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Sistem Informasi Geografis (SIG) Pemetaan Kost-Kosan Menggunakan Metode Formula Haversine Sa’ad, Muhammad Ibnu; Surahmanto, Muhammad; Soemari, Muhammad Rizki Pratono; K, Kusrini; Mustafa, M. Syukri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.014 KB) | DOI: 10.30645/j-sakti.v4i1.187

Abstract

Geographic Information System ia a geospatial software system that has the ability to build, store, manage and display geo-referenced information, for example data that is identified by location. By using GIS, it is expected that it will be easier for prospective students and students to find out the location of boarding houses that are located around the campus of Mulawarman University. The system development method uses the waterfall method. While the system design method uses UML (Unified Modelling Language) to visualize, determine, develop and document a software system. The algorithm used in this study uses the haversine formula which will later help to find the nearest boarding house location around the campus of Mulawarman University, the haversine formula will produce the shortest distance between two points, for example on a ball taken from the longitude and latitude. The result of this study will disply detailed boarding location information, besides that on this geograpihic information system the user will later be able to see the details of boarding and admin data can change, add data to the boarding owner and be technically responsible for the running of the application, while the boarding owner is only responsible on managing boarding data on their respective users.
Sistem Informasi Geografis (SIG) Pemetaan Kost-Kosan Menggunakan Metode Formula Haversine Sa’ad, Muhammad Ibnu; Surahmanto, Muhammad; Soemari, Muhammad Rizki Pratono; K, Kusrini; Mustafa, M. Syukri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i1.187

Abstract

Geographic Information System ia a geospatial software system that has the ability to build, store, manage and display geo-referenced information, for example data that is identified by location. By using GIS, it is expected that it will be easier for prospective students and students to find out the location of boarding houses that are located around the campus of Mulawarman University. The system development method uses the waterfall method. While the system design method uses UML (Unified Modelling Language) to visualize, determine, develop and document a software system. The algorithm used in this study uses the haversine formula which will later help to find the nearest boarding house location around the campus of Mulawarman University, the haversine formula will produce the shortest distance between two points, for example on a ball taken from the longitude and latitude. The result of this study will disply detailed boarding location information, besides that on this geograpihic information system the user will later be able to see the details of boarding and admin data can change, add data to the boarding owner and be technically responsible for the running of the application, while the boarding owner is only responsible on managing boarding data on their respective users.
Studi Perbandingan Metode MABAC dan WASPAS dengan Pembobotan ROC dalam Sistem Pendukung Keputusan Pemilihan Supplier Terbaik Pratiwi, Heny; Sa’ad, Muhammad Ibnu; Hasiholan, Jundro Daud
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7278

Abstract

The selection of the right supplier is a crucial factor in the supply chain to ensure product quality, cost efficiency, and timely delivery. This study aims to determine the best supplier by comparing two multi-criteria decision-making methods: Multi-Attributive Border Approximation Area Comparison (MABAC) and Weighted Aggregated Sum Product Assessment (WASPAS). Five key criteria were used in the evaluation: product quality, price, delivery punctuality, service and responsiveness, and reputation and trust. The analysis results show that PT. Indo Makmur (A1) consistently ranked first in both methods, with the highest scores of 0.456 (MABAC) and 0.982 (WASPAS), making it the recommended supplier. PT. Sukses Bersama (A7) and PT. Cahaya Abadi (A3) ranked second and third in both methods, indicating good performance. Meanwhile, UD. Sentosa Jaya (A4) ranked the lowest in both methods, suggesting that this supplier is less competitive than the other alternatives. The comparison of results between MABAC and WASPAS methods demonstrates ranking consistency, confirming that both methods can be reliably used in decision-making. This study provides data-driven recommendations for companies in selecting the best supplier, thereby enhancing supply chain efficiency and supporting long-term business strategies.