The Personnel Information System at the Jayapura City Transportation Office aims to increase efficiency and effectiveness in managing personnel data. In today's digital era, manual data management has limitations that affect the speed and accuracy of information. Therefore, a computerized information system is necessary for better management of employee data. This study aims to analyze the implementation of the personnel information system at the Jayapura City Transportation Office, as well as evaluate its impact on personnel administration performance. The methods used in this study include direct observation of the system in use, interviews with staff and system managers, and analysis of the system's effectiveness in improving data management. The system was evaluated in terms of its ability to streamline administrative tasks, facilitate easy access to personnel data, and enhance overall efficiency in managing personnel information. The results of the study indicate that the system has successfully optimized employee data management, improved administrative efficiency, and made access to information faster and more accurate. However, some obstacles were identified, such as the need for further training for staff to use the system optimally and occasional technical issues with system integration. Despite these challenges, the personnel information system has proven to be an essential tool for improving the overall performance of the personnel administration at the Jayapura City Transportation Office. The study concludes with recommendations for further system enhancements and the importance of ongoing staff training to ensure the system's continued success.

Penelitian ini meningkatkan teknik backward chaining untuk diagnosis Demam Berdarah Dengue (DBD) dengan mengintegrasikan algoritma backtracking, dengan tujuan untuk meningkatkan efisiensi penelusuran gejala dan aturan dalam sistem pakar. Hasil eksperimen menunjukkan bahwa penggunaan backtracking secara signifikan mengurangi waktu pemrosesan dibandingkan dengan metode tanpa backtracking. Pada eksperimen yang melibatkan 3 aturan, waktu pemrosesan berkurang dari 168,50 ms menjadi 19,53 ms, sementara untuk 6 aturan, waktu pemrosesan turun dari 161,63 ms menjadi 20,88 ms. Demikian pula, dalam pengujian dengan 10 aturan, waktu pemrosesan menurun dari 161,68 ms menjadi 17,38 ms. Secara keseluruhan, integrasi algoritma backtracking meningkatkan efisiensi penelusuran rata-rata sebesar 88%, terbukti menjadi pendekatan yang sangat efektif, terutama dalam sistem pakar yang memiliki banyak aturan dan gejala.
 
Kata kunci: Backward Chaining, Backtracking, Diagnosis DBD, Efisiensi