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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Coding: Jurnal Komputer dan Aplikasi CESS (Journal of Computer Engineering, System and Science) JITK (Jurnal Ilmu Pengetahuan dan Komputer) BULETIN AL-RIBAATH Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Media Informasi Teknologi Mekongga: Jurnal Pengabdian Masyarakat Media of Computer Science Jurnal Komputer, Informasi dan Teknologi
Syamsul Bahri
Universitas Tanjungpura
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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NON-CASH FOOD ASSISTANCE PROGRAM BENEFICIARIES BASED ON COPRAS AND CODAS Dwi Marisa Midyanti; Syamsul Bahri; Hafizhah Insani Midyanti
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 8 No. 2 (2023): JITK Issue February 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1241.409 KB) | DOI: 10.33480/jitk.v8i2.3892

Abstract

Determination of recipients of the Non-Cash Food Assistance Program (BPNT) is a matter that causes problems if it is not carried out in an objective, transparent, and targeted manner. Previous studies on BPNT were based on a specific method, which did not use a negative trend in the criteria. In this study, the Multi-Criteria Decision Making (MCDM) approach was used to recommend the recipients of the BPNT program. Two MCDM models were used in this study, COPRAS and CODAS methods. Spearman's rank correlation method was used to determine the best model and measure the degree of similarity between the results obtained from different models. Spearman rank correlation shows that COPRAS and CODAS have a strong positive correlation of 0.89899. The combined COPRAS-CODAS ranking model produces a very strong positive correlation value of 0.9744 for both methods, so the model is used for recommendations for BPNT program recipients.
Eligibility of village fund direct cash assistance recipients using artificial neural network Dwi Marisa Midyanti; Syamsul Bahri; Suhardi Suhardi; Hafizhah Insani Midyanti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i4.pp1611-1618

Abstract

Bantuan Langsung Tunai Dana Desa (BLT-DD), or known as Village Fund Direct Cash Assistance is assistance from the Indonesian government which causes problems and conflicts in the community when the assistance is not on target. The classification algorithm is proven to use in determining BLT-DD recipients. In this study, the radial basis function (RBF) and elman recurrent neural network (ERNN) models compare to classify the eligibility of BLTDD recipients. In the experiment, the optimal performance of the RBF and ERNN compare in determining the eligibility of BLT-DD recipients. Also, it’s compared with the classification algorithm that implements the same data, namely BLT-DD data for Kubu Raya District. The experimental results show the effectiveness of the RBF model in recognizing test data, while the ERNN model is effective in identifying test data. The RBF and ERNN models can achieve the same total accuracy of 98.10%.
Pengembangan dan Sosialisasi Website Sistem Informasi Desa Punggur Kecil Sebagai Media Informasi Desa Suhardi Suhardi; Hirzen Hasfani; Ikhwan Ruslianto; Rahmi Hidayati; Cucu Suhery; Tedy Rismawan; Dwi Marisa Midyanti; Syamsul Bahri; Irma Nirmala; Uray Ristian; Kasliono Kasliono; Karika Sari; Hafiz Muhardi
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 7 No 3 (2025): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v7i3.1279

Abstract

Pengembangan dan sosialisasi website Sistem Informasi Desa Punggur Kecil bertujuan untuk menyediakan media informasi yang efektif bagi masyarakat Desa Punggur Kecil, Kabupaten Kubu Raya. Kegiatan ini merupakan bagian dari Pengabdian Pada Masyarakat dengan berfokus pada pembangunan website yang berfungsi sebagai pusat informasi desa, mencakup berbagai aspek antar lain profile desa, informasi public, informasi kegiatan, dan transparansi dana desa. Kegiatan dimulai dengan pertemuan dengan kepala desa untuk membahas rencana pembuatan sistem informasi dan pelaksanaan sosialisasi. Setelah didapatkan kebutuhan menu website yang dibutuhkan, dibangun website sistem informasi Desa Punggur Kecil. Setelah itu, dilaksanakan sosialisasi penggunaan website di lingkungan desa Punggur Kecil. Sosialisasi yang dilaksanakan pada tanggal 10 Juli 2024 di Aula Kantor Desa Punggur Kecil dari jam 13.00 WIB. Tujuan dari sosialisasi ini adalah untuk memperkenalkan dan memberikan pemahaman kepada masyarakat mengenai penggunaan dan manfaat website. Peserta yang mengikuti kegiatan ini sebanyak 23 peserta, diantaranya pegawai kantor desa, ketua RT, BPD, dan masyarakat. Hasil dari kegiatan sosialisasi menunjukkan bahwa mayoritas peserta dapat memahami fungsi dan cara mengakses website dengan baik. Kegiatan PKM ini telah berhasil memperkenalkan teknologi informasi yang berguna untuk meningkatkan transparansi dan efisiensi dalam pengelolaan desa.
Implementasi LoRa Multi-Hop Pada Monitoring Angin Kencang Berbasis Internet of Things Brayen Frengki Dinata; Syamsul Bahri; Hirzen Hasfani
Jurnal Komputer, Informasi dan Teknologi Vol. 5 No. 2 (2025): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v5i2.2963

Abstract

Angin kencang adalah fenomena cuaca ekstrem dengan kecepatan di atas 45 km/jam. Penelitian ini mengembangkan sistem monitoring angin berbasis IoT dengan teknologi LoRa Multi-Hop untuk memperluas jangkauan. Sistem terdiri dari transmitter, repeater, dan gateway yang meneruskan data ke server. Hasil uji menunjukkan jangkauan maksimal 180 meter. Nilai RSSI pada 140–160 meter masih kategori sedang TIHPON, namun pada 180 meter turun ke kategori buruk TIHPON. Rata-rata delay meningkat dari 177,3 ms kategori bagus TIHPON hingga 573,167 ms kategori buruk TIHPON, sedangkan jitter dari 145,983 kategori buruk TIHPON ms hingga 450,9 ms kategori buruk TIHPON. Hasil ini menunjukkan peningkatan jarak membuat kualitas nilai jaringan menurun
Single hidden layer feedforward neural networks for indoor air quality prediction Dwi Marisa Midyanti; Syamsul Bahri; Ilhamsyah Ilhamsyah; Zalikhah Khairunnisa; Hafizhah Insani Midyanti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp322-328

Abstract

Indoor air quality (IAQ) has become a problem because it affects human health, comfort, and productivity. Predicting air quality is a complex task due to the dynamic nature of IAQ variable values simultaneously. In this study, the single hidden layer feedforward neural networks model is used, namely radial basis function (RBF), self-organizing maps (SOM)-RBF, and extreme learning machine (ELM) to classify IAQ. This study also observed the effect of the number of neurons in the hidden layer on the model accuracy and overfitting of each network. The experimental results show that the number of neurons in the hidden layer can affect the accuracy of the RBF and SOM-RBF models. Among the three models used, RBF produces very good training data accuracy but also the most significant overfitting value. The largest overall accuracy was obtained using SOM-RBF, with a value of 86.37%.
Introduction and Implementation of the Internet of Things for Students Vocational High School 1 Punggur Besar Hirzen Hasfani; Uray Ristian; Hafiz Muhardi; Kasliono; Cucu Suhey; Tedy Rismawan; Ikhwan Ruslianto; Rahmi Hidayati; Syamsul Bahri; Dwi Marisa Midyanti; Irma Nirmala; Suhardi; Kartika Sari
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2026): April 2026 (In Progress)
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v3i1.265

Abstract

The training program “Introduction and Implementation of IoT” at Vocational High School(VHS) 1 Punggur Besar aims to enhance students’ understanding and practical skills in developing IoT-based systems. The training introduces key IoT concepts, components such as sensors, actuators, and microcontrollers, and how devices communicate via the internet. Through hands-on sessions, students create simple projects like temperature and humidity monitoring systems, smart lighting, and sensor-based notifications. This program helps students build technical competence in hardware assembly and IoT programming while fostering creativity and problem-solving abilities. As a result, students gain better readiness to face industrial demands that rely on digital technologies and are encouraged to innovate in applying IoT to real-world challenges.
Implementation of the Advanced Encryption Standard (AES) Algorithm on Access Code QR Codes in a Smart Door System Ihsan Azhar Rhamadan; Kasliono; Syamsul Bahri
Media of Computer Science Vol. 2 No. 2 (2025): December 2025
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v2i2.258

Abstract

This research aims to design a smart door system based on QR codes with increased security using the AES-256-CBC algorithm. With AES-256-CBC encryption, the access code data sent from the device to the server is no longer in plaintext form, making it more secure from Man-in-the-Middle (MitM) attacks such as sniffing. The system utilizes ESP32-CAM to read QR codes and NodeMCU ESP32 to encrypt access data using a key hashed with SHA-256 and a 16-byte IV before being sent to the server for verification. Performance testing shows that the average delay increased from 66.4 ms to 67.46 ms after AES implementation, with a maximum value of 82 ms which is still in accordance with the TIPHON standard. On the throughput side, without AES the average is only 5.23 kbps due to shorter data, while with AES it increases to 7.30 kbps with a peak of 8 kbps due to the longer ciphertext size. The response time test recorded an average of 3830.76 ms and a maximum of 6086 ms, spanning the process from sending the code to opening the solenoid. Despite variations due to internet connection quality, delay spikes do not significantly impact system performance, indicating that the system remains secure and stable for IoT-based access control.
Vigenere Cipher Cryptography for Secure Data Transmission in IoT Smart Door Using QR Code Riski Arasyid; Syamsul Bahri; Kasliono
Jurnal Media Informasi Teknologi Vol. 3 No. 1 (2026): Februari 2026
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v3i1.250

Abstract

The Smart Door system based on the Internet of Things (IoT) using QR Code offers automated access but remains vulnerable to data sniffing attacks. This study implements the Vigenère Cipher algorithm to encrypt transmitted data and analyzes the ciphertext's resistance to attacks as well as its impact on communication delay. The system is built using ESP32-CAM as the QR scanner and NodeMCU ESP32 as the main controller, with encryption applied across three communication paths: ESP32-CAM to server, server to database, and server to ESP32. Testing involved data sniffing, delay analysis, and ciphertext evaluation using tools such as dCode and CryptoTool. From 20 sniffed QR Code results, 10 random samples were tested, and only 3 were recognized as Vigenère Cipher and none were decrypted successfully. In the server-to-ESP32 path, only 1 out of 10 ciphertexts was detected and all remained undeciphered. The average delay was recorded at 2.473 seconds (door unlocking) and 3.491 seconds (buzzer activation), with variations due to network stability. The results indicate that Vigenère Cipher effectively enhances data security in resource-constrained IoT devices, although delay optimization is needed to meet real-time system requirements.
Implementation of Failover in a Master-Slave Architecture for Soil Moisture Sensor Data Transmission Ajeng Fitria; Uray Ristian; Syamsul Bahri; Ida Bagus Gede Sarasvananda
Jurnal Media Informasi Teknologi Vol. 3 No. 1 (2026): Februari 2026
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v3i1.262

Abstract

Development of Internet of Things (IoT) offers significant opportunities in the agricultural sector by enabling automatic and efficient monitoring of crop conditions. A common issue in IoT-based monitoring systems utilizing a master-slave architecture is the loss of data communication when the master node experiences a failure, which reduces system reliability. This research develops a plant monitoring system based on a master-slave architecture with a failover method using ESP32 and HTTP communication. The system consists of three master nodes, each handling two slave nodes, with a total of twelve soil moisture sensors. Data from the sensors are transmitted by the slave nodes to the master nodes, then forwarded to a cloud server. The failover method functions to maintain communication continuity by rerouting data transmission when a master node experiences a failure. The test results show that the system without failover experienced data loss and communication downtime equal to the duration of the master node failure, while the integration of IoT and failover method maintained communication with an average packet loss of 2.22% and a switching delay of approximately 0.78 seconds.
Co-Authors Agung Jati Swiknyo Ajeng Fitria Albert Stevan Yondra Anita Sulvia Anugrah Savari Hadisastra Arie Pratama Brayen Frengki Dinata Cucu Suhery Cucu Suhey Dedi Triyanto Dwi Marisa Midyanti Epin Aji Hafiz Muhardi Hirzen Hasfani Ida Bagus Gede Sarasvananda Ihsan Azhar Rhamadan Ikhwan Ruslianto Ilhamsyah Irma Nirmala Kartika Sari Kasliono Kasliono Midyanti, Hafizhah Insani Rahmi Hidayati Ricky Oktariyadi Riski Arasyid Rizka Amalia Ananda Roynal Kadepi Suhardi Syarifah Iin Safitri Tedy Rismawan Thomas Adi Putra Tri Floren Doni Uray Ristian Zalikhah Khairunnisa