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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic PROtek : Jurnal Ilmiah Teknik Elektro Tech-E Computatio : Journal of Computer Science and Information Systems JOURNAL OF APPLIED INFORMATICS AND COMPUTING Rang Teknik Journal JURNAL ILMIAH INFORMATIKA DoubleClick : Journal of Computer and Information Technology Prosiding Semhavok Jambura Journal of Electrical and Electronics Engineering Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Empowerment Society Jurnal Bina Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) Jurnal Pengabdian Masyarakat Bangsa MAYARA: Jurnal Pengabdian Masyarakat
Dasmen, Rahmat Novrianda
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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PERANCANGAN SISTEM KEAMANAN TEMPAT PENYIMPANAN BARANG MENGGUNAKAN KONSEP LASER LIGHT SEBAGAI ALARM DAN NOTIFIKASI BERBASIS IoT Dito Juliansyah, Dito; Sulaiman, Sulaiman; Ariandi, Muhammad; Dasmen, Rahmat Novrianda
Rang Teknik Journal Vol 8, No 2 (2025): Vol. 8 No. 2 Juni 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/rtj.v8i2.6693

Abstract

This study aims to evaluate the performance of various sensors and security systems based on environmental changes and access conditions. Power supply measurements show stability with an average voltage of 24.094 V and an error rate of 0.43%, which is within the 5% tolerance limit. The LDR sensor proved effective in detecting light changes with consistent resistance values in bright, dim, and dark conditions. The door sensor demonstrated reliability in responding to door condition changes with an average response time of 50 milliseconds. The RFID system efficiently processes registered and unregistered cards quickly, ensuring only authorized access. Overall, the security system is assessed to respond swiftly to potential threats, providing adequate protection.Keywords: Power supply, LDR sensor, Door sensor, RFID, Security system, Quick response
Implementing and Monitoring Water Consumption Using IoT-Based Smart Dispensers Dasmen, Rahmat Novrianda; Yahya, M.
Tech-E Vol. 8 No. 1 (2024): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v8i1.2769

Abstract

Conventional dispensers have limitations in providing drinking water tailored to user preferences and do not focus on efficient resource use. This research aims to address these issues by designing and implementing a smart, efficient automatic dispenser. An experimental method was used to develop an Arduino-based prototype consisting of several components: flow sensor, color sensor, fingerprint sensor, proximity sensor, DC pump, motor driver, NodeMCU, and LCD. The flow sensor measures water volume, the color sensor detects glass color, the fingerprint sensor identifies the user, and the proximity sensor detects the presence of the glass. The DC pump flows water from the tank to the glass, relays and solenoids control the water flow, NodeMCU processes sensor data and connects to IoT, and the LCD displays the required information. A battery backup ensures functionality during power outages. The research results show that the automatic dispenser performs well and meets the research objectives. It provides drinking water according to user preferences: warm water for red glasses, cold water for blue glasses, and room temperature water for green glasses. Additionally, it identifies users through fingerprints and sends notifications via Telegram chatbots. This smart dispenser offers a more efficient and user-friendly solution compared to conventional dispensers.
A Comparative Deep Learning Approach for Classifying Oil Palm Fruit Ripeness Levels Using YOLOv8s and Faster R-CNN Rasmila, Rasmila; Oktavian, Sakbanullah Dwi; Dasmen, Rahmat Novrianda; Amalia, Rahayu
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 4 (2025): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111942

Abstract

Assessing oil palm fruit ripeness is essential for optimizing harvest timing and maximizing market value. In many developing regions, harvesting is still performed every 10–15 days through manual visual inspection, a process prone to human error that often causes premature harvesting and reduces selling value by up to 50%. This study explores deep learning-based object detection for automatic classification of oil palm fruit bunches. A dataset of 4,578 annotated high-resolution images was prepared and categorized into six ripeness classes: Empty, Immature, Underripe, Abnormal, Ripe, and Overripe. Two advanced detection models, YOLOv8s and Faster R-CNN with a ResNet-50 backbone, were evaluated under identical conditions using precision, recall, and mean Average Precision (mAP) metrics. YOLOv8s achieved precision and recall above 99%, with a mAP 0.5:0.95 of 0.9254, demonstrating strong reliability and efficiency for real-time use. Faster R-CNN achieved a higher mAP 0.5 of 0.9964, indicating superior localization accuracy but slower computation. Overall, YOLOv8s provides a better trade-off between accuracy and speed, making it more practical for automated harvesting. This research supports precision agriculture by emphasizing AI-driven solutions that improve productivity, minimize losses, and promote sustainable palm oil management.
Air Quality Monitoring System And Air Neutralizer In Hotel Rooms With Notification Via Telegram Dasmen, Rahmat Novrianda; Akbar, Rizki
Tech-E Vol. 6 No. 2 (2023): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia is rich in natural beauty, and in various regions it presents many tourist objects that attract visitors from various regions and foreign countries. Hotels, as a form of public accommodation, are extremely beneficial to tourists who are traveling by providing lodging services in the form of hotel rooms. The article aims to design a carbon dioxide (CO2) gas detector because CO2 gas is included in air quality and uses the MQ 135 sensor to detect gas in order to provide comfort to hotel visitors. carbon dioxide (CO2), DC fans as air neutralizers in hotel rooms, and with notifications via telegram to find out the levels of carbon dioxide (CO2) gas in hotel rooms.
The IOT-Based Hydrogen Sulfide Monitoring at PT. Pertamina Geothermal Energy on Lumut Balai Area Dasmen, Rahmat Novrianda; Muhammad Adrian Saputra
Tech-E Vol. 7 No. 1 (2023): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v7i1.2287

Abstract

Geothermal Power Plants produce electricity energy from geothermal sources found in geothermal wells. Inside the geothermal well there is H2S content which is a toxic gas that can cause death to humans when human exposed the H2S content for 500-700 ppm within 30-60 minutes. Based on several literacies, in this research, H2S sensor type MQ-136 was used to monitoring H2S content in the geothermal environment. The Internet of Things system is used to read data parameters as a tool to display PPM values on the LCD of the transmitter and receiver device, as well as Adafruit IO website for reading parameter sensor data.. To transmit data from the transmitter to the receiver, Lora Ra-01 AI Thinker is used. The focus of this research is to be able to remotely monitor H2S content through the Adafruit IO website, the highest data was read is 0.54 ppm and the lowest at 0 ppm. This equipment will give "BHY" signal on the LCD display on the transmitter and from the Adafruit IO website it will send a notification "hazard of high ppm H2S" to mobile phones who installed IFTTT application if the H2S concentration was read for 10 ppm or higher, so that workers avoid being exposed to high concentrations of H2S when they want to monitor the parameters in the Geothermal well area.
PELATIHAN PEMBUATAN BLOG SEBAGAI LOGBOOK MAHASISWA MAGANG DI UNIVERSITAS BINA DARMA Azhiman, Fauzan; Negara, Edi Surya; Putra, Ade; Dasmen, Rahmat Novrianda; Rasmila, Rasmila; Raihan, Muhammad
Jurnal Pengabdian Masyarakat Information Technology Vol. 2 No. 2 (2023): Jurnal Pengabdian Masyarakat Information Technology - September 2023
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jpm_itech.v2i2.2645

Abstract

Logbook merupakan sebuah hal yang terpenting sebagai catatan atau dokumentasi dalam suatu kegiatan, tentunya tujuan dengan pelatihan pembuatan blog melalui wordprss menjadi sebuah logbook magang pada mahasiswa universitas bina darma untuk meningkatkan kualitas pengalaman magang serta sebagai hal yang menarik untuk pelaporan secara online. Metode yang dilaksanakan merupan Action Reaseach melalui beberapa teknis didalamnya yang ada yaitu melibatkan serangkaian workshop yang mencakup aspek teknis pembuatan blog dan manajemen konten. PkM dari pelatihan ini ditemukan bahwa mahasiswa magang yang menerapkan blog sebagai logbook mereka memiliki kecenderungan yang lebih baik dalam mencatat pengalaman dan pemahaman mereka. Blog memberi mereka ruang untuk mengekspresikan refleksi pribadi, mempromosikan pemahaman mereka tentang konteks pekerjaan, dan berbagi wawasan dengan sesama mahasiswa magang. Selain itu, blog ini juga membantu dalam mempermudah supervisi dan evaluasi oleh dosen pembimbing magang.
IMPLEMENTASI METODE VLSM (VARIABLE LENGTH SUBNET MASK) PADA PEMETAAN IP ADDRESS LAN (LOCAL AREA NETWORK) STIPER SRWIGAMA PALEMBANG Dasmen, Rahmat Novrianda
Computatio : Journal of Computer Science and Information Systems Vol. 2 No. 2 (2018): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v2i2.1703

Abstract

Pemetaan IP (Internet Protocol) Address pada setiap user yang ada di LAN (Local Area Network) STIPER Sriwigama Palembang saat ini masih dilakukan secara manual dan terkadang tanpa mencatat IP address yang telah diberikan pada user-user sebelumnya sehingga terjadi kesamaan IP address yang menyebabkan bentrokan saat pengiriman data. Hal inilah yang menjadi penyebab dasar sehingga peneliti bermaksud mengimplementasikan metode VLSM (Variable Length Subnet Mask) sehingga dapat memetakan IP address untuk user ke dalam beberapa bagian. Pada STIPER Sriwigama Palembang dibagi beberapa bagian user yaitu : Ketua, Wakil Ketua, LPPM, Administrasi, Dosen, Staff, Perpustakaan dan Mahasiswa. Perhitungan pemetaan IP address dengan metode VLSM ini diawali dari jumlah user yang terbanyak dari beberapa bagian yang telah dibagi di atas. Pemetaan IP ini menjadi solusi dari permasalahan yang terjadi pada STIPER Sriwigama Palembang sehingga dengan metode VLSM tidak lagi terjadi bentrokan IP address karena setiap user telah memperoleh IP address dan subnet mask yang berbeda-beda.
IMPLEMENTASI PAPAN INFORMASI DIGITAL MENGGUNAKAN RASPBERRY PI 3 PADA STIPER SRIWIGAMA PALEMBANG Dasmen, Rahmat Novrianda; Halim, Nasrul
Computatio : Journal of Computer Science and Information Systems Vol. 2 No. 2 (2018): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v2i2.2570

Abstract

STIPER Sriwigama Palembang is one of the high school agricultural sciences located in the city of Palembang. As with other universities, in the STIPER Sriwigama Palembang environment there are lecturers, staff and students. STIPER Sriwigama Palembang in informing about the presence of lecturers is currently still using a simple manual information board to display the names of lecturers present or not with a static, unattractive and inaccurate display. The purpose of this research is to build a dynamic digital information board where information in it can be arranged according to needs, which can be managed by the information section. This research uses Raspberry Pi which will connect the LED TV with the computer part information. This research will produce an information board that contains interesting features such as the use of running images and text and provide information about the presence of lecturers who are teaching or not teaching which can be arranged through the computer information section. Because it is still in the research process, the current output will be explained limited to the display design and also explained about the configuration of the Raspberry Pi 3 model B so that it can modify the LED TV into a digital information board.
Digital Forensics to Prove Authenticity and Detect Malware in Email Sent on Directorat of Inovation and Bussiness Incubator Dasmen, Rahmat Novrianda; Putra, Muhammad Dimas; Rasmila, Rasmila
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14721

Abstract

Abstract - The Directorate of Innovation and Business Incubator (DIIB) at Bina Darma University often receives emails from external sources, increasing the risk of phishing, spoofing, and malware threats. This study applies the Digital Forensic Research Workshop (DFRWS) framework comprising Identification, Preservation, Collection, Examination, Analysis, and Presentation to analyze suspicious emails using forensic tools such as MXToolbox, Whois Lookup, Talos Intelligence, Sucuri SiteCheck, and VirusTotal. Ten suspicious emails were examined. Most failed one or more authentication checks (SPF, DKIM, DMARC), indicating weak verification and potential spoofing. Domain and IP analyses showed public domains like Gmail and Yahoo were most exploited, while official domains such as Upj.ac.id and Maranatha.ac.id had moderate risk. Sucuri classified most domains as medium to high risk, and VirusTotal found no active malware. The study concludes that phishing and spoofing pose greater threats than direct malware, highlighting the importance of forensic email analysis to enhance cybersecurity awareness at DIIB.   Keywords – DIIB, Email, DFRWS, Malware, Tools
Voltage, Current, and Work Process Monitoring System on CNC Diode Lasers Zulhijjah, Intan Dwi; Fitriani, Endah; Paramytha IS, Nina; Dasmen, Rahmat Novrianda
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14961

Abstract

The advancement of CNC laser diode technology has transformed manufacturing by enabling high precision cutting and engraving of various materials, yet ensuring reliable operation requires accurate monitoring of electrical and mechanical parameters. This research focused on designing and implementing a real-time monitoring system that integrates the PZEM-004T sensor for electrical measurements and limit switches for safety boundaries in CNC laser diode machines. The system was developed using NodeMCU ESP8266 as the main controller, with results displayed on an LCD 16x2 and alarms generated through a buzzer and relay. Experimental evaluation demonstrated that the system effectively measured voltage, current, power, and energy, with the PZEM-004T showing an average error below 5% compared to reference instruments. The integration of limit switches functioned reliably, preventing mechanical failures and ensuring safe operation within defined limits. Monitoring data supported energy efficiency by identifying power usage patterns and reducing operational risks. Engraving tests confirmed stable performance, with improved detail observed during longer process durations. Overall, the implemented system provides a practical and reliable solution for operational monitoring and mechanical protection, making it particularly suitable for small-scale CNC laser diode applications in industrial, educational, and creative fields.
Co-Authors A. Yani Ranius Ade Putra Adryansyah, M. Rizqi Hidayah Aldeno, Malvin Amalia, Rahayu Amelia, Astreet Andryani, Ria Anggraini, Tania Apriyanti, Nely Apriyanto, Apriyanto Ariandi, Muhammad Ariyanto, Cendri Arya Dwinata Azhiman, Fauzan Budiman, Ariff Darwin Darwin Dedi Kurniawan Dewi Anggraini DEWI SARTIKA Dito Juliansyah, Dito Edi Surya Negara Febriyanti, Dinni Fitriani, Endah Hadinata, Novri Halim, Nasrul Haq, Ainan Dinul Hesti Julia Julia Kartika, Entarisa Asma M. Yahya Makmuri, M. Kumroni Marsodisah, Marsodisah Muhammad Adrian Saputra Muhammad Reihan Pratama Mutiyah, Laras Putri Nirwana, Rengga Oktavian, Sakbanullah Dwi Paramitha, Nina Paramytha IS, Nina Paramytha, Nina Prasetyo, Abdi Pratama, Achmad Alfath Prayitno, Sandy Purwanto, Timur Dali Puspasari, Ledyana Putra, Muhammad Dimas Putri Agustina R. Sapto Hendri Boedi Soesatyo Raihan, Muhammad Ramadhan, Hafiizh Rasmila, Rasmila Rayhan, M. Rinaldo, Muhammad Agus Rizki Akbar, Rizki Sandy Rizki Gumelar Sulaiman Sulaiman Surya, Muhammad Haris Trisnawati Trisnawati Triwulanda, Asti Wijaya, Haji Wiranda, Wiranda Yasir, Husni Yola Friska Ananda Zulhijjah, Intan Dwi