Claim Missing Document
Check
Articles

Found 3 Documents
Search

Sistem E-Commerce Indekost Terintegrasi dengan Web Geographic Information System Tari, Gunawan; Putri, Iin Karmila; Jumardi, Andi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 4 (December 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i4.1279

Abstract

Currently, students and the public in searching for boarding house information only rely on information from friends, relatives or manual searches to find the availability of boarding houses. Currently, the availability of information service platforms for boarding houses is now numerous, especially those based on websites and Android-based. Boarding house information services based on websites and Android-based only provide general information related to boarding house information, but are not able to provide comprehensive information. The purpose of this study is to contribute to the field of information technology through innovation in the development of an e-commerce platform Indekost integrated with the Web Geographic Information System that can help improve information accessibility, facilitate the boarding house search process and ultimately increase user satisfaction in choosing boarding houses that suit their needs. The type of research used is Research and Development (R&D) using the waterfall development model. The results of this study were able to produce an e-commerce application product Indekost that is able to integrate with the Web Geographic Information System. The results of black-box testing showed that all menus can function properly and according to expectations. The results of expert testing and user testing obtained a final score of 3.8, meaning the assessment falls into the very appropriate category.
Sistem E-Commerce Indekost Terintegrasi dengan Web Geographic Information System Tari, Gunawan; Putri, Iin Karmila; Jumardi, Andi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 4 (December 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i4.1279

Abstract

Currently, students and the public in searching for boarding house information only rely on information from friends, relatives or manual searches to find the availability of boarding houses. Currently, the availability of information service platforms for boarding houses is now numerous, especially those based on websites and Android-based. Boarding house information services based on websites and Android-based only provide general information related to boarding house information, but are not able to provide comprehensive information. The purpose of this study is to contribute to the field of information technology through innovation in the development of an e-commerce platform Indekost integrated with the Web Geographic Information System that can help improve information accessibility, facilitate the boarding house search process and ultimately increase user satisfaction in choosing boarding houses that suit their needs. The type of research used is Research and Development (R&D) using the waterfall development model. The results of this study were able to produce an e-commerce application product Indekost that is able to integrate with the Web Geographic Information System. The results of black-box testing showed that all menus can function properly and according to expectations. The results of expert testing and user testing obtained a final score of 3.8, meaning the assessment falls into the very appropriate category.
Monitoring Illegal Fishing Memanfaatkan Data Penginderaan Jauh Dengan Discrete Cosine Transform Dan Neural Network Backpropagation Tari, Gunawan; Parung, Rivanto
Dewantara Journal of Technology Vol. 1 No. 1 (2020)
Publisher : Akademi Teknologi Industri Dewantara Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59563/djtech.v1i1.5

Abstract

Indonesia merupakan salah satu negara dengan luas lautan terbesar, sehingga dibutuhkan waktu yang tidak singkat dan tenaga yang tidak sedikit untuk mengawasi seluruh perairan Indonesia terutama untuk pengawasan perairan Indonesia dari kegiatan Illegal Fishing. Oleh karena itu pemanfaatan penginderaan jauh untuk kegiatan monitoring bisa menjadi solusi yang tepat. Monitoring kegiatan illegal fishing dilakukan dengan metode Discrete Cosine Transform untuk melakukan pendeteksian kapal dan Neural Network Backpropagation untuk analisa dan pengenalan pola-pola kapal yang melakukan illegal fishing. Pendeteksian kapal dengan Discrete Cosine Transform melalui indeks RGB kapal dari citra satelit. Dalam pengujian Discrete Cosine Transform sudah menunjukkan kemampuan untuk melakukan deteksi kapal di perairan Indonesia hingga kapal dengan ukuran <10 meter.