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Ahmad Homaidi
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INDONESIA
Scientific Journal of Informatics
Published by Universitas Ibrahimy
ISSN : 25497480     EISSN : 25496301     DOI : https://doi.org/10.35316/jimi
Core Subject : Science,
Computer Science & IT
Topics cover the following areas (but are not limited to): 1. Information Technology (IT) a. Software engineering b. Game c. Information Retrieval d. Computer network e. Telecommunication f. Internet g. Wireless technology h. Network security i. Multimedia technology j. Mobile Computing k. Parallel/Distributed Computing 2. Information Systems Engineering a. Development, management and utilization of Information Systems b. Organizational Governance c. Enterprise Resource Planning d. Enterprise Architecture Planning e. e-Bbusinnes f. e-Commerce 3. Business Intelligence a. Data mining b. Text mining c. Data warehouse d. Online Analytical Processing e. Artificial Intelligence f. Decision Support System g. Machine Learning
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 146 Documents
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Analisis Kepercayaan Dan Risiko Menggunakan Metode Technology Acceptance Model Dalam Penggunaan Mobile Banking Pada Pt. Bank Sumsel Babel Cabang Kayuagung Cynthia Anisa Agatha; Edi Surya Negara Harahap
Jurnal Ilmiah Informatika Vol. 9 No. 1 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i1.1-14

Abstract

Banking is an institution that carries out activities in the form of activities to collect funds from the public and channel them in the form of loans or financing. In general, customers tend to use mobile banking based on various factors, including convenience, comfort and trust in the technology. One method that can be used to measure interest in using information technology is to use the Technology Acceptance Model (TAM). Based on observations made on several respondents who have used the South Sumatra Babel Bank mobile banking application, it can be said that interest in using the application does not make users bored or lazy about using it. The guarantee is that users will be given ease in using the mobile banking application.
Penerapan Algoritma K-Medoids Clusetering Untuk Rekomendasi Menu dan Strategi Stok Bahan Baku Rinci Kembang Hapsari; M Safi Anwar Anas; Reza Zulkifli Ferdiansyah; Hanif Prasetyo; Mochamad Muhajir
Jurnal Ilmiah Informatika Vol. 9 No. 1 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i1.30-38

Abstract

Kedai kopi yang merupakan sebuah tempat yang menyediakan minuman kopi maupun minuman panas lainnya. Banyak pelanggan terutama anak muda yang berkunjung ke kedai kopi untuk menikmati makanan dan minuman sambil bersantai. Seiring pertumbuhan kedai kopi yang semakin meningkat dikarenakan tempat yang modern serta harga makanan dan minumannya yang terjangkau. Dalam berkompetisi service kedai kopi kepada pelanggan, banyak kedai kopi yang mengembangkan varian/ jenis minimum dan makanan yang dijual di kedai kopi. Banyaknya varian makanan dan minuman membuat pelanggan memerlukan waktu yang agak lama dalam memilih menu, dan juga membuat kesulitan bagian pembelian pada saat menyediakan stok bahan baku. Sehingga pada penelitian ini bertujuan untuk mengelompokkan menu yang ada di kedai kopi menjadi 2 cluster, yaitu cluster menu yang laku dan cluster menu cukup laku. Dalam penelitian ini dilakukan proses klasterisasi terhadap data penjualan menu kedai kopi dengan mengimplementasikan algoritma k-medoids. Dan dapat mengetahui setiap anggota dari cluster 1 dan setiap anggota dari cluster 2. Dari pengujian yang telah dilakukan, dapat membantu para pelanggan dan pengusaha kedai kopi untuk mendukung strategi pembelian. Dengan melihat menu cluster 1, dapat dijadikan sebagai informasi rekomendasi menu sehingga konsumen lebih mudah dalam memilih menu minuman dan makanan di kesai kopi. Selain itu juga dapat dijadikan sebagai dasar untuk melakukan pembelian bahan baku makanan dan minuman.
Penerapan Metode Scrum dalam Pembuatan Sistem Manajemen Sampah Berbasis WEB untuk Meningkatkan Efisiensi Pengelolaan Sampah Moch Minanur Rahman; Amrullah Amrullah; Muhammad Ainul Yaqin
Jurnal Ilmiah Informatika Vol. 9 No. 1 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i1.39-56

Abstract

The increase in population, economic capacity, industrial expansion and urbanization have caused significant disruption in waste volumes, which has made traditional waste management systems no longer effective and caused environmental, health and social problems. This research aims to design and implement a web-based waste management system to increase waste management efficiency by applying the Scrum method. Research methods include needs analysis, system design, Scrum implementation, and results evaluation. The Scrum method was chosen because of its focus on collaborative teams and rapid adaptation to change, thus enabling the development of systems that are more responsive to user needs. The research results show that the system developed was successfully implemented well, with all planned features functioning as expected. The conclusion of this research is that applying the Scrum method in developing a web-based waste management system can improve waste management efficiency and coordination. However, further research is needed to optimize this system in real contexts. This research makes an important contribution to the field of waste management by integrating information technology and the Scrum method, and it is hoped that it can become a reference for further research
Rancangan Bangun Sistem Informasi Monitoring Perjanjian Kerjasama Berbasis Website dengan Integrasi Firebase Siti Maria Ulfa; Firman Santoso; Nur Azize
Jurnal Ilmiah Informatika Vol. 9 No. 1 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i1.15-29

Abstract

Information systems have become core in managing business activities. Cooperation agreements, as an essential element in organizations, require efficient management to ensure the continuity of successful cooperation. Although there are already information systems in use, there are still challenges related to coordination, evaluation, and tracking of cooperation agreements. Therefore, this research aims to integrate Firebase technology into the cooperation agreement monitoring information system. By utilizing Firebase features such as Authentication, real-time database, and hosting, this system will also be connected to notifications via email and WhatsApp API to provide information about the status of the agreement submission. The development of this system uses the waterfall method and UML diagrams. The diagrams used are use case diagrams, activity, and class diagrams. Actors involved in this system are partners, admins, visitors, and office heads. Implementing the system developed using Firebase integration facilitates the process of submitting, monitoring, and evaluating cooperation and application development.
Sistem Informasi Berbasis Website Sebagai Media Promosi Sekaligus Layanan Pemesanan Yang Dikembangkan pada UMKM Omah Batik Muhammad Dicho Nugroho Wicaksono
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.112-123

Abstract

This research describes the development of a website-based information system as a promotional media and ordering service for Omah Batik Sukun UMKM using the waterfall methodology. UMKM Omah Batik Sukun is a community business group located at Jalan S. Supriadi 2C No. 14 Sukun, Malang City, East Java. established in 2015 and started community strengthening activities in 2018. UMKM Omah Batik Kinanti itself comes from the Tourism Awareness Group, also known as POKDARWIS in the RW 03, and has expertise and interest in the batik making process. Since its inception, this business has not experienced much progress. One of the reasons is that there is no media or platform that can be used to launch and market products and display what UMKM Omah Batik Sukun is. Therefore, in this final project research, researchers designed an information system that functions as an advertising tool and manufacturing product ordering service. We hope that this website can become a platform for information and help the wider community to find out more about what UMKM Omar Batik Sukun is.
Implementasi Sistem Kursi Roda Elektrik Berbasis Nodemcu Esp8266 Pada SLB Dinamika Bekasi Muhammad Hannan; Ahmad Chusyairi
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.101-111

Abstract

The conventional wheelchair system at SLB Dinamika Bekasi serves to assist students in carrying out activities in the school environment. The use of wheelchairs at the school is still not optimal with several problems, such as the activities of children with disabilities at school require constant supervision and assistance to adapt to the surrounding environment, so schools need to create an environment that supports the development of students with disabilities, both academically and non-academically. In addition, there are accessibility limitations such as inclines and declines in the school environment that make it difficult for students to carry out their activities. By implementing an electric wheelchair system based on NodeMCU ESP8266, this research successfully creates a more efficient and convenient solution. This system allows control of the wheelchair via a smartphone using the MIT App Inventor application, which makes it easy for users to move the wheelchair forward, backward, right and left easily. The method used in this research is the prototype method which consists of several stages such as communication, quick plan, modeling quick design, construction of prototype and deployment delivery & feedback. The test results show that the system works well, and has great potential to be further developed at SLB Dinamika Bekasi.
ANALISIS EFEKTIVITAS ALGORITMA MACHINE LEARNING DALAM DETEKSI MALWARE ANDROID DENGAN STATISTICAL TESTS Faisal Abdussalam; Alam Rahmatulloh
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.124-133

Abstract

Because there are so many harmful apps on the market, Android malware detection has emerged as a crucial cybersecurity concern. Using the Drebin dataset, which comprises 5,560 malicious and 9,476 benign applications, this study attempts to assess how well three machine learning algorithms—Neural Network, K-Nearest NeighborI (K-NN), and Decision Tree—detect malware on the Android operating system. The method used involves testing the performance of the three algorithms based on Accuracy, Precision, Recall, and F1-Score. The results show that Neural Network has the highest Accuracy at 98.7%, followed by K-NN with 97.7%, and Decision Tree with 97.5%. Neural Network also excels in Precision, Recall, and F1-Score with values of 98.4%, 98.1%, and 98.2%, respectively. Although the performance differences between the algorithms are not statistically significant, the results indicate that Neural Network offers the best solution for Android malware detection. This study provides guidance in selecting the appropriate algorithm for Android -based security systems.
Analisis Pengaruh Pengadaan Buku Teknologi Dalam Meningkatkan Literasi Mahasiswa Telkom University Purwokerto (Studi Kasus Perpustakaan TUP) Dedy Tigor Manurung; Naura Soffin Fadhilah; Yulia Margareth Sirait
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.156-166

Abstract

This research assesses the influence of acquiring technology books on student literacy at Telkom University Purwokerto through the SCOR (Supply Chain Operations Reference) Model. The study seeks to evaluate the efficiency and effectiveness of supply chain processes Plan, Source, Make, Deliver, and Return while recognizing key performance indicators. The results indicate that the Return process has the greatest impact on overall performance, achieving a total score of 8.725 out of 18.52. Conversely, the Plan and Deliver processes exhibit slight contributions, recording scores of 0.015 and 0.01, respectively, signifying the necessity for enhanced demand planning and book distribution approaches. The research underscores a notable disparity in digital literacy, with the usage rate for e-books at just 0.013%, whereas printed books stand at 30.69%. This study aids in formulating strategic suggestions, such as improved demand projection, streamlined distribution networks, and the promotion of digital literacy via e-book initiatives. This research is distinct from earlier studies as it centers on the specific context of procuring technology books within a university environment and utilizes a systematic KPI-based assessment. Although it offers valuable insights, the research is constrained by its focus on just one institution and the sole application of the SCOR framework. It is suggested that future research incorporate wider datasets, examine other methodologies, and investigate new digital solutions. By tackling these issues, the results seek to enhance the position of university libraries as hubs of effective and inventive digital literacy.
Deteksi Bahan Makanan untuk Rekomendasi Resep Masakan pada Program Diet Menggunakan Algoritma CNN Berliani Risqi Dwi Saputri; Fadiyah Desi Asmawati; Asih Rahmawati; Ilham Hatta Manggala; Muhammad Fikri Hidayattullah
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.134-141

Abstract

The increasing need for efficient dietary planning has led to the development of automated systems for identifying food ingredients and generating suitable diet recommendations. This study focuses on implementing a Convolutional Neural Network (CNN) using the VGG16 architecture to classify food ingredients and determine appropriate diet recipes. The problem addressed is the difficulty of manually identifying various food ingredients, which can be time-consuming and error-prone, especially in large-scale dietary planning. The proposed solution integrates deep learning technology with a user-friendly application that automates the classification process and generates diet suggestions. The method involves utilizing the VGG16 model pre-trained on the ImageNet dataset. The dataset underwent preprocessing techniques, including Gaussian Blur for noise reduction, normalization, and data augmentation, to improve model generalization. The model was trained over 50 epochs, achieving a training accuracy of 96.28% and a validation accuracy of 95%. This study contributes to the development of intelligent dietary systems, providing significant benefits in enhancing user convenience, accuracy in food classification, and promoting healthier lifestyles.
Penerapan Algoritma Convolutional Neural Network(CNN) Deteksi Kesehatan Mata Rizki Eka mulyani; Muhammad Rafli Erfiyanto; Fathur Rizqi Putra Pratama; Tengku Dimas Aditya; Muhammad Fikri Hidayattullah
Jurnal Ilmiah Informatika Vol. 9 No. 2 (2024): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v9i2.142-155

Abstract

Indra manusia memegang peranan penting dalam mengamati dan berinteraksi dengan lingkungan. Salah satu indera yang paling vital adalah penglihatan, yang difasilitasi oleh mata, yang menyediakan hingga 80% informasi yang dibutuhkan untuk aktivitas sehari-hari. Meskipun penting, kesehatan mata sering kali terabaikan, dan gangguan mata dapat menyebabkan ketidaknyamanan, gangguan penglihatan, atau bahkan kebutaan total. Penyakit seperti katarak, glaukoma, retinopati diabetik, dan kondisi mata umum lainnya menimbulkan ancaman signifikan terhadap kesehatan penglihatan. Indonesia, dengan salah satu tingkat kebutaan tertinggi di dunia, menghadapi tantangan dalam menyediakan perawatan mata yang memadai, terutama di daerah terpencil dengan akses terbatas ke dokter mata. Untuk mengatasi masalah ini, teknik pembelajaran mesin, khususnya Convolutional Neural Networks (CNN), telah digunakan untuk tugas klasifikasi gambar, termasuk analisis gambar medis. Model CNN, terutama arsitektur VGG-19, telah terbukti efektif dalam mengklasifikasikan dan mendiagnosis penyakit mata berdasarkan gambar retina dengan tingkat akurasi 96%. Penelitian ini bertujuan untuk mengimplementasikan metode CNN menggunakan arsitektur VGG-19 untuk mengklasifikasikan berbagai penyakit mata, seperti katarak, glaukoma, retinopati diabetik, dan kondisi mata lainnya. Penelitian ini melibatkan penggunaan kumpulan data berkualitas tinggi yang terdiri dari 800 gambar berlabel di delapan kategori penyakit mata, dengan tujuan mencapai klasifikasi yang akurat. Kumpulan data tersebut diproses terlebih dahulu, dan model pembelajaran mendalam dilatih untuk meningkatkan hasil klasifikasi. Penelitian ini berkontribusi pada potensi penerapan CNN dalam membantu diagnosis penyakit mata.

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