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All Journal Publikasi Pendidikan Jurnal Simetris Prosiding SNATIF Jurnal Teknologi Jurnal Transformatika Scientific Journal of Informatics InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Upgris JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL MANAJEMEN INFORMATIKA (JUMIKA) J I M P - Jurnal Informatika Merdeka Pasuruan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Komputasi dan Teknologi Informasi IKRA-ITH ABDIMAS JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi dan Multimedia Jurnal Ekonomi Manajemen Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Digit : Digital of Information Technology RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pendidikan dan Teknologi Indonesia Jurnal Dialektika Informatika (Detika) Journal La Multiapp JAST Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Ilmiah Nusantara Journal of Blockchain, Nfts and Metaverse Technology INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Bina Informatika dan Komputer (BINER) Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Aditya Akbar Riadi
Universitas Muria Kudus
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Neuroscience Social Sciences Transportation

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Klasifikasi Wayang Kulit Kurawa Menggunakan Algoritma CNN Khoirun Nisa', Nining; Evanita, Evanita; Riadi, Aditya Akbar
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 6 (2025): JPTI - Juni 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.856

Abstract

Wayang kulit, sebagai warisan budaya Indonesia yang diakui oleh UNESCO, menghadapi tantangan pelestarian akibat pergeseran minat generasi muda terhadap hiburan digital. Tokoh Kurawa dalam Mahabharata, yang merupakan tokoh antagonis kunci, sering kali direduksi menjadi tujuh karakter utama dalam pementasan wayang kulit Jawa, seperti Duryudana dan Dursasana. Penelitian ini bertujuan untuk mengklasifikasikan tokoh-tokoh Kurawa menggunakan Convolutional Neural Network (CNN) sebagai upaya mendukung dokumentasi digital. CNN dipilih karena kemampuannya yang terbukti dalam mengekstrak fitur visual, seperti tepian dan tekstur, melalui lapisan konvolusi, pooling, dan fully connected. Dalam eksperimen yang dilakukan, model CNN berhasil mencapai akurasi sebesar 89,50% dengan waktu eksekusi 20,83 detik. Top-3 accuracy mencapai 98%, menunjukkan kemampuan model dalam mengidentifikasi karakter dengan presisi tinggi. Hasil evaluasi menggunakan classification report menunjukkan nilai precision, recall, dan f1-score yang sangat baik untuk sebagian besar kelas, dengan nilai rata-rata makro sebesar 89,41%. Hasil ini membuktikan efektivitas CNN sebagai alat yang dapat digunakan untuk preservasi digital tokoh wayang kulit. Pendekatan ini memungkinkan nilai filosofis wayang kulit untuk diakses secara interaktif oleh generasi muda, sekaligus mempertahankan relevansi budaya tradisional di era digital. Dengan demikian, teknologi deep learning dapat menjadi solusi dalam pelestarian warisan budaya, khususnya wayang kulit, untuk mengatasi ancaman kepunahan akibat globalisasi.
Eksplorasi Digital Marketing untuk Pengembangan Pasar Rumput Laut Latoh di Desa Sekuro Jepara Riadi, Aditya Akbar; Saputra, Andre Tri; Putra, Indra Lina; Hidayati, Hanik
IKRA-ITH ABDIMAS Vol. 9 No. 2 (2025): Jurnal IKRAITH-ABDIMAS Vol 9 No 2 Juli 2025
Publisher : Universitas Persada Indonesia YAI

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

Abstract

Pengabdian masyarakat ini bertujuan untuk meningkatkan potensi pasar rumput laut latoh di Desa Sekuro, Jepara, melalui penerapan strategi digital marketing. Kegiatan ini melibatkan pelatihan kepada kelompok masyarakat setempat tentang penggunaan media sosial, pembuatan konten digital, dan optimalisasi platform e-commerce untuk memasarkan produk rumput laut latoh. Metode yang digunakan mencakup pelatihan langsung, pendampin- gan, dan evaluasi hasil pemasaran. Hasil kegiatan menunjukkan peningkatan pengetahuan masyarakat tentang digital marketing sebesar 75% dan peningkatan penjualan produk sebesar 30% dalam tiga bulan pasca-pelatihan. Kegiatan ini diharapkan dapat menjadi model pengembangan ekonomi berbasis digital untuk komoditas lokal lainnya.
KLASIFIKASI TINGKAT KEMATANGAN PARIJOTO BERDASARKAN KARAKTERISTIK WARNA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR Syirojuddin, Ahmad Idris; Riadi, Aditya Akbar; Susanto, Arief
Jurnal Digit : Digital of Information Technology Vol 15, No 1 (2025)
Publisher : Universitas Catur Insan Cendekia (CIC) Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51920/jd.v15i1.419

Abstract

Klasifikasi tingkat kematangan buah parijoto secara manual masih memiliki keterbatasan, ditandai dengan tingkat akurasi yang rendah dan ketidakkonsistenan hasil, yang pada akhirnya berdampak pada menurunnya kualitas panen. Dalam perkembangan teknologi saat ini, pengolahan citra machine learning seperti K-Nearest Neigbhor (KNN) dapat dijadikan sebagai metode dalam melakukan klasifikasi tingkat kematangan buah. Algoritma KNN mempunyai akurasi yang cukup baik dan model algoritmanya sederhana karena bekerja berdasarkan jarak nilai terdekat dari data training ke data testing. Pada sistem klasifikasi juga memanfaatkan fitur warna citra RGB dan HSV dalam mengkategorikan tingkat kematangan buah parijoto. Dalam proses klasifikasi, tingkat kematangan parijoto akan dibagi ke dalam tiga kategori yang berbeda, yaitu parijoto mentah, setengah matang, dan matang. Dataset yang diambil dalam penelitian ini berjumlah 25 data parijoto mentah, 25 data parijoto setengah matang, dan 25 parijoto matang. Setiap gambar diambil dari berbagai sudut dengan jumlah 4 gambar jadi data perkategori kelas sebanyak 100 data set dan total keseluruhan ada 300 gambar parijoto. Penelitian ini menghasilkan sebuah sistem klasifikasi berbasis web yang diimplementasikan menggunakan framework Flask Python. Evaluasi performa algoritma dilakukan melalui confusion matrix dan menghasilkan akurasi sebesar 82%. Penelitian ini berpotensi menjadi dasar untuk pengembangan teknologi klasifikasi tingkat kematangan buah yang lebih optimal di masa mendatang. Kata kunci: : KNN, Parijoto, HSV, Klasifikasi.
Implementation of Web-Based Furniture Store Management Information System Dwimaelani, Riska; Riadi, Aditya Akbar; Susanto, Arief
Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i3.2229

Abstract

In the era of increasingly rapid digitalization, the need for efficient and integrated business management is becoming increasingly important. Companies that are able to manage data systematically and in real-time have a competitive advantage in facing market competition. Alma Jati Mebel Pati, as a business actor in the furniture industry sector, faces challenges in the operational management process, such as manual transaction recording, non-centralized stock management, and difficulties in making fast and accurate sales reports. This study aims to develop and implement a web-based furniture store management information system to improve the efficiency and effectiveness of the company's operations. This system is built using the Waterfall method which consists of several stages, namely needs analysis, system design, implementation, and testing. The technologies used include PHP as a programming language, MySQL as a database management system, Laravel as a backend development framework, and Bootstrap for a responsive and user-friendly interface. This system is equipped with main features such as recording sales and purchase transactions, product stock management, and financial report generation. Testing was carried out using the Black Box Testing method to ensure that the system's functionality runs according to user needs. The test results show that all features function properly without significant errors. In addition, the usability test conducted on users resulted in a satisfaction rate of 85%, indicating that the system is easy to use and helpful in daily work processes. With this system, Alma Jati Mebel is expected to optimize business management more effectively, efficiently, and integrated.
Website-Based Management and Financial Information System using Prototyping Method at GITJ Puncel Church Yehezkiel Febri Kurniawan; Aditya Akbar Riadi; Evanita
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/p9rvkh62

Abstract

This study aims to design and implement a web-based information system to manage ministry and financial activities at GITJ Puncel Church, focusing on improving data accuracy, reporting transparency, and operational efficiency. The system was developed using the Prototyping method with an iterative approach, while data were collected through observations, structured interviews with church administrators, and document analysis. The system was built using PHP with the Laravel framework and MySQL database, and tested using the Black Box Testing method. This research addresses gaps in previous studies that did not effectively integrate ministry management features with financial administration, nor evaluate the quantitative impact on operational efficiency. The results show that the system successfully reduced financial recording time from 3–4 hours to 30 minutes (an 87.5% efficiency improvement), decreased recording errors from 15% to 2% (an 86.7% reduction in error rate), and enhanced reporting transparency through an automatic PDF export feature. Testing confirmed that all system functionalities operated 100% according to specifications. The study's limitations include its scope being limited to a single church with 150 congregants, a three-month implementation period, and no evaluation of long-term impacts on congregation participation. Overall, this research contributes a model for integrating ministry and financial systems for small to mid-sized religious organizations, and offers a framework for evaluating the effectiveness of web-based information systems in non-profit contexts.
Implementation of Convolutional Neural Network Algorithm in Recyclable Waste Recognition to Support Environmental Management Yuliana Fitriani; Evanita, Evanita; Akbar Riadi, Aditya
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/drcjhg64

Abstract

Waste remains one of the unresolved environmental problems, primarily due to ineffective waste management in sorting and recycling processes. Many individuals are unaware of or do not have the time to identify recyclable types of waste. This study aims to develop a web-based system capable of automatically classifying waste types to support raising public awareness of the importance of recycling. The method used is a CNN with a total of 1,800 images divided into six classes: glass, paper, metal, plastic, organic, and residual. The dataset is split into 1,296 images for training, 144 for validation, and 360 for testing. Unlike previous studies that classified only two to three types of waste or were not web-based, this system combines classification of six categories with an interactive web interface that can be directly used by the public. The results show that the developed model achieved an accuracy of 90%, with the best performance in classifying organic waste. However, the model still has limitations such as sensitivity to variations in lighting, varying image capture angles, and visual similarities among certain waste types that can affect classification accuracy. These findings indicate that the proposed system has the potential to help the community manage waste more effectively and sustainably.
Implementasi Algoritma Reinforcement Learning dalam Pengelolaan Energi untuk Sistem Smart Grid Khusna, Nor Milatul; Evanita, Evanita; Riadi, Aditya Akbar
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 4 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i4.8690

Abstract

Pengelolaan energi pada sistem smart grid merupakan tantangan penting dalam mendukung efisiensi dan keberlanjutan energi, khususnya pada skala rumah tangga. Penelitian ini mengusulkan implementasi algoritma Proximal Policy Optimization (PPO) berbasis Deep Reinforcement Learning (DRL) untuk mengoptimalkan efisiensi penggunaan energi melalui strategi load shifting. Lingkungan simulasi dibangun untuk merepresentasikan konsumsi energi rumah tangga dalam skenario waktu nyata, di mana agen PPO dilatih untuk mengalihkan beban penggunaan listrik ke waktu dengan tarif lebih rendah atau beban sistem yang lebih ringan. Pengujian dilakukan terhadap tiga skema reward dengan dua mode pelatihan, yaitu cepat dan maksimal. Hasil terbaik diperoleh pada kombinasi reward ketiga dengan mode pelatihan maksimal, menghasilkan rata-rata reward sebesar 41690,53 dan efisiensi biaya hingga 95,83% dibandingkan dengan data konsumsi asli. Temuan ini membuktikan bahwa PPO merupakan pendekatan yang efektif dalam pengelolaan energi pada smart grid skala rumah tangga, khususnya dalam mendukung strategi pengalihan beban yang adaptif dan hemat biaya.
Decision Support System In Selecting Teak Wood Raw Materials For Furniture Production At Lestari Jati Sukmawati, Zesiy Risna Dewi; Evanita, Evanita; Riadi, Aditya Akbar
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2370

Abstract

The furniture industry that uses teak wood as the main raw material faces various challenges in maintaining the quality of materials and the efficiency of the production process. Teak wood is known to have advantages such as high resistance to weather and insects, good structural strength, and distinctive and elegant grain beauty. However, the quality of teak wood varies greatly depending on environmental factors, tree age, and processing process. These variations can affect the final result of furniture products, so it is important for companies to choose the right raw materials. This study aims to develop a Decision Support System (DSS) specifically designed to help Lestari Jati company in determining teak wood raw materials consistently and objectively. This DSS considers several main criteria, such as age, fiber, color, volume. The Simple Additive Weighting (SAW) method is used to give priority weight to each criterion and determine the best alternative from the available raw materials. With this system, the company is expected to be able to obtain accurate recommendations, accelerate the decision-making process, and significantly improve product quality and production efficiency, so that it can increase competitiveness in the teak wood furniture market.
Web-Based Population Data Information System at Suwaduk Village Office to Improve Service Efficiency Pegianti, Nanda`; Riadi, Aditya Akbar; Susanto, Arief
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2407

Abstract

The rapid development of information technology has encouraged government agencies, including village offices, to utilize digital systems to improve the effectiveness of data management. At the village level, population data management is still largely done manually or using Microsoft Excel files, which have various limitations in terms of search speed, data security, and information integration. This study aims to design and build a Web-Based Population Data Collection Information System to assist village governments in recording, processing, and presenting population data more effectively and efficiently. This system was developed using the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. The implementation results show that this system is able to overcome various previous problems, increasing efficiency, accuracy, and transparency in population data management. Features such as Excel data import with automatic validation, population data and family card management, data conversion history, and automatic generation of certificates, work as expected. Thus, this system has a positive impact on administrative services and data-based decision-making in Suwaduk Village.
Public Complaints Information System in Government to Improve Website-Based Public Services Shofiana, Arista; Riadi, Aditya Akbar; Evanita, Evanita
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2419

Abstract

Optimal public service is one indicator of the success of village government in responding to community needs. However, in Lahar Village, the public complaint process is still carried out manually, such as verbally or by hand, so it is prone to data loss, slow in handling, and less transparent. This condition indicates the need for a system that is able to digitize the complaint process to be more effective and efficient. This study aims to design and build a website-based public complaint information system to improve the quality of public services in the Lahar Village government environment. The methodology used includes direct observation, interviews with village officials, and literature studies as the basis for system design. System development is carried out using the PHP programming language and MySQL database. The expected results of this study are the creation of a computerized complaint information system that is easily accessible to the public, and supports the process of recording, handling, and monitoring complaints in a more transparent and structured manner. With this system, it is hoped that public services in Lahar Village can be significantly improved, both in terms of time efficiency and data accuracy.
Co-Authors A, Ifta Abdul Ahmad Abdul Chamid Ahmad Abdul Chamid Ahmad Lutfi Hakim Ainul Farichah Akh Sokhibi Alif Catur Murti Alvin Rainaldy Hakim Aminatus Syarifah Andre Tri Saputra Arief Susanto Azami, Farich Al Christian Yoga Megatama Darsilowati Darsilowati Dicky Prasetiyo Durrun Nada Amarylis Dwimaelani, Riska Dwyan Akbar Putra Esti Wijayanti Esti, Esti Evanita Evanita Evanita, Evanita Evanita, E Fadhilah, Norma Farich Al Azami fatmarini, dini Fera Anggraini Fistiana Gabriel Dwiki Ari Permadani Gunawan, Bagus Suseto Hanik Hidayati Herlambang Dwi Prasetyo Ifta Abdul A Indra Lina Putra Intan Nabila Hilma Ivan Bagus Prasetiyo Jannah, Zuliana Nurul Khabib Abdullah Khilmawan, Muhammad Rizqi Khoirun Nisa', Nining Khusna, Nor Milatul marta, amelia vidora revita Maulana Aditya Yusman Muhammad Imam Ghozali Murniawati, Mita Ningrum, Diah Ayu Cahya Oktavianus, Yohanes Pegianti, Nanda` Prasetiyo, Dicky Prasetyo, Herlambang Dwi Putra Aprilian Prastianing Huda Putra, Indralina Lina Qatrhunnada Abiyu Akhdan Ratih Nindyasari Rizal Ramli, Rizal Rizkysari Meimaharani Rizkysari Meimaharani Rosvika Dwi Umanisti Salsabila, Karima Salsabilah, Nisrina Rona Sari, Fadia Karlika Savira Riasti Shofa Allaisya Shofiana, Arista Sokhibi, Akh Sokhibi, Akh Sri Lestari Sugiarto, Elmalia Risma Putri Sukmawati, Zesiy Risna Dewi Syirojuddin, Ahmad Idris Syukron, Muhammad Habib Tri Listyorini Ulayya Salmaa Khoirunnisaa UMAM, MUHAMAD KHOTIBUL Vera Meirotun Hidayatika Vicki Yuda Mahendra Wibowo Harry Sugiharto Wulandari, Gilang Ayu Yehezkiel Febri Kurniawan Yehezkiel Febri Kurniawan Yudha, Raka Gifaris Anega Yuliana Fitriani Yuliana Fitriani Zuliana Nurul Jannah