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All Journal Techno.Com: Jurnal Teknologi Informasi Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Information System JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems Jurnal Teknologi dan Manajemen Reputasi: Jurnal Rekayasa Perangkat Lunak International Journal Of Computer, Network Security and Information System (IJCONSIST) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Informatika Teknologi dan Sains (Jinteks) ILTEK : Jurnal Teknologi Jurnal Informatika Dan Tekonologi Komputer
Nurlaili, Afina Lina
Program Studi Informatika, UPN Veteran Jawa Timur
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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PENERAPAN FEFO DAN FIFO PADA APLIKASI PERSEDIAAN DAN PERENCANAAN PEMBELIAN BARANG BERBASIS WEBSITE: Erlin Widyastuti; Afina Lina Nurlaili; Muhammad Muharrom Al Haromainy
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 2 (2026): JATI Vol. 10 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i2.17164

Abstract

Dalam mendukung proses kegiatan operasional di sebuah lembaga pendidikan, dibutuhkan pengelolaan pencatatan barang yang baik. Akan tetapi, dalam praktiknya kegiatan pengelolaan pencatatan barang pada TK XYZ tersebut masih kurang memadai dikarenakan masih menggunakan pencatatan barang secara manual. Hal tersebut menyebabkan terjadinya beberapa permasalahan, seperti pencatatan barang tidak akurat dan terjadi penumpukan barang. Penelitian ini dilakukan dengan tujuan untuk membangun aplikasi persediaan dan perencanaan pembelian barang dengan basis website. Metode yang akan digunakan pada proses pengembangan sistem adalah FIFO dan FEFO. Proses pembangunan aplikasi akan dilaksanakan dengan menggunakan metode RAD dan aplikasi yang telah dibangun akan diuji menggunakan metode blackbox testing. Hasil dari penelitian ini adalah terciptanya sebuah aplikasi persediaan dan perencanaan pembelian barang dengan basis website yang mampu mengelola pencatatan barang dan mampu melakukan pencatatan perencanaan pembelian barang yang akan dilakukan di masa mendatang secara digital. Dengan demikian, aplikasi ini diharapkan dapat membantu pihak TK XYZ untuk mengelola persediaan barang secara lebih akurat dan efektif.
PENGUATAN KAPASITAS GURU DAN SANTRI MELALUI IMPLEMENTASI SISTEM PENDIDIKAN DIGITAL DI PONDOK PESANTREN PPAI DARUN NAJAH 2 MALANG Muhammad Muharrom Al Haromainy; Afina Lina Nurlaili; Ryan Purnomo; Theressa Marry Christianty; Luthfiyana Mahrurin Abadi
Jurnal Abdi Insani Vol 13 No 1 (2026): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v13i1.3292

Abstract

The development of digital technology has driven significant changes in modern education systems, including religious-based institutions such as Islamic boarding schools. As Islamic educational institutions, pesantren are required to adapt to digitalization to improve institutional management and learning processes effectively. This digital transformation involves not only the adoption of technology but also the enhancement of human resource capacity within the institution. Therefore, the readiness of teachers and students becomes a crucial factor to ensure that digital education can be implemented optimally. This program aims to strengthen the capacity of teachers and students through the implementation of a digital education system at the Islamic Boarding School PPAI Darun Najah 2 Malang. The strengthening effort includes improving teachers’ technical abilities in using digital administrative and learning systems, as well as expanding students’ digital literacy. A total of 20 teachers participated in this program, while the number of students involved in the mentoring process reached 250. All objectives are directed toward encouraging the pesantren to transform into an educational institution that is responsive to technological advancements. The community service activities were carried out through phases of needs analysis, system design, and implementation of digital features such as the new student registration system, inventory system, e-learning platform, and library website. This process was continued with socialization for teachers and training sessions on digital literacy and the introduction of artificial intelligence technology for students. The results of the program showed a significant increase in digital competence among teachers after completing the training activities. Their initial understanding, which averaged 72.67%, increased to 98% following the system implementation and mentoring sessions. Teachers were able to operate the registration, inventory, and e-learning systems with greater confidence and accuracy. Furthermore, students gained new insights into the basic concepts of AI and its relevance to education and everyday life. This increase in knowledge also fostered higher learning motivation and a growing interest in digital technology among the students. In conclusion, the implementation of the Digital Education System in the pesantren has proven effective in improving administrative management, expanding access to learning, and strengthening the digital literacy of both teachers and students.
Desain dan Pengembangan Aplikasi Pengelolaan Properti Mode Offline Menggunakan Sinkronisasi Otomatis dan CQRS Event Sourcing Muhammad Ariq Hawari Adiputra; Made Hanindia Prami Swari; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3332

Abstract

The advancement of information technology has accelerated the digitization of project management, particularly in the supervision and monitoring of construction progress previously handled manually through paper-based documents and Excel spreadsheets. Such manual processes have led to delays in reporting, data duplication, and reduced data accuracy. This study aims to design and implement a web- and mobile-based project management and property sales system featuring Offline-First Synchronization, Command Query Responsibility Segregation (CQRS), and Event Sourcing to maintain the integrity of progress data and empower field supervisors to operate without an internet connection. The research method follows the waterfall model, comprising needs analysis, system design with a clear separation of command and query, and the implementation of event log storage as the single source of truth for every data change, using Laravel as the backend and React Native with MMKV for local storage. Testing results demonstrate that the system ensures data consistency through automatic synchronization once network connectivity is available and can reconstruct project development progress using stored event data. Performance benchmarking showed that CQRS bulk operations reduced processing time to 0.053 seconds, outperforming traditional CRUD bulk operations at 0.073 seconds, while query latency in event sourcing read models averaged 0.101 seconds, only slightly higher than 0.089 seconds in direct database queries. The system also achieves reliable auditability and supports efficient task update and historical recalculation via event replay. The findings confirm that applying CQRS and Event Sourcing within an offline-first architecture improves reliability, auditability, and efficiency in field project monitoring.
Implementation of MobileNetV3-Large in Rhizome Classification M. Ryan Nurdiansyah N.A; Yisti Vita Via; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3365

Abstract

Rhizomes are widely used in Indonesia as cooking spices and herbal ingredients, yet their visual similarity often causes misidentification when recognition relies on manual inspection, leading to inconsistent product quality and economic losses. This study presents an automatic rhizome image classification system based on the MobileNetV3-Large architecture to distinguish eight Indonesian rhizome types (bangle, ginger, kencur, kunci, turmeric, galangal, temu ireng, and temulawak) from RGB images. The dataset is organised by class and processed with a pipeline that includes resizing to 224×224 pixels, image flipping and rotation, brightness adjustment, zoom, and normalisation, before being split into training, validation, and testing subsets with an 80:10:10 ratio. MobileNetV3-Large pretrained on ImageNet is used as a feature extractor with a three layer dense classification head and dropout regularisation, trained using the Adam optimiser with a learning rate of 0.0001 and a checkpoint mechanism to store the best validation model. The proposed model achieves 97.50% accuracy, 97.65% precision, 97.50% recall, and 97.51% f1-score on the test set, indicating stable and balanced performance across all rhizome classes despite their similarity. Compared with earlier rhizome classification approaches based on handcrafted features, which typically report lower accuracies on fewer classes, and with heavier VGG or ResNet backbones, this work provides, to the best of the authors’ knowledge, the first evaluation of MobileNetV3-Large for multi class rhizome classification and shows that it offers a practical and computationally efficient baseline for image based rhizome identification on resource constrained mobile or embedded devices.
Expert System Implementation Using Certainty Factor Method for Early Pregnancy Disease Detection Nanda Syarla Hariyanti; Afina Lina Nurlaili; Firza Prima Aditiawan
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3366

Abstract

Pregnancy requires continuous and accurate monitoring to prevent complications that may endanger both the mother and the fetus. Data from the 2024 Maternal Perinatal Death Notification (MPDN) system recorded an increase in maternal mortality, largely driven by delays in early diagnosis and late referral to appropriate healthcare facilities. These conditions highlight the need for decision-support technologies capable of providing timely and consistent early risk detection. This study develops HerBump, a web-based expert system designed to support the early identification of common pregnancy-related diseases by integrating the Certainty Factor (CF) method with expert medical knowledge. The novelty of this work lies in the use of CF to represent the degree of confidence from both experts and users, which helps improve diagnostic accuracy compared with conventional rule-based systems, especially in cases where symptoms are overlapping, incomplete, or vary between individuals. Evaluation results show that HerBump can generate early diagnostic outputs accurately and efficiently, supported by a System Usability Scale (SUS) score of 98.3 (Excellent) and Blackbox Testing that confirms all features function correctly across different scenarios. More broadly, the system has meaningful implications for maternal health, as it can support earlier interventions, enhance the consistency of risk assessments, and potentially help reduce maternal and infant mortality through faster and more reliable early detection. Its simple and scalable design also enables potential use in resource-limited areas, including regions with shortages of healthcare workers, with future development opportunities through expanded disease coverage and more diverse datasets to strengthen diagnostic reliability.
A Web-Based Online Reservation System with Personalized Tourism Recommendations Using Content-Based Filtering Rizky Amelia; Afina Lina Nurlaili; Firza Prima Aditiawan
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3382

Abstract

The rapid growth of digital technologies has transformed the tourism industry and increased the need for personalized recommendation systems to enhance user experience and business competitiveness. However, many small- and medium-scale travel agencies still rely on manual reservation processes and social media–based promotions, which limit service efficiency and personalization. This study designs and implements a web-based reservation and tourism recommendation system for Sumovacation Tour using a Content-Based Filtering approach enhanced with feature weighting and cosine similarity. The main novelty of this study lies in the feature weighting mechanism, which assigns different importance levels to package attributes such as activities, travel duration, package type, and budget, improving recommendation relevance compared to standard content-based methods. Data were collected from Google Maps reviews in 2025, resulting in approximately 300 rating and review entries. The recommendation engine computes weighted relevance scores from user preference tags and package metadata to generate personalized recommendations. System functionality was validated using Black Box Testing, where all core workflows successfully passed, while usability evaluation using the USE Questionnaire showed high user acceptance, with usefulness, satisfaction, and ease of use each scoring 94.4%, and ease of learning reaching 95.2%. During testing, challenges related to data consistency and user input variation were addressed through input validation. The results show that the proposed system improves recommendation relevance while enhancing operational efficiency by reducing manual booking handling and supporting digital reservation management.
Analisis Perbandingan Deteksi Penyakit Daun Jagung Menggunakan YOLO dan CNN Mohammad Habim Hazidan Rifqi; Muhammad Muharrom Al Haromainy; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3392

Abstract

This study compares the performance of two deep learning methods, You Only Look Once version 8 (YOLOv8) and the Convolutional Neural Network (CNN) EfficientNetB0, in detecting and classifying maize leaf diseases. The background of this research stems from the importance of early plant disease identification to support food security, as well as the limitations of manual inspection methods, which are slow, subjective, and inefficient. The study combines primary and secondary data, totaling 2,000 images that underwent undersampling, augmentation, resizing, and bounding box annotation for YOLO training needs. Both models were trained on the same dataset with an 80% training and 20% testing split. YOLOv8n was trained using a transfer learning approach for 30 epochs, while the CNN was trained using EfficientNetB0 with similar training parameters. The results show that YOLOv8 achieved high detection performance with an mAP@0.5 of 0.985 and the highest class accuracy in the Healthy category (0.99). Meanwhile, the CNN demonstrated more stable classification performance, achieving the highest accuracy in the Grey Leaf Spot class (0.99) and a validation accuracy of 0.96. The comparison indicates that YOLO excels in object detection and disease localization in field images, whereas the CNN is more consistent in classifying segmented leaf images. These findings provide practical implications for real world deployment: YOLOv8 is suitable for real time detection in field conditions, including potential integration into mobile based early warning systems for farmers, while EfficientNetB0 is more appropriate for offline or laboratory based classification of static leaf samples.
Sensitivity Test Of Simple Additive Weighting And Weighted Product Methods For Toddler Nutritional Status Nadia Dita Salsabila; Ani Dijah Rahajoe; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3713

Abstract

Toddler nutritional status is an important indicator of child health and development and requires accurate assessment. In Posyandu, nutritional evaluation is often performed manually, which may lead to inefficiencies and inconsistencies when processing large amounts of data. Decision Support Systems (DSS) can assist health workers in conducting more systematic and objective assessments. Previous studies have applied multicriteria decision-making methods such as Simple Additive Weighting (SAW) and Weighted Product (WP) in various decision-making contexts. However, most studies mainly focus on producing ranking results and rarely examine how sensitive these methods are when criteria weights change. In addition, only limited research evaluates these methods using real anthropometric data collected from community health services such as Posyandu. Therefore, this study aims to analyze and compare the sensitivity of the SAW and WP methods in determining toddler nutritional status using empirical anthropometric data. The dataset consists of 412 toddlers collected from Posyandu activities, including gender, age, weight, height, and body mass index, which were converted into nutritional indicators. Sensitivity was assessed by modifying each criterion weight under two scenarios (0.5 and 1) and measuring the percentage change in the resulting preference values. The results show that the SAW method produced a change of 4%, whereas the WP method showed a change of 0.0028%. These findings indicate that SAW is more responsive to weight variations, while WP produces more stable preference values. The results provide empirical insight into the behavior of different multicriteria decision-making methods when applied to real nutritional monitoring data.
Web-Based Woven Fabric Recommendation System Integrated Fuzzy AHP and MOORA Based on User Preferences Mulyani Satya Bhakti; Retno Mumpuni; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3768

Abstract

This study proposes a web-based decision support system for woven fabric selection by integrating the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA). The system addresses limitations in conventional selection processes that rely on subjective judgment and lack structured multicriteria evaluation. The proposed approach combines uncertainty-based weighting using Fuzzy AHP with objective ranking using MOORA, enabling a transparent and systematic decision-making process. Unlike previous hybrid MCDM-based recommender systems, this study integrates user preference modeling within a web-based framework and incorporates consistency validation and sensitivity analysis to ensure reliable results. The experimental results show that fabric type is the most influential criterion, with a weight of 0.33, and that alternative A4 consistently ranks as the best option, with an optimization value of 0.392. Sensitivity analysis shows that the ranking results remain stable across a 20% weight variation, and comparison with the SAW method confirms consistent rankings. In addition, User Acceptance Testing (UAT) involving 20 respondents achieves a score of 86.4%, indicating high usability and user satisfaction. However, the system is evaluated within a limited dataset and does not incorporate adaptive learning mechanisms. Therefore, future work is directed toward expanding the dataset and integrating machine learning-based approaches to enhance adaptability and scalability. Overall, the proposed system provides a structured, transparent, and empirically validated solution for multicriteria decision-making.
Design of Web-Based Decision Support System Using AHP and bcrypt Security Moh. Mario Subagio; Retno Mumpuni; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3769

Abstract

This study presents the development of a web-based decision-support system to prioritize village administrative services using a structured, data-driven approach. This research addresses a gap in existing systems, which generally lack integration of systematic decision-making methods and robust security mechanisms, leading to inefficiency, low transparency, and subjective decision-making in village administrative processes. To overcome these limitations, the system integrates the Analytical Hierarchy Process (AHP) to evaluate multiple criteria, including submission time, document completeness, urgency level, service type, and request frequency, thereby enabling qualitative assessments to be transformed into measurable, comparable priority values. In addition, the bcrypt algorithm enhances system security by protecting user authentication data through password hashing, thereby mitigating risks such as unauthorized access, brute-force attacks, and rainbow-table attacks. The system is developed as a web-based application to ensure accessibility, scalability, and centralized data management. Evaluation results indicate that the system produces consistent and reliable priority rankings, as evidenced by a Consistency Ratio (CR) within the acceptable threshold, and demonstrates improved decision accuracy and operational efficiency compared to conventional manual approaches. Document completeness is identified as the most influential criterion in determining service priority. Furthermore, the proposed system offers broader applicability beyond village administration, particularly in other public service domains requiring transparent, efficient, and secure decision-making processes. Overall, this study contributes by integrating AHP and bcrypt within a unified system to enhance both decision quality and data security in digital administrative services.
Co-Authors Achmad Andrian Maulana Adinda Putri Budi Saraswati Agung Mustika Riski Ajeng Listya Devani Alya Izzah Zalfa Rihadah Ramadhani Nirwana Putri Ananda Rheza Kurniawan Anggraini Puspita Sari Anggraini Puspita Sari Ani Dijah Rahajoe Anya Ningrum Nur'afifah Aulia Saharani Basuki Rahmat Budi Mukhamad Mulyo Dhian Satria Yudha Kartika Egar Firmansyah Enryco Hidayat Erlin Widyastuti Erwin Erdiyanto Eva Yulia Puspaningrum Faisal Muttaqin Faishal Fernando Hutama Fetty Tri Anggraeny Fidela Carissa Aramintha Firlie Aurellia Az-zahra Firyal Wishal Nabili Firza Prima Aditiawan Firza Prima Aditiawan Henni Endah Wahanani I Dewa Gde Satria Pramana Erlangga Ikhsan Nobrian Indah Rahmawti Utami Isfa Fadil Muhammad Kartika Sari Kesya Nursyahada Kevin Iansyah Luthfiyana Mahrurin Abadi M. Muharrom Al Haromainy M. Ryan Nurdiansyah N.A Made Hanindia Prami Swari Maulana, Hendra Moh. Mario Subagio Mohammad Habim Hazidan Rifqi Mohammad Idhom Mohammad Idhom Muhamad Fihris Aldama Muhammad Albert Nur Agathon Muhammad Ariq Hawari Adiputra Muhammad Faizul Ulum Muhammad Muharrom Al Haromainy Muhammad Muharrom Al Haromainy Muhammad Muharrom Al Haromainy Muhammad Rohman Irsyadi Muhsin Mulyani Satya Bhakti Nadia Dita Salsabila Nanda Syarla Hariyanti Nurul Hidajati Raissa Atha Febrianti Retno Mumpuni Retno Mumpuni Riyanarto Sarno Rizki, Agung Mustika Rizky Amelia Ryan Eka Wiratna Ryan Purnomo Safitri, Eristya Maya Silvia Dwi Cahyani Sugiarto, Sugiarto Theressa Marry Christianty Volem Alvaro Azira Azira yisti vita via Yisti Vita Via