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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Mahasiswa Sistem Informasi (JMSI) Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Miftahuddin Fahmi
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

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Sistem Informasi Klinik Berbasis Web untuk Pengelolaan Data Pasien dan Konsultasi secara Realtime di Klinik Perawatan Weiku Mohamad Farhat; Triana Harmini; Miftahuddin Fahmi
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10744

Abstract

Klinik Weiku is a healthcare institution that still employs a manual management system, which poses potential risks of data loss and difficulties in data retrieval. This study aims to develop a web-based information system for patient data management and real-time medical consultations by applying the Waterfall development model, which consists of the stages of planning, analysis, design, implementation, testing, and maintenance. The main features of this system include online patient registration and real-time consultation services with medical professionals, with three types of users: doctors, who can view and respond to patient messages; nurses, who manage registration data; and patients, who can register and consult online. The technologies used include ReactJS for the user interface (front-end), NodeJS and ExpressJS for the server side (back-end), and MongoDB as the database, with JavaScript as the primary programming language. The system was evaluated through four testing methods: blackbox testing, media expert testing, material expert testing, and user testing. The results show that all features functioned as planned, with material expert testing achieving an average score of 93.33%, media expert testing 91.11%, and user testing 95.0%. Based on these results, the system is deemed feasible for use as a web-based information system for patient data management and real-time consultation services at Klinik Weiku
Pengembangan Aplikasi Media Pembelajaran Matematika Pecahan Berbasis Android Untuk Siswa Kelas 5 SD dengan Metode Gamifikasi Dwiki Kurniawan; Triana Harmini; Miftahuddin Fahmi
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10745

Abstract

Mathematics learning, especially the topic of fractions, is often a challenge for 5th-grade students. An Android-based mathematics learning Application with gamification elements was developed to address the low interest of these students in the topic of fractions. This research aims to develop a gamified Android-based mathematics learning Application for the topic of fractions. The development methodused the Waterfall Software Development Life Cycle (SDLC) model, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The Application was designed with the integration of gamification features such as levels and challenges to enhance student motivation and understanding. The Application was tested through five stages: black box testing, compatibilitytesting, media expert testing, material expert testing, and user testing. The results of the black box test showed that all features functioned as planned. The functionality test results indicated that the Application can run properly on all devices with at least Android version 11. The media expert testing showed an average of 100%, and the material expert testing also showed an average of 100%. User testing conducted on 20 5 th grade students at MI Ma’arif surodikraman, Ponorogo, showed a very positive outcome. Based on a 1 to 5 rating scale, the average percentage of user satisfaction reached 90.1%, indicating a high level of acceptance. These results show that the Application functions well and is suitable for use.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN OPERASIONAL LAYANAN BERBASIS APLIKASI WEB: STUDI KASUS CV KETAHUN JAYA BENGKULU Salsabila, Yunita Eka; Widya Kurniawan; Miftahuddin Fahmi
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 7 No. 1 (2025): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v7i1.10680

Abstract

Banyak badan usaha yang mengalami kesulitan dalam persaingan pasar. Peran teknologi muncul untuk membantu pertumbuhan bisnis badan usaha, salah satunya manajemen operasioal yang mencakup perencanaan, pengelolaan, dan pengendalian demi menghasilkan produk dan layanan yang memuaskan pelanggan. Penelitian ini bertujuan untuk membantu CV Ketahun jaya yang merupakan badan usaha penyedia layanan internet untuk bersaing dalam pasar dan pertumbuhan bisnis. Metode yang digunakan SDLC model waterfall, model yang cocok untuk pengembangan sistem dengan tahap perngerjaan berurut. Pengujian sistem melibatkan ahli materi, stakeholder dan pengguna. Hasil uji coba menunjukkan bahwa sistem mempoleh nilai 92% dari stakeholder dan 93,4% dari pengguna. Berdasarkan penelitian ini, sistem dinyatakan layak digunakan dan berpotensi diterapkan untuk manajemen operasional CV Ketahun Jaya.
Deteksi Sampah Organik dan Anorganik Menggunakan Model YOLO Berbasis Dataset Roboflow Miftahuddin Fahmi; Faisal Reza Pradhana; Muhammad Daffa Nurahman
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 16, No 2 (2025): Desember
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v16i2.4600

Abstract

Upaya memilah sampah organik dan anorganik di Indonesia masih jauh dari ideal, terutama karena keterbatasan sarana pendukung dan rendahnya partisipasi masyarakat. Kondisi ini menunjukkan perlunya pendekatan yang lebih otomatis agar proses identifikasi jenis sampah tidak sepenuhnya bergantung pada interaksi manusia. Penelitian ini mengeksplorasi kemampuan algoritma deteksi objek YOLOv8 dalam membedakan dua kategori sampah melalui citra. Sebanyak 3.169 gambar dari platform Roboflow digunakan sebagai dataset, kemudian model dilatih menggunakan skema transfer learning dengan bobot awal YOLOv8n pada resolusi 640×640 piksel selama 100 epoch. Kinerja model dinilai menggunakan metrik Precision, Recall, serta mean Average Precision (mAP). Model menghasilkan Precision 0,968, Recall 0,970, mAP@0,5 sebesar 0,986, dan mAP@0,5:0,95 mencapai 0,922. Hasil tersebut mengindikasikan bahwa YOLOv8 mampu melakukan identifikasi objek sampah secara akurat dan stabil, sehingga berpotensi menjadi komponen inti dalam pengembangan sistem pengelolaan sampah berbasis visi komputer di masa depan.
Co-Authors Dwiki Kurniawan Faisal Reza Pradhana Mohamad Farhat Muhammad Daffa Nurahman Salsabila, Yunita Eka Triana Harmini Widya Kurniawan