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All Journal JUITA : Jurnal Informatika Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL INTEGRASI JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Teknoinfo MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer ComTech: Computer, Mathematics and Engineering Applications Jurnal Teknologi Komputer dan Sistem Informasi METIK JURNAL Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Journal of Applied Engineering and Technological Science (JAETS) Sains, Aplikasi, Komputasi dan Teknologi Informasi Jurnal Sistem Informasi dan Sistem Komputer JNANALOKA International Journal of Engineering, Science and Information Technology Jurnal J-PEMAS JAIA - Journal of Artificial Intelligence and Applications JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Muhammad Bambang Firdaus
Fakultas Ilmu Komputer Dan Teknologi Informasi, Universitas Mulawarman, Samarinda
Aerospace Engineering Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Perancangan Model Animasi 3D Transportasi Air Pada Sungai Karang Mumus Tiopan Henry Manto Gultom; Hasyim Asyari; Muhammad Bambang Firdaus
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 17, No 2 (2022): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jim.v17i2.11708

Abstract

Samarinda ialah ibukota Kalimantan timur yang memiliki 7 sungai, salah satunya sungai Karang Mumus. Sungai Karang Mumus menawarkan peluang bagi pengembangan transportasi sungai di Kota Samarinda. Salah satu kawasan yang dilalui oleh Sungai Karang Mumus adalah Universitas Mulawarman (UNMUL). Penelitian ini bertujuan untuk menghasilkan gambaran rancangan mengenai moda transportasi air di sungai Karang Mumus, dan memberikan  informasi  dalam  bentuk  animasi  3  Dimensi  mengenai transportasi sungai dan lingkungan sekitar di Sungai Karang Mumus Unmul. Untuk membangun Perancangan Model Animasi 3D Transportasi Air Pada Sungai Karang Mumus Universitas Mulawarman.  Metode perancangan model yang diimplementasikan ialah Multimedia Development Life Cycle (MDLC). Output pada penelitian ini berupa video animasi. Pemanfaatan transportasi air menjadi transportasi umum bisa menjadi solusi dalam menyelesaikan kemacetan kota. Selain itu juga menjadi jalur masuk alternatif universitas unmul yang beberapa jalur ditutup.
Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia M. Khairul Anam; Arda Yunianta; Hasan J. Alyamani; Erlin Erlin; Ahmad Zamsuri; Muhammad Bambang Firdaus
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.2401

Abstract

Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.
K-Means Clustering to Identity Twitter Build Operate Transfer (BOT) on Influential Accounts M. Khairul Anam; Ike Yunia Pasa; Kartina Diah Kusuma Wardhani; Lusiana Efrizoni; Muhammad Bambang Firdaus
ComTech: Computer, Mathematics and Engineering Applications Vol. 14 No. 2 (2023): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v14i2.10620

Abstract

Twitter is a popular social media with hundreds of millions of users, but some are not human. About 48 million accounts are created by Build Operate Transfer (BOT), which represents up to 15% of all accounts. BOTs are created for various purposes, one of which is to post information about news automatically. However, BOTs have also been abused, such as spreading hoaxes or influencing public perception of a topic. The research aimed to determine which Twitter accounts were identified as BOT accounts based on predefined attributes. The research used tweet data from 213 Twitter accounts. The accounts used as test data were accounts that had influence. After that, the data were clustered using k-means using the attributes of retweets + replies count, followers count, account age, friends count, status count, digits count in name, username length, name similarity, name ratio, and likes count. The results show the optimal number of clustering at k = 3 on the Sum of Squared Errors (SSE) evaluation and the Elbow method and the best quality and cluster power at k = 2 on the silhouette coefficient. It shows that the clustered accounts with the highest number of members on each attribute are places for accounts with high BOT scores from several aspects of the BOT score type.
Pengembangan Virtual Tour untuk Perpustakaan Universitas Mulawarman Muhammad Bambang Firdaus; Anjas, Andi; Tejawati, Andi; Taruk, Medi; Wardhana, Reza; Alameka, Faza
METIK JURNAL Vol 8 No 1 (2024): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v8i1.765

Abstract

Advances in technology have now spread to all aspects of life and profession. When archiving, it is appropriate to use a computerized system to make archiving and processing letters easier. but there are still few who take advantage of current technological advances. One of them is the TEXMACO PURWASARI Vocational High School which still archives letters in paper form (hard copy). Manual archiving has weaknesses that pose many risks. By designing the UI/UX of an archival information system, it is hoped that it can solve existing problems. In designing the UI/UX, apply the user center design (UCD) method, which is a method for analyzing the UI/UX design of an electronic archival information system. seen from the system user's perspective, so that the system design is designed according to the user's needs. This research aims, apart from producing a UI/UX design design for an electronic archival information system using the User Centered Design (UCD) method, to also evaluate usability using the system usability scale method (SUS) to measure the feasibility of the Letter Archiving Information System that has been designed. The result of this research is an archival information system design that is equipped with a database design that is tailored to user needs.
Testing the Augmented Reality Functional Suitability of Wood as Raw Materials for Typical Crafts of East Borneo Muhammad Bambang Firdaus; Zainal Arifin; Ruri Widi Priatna
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 4, No 3 (2021): JTKSI
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v4i3.1052

Abstract

Borneo wood which has good quality wood for building basic materials and other purposes, has been widely known and sold. There are more than 120 types of wood, some of them are from Kalimantan. Cempaka wood, Putat wood, Mentibu wood, Meranti wood, Merbabu wood, Ironwood, Teak wood, and Sengon wood are included in various types, both endemic and from Borneo. This research is a continuation of previous research that has been running on the initial development of AR Wood, Raw Materials for Typical Crafts of East Borneo. This research aims to test forestry applications for information or socialization of the classification and utilization of East Borneo typical wood. This research objective can be achieved by using Augmented Reality (AR) technology which can incorporate almost all levels of virtual object society into the real environment and also use Android mobile technology. Therefore, functional adequacy testing is needed, namely black box testing and usability to find out how much the system can meet the needs if it is used as a raw material for East Borneo handicrafts, where the results of black box testing are good in test results for six features and standards. When using wood as a raw material, tests are carried out. With good classification results, usability reached 71.6%.
Sara Detection on Social Media Using Deep Learning Algorithm Development M. Khairul Anam; Lucky Lhaura Van FC; Hamdani Hamdani; Rahmaddeni Rahmaddeni; Junadhi Junadhi; Muhammad Bambang Firdaus; Irwanda Syahputra; Yuda Irawan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 1 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i1.5390

Abstract

Social media has become a key platform for disseminating information and opinions, particularly in Indonesia, where SARA (Ethnicity, Religion, Race, and Intergroup) issues can fuel social tensions. To address this, developing an automated system to detect and classify harmful content is essential. This study develops a deep learning model using Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) to detect SARA-related comments on Twitter. The method involves data collection through web scraping, followed by cleaning, manual labeling, and text preprocessing. To address data imbalance, SMOTE (Synthetic Minority Over-sampling Technique) is applied, while early stopping prevents overfitting. Model performance is evaluated using precision, recall, and F1-score. The results demonstrate that SMOTE significantly improves model performance, particularly in detecting minority-class SARA comments. CNN+SMOTE achieves a accuracy of 93%, and BiLSTM+SMOTE records a recall of 88%, effectively capturing patterns in SARA and non-SARA data. With SMOTE and early stopping, the model successfully manages class imbalance and reduces overfitting. This research supports efforts to curtail hate speech on social media, especially in the Indonesian context, where SARA-related issues often dominate public discourse.
Pengembangan Virtual Tour untuk Perpustakaan Universitas Mulawarman Muhammad Bambang Firdaus; Anjas, Andi; Tejawati, Andi; Taruk, Medi; Wardhana, Reza; Alameka, Faza
METIK JURNAL (AKREDITASI SINTA 3) Vol. 8 No. 1 (2024): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v8i1.765

Abstract

Advances in technology have now spread to all aspects of life and profession. When archiving, it is appropriate to use a computerized system to make archiving and processing letters easier. but there are still few who take advantage of current technological advances. One of them is the TEXMACO PURWASARI Vocational High School which still archives letters in paper form (hard copy). Manual archiving has weaknesses that pose many risks. By designing the UI/UX of an archival information system, it is hoped that it can solve existing problems. In designing the UI/UX, apply the user center design (UCD) method, which is a method for analyzing the UI/UX design of an electronic archival information system. seen from the system user's perspective, so that the system design is designed according to the user's needs. This research aims, apart from producing a UI/UX design design for an electronic archival information system using the User Centered Design (UCD) method, to also evaluate usability using the system usability scale method (SUS) to measure the feasibility of the Letter Archiving Information System that has been designed. The result of this research is an archival information system design that is equipped with a database design that is tailored to user needs.
Penerapan Na ̈ıve Bayes Classifier, K-Nearest Neighbor (KNN) dan Decision Tree untuk Menganalisis Sentimen pada Interaksi Netizen dan Pemeritah M. Khairul Anam; Bunga Nanti Pikir; Muhammad Bambang Firdaus; Susi Erlinda; Agustin Agustin
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i1.1092

Abstract

Pemerintah Pekanbaru saat ini sudah menerapkan teknologi dalam sistem pemerintahan, penerapannya saat ini masih mendapat keluhan dari masyarakat seperti layanan publik command center yang hanya sebagian masyarakat mengetahuinya dan penerapan cctv yang ada di Alat Pemberi Isyarat Lalu Lintas (APILL) yang belum berfungsi dengan baik. Penerapan teknologi lainnya oleh Pemerintah Pekanbaru dapat kita lihat dari keberadaan portal-portal web situs resmi Pemerintah. Sedangkan untuk melihat beragam komentar netizen dari twitter. Twitter menjadi tempat untuk mendapatkan data yang diungkapkan masyarakat melalui tweets yang diposting ke timeline. Analisa sentimen dilakukan untuk melihat pendapat atau kecenderungan opini netizen terhadap pemerintah Pekanbaru yang mengandung sentimen positif, negatif, dan netral. Data yang digunakan adalah tweet dengan jumlah dataset sebanyak 150 tweets. Data tersebut kemudian di analisa agar menjadi informasi. Analisa dilakukan menggunakan metode data mining yaitu Naïve Bayes Classifier, K-Nearest Neighbor (KNN), dan Decision tree. Penggunaan ketiga pendekatan ini berupaya untuk mengkategorikan hasil komentar netizen terkait penggunaan teknologi yang telah melalui proses analisis sentimen dan membandingkan keakuratan ketiga cara tersebut. Hasil akurasi yang didapatkan cukup beragam yaitu dari metode Naïve Bayes akurasi 100%, metode KKN akurasi 98,25%, dan metode decision tree akurasi 62,28%.
PENGUJIAN USER EXPERIENCE PADA APLIKASI SMART HOME MENGGUNAKAN USE QUESTIONNAIRE Muhammad Bambang Firdaus; Irfan Putra Pratama; Andi Tejawati; M Khairul Anam; Fadli Suandi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 7 No 1 (2022): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v7i1.1929

Abstract

This research was conducted to design an Android-based Smart Home application user interface that is easily understood by users to control the system and test the User Experience on the smart home application design. The data collection methods used were questionnaires, observations, and literature studies. For the system development method using the Linear Sequential Model / Waterfall Model method. Applications used in making designs and smart home applications include Android Studio, Sublime, Xampp, Adobe Xd, and Adobe Illustrator. The testing methods used include Usability testing and Usability Measurement using the USE Quistionnaire. This research produces a Smart Home application design that can be used by users to easily control the system.
MOBILE GAME EDUKASI PAUD SEBAGAI MEDIA PENGENALAN DENGAN TEKNIK SPEECH RECOGNITION Nurjayadi Nurjayadi; Indah Mukhlis Tamara; M. Khairul Anam; Muhammad Bambang Firdaus; Hamdani Hamdani
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 7 No 2 (2022): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v7i2.2431

Abstract

Pembelajar anak usia dini lebih suka belajar melalui bermain. Namun, ketika Covid-19 menyebar, proses belajar mengajar sangat dibatasi. Akibatnya anak kecil lebih banyak menghabiskan waktunya untuk bermain daripada belajar, dan mereka disibukkan dengan ponsel atau smartphone mereka, terlepas dari teman mereka, yang membuat mereka malas untuk belajar. Pendidikan usia dini anak memiliki enam tujuan: norma agama dan moral, pengembangan keterampilan fisik dan motorik, pengembangan kognitif, pengembangan sosial-emosional, pengembangan bahasa, dan pengembangan artistik. Belajar sambil bermain adalah cara yang bagus untuk menggunakan teknologi sebagai media pembelajaran di masa pandemi ini. Membuat belajar lebih mudah bagi anak-anak melalui Android dan teknik Speech Recognition (perintah suara) membuat belajar menjadi menyenangkan bagi anak-anak! Dalam metode waterfall, kerja suatu sistem dilakukan secara berurutan atau linier. Dengan bantuan aplikasi game edukasi ini, anak-anak akan belajar bagaimana berkomunikasi dan memperluas wawasan mereka ketika belajar atau menjawab pertanyaan di kemudian hari. Berbagai materi akan disajikan dalam game ini untuk membantu mengenalkan siswa pada huruf arab, angka, dan hijaiyyah. Ini adalah alat yang sangat baik untuk dimiliki oleh orang tua atau guru PAUD.
Co-Authors Ade Chrisvitandy Ade Riyanda Putra Agustin Ahmad Zamsuri Alameka, Faza Anam, M Khairul Anjas, Andi Anton Prafanto Anton Prafanto Arda Yunianta Arief Hidayat Awang Harsa Kridalaksana Basani, Yuniarta Budiman, Edy Bunga Nanti Pikir Damar Sanggara Habibie Eddy Kurniawan Pradana Efrizoni, Lusiana Erlin Fadli Suandi Fahrul Yamani Fajar Ramadhan Faza Alameka Fernando Elda Pati Gandhi Dwi Laksono Gubtha Mahendra Putra Hadi Asnal, Hadi Hairah, Ummul Hamdani Hamdani - Hamdani Hamdani Hanif Aulia Hario Jati Setiady Hasan J. Alyamani Hasyim Asyari Herman Santoso Pakpahan Ike Yunia Pasa Indah Mukhlis Tamara Irfan Putra Pratama Irsyad, Akhmad Irwanda Syahputra Junadhi Junadhi Kartina Diah K. W. Langgeng Ari Kusuma Lathifah Lathifah Lathifah Lathifah Latifah Lucky Lhaura Van FC, Lucky Lhaura M Syauqi Hafizh Medi Taruk Mohammad Yasin Muh Fathir Fahrezah Muhammad Abdillah Rahmat Muhammad Akbar Muhammad Budi Saputra Muhammad Fawaz Saputra Muhammad Fikri Anshori Muhammad Nopri Fauzi Muhammad Nur Ihwan Muhammad Wisdan Pratama Putra Nariza Wanti Wulan Sari Novi Yona Sidratul Munti Nurjayadi Nurjayadi Putut Pamilih Widagdo Rahmaddeni Rahmaddeni Rahmaddeni Rahmaddeni Renol Sulle Rosmasari Rosmasari Rozy Rivaldi Ruri Widi Priatna Sofiansyah Fadli Susi Erlinda Taruk, Medi Tejawati, Andi Tiopan Herny Manto Gultom Tri Putri Lestari Triyani Arita Fitri Ummul Hairah Wardhana, Reza Wati, Masna Widians, Joan Angelina Wirta Agustin Yaakub, Saleh Yuda Irawan Yudi Kurniawan Yumami, Eva Zainal Arifin