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Pendeteksi Warna Berbasis Arduino pada Aplikasi Deteksi Kematangan Buah-Buahan Atthariq, Atthariq; Febriansyah, Aan; Salfikar, Inzar
Manutech : Jurnal Teknologi Manufaktur Vol. 16 No. 02 (2024): Manutech: Jurnal Teknologi Manufaktur
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/manutech.v16i02.375

Abstract

This research leads to the designing of the main color detector Red, Green Blue (RGB) which is applied to the detection of fruit ripeness. The purpose of this research is to help fruit farmers who wants to ensure the maturity condition of the fruits to be harvested. This research uses a scientific approach with the scientific concept of the Closest Pair Point algorithm and the use of the TS3200 color sensor. Closest Pair Point Algorithm is an algorithm that solves the problem of finding the shortest distance between a set of points in a two-dimensional plane. The TCS3200 color sensor is a converter programmed to convert color into a frequency composed of a silicon photodiode configuration and a current-to-frequency converter in a single monolithic CMOS IC. The output of this sensor is a square wave (duty cycle 50%) frequency which is directly proportional to the light intensity (irradiance). The results of the censorship process in the form of RGB numeric values ??will be compared with the original RGB values ??of the maturity provisions of a type of fruit, so that it can provide a resume for determining whether the fruit is ripe or not. The accuracy values ??obtained range between 73,87% - 93,12%.
Loker Penyimpanan Kunci Laboratorium Otomatis dengan RFID Berbasis Raspberry Pi Rizki Faulianur; Inzar Salfikar; Ahyar Mustafa
J-Innovation Vol. 14 No. 1 (2025): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55600/jipa.v14i1.327

Abstract

In Vocational colleges, the high activity of students in the laboratory for practical activities, research, and others makes the use of the laboratory more optimal so that it is difficult to monitor its use. This results in a lack of information on the track record of laboratory use. So if the key and laboratory equipment are lost, it is very difficult to identify. The laboratory key security system based on Radio Frequency Identification (RFID) and Raspberry Pi is one solution that can be used for a security system compared to the conventional physical locker key system. This system uses Raspberry Pi as the main controller to control the lock mechanism on the locker. This system aims to provide convenience and security in the use of lockers using miniature computing technology. This system consists of Raspberry Pi as a control center, solenoid lock door to move the lock mechanism, LCD screen to display information to users, and RFID as a user authentication method before opening the locker. This tool is also able to inform the day and time of taking the locker key recorded on the website. By using this system, users can easily access the locker and can more easily find out the track record of taking the laboratory key. The results of the study, from 7 users registered in the system, all of them successfully opened the locker with a success rate of 100%. The response time to open and close the locker door is a maximum of 60 seconds. Users who access the locker can be recorded on the website regarding the date and time of locker access.
Kontrol Nutrisi Tanaman Hidroponik Berbasis Monitoring Internet of Things Rouhillah, Rouhillah; Salfikar, Inzar; Ichan, Maulidi
Elektron : Jurnal Ilmiah Volume 14 Nomor 2 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.2.306

Abstract

Hydroponics is a way of farming that does not use soil, but only uses water that contains nutrients. The growth of hydroponic plants can be influenced by various factors, one of which is a lack of water nutrition in hydroponic plants. Therefore, this study aims to create a system that functions to control water nutrition, as well as the availability of sufficient water in hydroponic reservoirs. This control process uses NodeMCU esp8266 and processes sensor data and then sends it to firebase which will be displayed to Android with Internet of Thing (IoT) technology. If the nutritional condition being monitored is reduced, this nutrition control device will receive input from the sensor to add nutrients automatically. The addition of nutrients uses an on-off control system, when the TDS sensor reads the water nutrients are reduced the nutrient pump will be on until it reaches the initial nutrient setpoint, then the nutrient pump will be off. The result of reading sensor data obtains the percentage error for the Total Dissolve Solid (TDS) sensor with a comparison of TDS meter of 5.746%.
Implementasi Flow Sensor untuk Monitoring Debit Air pada Proses Pengisian Air Galon Air pada Proses Pengisian Air Galon Rouhillah; Inzar Salfikar; Andrian Maulana
J-Innovation Vol. 14 No. 1 (2025): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55600/jipa.v14i1.333

Abstract

Automatic monitoring of water volume during gallon filling is a technology increasingly important in the water filling industry, particularly for ensuring accuracy and efficiency in the distribution process. This tool aims to monitor the water flow rate during the filling of mineral water gallons using a Flow Sensor. An Arduino Uno serves as the controller for this system. When the water pump is activated to fill the gallon, the flow sensor measures the amount of water flowing through it by generating pulses, which are then sent to the Arduino Uno for processing and calculation of the water flow rate. The results of these calculations are displayed on an LCD screen, stored in EEPROM memory for long-term data recording, and can be monitored remotely via a smartphone. This gallon water filling tool has a system accuracy percentage of 98%.
Automatic Samples Selection Using Histogram of Oriented Gradients (HOG) Feature Distance Salfikar, Inzar; Sulistijono, Indra Adji; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 5 No 2 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v5i2.182

Abstract

Finding victims at a disaster site is the primary goal of Search-and-Rescue (SAR) operations. Many technologies created from research for searching disaster victims through aerial imaging. but, most of them are difficult to detect victims at tsunami disaster sites with victims and backgrounds which are look similar. This research collects post-tsunami aerial imaging data from the internet to builds dataset and model for detecting tsunami disaster victims. Datasets are built based on distance differences from features every sample using Histogram-of-Oriented-Gradient (HOG) method. We use the longest distance to collect samples from photo to generate victim and non-victim samples. We claim steps to collect samples by measuring HOG feature distance from all samples. the longest distance between samples will take as a candidate to build the dataset, then classify victim (positives) and non-victim (negatives) samples manually. The dataset of tsunami disaster victims was re-analyzed using cross-validation Leave-One-Out (LOO) with Support-Vector-Machine (SVM) method. The experimental results show the performance of two test photos with 61.70% precision, 77.60% accuracy, 74.36% recall and f-measure 67.44% to distinguish victim (positives) and non-victim (negatives).
Development and Performance Evaluation of a GRBL-Based CNC Router for Non-Metallic Material Engraving Rouhillah; Inzar Salfikar; M. Rifaldi
J-Innovation Vol. 15 No. 1 (2026): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55600/jipa.v15i1.389

Abstract

This study aims to design, develop, and evaluate the performance of a GRBL-based Computer Numerical Control (CNC) router for contour engraving on non-metallic materials, such as acrylic and wood. The research methodology consisted of mechanical system design, component fabrication through milling and drilling processes, mechanical and electronic assembly, GRBL firmware integration, and machine accuracy testing. Standard commercially available components were utilized to simplify the manufacturing and maintenance processes. Performance evaluation was conducted by comparing the machined dimensions with the programmed design generated using G-code. The experimental results demonstrated that the developed CNC router was capable of producing contour engravings consistent with the intended along the X-, Y-, and Z-axes. These findings indicate that the proposed system provides satisfactory accuracy for light machining and engraving applications on non-metallic materials. Therefore, the developed CNC router offers a cost-effective and reliable solution for educational activities, research, and prototype manufacturing in laboratory environments.
Peningkatan Keterampilan Vokasional Melalui Pelatihan Pengelasan Fabrikasi Meja dan Kursi Bagi Siswa SMK Negeri 2 Banda Aceh Rachmad Ikhsan; Zulfadli Zulfadli; Rizki Faulianur; Zoel Fachri; Inzar Salfikar; Rouhillah Rouhillah; Zakwansyah Zakwansyah; Mahmud Mahmud
Jurnal Vokasi Vol 10, No 2 (2026): Juli
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/vokasi.v10i2.10011

Abstract

Keterampilan praktik pengelasan merupakan salah satu kompetensi penting bagi siswa Sekolah Menengah Kejuruan (SMK) sebagai bekal memasuki dunia kerja, khususnya pada bidang manufaktur dan konstruksi. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan keterampilan vokasional siswa SMK Negeri 2 Banda Aceh melalui pelatihan pengelasan dan fabrikasi meja serta kursi berbahan besi hollow. Kegiatan dilaksanakan selama dua hari, pada tanggal 25 s/d 26 Juni 2026, dengan melibatkan sekitar 20 siswa. Metode pelaksanaan meliputi pemberian materi dasar pengelasan, prosedur penggunaan peralatan, penerapan Keselamatan dan Kesehatan Kerja (K3), diskusi, demonstrasi, serta praktik langsung secara berkelompok. Tahapan praktik mencakup membaca gambar kerja, mengukur dan menandai material, pemotongan, perakitan, pengelasan, penggerindaan, finishing, serta pemeriksaan kualitas produk. Hasil kegiatan menunjukkan bahwa seluruh kelompok mampu menyelesaikan rangka meja dan kursi sesuai gambar kerja dengan konstruksi yang kokoh dan dimensi yang sesuai rancangan. Penilaian berdasarkan ketepatan ukuran, kualitas pengelasan, finishing, penerapan K3, dan kerja sama tim menghasilkan nilai akhir antara 88,6 s/d 95,4 dengan kategori sangat baik. Kegiatan ini memberikan pengalaman praktik secara nyata serta memperkuat keterampilan teknis, kedisiplinan, kerja sama, dan penerapan K3 bagi peserta