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All Journal JIKO (Jurnal Informatika dan Komputer) INOVTEK Polbeng - Seri Informatika Spektra: Jurnal Fisika dan Aplikasinya Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Jurnal Informatika Teknologi dan Sains (Jinteks) JSEP (Journal of Science Education and Practice) International Journal of Hydrological and Environmental for Sustainability Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Penelitian Teknologi Informasi dan Sains Journal of Internet and Software Engineering Journal of Technology and System Information Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Jurnal Sistem Informasi dan Ilmu Komputer
Setiawan, Aep
Teknologi Rekayasa Komputer, Sekolah Vokasi, IPB University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences Veterinary Other

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Dampak Keahlian Robot Dalam Mengenali Kematangan Tomat Terhadap Kepuasan Pengguna Pada Sektor Agroindustri Sri Yusrina; Aziezah, Nur; Rahmah, Hikmah; Siskandar, Ridwan; Setiawan, Aep
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 3 No. I (2024): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/tmit.v3iI.291

Abstract

Produksi tomat sebagai salah satu komoditas ekspor di Indonesia terus meningkat, memerlukan upaya pemeliharaan kualitas dan kematangan buah. Matobot, sebuah alat berbasis teknologi pengolahan citra, dikembangkan untuk mendukung pengelolaan panen yang efektif berdasarkan kematangan buah tomat. Penelitian ini bertujuan mengevaluasi dampak kemampuan Matobot dalam mendeteksi kematangan buah tomat terhadap tingkat kepuasan pengguna dalam konteks pertanian. Melalui analisis regresi terhadap data survei yang melibatkan 48 responden, ditemukan bahwa terdapat hubungan positif yang signifikan antara kemampuan Matobot dan tingkat kepuasan pengguna dengan koefisien determinasi sebesar 38,77%. Angka ini menunjukkan seberapa besar kontribusi kemampuan Matobot mempengaruhi tingkat kepuasan pengguna dalam menggunakan robot. Hasil ini mengindikasikan bahwa Matobot berpotensi memberikan dampak positif terhadap kualitas dan efisiensi produksi buah tomat serta memenuhi harapan pengguna.
Alat Pemberian Pakan Ikan Otomatis Dan Monitoring Kualitas Air Berbasis Iot Setiawan, Aep; Hendriana, Andri; Ramdan,, Ramdan,; Siknun, Alya Zahra; Rayhan, Rayhan; Latifah, Nabila Siti; Azri, Ahdian Mirza; Anshar, Muhammad Auzan; Aganindra, Rafi Kansa
JURNAL INFORMATIKA DAN KOMPUTER Vol 8, No 1 (2024): Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v8i1.1261

Abstract

Calibration of Dissolved Oxygen Sensors in IoT Systems for Water Quality Monitoring in Aquaculture Mindara, Gema Parasti; Sholihah, Walidatush; Novianty, Inna; Fathonah, Lathifunnisa; Marcelita, Faldiena; Siskandar, Ridwan; Ariyanto, Dodik; Widodo, Bayu; Setiawan, Aep; Firdaus, Naufal Rizqullah
Spektra: Jurnal Fisika dan Aplikasinya Vol. 10 No. 3 (2025): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 10 Issue 3, December 2025
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.103.06

Abstract

Dissolved Oxygen (DO) is an important parameter for maintaining water quality in aquaculture systems. The accuracy of DO sensors significantly affects the reliability of Internet of Things (IoT)-based monitoring systems. This study aimed to calibrate the DO sensor using a two-point calibration method and evaluate the accuracy of the sensor readings compared with those of a reference device (standard DO meter). A key novelty of this study lies in its multi-media calibration, performed directly on six distinct aquaculture water types, providing field-realistic validation conditions not commonly explored in previous studies. Furthermore, the accuracy of the calibrated sensor is evaluated quantitatively using MAE, RMSE, and percentage deviation to ensure rigorous performance assessment. The system was developed using an ESP32 microcontroller, DO sensor (SEN0237), DS18B20 temperature sensor, and ADS1115 ADC module. Testing was performed on six types of aquaculture water media and compared with a standard DO meter using a comparative approach. In total, n = 6 field measurement points (one stabilized reading per water medium) were used to compute MAE, RMSE, and percentage deviation. The comparison results showed that the calibrated sensor had high accuracy, with a Mean Absolute Error (MAE) of 0.1083 mg/L and a Root Mean Square Error (RMSE) of 0.2654 mg/L. Significant deviations occurred only in one type of water medium, whereas the other five showed results consistent with the reference device, indicating stable sensor readings. These findings confirm that proper calibration can improve the accuracy and reliability of IoT systems used for water-quality monitoring. Regular calibration is required to maintain the sensor performance, particularly for long-term use in dynamic aquaculture water environments.
Pengaruh Efektivitas Robot AI Berbasis Images Preprocessing Terhadap Kepuasan Pengguna Dalam Mendeteksi Kematangan Buah Tomat salsi kirana sya'bani; Nur Aziezah; Hikmah Rahmah; Ridwan Siskandar; Aep Setiawan
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.2315

Abstract

This research aims to demonstrate the influence of the effectiveness of image preprocessing-based artificial intelligence technology in detecting the ripeness level of tomatoes on user satisfaction and to discover correlations between them. The applied research method is quantitative, with data collected through the distribution of questionnaires to attendees of the IT Festival 2023 Expo held on Sunday, August 27, 2023, at the Baranangsiang Campus, IPB. The data analysis methods used include Pearson correlation test, simple linear regression, coefficient of determination test, and T-test using SPSS 25.0 software. The test results indicate that the effectiveness of image preprocessing-based artificial intelligence technology has a positive and significant impact on detecting the ripeness level of tomatoes
Prototype of Fire Detection Tool Using Short Message Service (SMS) Notification as A Disaster Mitigation Effort Against Environmental Damage Due to Forest Fires Aep Setiawan; Akmal Yusup; Amir Machmud
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 1 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (972.133 KB) | DOI: 10.58524/ijhes.v1i1.38

Abstract

In relation to the threat of drought, it is necessary to do a drought analysis to evaluate the drought that has occurred. Another disaster caused by water drought is forest fires. The purpose of this study using the prototype of a Forest Fire Detection Tool (FFDT) are to early detection of forest fires and providing Short Message Service (SMS) notification of forest fires to the officer. The method of this study used a prototype of a FFDT with SMS Notification. This tool is controlled using the ATmega328 microcontroller or better known as Arduino Uno R3 and also the GSM 800L v2 module so that this tool will provide notification to forest guards in the form of sirens and SMS sounds when there are indications of smoke or fire that are identical to the event of a forest fire. Monitoring uses fire sensors, namely fire for the detection of flames that are often associated with forest fires and uses sensors as soon as possible, namely MQ2 and MQ9, all of which are equipped in one device, a forest fire detector using the Arduino Mega microcontroller. When there is a good sign that the flame or as soon as possible is read, the tool will send an SMS notification to the forest officer, the process of sending the SMS makes the fire process can detect even though it is still in a small condition or not widened.
Co-Authors Adelia Tri Aprilian Adzimi, Sista Naelly Aganindra, Rafi Kansa Akmal Yusup Aldiyansyah Alfasih, Hafiz Agi Alfazry, Muhammad Rizky Amir Machmud Ananditto Daffa Wijayanto Anshar, Muhammad Auzan Arda Dwiyana Ardian Arif Ariya Pratama Adjie Nugroho Arya Prabudi Jaya Priana Arya Prabudi Jaya Priana Auliafitri, Desita Az Zahra, Daryn Ramadhani Azri, Ahdian Mirza Balian, Steven Jona Duari Huta BAYU WIDODO Danar Restu Firdaus Daniel Happy Putra Desita Auliafitri Dewandaru, Kenzi Dewanto, Muhammad Arif Bagus DODIK ARIYANTO Dwi Suryawan, Ahmadiki Firman Elya Nurwullan Erlin Arlitasari Erlin Arlitasari Fadilah, Fikri Fathonah, Lathifunnisa Fernando, Brilliant Sandynigy Firdaus, Danar Restu Firdaus, Naufal Rizqullah Handika Saputra Harahap Haniyah, Wanda Hardianto, Daniel Rangga Hendriana, Andri Henny Endah Herti Hidayat, Muhammad Caesar Hikmah Rahma Hikmah Rahmah Ilham, Fauzan Perdana Irmansyah Irzaman, Irzaman Istiqomah, Iklima Karin, Fay Ivana Khabibah, Dea Ummul Klana Surbakti, Sevril Anugrah Latifah, Nabila Siti Lovely, Vanya Amanda Madani, Itqon Mahfuddin Zuhri Malik, Muhamad Rangga Maulana Marcelita, Faldiena Maulidan, Muhammad Hafizh Mindara, Gema Parasti Muhammad Fajarudin Muhammad Fathurrahman Muhammad Ifan Al Aziz Muhammad Raihan Aditia Suhendi Muhammad Tsabit, Muhammad Nisa, Afifah Rodhiyatun Nita Qonitah Desy Ayu Sari Novianty, Inna Nur Aziezah Nur Aziezah Nur, Muhammad Refiansyah Nurrohman, Yana Permana, Silva Dimas Surya Pertama, Veto Adi Putra, Akhtarsyah Pambudi Putra, Fauzan Graha Dwi Putra, Zidan Febrian Indra Rachmat, Ramma Dwi Rahmadaniar, Ihda Rahmah, Hikmah Rahmanto, Brian Mariano Ramadhan, Fauzan Naufal Gibran Ramadhani, Ghani Trie Aqeela Ramdan,, Ramdan, Ramdhani, Herlambang Nurasyid Rayhan, Rayhan Ridwan Siskandar Rifa Ade Rahmah Riyanti, Ade RizkiSuro, Erry Rizkysuro, Erry Robby Priaji Sakti salsi kirana sya'bani Satrio, Muchammad Alifandino Sevia Dwi Yanti Shelvie Nidya Neyman Sholihah, Walidatush Siknun, Alya Zahra Silva Dimas Surya Permana Sri Yusrina Steyer, Muhammad Raihan Ramadhan Sukma, Stivan Hari Sumayyah, Zata Ismah Suryawan, Ahmadiki Firman Dwi Tedi Kurniawan Tondang, Daffa Adrian Ahmadi Walidatush Sholihah Wini Muthia Kansha Yakin Zhang Yuristiawan, Rajwa Daffa Adyatama Zhaahir Haq, Rahiim Tahajjadan