Kahfi Gunardi
Universitas Islam Negeri Siber Syekh Nurjati Cirebon

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Perbandingan Algoritma Klasifikasi untuk Mendeteksi Kebutuhan Nitrogen Tanaman Padi Berdasarkan Data Citra Multi-spectral Drone Kahfi Gunardi; Karlisa Priandana; Medria Kusuma Dewi Hardhienata; Wulandari; Mohamad Solahudin
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 10 No. 2 (2023)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.10.2.238-249

Abstract

Optimalisasi penggunaan pupuk Nitrogen (N) sangat penting untuk meningkatkan produktivitas tanaman padi. Untuk mengetahui jumlah pupuk yang diperlukan oleh tanaman padi, petani umumnya menggunakan Bagan Warna Daun (BWD) dengan cara mencocokkan warna daun padi dengan warna pada BWD secara manual. Namun, hal ini sangat memakan waktu. Salah satu strategi untuk meningkatkan efisiensi penentuan kebutuhan pupuk N adalah dengan menggunakan Multi-spectral Drone. Drone digunakan untuk mengambil citra multispectral, kemudian citra ini digunakan untuk menentukan kebutuhan pupuk N. Penelitian ini membandingkan beberapa algoritma klasifikasi untuk memodelkan kebutuhan pupuk N dari data citra multispectral, dengan menggunakan ground truth dari penskalaan BWD. Algoritma klasifikasi yang dibandingkan yaitu Decision Tree (DT), Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), dan K-Nearest Neighbour (KNN). Kinerja kelima algoritma klasifikasi diukur berdasarkan accuracy, recall, precision dan F1 score. Dalam penelitian ini, ditemukan bahwa model klasifikasi yang memiliki kinerja terbaik adalah algoritma Decision Tree (DT) baik dalam perlakuan tanpa normalisasi dan balancing dan dengan normalisasi dan balancing dengan nilai accuracy, recall, precision, dan­­­ F1-score di atas 90%.
Perancangan dan Implementasi Sistem Informasi Manajemen Operasional dan Penggajian Berbasis Web Menggunakan Model Waterfall Suhadi Parman; Gina Khayatun Nufus; Sokid; Kahfi Gunardi; Muhammad Iszul Wilsa
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35288

Abstract

Micro, Small, and Medium Enterprises such as E-Donuts face challenges in daily operational management, sales recording, packaging and donut stock management, and employee payroll because they still rely on manual processes. This study aims to design and implement EdoBest, a web-based operational management and payroll application developed using the Waterfall model. The development process includes planning, requirement analysis through interviews and observation, UML-based system design and responsive interface design, implementation using Laravel 12 and MySQL, black-box testing, and maintenance. The novelty of EdoBest lies in the integration of culinary MSME operational modules into a single system, including delivery batch management, multi-outlet management, packaging and donut stock management, employee activity recording, cash advance management, report validation, and automatic payroll calculation based on daily operational data. The quantitative testing results show that 16 functional test scenarios, consisting of 10 Admin scenarios and 6 Employee scenarios, were successfully executed with a 100% success rate. This research contributes a functionally tested design and implementation of an integrated information system that improves recording accuracy, reporting efficiency, real-time monitoring, and decision-making support for multi-outlet culinary MSMEs.
Usability Evaluation of a Desktop Library Application Using the System Usability Scale Kahfi Gunardi; layli Hardiyanti; Abdun Wijaya; Okma Arnilia; Fadhlan Ridhwana Sujana
Journal of Applied Informatics Science Volume 1 Issue 2 (2025)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v1.i2.71

Abstract

This study aims to evaluate the usability of an offline desktop library application developed using Java Swing and integrated with an iReport feature. The evaluation employed the System Usability Scale (SUS) using a descriptive quantitative approach. Data were collected from 28 respondents consisting of librarians and library administrators as the primary system users. The results show that the application achieved an average SUS score of 62.77, which falls into the marginal acceptability range, corresponding to Grade D and an “OK” adjective rating, and below the standard SUS benchmark score of 68. These findings indicate that the application adequately supports basic library operations but still exhibits usability limitations, particularly in interface consistency, user confusion, and reliance on technical assistance. Consequently, improvements in interface design and user experience are necessary to enhance the overall usability of the application.
Perancangan Sistem Informasi Manajemen Fokus Belajar Ocus Menggunakan Metode SDLC Layli Hardiyanti; Kahfi Gunardi; Muhammad Arya Pangestu; Andika Muhammad Surya; Catur Prasetyo Gama
Journal of Applied Informatics Science Volume 2 Issue 1 (2026)
Publisher : GWS Tech Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65897/jais.v2.i1.78

Abstract

Distraksi digital menjadi tantangan utama produktivitas belajar mahasiswa. Berdasarkan survei terhadap 100 responden, 87,5% mahasiswa kesulitan mempertahankan fokus belajar dan 75% kesulitan mengelola tugas. Penelitian ini bertujuan merancang sistem informasi Ocus (On Focus Studies) yang mengintegrasikan Pomodoro Timer, task management, dan progress tracking dalam platform mobile. Metode pengembangan menggunakan Software Development Life Cycle (SDLC) meliputi perencanaan, analisis kebutuhan, desain sistem, dan rencana implementasi. Hasil perancangan menghasilkan lima fitur utama dengan dokumentasi Use Case Diagram, Activity Diagram, Class Diagram, dan desain UI berbasis React Native. Sistem dirancang untuk meningkatkan fokus belajar hingga 60% dengan mengurangi distraksi digital melalui teknik Pomodoro yang terintegrasi
Analisis Usability Website Oceanography ITB Hub Menggunakan System Usability Scale Berdasarkan Karakteristik Pengguna Kahfi Gunardi; Iwan Pramesti Anwar; Suhadi Parman; Gina Khayatun Nufus; Layli Hardiyanti
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 2 (2026): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i2.1529

Abstract

Oceanography ITB Hub is a scientific dashboard that presents real-time meteorological and oceanographic observation data from an Automatic Weather Station (AWS) installed at the Marine Technology and Coastal Research Center (MTCRC) pier, Cirebon. As a dashboard with high information density and technical terminology, usability becomes a critical aspect, particularly because its users come from diverse academic backgrounds. This study aims to measure the usability level of the website using the System Usability Scale (SUS) and to analyze differences in usability perception based on user characteristics. The study involved 68 respondents divided into five groups: STMKG Lecturers, Science and Technology Lecturers, STMKG Students, Science and Technology Students, and Social Science Students. Data were analyzed using descriptive statistics, the Kruskal–Wallis test, and the Dunn–Bonferroni post hoc test. The results show a mean SUS score of 67.13, classified as Grade D, Marginal Acceptability, and an “OK” Adjective Rating, with all items proven valid and the instrument reliable (Cronbach's Alpha = 0.851). The Kruskal–Wallis test revealed a statistically significant difference in usability across user groups (H = 17.126; p = 0.0018), with STMKG Students rating usability significantly higher than Science and Technology Students (p = 0.0059) and Social Science Students (p = 0.0040). Item-level analysis identified learnability as the main weakness, particularly users' need to learn extensively or seek help before being able to use the website effectively. These findings emphasize the importance of considering user characteristics in the usability evaluation of scientific dashboards and provide a basis for interface improvement recommendations grounded in Nielsen's Usability Heuristics
Evaluasi Penerimaan dan Usability Aplikasi SIBERGO Menggunakan Technology Acceptance Model dan SUS Layli Hardiyanti; Kahfi Gunardi; Ardi Susanto; Muhammad Iszul Wilsa; Sokid
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 4 No. 2 (2026): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i2.1539

Abstract

As a mobile academic information system, SIBERGO supports students in carrying out their daily campus routines. To find out both how usable the application is and how willing students are to adopt it, this study combines two complementary instruments — the System Usability Scale (SUS) and the Technology Acceptance Model (TAM). Responses were gathered from 257 student users through an online questionnaire, then processed via descriptive statistics, validity and reliability checks, Pearson correlation, and Partial Least Squares-Structural Equation Modeling (PLS-SEM). On the 0-100 SUS scale, the application averaged 57.97, a Marginal, D-grade result that points to usability still below what the industry generally considers acceptable. Under TAM, five of the six proposed paths were statistically significant (p<0.05); notably, Perceived Ease of Use (PEOU) drove both Perceived Usefulness (PU) and Attitude Toward Using (ATU) at coefficients of 0.598 and 0.455. The direct PU-to-Behavioral Intention (BI) path, by contrast, was not significant (coefficient 0.068; p=0.357), leaving ATU to act as a full mediator between the two. A subsequent correlation analysis found PEOU to be the construct most closely tied to SUS scores (r=0.589; p<0.001), reinforcing agreement between the two evaluation methods. In short, students find SIBERGO reasonably straightforward to learn, yet its broader usability — system stability and feature consistency above all — has room to improve before daily use can be considered optimal.