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Fabrikasi Tempat Sampah Pintar Dengan Pemilahan dan Pemadatan Otomatis Amrina Mustaqim; Sefrani IG Siregar; Syamsyarief Baqaruzi
E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Vol. 1 No. 2: E-JOINT, Desember 2020
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/e-joint.v1i2.454

Abstract

Sampah telah menjadi persoalan yang paling utama hingga saat ini.  Pengelolaan sampah terutama sampah plastik, yang tidak optimal bisa menyebabkan pencemaran lingkungan dan juga penyusutan lahan. Pengelolaan sampah di Indonesia dilakukan dengan sistem end of pipe, sehingga terjadi penumpukan sampah di tiap lokasi pengumpulan. Tempat sampah pintar ini dibuat khusus untuk sampah plastik yang nanti akan dikompresi sehingga dihasilkan sampah dengan volume yang lebih kecil dan dapat mengurangi proses penyusutan lahan. Pada tempat sampah ini terdapat tiga sistem utama. Sistem pemilahan sampah, sistem pemantauan daya tampung tempat sampah, dan sistem pemanas sampah. Hasil dari Ketiga sistem tersebut adalah tempat sampah pintar dapat bekerja secara optimal dengan rata-rata error kurang dari 5 persen.
Eco-Pedal Bicycle Prototype Design as An Alternative Multi-Information Display Energy Generator Sefrani Isdarmayani Siregar; Syamsyarief Baqaruzi; Rachmad Hidayatullah
Journal of Science and Applicative Technology Vol 5 No 2 (2021): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i2.376

Abstract

As technology grows, so does the consumption of energy, especially electricity. Today, electricity has become the most used energy worldwide and the demand keeps on increasing every year. According to PLN annual report the highest electricity consumption came from domestic sector which peak up to 97.832,28 GWh in 2018. Sadly, our current power supplies are not enough to fulfill those demands. It was the main reason to develop another form of cheaper, more efficient, and environmentally friendly power plants. This research aims to build a simple system which able to generate electricity for bicycle and to determine the voltage and the current it generates with certain speed which can be stored in portable batteries in order to meet the campus power demand. This design uses propulsion from the bicycle and using a 16.8 volt 6600 mAh Lithium-ion battery as its energy storage. The tests show that MID LCD may update and notify the changes of voltage, temperature, speed in every second. The average power released is 13 Watt with maximum output can reach 34 Watt. The test shows that the average voltage error is 0.79% while average temperature error is 1.28% and average speed error is 2.77%.
Prediksi Temperatur Pengosongan Baterai Lithium Menggunakan Metode Autoregressive Integrated Moving Average Christio Revano Mege; Septia Eka Marsha Putra; Sefrani IG Siregar
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4652

Abstract

Baterai litium-ion merupakan kandidat terdepan dalam penggunaannya sebagai penyimpan energi untuk listrik yang dihasilkan energi alternatif. Salah satu keuntungan dari tipe penyimpanan energi ini adalah kerapatan energi yang tinggi. Namun kinerja setiap sel lithium ion dalam modul sangat bergantung pada temperatur operasi yaitu antara 00C – 400C. Kenaikan temperatur baterai melebihi batas tersebut dapat secara signifikan mengurangi kinerja baterai. Oleh sebab itu diperlukan prediksi temperatur untuk mengetahui kapan temperatur baterai bisa naik melewati batas 400C. Dalam penelitian ini data temperatur yang diperoleh dari tahap pengambilan data digunakan sebagai data latih dan data uji untuk prediksi temperatur dengan metode Autoregressive Integrated Moving Average (ARIMA). Model kemudian dievaluasi dengan Root Mean Square Error (RMSE) dan Mean Absolute Deviation (MAD). Hasil menunjukkan model ARIMA dapat memprediksi kenaikan suhu baterai saat pengosongan pada kuat arus 10A, 20A, dan 30A. Model memiliki prediksi yang baik karena nilai RMSE dan MAD lebih kecil dari setengah standar deviasi data pengukuran.
Pelatihan Dasar dan Aplikasi Internet of Things di Sekolah Menengah Atas Negeri 6 Metro Lampung Mege, Christio Revano; Suaif, Ahmad; Putra, Septia Eka Marsha; Khoirunisa, Vera; Siregar, Sefrani IG; Saputra, Alvin; Ramadhani, Sofia Nur
GOTAVA Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): GOTAVA Jurnal Pengadian Kepada Masyarakat
Publisher : Yayasan Sumber Daya Manusia Cerdas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59891/jpmgotava.v3i1.30

Abstract

Metro 6 State Senior High School is one of the schools that produces the best graduates in Metro City. Learning at this school strives to utilize the latest technology that is in accordance with the needs of the times. One technology that has not been taught at this school is Internet of Things technology. The Internet of Things (IoT) is a concept that refers to a network of physical devices connected via the internet, which are able to exchange data without requiring human-to-human or human-to-computer interaction. In the context of IoT, "physical devices" can include various types of objects, such as sensors, vehicles, household appliances, medical devices, and many more. Metro 6 State Senior High School students do not yet have an understanding of IoT theory and applications. This PKM activity introduces IoT technology through knowledge dissemination and practical assistance for IoT applications in simple applications such as turning on lights via smartphones. The results of this PKM activity are that students' knowledge of IoT theory and applications has increased by more than 100%, as shown by the results of the pre-test with an average score of 39.41 increasing to 80.59 in the post-test. In addition, students are also able to practice turning on lights via IoT-based smartphones. In addition, students of SMA Negeri 6 are facilitated with esp32 microcontrollers, relays and other tools that support the sustainability of IoT practical activities at this school.
Manajemen Kenyamanan Cerdas di Ruang Kelas Menggunakan Deteksi Okupansi Berbasis SSD dan Pengendalian Lingkungan Berbasis PMV Harahap, Al Barra; Khoirunisa, Vera; Hutahaean, Berton Charisdito; Tarigan, Donni Marulitua; Siregar, Sefrani I.G; Harahap, Hasanah Pratiwi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2025.17.2.9

Abstract

Room comfort is critical for enhancing productivity, particularly in classrooms. Two key factors are temperature and lighting, governed by ASHRAE 55 for thermal comfort (PMV range of –0.5 to 0.5) and SNI 6197:2020 for classroom lighting (350 lux). This study develops an intelligent system that coordinates occupant detection with temperature and lighting control. Occupant detection was implemented using the Single Shot MultiBox Detector (SSD) with MobileNetV2, a camera as the sensor, and image processing on an NVIDIA Jetson Nano. The detected occupant coordinates were used to control lighting patterns, while temperature was measured with a DHT22 sensor and regulated through PMV-based calculations. The recommended temperature setpoints were transmitted to an air conditioner via an IR blaster controlled by an ESP8266. Experimental results show that the detection system achieved 95% accuracy, 99% precision, 95% recall, and a 97% F1-score at a threshold of 0.3. The lighting control system achieved a MAPE of 14.49%, while the temperature control system achieved a MAPE of 4.53% with an average MAE of 1.1 °C. These findings demonstrate that the proposed system effectively integrates occupant detection with automated temperature and lighting control, ensuring improved classroom comfort.
DISEMINASI TEKNOLOGI IOT UNTUK PEMANTAUAN KONSUMSI DAYA LISTRIK DI SMA NEGERI 2 METRO SEBAGAI UPAYA EFISIENSI ENERGI Hasugian, Friska; Mege, Christio Revano; Khoirunisa, Vera; Putra, Septia Eka Marsha; Siregar, Sefrani IG; Suaif, Ahmad; Simatupang, Jodes Parasian
Jurnal Pengabdian pada Masyarakat Kepulauan Lahan Kering Vol. 6 No. 2 (2025): Volume 6 Nomor 2 Edisi Oktober 2025
Publisher : Pergizi Pangan DPD NTT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51556/jpkmkelaker.v6i2.534

Abstract

Peningkatan konsumsi energi listrik di lingkungan institusi pendidikan sering kali tidak terkontrol akibat kurangnya sistem pemantauan yang akurat, termasuk di SMA Negeri 2 Metro. Masalah utama yang dihadapi adalah keterbatasan pemahaman warga sekolah mengenai teknologi manajemen energi, yang berdampak pada ketidakefisienan penggunaan daya dan tingginya biaya operasional. Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk mendiseminasi teori serta praktik pemantauan konsumsi daya listrik berbasis Internet of Things (IoT) sebagai solusi cerdas manajemen energi. Metodologi yang digunakan meliputi tahap persiapan perangkat, pemaparan materi teoretis, dan pendampingan praktik langsung (hands-on) dalam merakit sistem sensor arus berbasis ESP32 yang terintegrasi dengan platform MIT APP Inventor. Keberhasilan kegiatan ini diukur melalui analisis statistik pre-test dan post-test serta lembar observasi aktivitas siswa. Hasil pengabdian menunjukkan adanya peningkatan signifikan pada aspek kognitif peserta dengan kenaikan nilai rata-rata sebesar 80,7%. Selain itu, hasil observasi menunjukkan bahwa 86% siswa telah mampu merancang dan mengoperasikan sistem pemantauan listrik berbasis IoT secara mandiri. Kesimpulannya, kegiatan ini efektif dalam meningkatkan literasi teknologi dan mengubah perilaku penggunaan energi menjadi lebih terukur. Hasil ini sangat penting sebagai langkah awal transformasi SMA Negeri 2 Metro menuju smart school yang mengedepankan efisiensi energi berkelanjutan berbasis data digital.
EVALUATION AND OPTIMIZATION OF NATURAL LIGHTING ON THE SECOND FLOOR OF THE LAMPUNG HAPKIDO MARTIAL ARTS ROOM AT BTC (BAGOES TRAINING CENTER) GYM SEPUTIH RAMAN : EVALUASI DAN OPTIMALISASI PENCAHAYAAN ALAMI PADA LANTAI DUA RUANG BELADIRI HAPKIDO LAMPUNG DI BTC (BAGOES TRAINING CENTER) GYM SEPUTIH RAMAN Berlian Chandra Kirana; Tiara Chandra Kirani; Sefrani I G Siregar; Ahmad Suaif; Himawan Wismanadi; Aghus Sifaq
SOSIOEDUKASI Vol 14 No 4 (2025): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v14i4.6712

Abstract

The light source that comes from sunlight entering directly into the room, especially in the morning and afternoon, is called natural lighting. SNI 03-2396-2001 states that ideal natural lighting during the day, from 08:00 to 16:00 WIB, should provide evenly distributed light throughout the room without causing glare. The standard illumination for martial arts training rooms ranges from 300 lux (minimum), 350 lux (medium), and 500 lux (maximum). The aim of the research is to evaluate and optimize natural lighting in sports spaces, particularly the Hapkido room on the second floor of the BTC (Bagoes Training Center) Gym in Seputih Raman, Lampung. The quality, orientation of window openings, and the distribution of light entering the building through windows are important factors in utilizing natural lighting. With larger window sizes, there is a need to control the amount of light entering the room. A quantitative method is used in this research. Data is collected through observation, literature review, light intensity measurements in the field, and simulations of current conditions using DIALux Evo. Data analysis uses mathematical formulas. The results show that lighting at BTC (Bagoes Training Center) Gym lacks light intensity and does not meet the standard. As a result, athletes feel less comfortable during training. At BTC Gym, lighting intensity has been adjusted to meet the lighting standards through several changes, such as lowering glass reflectance, altering window sizes, changing the type of window glass, and reducing sun shading. The lighting level has been improved, and the room now meets the SNI 03-2396-2001 standard. The Daylight Factor should be between 2% and 5%, with TUU between 0.5 and 0.8, and TUS between 0.3 and 0.5. A Daylight Factor above 10% can cause glare, uneven light distribution, and excessive heating, which requires design modifications to ensure optimal natural lighting.
Pengembangan Sistem Pemantauan Kualitas Air Akuakultur Berbasis IoT Menggunakan Logika Fuzzy Mamdani Siregar, Sefrani IG; Handani, Hesti Wahyu; Mege, Christio Revano; Drantantiyas, Nike Dwi Grevika; Putra, Septia Eka Marsha; Suaif, Ahmad; Ginting, Listra Yehezkiel; Mustaqim, Amrina; Hasugian, Friska; Afdi, Rozi
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 6 No 2 (2026): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v6i2.1855

Abstract

Industri akuakultur membutuhkan manajemen lingkungan yang tepat untuk memastikan kesehatan biota perairan. Metode pemantauan konvensional seringkali mengalami keterlambatan pengambilan sampel manual, yang menyebabkan mitigasi perubahan lingkungan yang terlambat. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan kualitas air berbasis Internet of Things (IoT) untuk aplikasi akuakultur. Sistem ini mengintegrasikan sensor pH, Total Dissolved Solids (TDS), dan kekeruhan dengan mikrokontroler, yang terhubung ke aplikasi seluler yang dirancang melalui MIT App Inventor. Pengujian hasil kalibrasi tiga sensor pada 30 sampel menunjukkan akurasi >90%. Proses pengujian defuzzifikasi pada 12 aturan mendapatkan MAPE 0,33%. Hasil eksperimen menunjukkan bahwa sistem secara akurat mengukur dan mengirimkan parameter, seperti kekeruhan 46 NTU, TDS 174 ppm, dan pH 7,67, menghasilkan klasifikasi kualitas "Baik" secara otomatis. Uji kinerja menunjukkan efisiensi tinggi dengan penundaan transmisi data rata-rata hanya 2 detik. Pengujian pada kolam akuakultur yang dilakukan selama 6 jam menunjukkan bahwa system mampu membaca dan memberikan Kesimpulan kualitas air secara akurat sesuai dengan aturan fuzzy yang dibuat. Kesimpulannya, sistem IoT ini menyediakan solusi yang andal dan hemat biaya untuk pemantauan jarak jauh, secara signifikan mengurangi risiko pengamatan manual sekaligus meningkatkan produktivitas dan keberlanjutan pengelolaan akuakultur melalui transformasi digital.
Pemanfaatan Kulit Kakao menjadi Produk Kerupuk sebagai Solusi Gagal Panen Perkebunan Kakao di Desa Karang Radja Sefrani Siregar; Vera Khoirunisa; Muhammad R. Ramanda; Dina Fithriyani
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Cocoa is one of the highly valuable commodities in the Indonesian economy. In terms of its contribution to the nation's foreign exchange, cocoa comes in third. Nevertheless, the farmers' livelihoods in the village of Karang Raja, South Lampung Regency, have been impacted by the failure of the cocoa crop in 2020 and 2021. One way to prevent crop losses and lower the high cocoa shell waste in Karang Radja village is to use the leftover cocoa shells. With the help of this community service program, the residents of the village of Karang Radja will receive training on how to turn leftover cocoa shells into crackers. Surveys are conducted as part of the implementation process, and tools and materials are prepared as well as training in the cracker production.