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All Journal Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Testing dan Implementasi Sistem Informasi Governance IT Adoption and Technology Advance
Cut Alna Fadhilla
Universitas Samudra
Computer Science & IT Library & Information Science

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Penjadwalan Mata Kuliah Otomatis Menggunakan Algoritma Late Acceptance Hill-Climbing Hyper-Heuristics dengan Domain Permasalahan ITC Cut Alna Fadhilla
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 3 (2024): September 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i3.168

Abstract

The International Timetabling Competition is an international scheduling competition that aims to motivate further research on scheduling issues especially in scheduling in the field of education. In the world of education, scheduling problems have become a topic that is often encountered. One of the scheduling problems found in higher education is scheduling courses. Course scheduling is conducted routinely at the beginning of each semester, in scheduling must pay attention to the allocation of resources contained in the university. Scheduling is a long process, it is because in allocating resources in a scheduling problem must pay attention to various aspects or limits that have been set in order to get optimal results. This problem is classified as a Non-Polynomial hard problem, where there is no exact algorithm to solve it in a polynomial time. In the preparation of this final project subject scheduling is done using a tabu search algorithm - simulated annealing hyper-heuristics. The dataset used is a dataset obtained from the 2019 International Timetabling Competition. The results of this final project are java-based automatic scheduling applications which are expected to help solve problems related to scheduling subjects more optimally, and solutions that are produced competitive with benchmark algorithms.
Perancangan Sistem Informasi untuk Pengelolaan Tindakan Administratif Keimigrasian terhadap Warga Negara Asing pada Kantor Imigrasi Intan Saravina; Cut Alna Fadhilla
Governance IT Adoption and Technology Advance Vol. 1 No. 1 (2026)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/govita.v1i1.10036

Abstract

The development of information technology has encouraged government institutions to improve the effectiveness and transparency of public services, including in the field of immigration. The Class II Immigration Office in Langsa plays an important role in the supervision and enforcement of immigration law against foreign nationals through the implementation of Immigration Administrative Actions (IAA). However, the previous management of IAA data was still carried out manually, which often resulted in delays and errors in recording and reporting processes. To address these issues, a web-based Immigration Administrative Action Information System was designed and developed using the Prototype Model methodology. The system was built using the PHP programming language, MySQL as the database, and implemented on a local XAMPP server. The implementation results indicate that the system is able to facilitate officers in inputting, managing, and compiling reports of administrative actions against foreign nationals in a fast and integrated manner. The simple user interface allows users to operate the system easily without requiring special training. The Class II Immigration Office in Langsa assessed the system as effective in improving administrative efficiency and supporting the digitalization of immigration services. The system is expected to be further developed by incorporating enhanced security features and automated report printing to sustainably support immigration operations.
Optimized Land Surface Low Point Detection Using the D8 Algorithm in a Geographic Information System (GIS) Framework Khairul Muttaqin; Novianda Novianda; Ahmad Ihsan; Dea Ayuni Putri; Cut Alna Fadhilla; Chichi Rizka Gunawan; Chicha Rizka Gunawan; Jefril Rahmadoni
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2205

Abstract

Hydrological analysis in urban areas often suffers from inaccuracies in Digital Elevation Model (DEM) interpretation, especially in detecting micro-depressions and small-scale surface flow patterns. Previous studies typically relied solely on the automatic D8 algorithm in GIS without manual verification, resulting in flow directions that do not fully represent actual surface conditions. This study aims to compare manual D8-based flow direction calculations with automatic ArcGIS processing using DEMNAS data for Langsa City. The DEM (8.1 m resolution) underwent sink filling, hydrological conditioning, slope and aspect processing, followed by field validation using GPS measurements. The results show that the manual method identified 23 flow paths, whereas ArcGIS detected only 11. The differences stem mainly from micro-topographic variations that the automatic algorithm failed to capture in flat areas or anthropogenically modified surfaces. Field validation confirmed that 8 of the 11 ArcGIS-derived paths matched the actual drainage patterns, while the additional manual paths better represented subtle elevation gradients.This research contributes by offering a systematic comparison between manual and automatic D8 approaches, highlighting the importance of manual verification in low-slope urban terrains. The findings are valuable for micro-scale flood mitigation planning and urban surface hydrology analysis.
Co-Authors Ahmad Ihsan Chicha Rizka Gunawan Chichi Rizka Gunawan Dea Ayuni Putri Intan Saravina Khairul Muttaqin Novianda Novianda Rahmadoni, Jefril