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Pangaribuan, Hotma
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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DESAIN APLIKASI PEMESANAN MAKANAN RESTORAN PONDOK KERANG BERBASIS ANDROID MENGGUNAKAN AUGMENTED REALITY Dandi, Afri; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 10 No 4 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i4.8576

Abstract

Research focuses on the design of an Android-based food ordering application, emphasizing the visualization of 3D menu objects using Augmented Reality (AR) technology. The primary objective is to enhance the user experience through immersive visualizations of menu items. The application intentionally excludes additional features such as online payment, restaurant menu management, or online purchasing integration, maintaining a streamlined focus on augmented reality-enhanced food ordering. The compatibility of the application spans from Android version 8.0 to version 13.0, ensuring accessibility to a wide range of Android users. The research targets a specific set of 9 food items and 4 beverage items in the menu. The implementation utilizes the C# programming language, providing a robust and versatile foundation for the application's development. EasyAR SDK serves as the chosen platform for markerless augmented reality development, ensuring efficient and dynamic visualizations of 3D menu items within the application.
DESAIN DAN IMPLEMENTASI SISTEM PENGENDALIAN GORDEN OTOMATIS BERBASIS ARDUINO MENGGUNAKAN SENSOR LIGHT DEPENDENT RESISTOR Siregar, Kristina Yanti; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9742

Abstract

This research focuses on the design and implementation of an automatic curtain control system using an Arduino microcontroller and an LDR (Light Dependent Resistor) sensor. The system aims to optimize energy efficiency in residential buildings by automatically adjusting curtain openings based on ambient light intensity. The LDR sensor detects light levels, and the Arduino processes this data to control a DC motor that opens or closes the curtains. The system was prototyped using readily available components, including an Arduino Uno, LDR sensor, DC motor, and a wooden frame for housing the components. Testing demonstrated the system's effectiveness in responding to light changes, with the LDR sensor exhibiting an average response time of 2-3 seconds, and the DC motor accurately controlling the curtains with an average response time of 1 second. This automated solution has the potential to reduce reliance on artificial lighting, thereby contributing to energy conservation in homes.
SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA BURUNG LOVEBIRD DENGAN METODE FORWARD CHAINING BERBASIS WEB Manurung, Efran Louis; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9782

Abstract

The disease known as avian pox poses a serious threat to Lovebirds and can lead to their death. In some regions, this illness is referred to as "patek." The primary cause of this disease is a virus that, upon infecting a Lovebird, triggers excessive growth in the outer skin layer. This growth results in new tissue that quickly dies, forming warts. If left untreated, these warts can enlarge. The avian pox virus can be transmitted in various ways, including bites from infected mosquitoes, flies, contact with sick birds, and even through contaminated food or water. As a result of this infection, Lovebirds may experience respiratory difficulties and struggle to eat, ultimately leading to death. Therefore, it is crucial to develop a system that can assist Lovebird enthusiasts in preventing and addressing this disease. One potential solution is an expert system that can enhance the ability to diagnose symptoms like a professional.
DESAIN DAN IMPLEMENTASI SISTEM PEMANTAUAN KUALITAS UDARA DALAM RUANGAN BERBASIS ARDUINO Raja Amelia Lestari; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9812

Abstract

In this research, a prototype is designed to detect indoor air quality. The designed system will display indoor air quality data on an LCD screen and provide a warning via a buzzer if the air quality reaches an unhealthy threshold. The LED indicator will light up as a visual indication of the air quality based on the concentration of detected pollutants, such as dust particles, harmful gases, temperature, and humidity. The MQ-135 sensor is used to detect harmful gases such as carbon dioxide that can affect air quality. The GP2Y1010AU0F sensor is used to detect particles, while the DHT22 is used to measure temperature and humidity. In the final stage, conclusions will be drawn based on the results of the system tests that have been carried out. It is hoped that through this research, the developed system can provide solutions to indoor air quality problems and contribute to creating a healthier environment for residents.
PERANCANGAN SISTEM MONITORING KELEMBAPAN TANAH PADA TANAMAN CABAI BERBASIS INTERNET OF THINGS Rajagukguk, David; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 13 No 4 (2025): Comasie Vol 13 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i4.10445

Abstract

Chili plants require proper and consistent irrigation to ensure healthy growth and optimal crop yields. However, in many agricultural settings, especially in small to medium-scale farming, the absence of a real-time monitoring system often leads to under-watering or over-watering. These issues can result in wilting, root damage, or even crop failure. To address this challenge, this study presents the development of a soil moisture monitoring system based on the Internet of Things (IoT). The system integrates a soil moisture sensor (YL-69), NodeMCU ESP8266 microcontroller, and the Blynk mobile application. The NodeMCU acts as the main controller that receives data from the sensor, processes it, and transmits the information to the Blynk platform via Wifi.The Blynk app provides a user-friendly interface that displays soil moisture conditions in real-time. Moisture levels are categorized into three conditions: dry (<50%), normal (50–70%), and wet (>70%). A Gauge widget shows the moisture percentage visually in analog form, while the SuperChart logs the historical moisture data. When moisture falls below 50%, the system triggers a notification alert to the user. The test results demonstrate accurate sensor readings, real-time data transmission, and effective notification delivery. Overall, this system enhances irrigation decision-making and helps farmers maintain optimal soil moisture, thereby improving the sustainability and productivity of chili cultivation.
ANALISIS SENTIMEN KEPUASAN PELANGGAN TRANSPORTASI ONLINE PADA GRAB MENGGUNAKAN SUPPORT VERCTOR MACHINE Sitanggang, Denny; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10452

Abstract

Online transportation services such as Grab have become an essential part of urban mobility in Indonesia, generating a wide range of user reviews that reflect levels of satisfaction. This study aims to analyze the sentiment of these reviews using the Support Vector Machine (SVM) algorithm. Data were collected from the Google Play Store and processed through several stages, including text preprocessing, automatic labeling based on rating scores (≤3 as negative, ≥4 as positive), and feature representation using the Term Frequency–Inverse Document Frequency (TF-IDF) method. The dataset was split into training data (80%) and testing data (20%), and the SVM model was trained using a linear kernel. Evaluation results showed an accuracy of 82%, precision of 84%, recall of 78%, F1-score of 79%, and an AUC of 0.9015. Further analysis of negative reviews revealed that the aspects of “drivers,” “application,” and “payment” were the main sources of complaints. These findings demonstrate the effectiveness of SVM in sentiment classification and its potential as a data-driven service evaluation tool. The study also recommends manual labeling or semantic-based approaches to address inconsistencies between review scores and content.
PERANCANGAN APLIKASI PENDETEKSI STUNTING PADA BALITA DENGAN AUGMENTED REALTY Dofariando, Muhammad Ariel; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 13 No 3 (2025): Comasie Vol 13 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i3.10519

Abstract

Stunting is a form of chronic malnutrition that causes impaired growth and development in children under five, especially in their first 1,000 days of life. The high prevalence of stunting in Indonesia, despite national reduction efforts, demands more effective and innovative early detection solutions. Conventional anthropometric measurements are still carried out manually and often overlooked by the public due to lack of awareness and tools. This research aims to design and implement an Android-based application utilizing Augmented Reality (AR) technology to assist in early detection of stunting in toddlers. The application uses the WHO Z-score Height-for-Age standard and camera-based real-time measurement with AR support on devices equipped with Time-of-Flight (ToF) sensors. The study applied a structured development methodology and was implemented using Unity and ARCore SDK. Users input the child’s age and weight, then scan the child’s height with their device, and the system automatically classifies stunting status visually and informatively. Testing showed that the application achieved an accuracy rate of approximately 99% at optimal lighting and scanning distance, with successful rendering of 2D and 3D objects. It also proved effective in raising awareness by offering educational content such as interactive visualizations, growth graphics, and parenting tips. The results confirm that the AR-based stunting detection application is functional, user-friendly, and informative, providing both a diagnostic tool and a medium for public health education. It supports government stunting reduction programs and empowers parents and healthcare workers in remote or underserved areas.
REKOMENDASI PRODUK E-COMMERCE BERBASIS KLASIFIKASI MENGGUNAKAN ALGORITMA MACHINE LEARNING Nehe, Intensif; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 13 No 4 (2025): Comasie Vol 13 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i4.10562

Abstract

The growth of e-commerce is driving an increase in the number of product reviews, but notall reviews are informative and relevant. This study aims to build a Tokopedia reviewclassification system using the Naive Bayes algorithm to filter relevant reviews. The datasetused totaled 40,607 product review lines. The preprocessing process includes cleaning,tokenization, stopword removal, and feature transformation using TF-IDF with 5,000 featurewords. Labels are determined based on ratings, where a rating of 4-5 is considered relevant.The Multinomial Naive Bayes model yielded an accuracy of 93.71%, a precision of 0.94, arecall of 0.99 for the relevant class, and an F1-score of 0.96. Although performance inirrelevant classes is still low, this model is effective in supporting product recommendations
Co-Authors Abdul Hamid Alvin Alvin, Alvin Andi Maslan Apriyanto, Apriyanto Auric, Auric Bun, Ayna Yodia Dandi, Afri Debora Margaretta Br Simanjuntak Dofariando, Muhammad Ariel Eri Hariyanto, Eri Febryan Siaurence haryani, r.fitri Haryati, Elis Hussudur, Aldie Misbah Khang, Steven Manurung, Efran Louis Marubah Siringo, Anggiat Maslan, Andi Mohamad, Kamaruddin Malik Bin Nando Nehe, Intensif Nur Aprilyani Prasetyo, Bahariandi Aji Pratiwi, Mariska Putri Raja Amelia Lestari Rajagukguk, David Reza, Reza Noviandy Rici Rikardo RIZQA SUNGADI, ORISKO GEPTNA Sianipar, Vicram Renondo Sihotang , Sunarsan Simanjuntak, Pastima Sirait, Ganda Siregar, Kristina Yanti Sitanggang, Denny Sitohang, Sunarsan Syastra, Muhammad Taufik Vieri Fernando Wicaksana, Rizki Alief Zalukhu, Meiman Hasrat