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All Journal Media Komunikasi Geografi TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIV : International Journal on Informatics Visualization IT JOURNAL RESEARCH AND DEVELOPMENT Communications in Science and Technology Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Abdimas Mandiri Zonasi: Jurnal Sistem Informasi Buletin Pembangunan Berkelanjutan Hawa : Jurnal Pemberdayaan Dan Pengabdian Masyarakat (HAWAJPPM) International Journal of Information Systems and Technology (IJOINT) Data Science Insights
Apri Siswanto
Universitas Islam Riau
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

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PREDIKSI PERUBAHAN JUMLAH PENDUDUK DI KOTA PEKANBARU MENGGUNAKAN ALGORITMA NAIVE BAYES Efendi, Akmar; Siswanto, Apri; Andika, Rio Fit
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 3 (2024): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i3.22346

Abstract

Penelitian ini mengaplikasikan Algoritma Naive Bayes untuk memprediksi perubahan jumlah penduduk di Kota Pekanbaru berdasarkan data historis dari tahun 1995 hingga 2022. Tujuan dari penelitian ini adalah untuk memahami tren demografis dan memberikan prediksi yang dapat digunakan sebagai dasar dalam pengambilan keputusan terkait perencanaan pembangunan kota. Data jumlah penduduk diolah untuk mengkategorikan perubahan tahunan sebagai peningkatan ("Increase") atau penurunan ("Decrease"). Algoritma Naive Bayes dilatih dan diuji untuk memprediksi kategori perubahan tersebut. Hasil penelitian menunjukkan bahwa Algoritma Naive Bayes mencapai akurasi sebesar 89.29%. Algoritma ini cukup efektif dalam memprediksi peningkatan jumlah penduduk, namun memiliki keterbatasan dalam memprediksi penurunan jumlah penduduk, yang diidentifikasi sebagai akibat dari ketidakseimbangan data. Meskipun demikian, hasil prediksi ini memberikan wawasan yang penting bagi pengambil kebijakan dalam merencanakan pembangunan dan penyediaan layanan publik di Kota Pekanbaru. Untuk penelitian lebih lanjut, disarankan untuk mengeksplorasi metode penyeimbangan data dan model pembelajaran mesin alternatif untuk meningkatkan akurasi prediksi.
Optimizing Pigeon-Inspired Algorithm to Enhance Intrusion Detection System Performance Internet of Things Environments Ratnawati, Fajar; Siswanto, Apri; Jaroji, -; Effendy, Akmar; Tedyyana, Agus
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1724

Abstract

Intrusion Detection Systems (IDS) are crucial in maintaining network security and safeguarding sensitive information against external and internal threats. This study proposes a novel approach by utilizing a Pigeon-Inspired Algorithm optimized with the Hyperbolic Tangent Function (Tanh) function to enhance the performance of IDS in threat detection specifically tailored for Internet of Things (IoT) environments. We aim to create a more robust solution for optimizing intrusion detection systems by integrating the efficient and effective Tanh function into the Pigeon-Inspired Algorithm. The proposed method is evaluated on three widely-used datasets in the field of IDS: NSL-KDD, CICIDS2017, and CSE-CIC-IDS2018. Experimental results demonstrate that integrating the Tanh function into the Pigeon-Inspired Algorithm significantly improves the performance of the intrusion detection system. Our method achieves higher accuracy, True Positive Rate (TPR), and F1-score while reducing the False Positive Rate (FPR) compared to traditional Pigeon-Inspired Algorithms and several other optimization algorithms. The Pigeon-Inspired Algorithm optimized with the Tanh function offers an efficient and effective solution for enhancing intrusion detection system performance, specifically in Internet of Things environments. This method holds great potential for application in diverse network environments, bolstering information security and safeguarding systems from evolving cybersecurity threats. By extending the applicability and effectiveness of the Pigeon-Inspired Algorithm optimized with the Tanh function, researchers can contribute to developing more comprehensive and robust security solutions, addressing the ever-evolving landscape of IoT-based cybersecurity threats.
Swarm intelligence for intrusion detection systems in internet of things environments Apri Siswanto; Akmar Efendi; Jaroji Jaroji; Fajar Ratnawati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 1: February 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i1.25857

Abstract

The rise of the internet of things (IoT) technology has brought new security challenges, necessitating robust intrusion detection systems (IDS). This research applies swarm intelligence (SI) principles, specifically the pigeon inspired optimization (PIO) algorithm, to enhance IDS effectiveness in IoT environments. Drawing on the behavior of social species, SI fosters decentralized control and emergent behavior from simple rules. These principles guide the PIO algorithm, making it apt for optimizing IDS. We utilize two comprehensive IoT datasets – the Canadian Institute for Cybersecurity (CIC) IoT dataset 2023 and the IoT dataset for IDS, aiming to boost the IDS’s capability to detect illicit attacks. By adapting the PIO algorithm, our IDS learns from the environment, adapts to evolving threats, and mitigates false-positive rates. Preliminary tests show that our SI-based IDS outperforms traditional systems’ accuracy, speed, and adaptability. This research advances SI applications in IoT security, contributing to developing more resilient IDS and ultimately enhancing IoT network security against a range of cyber threats.
Application of Geolocation Methods in Student Attendance System Design Yoga Rizya Pratama; Apri Siswanto
Data Science Insights Vol. 2 No. 1 (2024): Journal of Data Science Insights
Publisher : PT. Visi Media Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63017/jdsi.v2i1.10

Abstract

Universitas Islam Riau is one of the universities in Riau province that is of interest to high school graduate students as a place to continue their studies at a higher level. Implementing the student attendance process at the Universitas Islam Riau is still done manually; this causes less efficiency and effectiveness of attendance activities, starting from data collection, processing presence data, and storing and searching processes, which take time. In some cases, fraud may occur, such as falsifying the presence of someone represented by another party. Then, we need a system that can record the attendance of students whose positions are within the scope of the class radius. Geolocation can capture device coordinates by utilizing latitude and longitude, which will be used to measure the distance between classes and students. If the student's position is outside the class radius determined by each lecturer, then the student cannot fill in attendance. If the student's position is within the scope of the class radius that has been determined, students can fill in attendance. In the research, we succeeded in designing a student attendance system based on the geolocation method. Security to overcome fake GPS managed to function properly, and fingerprints to take attendance can work properly. From the results of Black box testing, the system can run well and is free from syntax and functional errors.
HILIRISASI PRODUK KERUPUK SAGU MELALUI TEKNOLOGI TEPAT GUNA DAN PENGUATAN PEMASARAN UMKM DI KABUPATEN KUANTAN SINGINGI Made Devi Wedayanti; Apri Siswanto; Eva Sundari; Yeni Kusumawaty; Boby Indra Pulungan; Miftahul Jannah; Uchita Angguni; Syamila Fitria; Ayu Sri Rejeki; Ivan Kasanda; Aldo Osman Panjaitan; Gael Perdina
Hawa : Jurnal Pemberdayaan Dan Pengabdian Masyarakat Vol. 4 No. 2 (2026): Agustus 2026 Hawa : Jurnal Pemberdayaan Dan Pengabdian Masyarakat (HAWAJPPM)
Publisher : Yayasan Wayan Marwan Pulungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69745/hawajppm.v4i2.162

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan memperkuat produktivitas, nilai tambah produk, kapasitas manajemen, dan akses pasar dua usaha mikro, kecil, dan menengah kerupuk sagu di Kabupaten Kuantan Singingi, Riau melalui penerapan teknologi tepat guna dan pendampingan partisipatif. Tahun ketiga dirancang sebagai tahap konsolidasi dan hilirisasi setelah dua tahun penguatan produksi dan manajemen. Kegiatan melibatkan UMKM Kerupuk Sagu Uwit di Desa Jaya dan UMKM Kerupuk Sagu Sina di Desa Pulau Baru melalui tahapan sosialisasi, pelatihan berbasis kebutuhan, penerapan teknologi, pendampingan, monitoring, dan penguatan keberlanjutan. Intervensi meliputi penggantian sarana produksi yang rusak, penguatan jemuran dan penyimpanan, penggunaan mesin sealer, kemasan bermerek untuk kerupuk sagu mentah, pelatihan pembukuan digital dan arus kas, serta perluasan pasar melalui event Pacu Jalur 2026 dan akses toko oleh-oleh di Pekanbaru. Hasil sementara menunjukkan kapasitas produksi Uwit dari baseline Tahun ke-2 sebesar 740 kg/bulan diarahkan menjadi 888 kg/bulan, sedangkan Sina dari 552 kg/bulan menjadi 668 kg/bulan. Target omzet meningkat 21% pada Uwit dan 20,5% pada Sina. Program juga memperkuat higienitas, pengemasan, pelibatan tenaga kerja lokal, dan positioning produk. Pengembangan pemasaran digital dan proses perlindungan merek masih berlanjut. Hasil ini menunjukkan bahwa transfer teknologi secara bertahap yang dipadukan dengan pendampingan manajemen dan pemasaran dapat memperkuat keberdayaan ekonomi serta keberlanjutan UMKM pangan lokal
Co-Authors Abdul Syukur Adiguna Setiawan Agus Tedyyana, Agus Aldo Osman Panjaitan Andika, Rio Fit Aprilia Aprilia, Aprilia Ause Labellapansa, Ause Ayu Sri Rejeki Boby Indra Pulungan Budi Prayitno Devi Wedayanti, Made Efendi, Akmar Efendi, Akmar Effendy, Akmar Evizal Abdul Kadir Faiser, Adli Fajar Ratnawati Fikram, Muhammad Gael Perdina Ismail, Mohd Suhaili Bin Ivan Kasanda Jaafar, Mohd Zaidi Jaroji Jaroji Jaroji, - Khalif, Ku Muhd Na’im Kurniawan, Ahmad Kusmeli, Kusmeli Lukman, Ichsan Made Devi Wedayanti Merlang, Ronald Miftahul Jannah Prafes, Prendy Putra, Dike Fitriansyah Ratnawati, Fajar Reza Amelia Sundari, Eva Syamila Fitria Uchita Angguni Wedayanti, Made Devi Yeni Kusumawaty Yoga Rizya Pratama Yoldi Novendra Yudhi Arta Yudhi Arta