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All Journal Jurnal Radioisotop dan Radiofarmaka Jurnal Khatulistiwa Informatika INTEGER: Journal of Information Technology Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Telcomatics Journal of Information System and Technology (JOINT)
Sabariman Sabariman
Pusat Pengembangan Radioisotop dan Radiofarmaka-BATAN, serpong.
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Medicine & Pharmacology

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Journal : Telcomatics

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Sistem Kendali dan Monitoring Irigasi pada Rumah Kaca Berbasis Bluetooth dengan Metode Fuzzy Logic Sak, Erwin; Yulianto, Andik; Sabariman, Sabariman
Telcomatics Vol. 9 No. 1 (2024)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v9i1.9489

Abstract

In general, plantations using greenhouses or Green Houses are faced with various obstacles. Changes in temperature and humidity in the room are unpredictable and you have to determine the right time to water and determine which plants to plant by seeing whether the plants can tolerate the temperature and humidity levels in the greenhouse room and estimating how much watering should be done.From these problems, the author created a Green House Prototype and an irrigation system using the Fuzzy Method which is capable of monitoring and watering plants automatically.Based on the results of the analysis by applying the Fuzzy method in the irrigation system, the author can control the watering of Strawberry plants and adjust the Temperature, Humidity and moisture levels to a good ecosystem for the growth of Strawberry plants in the Prototype Green House.
Characterization of The Heat Transfer in Film Boiling with Spray Quenching for Different Material Properties Sabariman, Sabariman
Telcomatics Vol. 2 No. 2 (2017)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v2i2.247

Abstract

A hot aluminum alloy AA6082 and nickel disc of 560 °C and 850 °C was cooled by a spray nozzle with the spray flux of 4.2, 10 and 13.7 kg/m2s. The temperature history during the cooling process was recorded with use of an infrared camera. The energy balance equation is the basis for the numerical procedure of Heat Transfer Coefficient (HTC) calculation in the film-boiling regime. It is found that HTC is almost independent from kind of metals. HTC has a stronger function of surface temperature. With use of single droplet model in film boiling developed, vapor film thickness can be calculated to predict this trend.
Perancangan Prototype Brankas Menggunakan Sistem Pengenalan Wajah Dengan Metode Convolutional Neural Network (CNN) Yulianto, Andik; Andreas, Willy; Sabariman, Sabariman
Telcomatics Vol. 8 No. 1 (2023)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v8i1.7852

Abstract

A safe-deposit box is a box used for keeping precious items. Safe-deposit boxes are designed to be difficult for people to open by force. There are various security systems that may be used in it, such as mechanical key, combinational lock, PIN, etc. However, a safe-deposit box is still prone to unpermitted access because anyone who knows the PIN or possesses the key is still able to open it. This research aims to create a safety-box prototype which has a face recognition system implemented on it to ensure no unauthorized person may access this box. Experiment is performed on three different classes, which are “erwin”, “unknown”, and “willy”. Class of “erwin” and “willy” are defined as safe owners, while “unknown” is defined as anyone who is not both owners. Classification on safe owners is considered success if the percentage output in corresponding classes is at least 90 %. Classification on “unknown” class is considered success if the result is at least 90 % or percentage on each class is lower than 90 %. Accuracy for each class is 0 %, 71.43 %, dan 100 %.
Random Forest Classifier Approach for Accurate Malicious URL Identification Haeruddin, Haeruddin; Elvert; Yulianto, Andik; Sabariman, Sabariman
Telcomatics Vol. 10 No. 2 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i2.11173

Abstract

Internet users currently face significant risks from malicious URLs that facilitate phishing attacks, malware distribution, and data theft. Traditional blacklisting methods have become ineffective against evolving cyberattack techniques. This study proposes a Random Forest classification approach for more accurate malicious URL detection, focusing on critical URL features including URL length, presence of special keywords, subdomain structure, and special character usage. these features train the Random Forest model to distinguish between safe and malicious URLs. We evaluate model effectiveness using accuracy, precision, and recall metrics. This research aims to develop a Random Forest-based malicious URL detection system that is more accurate and adaptive than conventional methods. The study examines both the advantages and limitations of this approach, along with its potential as a reliable detection solution for dynamic digital environments. Evaluation results demonstrate an overall accuracy of 94%, weighted average F1-score of 0.94, and macro average F1-score of 0.94.
Co-Authors Alexander Alexander, Alexander Andik Yulianto Andreas, Willy Celvin, Celvin Daya Agung Sarwono Dicky Tri Jatmoko Elvert Erlina Erlina Eryc, Eryc Francisco, Leo Haeruddin Haeruddin Julyanto, Julyanto Lau, Eric Lee, Deven Lie, Steven Mungkap Mangapul Siahaan Nimatul Mamuriyah Prasetyo, Stefanus Eko Puteri, Vier Adinda Rustandi, Jeffrey Saifudin Nafis Sak, Erwin Sama, Hendi Su, Vincent Syahputra, Bayu Trimurni Trimurni Zulkarnain Zulkarnain