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All Journal Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) Informatics for Educators and Professional : Journal of Informatics Network Engineering Research Operation [NERO] KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal ICT : Information Communication & Technology Jurnal Sistem Informasi Kaputama (JSIK) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Informatika dan Rekayasa Perangkat Lunak JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknik Informatika (JUTIF) Jurnal Mahasiswa Sistem Informasi (JMSI) International Journal of Social Science Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Janitra Informatika dan Sistem Informasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Manajemen Kreatif Jurnal JURSIMA Jurnal Ekonomi Manajemen Akuntansi BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat NERO (Networking Engineering Research Operation) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen INTERNAL (Information System Journal)
Yudhistira Arie Wijaya
STMIK IKMI Cirebon
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Sistem Informasi Akuntansi Penjualan Bahan Pokok Berbasis Web Pada Housemart Cirebon Alya Fadia; Yudhistira Arie Wijaya
Jurnal Ekonomi Manajemen Akuntansi Vol. 29 No. 1 (2023): JURNAL EKONOMI MANAJEMEN AKUNTANSI
Publisher : sekolah Tinggi Ilmu Ekonomi Dharma Putra Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.04 KB) | DOI: 10.59725/ema.v29i1.65

Abstract

Housemart Cirebon is a trading company engaged in staple goods located on Jalan Cideng Indah, Cirebon Regency - West Java. Cirebon Housemart provides basic ingredients from national brands ranging from household needs, baby products, to body and beauty care products. At present the business activities carried out are somewhat less effective. Sales, promotions and orders are still done manually, this is less effective because there is no detailed information on what products are being sold to buyers. . Recording and checking of transaction data, customer data, goods data, is still done manually in written document archives, data loss is still very likely to occur. The development method used to design the system uses the prototype method. The results of this research are in the form of a web-based Housemart Cirebon Sales Information System that is capable of performing sales, ordering and data processing services at Cirebon Housemart so that it can increase the effectiveness and efficiency of performance and time. The hope is to be able to provide complete information regarding the ordering process, services and promotions so that it is even better at Housemart Cirebon.
ALGORITMA K-MEAN UNTUK OPTIMALISASI MODEL CLUSTERING DATA PENJUALAN TOKO ONLINE DI TIKTOK SHOP DALAM STRATEGI PEMASARAN Falih, Alfi Rizqi Falih; Kurniawan, Rudi; Arie Wijaya, Yudhistira; Anwar, Saeful
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 9 No. 1 (2025): Volume 9, Nomor 1, Januari 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v9i1.929

Abstract

Penggunaan TikTokShop sebagai platform e-commerce berkembang pesat, memberikan peluang bagi pelaku usaha untuk menganalisis data penjualan dan memahami perilaku konsumen. Penelitian ini bertujuan mengoptimalkan model clustering dengan algoritma K-Means untuk mengelompokkan data penjualan TikTokShop dan mengidentifikasi segmen konsumen yang serupa, serta menentukan jumlah cluster optimal menggunakan Davies Bouldin Index. Metode KDD digunakan, dengan langkah-langkah pemilihan data, preprocessing, dan penerapan K-Means clustering dengan Euclidean distance. Hasil eksperimen menunjukkan jumlah cluster optimal adalah 15, dengan Davies Bouldin Index 0,001. Cluster_2 teridentifikasi sebagai yang terbaik, dengan perbedaan signifikan antara rata-rata jarak cluster keseluruhan dan cluster_2 sebesar 4129547026402010000. Karakteristik tiap cluster menunjukkan preferensi pelanggan berdasarkan produk, diskon, dan rata-rata jumlah item per pesanan antara 1 hingga 1,5 item. Temuan ini memberikan wawasan untuk pengembangan strategi pemasaran yang lebih tepat sasaran.
Perancangan Sistem Informasi Penjualan Thrifting Dikalangan Milenial Berbasis Web Laela Laela; Yudhistira Arie Wijaya
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Vol. 1 No. 4 (2023): Oktober : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/wawasan.v1i4.1224

Abstract

In the world of thrft shops, I isan activity of marketing used goods online or offline, most of these seles are related to the marketing of used goods. The rampant marketing of used goods is one of which is the 1994Squad sales platform. Based on the observations that have been made related to the marketing used on the 1994Squad platform, currently marketing is still carried out directly by conducting bazaar event activities of promoting products online through the Instagram platform, so that it is considered imperfect so hat the used goods marketing mechanism does not apply. Meanwhile, marketing sold through the Instagram platform can result in losses, fraud, over-consumption because users are tempted to buy goods just because the goods offered are cheapher. In addition, problems with marketing using a platform that includes income recapitulation for each purchase that is used are still manual which triggers several errors regarding the sum of income. Due to the occurrence of many problems with thrifting 1994Squad sales, a thrifting sales information system was created. The method used to create this website is in the form of a data collection which includes the interview method and sales system design, while the software development method uses the DSDM approach to the agile method which goes through several stages. In using this method, the steps that must be considered are analizing the problems that occur in 19994Squad sales, the next step is to carry out a needs analysis in marketing make a information system design, then implement or develop software testing. For programming laguages using PHP, Codeigniter, Javascript, and CSS. Using XAMPP as the database. This reseasing has several objectives including increasing efficiency in the sales process, making transctions easier, responsible website users making it easier to get the produt they want at a very friendly price and accessible in various media. The results of this information system designcan change the marketing of used gooda through the Instagram platform by faciliting the sales mechanism, searching for well-known brand products, besides that it can prevent errors in shipping goods and errors in data input on thrifting 1994Squad sales.
Association Analysis of Printing and Photocopying Sales Data in Adzmi Art Shop Cirebon Uses the FP-Growth Algorithm Suteja; Rudi Kurniawan; Yudhistira Arie Wijaya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.830

Abstract

In the digital era, transaction data analysis plays a crucial role in strategic decision-making, especially for SMEs such as Toko Adzmi Art in Cirebon Regency. This study aims to develop a sales data association model using the FP-Growth algorithm to identify product association patterns. Daily transaction data over a year were collected, processed through data cleaning, standardization, and transformation, and analyzed using RapidMiner software. Minimum support and confidence parameters were applied to evaluate the frequency and strength of product relationships. The results show that the combination of "Photocopy" and "Passport Photo" services has a confidence of 0.491 and a support of 0.061, with "Photocopy" as the most in-demand product (support 0.497). These findings open opportunities for bundling strategies and inventory optimization to enhance operational efficiency. This model provides an empirical foundation for SMEs to leverage data mining technology to improve competitiveness and customer satisfaction.
OPTIMALISASI MODEL KLASIFIKASI MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE PADA CITRA BRAIN TUMOR Darma Irawan, Bobi; Kurniawan, Rudi; Arie Wijaya, Yudhistira
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.13211

Abstract

Analisis citra medis, khususnya pada citra tumor otak, memiliki peran penting dalam membantu proses diagnosis penyakit. Permasalahan utama dalam klasifikasi citra tumor otak adalah bagaimana meningkatkan akurasi dan efisiensi sistem klasifikasi. Penelitian ini bertujuan untuk mengoptimalkan model klasifikasi dengan menggunakan algoritma Support Vector Machine (SVM), yang dikenal andal dalam menangani data non-linear dan berdimensi tinggi. Metode yang digunakan meliputi tahap preprocessing citra, ekstraksi fitur menggunakan metode tertentu, serta pengoptimalan parameter SVM, seperti kernel, nilai regulasi, dan parameter gamma. Dataset berupa citra MRI otak dibagi menjadi data pelatihan dan pengujian untuk mengevaluasi kinerja model. Penelitian ini diharapkan dapat memberikan kontribusi terhadap pengembangan sistem berbasis komputer untuk diagnosis tumor otak secara cepat, akurat, dan efisien. Hasil dari model SVM pada proyek ini menunjukkan bahwa klasifikasi menghasilkan class positif sebesar 0,950 dan class negatif sebesar 0,050. Model ini mencapai akurasi 81%, dengan precision 100% dan recall 80%, menunjukkan bahwa SVM memiliki performa yang baik dalam analisis klasifikasi citra tumor otak.
Peningkatan Kompetensi Siswa SMK Melalui Pelatihan Junior Web Developer Dalam Pengembangan Website Irma Purnamasari, Ade; Arie Wijaya, Yudhistira; Arif Firmansyah, Aditiya; Wangi Nur Qibti, Intan
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 2 : Maret (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

This community service program aims to enhance the competencies of vocational high school (SMK) students in web development through a Junior Web Developer training program. The activities were carried out at several SMKs in Cirebon Regency and Cirebon City as an effort to bridge the gap between school curricula and industry needs. The implementation methods included preparation and planning, training execution, monitoring and evaluation, as well as dissemination of results. The outcomes of this program showed a significant improvement in students' understanding and skills in web development technologies, particularly in the use of HTML, CSS, JavaScript, and modern frameworks. In addition, participating teachers also benefited from workshops designed to enhance their ability to teach industry-based materials. This program successfully produced several outputs such as learning modules, student web projects, and collaborations with industry partners to open up job opportunities for graduates. With this program, it is expected that vocational students will have better competencies to face the workforce and the digital industry. The sustainability of this program can be expanded by increasing industrial partnerships and broadening the scope of training participants.
Peningkatan Kompetensi Digital Lulusan SMK Kabupaten Cirebon Melalui Pelatihan Junior Network Administrator Arie Wijaya, Yudhistira; Tohidi, Edi; Azhar, Alwan; Ardiansyah, Andi
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 4 : Mei (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Junior Network Administrator training for SMK graduates in Cirebon Regency aims to improve skills and competencies in the field of computer networks. The program is designed as a solution to employment challenges by providing competency-based training that refers to industry standards. Training methods include theory, hands-on practice, and case studies relevant to the needs of the world of work. The program evaluation showed an increase in participants' understanding and skills in managing computer networks, configuring network devices, and basic troubleshooting. In addition, participants obtained certifications that can increase their competitiveness in the job market. The training results showed that most of the participants were successful in obtaining jobs or internships in technology companies and related institutions. The success of this program is supported by cooperation between educational institutions, local governments, and the industrial sector. Challenges faced include limited facilities and participants' readiness to deal with rapid technological developments. To improve the effectiveness of the program, it is recommended to improve training facilities, update the curriculum in line with industry developments, and collaborate more closely with the private sector.
Eksplorasi Pola Pembelian Konsumen Di E-Commerce Menggunakan Algoritma FP-Growth Hamonangan, Ryan; Arie Wijaya, Yudhistira
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 2 (2023): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

This study aims to explore consumer purchasing patterns on e-commerce platforms using the FP-Growth (Frequent Pattern Growth) algorithm. With the rise of e-commerce, it is crucial for platform managers to understand existing purchasing patterns in order to design more effective marketing strategies. The FP-Growth algorithm is chosen due to its efficiency in extracting association patterns, especially in large datasets. The data used in this research was obtained from purchase transactions on an e-commerce platform, including the items purchased by consumers over a specific time period. The results of this study reveal frequent purchasing patterns and product associations that can help platform managers design better product recommendations. The FP-Growth algorithm provides valuable insights to enhance consumer shopping experiences and the effectiveness of marketing strategies on e-commerce platforms.
Digitalisasi Administrasi Desa Melalui Pelatihan Pengelolaan Data Berbasis Sistem Informasi Prihartono, Willy; Arie Wijaya, Yudhistira; Hadi Wicaksana, Arya; Amelia, Astri
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Digitalization of village administration is a solution to improve the efficiency and transparency of data management at the village level. This transformation allows village governments to manage information more systematically, reduce administrative errors, and improve services to the community. This research focuses on training on data management based on information systems implemented in villages, to provide village officials with an understanding of the importance of digitization in governance. The method used in this training includes a participatory approach with a combination of theory and hands-on practice in the use of information systems. The results of the training showed that the majority of participants experienced improved understanding and skills in operating digital systems for village administration. The implementation of digitalization also contributed to improving transparency, data accuracy, and accelerating the process of administrative services to village communities. The challenges faced include limited technological infrastructure, resistance to change, and the need for continuous assistance. Therefore, policies that support the development of human resource capacity and investment in information technology infrastructure in villages are needed. Thus, the digitization of village administration can run optimally and sustainably to support technology-based village development.
Digitalisasi Administrasi Desa Melalui Pelatihan Pengelolaan Data Berbasis Sistem Informasi Arie Wijaya, Yudhistira; Suprapti, Tati; Abrar Bayan, Athaullah; Maryam, Beby
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

The rapid development of information technology has encouraged educational institutions and village government institutions to improve the efficiency of administrative services, one of which is in terms of recording attendance. This research aims to develop a QR Code-based attendance system implemented for schools and village institutions as a solution to the manual attendance system that is still vulnerable to fraud and inefficiency. The system development method used is the waterfall method which includes the stages of needs analysis, system design, implementation, testing, and maintenance. This system is designed using PHP programming language and MySQL database, and integrated with QR Code technology that allows users to scan through mobile devices. The test results show that this system is able to record attendance in real-time, generate reports automatically, and improve the accuracy and efficiency of the attendance process. Users also responded positively to the system's simple and easy-to-use interface. With this system, educational institutions and villages can manage attendance data more effectively and transparently. In conclusion, this QR Code-based attendance system is a relevant and applicable innovation in supporting administrative digitization at the local level. This research is expected to be a reference for the development of similar systems in other environments.
Co-Authors Abrar Bayan, Athaullah Ade Irma Purnama Sari Adi Hermawan Adiyanto, Alfian Adjie Setyadj, Mochammad Agni, Vega Putra Dwi Ahmad Faqih AKBAR, MUHAMAD DENI Alfirda Sofyan, Zahra Aliya Anisa Rahma Alya Fadia Amelia, Astri An-naziz Safaat, Wafik Andi Ardiansyah Andriyani, Wini Andriyanti, Rina Anggara, Doni Anjar Permadi Aprianto, Wili Arif Firmansyah, Aditiya ASEP SAEFUDDIN Asmana, Asmana Azhar, Alwan Dadang Sudrajat Danar Dana, Raditya Darma Irawan, Bobi Darussalam, Luthvi Nurfauzi Denni Pratama Dermawan, Hibrizi Dzaky Dian Ade Kurnia Dian Ade Kurnia Edi Tohidi Edi Wahyudin Falih, Alfi Rizqi Falih FANDI ACHMAD Fauzan, Muhamad Nur Fianita Rusadi Fianita Rusadi Firmansyach, Wildan Attariq Hadi Wicaksana, Arya Hamonangan, Ryan Hayati, Umi Hegarmanah Muhabatin Herman Hermawan, Adi Hidayat, Hilpad Hidayat, Zaids Syarif Ibnu Ubaedila Ikhwan Fahruddin, Yusuf Inawati, Windi Irfan Ali Irfan Ali, Irfan Irma Agustina Irma Purnamasari, Ade Jaelani Sidik Jayawarsa, A.A. Ketut Jurnal Konsera Khoeri, Yajid Komala, Wulan Kurniawan , Rudi Kusmiyaty, Agesty Laela Laela Leli Oktaviani Lukmanul Hakim Manzis, Zian Martanto Martanto . Martanto Martanto Maryam, Beby Masjunedi, Masjunedi Maulana, Tedy Mifta Almaripat Mita Amelia Moh Nurdayat Dayat Muhamad Basysyar , Fadhil MUHAMAD DENI AKBAR Muhamad Nur Fauzan Muhammad Aditya Rabbani Adit Nabila, Aynun Nana Suarna Nashir, Mukhtar Nining Rahaningsih Nisa Dieanwati Nuris Nisa Dienwati Nuris Novita Safitri Nur Amalia, Yustika Nurazijah, Wulan Nurdiawa, Odi Nurholipah, Titin Nurrahman, Rizki Odi Nurdiawa Odi Nurdiawan Pebriyanto, Ramdhan Pratama, Denni Prihartono, Willy Rinaldi Dikananda, Arif Rini Astuti Rini Astuti Rini Astuti Riri Narasati Rizal Rizal Rubangiya Rubangiya Rudi Kurniawan Rudi Kurniawan Rudi Kurniawan Saeful Anwar Saeful Anwar, Saeful Satria Turangga Septian Nugraha, Titan Septiani Gumilar, Tia Shifa Dwi Oktaviani Suarna, Nana Sulaeman, Muhammad Suteja Syach Putra, Yanuar Tati Suprapti Taufik Hidayat Tegar Lazuardi, Muhammad Thomas Agam Tiana Dewi Tohidi, Edi Tri Anelia Trian Nurmansyah Triswanto, Triswanto Tuti Hartati Tuti Hartati Tuti Hartati Wahyudi Wahyudi Wangi Nur Qibti, Intan Wartumi Wartumi Willy Prihartono Winayah, Winayah Windy Astuti Yudis Firmansyah yulani, Yulani - Yulia, Yuli