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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Wilayah dan Lingkungan Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Journal of Artificial Intelligence and Digital Business Journal of Education Technology and Information System
Fatwa Ramdani, Fatwa
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Road surface classification based on LBP and GLCM features using kNN classifier Arthur Ahmad Fauzi; Fitri Utaminingrum; Fatwa Ramdani
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.28 KB) | DOI: 10.11591/eei.v9i4.2348

Abstract

Autonomous Ground Vehicle (UGV) technology has shown a fast development this past year and proven to be useful. The use of UGV technology is restricted on a particular road condition. Classification of the road is an essential process in UGV, especially to control the autonomous vehicle. For example, the speed could be adjusted by referring to the road type, these process require a fast computational time. This research focuses on finding the most discriminant feature while keeping the number of features into a minimum to obtain fast computational time and accurate classification result. One can experiences difficulties because the condition of the road varies, this research proposes a combination of Gray Level Co-occurrence Matrix (GLCM) a statistical method to extract feature and Local Binary Pattern (LBP) feature to improve the robustness of the features. The kNN classifier is used to do the classification with the accuracy of 98% and 12 picture processed per second.
Analisis Kerentanan Pencemaran Air Tanah di Kota Batu Menggunakan Analisis Multikriteria Spasial dengan Indeks DRASTIC Luhur Akbar Devianto; Novia Lusiana; Fatwa Ramdani
Jurnal Wilayah dan Lingkungan Vol 7, No 2 (2019): August 2019
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jwl.7.2.90-104

Abstract

Groundwater and surface water are important sources of clean water which require an effective management. The use of groundwater and spring as exemplified by Batu City case – as part of Brantas watershed upstream – serves as raw water as well as clean water source for Batu City and Malang City population. Contamination of surface water and groundwater affects clean water supply as indicated by increasing nitrate, TDS, and E. Coli concentration. The study aims to analyze the vulnerability level of groundwater contamination by using spatial multicriteria analysis with DRASTIC index. The DRASTIC index is measured from some parameters such as surface water depth to water table, net recharge, aquifer media, soil media, topography, impact of vadose zone, and hydraulic conductivity to evaluate groundwater vulnerability. The results show that Batu City performs low vulnerability (86.93%) and medium vulnerability (13.07%) levels. The dominant factors affecting the level of vulnerability are groundwater levels, slope, and geological conditions across regions. Even though the DRASTIC modelling cannot specify the contamination levels of the different sources, this method is useful to identifying high-level contaminated land uses, managing water resources, and conserving groundwater sources.
The Effect Of Mobile Map With Geospatial Technologies On The Development Of Blind Disabilities’s Spatial Relational Thinking Muhammad Erwin Amrullah Amrullah; Fatwa Ramdani; Herman Tolle
Journal of Information Technology and Computer Science Vol. 7 No. 1: April 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202271307

Abstract

Orang tunanetra mungkin mengalami masalah saat berkunjung dari satu tempat ke tempat lain. Satu masalah umum yang mereka hadapi adalah mereka kesulitan membiasakan diri dengan tempat-tempat yang mereka kunjungi. Bagi masyarakat pada umumnya, masalah tersebut dapat diatasi dengan menggunakan peta. Kendati demikian, solusi penyandang tunanetra seperti itu mungkin bukan solusi terbaik karena peta yang bisa digunakan oleh tunanetra tersebut adalah peta taktil. Peta taktil memiliki banyak kekurangan, salah satunya adalah sulitnya mendapatkan update ketika terjadi perubahan pada area karena peta taktil belum terdigitalisasi untuk aplikasi mobile. Oleh karena itu, perlu dibuat peta berbasis aplikasi mobile untuk memudahkan penyandang tunanetra. Penelitian ini akan memfokuskan pada peta digital yang dapat diakses melalui aplikasi mobile dengan pendekatan Extreme Programming (XP) serta studi kasus yang dilakukan di Universitas Brawijaya. Peta digital yang dikembangkan nantinya akan diujicobakan kepada responden untuk diuji kelayakannya sehingga dapat membantu meningkatkan pemahaman spasial para penyandang tunanetra khususnya di wilayah Universitas Brawijaya. Lebih penting lagi, diharapkan dapat membantu para penyandang tunanetra di sekitar Universitas Brawijaya untuk membiasakan diri dengan lingkungan sekitarnya.
Comparing and Analysis of Geospatial Interpolation Prediction Algorithm: Case Study The Quality of Education of Malang and Batu City, Indonesia Erik Yohan Kartiko; Fatwa Ramdani; Fitra Abdurrachman Bachtiar
Journal of Information Technology and Computer Science Vol. 7 No. 1: April 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202271373

Abstract

Abstract. The number of schools in Indonesia continues to grow. This must also be balanced with improving the quality of education in accordance with the objectives of the 4 SDGs, which as a whole are to improve the quality of education that is inclusive, equitable and provides lifelong learning opportunities. However, until now it is very difficult to determine differences in the quality of education in an area. From the problem of education quality and education equity, it is necessary to have a regional analysis of the quality of education. This analysis can be performed using various geospatial interpolation methods. Geospatial Interpolation is a technique to find the value of a missing variable in a known data range in an area. The data used for the Geospatial interpolation process in this study are School Quality data taken through research questionnaires, as well as school accreditation data at the junior high school level. The geospatial interpolation method used in this study is the Inverse Distance Weighted, Spline, Kriging and Natural Neighbor methods. The use of different interpolation methods can indicate the best method for this research case study. Measurement validation results from each geospatial interpolation method using RMSE. From the results of this accuracy validation, the most accurate method will be obtained in determining the quality of education contained in an area.
Responding to Natural Disasters on Twitter Social Media to Comparative Analysis of User Behavior and Geospatial Information Content in Indonesia and the United States Muhammad Naufal Yaasir; Fatwa Ramdani; Eko Setiawan
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381400

Abstract

Disasters are a series of events that threaten, disrupt people's lives and livelihoods which are caused by natural, non-natural and human factors, resulting in casualties, environmental damage, losses and psychological impacts. Natural disasters have prompted Twitter social media users to upload information about the conditions of areas affected by natural disasters in pictures or only text of the disaster site. At that time, the researcher proposed to analyze the behavior of Twitter social media users towards education levels in Indonesia and the United States. This research provides an overview of the facts about the content shared on Twitter social media, and provides a solution for the extraction of geospatial content on Twitter social media. From the processing of data from Twitter social media, it can be seen that there is no difference in the relationship between Twitter social media users and education levels in Indonesia and the United States and more geospatial information content in the United States than in Indonesia.
Pembangunan Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGis: STUDI KASUS : OUTLET MCDONALD'S CABANG WATU GONG, MALANG Adzanil Rachmadi P; Fatwa Ramdani; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 1 (2017): Januari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1050.213 KB)

Abstract

Perusahaan McDonald's adalah perusahaan yang bergerak dalam bidang penjualan makanan cepat saji. McDonald's Indonesia memiliki cabang atau outlet yang tersebar di berbagai daerah di Indonesia. Salah satu outlet yang dimiliki McDonald's Indonesia yaitu outlet McDonald's cabang Watu Gong, Malang. Seperti outlet-outlet yang lain, salah satu jenis layanan yang ada pada outlet McDonald's cabang Watu Gong, Malang adalah delivery order. Tiap-tiap outlet memiliki Kelurahan yang menjadi batasan area pelayanan untuk jenis layanan Delivery Order. Beberapa pelayanan yang kurang baik, membuat pelanggan merasa kurang puas akan menyebabkan pelanggan melakukan komplain. Saat ini, outlet McDonald's cabang Watu Gong, Malang membutuhkan sebuah sistem informasi geografis berbasis web yang dapat menampilkan jumlah komplain pada kelurahan tertentu berdasarkan kategori komplain, dan sistem yang juga dapat menampilkan chart untuk mengetahui waktu yang paling sering digunakan pelanggan dalam melakukan komplain, tentunya berdasarkan kategori komplain. Tujuan dibangunnya Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGIS agar pihak outlet McDonald's cabang Watu Gong, Malang dapat mengetahui informasi mengenai jumlah komplain dan waktu komplain lebih dini. Pada akhirnya, pihak outlet McDonald's cabang Watu Gong, Malang dapat mengevaluasi dan melakukan perbaikan terhadap kualitas pelayanan agar lebih adaptif serta lebih cepat berasarkan informasi yang didapat dari Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGIS. Dengan adanya Sistem Informasi Manajemen Keluhan Peanggan Berbasis WebGIS, diharapkan komplain yang terjadi dapat dikurangi hingga tidak ada komplain atau zero complaint. Dengan Sistem Informasi Manajemen Keluhan Pelanggan Berbasis WebGIS, maka pihak outlet McDonald's cabang Watu Gong, Malang telah menerapkan konsep dari Analytical Customer Relationship Management (CRM), yang berarti mendapatkan, mengekstrak, memproses, dan melaporkan data yang terkait dengan pelanggan yang nantinya menjadi acuan dalam pengambilan sebuah keputusan.
Implementasi WebGis Untuk Inventarisasi Pulau: STUDI KASUS PULAU LOMBOK, NTB Adi Nugroho; Fatwa Ramdani; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 1 (2017): Januari 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1105.185 KB)

Abstract

Keseimbangan lahan adalah menjadi salah satu pertimbangan bagi pengembang khususnya pemerintah untuk mengembangkan suatu lahan. Lombok merupakan daerah yang mempunyai potensi tinggi untuk berkembang ditandai dengan meningkatnya pengunjung Pulau Lombok dari tahun ketahun dan akses bagi wisatawan asing dipermudah dengan telah dibangunnya bandara udara international. Perkembangan tersebut berakibat bertambahnya bangunan dipulau Lombok dan jika pembangunan tersebut tidak dikelola dengan baik maka akan ada lahan yang terancam. Dengan adanya masalah yang seperti dijelaskan, penelitian ini mengangkat judul tentang implementasi webGIS untuk inventarisasi pulau(Studi Kasus Pulau Lombok, NTB) yang nantinya akan membantu untuk memberikan informasi luas lahan yang bisa dijadikan acuan dalam pengembangan lahan atau pembangunan. penelitian ini menggunakan metode semi automatic classification plugin(SAP) dimana SAP ini adalah sebuah plugin pada aplikasi QuantumGIS untuk mengklasifikasi lahan dimana data utama untuk diklasifikasikan adalah data landsat yang dapat di unduh pada alamat usgs.earthexplorer.gov secara gratis. Data yang sudah diklasifikasikan akan ditampilkan dengan webGIS. Data hasil klasifikasi tersebut sebelum ditampilkan kedalam webGIS diuji terlebih dahulu dengan menggunakan bantuan google earth dimana google earth ini menjadi data acuan yang akan dibandingkan dengan data hasil klasifikasi. Hasil dari penelitian ini adalah berupa sistem inventarisasi Pulau Lombok berbasis webGIS.
Perancangan Arsitektur, Pembangunan Web-GIS, dan Analisis Kesesuaian Lahan Pertanian Tanaman Padi Menggunakan Metode GIS-MCDA di Kota Batu Amaliah Khoirun Nisyak; Fatwa Ramdani; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (982.019 KB)

Abstract

Agriculture still plays an important role in the economy in the Batu City. In addition to horticultural plants, the Batu City is also a producer of rice plant though not many areas planted with rice. According to the results of the interviews from the Department of Agriculture and Forestry of Batu City, within one year, the land planted with rice only once or twice that should be done 3 times. It is because the farmers do not know the land is actually appropriate or not for rice plant. Department of Agriculture and Forestry of Batu City currently does not yet have data related to whether the land is actually appropriate or not for planting rice. The data is required, so it can be used as a reference in managing agricultural land. To get the results of the land suitability, this study will apply the methods of GIS-MCDA (Multi Criteria Decision Analysis), which used the 9 criterias that affect the suitability of the land and the results will be applied in Geographic Information Systems (GIS) based on the web. GIS based on the web (Web-GIS) is built according to the architectural design. Web-GIS architecture consists of 3 layers, i.e. the Client Layer, Service Layer, and Layer Support. Based on the results of land suitability analysis, this research get 4 results of land suitability class i.e., S1, S2, S3, and NS. Total area of suitability class S1 is 739.42 ha with percentage 3.7%, total area of suitability class S2 is 7375.91 ha with percentage 37%, total area of suitability class S3 is 3706.20 ha with percentage 18.6%, and total area of suitability class NS is 8120.02 ha with percentage 40.7%.
Rekonstruksi 3 Dimensi dari Video menggunakan Metode Structure-From-Motion (Studi Kasus: Wilayah Pertambangan Batubara) Rimba Anditya Kurniawan; Fatwa Ramdani; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1020.771 KB)

Abstract

Indonesia is a country that have a massive natural resources for producing coal. With total 466.307.241 ton in 2012, Indonesia archive third place world level as the most producer coal. For manage coal mining sites, management process very needed. The mine management process can be done with 3-dimensional point clouds reconstruction using the Structure-of-Motion Method (SfM). To build structure from overlapping of many images by using photogrammetry techniques use SfM algorithm. When acquisition image data, sometimes get a failure of automatic camera trigger and lack of density between images. This study uses video data from UAVs flown over mining areas to record all mining activities. Video data predicted can reduce errors during image capture and increase the overlap value between successive images and increase the number of cloud points. The output on the software is tested using the Simple Regression method. This study shows that input video data with 1 minute duration and 90% overlap value can produce 2910 point cloud. The Simple Regression test result an F value of 12,408. It shows that the greater value of overlap, can produce a lot number of points cloud.
Sistem Informasi Geografis Kesesuaian Lahan Perumahan di Kota Malang menggunakan Metode MCE Muhammad Hadi Selamet Hariyanto; Fatwa Ramdani; Mochamad Chandra Saputra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1256.116 KB)

Abstract

This research is applying Multi-Criteria Evaluation (MCE) method to analyze the land suitability of residential in Malang. Criteria such as safety, convenience, and compatibility are used in this research based on Indonesia National Standard procedure of housing environment planning in urban area. There are two MCE techniques that are used; those are WLC and OWA techniques. Both techniques are giving different results, and the closest result to the reality is the OWA technique. Then the results of both techniques are validated using ROC analysis method. The percentage of the OWA model is showing 79%, while WLC model is only showing 67%. Then, WLC and OWA models are incorporated into geographic information systems that have been tested using Black-box and White-box methods in order to make the Malang's society can access it
Co-Authors Achmad Joddy Chandra Alfani Adi Nugroho Aditya Rachmadi Adzanil Rachmadi P Agung Setia Budi, Agung Setia Ahmad Arif Saputra Ahsanun Naseh Khudori Alfi Nur Rusydi Amaliah Khoirun Nisyak Andito Wahyudi Andrian Santiyon Arinda Rachman Arthur Ahmad Fauzi Aryo Pinandito Ayu Meilinda Puspitasari Bondan Sapta Prakoso Budi Darma Setiawan Cendi Tito Rahman Cendy Nelasari Claus Asido Pioraja Deflion Yussac Sahlan Dennie Novandhika Deny Prasetia Taruma Wardana Diah Priharsari Diky Dwi Junianto Djoko Pramono Edo Fadila Sirat Eko Setiawan Estrisantya Irsyadi Azzahrah Fahrudin Wahabi Faisal Akmal Faizatul Amalia Fajar Pradana Farhah Annisa Jamal Firdaus Farid Azhari Farid Khatibul Umam Fathin Naufal Hawi Fauzan Anwari Alkhasani Fitra Abdurrachman Bachtiar Galih Alhakim Gibranda Gibranda Hanifa, Salihati Hanifah Muslimah Az-Zahra Herman Tolle Ida Nurmawati, Ida Ilham Maulana Ubaidillah Ishak Robin Simorangkir Ismiarta Aknuranda Ismiarta Aknuranda Issa Arwani Jeysen Immanuel Wenas Johan Nur Rokhman Kartiko, Erik Yohan Komang Candra Brata Kriswibowo, Rony Lestantyo, Prayudi Luhur Akbar Devianto Lukas Sada Arihta Sinulingga M. Syauqi Haris Machrus Alawi Malik Fajar Mega Yuda Rukmana Mochamad Chandra Saputra Muhammad Arif Muhammad Erwin Amrullah Amrullah Muhammad Hadi Selamet Hariyanto Muhammad Naufal Yaasir Muhammad Rahmahalim Muhammad Tanzil Furqon Mukhamad Misbakh Alif Musthafawi, Aulia Zahra Nadya Gita Chayani Novia Lusiana Oddy Aulia Rahman Nugroho Oki Ari Saputra Pamuji, Rizky Purnama Anaking Rachmadhi, Adzanil Rachmadhi Putra Ramadhan Abdurrahman Mukhtar Ramadhan Eka Prana Putera Retno Indah Rokhmawati Rimba Anditya Kurniawan Rizqy Anwar Hidayatullah Roudhotul Ridho Akbar Sabda Norman Hayat Sari, Heni Vidia Satrio Agung Wicaksono Satrio Hadi Wijoyo Siswahyudi, Puad Supraptoa Supraptoa Supriyanto, Budi Fajar Tri Astoto Kurniawan, Tri Astoto Utaminingrum, Fitri Very Sugiarto, Very Vivin Ayu Lestari Wahyudi, Hafif Bustani Wayan Firdaus Mahmudy Welly Purnomo Zayn, Afta Ramadhan