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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Seminar Nasional Informatika (SEMNASIF) Jurnal Informatika Universitas Pamulang Jurnal Pengabdian kepada Masyarakat International Journal of Social Science KLIK: Kajian Ilmiah Informatika dan Komputer Toba: Journal of Tourism, Hospitality, and Destination Jurnal Cakrawala Ilmiah Journal of Innovation Research and Knowledge Journal of International Conference Proceedings Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen Informasi interaktif : jurnal informatika dan teknologi informasi
Edy Prayitno
STMIK AKAKOM Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Sentiment Analysis of Twitter Social Media to Online Transportation in Indonesia Using Naïve Bayes Classifier Dini Fakta Sari; Deborah Kurniawati; Edy Prayitno; Irfangi Irfangi
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.410

Abstract

The application of information technology in transportation services is a positive development felt by the community with the emergence of various online transportation services. On the other hand, nowadays society cannot escape the use of social media in communicating and interacting with other parties. This research was conducted to determine the relationship between the use of social media and the use of online transportation services. The study was conducted using the Naïve Bayes Classifier method to analyze Twitter social media sentiment towards online transportation in Indonesia. The study was conducted by processing 1009 data, consisting of 900 training data and 109 test data. From the results of testing of 109 training data obtained 11% had a positive value, 14% negative value, and the rest, which is 75% neutral value. While the test accuracy test for 109 data resulted in an accuracy of 84%. The results of the study show that most of the use of Twitter social media in Indonesia does not affect the user's decision to utilize online transportation services.
IMPLEMENTASI ALGORITMA APRIORI UNTUK POLA KOMBINASI PEMBELIAN BARANG Edy Prayitno; Dini Fakta Sari
Jurnal Cakrawala Ilmiah Vol. 2 No. 2: Oktober 2022
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jcijurnalcakrawalailmiah.v2i2.3812

Abstract

Persaingan di dunia bisnis menuntut para pengembang untuk menemukan suatu strategi yang dapat mempertahankan loyalitas pelanggannya. Salah satu caranya adalah dengan tetap menjaga persediaan barang. Penelitian ini akan memanfaatkan data transaksi penjualan. Algoritma yang digunakan sebagai proses utama dari analisis keranjang pasar adalah algoritma apriori dengan menggunakan minimum support, minimum confidence dan data transaksi untuk menemukan aturan asosiasi. Pengolahan dilakukan untuk menganalisis pola pembelian konsumen. Diharapkan hasil pola pembelian yang diperoleh dapat digunakan sebagai salah satu pertimbangan dalam menentukan persediaan barang sehingga perusahaan dapat memberikan layanan yang baik untuk konsumen
KEBANGKITAN UMKM PASCA PANDEMI COVID-19 Edy Prayitno; Nerys Lourensius Tarigan; Wahyu Eka Priana Sukmawaty; Uyuunul Mauidzoh
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 4: September 2022
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v2i4.3641

Abstract

Wabah pandemi Covid 19 yang melanda 2 tahun terakhir telah memberikan dampak buruk bagi perkembangan Usaha Mikro Kecil Menengah (UMKM). Menurunnya daya beli masyarakat berdampak langsung kepada penjualan dan keuntungan UMKM yang terus mengalami pengurangan. Lebih dari 88% usaha mikro, kecil dan menengah (UMKM) mengalami penurunan margin keuntungan selama masa pandemic. Kebangkitan UMKM dari keterpurukan akibat pandemic Covid-19 membutuhkan dukungan dari berbagai pihak, baik swasta, perguruan tinggi, dan pasti pemerintah. Dukungan pihak pemerintah melalui dinas terkait melalui pembinaan dan pelatihan sangat dibutuhkan untuk menguatkan kemampuan UMKM dalam menintkatkan kualitas dan kuantitas produksi. Kemudahan akses bantuan dana perbankan juga diperlukan untuk menambah kekuatan UMKM mengoperasikan usahanya. Peran pihak swasta bisa ditingkatkan dengan menjadikan UKMK sebagai mitra usahanya. Melalui Dharma Pengabdian Kepada Masyarakat perguruan tinggi dapat berperan dalam mendukung kebangkitan UMKM melalui berbagai program yang didanai baik oleh internal perguruan tinggi maupun Kemendikbud. Artikel ini membahas kegiatan pengabdian kepada masyarakat skema Program Pengembangan Produk Unggulan Daerah yang dilaksanakan dalam mendampingi UKM Kain Tenun Lurik yang terdampak pandemic Covid-19
Comparison of three common software-defined network controllers Rikie Kartadie; Edy Prayitno
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 12, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v12i2.pp85-91

Abstract

The software-defined network (SDN) controller adds and removes the contents of the flow table through secure channels to determine how packets are processed and how the flow table is managed. The controller pays attention to network intelligence and becomes the middle part, where the network manages the transfer data of the aircraft delivered via the OpenFlow (OF) switch. To this end, the controller provides an interface for managing, controlling, and managing this switch flow table. Run tests to calculate controller throughput and latency levels and test using the cbance tool, which can test transmission control protocol (TCP) and user datagram protocol (UDP) protocols. The tests are run by forcing the controller to run at maximum without any additional settings (default settings) in order to use the correct information about the controller’s capabilities. Because of this need, you need to test the performance of your controller. In this study, the tests were run on three popular controllers. Test results show that flowed controllers are more stable than open network operating dystem (ONOS) and open daylight (ODL) controllers in managing switch and host loads.
Simulasi Pemilihan Partai Politik Menggunakan Simple Additive Weighting Edy Prayitno; Marsono Marsono; Dedi Rahman Habibie; Ita Mariami; Asyahri Hadi Nasyuha
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1416

Abstract

Problems in political party elections involve a number of issues which include corruption and political scandals which can damage public trust, campaign promises which are often not kept, elections which are too personal which obscure more important political issues, high polarization and an imbalance between ruling and opposition parties, election manipulation and election crimes, problems related to campaign financing that can affect the independence and integrity of political parties, limited access to information that can influence voters, lack of diversity representation within political parties, media polarization that makes constructive dialogue difficult , as well as limitations in electoral systems that can affect the representation and responsiveness of political parties. The use of the SAW method can be applied using criteria found in actual conditions so that the party election simulation in this research can be used as an insight into the conditions in political party elections. This provides insight to the wider community on how to choose a good and careful party. This research shows that Political Party A is the best among several other political parties which are used as alternatives with a calculation result of 0.9675 using Simple Additive Weighting
Perancangan Ulang User Interface Sistem Informasi Akademik dengan Metode Design Thinking Edy Prayitno; Prayitno, Edy; Suprawoto, Totok; Perdana, Ivan Jaka
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 22 No 2 (2024): Mei 2024
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v22i2.132

Abstract

Sistem informasi akademik memainkan peran penting dalam mendukung aktivitas pendidikan di perguruan tinggi. Namun, banyak sistem yang ada saat ini menghadapi masalah antarmuka pengguna (user interface) yang tidak intuitif, yang menyebabkan kesulitan navigasi dan ketidakpuasan pengguna. Penelitian ini bertujuan untuk merancang ulang antarmuka pengguna sistem informasi akademik menggunakan metode Design Thinking, yang berfokus pada pendekatan berpusat pada pengguna.Proses penelitian melibatkan lima tahap utama: empati, definisi, ideasi, prototipe, dan pengujian. Tahap empati dilakukan dengan mengumpulkan data dari 150 pengguna sistem untuk memahami kebutuhan dan permasalahan mereka. Selanjutnya, permasalahan didefinisikan dan solusi inovatif dihasilkan melalui sesi brainstorming pada tahap ideasi. Prototipe antarmuka baru kemudian dikembangkan dan diuji oleh pengguna untuk mendapatkan umpan balik. Hasil penelitian menunjukkan peningkatan signifikan dalam kepuasan dan efisiensi pengguna. Desain baru berhasil meningkatkan kemudahan navigasi, estetika, dan kinerja sistem. Dengan rata-rata kepuasan pengguna meningkat sebesar 50%, penelitian ini membuktikan bahwa Design Thinking adalah pendekatan yang efektif untuk menciptakan solusi desain antarmuka yang lebih baik dan relevan. Temuan ini memberikan panduan praktis bagi institusi pendidikan dalam meningkatkan sistem informasi akademik mereka.
OPTIMALISASI PROFITABILITAS RITEL MELALUI SEGMENTASI PELANGGAN DENGAN K-MEANS CLUSTERING Edy Prayitno; Perdana, Ivan Jaka; Iskandar, Edi; Heri Winarno, Basuki; Subagyo, Aloysius Agus
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 9 No 3 (2024): JII Volume 9, Number 3, September 2024
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jii.v9i3.107

Abstract

Perusahaan menghadapi tantangan besar dalam industri ritel yang sangat kompetitif untuk memahami perilaku pelanggan dan mengoptimalkan profitabilitas. Salah satu masalah utama adalah ketidakmampuan untuk mengelompokkan pelanggan menurut karakteristik yang relevan. Ketidakmampuan ini menyebabkan strategi pemasaran yang tidak tepat sasaran dan alokasi sumber daya yang tidak efektif. Untuk segmentasi pelanggan, penelitian ini menawarkan solusi dengan menggunakan metode data mining, khususnya metode K-Means Clustering. Dengan menggunakan metode ini, penelitian bertujuan untuk menemukan berbagai segmen pelanggan berdasarkan perilaku pembelian, frekuensi transaksi, dan kontribusi mereka terhadap pendapatan bisnis. Pelanggan dibagi menjadi beberapa segmen berdasarkan data transaksi historis. Kemudian, setiap segmen dianalisis untuk menunjukkan pola pembelian dan nilai ekonomi yang dibawa oleh masing-masing segmen kepada perusahaan. Hasil penelitian menunjukkan bahwa clustering K-Means membantu perusahaan mengatur alokasi sumber daya dan strategi pemasaran lebih tepat sasaran, meningkatkan profitabilitas secara keseluruhan. Hasil ini menunjukkan bahwa segmentasi pelanggan yang berbasis data sangat penting untuk pengambilan keputusan strategis di industri ritel. Perusahaan ritel dapat meningkatkan kinerja finansial mereka dengan menyasar segmen yang paling menguntungkan melalui penerapan hasil penelitian ini.
Optimization of Classical Cryptography Security: An Experimental Study on Affine and Vigenere Algorithms in Modern Computing Environments Edy Prayitno; Winarno, Basuki Heri; Lestari, Ani
Jurnal Informatika Universitas Pamulang Vol 10 No 1 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v10i1.44216

Abstract

Data security in modern computing, particularly in IoT and edge environments, demanded lightweight cryptographic solutions due to resource constraints. Classical cryptographic algorithms, such as the Affine Cipher and Vigenere Cipher, were attractive for their simplicity and low computational overhead but suffer from vulnerabilities to modern attacks, including brute force and frequency analysis. This study aimed to optimize these algorithms by increasing key length and applying polyalphabetic variations, enhancing their resilience to attacks while maintaining efficiency. Experimental resulted demonstrate significant improvements in resistance to decryption attempts, with optimized algorithms proving highly resilient even under constrained environments. Despite minor increased in computational resources, the algorithms remain efficient and practical for IoT applications. These findings underscored the potential of optimized classical cryptography as a secure yet resource-efficient alternative for modern computing systems, bridging the gap between robust security and operational feasibility. Future research could explore hybrid algorithms combining classical and modern techniques.
Optimalisasi Media Sosial untuk Pemasaran Wellness Tourism Berbasis Komunitas Lokal Nerys Lourensius L. Tarigan; Edy Prayitno; Ferhadius Endi; Sugiman, Sugiman; Sri Setyowati
TOBA: Journal of Tourism, Hospitality, and Destination Vol. 4 No. 2 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/toba.v4i2.6161

Abstract

Wellness tourism based on local communities in Yogyakarta has significant potential for development through social media marketing, but it is often hindered by limited digital skills and resources. This study aims to analyze the effectiveness of social media in promoting wellness tourism by local communities and to formulate optimal strategies to enhance destination visibility. Using a qualitative approach, this study analyzes content from 10 Instagram and TikTok accounts managed by local communities in Yogyakarta (Sleman, Bantul, and Yogyakarta city) over the period of November 2024–April 2025, complemented by interviews with five account managers. The results show that interactive content (6.5%) and visual content (5.2%) generate higher engagement rates compared to narrative content (3.8%). Peak engagement occurred in December 2024 and April 2025, coinciding with holiday periods. Effective strategies include regular posting, collaboration with local influencers, and highlighting local culture such as jamu therapy. The main challenges are limited editing skills and promotional budgets. This study recommends increasing interactive content, producing high-quality visuals, and providing digital skills training to support the economic sustainability of local communities through wellness tourism.
Co-Authors Al Amin Ali Imron Aloysius Agus Subagyo Ani Lestari Asyahri Hadi Nasyuha Beny Fajar Riyanto Budhi Dharmawan Deborah Kurniawati Dedi Rahman Habibie Dini Fakta Sari Dini Fakta Sari Edi Iskandar, Edi Edy Prayitno Ferhadius Endi Heru Agus Triyanto Irfangi Irfangi Iskandar, Edi Ita Mariami Marsono Marsono Muhammad Abdullah Alhusni Nerys Lourensius L. Tarigan Nerys Lourensius L. Tarigan Nerys Lourensius Tarigan Nerys Lourensius Tarigan Perdana, Ivan Jaka Rikie Kartadie Said Teguh Samudra Septian Narsa Putra Sri Setyowati Sugiman Sugiman Totok Suprawoto Totok Suprawoto Uyuunul Mauidzoh Uyuunul Mauidzoh Wahyu Eka Priana Sukmawaty Winarno, Basuki Heri