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Sistem Monitoring Kelembapan Rumah Walet Berbasis Internet of Things Rois, Zainal; Rifqi Abrori; Sumardi; Gamma Aditya R; Bambang Sri Kaloko
ZETROEM Vol 7 No 2 (2025): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v7i2.5852

Abstract

Burung walet dikenal karena sarangnya yang bernilai tinggi, terutama dalam masakan dan pengobatan tradisional China, dengan Indonesia sebagai penghasil utama. Sarang burung walet terbuat dari air liur yang mengeras, dan kualitasnya ditentukan oleh bentuk serta warna sarang. Suhu dan kelembapan ruangan menjadi faktor penting dalam menjaga kualitas sarang, dengan suhu ideal 26–29°C dan kelembapan sekitar 80% RH. Penelitian ini mengembangkan sistem Monitoring Kelembapan Rumah Walet berbasis IoT menggunakan sensor DHT22 dan server Firebase. Sistem ini memantau kondisi rumah walet secara real-time dan mengontrol kelembapan dengan mengaktifkan pompa air melalui relay berdasarkan parameter suhu dan kelembapan. Pengujian menunjukkan keberhasilan sistem dalam menjaga kelembapan stabil di atas 80% RH, memastikan kondisi optimal untuk kualitas sarang walet.
Stop Bullying Akibat Kecanduan Gadjet Sebagai Upaya Menciptakan Lingkungan Sekolah Ramah Anak Amin, Muhammad Zainal Roisul; Wulandari, Lestyo; Kaloko, Bambang Sri
INSAN CENDEKIA : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): INSAN CENDEKIA: Jurnal Pengabdian Kepada Masyarakat
Publisher : MAN Insan Cendekia Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46838/ic.v3i1.752

Abstract

Perilaku Bullying dan kecanduan Gadget pada anak merupakan dua masalah serius yang memerlukan perhatian khusus dari guru disekolah, orangtua bahkan masyarakat. Bullying adalah bentuk perundungan yang umumnya sering ditemukan di lingkungan sekolah. Pelaku Bullying  bervariasi, Bullying bisa dilakukan oleh siswa kepada siswa lain atau bahkan bulyying bisa dilakukan oleh guru atau staf sekolah kepada siswa. Kecanduan gadget adalah sebuah kondisi yang dialami oleh pengguna gadjet gadget secara berlebih sehingga menimbulkan dampak buruk bagi kesehatan. Penggunaan gadjet ini biasanya digunakan secara berlebihan oleh anak dan berdampak buruk terhadap perilaku anak. Kegiatan Parenting tentang “Stop Bullying” dan “Kontroling anak dalam penggunaan gadjet agar tidak kecanduan Bermain Gadget” di TK Khodijah 112 Dadapan bertujuan untuk meningkatkan kesadaran orangtua untuk berperan penting dalam mengontrol penggunaan gajdet sehingga anaknya tidak kecanduan bermain gadjet sehingga berakibat mempengaruhi perilaku anak. Parenting ini juga bertujuan untuk pemahaman orangtua mengenai dampak negatif Bullying. Kecanduan bermain gadget dapat di cegah dengan pemanfaatan fiture “kontrol orangtua” pada gadjet. Peran aktif guru dan orangtua dalam mendukung dan mengawasi anak-anak mereka juga sangat penting untuk keberhasilan program ini.
Implementasi Sistem Monitoring Kualitas Fisik Air Berbasis IoT dalam Mendukung Pengelolaan Air Bersih di Desa Sukogidri Kabupaten Jember Ulfa, Evi Umayah; Kaloko, Bambang Sri; Rosyidi, Viddy Agustian; Retnani, Windi Eka Yulia; Rintyarna, Bagus Setya
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i2.17426

Abstract

Distribusi dan akses air bersih masih menjadi tantangan di wilayah pedesaan, termasuk di Desa Sukogidri, Kabupaten Jember. Meskipun desa Sukogidri telah memiliki Sistem Penyediaan Air Minum Desa (SPAM) melalui dana PAMSIMAS, namun belum tersedia sistem yang dapat melakukan pemantauan kualitas fisik air secara kontinu dan real-time sesuai Permenkes No 37 Tahun 2017. Kegiatan pengabdian masyarakat ini bertujuan untuk mengimplementasikan sistem monitoring kualitas air berbasis Internet of Things (IoT) yang dilengkapi dengan sensor suhu, pH, kekeruhan, konduktivitas, dan oksigen terlarut (DO), serta terhubung dengan aplikasi Thingview sebagai platform pemantauan data. Sistem ini dipasang di menara air SPAM Desa Sukogidri. Hasil kegiatan menunjukkan bahwa teknologi ini mampu memantau kualitas air secara efektif, memberikan data secara langsung, serta meningkatkan kapasitas pengurus SPAM melalui pelatihan teknis yang diberikan. Implementasi teknologi ini tidak hanya meningkatkan efektivitas pengelolaan sumber daya air, tetapi juga mendukung upaya peningkatan penyediaan air bersih di masyarakat desa.
IoT-based monitoring system for biodigester production and purification Suprihadi Prasetyono; Catur Suko Sarwono; Digdo Listyadi Setyawan; Azmi Saleh; Bambang Sri Kaloko; Muhammad Naufal An Nafi
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 17, No 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2026.1352

Abstract

Biogas is a promising renewable energy source, but its production and purification processes often lack real-time monitoring, leading to suboptimal yields and inconsistent gas quality. To address this gap, this study aimed to design a prototype for an integrated monitoring system based on the internet of things (IoT). The developed system facilitates the continuous observation of key parameters in both the anaerobic digestion and the subsequent purification stages. The prototype was constructed using an ESP32 microcontroller as the central processing unit, which collected data from a suite of sensors. These sensors measured critical process variables, including the digester's slurry temperature and pH, the volume of the produced gas in the gasholder, and the concentration of methane (CH₄) and hydrogen sulfide (H₂S) before and after the purification unit. Data were transmitted wirelessly via a Wi-Fi network to a cloud-based IoT platform, allowing for remote, real-time data visualization on a web dashboard. The results demonstrated that the prototype successfully captured and transmitted all parameter data with high reliability. The system provided a clear, real-time overview of the digester's operational stability and effectively quantified the increase in methane concentration and the reduction of impurities post-purification. Testing shows stable data transmission to Google Sheets and InfluxDB with minimal data loss. Delay times increase with distance in Google Sheets, from 3736.1 ms (2 m) to 3880.2 ms (8 m), while InfluxDB delay varies. RSSI values decrease with distance, with an accuracy range of 0.28 % to 5.11 %, peaking at 99.17 % accuracy at 6.05 meters.
Electricity Consumption Forecasting Analysis using Linear Regression Method, DKL 3.2 Method and BaU Scenario Muhammad Zainal Roisul Amin; Ratna Mustika Yasi; Wahyu Setyo Aji; Bambang Sri Kaloko
Journal of Educational Engineering and Environment Vol. 5 No. 1 (2026): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

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

Abstract

Accurate long-term electricity demand forecasting is essential for ensuring reliable power system planning and sustainable energy development. Previous studies have generally focused on the application of a single forecasting approach, such as linear regression, or a limited comparison between two methods, resulting in insufficient evaluation of forecasting performance across multiple sectors and forecasting models. This research addresses this gap by conducting a comparative analysis of three forecasting approaches Multiple Linear Regression, Electricity Demand List Method 3.2 (DKL 3.2), and Business as Usual (BaU) for projecting electricity consumption in the ULP Kencong service area during the 2025–2029 period. The novelty of this study lies in the integration and comparison of these three forecasting methods within a single framework, combined with the utilization of customer growth, connected power capacity, and Land and Building Tax (PBB) indicators as forecasting variables. Forecasting simulations were performed using LEAP software and Microsoft Excel, while forecasting accuracy was evaluated using the Mean Absolute Percentage Error (MAPE). The results indicate that all sectors are expected to experience continuous growth in electricity consumption, with the industrial sector showing the highest increase. Among the evaluated methods, Multiple Linear Regression demonstrated the best forecasting performance, achieving the lowest MAPE values in three of the four analyzed sectors, namely residential (3.49%), business (6.68%), and social (4.77%) sectors. In contrast, DKL 3.2 produced the highest forecasting errors, particularly in the industrial sector (45.98%), while BaU showed moderate and relatively stable performance. These findings support the claim that Multiple Linear Regression is the most suitable and accurate method for long-term electricity consumption forecasting in the ULP Kencong region, providing a reliable basis for future electricity supply planning and infrastructure development.
Implementasi Fuzzy Inference System untuk Pengstabilan Arus pada Baterai Lithium di Electric Vehicle Arizal Mujibtamala Nanda Imron; Satryo Budi Utomo; Dimas Aldy Darmawan; Bambang Sri Kaloko; Zilvanhisna Emka Fitri
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.26372

Abstract

The application of renewable energy in electric vehicles (EVs) is a crucial aspect that requires careful consideration. It is essential to understand the capacity characteristics of lithium polymer batteries to develop effective testing procedures. These procedures should involve monitoring the battery's voltage, current, and temperature during the discharge process with a lamp loading of 5 watts. The results of research prove that fuzzy control is an effective method for minimising the increase in battery temperature by stabilising the current used by the battery. The fuzzy control system effectively regulated a battery with a capacity of 3300 mAh and a voltage of 11.1 Volts, maintaining a stable current of 0.3 A from the 3rd minute until the battery reached its maximum capacity at the 63rd minute. Furthermore, the implementation of fuzzy control has been observed to delay the temperature rise in the battery. Specifically, the use of fuzzy control enables a delay in the temperature rise time by approximately 14 minutes when compared to the system without control. The temperature rise has a significant impact on the discharge speed of lithium polymer batteries.
Pelatihan dan Pendampingan Pemasaran UMKM Rengginang Singkong Berbasis Artificial Intelligence di Desa Banasare Hasanur Mohammad Firdausi; Moh Taufik; Achmad Faqih; Imam Anas Mubarok; Siti Sa’Adah; Nurul Hidayat; Bambang Sri Kaloko; Gamma Aditya Rahardi; Dani Hari Tunggal Prasetiyo
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 6 No. 3 (2026): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat (September)
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v6i3.7605

Abstract

This community service program aims to improve the marketing performance of a cassava rengginang micro, small, and medium enterprise (MSME) located in Banasare Village, Rubaru District, which faces limitations in digital marketing capabilities and has not yet utilized artificial intelligence (AI) technology. The partner MSME relies on conventional marketing methods, resulting in limited market reach and low promotional effectiveness. The method employed in this program integrates structured training with hands-on assistance in the implementation of artificial intelligence for marketing purposes. The stages include partner needs analysis through observation and interviews, AI-based marketing training focusing on content creation, direct assistance in applying AI to digital marketing and customer services, and evaluation through a comparison of conditions before and after the program. The results indicate a significant improvement in the partner’s capacity to utilize AI for marketing activities. After participating in the program, the MSME was able to independently create structured digital promotional content using AI tools and implement simple chatbot-based customer service. These changes contributed to more effective promotion, improved service efficiency, and broader market reach compared to the initial condition. The outputs of this community service activity include increased digital marketing skills of the partner MSME, the adoption of AI-based marketing practices, and the development of a replicable training and assistance model suitable for traditional food MSMEs in rural areas. This program demonstrates that artificial intelligence can be applied in a simple and practical manner to support the digital transformation and competitiveness of rural MSMEs.
Kontrol Sudut Pitch Blade Sebagai Variable Kecepatan Angin Menggunakan Simulasi Matlab dengan Kendali Logika Fuzzy Mamdani Muhammad Zainal Roisul Amin; Fina Farhana; Bambang Sri Kaloko
Journal Electric Field Vol. 2 No. 1 (2025): Journal Electric Field
Publisher : CV. Sekawan Siji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63440/jef.v2i1.61

Abstract

Wind energy as an alternative energy to meet the increase in energy. However, in places with limited wind quality, it is necessary to install suitable wind turbines to generate optimal power. Installation of a vertical axis wind turbine Savonius can be carried out at unstable wind speeds. PID controllers work well when the wind is stable, but not when the wind speed changes drastically. Automatic adjustment of the angle value on a Savonius type vertical axis wind turbine is required to produce a constant output power of 20kW using a fuzzy logic controller (FLC). The membership of FLC is determined from the methodology of measuring wind speed at the calculated distance and statistical analysis of wind variability. In this way, it is possible to anticipate the response of the actuator to the gust of wind to the rotor. The test results showed that the smaller the wind speed that enters the turbine, the greater the angle of the blades. Conversely, the greater the wind speed that enters the turbine, the smaller the angle of the blades. The control results show that the resulting pitch angle parameter has a value ranging from 0 to 18.428 degrees, with a wind speed value interval of 0 to 5 m/s. The input wind speed value of 5 m/s by controlling the angle of 18.428 degrees aims to maintain the generated power value of 20,000 watts. The purpose of this research is to increase the output power and reduce the risk of rotor damage due to vibrations.
Co-Authors Achmad Faqih Adi Mulyadi Akbar, Muhammad Fakhri Amin, Muhammad Zainal Roisul Anam, Khairul Ananta, Argya Andrita Ceriana Eska Arif Baihaqiy Arizal Mujibtamala Nanda Imron Azmi Saleh Azmi Saleh Bagus Setya Rintyarna Bambang Sujanarko Catur Suko Sarwono Charis Fathul Hadi Chatarina Umbul Wahyuni Dani Hari Tunggal Prasetiyo Dedy Kurnia Setiawan Digdo Listyadi, Digdo Dimas Aldy Darmawan Dwi Aryadi Sudibya Sihombing Efendi, Dicky Yusril Evi Umayah Ulfa GAMMA ADITYA RAHARDI Gozali, Moch. Guido Dias Kalandro hafis alif bhardani Hapzi Ali Hasanur Mohammad Firdausi Imam Anas Mubarok Jamaluddin Khalily Jamaluddin Khalily, Jamaluddin Lestyo Wulandari Lestyo Wulandari Lia Santoso M Agung Prawira N M. Galih x Adi P. M. Zainal Roisul Amin Marsandi Arfianto Marsandi Arfianto, Marsandi Mauridhi H. Purnomo Moch Ghozali Moch Gozali Moh Taufik Mohamad Rizky Ekocahya Farhandianto Muhamad Khoirul Anam Muhammad Naufal An Nafi Muhammad Zainal Roisul A Muhammad Zainal Roisul Amin Muhammad Zainal Roisul Amin Muhammad Zainal Roisul Amin Naufal Nasrullah Novitasari Novitasari Nurul Hidayat Qoyima, Rosida Amalia Nurul Ratna Mustika Yasi Rifqi Abrori Riska Fita Lestari Riska Fitri Lestari Rois, Zainal Samsul Bachri Samsul Bachri, Samsul Sasono, Muchamad Arif Hana Satryo Budi Utomo Siti Sa’adah Soebagio Soebagio Sumardi Sumardi Suprihadi Prasetyono Tabarok, Dony Kurniyawan Thofiq Puji Cahyono Titik Nurhana Triwahju Hardianto Udin, Mambak Utomo, Hery Setyo Viddy Agustian Rosyidi Wahyu Septiyan Kurniadi Wahyu Setyo Aji Widhi Winata Sakti Widya Cahyadi Widyaningrum, Kirana Sari Widyono Hadi Windi Eka Yulia Retnani Yanu Arif Santoso Yanu Arif Santoso, Yanu Arif Zilvanhisna Emka Fitri