimedia-based educational programs that combine digital sound. In this study, the development of interactive learning media using the Visual Auditory Kinesthetic (VAK) learning approach was carried out. With this approach children can learn with the senses of sight, hearing, and movement. Keywords: Learning Media, Educational Games, Hijaiyah Letters, 2D Games
Penerapan Data Mining Untuk Penentuan Status Gizi Balita Menggunakan Algoritma Naive Bayes (Studi Kasus Posyandu Seruni Xii Kelurahan Karangraharja) Aceng Badruzzaman; Rita Nuraeni
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v13i3.7306

Abstract

Pembangunan kesehatan merupakan bagian penting dari upaya pemerintah dalam meningkatkan kualitas sumber daya manusia, salah satunya melalui pembinaan kesehatan sejak usia dini. Gizi berperan penting pada masa balita karena berpengaruh langsung terhadap pertumbuhan dan derajat kesehatan. Penelitian ini memanfaatkan data balita yang diolah menggunakan teknik data mining untuk menentukan status gizi balita. Metode yang digunakan adalah algoritma Naive Bayes dengan atribut berat badan (BB), tinggi badan (TB), dan umur. Hasil penelitian menunjukkan tingkat akurasi sebesar 90,91% untuk penentuan status gizi berdasarkan BB/U dan 92,42% berdasarkan TB/U.
Penerapan Sistem Aplikasi Pembayaran Berbasis Website Dengan Metode Rapid Application Development (Rad) Untuk Mempermudah Pembayaran Dalam Usaha Mikro Kecil Dan Menengah (Umkm) Di Hayu Laundry Antika Zahrotul Kamalia; Wawan Andriyan
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v13i3.7307

Abstract

Banyak perusahaan jasa laundry masih melakukan pencatatan transaksi dan keuangan secara manual sehingga data tidak terintegrasi secara waktu nyata dan berpotensi menimbulkan kesalahan pengolahan. Penelitian ini bertujuan merancang dan membangun Aplikasi Web Manajemen Laundry yang mampu mempermudah pencatatan serta pengolahan data keuangan secara terkomputerisasi. Aplikasi dikembangkan menggunakan bahasa pemrograman PHP dan HTML dengan basis data MySQL, serta didukung teknologi web service untuk integrasi data. Metode pengembangan sistem yang digunakan adalah Rapid Application Development (RAD) yang meliputi tahap perencanaan kebutuhan, perancangan, implementasi, dan pengujian. Hasil penelitian menunjukkan bahwa aplikasi yang dibangun mampu mengelola data transaksi, pengeluaran, dan laporan secara akurat dan waktu nyata, serta dilengkapi fitur pendukung berupa pengelolaan data pelanggan dan pengguna. Pengujian sistem menggunakan metode black-box menunjukkan bahwa seluruh fungsi aplikasi berjalan sesuai dengan kebutuhan pengguna.
Implementasi Aplikasi Registrasi Tanda Terima Angsuran Menggunakan Metode Waterfall Pada Pt. Mandiri Utama Finance Cilacap Arif Susilo; Rahman Ali
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v13i3.7308

Abstract

Surat merupakan media komunikasi resmi yang berperan penting dalam aktivitas organisasi, termasuk dalam proses administrasi Registrasi Tanda Terima Angsuran (TTA) di PT. Mandiri Utama Finance Cilacap. Permasalahan yang dihadapi adalah pengelolaan data TTA yang masih dilakukan secara manual menggunakan dokumen kertas, sehingga kurang efektif, rawan kesalahan penulisan, dan memperlambat kinerja administrasi. Penelitian ini bertujuan untuk mengimplementasikan aplikasi registrasi TTA berbasis online guna mempermudah proses pencatatan surat TTA masuk dan keluar. Metode pengembangan sistem yang digunakan adalah Waterfall, dengan perancangan sistem menggunakan Unified Modelling Language (UML) yang meliputi use case diagram, activity diagram, class diagram, sequence diagram, dan deployment diagram. Hasil penelitian menunjukkan bahwa aplikasi registrasi TTA berbasis website mampu meningkatkan efisiensi dan ketepatan proses registrasi, meminimalkan kesalahan pencatatan, serta mempermudah pekerjaan bagian administrasi dalam mengelola data TTA secara terkomputerisasi.

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 16 No 2 (2025): September 2025 Vol 16 No 1 (2025): Juni 2025 Vol 15 No 3 (2024): Desember 2024 Vol 15 No 2 (2024): September 2024 Vol 15 No 1 (2024): Maret 2024 Vol 15 No 1 (2024): Juni 2024 Vol 14 No 4 (2023): Desember 2023 Vol 14 No 3 (2023): September 2023 Vol 14 No 2 (2023): Juni 2023 Vol 13 No 4 (2022): Desember 2022 Vol 13 No 3 (2022): September 2022 Vol 13 No 2 (2022): Juni 2022 Vol 13 No 1 (2022): Maret 2022 Vol 12 No 4 (2021): Desember 2021 Vol 12 No 3 (2021): September 2021 Vol 12 No 2 (2021): Juni 2021 Vol 12 No 1 (2021): Maret 2021 Vol 11 No 3 (2020): September 2020 Vol 11 No 2 (2020): Juni 2020 Vol 11 No 1 (2020): Desember 2020 Vol 10 No 4 (2019): Desember 2019 Vol 10 No 3 (2019): September 2019 Vol 10 No 2 (2019): Desember 2019 Vol 10 No 2 (2019): Juni 2019 Vol 10 No 1 (2019): Maret 2019 Vol 9 No 4 (2019): Juni 2019 Vol 9 No 3 (2019): Maret 2019 Vol 9 No 2 (2018): Volume 9 Nomor 2 Desember 2018 Vol 9 No 2 (2018): Desember 2018 Vol 9 No 1 (2018): September 2018 Vol 8 No 2 (2018): Maret 2018 Vol 8 No 1 (2018): Maret 2018 Vol 8 No 4 (2017): Desember 2017 Vol 8 No 3 (2017): September 2017 Vol 8 No 2 (2017): Juni 2017 Vol 8 No 1 (2017): Maret 2017 Vol 7 No 2 (2016): September 2016 Vol 7 No 1 (2016): Maret 2016 More Issue