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SISTEM PENGAMAN RUANGAN BERBASIS ANDROID MENGGUNAKAN SINAR LASER DAN MIKROKONTROLER: Teknik Informatika, STMIK Subang Timbo Faritcan Siallagan
Global Vol. 6 No. 2 (2019): GLOBAL
Publisher : FAKULTAS ILMU KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.607 KB)

Abstract

Sistem Keamanan Ruangan Menggunakan Mikrokontroler. Desain hardware dari alat pengamanjendela otomatis ini adalah kombinasi dari Aplikasi web yang terinstal pada komputer sebagai mediapengendali, modul web xammp sebagai media penghubung dan Mikrokontroler sebagai pusatpengendali dan pengolahan data yang nantinya akan memberikan perintah kepada solenoid untukkeamanan ruangan secara otomatis. Tujuan dari penelitian ini adalah membuat Sistem Keamananruangan berbasis android Menggunakan Mikrokontroler dan aplikasi rancangan sendiri yang telahdiinstal pada Komputer perrsonal. Berdasarkan pengujian yang telah dilakukan baik pada mekanikmaupun pada elektronika yang telah dibuat serta melihat tujuan dari penelitian, maka dapatdisimpulkan bahwa alat telah diuji dan dapat digunakan untuk membantu sistem keamanan ruanganotomatis dengan menggunakan Mikrokontroler berbasis android.
MACHINE LEARNING ALAT MONITORING FERMENTASI TAPE BERBASIS IoT MENGGUNAKAN METODE ALGORITMA C4.5 PADA PLATFORM THING SPEAK Timbo Faritcan Silallagan; Muhamad Firmansyah; jaja
Global Vol. 10 No. 1 (2023): GLOBAL
Publisher : FAKULTAS ILMU KOMPUTER

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Abstract

Salah satu faktor penting yang berpengaruh terhadap keberhasilan fermentasi tape singkong adalah aspek kualitas Suhu pada kotak, maupun kekeruhan air Alat dan sistem ini menggunakan metode klasifikasi algoritma C4.5. Tape singkong merupakan makanan yang terbuat dari hasil fermentasi dengan melibatkan ragi di dalam proses pembuatannya. Pendeteksian pada suhu, kelembaban dan berat dilakukan untuk melihat fermentasi ragi pada singkong hingga menjadi tape. Tujuan dari penelitian ini adalah merancang sebuah alat pendeteksi kematangan tape secara otomatis menggunakan sensor DHT22 dan sensor load cel HX71l, dengan microcontroler Esp8266 (NodeMCU) untuk proses kematangan pada tape singkong. Dari penelitian ini diperoleh hasil yang menunjukan bahwa tape singkong yang difermentasi pada suhu 30-35 derajat Celcius dalam 24 jam sudah bisa dikatakan matang, hal ini ditandainya dengan tekstur, aroma, warna dan rasa pada tape singkong yang berubah. Sehingga dapat disimpulkan bahwa fermentasi tape dengan menggunakan alat pendeteksi kematangan tape dapat meningkatkan kualitas tape yang dihasilkan dan mempercepa peroses fermentasi tape singkong. Dilakukan pengujian akurasi menggunkan tool rapidminer, nilai akurasi model sistem diperoleh sebesar 100.00%.
Garbage Disposal Information System Using Internet of Things Timbo Faritcan Siallagan
International Journal of Management Science and Information Technology Vol. 3 No. 1 (2023): January - June 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v3i1.923

Abstract

The waste management carried out by the Puri Panji Kencana Residential and Buana Grand Subang Housing Communities, West Java, is related to the community's perception of waste and the condition of the area where they live. Therefore, this study aims to determine the public's perception of waste, the waste management system, and the public's perception of the effectiveness of waste management in areas with different topography. This study used a survey method with data collection techniques in the form of distributing questionnaires to the respondents. The sampling technique used in this study was quota sampling by selecting 90 respondents in the three research areas. The analysis technique used is the crosstabs and chi square techniques obtained using the SPSS program. The results of this study indicate that people in the three regions with different topography have a positive perception of waste and regard waste as items that can still be recycled. There are differences in waste management in the three research locations, the flatter an area, the better the level of waste management. The effectiveness of waste management according to public perceptions from various aspects is more felt by people in flat and slightly wavy topography.
Pengenalan Suara sebagai Pengendali Mobile Robot dengan Metode Adaptive Neuro-Fuzzy Inference System Muhamad Agung Suhendra; Timbo Faritcan Parlaungan; Tedi Sumardi
TIME in Physics Vol. 1 No. 1 (2023): February
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2023.v1i1p43-49

Abstract

Voice recognition or speech recognition is a biometric technology that has very wide applications, one of which is for simple robot motion control. There are three stages in this research, namely data acquisition, feature extraction, and data classification. For feature extraction, the wavelet transform method is used which can analyze non-stationary and non-linear signals, while for data classification, the Adaptive Neuro-Fuzzy Inference System (Anfis) method is used. The result of data classification is 92.25% and 7.75% error. So, based on the results of the classification accuracy, the robot can be moved via voice commands and to anticipate the error value, the ultrasonic sensor feature is added to the robot as an alternative control.
Sistem Pengendalian Lampu Ruangan Menggunakan Sumber Energi Panel Surya Berbasis IoT (Internet of Thing) Faritcan Siallagan, Timbo; Susanti, Eka
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 2 No. 1 (2023): April 2023
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v2i1.154

Abstract

Efficient use of energy is emphasized in the use of electronic equipment. It aims to create an environmentally friendly technology. No exception for lighting in homes, buildings, schools and so on. Often, we see many room lights that turn on when not in use. This can be a huge waste of electricity. For this reason, a solution to this problem is needed, so an energy-efficient automatic lamp is needed. This lighting system aims to adjust the lighting conditions automatically based on the surrounding conditions. This system will detect the brightness or dimness of a room. If the room is bright enough, the light will turn off. However, when the room is dark, the lights will automatically turn on. The main energy source for this lamp is not from PLN electricity, but from solar panels. The use of solar panels aims to save electricity from PLN and utilize energy sources that are free and available for a very long time. This solar panel-based lighting system is already running well. This system is already able to utilize energy from the sun through solar panels to charge the battery, and the output of the system is that the lights are controlled automatically by the sensor block according to environmental conditions.
Object Tracking Based on Camera Using Anfis and Fuzzy Classifier for RGB Color Iqbal Robiyana; Timbo Faritcan Parlaungan; Sarifudin; Suhendra, Muhamad Agung
TIME in Physics Vol. 1 No. 2 (2023): August
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2023.v1i2p85-91

Abstract

Image processing technology has a wide range of applications, such as in the medical, military, surveillance, and robotics industries. Analyzing objects in images is crucial when it comes to image processing. This study focuses on image processing to track objects of red, green, and blue (RGB) colors through the utilization of a camera. There are two research schemes: image processing and data classification. The data classification method used is the fuzzy and adaptive neuro-fuzzy inference system (ANFIS). The methods of image subtracting and region properties are commonly utilized for image processing. Based on the classification data results, the fuzzy logic classification demonstrated a higher accuracy rate of 86% when compared to Anfis' 65%. This was observed when both classification models were tested using a random sample. The value of Anfis is small due to the limited size of the training data used. As a result, it is recommended to use a fuzzy classifier for object color tracking for good performance.
MACHINE LEARNING PENGAMAN BRANKAS BERBASIS IoT MENGGUNAKAN METODE ALGORITMA NAIVE BAYES PADA PLATFORM THING SPEAK Faritcan Parlaungan Siallagan, Timbo; Alghifari, Muhammad
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 2 (2023): Oktober
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i2.244

Abstract

A safe is a tool used to store items, including money, jewelry, or other assets and securities. It is claimed to be simple but carries a high risk because it makes it easy for the safe to be broken into without the owner's knowledge. A household assistant (ART) with the initials HS stole a safe from inside her employer's house located in Taman Kedoya Permai, Kebon Jeruk, West Jakarta, "The safe contained securities documents, two house certificates, and several other documents," said Kebon Jeruk Police Chief Commissioner Slamet Riyadi in Jakarta. With this, the author developed by creating a tool entitled "Machine Learning for Safe Security Based on IoT (Internet of Things) Using the Naïve Bayes Algorithm Method on the ThingSpeak Platform" equipped with RFID as safe door access, SW-420 sensors to detect vibrations in the event of a forced break-in. , a Passive Infra Red sensor to detect movement by the user, and an HX-711 Load Cell sensor to measure the volume weight of the safe to obtain 4 parameters, then the data is processed using the Naïve Bayes algorithm. Naïve Bayes is a statistical grouping that can be used to predict the probability of class members. Naïve Bayes also has extreme accuracy and speed when applied to databases with big data.
SISTEM MONITORING KENYAMANAN TOILET BERBASIS IoT MENGGUNAKAN PLATFORM BLYNK Parlaungan S., Timbo Faritcan; Novianti, Wieke; Permana, Eka; Ahmad, Hermansyah Nur
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 2 (2024): October
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i2.245

Abstract

The purpose of this research can monitor and control the comfort of IoT-based toilets (Internet Of Things) using the Blynk Platform. In general, the comfort of the toilet is known if the situation is dirty and seen directly, especially if it causes an unpleasant odor. This system aims to collect temperature, gas data and provide access to toilet condition information to cleaners easily and quickly through an application integrated with Blynk. In monitoring comfort in toilets, the research methods used include literature surveys to understand IoT concepts and relevant technologies, as well as a review of temperature and gas sensor technologies that are suitable for data collection. In addition, user needs analysis and system design are also carried out to ensure the availability of accurate and relevant information. From the results obtained, it is hoped that this study can help determine the condition of the toilet in realtime so that toilet comfort is more awake and users feel comfortable when using the toilet. This research can also be a reference for future researchers related to the material used.
Teknik RANCANG BANGUN JEMURAN PAKAIAN PINTAR BERBASIS IOT MENGGUNAKAN PLATFORM THINKSPEAK: RANCANG BANGUN JEMURAN PAKAIAN PINTAR BERBASIS IOT MENGGUNAKAN PLATFORM THINKSPEAK Faritcan Parlaungan Siallagan, Timbo; Faelasivah, Fiky; Anestasya S, Sellyna
Jurnal Teknologi Informasi dan Komunikasi Vol 17 No 1 (2024): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v17i1.248

Abstract

Ketergantungan manusia pada panas matahari untuk mengeringkan pakaian belum dapat ditinggalkan, karena belum adanya alat dan teknologi . Pemanasan global yang sekarang ini sedang terjadi menyebabkan musim di Indonesia menjadi kurang menentu, sehingga musim kemarau dan musim penghujan sudah tidak dapat diprediksikan lagi. Tujuan dari penelitian ini adalah merancang sistem tempat jemuran pakaian berbasis IOT dalam mengeringkan pakaian secara efisien dengan memilah berdaskan cuaca[1]. Perancangan masalah jemuran ini menggunakan Arduino Uno sebagai pengolah data, sensor LDR dan sensor Hujan sebagai parameter untuk mendeteksi cuaca. Hasil dari sensor tersebut dikirim melalui modul ESP8266 ke platform Thingspeak untuk ditampilkan pada sistem. Fungsi sistem perancangan ini yaitu servo akan secara otomatis membuka dan menutup sesuai dengan cuaca yang di input oleh sensor cahaya dan hujan.[2]
Garbage Disposal Information System Using Internet of Things Faritcan Siallagan, Timbo
International Journal of Management Science and Information Technology Vol. 3 No. 1 (2023): January - June 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v3i1.923

Abstract

The waste management carried out by the Puri Panji Kencana Residential and Buana Grand Subang Housing Communities, West Java, is related to the community's perception of waste and the condition of the area where they live. Therefore, this study aims to determine the public's perception of waste, the waste management system, and the public's perception of the effectiveness of waste management in areas with different topography. This study used a survey method with data collection techniques in the form of distributing questionnaires to the respondents. The sampling technique used in this study was quota sampling by selecting 90 respondents in the three research areas. The analysis technique used is the crosstabs and chi square techniques obtained using the SPSS program. The results of this study indicate that people in the three regions with different topography have a positive perception of waste and regard waste as items that can still be recycled. There are differences in waste management in the three research locations, the flatter an area, the better the level of waste management. The effectiveness of waste management according to public perceptions from various aspects is more felt by people in flat and slightly wavy topography.