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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 Mejuajua 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 Prosiding Seminar Nasional CORISINDO
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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PENDAMPINGAN PASCA PANEN KOPI UMKM ULY LASINGAN DESA SANTONG LOMBOK UTARA Hadi, Sirojul; Apriani, Apriani; Prima Arzani, Lalu Danu; Eka Martiningsih, Ni Gst.Ag. Gde; Arnawa, I Ketut; Suryana, I Made
Jurnal Abdimas Bina Bangsa Vol. 6 No. 1 (2025): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v6i1.1524

Abstract

Uly Lasingan UMKM faces problems in terms of production and marketing. In terms of production, the problem faced is the lack of drying space and storage for coffee beans. Traditional drying that relies on sunlight causes a long drying time, so the partner's production capacity is highly dependent on the coffee drying process by each farmer which takes 14-20 days. Currently, partners are able to produce up to 600 kg per month, with a breakdown of 300 kg for their own products and 300 kg for roasting services. Every time they produce 300 kg, 240 kg of coffee skin waste is produced which has not been utilized and is only thrown away, even though this waste has the potential to provide added value to UMKM if processed. This production is still relatively small because partners do not have coffee bean storage facilities, so coffee beans are only purchased before the production process, which reduces production effectiveness. Previously, partners had also produced banana sale with a capacity of 2 kg per day, but this activity was stopped due to an earthquake. Meanwhile, in terms of marketing, the problem faced by Uly Lasingan UMKM is the absence of adequate financial records or bookkeeping so that the UMKM will find it difficult to measure business performance and manage cash flow. The purpose of the community service activity is to improve the quality and sales value of post-harvest coffee, increase the knowledge and skills of partners in implementing effective marketing strategies, financial records and effective and efficient organizational management. The method used is five stages of activity, namely socialization, training, technology application, technical assistance and evaluation and program sustainability. The results of this community service activity are the existence of a drying room based on PLTS and IoT, an increase in the amount of raw coffee materials from independent drying by partners, an oil draining machine to revive the banana sale business, procurement of a financial management system and website-based promotion, increasing knowledge and skills about post-harvest handling of coffee through pretests and posttests. The pre-test and post-test results also showed an increase in the level of knowledge of partners from the level of not knowing by 67.19% down to 0.00% and the level of knowing increased from 5.73% to 36.84% and the level of knowing very much increased from 0.52% to 2.11%. This change in the level of knowledge was also reflected in the responses of participants during the training session.
Pelatihan Detector Kebocoran Liquid Petroleum Gas (LPG) Sebagai Media Belajar Teknologi Hadi, Sirojul; Dewi, Puspita; Soraya, Siti; Yasa, I Nyoman Miyarta; Yunika, Regina Pricilia
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 1 (2022): Jurnal Ilmiah Pengabdian dan Inovasi (September)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (900.791 KB) | DOI: 10.57248/jilpi.v1i1.6

Abstract

Fires in homes can be caused by short circuits and leakage of Liquid Petroleum Gas (LPG). LPG gas leaks are very dangerous because apart from being able to cause fires, they can also cause explosions so LPG leaks need to be dealt with quickly so as not to cause greater damage. One way to overcome this is by training the community to make LPG gas detectors. The result of the PKM is that effective training can be carried out for junior high school children, senior high schools, and the general public.
Sosialisasi dan Pelatihan Pembuatan Pupuk Organik Cair dan Pestisida Nabati Daun Gamal Pada Kelompok Tani Murpujung Lombok Utara Apriani, Apriani; Arzani, Lalu Danu Prima; Hadi, Sirojul
Darmabakti : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 6 No 01 (2025): Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Lembaga Peneliian dan Pengabdian Masyarakat (LPPM) Universitas Islam Madura (UIM)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kelompok tani Murpujung di Lombok Utara merupakan salah satu komunitas pertanian yang berfokus pada budidaya kakao, namun menghadapi kendala serius berupa penurunan produktivitas yang disebabkan oleh serangan hama penggerek buah kakao (PBK). Kegiatan pendampingan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan kelompok tani melalui sosialisasi dan pelatihan pemanfaatan daun gamal sebagai bahan utama dalam pembuatan pupuk cair dan pestisida nabati. Metode yang digunakan mencakup penyampaian materi secara teoritis dan praktik mandiri oleh peserta. Hasil kegiatan ini menunjukkan adanya peningkatan signifikan dalam pemahaman peserta terkait sanitasi kebun, serta teknik pembuatan pupuk dan pestisida berbahan dasar daun gamal. Berdasarkan evaluasi, terjadi peningkatan pada kategori pemahaman "tahu" dari 16,80% menjadi 44,00% dan pada kategori "sangat tahu" dari 0,07% menjadi 36,41%. Sementara itu, kategori "tidak tahu" mengalami penurunan dari 48,40% menjadi 12,33%, menunjukkan efektivitas kegiatan ini dalam transfer pengetahuan
DESAIN SISTEM EMBEDDED UNTUK DETEKSI KEBAKARAN BERBASIS SENSOR INFRAMERAH NON-KONTAK Fadli, Muhammad Najmul; Hadi, Sirojul
JAIM: Jurnal Aliansi Ilmu Multidisiplin Vol. 1 No. 1 (2025): Januari 2025
Publisher : CV Sentra Nusa Connection

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63545/jaim.v1.i1.125

Abstract

Kebakaran gedung memiliki dampak yang sangat signifikan yang bersifat langsung maupun tidak langsung, mencakup aspek keselamatan manusia, kerugian ekonomi, dan kerusakan lingkungan. Kebakaran gedung dapat mengancam nyawa penghuni maupun petugas penyelamat. Kebakaran dapat menghancurkan aset bernilai tinggi seperti peralatan elektronik, dokumen penting, dan inventaris bisnis. Selain itu, kebakaran dapat melepaskan zat beracun seperti dioksin, hidrogen sianida, dan logam berat dari material yang terbakar (misalnya plastik, cat, atau bahan kimia). Agar mengurangi dampak akibat kebakaran, maka dikembangkan teknologi detektor kebakaran. Tujuan penelitian ini yaitu membangun detektor kebakaran agar dapat memberikan peringatan dini jika terjadi potensi kebakaran. Metode yang digunakan yaitu Research and Development (R&D). Hasil pengujian menunjukkan performa sistem yang konsisten seperti kemampuan deteksi suhu yang andal, ditunjukkan oleh perbedaan signifikan antara pembacaan rata-rata suhu ambient (29°C) dan kondisi eksposur api (52°C) dan responsivitas sistem yang cepat dengan waktu respon rata-rata 5 detik. Dapat disimpulkan bahwa detektor kebakaran ini dapat bekerja dengan baik.
Rancang Bangun Sistem Penyiraman Otomatis Berbasis Internet of Things Pada Tanaman Hias Sirih Gading Wulandari, Putri Ayu; Rahima, Phyta; Hadi, Sirojul
Jurnal Bumigora Information Technology (BITe) Vol. 2 No. 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v2i2.886

Abstract

Kemajuan teknologi dari waktu ke waktu telah berkembang dengan pesat sehingga dapat memberikan banyak kemudahan bagi manusia untuk melakukan pekerjaan sehari-hari seperti melakukan perawatan pada tanaman hias yang berada di dalam rumah. Salah satu contoh tanaman hias yang ada dirumah yaitu tanaman sirih gading. Untuk merawat tanaman diperlukan air untuk melakukan penyiraman. Penyiraman yang teratur merupakan rutinitas penting di lakukan untuk menjaga tanaman terus tumbuh dan berkembang. Pekerjaan yang dilakukan secara rutin dan terjadwal dapat dilakukan dengan memanfaatkan teknologi sensor dan internet of things (IoT) untuk melakukan kontrol dan pemantauan. Teknologi tersebut dapat digunakan untuk membangun sistem yang berfungsi untuk melakukan perawatan dan penyiraman pada tanaman hias sirih gading. IoT merupakan sebuah sistem yang memungkinkan setiap device dapat berkomunikasi, melakukan kontrol dan pemantauan melalui jaringan internet. Hasil yang dicapai setelah penelitian ini dilakukan yaitu dihasilkan sebuah sistem penyiraman otomatis berbasis internet of things dengan menggunakan NodeMCU yang terintegrasi dengan Telegram untuk melakukan perawatan dan penyiraman pada tanaman hias sirih gading. Hasil dari penelitian ini yaitu suhu lingkungan pada tanaman berada pada rentang 24oC–29oC dan rata-rata error pengukuran suhu menggunakan sensor DHT11 yaitu sebesar 2,07%. Pengukuran kelembaban tanah pada tanaman hias sirih gading berada pada rentang 47%-65%.
Monitoring Konsumsi Listrik Rumah Tangga Berbasis Internet of Things Terintegrasi dengan Virtual Private Server: Household Electricity Consumption Monitoring Based Internet of Things Integration with Virtual Private Server Radhitya, I Made Surya; Hadi, Sirojul; Bachtiar, Adam
Jurnal Bumigora Information Technology (BITe) Vol. 3 No. 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1326

Abstract

Most household appliances use electricity as their energy. The need for electricity from year to year is getting bigger. Measurement of electrical power usage is usually done using simple measuring instruments and recording is still manual so that the data obtained cannot be done all the time and the results take too long to obtain. The appropriate technology for this problem is the Internet of Things (IoT) based electrical power monitoring system technology. capable of providing accurate and real-time results. The methods carried out are arranged in several stages, starting from data collection, design, configuration, implementation. The tools used in this research will use NodeMCU as the microcontroller, ACS712 current sensor as the electric current sensor, Virtual Private Server (VPS) as the web server. The results of this study are an electrical power monitoring system that makes it easier to monitor electrical power at home. The accuracy of power measurement by the system is 92.87%. Based on the error value, the electricity consumption monitoring system is good enough to be implemented at home.
Smart Farming System on Red Onion Plants Based on the Internet of Things Hadi, Sirojul; Cahyati, Anzali Ika; Latif, Kurniadin Abd; Sujaka, Tomi Tri; Zulfikri, Muhammad
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.
Speed Bump System Based on Vehicle Speed using Adaptive Background Subtraction with Haar Cascade Classifier Zulfikri, Muhammad; Kusuma, Wirajaya; Hadi, Sirojul; Husain, Husain; Hammad, Rifqi; Mardedi, Lalu Zazuli Azhar
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.
A Robust Gender Recognition System using Convolutional Neural Network on Indonesian Speaker Switrayana, I Nyoman; Hadi, Sirojul; Sulistianingsih, Neny
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.
Introducing Children of Environmental Issue in Sekotong Timur Through Project Based Learning Dewi, Puspita; Yuliatin, Riyana Rizki; Hadi, Sirojul; Syarifaturrahman, Wahyu Kamil; Latif, Kurniadin Abd; Sujaka, Tomi Tri; Ramandha, Muhammad Eka Putra; Fatimatuzzahra, Fatimatuzzahra
Mitra Mahajana: Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2022): Volume 3 Nomor 2 Tahun 2022
Publisher : LPPM Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/mahajana.v3i2.1834

Abstract

Nowadays, the environmental issue is one of the biggest problems worldwide. It is because the climate change deteriorates from time to time; the earth becomes warmer, and pollution polluted the environment. Humans have a pivotal role in changing the earth because they damage the ecosystem by using numerous plastics, throw many of rubbish, and cutting plenty of trees. As a result, climate change and global warming become worse. Consequently, all stakeholders need to take the responsibility to protect the earth. Some groups blame the government; however; environmental issues are the government’s responsibility and all society’s matters, including academicians. This community service activity was conducted in one of the remote areas in Bunbeleng village, East Sekotong district, East Lombok. The Project was held by Relawan Saling Jaga Indonesia (Relasi) funded by Direct Aid Program (DAP) Australian Consulate-General, Bali Indonesia coordinated by Isyatul Mardiah. This project was conducted based on Project-based Learning (PBL). There are five stages in implementing this project: planning the project, monitoring the project, presenting the project, and evaluating the project. The environment topics were elaborated in this community through the PBL. After the program, the students have more knowledge in reducing, recycling, and reusing plastics and green programs with planting trees. The students were very enthusiastic and motivated. The collection of the project was exhibited isn the classroom.
Co-Authors Al Bima Alfarid Andi Heryanto Andi Sofyan Anas Anthony Anggrawan Apriani Apriani Aryuanto Soetedjo Astuti, Emi Ayu Dasriani, Ni Gusti Azhar, Raisul Bachtiar, Adam Bima Romadhon Parada Dian Palevi Bima, Al Cahyati, Anzali Ika Christopher Michael Lauw Citra Dewi Megawati Darma Asasih, Widani Dedi Aprianto Dewi, Puspita Eka Martiningsih, Ni Gst.Ag. Gde Fadli, M. Najmul Fadli, Muhammad Najmul Fatimatuzzahra Fatimatuzzahra Hamdani Hamdani Hammad, Rifqi Hariyadi, I Putu Hasbullah Hasbullah Helna Wardhana Husain 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 Nurul Hidayah Parama Diptya Widayaka Phyta Rahima Prama Diptya Widayaka Puspita Dewi, Puspita Putri Ayu Wulandari Putri Ayu Wulandari, Putri Ayu Rachmadi Setiawan Radhitya, I Made Surya Radimas Putra M.D.L Radimas Putra Muhammad Davi Labib Rahmiati, Baiq Fitria Rana, Dwi Regina Pricilia Yunika Reza Diharja Reza Diharja Reza Diharja Rifqy Hammad Rini Anggriani Riyana Rizki Yuliatin Sabtana, Fayruziyah Ifroch Satya HD, Dharma Siti Soraya Sujaka, Tomi Tri Sujaka, Tomy Tri Sukma, I Gusti Ayu Yunita Syahrir, Moch. Tomi Tri Sujaka Triwijoyo, Bambang Krismono Utama, I Nyoman Susila Astraning Wahyu Kamil Syarifaturrahman, Wahyu Kamil Wardhani Wardhani Wayan Canny Naktiany Wirajaya Kusuma Yunika, Regina Pricilia Zulfikar Zauzi Zulfikar Zauzi Zulfikri, Muhammad