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All Journal JURNAL SISTEM INFORMASI BISNIS SITEKIN: Jurnal Sains, Teknologi dan Industri Riau Journal of Computer Science Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal CoreIT JURNAL INSTEK (Informatika Sains dan Teknologi) Building of Informatics, Technology and Science Zonasi: Jurnal Sistem Informasi Bulletin of Computer Science Research Tedc
Rahmad Abdillah
Program Studi Teknik Informatika, Fakultas Sains Dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary Other

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Result Based Manajemen Sistem untuk Monitoring dan Evaluasi Kegiatan Bimbingan Dasar Keislaman Okfalisa, Okfalisa; Simaremare, Harris; Abdillah, Rahmad; Najwa, Nina Fadilah
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.452 KB) | DOI: 10.21456/vol9iss1pp77-85

Abstract

The Islamic values in the integrated curriculum should be reflected in governance, teaching lifestyle, and society dedication. The Islamic basic mentoring activity was the routine activity in UIN SUSKA Riau. That activity had been going on since 2010 and had unoptimization through stakeholder dissatisfaction with performance output. This research has developed a model by Result based for monitoring and evaluating the activity implementation. The results of the modeling mechanism were implemented in the construction of a Result Based Management Information System prototype. This research conducted by 7 constructs with 32 indicators that had been statistically tested by Confirmatory Factor Analysis to know the significance and the relation between indicators and constructs. This model was tested descriptive statistic to measure the activity implementation performance in accordance with the expected output. The results of performance activity at the Faculty of Science Technology were at the middle level. The construction of a prototype using Object Oriented Analysis had been successfully carried out with very good results in testing the UAT and Black Box. The system had 6 actors based on the stakeholder requirements and the system was successfully monitoring and evaluating problem and activity as long as the implementation. Performance information in graphically was to help the leader and top management for making decision and policy fixing. The discussion forum was developed as sharing information platform between the leader, the manager and the lecturer, the fellow lecturer, the lecturer and the participants. Thus, the transformation and transparency in implementation activity were formed.
EVALUASI AWARENESS POP-UP WEBSITE BERDASARKAN DESAIN, KONTEN DAN NOTIFIKASI Abdillah, Rahmad; Mai Candra, Reski
Riau Journal Of Computer Science Vol. 6 No. 2 (2020): Riau Journal of Computer Science
Publisher : Riau Journal Of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.029 KB)

Abstract

Pop-Up is one of the tools that can increase an organization's revenue because one of its functions is to direct. However, many are abusing this pop-up function. Many pop-ups point users to gambling, data theft, and so on. Therefore users who do not care about this threat will be targeted. This study evaluates pop-up models that appear in terms of design, content, and notification aspects. A total of 163 respondents who had an Information Technology (IT) background were evaluated. The evaluation has passed the tests of normality, reliability, and homogeneity. Respondents feel disturbed by the presence of pop-ups, especially how to close the pop-ups that appear. At the end of the sub-discussion, there are implications of this study
FAKTOR YANG DAPAT MEMPENGARUHI ORANG DALAM E-VOTING Rahmad Abdillah
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 11, No 1 (2013): Desember 2013
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v11i1.559

Abstract

Electronicvoting atau e-voting merupakan metode peralihan proses pemilihan dari manual menjadi lebih terkoordinir dan terstruktur. E-voting menggabungkan teknologi hardware dan software.Penelitian ini melakukan pengembangan terhadap penelitian tsuma terutama pada teori penerimaan teknologi.Sampel penelitian berasal dari Universitas Islam Negeri Sultan Syarif Kasim Riau, Universitas Riau dan Universitas Islam Riau.Kriteria sampel adalah civitas akademika berusia lebih besar dari 18 tahun, pernah mengikuti pemilihan umum presiden atau pemilihan kepada daerah.Pengujian model penelitian menggunakan uji validitas dan uji reliabilitas. Uji validitas meliputi uji nilai t dan standardized loading factor. Uji reliabilitas meliputi uji composite/construct reliability (CR) dan average variance extracted (AVE). Pengujian hipotesis dengan membandingkan nilai t dengan nilai uji t yaitu 1.96 (signifikansi 5%), sehingga ditemukan faktor yang mempengaruhi minat orang dalam e-voting adalah compatibility.
QUICK REPORT FOR HOST BASED INTRUSION DETECTION SYSTEM (HIDS) Rahmad Abdillah
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 11, No 2 (2014): Juni 2014
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v11i2.761

Abstract

Saat ini, Notifikasi penyusup pada Intrusion detection system masih menggunakan teknologi pager. Penelitian ini mengusulkan quick report pada sistem pendeteksian penyusupan berbasis hosts (HIDS) sebagai alternatif notifikasi instrusi kepada administrator ketika terdeteksi oleh IDS. Quick report ini dibangun menggunakan konsep SMS Gateway. HIDS dihubungkan dengan teknologi SMS gateway sebagai media penyampaian notifikasi intrusi, sehingga administrator lebih cepat mendapatkan informasi penyusup di dalam server.
Smart Performance Measurement Tool in Measuring The Readiness of Lean Higher Education Institution Okfalisa Okfalisa; Fitri Insani; Rahmad Abdillah; Wresni Anggraini; Toto Saktioto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1965

Abstract

The development of autonomy University drives management innovation to increase the alternative sources of income with the purpose of the efficiency improvement and productivity of the institution. One of a management model that leads to increase productivity through cost reduction is Lean service. The implementation of Lean Higher Education Institution (LHEI) requires total involvement of organization maneuver, including social culture, infrastructure, and leadership support. Therefore, the readiness of the institution in welcoming Lean concepts becomes significant. This article tried to develop a prototype of an intelligent performance measurement tool by analyzing the readiness indicators using the Analytical Hierarchy Process (AHP) method. This tool provided the classification of organizational readiness into five performances level. The measurement performed as a Decision Support System (DSS) to recommend University management level in making a decision and correcting action towards the optimal execution of Lean service. As a case study, this prototype system has been tested with Black Box and User Acceptance Test (UAT) in Indonesia Islamic Higher Education Institution. The finding reveals that the prototype system can be used as a performance measurement tool in measuring the readiness of Lean's service in Islamic Higher Education Institution.
SISTEM PENDEKTEKSIAN PENYUSUP BERBASIS SMS GATEWAY PADA PROSES OTENTIKASI FILE TRANSFER PROTOCOL(FTP) Rahmad Abdillah
Jurnal TEDC Vol 9 No 2 (2015): Jurnal TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.727 KB)

Abstract

HIDS (Host Based Intrusion Detection System) yang ada pada saat ini belum mampu memberikan solusi tepatdalam hal notifikasi penyusup. Penelitian ini mengusulkan sebuah konsep notifikasi pada HIDS menggunakanSMS Gateway khususnya pada proses otentikasi layanan FTP. HIDS menggunakan konsep analisa terhadapfile log meliputi proses pengumpulan informasi, ekstrak informasi dananalisa hasil ekstrak informasi.Sedangkan SMS Gateway sebagai model pengiriman laporan penyusup kepada administrator. PerpaduanHIDS dan SMS Gateway telah berhasil memberikan notifikasi penyusup lebih cepat kepada administrator.Katakunci : HIDS dan SMS Gateway
Security Testing Sistem Penerimaan Mahasiswa Baru Universitas XYZ Menggunakan Open Source Security Testing Methodology Manual (OSSTMM) Fernando, Yendri Ikhlas; Abdillah, Rahmad
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 2, No 1 (2016): Juni 2016
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (747.817 KB) | DOI: 10.24014/coreit.v2i1.2354

Abstract

Teknologi aplikasi web berkembang pesat sehingga digunakan untuk berbagai tujuan seperti keperluan akademik pada suatu universitas. Namun teknologi ini tidak bisa lepas dari tingginya ancaman kemanan yang tinggi sehingga bisa merugikan pihak-pihak tertentu. Pada dunia keamanan informasi dikenal security testing yakni suatu proses yang menguji seberapa tinggi tingkat kemanan suatu aplikasi yakni aplikasi web sehingga dapat diketahui nilai dan tingkat keamanan dan rekomendasi yang berguna. Salahsatu metode security testing yang efektif adalah Open Source Security Testing Methodology Manual (OSSTMM). OSSTMM adalah metode tertentu untuk melakukan security testing dan menyajikan hasil berupa RAV dan STAR. Aplikasi web yang diteliti adalah Sistem Penerimaan Mahasiswa Baru Universitas XYZ sehingga didapatkan hasil dan rekomendasi yang berguna dalam pengembangan lebih lanjut dimasa yang akan datang. Hasil penilaian yang didapatkan yakni dengan nilai Actual Security 74,5877.
Performance Analysis of LVQ 1 Using Feature Selection Gain Ratio for Sex Classification in Forensic Anthropology Harni, Yulia; Afrianty, Iis; Sanjaya, Suwanto; Abdillah, Rahmad; Yanto, Febi; Syafria, Fadhilah
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3625

Abstract

One approach to handling large of data dimensions is feature selection. Effective feature selection techniques produce the essential features and can improve classification algorithms. The accuracy performance results can measure the accuracy of the method used in the classification process. This research uses the Learning Vector Quantization (LVQ) 1 method combined with Gain Ratio feature selection. The data used is male and female skull bone measurement data totaling 2524. The highest accuracy results are obtained by LVQ 1, which uses a Gain Ratio with a threshold of 0.01 with a learning rate = 0.1, which is 92.01%, and the default threshold weka(-1.7976931348623157E308) with a learning rate = 0.1, which is 92.19%. In comparison, previous research that did not use gain ratio or that did not use GR only had the best results of 91.39% with a learning rate = 0.1, 0.4, 0.7, 0.9. This shows that LVQ 1 using the Gain Ratio can be recommended to improve the performance of the Skull dataset compared to LVQ 1 without Gain Ratio.
SMS Phishing Detection Model with Hyperparameter Optimization in Machine Learning Abdillah, Rahmad; Insani, Fitri
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.35547

Abstract

Phishing is one of the growing cybersecurity threats, including through SMS, known as smishing. This research aims to build a model for SMS phishing detection using a machine learning approach optimized through hyperparameter tuning techniques. The data used is obtained from personal SMS messages collected through questionnaires, which are then labeled by information security experts. The SMS text is cleaned using Natural Language Processing (NLP) techniques and represented using the TF-IDF method. Ten classification algorithms are tested in this study: K-NN, Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random Forest, AdaBoost, Bagging, ExtraTree, Gradient Boosting, and XGBoost. Hyperparameter optimization is performed using Grid Search and Optuna, and performance is evaluated using accuracy, F1-score, and ROC-AUC metrics. The results show that the SVM and Logistic Regression models performed the best, achieving accuracy up to 98.5%. Hyperparameter optimization techniques have proven effective in improving the performance of SMS phishing classification models. This research is expected to contribute to the development of accurate and efficient SMS phishing detection systems.
Perbandingan Akurasi Arsitektur EfficientNet-B0, VGG16, dan Inception V3 Dalam Deteksi Tumor Ginjal Pada Citra CT-Scan Muhammad Fahri; Yanto, Febi; Syafria, Fadhilah; Abdillah, Rahmad
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.670

Abstract

Kidney dysfunction can trigger the development of various diseases, including kidney tumors. Early detection of kidney tumors is very important to increase the effectiveness of treatment and the chances of patient recovery. The use of deep learning technology in medical image classification has become a promising approach, especially in detecting abnormalities in the kidney organ through CT-Scan images. This study compares the performance of three Convolutional Neural Network (CNN) architectures, namely EfficientNet-B0, Inception-V3, and VGG16, in detecting kidney tumors. The dataset used was obtained from the kaggle website, namely CT-scan images with normal and tumor classes and divided by a ratio of training  data and test data of 80:20. The hyperparameter used is Stochastic Gradient Descent (SGD) with a learning rate of 0.001 and 0.0001. The evaluation was carried out using a confusion matrix with metrics of accuracy, precision, recall, and F1-score . According to the test outcomes, the VGG16 model configured with a 0.001 learning rate achieved the highest classification performance, recording 99.46% accuracy, precision, recall, and F1-score.
Co-Authors Anggraini, Wresni Darmila Elvia Budianita Fadhilah Syafria Febi Yanto Fernando, Yendri Ikhlas Fitri Insani Fitri Insani Fitri Insani Harni, Yulia Iis Afrianty Iis Afrianty Insani, Fitri Iwan Iskandar Muhammad Fahri Najwa, Nina Fadilah Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa, Okfalisa Pasiolo, Lugas Pizaini Pizaini Putri, Adilah Atikah Reski Mai Candra Saktioto Saktioto Simaremare, Harris Simaremare SURYA ADITYA GD Surya Agustian Suwanto Sanjaya Wresni Anggraini