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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Sains dan Teknologi Jurnal Buana Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Jurnal Sistem dan Informatika Journal of Information Systems Engineering and Business Intelligence E-Dimas: Jurnal Pengabdian kepada Masyarakat Format : Jurnal Imiah Teknik Informatika JOIV : International Journal on Informatics Visualization Tech-E Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal ULTIMA InfoSys Jurnal ULTIMATICS ComTech: Computer, Mathematics and Engineering Applications Jurnal Teknologi Komputer dan Sistem Informasi bit-Tech eCo-Buss Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) International Journal of Digital Entrepreneurship and Business (IDEB) Algor eCo-Fin Abdi-Dharma SATIN - Sains dan Teknologi Informasi Inovasi Gagasan Abdimas & Kuliah Kerja Nyata RUBINSTEIN JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Aditiya Hermawan
Universitas Buddhi Dharma
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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Smart Product Recommendations in Web E-Commerce: Leveraging Apriori Algorithm for Market Basket Analysis Hendra, Hendra; Hermawan, Aditiya; Edy, Edy
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 3 (2024): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.89075

Abstract

 The world of online commerce is becoming increasingly competitive, and to succeed in this field, it is not enough to showcase products to potential buyers. It is crucial to offer various products and keep product recommendations up-to-date, especially for customers who buy multiple items. To address this challenge, an intelligent system is needed that can automatically generate trending product recommendations based on sales data. In this research, the Market Basket Analysis (MBA) method analyzes consumer transaction data and identifies products often purchased together. The apriori algorithm is applied to generate association rules, and the Lift Ratio parameter is used to evaluate the strength of these rules. This research is implemented on an e-commerce website, and the generated association rules will be applied to provide automatic product recommendations based on recent sales trends. The results show that the automatic product recommendation system developed for the e-commerce website significantly helps users enhance their online shopping experience. Using the Lift Ratio parameter in validating association rules provides strong evidence of the relevance and accuracy of the generated product recommendations, which can increase customer satisfaction and sales potential.
Membongkar Potensi Investasi Tenaga Kerja dan Modal: Bagaimana Mempengaruhi Produktivitas di Sektor UMKM Indonesia? Wicaksono, Baghas Budi; Hermawan, Aditiya; Evien
International Journal of Digital Entrepreneurship and Business Vol 5 No 1 (2024): International Journal of Digital Entrepreneurship and Business (IDEB)
Publisher : Universitas Jakarta Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52238/ideb.v5i1.149

Abstract

This study investigates the impact of labor and capital investments on productivity within the Micro, Small, and Medium Enterprises (MSME) sector in Indonesia, utilizing data from 2016 to 2020. The analysis assesses MSME productivity and the proportion of MSME product exports relative to total exports. The findings reveal that labor and capital investments significantly and positively influence MSME productivity and export ratios. These results suggest that increased labor and capital investments in the MSME sector can enhance its contribution to the national economy. Consequently, policymakers should focus on strategies to boost investment and training in the MSME sector and facilitate access to export markets. This research contributes to the existing literature on MSME economics and economic growth, providing a foundation for further studies on additional factors influencing MSME performance, such as technology and innovation. The insights gained from this study not only guide policymakers but also support inclusive and sustainable economic development in Indonesia. By understanding the dynamics of labor and capital investment in the MSME sector, policymakers can formulate more effective policies to promote growth and resilience in this vital segment of the economy, ultimately fostering broader economic development and prosperity.
Penerapan Algoritma A-Star untuk Pencarian Tempat Kuliner di Kota Tangerang Hermawan, Aditiya; Andrie Suak Tiwa
Jurnal Sistem dan Informatika (JSI) Vol 15 No 2 (2021): Jurnal Sistem dan Informatika (JSI)
Publisher : Direktorat Penelitian,Pengabdian Masyarakat dan HKI - Institut Teknologi dan Bisnis (ITB) STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/jsi.v15i2.335

Abstract

Indonesia dikenal sebagai negara yang memiliki beragam kuliner dari berbagai daerah. Cita rasa yang kuat menjadikan kuliner Indonesia sangat diminati. Kehadiran masakan dari luar negeri menambah daftar kuliner di Indonesia. Kuliner yang beragam tersebut, baik masakan Indonesia maupun luar negeri membuat para pencinta kuliner berlomba untuk dapat memuaskan jiwa kuliner mereka. Kendala yang dihadapi oleh para pencinta kuliner tersebut adalah minimnya akses atau informasi yang mereka terima, seperti jenis makanan apa saja yang disajikan, lokasi yang tidak akurat, ataupun kriteria lainnya. Banyak aplikasi serupa untuk melihat tempat-tempat makanan. Akan tetapi, aplikasi-aplikasi tersebut tidak dapat menunjukkan informasi yang cukup detil, seperti jarak lokasi pengguna dengan lokasi tujuan. Oleh karena itu diperlukan metode pencarian. Metode pencarian dengan menggunakan algoritma A-Star akan membantu mencarikan rute terpendek dalam mencapai lokasi tujuan. Dari hasil pengujian yang dilakukan, aplikasi dapat berjalan tanpa kendala pada wilayah kota Tangerang. Penggunaan layanan Google Maps mempermudah pengguna untuk melihat dan menemukan lokasi tempat kuliner pada peta. Selain itu diperoleh bahwa algoritma A-Star dapat dikembangkan untuk berbagai kasus pencarian jalur dengan parameter-parameter yang kompleks. Terbukti dari hasil kuesioner yang dijawab responden, bahwa persentase persetujuan untuk seluruh pertanyaan yang diberikan adalah 80.85% atau berada pada area Sangat Puas.
Keterampilan Membuat Baner dengan Canva Untuk Guru SMAN 3 Tangerang Sutopo, Prihantoro Syahdu; Wydiastuty Kusuma, Lianny; Suwitno; Hermawan, Aditiya; Suyitno, Amin
Abdi Dharma Vol. 3 No. 2 (2023): Jurnal Abdi Dharma (Jurnal Pengabdian Masyarakat)
Publisher : LP3kM Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/ad.v3i2.2296

Abstract

Dalam era digital, pembuatan konten visual yang menarik memiliki peran penting dalam berbagai bidang. Pengabdian kepada Masyarakat ini membahas pelatihan pembuatan banner dengan Canva untuk para guru di SMAN 3 Tangerang. Pelatihan ini memiliki beragam materi yang mencakup langkah-langkah pembuatan banner mulai dari pemilihan template, penyesuaian layout, penambahan elemen visual, penyusunan teks, hingga penambahan gambar yang relevan. Dalam dunia pendidikan, pelatihan ini memiliki dampak positif yang signifikan. Para guru yang berpartisipasi dalam pelatihan ini dapat memperluas wawasan mereka tentang cara menciptakan konten visual yang efektif dalam mendukung pembelajaran dan komunikasi dengan siswa. Mereka juga dapat memahami bahwa dengan adanya alat seperti Canva, proses desain grafis telah menjadi lebih mudah dan lebih interaktif daripada sebelumnya. Hasil dari pelatihan ini bukan hanya peningkatan keterampilan teknis dalam menggunakan Canva, tetapi juga mencakup pengembangan kemampuan kreatifitas peserta dalam merancang banner yang sesuai dengan kebutuhan mereka. Dengan demikian, pelatihan ini menciptakan kesempatan berharga bagi para guru untuk memperkaya metode pengajaran mereka dengan elemen visual yang menarik. Sebagai hasil akhir dari pelatihan ini, peserta menghasilkan desain-desain banner yang mencerminkan penerapan keterampilan yang mereka pelajari selama pelatihan. Dengan adanya pengabdian kepada masyarakat semacam ini, kita dapat melihat bagaimana pendidikan dan pelatihan yang berfokus pada pengembangan keterampilan praktis dapat memberikan manfaat nyata kepada para peserta dan komunitas mereka. Semoga pelatihan ini menjadi landasan untuk terus mendorong inovasi dan kemajuan dalam pendidikan dan pengembangan keterampilan di masa depan.
Aplikasi E-voting Berbasis Blockchain Dengan Metode Smart Contract Junaedi, Junaedi; Fernando, Albert; Hermawan, Aditiya
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 2 (2024): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i2.10825

Abstract

Voting merupakan sebuah proses penting dalam banyak konteks, seperti dalam keputusan organisasi dan pemilihan pemimpin. Dengan berkembangnya teknologi, muncullah konsep electronic voting, di mana manusia dapat memberikan suaranya secara elektronik. Electronic voting telah menjadi alternatif penting dalam pengambilan keputusan organisasi dan pemilihan pemimpin, namun sering kali menghadapi tantangan terkait keamanan dan kecurangan. Dalam penelitian ini, sebuah aplikasi electronic voting berbasis blockchain telah dikembangkan menggunakan metode Smart Contract. Teknologi blockchain dipilih karena sifatnya yang terdesentralisasi dan publik, yang dapat memberikan tingkat keamanan dan transparansi yang tinggi terhadap data voting. Evaluasi terhadap aplikasi dilakukan melalui kuesioner yang diisi oleh 39 responden. Hasilnya menunjukkan tingkat persetujuan yang tinggi, dengan 91,46% responden menyatakan sangat setuju dengan efektivitas aplikasi ini. Hal ini menandakan bahwa penerapan sistem electronic voting berbasis blockchain memiliki potensi untuk meningkatkan kepercayaan dan integritas dalam proses pemilihan. Selain itu, aplikasi ini juga menawarkan kemudahan akses dan transparansi data, yang diharapkan dapat meningkatkan partisipasi masyarakat dalam proses demokratis. Dengan terus melakukan penelitian dan pengembangan lebih lanjut, aplikasi electronic voting berbasis blockchain ini memiliki potensi besar untuk menjadi standar dalam pemilihan masa depan.
Aplikasi E-voting Berbasis Blockchain dengan Metode Smart Contract Junaedi, Junaedi; Fernando, Albert; Hermawan, Aditiya
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

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

Abstract

Voting is an important process in many contexts, such as in organizational decisions and the selection of leaders. With the development of technology, the concept of electronic voting emerged, where humans can cast their votes electronically. Electronic voting has become an important alternative in organizational decision making and leader selection, but often faces challenges related to security and fraud. In this study, a blockchain-based electronic voting application has been developed using the Smart Contract method. Blockchain technology was chosen because of its decentralized and public nature, which can provide a high level of security and transparency to voting data. Evaluation of the application was carried out through a questionnaire filled out by 39 respondents. The results showed a high level of agreement, with 91.46% of respondents stating that they strongly agreed with the effectiveness of this application. This indicates that the implementation of a blockchain-based electronic voting system has the potential to increase trust and integrity in the election process. In addition, this application also offers easy access and data transparency, which is expected to increase public participation in the democratic process. By continuing to conduct further research and development, this blockchain-based electronic voting application has great potential to become the standard in future elections.
Peningkatan Keterampilan Desain Grafis Siswa SMK melalui Pelatihan Berbasis Proyek Menggunakan Platform Canva: Pendekatan Pengabdian kepada Masyarakat Junaedi; Rossi Kurniawan Maranto, Ardiane Rossi; Hermawan, Aditiya; Halim Wijaya, Ardie
Abdi Dharma Vol. 5 No. 1 (2025): Jurnal Abdi Dharma (Jurnal Pengabdian Masyarakat)
Publisher : LP3kM Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/ad.v5i1.3641

Abstract

Desain grafis merupakan keterampilan yang sangat penting bagi siswa Sekolah Menengah Kejuruan (SMK) untuk menghadapi tantangan dunia kerja di era digital. Namun, banyak siswa SMK menghadapi kendala dalam mengakses perangkat lunak profesional seperti Adobe Photoshop karena biaya lisensi yang tinggi dan terbatasnya sumber daya teknologi. Selain itu, rendahnya pemahaman terhadap konsep desain visual seperti tata letak, tipografi, dan pemilihan warna juga menjadi permasalahan utama dalam menghasilkan karya desain yang efektif dan profesional. Penelitian ini menawarkan solusi inovatif melalui pelatihan desain grafis menggunakan platform Canva, sebuah aplikasi desain grafis berbasis web yang praktis, ekonomis, dan mudah diakses. Pelatihan ini dirancang menggunakan pendekatan pembelajaran berbasis proyek nyata, dengan tujuan utama meningkatkan keterampilan desain grafis siswa secara signifikan. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan pengabdian kepada masyarakat (community-based research), melibatkan 30 siswa dari jurusan Multimedia dan Pemasaran Digital SMK Penerus Bangsa yang dipilih melalui teknik purposive sampling. Pengumpulan data dilakukan melalui observasi, wawancara semi-terstruktur, Pre-Test dan Post-Test, serta evaluasi portofolio siswa dengan pendekatan analisis tematik. Hasil penelitian menunjukkan peningkatan keterampilan siswa secara signifikan dari skor rata-rata 45% menjadi 85%, terutama pada aspek teknis Canva (30% ke 90%) dan kreativitas desain (48% ke 88%). Penelitian ini penting dalam mengintegrasikan Canva secara luas di pendidikan vokasional untuk meningkatkan kesiapan siswa menghadapi industri kreatif digital masa depan.
Optimizing Convolutional Neural Networks with Particle Swarm Optimization for Enhanced Hoax News Detection Hermawan, Aditiya; Lunardi, Lidya; Kurnia, Yusuf; Daniawan, Benny; Junaedi
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 1 (2025): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.1.53-64

Abstract

Background: The global spreading of hoax news is causing significant challenges, by misleading the public and undermining public trust in media and institutions. This issue is worsened by the rapid spreading of misinformation which is facilitated by digital platforms, triggering social unrest and threatening national security. To overcome this problem, reliable and robust method is essential to adapt to the evolving tactics of misleading information spreading. Objective: This study aimed to improve the accuracy of hoax news detection tools by evaluating the effectiveness of Deep Learning methods enhanced with Convolutional Neural Networks (CNNs) using Particle Swarm Optimization (PSO). Methods: The dataset was processed by tokenization, stopword removal, and stemming. CNNs were trained with default parameters, due to their potential as one of the effective methods for text classification. Furthermore, PSO was used to optimize the main parameters such as filters, kernel sizes, and learning rate, which was refined iteratively based on validation accuracy. Results: The optimized CNNs+PSO was further tested by data training to show its effectiveness in detecting hoax news and misleading articles. The result showed that the optimized CNNs+PSO model had high effectiveness, by achieving accuracy rate of 92.06%, precision 91.6%, and recall 96.19%. These values validated the model’s ability to classify hoax news in Indonesian accurately. Conclusion: This study showed that the optimized CNNs+PSO method was highly effective in detecting hoax news and misleading articles by achieving impressive accuracy, precision, and recall rate. The integration showed the potential of CNNs+PSO to mitigate the impacts of hoax news, enhance public awareness, and promote people to critically believe the news Keywords: Convolutional Neural Networks, Deep Learning, Hoax, Particle Swarm Optimization, Text Mining
Business Intelligence Dashboard of Food Sales Based on Key Performance Indicator Case Study: Xyz Cinema Aditiya Hermawan; Kevin Ivone Sim
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 3, No 3 (2020): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v3i3.925

Abstract

Business competition is getting tougher along with the development of information technology. Information technology helps businesses to accelerate in everything, for example sales. The growing sales data makes the data more and more every day. This is a problem for companies to be able to manage data and retrieve information quickly and accurately. To support this we need several tools that can help manage data to support ongoing business processes. A Business Intelligence dashboard that uses a Business Intelligence Roadmap and Key Performance Indicator (KPI) can make it possible to analyze data quickly, according to the needs and targets the company wants to achieve. From this research, produce an application that makes it easy for users to analyze and monitor sales activities and can also find out sales trends easily. So that it allows users to set strategies to increase sales.
Designing a Real-Time Fuel Consumption Monitoring Dashboard for Ships Andre Sahulata; Aditiya Hermawan
RUBINSTEIN Vol. 3 No. 2 (2025): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v3i2.3784

Abstract

Fuel usage on ships is a crucial aspect of maritime operations, affecting cost efficiency and sustainability. A calculation carried out by the operational team is required in order to obtain information about the ship's fuel usage. However, the method of calculating fuel usage that is still manual by sounding is still prone to calculation errors and inefficient. Therefore, a system is needed that can assist the operational team in calculating and obtaining fuel usage data quickly and efficiently. This research aims to design a dashboard monitoring system that can monitor ship fuel usage in real-time. Real-time monitoring is important for quick identification of inefficiencies, ensuring safety, and supporting timely decision making. This system can assist the operational team in obtaining data and information on fuel usage more quickly and accurately. The methodology used in this research includes analyzing system requirements, designing system architecture, and implementing dashboard monitoring software. The result of this research is a dashboard system that is able to provide real-time information about fuel usage, making it easier for the operational team to monitor and make decisions. With this system, the efficiency of fuel usage can be increased and the pros of fuel usage can be improved.
Co-Authors A Damiyati Abidin Abidin Adith Aulia Rahman Agus Setiawan Alvin Rahayu Amin Suyitno Andre Sahulata Andri Wijaya Andrie Suak Tiwa Anton Halim Anwan Chailes Aprilyanti, Rina Ardiane Rossi Kurniawan Maranto Ardie Halim Arvin Lawistra Benny Daniawan Berlian, Pio Putra Budi Susilo Ceng Giap, Yo Culadi, Rafael Daniel Daniawan, Benny Dera Susilawati Deviastati Putri Sugiarta Karlim edy Edy Edy Edy Edy Edy Edy Edy Ellysha Dwiyanthi Kusuma Eva Eva Evan - Evien Fadeli Muhammad Habibie Fernando, Albert Gustayo, Teven Halim Wijaya, Ardie Hargiani, Fransisca Xaveria Hartana Wijaya Henry Henry Indrawan Intan Anjali Putri Jelvin Putra Halawa Jessen Laorenza Suwandi Joese Nathaniel Johan Santoso Jowensen, Indrico JUNAEDI Junaedi Junaedi Junaedi Kevin Ivone Sim Kevin Kevin Khanti Kusuma Dewi Kumala, Sonya Ayu Kurniawan Maranto, Ardiane Rossi Leonardo Lianata Lianny Wydiastuty Lianny Wydiastuty Kusuma Lidya Lunardi Luis Alpianto Lunardi, Lidya Mampow, Vanessa Keysa Immanuela Maranto, Ardiane Rossi Kurniawan Margaretha Natalya Mariana Purnamasari Mesakh Septiadi Simijaya michael vernannes marpaung Nandivadhano, Revatta Manggala Nathaniel Felix Fraderic Nathaniel, Joese Nazzua Azzahra Niki Destiandi Oscar Hasan Putra Philip Kristy Wijaya Qurrohman, Taufik Raditya Rimbawan O Raditya Rimbawan Oprasto Ramadhani, Tyas Ayu Rheza Vincentius Riki Riki Riki RIKI RIKI, RIKI Rino Rossi Kurniawan Maranto, Ardiane Rossi Salman Alfarisi Samuel Rhesa Santa Margita Sevtian Ferdian Shofa, Ghina Zahira Siska Damayanti Stanley Ananda Sutopo, Prihantoro Syahdu Suwitno Tia Nurapriyanti Wicaksono, Baghas Budi Willy Wijaya, Willy Wiyono Wydiastuty Kusuma, Lianny Yan Everhard Riwurohi Yance Gusnadi Yanti, Lia Dama Yo Ceng Giap Yo Ceng Giap Yuliastati Putri Sugiarta Karlim Yunia Oktari Yusuf Kurnia Yusuf Kurnia, Yusuf