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Parhusip, Jose Elio; Ginasta, Nava Gia; Hanum, Rahma; Parhusip, Jose Elio; Ginasta, Nava Gia +1 more

JUISI : Jurnal Ilmiah Sistem Informasi 2026 LPPM Universitas Sains dan Teknologi Komputer

Penelitian ini bertujuan: (1) mengembangkan sistem input nilai kinerja karyawan agar lebih akurat dan efisien; (2) merancang Entity Relationship Diagram (ERD) dan struktur basis data untuk mendukung pengolahan data karyawan; serta (3) membangun backend sistem dengan autentikasi dan otorisasi berbasis peran. Ruang lingkup mencakup pengelolaan data kinerja individu yang sebelumnya dilakukan secara manual menggunakan spreadsheet dan rentan terhadap kesalahan input. Metode yang digunakan meliputi pengumpulan data kinerja kuartal kedua, perancangan ERD, serta pengembangan backend web application IHSAN POS menggunakan JavaScript dan framework Express yang terintegrasi dengan PostgreSQL, DBeaver, dan Prisma ORM. Implementasi keamanan dilakukan melalui middleware validasi input, sanitasi data, perlindungan dari serangan SQL injection dan XSS, serta pengelolaan sesi menggunakan enkripsi JWT (JSON Web Token). Sistem yang dikembangkan mencakup enam fitur terintegrasi: Halaman Login, Halaman Profil, Formulir Edit Profil, Halaman Nilai Kinerja Individu dan Kontrak Kerja, Formulir Kontrak Kerja, serta Pratinjau Surat Kontrak Kerja. Hasil pengembangan menunjukkan bahwa sistem backend yang dibangun mampu meningkatkan efisiensi proses evaluasi kinerja, memperbaiki integrasi data, serta mempermudah validasi dan pelaporan secara digital dan terstruktur. Kesimpulannya, pengembangan sistem ini memberikan kontribusi signifikan dalam peningkatan efisiensi, akurasi, dan transparansi evaluasi kinerja karyawan, serta mendukung pengambilan keputusan strategis terkait insentif dan pengembangan karier pegawai.

Ahmad Asyhadi; Mery Mery; M Tegas Amril

Prosiding Seminar Nasional Ilmu Teknik 2025 Asosiasi Riset Ilmu Teknik Indonesia

Managing Regional Public Service Agency (Badan Layanan Umum Daerah/BLUD) hospitals requires planning and budgeting processes that are accountable, measurable, and aligned with service performance. In practice, BLUD planning is still constrained by fragmented applications (hospital information system/SIMRS, finance, human resources, e-office, and procurement), duplicate data entry, approval delays, and limited monitoring of process compliance. This study aims to analyze requirements and design a web-based BLUD planning information system using an Enterprise Application Integration (EAI) approach through middleware to improve cross-system interoperability, data consistency, and the timeliness of executive reporting. The study adopts the Design Science Research (DSR) framework, comprising problem identification, definition of solution objectives, artifact design and development, demonstration, evaluation, and communication/report writing. The proposed system includes a unit-based budget proposal module and item management, a role-based approval workflow (RBAC) with SLA tracking, a budget ceiling (pagu) master to benchmark proposals, audit trails and report exports, and an executive dashboard integrating budget perspectives, service indicators (e.g., bed occupancy rate/BOR and patient visits), and process compliance. It also provides an integration design via middleware (ESB/message broker) supported by a canonical data model (CDM) and traceable logging (trace_id/correlation_id). Evaluation using black-box testing and API contract testing indicates that the main planning workflow operates as intended and the integration interfaces are consistently defined, providing a foundation for staged implementation and further performance evaluation.

Unang Achlison; Khoirur Rozikin; Fujiama Diapoldo Silalahi; Yogiswara

Jurnal Elektronika dan Komputer 2022 STEKOM PRESS

Almost every house already uses a Wifi network as internet access. With the help of this Wifi network, it is used as Middleware that can be controlled and monitored when outside the home. This study engineered data packet traffic using the ESP8266 wifi module on the Middleware device network to find out how fast the data packet capture time using wifi can be controlled and monitored when outside the home. Based on the analysis, the measurement results on the IoT device network to find out how fast the data time using wifi it reaches 2.95 kbps to 7.4 kbps.