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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 5 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2025): MARET" : 5 Documents clear
Analisis Sentimen Isu Megathrust Indonesia Di Twitter Menggunakan Support Vector Machine Dan Naive Bayes Christanto, Arya; Timur Samuel, Yusran
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 1 (2025): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i1.8453

Abstract

Indonesia berisiko tinggi mengalami gempa megathrust yang berpotensi menimbulkan bencana besar, termasuk tsunami. Ancaman ini mendapat perhatian karena dapat merusak infrastruktur, mengganggu komunikasi, dan berdampak signifikan terhadap perekonomian. Media sosial, terutama Twitter, merupakan wadah setiap individu atau masyarakat dalam bertukar informasi, menyampaikan ceramah, dan memberikan pendapat terkait isu ini. Penelitian ini menganalisis sentimen publik di Twitter mengenai megathrust di Indonesia dengan metode algoritma Support Vector Machine (SVM) serta Naive Bayes (NVB). Data dikumpulkan dari 404 tweet berbahasa Indonesia yang diposting antara 1 Agustus hingga 30 September 2024. Setelah melalui pra-pemrosesan, data yang diperoleh dilabeling secara manual dan otomatis sebelum diklasifikasikan dengan RapidMiner. Hasil pada penelitian ini menjelaskan bahwa Naive Bayes memiliki tingkat akurasi yang lebih tinggi (83,58%) dibandingkan SVM (75,94%). Selain itu, NVB lebih unggul dalam mengenali sentimen negatif dengan recall sebesar 68%. Analisis tersebut memberikan dampak terbaru, terutama wawasan mengenai persepsi individua tau masyarakat terhadap megathrust dan dapat menjadi dasar dalam merancang strategi komunikasi yang lebih efektif. Dengan memahami respons masyarakat, pihak yang berwenang dapat menyusun kebijakan mitigasi bencana yang lebih tepat dan meningkatkan kesiapsiagaan masyarakat. Penelitian ini juga menyoroti pentingnya media sosial sebagai sumber data dalam kajian kebencanaan, khususnya dalam memahami reaksi dan kesiapan masyarakat terhadap ancaman gempa bumi
Pengembangan Website Penjualan W’D Cakes & Cookies dengan Integrasi CRM dalam Meningkatkan Loyalitas Pelanggan Renaldi Yulvianda; Muhammad Ismail; Mochammad Arief Hermawan Sutoyo
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 1 (2025): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i1.8491

Abstract

The food and beverage industry, particularly the bakery and pastry sector, is growing rapidly due to increasing consumer demand and changes in consumption behavior. MSMEs like W’D Cakes & Cookies face operational challenges because they still rely on manual ordering systems via WhatsApp, which are prone to recording errors, service delays, and inefficient customer data management. This study aims to develop a web-based sales system integrated with Customer Relationship Management (CRM) to improve operational efficiency and customer loyalty. The research applies the Research and Development (R&D) method using the waterfall model, which includes requirement analysis, system design using Figma, development using the Laravel framework, and testing through Black Box Testing. The system implementation supports online ordering, product and customer management, digital payments, and transaction tracking. The embedded CRM features enable loyalty analysis, personalized promotions, and targeted customer communications. This system contributes to the digital transformation of MSMEs, increasing transaction speed, data accuracy, and service quality. Future research may explore integration with e-commerce platforms, chatbot implementation for customer service automation, and the use of artificial intelligence (AI) analytics to support data-driven marketing strategies.
Penerapan Metode SAW dalam Menentukan Prioritas Penerima Bantuan Sosial Budi Pratomo, Arief
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 1 (2025): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i1.8556

Abstract

Penyaluran bantuan sosial sering kali menghadapi kendala dalam menentukan penerima yang benar-benar layak. Proses seleksi yang tidak objektif dapat menimbulkan ketidakadilan dan penyimpangan data. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) dalam menentukan prioritas penerima bantuan sosial. Metode SAW dipilih karena mampu mengolah data dengan banyak kriteria dan menghasilkan peringkat secara akurat. Kriteria yang digunakan dalam penelitian ini meliputi penghasilan per bulan, jumlah tanggungan, kondisi tempat tinggal, dan status pekerjaan. Sistem ini diimplementasikan dalam bentuk aplikasi berbasis web yang dapat membantu pihak berwenang dalam membuat keputusan secara objektif dan transparan.
Implementasi Metode Design Thinking dalam Perancangan UI/UX Aplikasi Menabung Arthalia Wulandari, Ika; Sukmasetya, Pristi; Mujito; Asmanto, Budi
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 1 (2025): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i1.8560

Abstract

Mobile-based savings apps offer convenience in financial planning and management.However, many apps still face challenges regarding user experience (UI/UX) quality, which impacts user adoption and satisfaction. Poor user experience is often caused by interfaces that are not user-centered and a lack of understanding of users' needs. To address this issue, the Design Thinking approach, which focuses on empathy and innovative solutions,has become an increasingly popular methodology in application design. This study examines the application of the Design Thinking method in designing the UI/UX of savings apps, focusing on creating an intuitive and easy-to-use interface. The development process follows five main stages: Empathize, Define, Ideate, Prototype, and Test. The results of applying this method show that the Empathize stage helps developers understand users'saving habits and challenges.In contrast, the prototype stage allows for testing design solutions that better align with user expectations. This study also developed a web-based learning application prototype called "Nyelengi", which aims to assist various groups in managing personal finances. The prototype was evaluated using the System Usability Scale (SUS) to measure the quality of the user experience. The SUS calculation result scored 82,indicating reasonable user satisfaction with the app's interface and functionality. This score suggests that the app design produced through the Design Thinking approach effectively provides a user-friendly, intuitive, and easy-to-use experience. This study indicates that the application of Design Thinking can enhance user satisfaction, promote wider adoption of financial technology, and contribute to the development of more innovative and user-responsive applications
Sistem Pendukung Keputusan untuk Rekomendasi Olahraga Bedasarkan Kondisi KesehatanMenggunakan Metode Analythical Hierarchy Process (AHP) Kemalasari Siregar, Gunayanti; Pujianto; Ridhawati, Eka
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 4 No. 1 (2025): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v4i1.8561

Abstract

Exercise plays a vital role in maintaining physical health. However, selecting inappropriate types of exercise without considering an individual’s physical condition and medical history may lead to injury or worsen existing health problems. This study aims to develop a decision support system (DSS) that provides exercise recommendations based on the user's health condition. The Analytical Hierarchy Process (AHP) method is applied to weigh criteria according to their relative importance. The criteria considered in this study include age,body mass index (BMI), medical history, and physical fitness level. The exercise alternatives analyzed are running, cycling, swimming, yoga, and brisk walking. The AHP calculation results show that certain health conditions are more suitable for specific types of exercise,each with different priority weights. The proposed DSS can provide personalized and targeted exercise recommendations aligned with the user's condition. This system is expected to assist individuals in making safe and effective exercise decisions

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