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Ika Arthalia Wulandari
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INDONESIA
Jurnal Ilmiah Sistem Informasi
Published by Universitas Muhammadiyah Metro
ISSN : 28295420     EISSN : 28294556     DOI : https://doi.org/10.24127
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Other
Jurnal Ilmiah Sistem Informasi yang disingkat dengan JISI adalah salah satu Jurnal yang ada di Prodi D-III Sistem Informasi Fakultas Ilmu Komputer Universitas Muhammadiyah Metro Lampung Jurnal ini akan membahas mengenai beberapa permasalahan diantaranya yaitu Information System, Management Information System, Knowledge Management System, Project Management System, Geographic Information System, Supply Chain Management, Customer Relationship Management, Artificial Intelligence, Decision Support Systems, Software Engineering & Software Re-Engineering, Data Management, Data Mining, Cloud Computing dan Internet OF Things
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 11 Documents
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Search results for , issue "Vol. 4 No. 2 (2025): OKTOBER" : 11 Documents clear
Segmentasi Pelanggan Berdasarkan Volume Pembelian Produk Menggunakan Algoritma K-Means Untuk Efektivitas Pemasaran Kurnia, Dennis Ma'rifatul; Aulia, Nurun Nihayatur Rifqiya; Hidayah, Yulistiya Nur; Saputri, Cindy Avitaselly Bambang
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.9042

Abstract

The rapid development of information technology has changed the way products are sold, especially through online platforms that are increasingly in demand. In increasingly tight business competition, companies need to understand the differences in customer needs and behavior. Inability in this regard can make it difficult to design effective marketing strategies. Therefore, customer segmentation based on transaction data is an important solution to group customers based on similar purchasing patterns. This study aims to examine customer segmentation based on sales transactions to help companies understand customer characteristics and develop more targeted and adaptive marketing strategies. A quantitative approach is used by applying the K-Means Clustering algorithm and PCA dimension reduction to a dataset from Kaggle containing 3,900 entries with 9 attributes. Determination of the optimal number of clusters was carried out using the Elbow and Silhouette Score methods. The segmentation results show five optimal clusters with the highest Silhouette Score of 0.81. Cluster 0 is the most dominant. PCA visualization shows a fairly clear cluster separation although there is little overlap. This study has succeeded in grouping customers based on purchase volume. Limitations of the study include the uneven distribution of clusters and it is recommended to add demographic attributes and evaluate other algorithms such as DBSCAN.
Analisis Faktor Kepuasan Pengguna Silayak UIN Raden Fatah Palembang Menggunakan Model EUCS Muhammad Bayu Deswara; Rusmala Santi; Reni Septiyanti
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.9830

Abstract

Kesuksesan penerapan teknologi informasi di suatu institusi atau organisasi dapat diukur melalui tingkat kepuasan pengguna sistem informasinya. Di UIN Raden Fatah Palembang, Silayak (Sistem Layanan Akademik) telah diadopsi sebagai platform bagi mahasiswa untuk mengakses berbagai layanan akademik. Penelitian ini bertujuan untuk mengevaluasi pengaruh variabel dalam model End User Computing Satisfaction (EUCS), yang meliputi lima dimensi ialah Conten, Accuracy, Format, Ease of Use, dan Timeliness, serta satu variabel tambahan yaitu Security, terhadap kepuasan pengguna Silayak di lingkungan UIN Raden Fatah Palembang. Pendekatan yang di gunakan dalam penelitian ini ialah kuantitatif, dengan teknik pengumpulan data melalui kuesioner. Populasi dalam penelitian ini terdiri dari 21.387 mahasiswa aktif, dan sampel yang diambil sebanyak 381 responden menggunakan metode Simple Random Sampling, berdasarkan tabel penentuan jumlah sampel dengan tingkat signifikansi 5%. Hasil analisis menunjukkan bahwasanya lima variabel yaitu content, format, ease of use, timeliness, dan security memiliki pengaruh signifikan terhadap kepuasan pengguna, sedangkan variabel accuracy tidak memberikan pengaruh
Implementasi MobileNetV2 Untuk Pengenalan Presisi Penyakit Daun Kopi Berbasis Citra Anggraini, Selvi Fitria; Nafi’iyah, Nur; Qomariyah N, Nur
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.9876

Abstract

ABSTRACT Coffee is one of Indonesia’s leading commodities, playing a vital role in the national economy, providing employment opportunities, and serving as a primary source of income for many farmers. However, coffee productivity is often reduced due to pest and disease attacks, particularly on th leaves, such as coffee leaf rust and red spider mites. These diseases can disrupt photosynthesis, lowe plant quality, and even cause plant death if not addressed promptly. Manual identification at the farmer level is often challanging due to limited knowledge and the similarity of visual symptoms betwen diseases. This study aims to develop an image classification system for detecting healthy leaves, leaf rust, and red spider mite infestations on coffee plants automatically. The method employed is machine learning based on a Convolutional Neural Network architecture using MobileNetV2 and transfer learning. The dataset consists of 501 images of coffee leaves, divided into 456 training data and 45 testing data. The model was trained to distinguish between the three classes, achieving a training accuracy of 64% and a testing accuracy of 56%. The resulting model was then integrated into a web-based application using Streamlit, enabling easy access for farmers and the general public. This system is expected to facilitate early detection of coffee leaf diseases in a faster, more practical, and affordable way, allowing farmers to take timely action before damage spreads. In the long term, this technology is anticipated to support improved coffee plantation productivity in Indonesia. Keywords: image classification, coffee leaf, MobileNetV2, transfer learning.
Implementasi Implementasi Cnn Berbasis Deep Learning Untuk Klasifikasi Penyakit Daun Jagung Askan, Valentiena Prastika Putrie; Nafi’iyah, Nur
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.9885

Abstract

This study aims to develop and evaluate a convolutional neural network (CNN)-based model for classifying corn leaf diseases using a simple yet effective architecture. Four disease classes were considered: healthy, gray leaf spot, leaf blight, and common rust. A dataset comprising 13,136 images was obtained from the open-source PlantVillage Dataset and processed using class balancing techniques to mitigate prediction bias. Each image was resized to 256×256 pixels, normalized, and split into training (80%) and testing (20%) sets. The proposed CNN architecture consists of four convolutional layers with progressively increasing filters (16, 32, 64, 128), followed by max pooling, dropout, and two fully connected layers. The model was trained for 50 epochs using the Adam optimizer with categorical cross-entropy as the loss function. Performance evaluation, based on accuracy, precision, recall, and F1-score, achieved an accuracy of 97.18% with consistently high metrics across all classes. The results were further visualized using a confusion matrix and classification report. Finally, the trained model was deployed in a Flask-based web application, enabling users to upload corn leaf images and receive automated detection results. These findings demonstrate that a simple CNN architecture can achieve high accuracy in classifying corn leaf diseases and holds significant potential for integration into digital plant disease monitoring systems.
Penerapan Metode AHP Dan MFEP Dalam Menentukan Penerima Bantuan Benih Padi Nur Jamiyyah; M. Fakhriza; Muhammad Dedi Irawan
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10066

Abstract

Penyaluran bantuan benih padi merupakan salah satu program pemerintah dalam meningkatkan produktivitas pertanian dan ketahanan pangan. Namun, proses seleksi penerima bantuan sering mengalami kendala karena keterbatasan kuota dan banyaknya kelompok tani yang mengajukan permohonan. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) yang dapat membantu menentukan penerima bantuan secara objektif dan tepat sasaran. Metode yang digunakan adalah kombinasi Analytical Hierarchy Process (AHP) untuk menentukan bobot setiap kriteria, dan Multi Factor Evaluation Process (MFEP) untuk menghitung skor dan peringkat setiap alternatif. Kriteria yang digunakan meliputi terdaftar di simluhtan, mengajukan proposal, produktivitas lahan, luas lahan, dan status penerimaan bantuan sebelumnya. Hasil pengujian menunjukkan bahwa sistem mampu memberikan rekomendasi yang sesuai dengan kebijakan penyaluran bantuan. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan basis data MySQL. Implementasi sistem ini diharapkan dapat meningkatkan transparansi, efisiensi, dan keadilan dalam proses pemberian bantuan benih padi.
Rancang Bangun Sistem Informasi Pergudangan Berbasis Mobile Menggunakan Metode Waterfall PT KAI Shandyka, Muhammad Fajar; Dedi Rohendi; Hanissa Okitasari
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10316

Abstract

PT Kereta Api Indonesia (Persero) menghadapi tantangan efisiensi dalam manajemen gudang persediaan akibat proses yang masih manual menggunakan kartu barang fisik, sehingga pencarian material menjadi lambat dan rentan terhadap kesalahan. Penelitian ini berfokus pada perancangan dan pengembangan sistem informasi pergudangan berbasis mobile untuk membantu meningkatkan akurasi dan efisiensi proses tersebut. Metode Waterfall digunakan dalam pengembangan sistem yang mencakup tahapan analisis, perancangan, implementasi, pengujian, dan pemeliharaan. Data diperoleh melalui wawancara dengan manajer subdivisi Material Stock dan observasi di gudang Purwakarta serta Yogyakarta. Hasil penelitian menunjukkan bahwa sistem mampu menyediakan pencarian material berdasarkan nomor, nama, atau lokasi, menampilkan stok secara real time, memperbarui data foto dan lokasi, serta mendukung identifikasi cepat melalui pemindaian QR code. Uji coba dengan metode Black Box menunjukkan bahwa fungsionalitas-fungsionalitas utama yang diuji dapat berjalan sesuai dengan skenario yang dirancang. Dengan demikian, sistem ini diharapkan dapat mempercepat pencarian, menyajikan data akurat, serta mengurangi ketergantungan pada metode manual, sehingga mendukung efisiensi operasional dan transformasi digital gudang PT KAI (Persero).
Pemanfaatan Pendekatan User-Centered Design dan Komunikasi Pembangunan dalam Pengembangan Aplikasi Clean Earth untuk Pengelolaan Sampah Cerdas Sukmasetya, Pristi; Dwihantoro, Prihatin
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10427

Abstract

Waste management remains a complex environmental issue in Indonesia that requires an interdisciplinary approach. This study aims to design and develop the Clean Earth application as a digital solution for community-based waste management by integrating the User-Centered Design (UCD) approach with Participatory Development Communication principles. A qualitative-descriptive method was employed through field observations, user interviews, interface prototyping, and limited user testing. The Clean Earth app consists of three core features: GoPah (scheduled waste collection), Barter (digital waste-bank system), and Education (interactive learning media on waste utilization). The System Usability Scale (SUS) evaluation involving 25 respondents yielded an average score of 84.6, categorized as Excellent Usability. Moreover, the Education feature effectively enhanced public awareness and understanding of sustainable waste practices. The findings demonstrate that integrating information technology with development communication can create a digital medium that is both functional and participatory, fostering behavioral change toward environmental responsibility. This study contributes to the formulation of an adaptive and inclusive Smart Circular Waste Management model applicable to various local community contexts in Indonesia.
Sistem Pendukung Keputusan Strategi Pemasaran UMKM menggunakan metode Complex Proportional Assessment (COPRAS) Hera Fransiska; Siregar, Gunayanti Kemalasari
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10430

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are pivotal to Indonesia's economy but face significant challenges in devising effective marketing strategies. This research aims to develop a decision support system to assist MSMEs in determining optimal marketing strategies. The study employs the Complex Proportional Assessment (COPRAS) method, selected for its capacity to proportionally evaluate alternatives against a set of benefit and cost criteria. The system was developed by integrating five main criteria: promotional costs, market reach, sales levels, customer satisfaction, and media effectiveness. Five alternative strategies were evaluated. The social media digital marketing strategy achieved the highest ranking with a utility value of (98.76%). The customer loyalty program (90.57%) and marketplace marketing (83.38%) were the next best-performing alternatives.The proposed decision support system offers objective and measurable recommendations, which enhances the effectiveness of marketing decision-making and supports MSME competitiveness in the digital age. Keywords: Decision support system, COPRAS, Marketing strategy, MSME, Multi-criteria decision making
Transformasi Digital UMKM Cemilan Atos-Atos melalui Rancang Bangun Sistem E-Commerce Berbasis Website Wulandari, Ika Arthalia; Ramadhan, Mohammad Bintang; Ridwan, Muhammad; Gara, Muhammad Hakam
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10444

Abstract

Micro, Small, and Medium Enterprises (MSMEs) have a significant contribution to Indonesia's economic growth, particularly in employment. However, many MSMEs have not yet optimally utilized information technology in their business processes. One such business is the Atos-Atos Snacks MSME, which still conducts sales activities conventionally and is limited to its surrounding area. Despite its strategic location, the product sales system is still carried out manually, and the service process is also conventional, without the support of digital devices such as computers or laptops. The payment method is cash directly on site or through an order delivery system to consumers, which is less efficient in terms of time, but also limits the potential for market expansion and increasing sales volume. This study aims to implement e-commerce to simplify the buying and selling process, allowing sellers and buyers located in different locations to conduct transactions online. The system development method used is the System Development Life Cycle (SDLC) with a waterfall approach, starting from requirements analysis, system design, implementation, and testing. The system was built using the PHP programming language with the CodeIgniter4 framework and MySQL as the database, and it applies the Model-View-Controller (MVC) architecture to separate business logic, display, and data processing. System testing was conducted using the Black Box Testing method to verify system functionality, as well as direct validation by the MSME owner as the end user. The test results showed that the system can run according to user requirements and help speed up the transaction process and expand product marketing reach. With the implementation of this system, it is hoped that the Atos-Atos Snacks MSME can improve operational efficiency and competitiveness in the digital era.
Rancang Bangun Aplikasi Toko Sepatu Bekas Berbasis Website Pujianto; Febriawan, Rangga; Renaldi, Chendi; Widodo, Suyud
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 2 (2025): OKTOBER
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i2.10449

Abstract

Conventional sales of used shoes still face various limitations, including limited market reach, difficulty displaying product variations, and inefficient transaction and stock management processes. These issues result in low marketing effectiveness and an increased potential for errors in transaction recording. This research aims to design and develop a web-based e-commerce platform focused on online used shoe sales as a solution to these constraints. The system was developed using a waterfall model approach, encompassing the stages of needs analysis, system design, implementation, testing, and maintenance. The website was developed using the PHP programming language with the CodeIgniter 4 framework and the MySQL database management system. Testing was conducted using black-box testing to verify the suitability of the system's functionality to user needs. The implementation results showed that the system is capable of providing key features such as a used shoe catalog, product search, user account management, checkout process, and transaction reporting. Overall, the developed platform has been proven to improve sales management efficiency, expand market reach, and reduce the potential for errors in the transaction process. Thus, this system contributes to the optimization of the digitalization of micro-enterprises in the used goods trade, particularly in the shoe sales sector, through integrated and easily accessible technology solutions.

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