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All Journal Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Al-MIKRAJ: Jurnal studi Islam dan Humaniora Indonesian Research Journal on Education Petrogas : Journal of Energy and Technology
Darmiyati, Iin
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Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Evaluation And Planning of Acidizing Method to Resolve Scale Issues In Well "YDK-01," "Sandy" Field. Firdaus, Firdaus; Afifah, Rohima Sera; Laby, Dharma Arung; Rohani, Adelia; Kurniawan, Yudha Dwi; Rahmawati , Selvy Dwi; Darmiyati, Iin
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 3 No. 4 (2023): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v3i4.214

Abstract

The “YDK-01” well has alkaline Formation Water with a pH value of 8,3. Therefore, Scale can form in the productive zone so that over time, Scale will continue to settle and be difficult to solved. From several Acidizing methods, Matrix Acidizing is the most recommended because in the wells examined there are indications of a positive Skin value (Formation Damage). Matrix Acidizing is a Reservoir stimulation method used to overcome Formation Damage in the wells caused by Scale. In this Final Project, it is done using manual calculations using (Stiff & Davis), (Skillman, McDonald & Stiff) and Inflow Performance Relationship Wiggins equations, which aims to evaluate the problem of Scale. Changes in well production rates can be seen from a comparison of several parameters before and after Acidizing such as: Inflow Performance Relationship curve, Permeability value, Productivity Index value, and Skin. In the “YDK-01” well, there was an increase in the Qomax value of 47.16 bopd. The Productivity Index value of oil which was previously 0.129 bopd/psia, has changed to 0.198 bopd/psia. Permeability value has increased by 12 md and Skin value has decreased by 28.54. Parameters above prove that the Matrix Acidizing method works well in overcome scale on the well
Implementasi Sistem Pengusir Hama Monyet Ramah Lingkungan di Kelompok Tani Tunas Harapan Balikpapan Darmiyati, Iin; Oktafiani, Fitri; Sahara, Ain; Rosidi, Ahmad; Saputra, Surya; Wijaya, Sigit Kusuma; Purnomo, Ferdi Bagus; Rezha, Muhammad
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7318

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menguji sistem pengusir hama monyet yang ramah lingkungan dengan memanfaatkan teknologi tepat guna berbasis sensor gerak (PIR) dan sensor tekanan yang terintegrasi dengan modul suara serta pagar listrik bertegangan rendah yang diberi daya oleh panel surya. Sistem ini dirancang untuk menurunkan frekuensi serangan monyet dan meningkatkan produktivitas hasil pertanian pada lahan Kelompok Tani Tunas Harapan di Balikpapan Utara. Metode yang digunakan adalah pendekatan partisipatif yang melibatkan survei lokasi, pelatihan masyarakat, perakitan, dan pemasangan sistem pada lahan kebun tomat seluas 0,5 hektare. Data dikumpulkan secara kuantitatif, meliputi frekuensi gangguan mingguan, hasil produksi (kg/ha), waktu respons sensor, dan konsumsi daya, serta secara kualitatif melalui wawancara dengan 20 petani. Uji lapangan dilakukan selama empat minggu. Hasil menunjukkan bahwa sensor PIR memiliki efektivitas deteksi pada radius rata-rata 7 meter dengan waktu respons 1,2 detik dan sistem dapat beroperasi secara mandiri menggunakan panel surya berkapasitas 50 Wp. Frekuensi serangan monyet menurun dari rata-rata 6–7 kali per minggu menjadi 0–1 kali per minggu pada minggu keempat dengan penurunan kumulatif mencapai 90,5%. Produksi tomat meningkat dari 1.020 kg/ha menjadi 1.258 kg/ha atau meningkat sebesar 23,4%, sementara kebutuhan tenaga pengawasan berkurang sekitar 35%. Sebanyak 85% responden menyatakan mampu mengoperasikan sistem secara mandiri. Dengan demikian, sistem sensorik dan pagar listrik bertegangan rendah berbasis energi surya ini terbukti efektif, efisien, serta ramah lingkungan dalam mengurangi serangan monyet dan meningkatkan hasil panen pada skala uji coba. Solusi ini berpotensi untuk dikembangkan lebih lanjut dengan integrasi Internet of Things (IoT) dan pengumpulan data harian guna memperkuat analisis efektivitas jangka panjang.
Tani Terkini: Sistem Monitoring dan Kontrol Pertanian Pintar Berbasis IoT Menggunakan ESP32 Darmiyati, Iin; Saputra, M Abdy; Maulana, Andi; Aribowo, George Nathaniel Putra; Sahara, Ain; Oktafiani, Fitri
JURNAL TEKNOSAINS KODEPENA Vol. 6 No. 2 (2026): Jurnal Teknosains Kodepena Volume 6 Nomor 2 Januari 2026
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v6i2.113

Abstract

This study presents the design and implementation of an Internet of Things (IoT)–based monitoring and control system using an ESP32 microcontroller. The system is developed to monitor environmental conditions through a DHT22 sensor for air temperature and humidity measurement, as well as a pH sensor to determine the acidity level of the medium. Sensor data are transmitted to a web-based application and displayed in real time in the form of numerical values and graphical representations to facilitate user observation. In addition to monitoring functions, the system incorporates relay-based control to operate a fan and an aerator in both manual and automatic modes. System testing was conducted to evaluate the performance of sensor data acquisition and the execution of control commands. The test results indicate that the system is able to reliably read sensor data and perform control operations as intended. This system is expected to serve as a learning platform for understanding basic IoT implementation and simple control systems in agricultural applications.
Tani Terkini: Sistem Monitoring dan Kontrol Pertanian Pintar Berbasis IoT Menggunakan ESP32 Darmiyati, Iin; Saputra, M Abdy; Maulana, Andi; Aribowo, George Nathaniel Putra; Sahara, Ain; Oktafiani, Fitri
JURNAL TEKNOSAINS KODEPENA Vol. 6 No. 2 (2026): Jurnal Teknosains Kodepena Volume 6 Nomor 2 Januari 2026
Publisher : Kodepena (Komunitas Dosen Penulis dan Peneliti Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54423/jtk.v6i2.113

Abstract

This study presents the design and implementation of an Internet of Things (IoT)–based monitoring and control system using an ESP32 microcontroller. The system is developed to monitor environmental conditions through a DHT22 sensor for air temperature and humidity measurement, as well as a pH sensor to determine the acidity level of the medium. Sensor data are transmitted to a web-based application and displayed in real time in the form of numerical values and graphical representations to facilitate user observation. In addition to monitoring functions, the system incorporates relay-based control to operate a fan and an aerator in both manual and automatic modes. System testing was conducted to evaluate the performance of sensor data acquisition and the execution of control commands. The test results indicate that the system is able to reliably read sensor data and perform control operations as intended. This system is expected to serve as a learning platform for understanding basic IoT implementation and simple control systems in agricultural applications.
Peramalan Kelembaban Tanah Berbasis IoT Menggunakan Pendekatan Machine Learning dan Deep Learning Darmiyati, Iin; Oktafiani, Fitri; Sahara, Ain; Yanti, Dawi; Maulana, Ranjiv; Hamsir, Hamsir; Nurjannah, Nurjannah
PETROGAS: Journal of Energy and Technology Vol 8, No 1 (2026): MARCH
Publisher : Sekolah Tinggi Teknologi MIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58267/petrogas.v8i1.212

Abstract

Kelembaban tanah merupakan parameter penting yang mempengaruhi produktivitas tanaman serta efisiensi penggunaan air dalam sistem pertanian dan perkebunan. Pengelolaan irigasi konvensional umumnya menggunakan nilai ambang batas tetap sehingga tidak mampu memprediksi perubahan kondisi kelembaban tanah di masa mendatang. Penelitian ini mengembangkan sistem peramalan kelembaban tanah berbasis Internet of Things (IoT) dengan pendekatan machine learning dan deep learning. Sensor dihubungkan dengan mikrokontroler ESP32 yang mengirimkan data secara real time ke penyimpanan cloud. Dataset yang diperoleh terdiri dari ribuan entri dan diolah menggunakan Python melalui proses pembersihan data, normalisasi serta pelatihan model. Beberapa model prediksi yang digunakan meliputi Linear Regression, Random Forest Regression, Support Vector Regression (SVR), dan Long Short-Term Memory (LSTM). Dataset dibagi menjadi data pelatihan dan data pengujian dengan rasio 80:20. Evaluasi kinerja model dilakukan menggunakan Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), dan koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa model LSTM memberikan performa prediksi terbaik karena mampu menangkap pola temporal pada data deret waktu sensor IoT. Sistem ini berpotensi mendukung pengembangan irigasi cerdas untuk meningkatkan efisiensi penggunaan air dan pengelolaan perkebunan yang berkelanjutan.Kata kunci: Kelembaban tanah; Internet of Things; Machine Learning; Deep Learning; Pertanian presisi.
Co-Authors , Abdul Gafar Karim Abdi Suprayitno Abdul Gafar Karim Abdul Gafara Karim Afrida Ahmad Rosidi, Ahmad Ali Muchammad Aliyah Sayyidina Putri Bahtiar Amiruddin Andi Jumardi Andi Maulana, Andi Andrianti, Irma Andry Halim Annisa Efidiawati Aprilino Alfa Kurmasela Aprilliano Alfa Kumarsela Aprilno Alfa Kumasela Aribowo, George Nathaniel Putra Aulia Miranti Larasathi Baiq Maulinda Ulfah BAMBANG WICAKSONO Cerriansyah Ramadhan Cindy Pebriana Darmiyati, Zela Madani Della Endangtri Deny Fatrianto Edyzoh Eko Widodo Deny Fatryanto Edyzoh Dharma Arung Laby Eka Megawati Eltimeyansi Chrisye Randanan Engeline Marlin Erika Maulina Evi Maulia Nilawati Fatma Feliksta Agatha Mambela Finansa, Dody Firdaus Firdaus Firdaus Fitri Oktafiani Hamriyani Ryka Hamsir Hamsir Handayani Handayani Hartono Hartono Heldy Febryanto Herry Setiawan Hizkia Erick Sualang Ipan Sampe Irma Andrianti Joko Wiyono Karim, Abdul Gafar Karmila Kartika Choriah Kurmasela, Apriliano Alfa Kurniawan, Yudha Dwi Laby, Dharma Arung M. Ardian Pratama M. Nur Mukmin M. Rizal Faahrun Malrin, Engeline Mamuaya, Arjuna Brifling Manik, Nijusiho Maulana, Ranjiv Michelle Rafael Waw Mirza Mirza Moh Fuzan Yasin Muh Fatwa Asmawat Muhammad Basir Muhammad Rizki Muhammad Vijaya Waluddin N. Nurjanah Nijusiho Manik Nurjannah Nurjannah P.S, Maeka Dita Pratama Bagus Restu.S Purnomo, Ferdi Bagus Putri, Dewi Portuna Ananda R. Bambang Wicaksono Rahman, Muhammad Rizqie Fathan Rahmawati , Selvy Dwi Ramadhana, Zulmi Randanan, Eltimeyansi Chrisye Reyhandri Anugrah Reynaldy Julio Rezha, Muhammad Rifki Aditya, Rifki Risna Rohani, Adelia Rohima Sera Rohima Sera Afifah Rofima Sera Afifah RR. Ella Evrita Hestiandari Sahara, Ain Sakinah Santung, Andrey Anastasie Saputra, M Abdy Sepryanto Fernandus D Septiawan, Bima Soliadi, Indriana Sulardi . Surya Saputra, Surya Ummul Haq Wawan Andi’ Padang Wicaksono, R. Bambang Widodo, Deny Fatryanto Edyzoh Eko Wijaya, Sigit Kusuma Yanti, Dawi Yudiaryono Zavta Rizki