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All Journal Jupiter Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Jurnal Informatika Upgris Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal SOLMA Jurnal DISPROTEK Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Sekolah Dasar JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal SITECH : Sistem Informasi dan Teknologi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics Jurnal Ekonomi Manajemen Sistem Informasi bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Abdi: Media Pengabdian Kepada Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bakti Cendana: Jurnal Pengabdian Masyarakat Journal of Community Service and Empowerment Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Indonesian Journal of Technology, Informatics and Science (IJTIS) DEVICE Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Dialektika Informatika (Detika) Bulletin of Computer Science Research Jurnal Info Sains : Informatika dan Sains INOVTEK Polbeng - Seri Informatika
Esti Wijayanti
Universitas Muria Kudus
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture 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 Library & Information Science Mechanical Engineering Nursing Social Sciences Other

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Perancangan Sistem Inventory Dan Kasir Berbasis Web untuk Optimalisasi Operasional Toko Material DR. Jaya Muhammad Fahrizal Amim; Ahmad Jazuli; Esti Wijayanti
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 6 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Juli - Agustus 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i6.5505

Abstract

Penelitian ini bertujuan untuk mempermudah dalam menambahkan stok barang, penjualan, juga untuk membantu menghitung jumlah harga yang sudah dibeli konsumen, dan mendukung laporan secara real-time. Sistem informasi ini menyediakan informasi untuk menangani penjualan produk dan stok yang dihasilkan toko. Pada modul inventory, sistem menerima input data barang seperti kategori barang, nama barang, harga, dan jumlah stok. Pada modul kasir, sistem menerima input berupa data transaksi penjualan, tanggal transaksi dan data invoice hari ini, mingguan dan bulanan penjualan toko. Sistem infomasi Inventory dan penjualan atau kasir berbasis web menyediakan kemudahan bagi toko dalam pelayanan penjualan secara terus menerus. Penelitian ini dikembangkan berbasis web menggunakan frarme work Laravel dengan database MySQL dan dijalankan secara lokal menggunakan XAMPP. Media web juga bisa menjadi media informasi toko untuk mencapai tujuan yang toko inginkan. Pengembangan yang digunakan ialah metode Waterfall, perancangan menggunakan UML, dan diimplementasikan melalui Laravel dan database MySQL. Hasil dari implementasi sistem ini adalah tersedianya data barang yang terstruktur, laporan stok dan penjualan secara otomatis, juga pengurangan stok secara real-time. Sistem ini meningkatkan akurasi pencatatan dan proses transaksi penjualan di Toko Material DR. Jaya.
Rancang Bangun Sistem Informasi Manajemen Stok dan Penjualan Berbasis Website pada Toko Vanila Aksesoris Yuda Ardiansyah Pratama; Ahmad Jazuli; Esti Wijayanti
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 6 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Juli - Agustus 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i6.5517

Abstract

Dalam era digital saat ini, efisiensi pengelolaan data sangat penting bagi kelangsungan dan perkembangan usaha, khususnya dalam hal pengelolaan stok barang dan penjualan. Skripsi ini membahas perancangan serta penggunaan sistem informasi manajemen stok barang dan sistem penjualan online sistem ini dibangun menggunakan framework Laravel. Input utama yang diterima sistem meliputi data produk seperti nama, kode, kategori, harga, dan stok awal. Data transaksi penjualan yang mencakup nama produk, jumlah, harga, dan total pembayaran. Data penggerak stok baik barang masuk maupun keluar, serta data pengguna sistem dengan tingkat akses yang berbeda. Dengan mangsud untuk membantu pelaku usaha kecil hingga menengah dalam mencatat dan memantau data barang, transaksi penjualan, serta laporan keuangan secara real-time dan terpusat. Metodologi perancangan sistem ini menggunakan metode pengembangan waterfall, Sistem ini di bangun menggunakan Laravel dan mySQL, serta dirancang dengan antarmuka web yang ramah pengguna. Tahap awal meliputi identifikasi kebutuhan serta tahap desain sistem, pelaksanaan, hingga uji coba. Fitur utama dalam sistem meliputi manajemen data produk, pencatatan proses jual beli, pengelolaan persediaan barang secara otomatis, yang pembuatan hasi pencatatan penjualan serta laporan stok. Hasil pengujian memperlihatkan bahwa sistem mampu berjalan di sesuai dengan keinginan pengguna dan meningkatkan efisiensi dalam pengelolaan operasional harian. Dengan menggunakan platfrom berbasis web, sistem ini dirancang agar dapat diakses setiap saat dan di lokasi mana pun selama tersambung dengan internet, sehingga memberikan kemudahan dan fleksibilitas bagi pengguna. Diharapkan sistem ini mampu menjadi langkah penyelesaian yang mudah diterpkan dan bermanfaat dalam mendukung proses bisnis yang lebih terorganisir dan berbasis teknologi. Hasil dari sitem menunjukan bahwa aplikasi dapat mengelola data stok dan penjualan secara otomatis dan real time, menyajikan laporan yang akurat, serta mempermudah pemilik usaha dalam memantau aktivitas penjualan dan ketersediaan barang. Seluruh fitur sistem berhasil di uji dengan baik menggunakan metode blackbox.
Rancang Bangun Sistem E-Commerce Pada Penjualan Bibit dan Peralatan Hidroponik Pada Toko Hidroponik Kudus Nailal Huda; Ratih Nindyasari; Esti Wijayanti
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 6 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Juli - Agustus 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i6.5742

Abstract

Perkembangan teknologi digital memainkan peran penting dalam mendorong efisiensi serta meningkatkan daya saing di berbagai sektor usaha, termasuk dalam bidang pertanian modern seperti hidroponik. Toko Ganesha Hidroponik Kudus, yang fokus pada penjualan bibit dan perlengkapan hidroponik, hingga kini masih mengandalkan metode penjualan konvensional yang dianggap belum optimal dalam hal jangkauan pasar dan efisiensi operasional. Penelitian ini bertujuan untuk merancang serta membangun sistem e-commerce berbasis web guna mendukung proses penjualan secara daring. Teknik pengumpulan data dilakukan melalui observasi langsung di lapangan, wawancara dengan pemilik usaha, serta studi literatur yang relevan. Sistem dirancang menggunakan metode Waterfall, yang terdiri dari tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Diharapkan sistem yang dikembangkan mampu meningkatkan efisiensi transaksi dan memperluas cakupan pemasaran secara lebih maksimal.
Sistem Informasi Sidang Seminar Proposal dan Skripsi Berbasis Web dengan Pendekatan Metode Waterfall Muhammad Farid Arshal Afandi; Ahmad Jazuli; Esti Wijayanti
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7575

Abstract

The scheduling of proposal seminars and thesis defenses is a crucial process completely of student studies in the informatics engineering study program. However, this process often faces several challenges, such as delayed information, manual data accumulation, and a lack of transparency in schedule and examiner selection. To address these issues, the Laravel framework was chosen for the design of this web-based system, aiming to simplify the administration and scheduling processes for proposal seminars and thesis defenses. Laravel was selected due to its support for structured, secure, and efficient system development. This web-based system utilizes PHP and SQL for database management. The development methodology used is Waterfall, which adopts a sequential and systematic approach, starting from the requirement, design, implementation, verification, and maintenance stages. Each stage is done in a structured manner to ensure that all needs have been met before moving on to the next stage. System implementation using the Laravel framework as the backend foundation with responsive interface design. The case study was conducted at the Informatics Engineering Study Program of Universitas Muria Kudus. The results of testing indicate that the system improves data processing efficiency, accelerates information delivery, and minimizes errors in the registration and scheduling processes. With implementation of this system, academic procedures are expected to become more orderly, transparent, and well-structured. The test results show that the system is able to improve efficiency, as well as reduce administrative errors in the registration and scheduling process. All users are already interrelated in this registration process, starting from students, lecturers, coordinators, operators.
Implementation of Web-Based Inventory System With Email Notifications for Stock Efficiency and Project Management at CV Bonanza Naufal Meidhana Kenmahdy; Ahmad Jazuli; Esti Wijayanti
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/nggzee18

Abstract

Material inventory management at CV Bonanza is still conducted manually, leading to report delays and data inaccuracies. This research aims to design a web-based inventory information system to address these problems. This study employs the Waterfall model for the system development life cycle (SDLC). The requirements analysis phase (as the requirements baseline) was conducted qualitatively from February to April 2025 through structured interviews with 4 stakeholders (owner, admin, foreman, and project executor) and workflow observation (analysis of 50 transactions). The system was implemented using PHP Native and MySQL, with an innovation focus on stock-project management integration, event-driven email notifications (PHPMailer), and a project-check transparency feature. System testing used the Black Box Testing method, covering 55 test scenarios (encompassing 100% of functional requirements). Initial testing found 2 defects (a 3.6% failure rate), which were subsequently fixed, resulting in 100% of scenarios being declared "Valid" upon re-testing. The main outcome of this research is a system prototype that is functionally valid. Claims of "efficiency" and "accuracy" are limited to design targets, as this study was restricted to functional testing and did not include non-functional testing (such as performance, usability/SUS, or security) or quantitative post-implementation impact evaluation.
Pengembangan Sistem Pengelolaan Sampah Berbasis Cloud Computing SAAS untuk Optimalisasi Pengelolaan Lingkungan Berkelanjutan Muhammad Arifin; Eko Darmnato; Esti Wijayanti; Heru Sabputro
Jurnal SITECH : Sistem Informasi dan Teknologi Vol. 8 No. 1 (2025): JURNAL SITECH VOLUME 8 NO 1 TAHUN 2025
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sitech.v8i1.15502

Abstract

Waste management problems continue to increase along with population growth and urbanization, which have negative impacts on the environment and public health. Waste management is a major challenge in creating a sustainable environment. Digital-based technologies, such as Cloud Computing with a Multi-tenant SaaS (Software as a Service) model, offer solutions to overcome challenges in waste management efficiently and integrated. This technology enables real-time waste management with higher efficiency, and can be accessed by various parties, including the government, managers and the community. This study aims to develop a digital-based waste management system that utilizes Cloud Computing SaaS Multi-tenant technology for the waste management process. The research method used is the Agile-based system development method, where the research stages include needs analysis, system design, implementation, and evaluation. The results of this study include increased operational efficiency of waste management, cost savings, and increased community participation in waste management programs through an easily accessible digital platform. In addition, this research also supports sustainable development (SDGs), particularly in efforts to maintain environmental sustainability.
PERANCANGAN SISTEM PEMESANAN MANDIRI BERBASIS WEBSITE PADA CAFFE MLATEA UNTUK OPTIMALISASI LAYANAN Fika Kamalul Wafi; Esti Wijayanti; Ahmad Abdul Chamid
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.v10i4.7241

Abstract

Penelitian ini didasarkan pada pesatnya perkembangan industri kuliner serta berbagai tantangan dalam pelayanan yang dihadapi oleh Caffe Mlatea Kudus, seperti antrean panjang, kesalahan pencatatan pesanan, dan keterbatasan dalam melayani lonjakan pelanggan. Untuk mengatasi permasalahan tersebut, dikembangkan sistem pemesanan mandiri berbasis website dengan akses melalui QR Code yang mengintegrasikan fitur pemesanan dan pembayaran digital. Pengembangan sistem menggunakan metode waterfall dengan tahapan analisis kebutuhan, perancangan sistem menggunakan use case diagram dan class diagram, implementasi, serta pengujian. Hasil pengujian black box testing menunjukkan seluruh fungsionalitas sistem berjalan sesuai spesifikasi, sementara pengujian System Usability Scale (SUS) menghasilkan skor 74.2 yang menunjukkan sistem berada pada kategori acceptable dengan grade C dan tingkat Good. Implementasi sistem berhasil mengoptimalkan proses pelayanan dengan menyederhanakan pemesanan, mengurangi kesalahan pencatatan, serta meningkatkan efisiensi operasional melalui integrasi pembayaran digital dan fitur analisis data pelanggan untuk pengambilan keputusan strategis.
INDOLAW: Sistem Klasifikasi Struktur Putusan Hukum dengan Deep Learning Berbasis Indobert Dan Low-Rank Adaptation (LoRA) Muhammad Wafa Zain; Ahmad Jazuli; Esti Wijayanti
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 2 (2026): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i2.962

Abstract

Court decision documents in Indonesia are generally lengthy in structure and not yet digitally organized, making the automatic extraction of information a challenging task. Furthermore, the application of deep learning models to legal documents is often constrained by high computational demands. Therefore, this study aims to develop an efficient classification system for legal decision structures (IndoLaw) using the IndoBERT model with the Low-Rank Adaptation (LoRA) method. The study utilizes the IndoLaw dataset consisting of 111,108 rows of first-level decision text. Data splitting was performed using a document-level split with an 80:10:10 ratio to prevent data leakage across documents. The LoRA method was applied to the attention layers of IndoBERT by inserting low-dimensional matrices, making the fine-tuning process more efficient. The model was then integrated into a Streamlit-based application to support interactive text classification and PDF document extraction. Test results show that the IndoBERT + LoRA model achieved an Accuracy and F1-Score of 0.9944, outperforming the Full Fine-Tuning method which recorded an Accuracy of 0.9939 and an F1-Score of 0.9938. In addition, the use of LoRA reduced trainable parameters by up to 99.74%, decreased GPU VRAM usage by 44% (from 2.5 GB to 1.4 GB), and accelerated computation time per epoch by 36%. Based on these results, the IndoBERT + LoRA approach is proven capable of producing accurate and efficient legal document classification with lower computational requirements.
An Integrated XGBoost-SHAP Framework for XAI-based Analysis of Agroclimatic, Agronomic, and Operational Labor Proxy Affecting Block-Level Oil Palm Productivity Hafis Ramadhan; Ahmad Jazuli; Esti Wijayanti
Journal of Information System and Informatics Vol 8 No 4 (2026): August
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i4.1770

Abstract

Oil palm block-level productivity (Yield Per Hectare/YPH) relies on complex agronomic, climatic, and operational interactions, yet existing predictive models often neglect internal estate conditions. We developed an XGBoost-SHAP framework using 1,351 block-year observations (2018–2024) from a single plantation in Central Kalimantan, Indonesia. Features include plant age, land area, rainfall, and a labor ratio functioning as a land-based workload proxy. The baseline random-split testing achieved R² = 0.6276, MAE = 2.2747 Tons/Ha, RMSE = 3.3303 Tons/Ha, and MAPE = 28.73%. However, evaluating the model under grouped block and time-based validation schemes revealed limited spatial and temporal transferability. SHAP analysis identified plant age (47.51%), land area (14.32%), annual rainfall (10.87%), and labor ratio (8.51%) as primary yield drivers, revealing non-linear interaction patterns. Rather than a fully autonomous tool, this framework provides a transparent interpretive heuristic and decision-support prototype to evaluate block-level operational strategies. By quantifying internal operational variables alongside agronomic factors, this study contributes valuable insights for precision agriculture, suggesting future work validate dashboard heuristics with estate managers and incorporate granular fertilization and harvesting logs to further enhance predictive robustness.
Analisis Sentimen Suporter terhadap Performa Persijap Jepara Menggunakan Metode Naïve Bayes M. Rikza Tamyiz; Esti Wijayanti; Ahmad Jazuli
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 4 (2026): Agustus 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i4.3883

Abstract

Social media has given football fans an open channel to voice unfiltered reactions to their club's performance, and the Instagram account of Persijap Jepara now attracts a large volume of such comments that has never been examined in a structured way. This study applies a Machine Learning technique, specifically the Multinomial Naïve Bayes algorithm, to classify the sentiment expressed by these supporters. A total of 5,493 distinct Instagram comments were collected, cleaned through a text-preprocessing pipeline, and converted into numerical features using TF-IDF weighting. Testing the resulting model produced an accuracy of 74.32%, alongside a precision score of 0.76, a recall score of 0.72, and an F1-score of 0.74. Keywords: Sentiment Analysis; Machine Learning; Naïve Bayes; TF-IDF; Persijap Jepara.   Abstrak Kemajuan media sosial membuka ruang bagi suporter sepak bola untuk menuliskan pendapat mereka secara bebas mengenai performa klub. Akun Instagram resmi Persijap Jepara menerima volume komentar yang tinggi, tetapi data teks tersebut belum pernah diolah dan dinilai secara terstruktur. Riset ini berupaya mengukur kecenderungan sentimen suporter dengan memanfaatkan teknik Machine Learning berupa algoritma Multinomial Naïve Bayes. Sebanyak 5.493 komentar unik dikumpulkan dari Instagram, kemudian dibersihkan melalui tahap preprocessing teks serta diubah menjadi fitur numerik menggunakan pembobotan TF-IDF. Hasil pengujian model menunjukkan akurasi 74,32%, presisi 0,76, recall 0,72, serta F1-score 0,74. Kata kunci: Analisis Sentimen; Machine Learning; Naïve Bayes; TF-IDF; Persijap Jepara
Co-Authors Abraham Wahyu Wicaksono Aditya Akbar Riadi Ahmad Abdul Chamid Ahmad Jazuli Akhnaf Faiq Ajiputra Alif Catur Murti Anastasya Latubessy Andre Tri Saputra Arfiyan khusnul Umam Arfiyan Khusnul Umam Arif, Diki Dhevie Novita Sari Diana Ermawati Dimas Satrio Oktavianto Eko Darmnato Evanita Evanita, Evanita Fadhila Mutia Rahmi Fahriza, Yoga Bagus Faiza Nisardika Anggita Fridani Fariq, Muhammad Evan Fika Kamalul Wafi Hafis Ramadhan Hanik Hidayati Heru Sabputro Heru Saputro ilham dwi setiawan Intan Noviyanti Lovika Ardana Riswari M. Rikza Tamyiz Maharani, Rizkysari Mei Muhammad Arifin Muhammad Dwiky Candra Fardani Muhammad Fahrizal Amim Muhammad Farid Arshal Afandi Muhammad Wafa Zain Nailal Huda Naufal Meidhana Kenmahdy Ratih Nindyasari Reza Satria Nazala Ricky Novian Riyadi Rina Fiati Rizkysari Mei Maharani Rizkysari Meimaharani Saputra, Rizki Maulana Savitri Wanabuliandari Sekar Dwi Ardianti Syafril Ardi Hermawan Yuda Ardiansyah Pratama