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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Prosiding SNATIF InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Syntax Literate: Jurnal Ilmiah Indonesia Jurnal SOLMA Indonesian Journal of Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL MANAJEMEN INFORMATIKA (JUMIKA) Jurnal DISPROTEK Jurnal Nasional Komputasi dan Teknologi Informasi JUTEKIN (Jurnal Manajemen Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal SITECH : Sistem Informasi dan Teknologi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi dan Multimedia JATI (Jurnal Mahasiswa Teknik Informatika) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Abdi Insani E-Link: Jurnal Teknik Elektro dan Informatika JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Algoritma, Logika dan Komputasi Indonesian Journal of Technology, Informatics and Science (IJTIS) WASIS : Jurnal Ilmiah Pendidikan Jurnal Pendidikan dan Teknologi Indonesia Jurnal Dialektika Informatika (Detika) Journal La Multiapp JAST Muria Jurnal Layanan Masyarakat Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Pengabdian Pada Masyarakat Nusantara Journal of Computers and its Applications SmartComp Science Information System and Technology INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Bina Informatika dan Komputer (BINER)
Evanita Evanita, Evanita
Univeristas Muria Kudus
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Designing a Website-Based Internet Billing System with WhatsApp Payment Notifications Zulfannisa, Izzatul Husna; Wijayanti, Esti; Evanita, Evanita
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 2 (2026): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.117555

Abstract

PT Muria Global Network, penyedia layanan internet, masih menggunakan sistem penagihan manual, yang memperlambat proses penagihan, pencatatan transaksi, dan penyampaian informasi pembayaran, meningkatkan risiko kesalahan, dan mempersulit rekapitulasi laporan keuangan. Studi ini bertujuan untuk merancang dan membangun sistem penagihan layanan internet berbasis web yang terintegrasi dengan WhatsApp sebagai media pemberitahuan pembayaran. Metode yang digunakan meliputi analisis kebutuhan, desain sistem, implementasi, dan pengujian fungsional. Sistem yang dikembangkan menyediakan fitur manajemen data pelanggan, penagihan otomatis, pencatatan status pembayaran, pelaporan keuangan terpusat, dan penyampaian pemberitahuan melalui WhatsApp Web dengan pesan yang terformat. Hasil menunjukkan bahwa sistem mampu mempercepat proses administrasi, meningkatkan akurasi pencatatan, dan menyederhanakan penyampaian informasi kepada pelanggan. Integrasi pemberitahuan membantu meningkatkan ketepatan waktu pembayaran dan efisiensi kerja administrasi. Dengan demikian, sistem yang diusulkan dapat menjadi solusi efektif untuk meningkatkan kualitas manajemen penagihan pada penyedia layanan internet.
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; Aditya Akbar Riadi
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.
PENGEMBANGAN APLIKASI BERBASIS WEBSITE UNTUK PENDAFTARAN SANTRI BARU DI PONPES ANAK BERKEBUTUHAN KHUSUS: STUDI KASUS PONPES Al-ACHSANIYYAH Sri Lestari; Aditya Akbar Riadi; Evanita Evanita
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7083

Abstract

Aplikasi Pendaftaran Santri Baru Ponpes Anak Berkebutuhan Khusus Al-Achsaniyyah dirancang untuk memudahkan proses pendaftaran daring bagi santri baru. Calon santri dapat mendaftar menggunakan aplikasi ini kapan saja dan dari lokasi manapun, sehingga tidak perlu mengunjungi pesantren secara fisik. Fitur-fitur yang disertakan dalam aplikasi ini meliputi pengisian formulir, pengunggahan berkas yang diperlukan, dan pemberitahuan otomatis kepada calon santri mengenai status pendaftaran mereka. Aplikasi ini dibuat menggunakan desain web responsif, yang memungkinkannya untuk diakses dengan mudah di berbagai platform, termasuk komputer dan smartphone. Proses pendaftaran bagi calon santri dan orang tua menjadi lebih mudah dengan desain antarmuka yang sederhana dan ramah pengguna. Program ini juga terintegrasi dengan sistem basis data, yang memfasilitasi pengelolaan data santri yang lebih tertata dan efektif, serta memudahkan pesantren dalam memantau dan menangani setiap pendaftaran. Studi kasus yang dilakukan di Ponpes tersebut menunjukkan bahwa penggunaan aplikasi ini secara signifikan meningkatkan ketepatan dan kesesuaian dalam proses pendaftaran. Kesalahan yang sering ditemui dalam pendaftaran manual telah diminimalkan, dan waktu yang dibutuhkan untuk memproses pendaftaran santri baru berkurang secara drastis. Secara keseluruhan, aplikasi ini diharapkan menjadi sarana yang sukses untuk memperbarui prosedur administrasi pesantren.
PENERAPAN METODE ROLE-BASED ACCESS CONTROL PADA APLIKASI CUTI ONLINE DI YAYASAN AL-ACHSANIYYAH UNTUK STAF BERBASIS WEBSITE Ulayya Salmaa Khoirunnisaa; Aditya Akbar Riadi; Evanita Evanita
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7084

Abstract

Penerapan teknologi dalam pengelolaan cuti staf merupakan langkah untuk meningkatkan keefektifan administrasi cuti di Yayasan Al-Achsaniyyah. Permasalahan yang dihadapi meliputi proses pengelolaan cuti yang masih manual, rentan terhadap kesalahan, kurangnya transparansi, dan kurang optimal dalam arsip cuti. Penelitian ini bertujuan untuk membuat aplikasi cuti online berbasis website yang menerapkan metode Role-Based Access Control (RBAC) untuk mengatur akses pengguna berdasarkan peran, seperti pimpinan, kepala bagian, dan staf. Pengembangan aplikasi ini meggunakan Framework Laravel 11 dan metode pengembangan sistem model Waterfall. Metode Role-Based Access Control (RBAC) diterapkan melalui middleware untuk memastikan pengelolaan akses yang terstruktur dan sesuai dengan peran masing-masing pengguna. Pengujian sistem dilakukan menggunakan beberaapa pengujian seperti Black Box testing, User Acceptance Testing (UAT), pengujian performa, dan pengujian kompatibilitas. Hasil penelitian ini menunjukkan solusi bahwa aplikasi cuti online di Yayasan Al-Achsaniyyah berbasis website dapat mempercepat proses pengelolaan cuti termasuk meningkatkan transparansi, dan mengurangi kesalahan dalam administrasi cuti. Metode Role-Based Access Control (RBAC) yang diterapkan berhasil memberikan pegaturan akses yang terstruktur. Serta, berdasarkan hasil pengujian User Acceptance Testing (UAT) yang menghasilkan rata-rata 87% dan System Usability Scale (SUS) menghasilkan rata-rata 80% yang menunjukkan bahwa apalikasi ini dapat membantu dan menjadi solusi yang baik untuk pengelolaan cuti di yayasan menjadi lebih efektif.
Innovative Hybrid CNN Approach for Leaf Disease Detection in Rice Plants Evanita; Maria Angela Kartawidjaja; Dandy Wibowo; Rizal Ramli; Dwi Nining Lestari
Indonesian Journal of Information Systems Vol. 9 No. 1 (2026): August 2026
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v9i1.14665

Abstract

Rice production in Indonesia faces persistent threats from foliar diseases that reduce yield and grain quality. Manual inspection remains impractical for smallholder farmers managing large cultivation areas. This study proposes a hybrid deep learning framework combining DenseNet-169 and ResNet-50 architectures for classifying six rice leaf conditions: Bacterial Blight, Blast, Brown Spot, Health, Hispa, and Leaf Smut. The model was trained on 609 images and validated on 152 images. The proposed architecture achieved 94.08% validation accuracy with a macro-averaged F1-score of 0.93. Class-wise analysis revealed perfect precision and recall for Health and Hispa classes, while Brown Spot presented the greatest classification challenge with 75% recall. Comparative analysis with recent literature demonstrates that the hybrid approach achieves competitive performance while maintaining moderate computational requirements suitable for eventual edge deployment. The confusion matrix reveals specific misclassification patterns between Brown Spot and Leaf Smut, indicating directions for future dataset expansion and architectural refinement.
Aplikasi Pengolahan Citra Digital Menentukan Bobot Sapi Dengan Metode Titik Berat Berbasis Android Vicki Yuda Mahendra; Aditya Akbar Riadi; E Evanita
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 7, No 1 (2022): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v7i1.419

Abstract

Cattle is a consumption animal that is in great demand by Indonesians, its soft meat and delicious taste make beef one of the most expensive meats at the moment, cattle breeders are now starting to modernize and continue to develop their farms to make it easier to maintain and sell cattle, in this modern era there are many things that are facilitated by technology that makes it easier for people to do things, one of which is calculating the weight of a cow with an android application by entering an image of a cow that will be processed and will produce a value for the size and weight of the cow. The weight of the cow can be calculated using the Schoorl formula and the Modified/ Lambourne formula which requires variables of body length and chest circumference for calculation. To get bodyweight, it is necessary to measure chest circumference and body length which are measured manually. However, the reality in the field shows that to get the values for chest circumference and body length, manual measurements need to be carried out, and this is not easy to do because cows are difficult to condition. In the field itself, there is no practical and accurate tool to calculate chest circumference, body length, and weight of cows. Starting from this problem, gave rise to the idea of making a tool that can measure accurately and easily.
Sistem Pendukung Keputusan Pemilihan Tanaman Hias Hoya Carnosa Berbasis Android Menggunakan Metode TOPSIS Fera Anggraini Fistiana; E Evanita; Aditya Akbar Riadi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 2 (2021): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i2.352

Abstract

Along with the rapid development of the times, the number of consumers who need ornamental plants provides good prospects for the future of the ornamental plant business, especially for ornamental plant farmers. Ornamental plants are not limited to ornamental plants that live in pots, but also include cut flowers, cacti, bonsai, hoya carnosa hydroponic plants and tabor flowers. This study aims to develop a Decision Support System (DSS) for the selection of hoya carnosa ornamental plants. The criteria for selecting hoya carnosa ornamental plants are to have a beautiful basic shape, come from long-lived plants, easy-to-form stems and branches, attractive and curvy skin surface, small leaves and quite dense, the condition of the plant is old enough and the plant is strong to form. The system was built using the Android programming language and applied the TOPSIS method to determine the hoya carnosa ornamental plants.
Klasifikasi Kelayakan Beras Menggunakan Metode Laplacian of Gaussian Khabib Abdullah; Aditya Akbar Riadi; E Evanita
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 2 (2021): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i2.353

Abstract

Rice is a staple food for some Indonesians, but lately there is a lot of rice that is not fit for consumption/not worth selling, but is still being traded in the market by irresponsible people. With the development of technology that is growing rapidly, it is directly proportional to the development of information systems. The problem here is that the rice we consume, the quality is determined by the price, even though the price does not necessarily guarantee the quality of the rice. From these problems, a system is made that can classify rice. This research takes a picture of rice setra ramos and then the image is processed by the image, according to the size of the border and the color that has been determined. That is 0.7 cm the size of good rice and clean white or yellow-brown in color. The result of image processing is in the form of rice classification, namely good rice, medium rice, and bad rice. In thos study, using the Python programming language and the opencv library as image processing. With this system, it is hoped that it can help people choose rice that is suitable for consumtion.
Co-Authors Aditya Akbar Riadi Agus Najmuddin Akbar Putra, Dwyan Apriliyanti, Nurul Falah Arief Susanto Aulia Umi Hanifah Bakhar, Muhamad Bakhar, Muhamad bakhar Bellachintya Reira Christata Christian Yoga Megatama Dafiq Elok Noor Hannas Dandy Wibowo Darsilowati Darsilowati Diana Ermawati Durrun Nada Amarylis Dwi Nining Lestari Dwyan Akbar Putra Edi Noersasongko Esti Wijayanti Esti, Esti Farich Al Azami Fera Anggraini Fistiana Fivin Bagus Septiya Pambudi, Fivin Bagus Septiya Gabriel Dwiki Ari Permadani Gunawan, Bagus Suseto Hanik Hidayati Hanun Dhiya Reswara, Rasyida Imam Syafaat Intan Noviyanti Joko Minardi, Joko Khabib Abdullah Khoirul Anam, Raikhan Khoirun Nisa', Nining Khusna, Nor Milatul Lovika Ardana Lovika Ardana Riswari Maori, Nadia Annisa Maria Angela Kartawidjaja Maulana Aditya Yusman Maulana Wijayanto Mohammad Dahlan Mohammad Dahlan Muhamad Bakhar Muhamad bakhar Bakhar Muhammad Imam Ghozali Muhammad Malik Hakim, Muhammad Malik Muhammad Ulin Nuha Oktavianus, Yohanes Pramasela, Agustin Meisi Putra Aprilian Prastianing Huda Putri, Lola Aulia Ratih Nindyasari Ricardus Anggi Pramunendar Ridlwan, Muhammad Agus Rizal Ramli Rizal Ramli, Rizal ROFIAH, KHOFIDHOTUR Salsabila, Karima Savitri Wanabuliandari Sekar Dwi Ardianti Septiani, Dwi Shofiana, Arista Sri Lestari Sukmawati, Zesiy Risna Dewi Syukron, Muhammad Habib Tri Listyorini Tutik Khotimah Ulayya Salmaa Khoirunnisaa Ulil Albab Ulil Albab Verdinata, Rendy Antiya Vicki Yuda Mahendra Wahono, Robet Widiyono, Aan Yehezkiel Febri Kurniawan Yudha, Raka Gifaris Anega Yuliana Fitriani Yuliana Fitriani Zulfannisa, Izzatul Husna