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All Journal Jurnal Informatika dan Teknik Elektro Terapan JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) Syntax Literate: Jurnal Ilmiah Indonesia JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Conference on Innovation and Application of Science and Technology (CIASTECH) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Ilmu Komputer dan Bisnis Systematics Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Buana Ilmu Buana Information Technology and Computer Sciences (BIT and CS) Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) International Journal of Educational Review Journal of Applied Data Sciences Jurnal Cahaya Mandalika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Djtechno: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Minfo Polgan (JMP) Abdimas Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Sistem Informasi STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Innovative: Journal Of Social Science Research Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Ilmiah Pengabdian Kepada Masyarakat (Nyiur-Dimas) Informasi interaktif : jurnal informatika dan teknologi informasi
Priyatna, Bayu
Universitas Buana Perjuangan Karawang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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PELATIHAN PEMANFAATAN TEKNOLOGI INFORMASI UNTUK PEMASARAN UMKM DI KABUPATEN KARAWANG April Lia Hananto; Fitria Nurapriani; Bayu Priyatna; Adittia Agustian; Mohamad Ricky Firdaus
Jurnal Abdimas: Sistem dan Teknologi Informasi Vol. 2 No. 2 (2022): Jurnal Abdimas: Sistem dan Teknologi Informasi
Publisher : LPPM STMIK Rosma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35969/abdimas.v2i2.274

Abstract

Pengabdian Masyarakat dengan Judul: "Workshop Sosialisasi dan E-Commerce" dirancang untuk meningkatkan kualitas hidup warga desa sekitar Sukasari. Tujuan proyek ini adalah untuk (1) menjalin kerjasama yang saling menguntungkan antara civitas akademika dan masyarakat Desa Sukasari. (2) Membuat website perdagangan elektronik untuk mengiklankan keunggulan Desa Sukasari untuk kehidupan warganya yang lebih baik. Acara ini akan dilakukan dengan menggunakan kombinasi metode presentasi (seminar) dan pengalaman langsung (Workshop) sehingga hasil yang diharapkan dari implementasi metode ini dapat segera dipublikasikan di situs e-commerce-nya.
Analisis Sentimen Calon Presiden 2024 Menggunakan Algoritma SVM Pada Media Sosial Twitter Aprilia Putri Nardilasari; April Lia Hananto; Shofa Shofia Hilabi; Tukino Tukino; Bayu Priyatna
JOINTECS (Journal of Information Technology and Computer Science) Vol 8, No 1 (2023)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v8i1.4265

Abstract

Analisis Sentimen banyak digunakan pemangku kepentingan dalam menilai sentimen terhadap suatu objek. Pada penelitan ini objek yang akan diambil yaitu analisis sentimen terhadap tokoh politik calon presiden 2024 yang sedang marak diperbincangkan oleh warganet, khususnya di twitter. Adapun permasalahan yang diangkat yaitu mengenai ukuran kinerja suatu algoritma dalam melakukan klasifikasi sentimen, beberapa algoritma kerap memiliki tingkat akurasi yang rendah. Penelitian ini bertujuan untuk meningkatkan performance measure dari penelitian sebelumnya dengan menggunakan algoritma Naïve Bayes yang memiliki tingkat akurasi cukup rendah, dan pada penelitian ini digunakan algoritma SVM. Penelitian ini mengambil data Twitter yang berhubungan terhadap calon presiden untuk melihat opini masyarakat kepada setiap calon presiden. Data yang diambil yaitu data twitter dengan kata kunci Ganjar, Anies, Prabowo sebanyak 8.959 data yang diambil pada tanggal 17-25 Oktober 2022. Hasil dari pengujian mendapatkan kesimpulan algoritma SVM mempunyai performance measure atau akurasi cukup tinggi dibandingkan dengan algoritma Naïve Bayes pada penelitian sebelumnya hanya sebesar 73, 86% sementara algoritma SVM mendapat nilai rata-rata accuracy mencapai 98,61% yaitu dataset Ganjar Pranowo, lalu precision 98,81%, recall 99,79%. Dan untuk proporsi sentimen menunjukan sentimen positif yang diperoleh Ganjar lebih tinggi daripada calon presiden lainnya yaitu 55%, Prabowo 30% dan Anies 15%, Sementara sentimen negatif Anies lebih tinggi 89% daripada Ganjar 8% dan Prabowo 3%.
Perbandingan Algoritme Klasifikasi Untuk Prediksi Cuaca Amril Mutoi Siregar; Sutan Faisal; Yana Cahyana; Bayu Priyatna
Jurnal Accounting Information System (AIMS) Vol. 3 No. 1 (2020)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v3i1.280

Abstract

Weather conditions is an air condition in a place with a relatively short time, which is expressed by the value of parameters such as temperature, wind speed, pressure, rainfall, which is another atmospheric phenomenon as the main component. Human activities can be influenced by weather conditions, such as transportation, agriculture, plantation, construction or even sports. Therefore, for determining the weather, getting weather information needs to be made so that it can be utilized by the community. Problems that arise how to make weather predictions automatically so that it can be done by everyone. In this study proposed several algorithms Navie Bayes, Decision Tree, Random Forest to calculate the opportunities of one class from each of the existing group attributes and determine which class is the most optimal, meaning that grouping can be done based on the categories that users enter in the application. The prediction system has been made to obtain an accuracy rate of Navie Bayes of 77.22% with a standard deviation of 29%, a Decision Tree accuracy rate of 79.46% with a standard deviation of 15%, a random forest accuracy rate of 82.38% with a standard deviation of 43%.
PENERAPAN METODE USER CENTERED DESIGN (UCD) PADA SISTEM PEMESANAN MENU KULINER NUSANTARA BERBASIS MOBILE ANDROID Bayu Priyatna
Jurnal Accounting Information System (AIMS) Vol. 2 No. 1 (2019)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v2i1.348

Abstract

The use of the Android platform for software / application development is not only easier to use, because Android that has flexibility is a reason. Rendang Daging is a typical food of the city of Padang, besides it tastes savory and has a taste that is very different from other processed foods, which makes the food rendang a favorite of many people around the world. It is unfortunate if only rendang is the favorite processed food menu, while in Indonesia there are still many processed menus that are very tasty and special. Information about the menu of typical Indonesian processed foods will be much better known and desirable when given a place to exchange information about these things in the form of information systems. To get an information system that meets user expectations, special methods are needed. (UCD) is a User-Centered Design method which is a user-oriented method. UCD design is used to provide benefits to support the information system for people from home and abroad so that it will be more attractive for foreign and domestic tourists to visit Indonesia for a vacation or just want to enjoy the typical food of the archipelago. In addition, it can also help the system of selling processed foods typical of the archipelago.
Sistem Preventive Maintenance Berbasis Web dengan Menggunakan Algoritma Priority Scheduling pada PT. Beta Pharmacon Bayu Priyatna; Topan Trianto; Julifer P Manurung; Nono Heryana; Arip Solehudin
INTERNAL (Information System Journal) Vol. 3 No. 2 (2020)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v3i2.294

Abstract

PT. Beta Pharmacon in the actual preparation of Preventive Maintenance (PM) schedules and input of reports or preventive results data still uses Microsoft Excel, and preventive schedules that have been made are sometimes not following the actual because the machine cannot be maintained (the production process has not been completed) so that the schedule has been completed. Determined to change and to confirm whether preventive maintenance can be done every day, still by telephone. Based on the above problems, a web-based Preventive Maintenance System will be created using the priority scheduling algorithm. The web is built using the CodeIgniter framework and database using MySQL. With this system, it can facilitate scheduling of preventive maintenance, data collection of machines and tools in the company, search for data on preventive maintenance results, coordination of the implementation of preventive maintenance, so that it can provide the information needed effectively and efficiently.
The Impact of Implementing Merdeka Belajar Curriculum by Utilizing Digital Media on Changes in Knowledge, Attitudes and Skills of Madrasah Ibtidaiyah Al I'anah Students, Duren Village, Klari District, Karawang Regency Siti Masruroh; Hoerudin Hoerudin; Bayu Priyatna
International Journal of Educational Review Vol. 5 No. 2 (2023): INTERNATIONAL JOURNAL OF EDUCATIONAL REVIEW
Publisher : Unib Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/ijer.v5i2.31286

Abstract

Merdeka Belajar Curriculum is a curriculum of a set of plans and arrangements regarding the objectives, content and learning materials of the methods used as guidelines for organizing learning activities to achieve certain educational goals. The central government establishes a basic framework and curriculum structure which serves as a reference for the development of the operational curriculum for education units. According to the National Standards Agency, Merdeka Belajar is education so that students can choose subjects of interest. This is done so that students can optimize their talents. The purpose of this writing, namely to find out the impact of the implementation of the independent learning curriculum on the attitudes, knowledge and skills of Madrasah Ibtidaiyah Al'Ianah students in Duren Village, Klari Distric. Implementation method with observation and field studies.
Implementation of Digital Invitation Applications in The Era Society 5.0 As a Business Opportunity Micro Small to Medium (MSMEs) Priyatna, Bayu; Tia Hananto, Agus; Huda, Baenil
Buana Information Technology and Computer Sciences (BIT and CS) Vol 5 No 2 (2024): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v5i2.6276

Abstract

Indonesian people have a great opportunity to become MSMEs. One of the MSME players is utilizing digital technology as an innovative product. One of the phenomena slowly transferring to a society or society that was using paper has now changed into digital invitations. Invitations are digital or electronic and can be accessed via a computer, tablet, or smartphone. Digital invitations canbe in images, videos, or text messages created using graphic design or special digital invitation applications. Typically, Digital Invitations include information about the event, such as date, time, place, and theme. Digital Invitations can also be decorated with images, icons, or illustrations related to the event. The advantages of using Digital invitations include a practical and easy-to-disseminate, cost-effective, and more friendly environment that can be accessed anytime. In contrast to conventional invitations, they are susceptible to damage, require additional costs, limit design options, take time to print and ship, and generate waste. Method The research used was descriptive with a qualitative approach through interviews exploring several printed invitation and wedding organizer service providers in Karawang. Research results on digital invitation applications can help MSMEs expand market reach, increase time and cost efficiency, and deliver a more interactive and personalized customer experience.
PREDICTION OF POPULATION GROWTH IN KARAWANG CITY USING MULTIPLE LINEAR REGRESSION ALGORITHM METHOD Desfianthy, Fatiya Hanifah; Hilabi, Shofa Shofiah; Priyatna, Bayu; Novalia, Elfina
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 2 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

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

Abstract

Currently, Indonesia is experiencing population growth. The factors influencing this growth are the rates of births and deaths. Every year, the population in an area keeps growing. This growth can have various negative impacts on the region. That's why taking action and making predictions about population growth is crucial. The objective of this study is to use a regression algorithm to estimate how fast the population will grow in Karawang City. The data used for this research comes from population records collected by the Karawang City Statistics Agency between 2017 and 2022. To clean, transform, and analyze this data, we employ the Knowledge Discovery in Database (KDD) approach to data mining. By applying linear regression methods with assistance from RapidMiner tools, we have successfully generated predictions based on data that reveal patterns and relationships between variables that influence population growth rates. According to our predictions, there will increase of 338,011 people from 2022 to 2027. This research will assist the Karawang City government in developing plans to minimize negative impacts while optimizing resource utilization such as energy, food, water, and services. Keywords: Multiple Linear Regression, Data Mining, BPS, Rapid Miner
Perencanaan Arsitektur Enterprise pada Layanan Telekomunikasi Digital Telkomsel By.U menggunakan Zachman Framework Hananto, April Lia; Guntur, Muhamad; Tukino, Tukino; Priyatna, Bayu
Jurnal Accounting Information System (AIMS) Vol. 7 No. 1 (2024)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v7i1.916

Abstract

One method for developing and managing a business is to apply the Zachman framework to the organization. This approach is also used by companies such as By.U for analysis and organization. The method of determining the use of By.U application company, a service provider, applying the Zachman framework, provides a practical area for businesses to evaluate the best course of action for creating an enterprise architecture related to significant issues with daily operations such as the insecurity of mobile phone numbers if they are written on manual paper at the pulse counter, this causes a large number of sms from unknown numbers. The results showed that the By.U application plays an important role in providing information about the choice of internet data package products. In addition, the implementation of the Zachman framework provides easy access for businesses to recognize benefits and drawbacks that arise based on the details of the services offered and provided by these organizations, making it easier for corporate representatives to make decisions within the organization.
Application of the K-Nearest Neighbor Method to Predict Demand for Goods from Customers at PT Sinergi Prima Enjineering Angraeni, Rahmah Nur; Priyatna, Bayu; Hananto, Agustia; Hilabi, Shofa Shofiah
Bahasa Indonesia Vol 16 No 02 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i02.200

Abstract

PT Sinergi Prima Enjineering, which is engaged in services, has been trusted as a contractor in several companies facing challenges in handling the large number of requests for goods and stock inventory management. This research aims to improve the prediction of demand for goods and inventory management using the calculation of the K-Nearest Neighbor (KNN) method and RapidMiner tools. With the comparison of calculations between KNN and RapidMiner using ten test data, the results are appropriate where the categorical grouping is often ordered totaling five data, moderately ordered totaling two data and rarely ordered totaling three data. The test results show that K = 3 produces a prediction accuracy of 91.98%. These results show that K-Nearest Neighbor can accurately anticipate future stock inventory and items that will be ordered by customers and it is hoped that the company can improve customer satisfaction and overall operational performance.
Co-Authors AA Sudharmawan, AA Aang Alim Murtopo Abdullah Abdullah Adittia Agustian Afra, Alfina Fadhilah Ahnaf, Naufal Zubdi alzahra, alika aziza Angraeni, Rahmah Nur April Lia Hananto Aprilia Putri Nardilasari Arip Solehudin Asep Haris Aulia, Aldi Aviv Yuniar Rahman Baenil Huda Desfianthy, Fatiya Hanifah Diningrat, Cahya Fatlun, Aulia Fitria Nurapriani Florida Ivonia Manek Guntur, Muhamad Haerudin Haerudin Hananto, Agustia Handayani, Citra Heryana, Nono Hilabi, Shofa Shofia Hilabi, Shofa Shofia Hilabi, Shofa Shofiah Hoerudin Hoerudin Huda, Baenil Intan, Melani Ismail, Dennisa Avriel Jabar Sanjaya Julia, Ina Julifer P Manurung Juniardi Kurniawan, Muhamad Dicky Lutfiah, Siti Mohamad Ricky Firdaus Muhammad Nova Novalia, Elfina Nurapriani, Fitria Paryono, Tukino Pradana Rizki Maulana Reswara, Hadaya Abhista Rini Mayasari Sabrina Amanda Salsabila Saepul Aripiyanto Sari, Fitria Ratna Setiawan, Revi Shofa Shofia Hilabi Shofa Shofia Hilabi Shofa Shofiah Hilabi Shofia Hilabi, Shofa Sifa, Sifa Rismawati Siregar, Amril Mutoi Siti Masruroh Siti Masruroh Sutan Faisal Syahri Susanto Tatang Rohana Teresa Abuya Topan Setiawan Topan Trianto Tukino Tukino, Tukino Tukino, Tukino tukino, tukino Wahyu Aziz Ramadhani Yazid, Muhammad Abi Zahra, Nabila Zein, Selmia Aulia Zhalifunas, Satria Dawas