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All Journal Jurnal Mahasiswa TEUB Sistemasi: Jurnal Sistem Informasi JTT (Jurnal Teknologi Terpadu) CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Varian TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Bumigora Information Technology (BITe) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Mitra Mahajana: Jurnal Pengabdian Masyarakat Jurnal Abdimas Bina Bangsa ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi JASTEN (Jurnal Aplikasi Sains Teknologi Nasional JAIM: Jurnal Aliansi Ilmu Multidisiplin
Sirojul Hadi
Universitas Bumigora
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Plume Detection System Based Internet of Things I Nyoman Susila Astraning Utama; Sirojul Hadi; I Putu Hariyadi
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.285 KB) | DOI: 10.30812/ijecsa.v1i1.1698

Abstract

Security is one of the important aspects in a system or environment. Residential, office, tourist and industrial areas are places that are prone to fires because they contain flammable objects. Slow handling when a gas leak occurs can trigger a fire. The solution that can be used to minimize the occurrence of fires is to build tools that work to monitor the condition of the room or environment that is prone to leakage of gas or other flammable liquids. The design and manufacture of a system to detect LPG and alcohol gas leaks can be useful for providing information in the event of a gas or alcohol leak so that it can be handled quickly and minimize fire damage. This system combines an plume detection system with an internet of things system so that it can provide information when a gas or flammable liquid leak occurs. The gas leak information is sent as a notification to the telegram from the operator. The design and manufacture of this system uses the Waterfall methodology with the following stages: analyzing (covering the need for system creation), system design (including designing electronic circuits and web monitoring interfaces), implementing system design and testing the system as a whole. The result of this research is that an electronic detection system has been successfully built that can distinguish gases and can provide information via telegram and web if gas is detected in the sensor environment. In the LPG gas leak test, the results show that the characteristics of LPG gas, namely the sensor output voltage, have an average of 4.17 volts with an average Part Per Million (PPM) of 8340 and the characteristics of alcohol gas, namely the sensor output voltage, have an average of 0, 13 volts with an average Part Per Million (PPM) of 254.
Designing a Honey Quality Tool Based on Gas Sensor and Color Sensor Al Bima; Sirojul Hadi; M. Najmul Fadli; Nurul Hidayah; Lalu Danu Prima Arzani
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 2 (2022): September 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.267 KB) | DOI: 10.30812/ijecsa.v1i2.2407

Abstract

Honey has many benefits. Thus, honey counterfeiting often occurs with the ever-increasing demand. However, many do not know how to distinguish between real and fake honey, even honey breeders and hunters find it difficult to tell the difference. The honey used to test the quality of honey is honey produced by Apis dorsata bees or wild bees, the nectar consumed by these bees is the kesambi tree, the kesambi tree that grows a lot on the slopes of Mount Tambora, Bima district. Honey contains a lot of antioxidants such as vitamin C, pinocembrin, chrysin, pinobaksin, catalase, and many other ingredients that are very beneficial for the health of the body. Testing the authenticity of honey using two sensors, namely a gas sensor and a color sensor, the tool has been connected to a database and web application to display test data. The web application can be accessed from any location as long as it is connected to the internet network. The results of the research are the ideal distance for measurements is carried out as far as 2 cm. The success rate in testing pure honey with a mixture of honey has different values, such as the value of pure honey has a gas sensor voltage of 3.3 volts while the value of mixed honey with 50% pure honey and 50% sugar, the value of the gas sensor voltage is 2.54 volts. Mixed honey has a voltage below 3 volts. The results of the color sensor test, namely the sensor output have different values, the RGB value for pure honey is red 206, green 246, and blue 182 while the RGB value for mixed honey is for 20% pure honey and 80% sugar mixture produces an RGB value of Red 156, Green 210, Blue 171. The color sensor can distinguish between real honey and mixed honey for trigona honey.
Implementasi Rangkaian LED dan DC Water Pump pada Miniatur Taman sebagai Media Belejar untuk Siswa Difabel Sirojul Hadi; Anthony Anggrawan; M Najmul Fadli; Kurniadin Abd Latif; Muhammad Zulfikri; Tomi Trisujaka; Rini Anggriani
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v4i1.2935

Abstract

Students with disabilities are special students who have equal opportunities to be independent and able to develop themselves. Through learning and increasing creativity and innovation, students with disabilities will be able to compete and contribute to progress and development of self-ability in the community environment. The rapid development of technology requires children to learn from an early age. The first step to foster children's interest in learning about technology is to create technology-based learning media. Therefore community service is carried out with the aim that students with disabilities can learn about technology and can create a work that is used as a medium for learning about technology. The PkM method used is the experimental method. The result of the PkM that has been implemented is that students can enthusiastically learn about technology such as making led circuits and water pump circuits. Six deaf students were able to successfully make LED circuits and water pump circuits for a miniature garden.
Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm Ni Gusti Ayu Dasriani; Sirojul Hadi; Moch Syahrir
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 23 No 1 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i1.3581

Abstract

Population growth is increasing every year. Population growth causes an increase in population density in a country. The largest population density is in urban areas. Fires in a city with a high population density will potentially cause greater damage. Material and non-material losses due to fire can be caused by not functioning maximally early warning systems, especially fire detection. In addition, other factors, such as system errors in detecting fires, can potentially cause fires. This research aims to build an intelligent system that can minimize building fire detection errors to reduce user material losses. The intelligent system can classify fire potential into four classifications, namely ”very dangerous,” ”dangerous,” ”alert,” and ”safe.” The method used in this research is Research and Development (R&D) with artificial intelligence using the Na¨ıve Bayes method, which has been integrated with the Internet of Things (IoT). This research shows that the Na¨ıve Bayes algorithm can be used to classify fire potential, proven by the overall system testing accuracy of 93.33% with an error of 6.77%.
A Robust Gender Recognition System using Convolutional Neural Network on Indonesian Speaker I Nyoman Switrayana; Sirojul Hadi; Neny Sulistianingsih
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.3698

Abstract

Voice is one of the biometrics that humans have. Humans can be recognized by the sounds produced by their vocal cords and vocal tracts. One of the uses of voice is to recognize gender. Despite extensive research, gender recognition using machine learning remains unsatisfactory due to the complexity of voice features and the limitations of conventional algorithms. In this research, voice-based gender recognition is performed by applying deep learning. The deep learning model used is the Convolutional Neural Network (CNN). The input of CNN is the result of feature extraction from the Mel-Frequency Cepstral Coefficients (MFCC) method. MFCC produces Mel-Spectograms which are important features of sound. The dataset used is Indonesian speech. In the research, there are imbalanced and balanced dataset scenarios to see the performance of the model. To produce a balanced dataset, random undersampling is performed on the majority class. In addition, the effect of dividing training and testing data with a composition of 70:30, 80:20, and 90:10 was observed. The results show that the model has 100% accuracy for all imbalanced dataset scenarios. Then the highest accuracy is 99.65% for the balanced dataset scenario with 70:30 splitting. In summary, it can be concluded that CNN performs very well in identifying gender from voice features overall, although its performance decreases when random undersampling is applied to the dataset.
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier Muhammad Zulfikri; Wirajaya Kusuma; Sirojul Hadi; Husain Husain; Rifqi Hammad; Lalu Zazuli Azhar Mardedi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.3921

Abstract

Driving at high speed and recklessly is the main cause of traffic accidents. In several places speed bumps are installed as a medium to warn drivers to slow down the speed of the vehicle, but the installation of speed bumps in several places has become a problem in itself with inconvenience for drivers traveling at low speeds, so it is necessary to develop an intelligent system to warn drivers when speeding. vehicles break safety boundaries, making drivers safer and more comfortable. At the vehicle identification stage, a combination of the Adaptive Background Subtraction method with the Haar Cascade Classifier is proposed, and vehicle speed estimation is carried out by calculating the time difference in the detection area or Region of Interest (ROI). Testing was carried out using traffic videos with three conditions, namely day, evening and night, with each condition using the same object data, namely 55 images of car objects. The proposed method produces car detection accuracy with an average of 85% and MSE 0.5 in vehicle speed measurements.
Smart Farming System on Red Onion Plants Based on the Internet of Things Sirojul Hadi; Anzali Ika Cahyati; Kurniadin Abd Latif; Tomi Tri Sujaka; Muhammad Zulfikri
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2860

Abstract

Red Onions are agricultural commodities that are a source of income for farmers and can make a major contribution to Indonesia's economic development. The characteristic of the onion plant is that it requires a lot of sunlight. The sunlight needed for photosynthesis is 70% with an ambient temperature range of 25oC-32oC and soil moisture in the range of 50%-70%. Although red onions require a lot of water, these plants are sensitive to high-intensity rainfall. The critical period of the red onion plants is in the tuber formation phase so it is necessary to control it to get maximum production results. The method of making the smart farming system uses the Research and Development (R&D) method while sending data online to the web uses the Internet of Things (IoT) method. The result of this research is that a monitoring and control system for temperature and humidity has been successfully built on red onion plants. The system built is capable of measuring temperature with an accuracy rate of 95.33% and environmental humidity in plants reaching 92.07% while the accuracy of testing the entire system reaches 93.33%. The smart farming system has been able to automatically irrigate and apply fertilizer. Control of irrigation and application of fertilizers by the system has implications for better shallot growth and creates modern agriculture.
INDUCTIVE CHARGING PORTABEL DENGAN PANEL SURYA SEBAGAI PENGISIAN BATERAI HANDPHONE YANG MUDAH DAN PRAKTIS Alfarid; Ni Putu Agustini; M. Ibrahim Ashari; Radimas Putra Muhammad Davi Labib; Zulfikar Zauzi; I Made Wartana; Reza Diharja; Sirojul Hadi; Parama Diptya Widayaka
JASTEN (Jurnal Aplikasi Sains Teknologi Nasional) Vol. 5 No. 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jasten.v5i1.10054

Abstract

Penggunaan teknologi ponsel tidak dapat dilepaskan dari penggunaan charger. Charger umumnya digunakan membutuhkan energi listrik dari PLN dan generator. Panel surya dapat menjadi solusi sebagai alternatif baru untuk menyediakan sumber energi listrik. Induktif charging yang menggunakan elektromagnetik dalam sistemnya tidak memerlukan kabel saat digunakan. Alat ini menggunakan dua lilitan kumparan, yaitu lilitan primer yang terhubung dengan powerbank, dan lilitan sekunder untuk menerima dan mentransfer tegangan ke beban, dalam hal ini handphone. Hasil penelitian menunjukkan bahwa panel surya berfungsi sesuai dengan intensitas sinar matahari. Jika panel surya terkena cahaya matahari yang tidak maksimal atau cuaca berawan, tegangan output yang dihasilkan mengalami penurunan drastis. Baterai powerbank dapat menerima daya dari panel surya dengan baik, sehingga powerbank dapat terisi selama 460 menit dengan tegangan output sebesar 4 volt. Baterai handphone dapat menerima daya dari powerbank dengan rata-rata kenaikan setiap 1% baterai memerlukan waktu 8,5 menit. Sistem pengisian induktif dalam penelitian ini menggunakan panel surya 3 WP dengan sistem pembangkit sinyal gelombang sinus frekuensi 90 kHz dan dua kumparan sebagai sistem transmisi energi berbasis inductive charger.
Incorporating Environmental Issues in Teaching and Learning English in Ampenan (Jangkok River) Dewi, Puspita; Yuliatin, Riyana Rizki; Ibrahim, Isra Dewi Kuntary; Satya HD, Dharma; Hadi, Sirojul; Wardhana, Helna
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 2 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i2.2636

Abstract

English becomes one of the most fundamental subjects should be taught in a tourist destination including in the seashore area in Ampenan (Kota Tua). Collaboration with the youth community namely Ibra and Yayasan Saling Jaga Indonesia (previously the name is Yayasan Saling Jaga Indonesia). Community has a positive impact on the area involving economic and environmental aspects. Teaching English with implementing Rubbish Payment (one of RELASI’s program) encourage children and young people to be more aware to their environment and maintain the seashore place to become a good tourism place in Mataram. Some certain materials concern on environmental matter therefore by imbedding environmental issue in the materials pursue and open up the learners’ mind to be more aware to their surroundings, particularly to the plenty of rubbish in the seashore. Communicative teaching methods and designed authentic materials used in the teaching and learning process. It is expected that this program could promote and assist the government of West Nusa Tenggara to reduce, reuse, and recycle plastics that becomes one of the most current problems in the worlds, especially in West Nusa Tenggara.
Peningkatan Spelling English dengan Pronunciation Test Menggunakan Internet of Things untuk Siswa Disabilitas Hadi, Sirojul; Solehah, Novia Zuriatun; Aprianto, Dedi; Sabtana, Fayruziyah Ifroch
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2024): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v5i1.3450

Abstract

Sekolah Luar Biasa Negeri 2 Mataram (SLB Negeri 2 Mataram) merupakan sekolah negeri dengan jenjang pendidikan SD, SMP, dan SMA yang seluruh siswanya merupakan penyandang disabilitas. SLBN 2 Mataram memiliki jumlah siswa sebanyak 179 siswa dengan rincian sebagai berikut, yaitu 96 siswa SDLB, 47 siswa SMPLB, dan 36 siswa SMALB. Jumlah siswa penyandang Tuna Grahita sebanyak 80 siswa dengan rincian sebagai berikut yaitu 50 siswa SD, 17 siswa SMP, dan 13 siswa SMA. Permasalahan yang dihadapi oleh SLB Negeri 2 Mataram adalah kurangnya media pembelajaran yang digunakan untuk penyandang Tuna Grahita. Siswa tunagrahita memiliki kondisi intelektual di bawah rata-rata sehingga mereka akan mengalami kesulitan dalam menerima materi pembelajaran dengan metode dan media yang umum digunakan. Tujuan dari pengabdian ini yaitu dapat meningkatkan daya ingat siswa dalam memahami materi pembelajaran bahasa inggris. Metode atau strategi yang dilakukan dalam Pengabdian Kepada Masyarakat ini terdiri dari dua tahap, yaitu tahap pengembangan alat dengan mengacu pada kondisi siswa penyandang disabilitas, dan tahap kedua adalah tahap implementasi penggunaan alat untuk siswa penyandang disabilitas. Hasil dari pengabdian ini adalah mampu meningkatkan minat belajar bagi siswa penyandang disabilitas dan memudahkan siswa dalam belajar terkait pelafalan bahasa Inggris dengan baik dan benar. Implikasi dari pengabdian ini yaitu dapat memudahkan guru dalam menyampaikan materi pembelajaran khususnya dalam bahasa inggris, kemudian untuk siswa, dapat meningkatkan daya ingat dan cara pengucapan kata dalam bahasa inggris.
Co-Authors Al Bima Alfarid Andi Heryanto Andi Sofyan Anas Anthony Anggrawan Anzali Ika Cahyati Apriani Apriani Aryuanto Soetedjo Astuti, Emi Ayu Dasriani, Ni Gusti Bachtiar, Adam Bima Romadhon Parada Dian Palevi Christopher Michael Lauw Citra Dewi Megawati Dedi Aprianto Dewi, Puspita Eka Martiningsih, Ni Gst.Ag. Gde Fadli, M. Najmul Fadli, Muhammad Najmul Fatimatuzzahra Fatimatuzzahra Hamdani Hamdani Hammad, Rifqi Hasbullah Hasbullah Helna Wardhana Husain Husain I Ketut Arnawa I Made Suryana I Made Wartana I Nyoman Miyarta Yasa I Nyoman Susila Astraning Utama I Nyoman Switrayana I Putu Hariyadi Ibrahim, Isra Dewi Kuntary Irmalia Suryani Faradisa Jian Budiarto Khairan marzuki Kurniadin Abd Latif Kurniawan Aji Pangestu Lalu Danu Prima Arzani Lalu Ganda Rady Putra Lilik Widyawati M Najmul Fadli M. Ibrahim Ashari M. Ibrahim Ashari M. Najmul Fadli Mardedi, Lalu Zazuli Azhar Mudjirahardjo, Panca Muhamad Wisnu Alfiansyah Muhammad Eka Putra Ramandha Muhammad Haris Nasri Muhammad Zulfikri Nanang Sulistiyanto Neny Sulistianingsih Ni Putu Agustini Ni Putu Agustini Novia Zuriatun Solehah Nurul Hidayah Parama Diptya Widayaka Phyta Rahima Prama Diptya Widayaka Puspita Dewi, Puspita Putri Ayu Wulandari Rachmadi Setiawan Radhitya, I Made Surya Radimas Putra M.D.L Radimas Putra Muhammad Davi Labib Rahmiati, Baiq Fitria Regina Pricilia Yunika Reza Diharja Reza Diharja Reza Diharja Rifqi Hammad Rifqy Hammad Rini Anggriani Riyana Rizki Yuliatin Sabtana, Fayruziyah Ifroch Satya HD, Dharma Siti Soraya Sujaka, Tomy Tri Syahrir, Moch. Tomi Tri Sujaka Triwijoyo, Bambang Krismono Wahyu Kamil Syarifaturrahman Wardhani Wardhani Wayan Canny Naktiany Wirajaya Kusuma Yunika, Regina Pricilia Zulfikar Zauzi Zulfikar Zauzi