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Jusikom : Jurnal Sistem Komputer Musirawas
Published by Universitas Bina Insan Lubuklinggau
ISSN : 25411896     EISSN : 26148714     DOI : https://doi.org/10.32767/jusikom.v9i1
Core Subject : Science,
Computer Science & IT
JUSIKOM is a place of information in the form of research results, literature studies, ideas, application of theory and critical analysis studies in the fields of research in the fields of Computer Systems, Computer Science, and Electronics. Focus and Scope: Embedded system, Intelligent control system, Software engineering, Computer network, Mobile computing, Artificial Intelligent, Internet of Things, and Information system.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 222 Documents
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PENERAPAN ALGORITMA K-NEAREST NEIGHBOR UNTUK KLASIFIKASI TINGKAT KEMATANGAN BUAH ALPUKAT BERDASARKAN WARNA susanti, tri; Sasmita, Sasmita
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 1 (2025): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i1.2603

Abstract

This research develops an avocado fruit ripeness classification system using the K-Nearest Neighbor algorithm based on color feature extraction. Data was collected from 150 Mentega variety avocado samples with three ripeness categories: unripe, semi-ripe, and ripe. The classification process involved image preprocessing, extraction of RGB and HSV color components, and implementation of the KNN algorithm. Results showed the highest accuracy of 95.56% at k=9 using Euclidean Distance metric, with Mean R and Mean H components having the strongest correlation to avocado ripeness levels. The system was successfully implemented with a user-friendly graphical interface, enabling automatic classification with a processing time of 1.2 seconds per image. Compared to other classification methods such as Random Forest and SVM, KNN showed the best performance in modeling avocado color features, offering an effective and efficient solution for the Pagar Alam City Agriculture Department in determining avocado fruit ripeness levels.
PERANCANGAN APLIKASI PENGOLAHAN DATA PENERIMAAN DAN PENGELUARAN KAS PADA PT. PERTAMINA DRILLING SERVICES INDONESIA (PT. PDSI) Carolina, Falentine; Wijaya, Khana; Suparianto, Rishi
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 1 (2025): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i1.2712

Abstract

PT. Pertamina Drilling Services Indonesia (PT. PDSI) is a company that operates in the oil drilling industry and is located at Jalan Jenderal Sudirman No. 03, Prabumulih, South Sumatra. The company has been using Microsoft Excel to record its cash inflows and outflows. However, this method is still prone to errors in data processing, which makes the financial reports less accurate. This research aims to develop a website-based application to make the cash reporting process easier, more accurate, and more efficient. The method used in this research is descriptive and qualitative, including observation, interviews, and literature study. The data comes from both primary and secondary sources. The application is developed using the Rapid Application Development (RAD) method. System design tools such as use case diagrams, class diagrams, and activity diagrams are used. The application is built using PHP and MySQL. With this application, it is expected that PT. Pertamina Drilling Services Indonesia (PT. PDSI) Rig Operation II can manage its cash data more efficiently, and that the company’s leaders can more easily review the financial information.
PERANCANGAN SISTEM KEAMANAN RUMAH BERBASIS RASPBERRY PI UNTUK MENDETEKSI OBJEK BERGERAK Sukma Himawan, Dhimas Arbi; Ladiyan, M. Shafriza; Ramadhanty, Gisanda Aliya; Prastiwi, Dila; Wahyudi Sumari, Arwin Datumaya
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.1724

Abstract

Tindak kejahatan tidak mampu dipisahkan dalam kehidupan sehari-hari lantaran sebuah aksi kejahatan bisa dilakukan kapan saja dan dimana saja, salah satunya aksi kejahatan di dalam tempat tinggal. Kondisi rumah yang sehari-hari ditinggalkan oleh pemiliknya untuk bekerja atau hal lainya membuat seseorang mengalami kesulitan mengawasi tempat tinggal mereka. Tujuan penelitian ini guna merancang sistem keamanan tempat tinggal supaya bisa mengawasi atau memonitoring keadaan tempat tinggal ketika ditinggalkan. Maka dilakukan penelitian dengan membangun sistem keamanan tempat tinggal berbasis Raspberry Pi, perancangan sistem keamanan ini memanfaatkan teknologi Internet of Things (IoT). Sistem keamanan ini dilengkapi menggunakan sensor Passive Infra Red (PIR) untuk mendeteksi adanya gerakan. Ketika sensor Passive Infra Red (PIR) mendeteksi gerakan, maka kamera Raspberry Pi akan mengambil foto, kemudian menganalisa objek yang tertangkap kamera dan jika objek tersebut mencurigakan maka Raspberry Pi akan mengirimkan foto objek yang terdeteksi tersebut pada pengguna melalui Telegram Messenger. Bot Telegram Messenger akan menunjukkan dua fitur yang bisa dipiih pemilik tempat tinggal, yaitu mengambil foto atau video. Saat gambar terkirim Raspberry Pi membunyikan speaker yang menjadi alarm peringatan.
RANCANG BANGUN APLIKASI PENDAFTARAN MEDICAL CHECK-UP PADA RUMAH SAKIT PERTAMINA PRABUMULIH dinata, yoga; ., Muchlis; ., Nurmayanti
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2739

Abstract

Rumah Sakit Pertamina Prabumulih merupakan fasilitas pelayanan kesehatan yang menyediakan layanan pemeriksaan kesehatan bagi masyarakat umum dan karyawan perusahaan. Proses pendaftaran dan pengelolaan biaya pemeriksaan kesehatan yang masih manual menimbulkan berbagai tantangan, seperti inefisiensi waktu, potensi kesalahan pencatatan, dan kurangnya transparansi informasi bagi pasien. Penelitian ini bertujuan untuk merancang dan membangun aplikasi berbasis web yang dapat mempermudah proses pendaftaran dan pengelolaan biaya pemeriksaan kesehatan secara digital. Metode pengembangan sistem yang digunakan adalah model waterfall, dimulai dengan tahap analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Hasil dari penelitian ini adalah aplikasi yang memiliki fitur pendaftaran online, pemilihan jenis pemeriksaan kesehatan, perhitungan biaya otomatis, dan notifikasi pasien. Pengujian sistem dengan metode black box menunjukkan bahwa seluruh fungsi aplikasi berfungsi dengan baik sesuai dengan kebutuhan pengguna. Aplikasi ini diharapkan dapat meningkatkan efisiensi pelayanan, mengurangi kesalahan administrasi, serta memberikan kemudahan dan kenyamanan baik bagi pasien maupun petugas rumah sakit. Kata kunci: pemeriksaan kesehatan, aplikasi pendaftaran, biaya layanan, rumah sakit, sistem informasi
PENERAPAN KEAMANAN PINTU MENGGUNAKAN TAG E-CARD BERBASIS MIKROKONTROLER Purwanto, Timur Dali; Andina, Debby Ayu
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2740

Abstract

Kemajuan teknologi telah memungkinkan pengembangan sistem keamanan yang lebih modern dan efisien, salah satunya dalam pengelolaan akses pintu ruangan. Sistem penguncian konvensional masih memiliki berbagai keterbatasan, seperti risiko kehilangan kunci, duplikasi kunci, serta kurangnya pemantauan akses secara real-time. Penelitian ini bertujuan untuk merancang dan menerapkan sistem keamanan pintu menggunakan tag e-Card berbasis teknologi NFC guna meningkatkan efisiensi dan keamanan akses ruangan. Sistem ini menggunakan dua sensor NFC PN532 yang ditempatkan pada pintu masuk dan pintu keluar untuk membaca identitas pengguna melalui e-Card. Arduino Nano digunakan sebagai kontrol utama dalam memproses data, sementara NodeMCU ESP8266 berfungsi sebagai penghubung antara sistem dan server web untuk penyimpanan data akses secara real-time. Selain itu, penelitian ini juga menguji apakah ID Card Dosen Universitas Bina Darma dapat dimanfaatkan sebagai kunci akses ruangan. Hasil pengujian menunjukkan bahwa sistem ini mampu mencatat dan memantau akses ruangan secara akurat serta memberikan kemudahan dalam pengelolaan data akses. Dengan penerapan sistem ini, keamanan ruangan dapat ditingkatkan dengan mengurangi risiko penyalahgunaan akses dan memungkinkan pemantauan akses secara lebih efektif dan efisien.
PEMANFAATAN TEKNOLOGI QR CODE UNTUK MENINGKATKAN EFISIENSI PEMESANAN MENU (STUDI KASUS KEDAI MATMOEN, BOYOLALI) Apriliansyah, Fajri; Hidayat, Ahmad Tri
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2754

Abstract

Kedai Matmoen is a culinary business that faces challenges in digitalizing its service process. Currently, the ordering system is still conducted manually, leading to long queues, order recording errors, and reduced operational efficiency. This study aims to develop an interactive web-based ordering system equipped with a QR Code feature, allowing customers to place orders directly from their tables without staff interaction. The research methods include needs analysis, system design using UML, implementation with the Laravel framework, and testing using the black-box method. The results show that the system can reduce customer waiting time, improve order accuracy, and speed up the payment process. The implementation of this system is proven to effectively enhance operational efficiency and improve the customer experience, thereby supporting the digitalization of culinary businesses.
SISTEM PELAPORAN KEBAKARAN PINTAR DENGAN DETEKSI LOKASI DAN VALIDASI BUKTI VISUAL OTOMATIS Sanjaya, Anas; Widiono, Suyud
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2771

Abstract

Fire is a disaster that requires a fast, accurate, and integrated reporting system to be managed effectively. However, the manual reporting process often causes delays in information delivery, limited verification, and a lack of visual evidence. This research aims to develop a web- and mobile-based fire reporting application using the Waterfall development method. The application integrates GPS to automatically detect incident locations and includes a visual evidence upload feature to improve reporting accuracy. Black-box testing results show that all features work properly and meet user requirements. The system accelerates the reporting process from approximately 15 minutes to 2 minutes, facilitates report verification, and provides real-time notifications to officers. The findings indicate that this fire reporting application is a practical digital solution to improve fire management efficiency and has strong potential for broader implementatio
PENERAPAN PENGENALAN WAJAH PADA APLIKASI PRESENSI SISWA BERBASIS MOBILE DENGAN NOTIFIKASI LANGSUNG ORANG TUA Arrahma, Regita Cahya; Asriningtias, Yuli
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2777

Abstract

Manual attendance methods are prone to data loss, delayed recap, and misrecording. This study designs and implements a mobile attendance application based on face recognition with notifications to parents. The system is built with Flutter, Google Machine Learning (ML) Kit for face identification, Firebase Firestore for data storage, and Gmail Simple Mail Transfer Protocol (SMTP) for email delivery. The application was developed using the Waterfall method and verified through black-box testing. The results show that the main features real-time face attendance, attendance time restrictions, attendance logging, and automatic notifications operate according to specifications. This improves data accuracy, transparency of reporting to parents, and the work efficiency of homeroom teachers compared to manual methods. These findings support the feasibility of implementing face recognition in elementary schools while maintaining data privacy and security.
OPTIMALISASI APLIKASI MANAJEMEN KEUANGAN PRIBADI DENGAN SISTEM BUDGETING OTOMATIS BERBASIS MOBILE Nugroho, Pramudiyanto; Asriningtias, Yuli
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2786

Abstract

Users of personal finance applications frequently encounter difficulties in consistently documenting their daily transactions, the potential for inaccuracies in record-keeping, and a limited comprehension of budget distribution and spending behaviors. These challenges can result in financial disarray, excessive spending, and obstacles in saving planning. To mitigate these problems, an Android-based personal finance application has been developed, which incorporates both manual and automated transaction entry through Optical Character Recognition (OCR), automatic categorization of budgets into segments such as necessities, savings, and emergency funds, as well as intelligent alerts when budget limits are approached or when users have failed to log their daily transactions. Furthermore, the application offers engaging financial reports presented in graphical and tabular formats. Users also have the capability to export these reports in PDF format. Results from Blackbox testing demonstrate that all functionalities operate as intended, establishing this application as an efficient tool for assisting users in managing their finances in a more organized and responsive way.
STRATEGI MITIGASI KEBAKARAN HUTAN DAN LAHAN BERBASIS AI DI RIAU Ali, Edwar; Djahara, Khairani; Pradewanta, Rian
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2833

Abstract

Forest and land fires (Karhutla) are a significant environmental threat in Riau Province with substantial ecological, health, and economic impacts. This research develops an integrated artificial intelligence (AI)-based application for Karhutla mitigation. The method uses a quantitative approach with a system development design. The dataset includes 87,600 spatiotemporal data items (2020-2024) from MODIS/VIIRS, BMKG, and Sentinel-2. Machine learning models (Random Forest and XGBoost) were trained on the data for real-time hotspot prediction. The XGBoost model achieved an accuracy of 91.2% (AUC 0.871), outperforming RF (88.1%, AUC 0.847). The results are integrated into a Geographic Information System through three main modules: (1) Prediction and Visualization, (2) Early Warning, and (3) Reporting and Analysis. A usability test involving 15 field users resulted in a System Usability Scale score of 82.5 (Excellent). A 4-week implementation pilot achieved a detection rate of 88.9% and a suppression rate of 86.7%, reducing the response time from 4.2 hours to 1.1 hour. The application integrates solutions for real-world AI challenges: model drift (automated retraining), black box (SHAP interpretability), and knowledge gap (training program). The research demonstrates AI technology for disaster mitigation operations with an ROI of 480% and an (investment) payback period of 10.3 months.

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