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IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2 Satra, Ramdan; Hadi, Mokh. Sholihul; Sujito, Sujito; Febryan, Febryan; Fattah, Muhammad Hattah; Busaeri, Siti Rahbiah
Journal of Robotics and Control (JRC) Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i1.18470

Abstract

Cultivation of tiger prawns stands as a crucial sector in Indonesia's fisheries industry, significantly contributing to the country's foreign exchange. However, challenges persist in the cultivation process, particularly concerning suboptimal harvest outcomes. A critical factor in tiger prawn cultivation is the water temperature within shrimp ponds, a parameter directly influencing shrimp growth. The recommended normal temperature range is 28-31°C. Deviations from this range can adversely impact the shrimp's metabolic system and appetite, resulting in stress and potential mortality. Temperature fluctuations can lead to severe issues such as hindered growth, reduced productivity, and increased shrimp mortality. Real-time monitoring of air temperature emerges as a pivotal element in ensuring the success of shrimp farming. This research aims to provide a practical solution for shrimp cultivation by presenting a system that enables farmers to adjust air temperature in ponds in real-time through a user-friendly website application. The ability to promptly respond to abnormal temperature fluctuations empowers farmers to optimize cultivation conditions, thereby reducing shrimp mortality rates. The research focuses on creating a water temperature monitoring system for tiger prawn ponds using cloud storage through the Firebase platform. By implementing real-time temperature monitoring, financial risks for shrimp farmers can be mitigated, preventing losses attributed to temperature-induced shrimp mortality. The research utilizes the DS18B20 temperature sensor and WeMos D1 R2 as the control center. The website displays air temperature measurements, showcasing a high accuracy of 99% with a minimal error of 1.2%. This underscores the system's effectiveness in measuring air temperature both above and below the pond. The incorporation of IoT technology for monitoring water quality in ponds offers a practical and innovative approach to tiger prawn cultivation, with the potential to enhance production outcomes in each harvest.
Comparison Analysis of Digital Forensic Tools on Instagram Messenger using The National Institute of Standards and Technology (NIST) Method Harno Supardin; Satra, Ramdan; Asis, Muh. Arfah; Teng, Ming Foey
Bulletin of Social Informatics Theory and Application Vol. 6 No. 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i1.534

Abstract

Technological developments from time to time are very rapid, one of which is the development of smartphones which are always evolving in terms of operating systems, features, specifications, and applications. Today's increasingly sophisticated technology has become an important part of people's lives, some activities of people's lives can be carried out by utilizing technology, including committing crimes in cyberspace. One of the most widely used social media applications is Instagram. Instagram messenger causes cybercrime, pornography, fraud and cyberbullying. This study aims to compare the performance of digital forensic tools in obtaining digital evidence on Instagram messenger using the NIST Method. The results of this study indicate that MOBILedit Forensic and Magnet Axiom have the following accuracy results in restoring deleted data on Instagram messenger, MOBILedit Forensic 69.23% and Magnet Axiom 76.92%.
Optimizing AWS lambda code execution time in amazon web services Arifin, Muh Awal; Satra, Ramdan; Syafie, Lukman; Nidhom , Ahmad Mursyidun
Bulletin of Social Informatics Theory and Application Vol. 7 No. 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v7i1.609

Abstract

One of the problems in providing infrastructure is the lack of interest in managing infrastructure. AWS Lambda is a FaaS (Function as a Service) service that allows users to run code automatically in an environment managed by Amazon Web Services. In this study, the method used is to collect data on code execution time at various input sizes, then perform an analysis of the factors that affect execution time. Furthermore, optimization is carried out by selecting the appropriate memory size and proper coding techniques to improve performance. The results show that optimizing memory size and coding can improve code execution time performance by up to 30%, depending on the type of service used. This can help AWS Lambda users improve code performance and save on operational costs.
Monitoring and controlling humidity and pH use of LoRa in IoT-Based hydroponic planting Usman, Usman; Achmad, Andani; Yuyun, Yuyun; Satra, Ramdan; Tribuana, Dhimas; Konate, Siaka
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.672

Abstract

Indonesia, a tropical country with a growing population, has significant potential for food production but faces challenges in meeting this demand. Factors such as generation change, industrialization, and food production monopolies, as well as climate change, food security measures, and a lack of technological progress, affect productivity. Governments need to address these problems by implementing policies such as cost efficiency, supply chain management, minimum labour consumption, and effective food distribution. Food security is vital to the health and well-being of the population, and food is a vital food source to consume. Vegetables, a popular food source, are vital for health and growth. Salad, a plant used for food production, is beneficial to food production and is the main food in the modern market. Technologically speaking, food security is vital to the health and well-being of the population. Governments should focus on improving food security and ensuring that food is accessible to all. The proposed system consists of five sensors: the DHT11 sensor, the TDS meter, the humidity sensor (DS18B20), the water height sensor, and the pH meter. Data from the sensor will be stored in a cloud database via the LoRa communication network, allowing users to access data through Android applications.
Monitoring oxygen levels of windu shrimp pond water using dissolved oxygen sensor based on wemos D1 R1 Djainuddin, Djainuddin; Fattah, Farniwati; Asis, Muhammad Arfah; Satra, Ramdan; Fattah, Muhammad Hattah; Adam Ali Abdalla, Modawy
Bulletin of Social Informatics Theory and Application Vol. 8 No. 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i1.676

Abstract

This research implements an oxygen monitoring system in tiger shrimp ponds using a Dissolved Oxygen (DO) sensor based on Wemos D1 R1 with an Internet of Things (IoT) approach. Tiger shrimp ponds, as aquaculture centers, require regular monitoring of water quality. The system uses DO sensors in the water, processed by Wemos D1 R1, and the data is sent to Firebase Cloud for storage. A web application serves as the user interface to monitor and analyze the data. The results of the research in Pandawa 1000 tiger shrimp pond, Lanrisang Village, Pinrang, showed the positive impact of IoT technology on pond management. The selection of the Wemos D1 R1 and the use of the Dissolved Oxygen Sensor enabled accurate and efficient measurement of oxygen levels, overcoming the shortcomings of previous research, especially the integration of the sensor directly into Firebase for real-time data storage and delivery. This development improves connectivity and real-time monitoring capabilities, crucial aspects in ensuring optimal pond water quality.
Pendampingan Pengelolaan Website UPT.PJP UMI (Pusat Jurnal dan Publikasi) untuk Peningkatan Pemeringkatan Webometrics Anraeni, Siska; Alwi, Erick Irawadi; Belluano, Poetri Lestari Lokapitasari; Gaffar, Andi Widya Mufila; Satra, Ramdan; Syafie, Lukman
Jurnal Abdidas Vol. 5 No. 1 (2024): February, Pages 1-63
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v5i1.870

Abstract

Saat ini, UPT PJP UMI telah memiliki website, namun pengelolaannya belum memenuhi standar penilaian webometrics, sehingga belum optimal dalam mempengaruhi peringkat webometrics UMI. Beberapa permasalahan muncul, seperti performa website yang mendapatkan nilai "B" berdasarkan pengukuran GTMetrix, jumlah backlink yang masih kurang, dan konten berita yang belum menggunakan standar SEO. Kegiatan pengabdian terfokus pada sosialisasi peningkatan pemeringkatan webometrics dan pendampingan dalam workshop manajemen konten website berbasis SEO. Hasil dari kegiatan ini mencakup peningkatan pemahaman pemeringkatan webometrics, peningkatan kemampuan pengelolaan website mitra, serta penyerahan modul "Pedoman Pengelolaan Website Berdasarkan Penilaian Webometrics" kepada UPT.PJP UMI. Hasil kegiatan ini berhasil mencapai tujuannya dengan memberikan kontribusi positif dalam meningkatkan kualitas pengelolaan website UPT.PJP UMI berdasarkan standar penilaian webometrics. Perolehan hasil persentase kuisioner pre dan posttest menunjukkan bahwa dari 10 orang peserta sosialisasi dan workshop mengalami peningkatan pemahaman tentang pemeringkatan webometrics dari 54% menjadi 76%. Diharapkan dengan peningkatan pemahaman peserta pelatihan dapat memberikan arah perubahan pemeringkatan webometrics UMI menjadi lebih baik di Tahun 2024 nantinya.
Analisis performa metode Support Vector Machine untuk klasifikasi dataset aroma tahu berformalin Saiman, La; Satra, Ramdan
Indonesian Journal of Data and Science Vol. 2 No. 2 (2021): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v2i2.28

Abstract

Bermunculan adanya kasus penyalahgunaan formalin sebagai bahan pengawet untuk tahu dan ketersediaan cara deteksi kandungan formalin yang tergolong tidak praktis dan membutuhkan tenaga ahli khusus, Penelitian ini bertujuan untuk melakukan analisis performa suatu metode. Pengolahan data tersebut digunakan untuk memprediksi terdapatnya kandungan formalin pada tahu melalui aroma yang dikeluarkan. Teknik klasifikasi yang digunakan yaitu dengan menggunakan pengukuran performa (Accuracy, Precision, Recall, dan F-Measure) menggunakan Metode Support Vector Machine. Inputan yang digunakan yaitu atribut data aroma tahu berformalin, dan tidak berformalin. Hasil penelitian ini menunjukkan metode SVM mempunyai kinerja yang cukup baik. Berdasarkan hasil pengujian menggunakan confusion matrix didapatkan hasil uji performa Metode SVM accuracy 67%, precision 69%, recall 67%, dan f-measure 66% dengan Nilai K=5.
Analisis Perbandingan Cloud Storage Pada Nextcloud Dan Owncloud Amran, Ainun RatuBulqis; satra, ramdan; fattah, farniwati
Indonesian Journal of Data and Science Vol. 2 No. 3 (2021): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v2i3.43

Abstract

Penyimpanan menggunakan cloud pada saat ini merupakan hal penting, selain sebagai media penyimpanan utama maupun sebagai media penyimpanan sementara atau backup. Hal tersebut didukung dengan berkembangnya teknologi jaringan yang semakin baik hingga memudahkan user dapat melakukan download dan upload secara mudah. Saat ini terdapat banyak jenis cloud yang tersedia dan dapat diinstall secara mandiri diantaranya yaitu Nextcloud dan Owncloud, pada penelitian ini penulis mencoba membandingkan performa yang dimiliki Nextcloud dan Owncloud melalui pengujian Quality of Services dalam proses upload dan download dokumen pada kedua cloud tersebut. Hasil penelitian ini Nextcloud memiliki performa yang lebih bagus dibandingkan dengan Owncloud dengan nilai packetloss sama namun nilai Throughput Owncloud lebih kecil dibandingkan dengan Nextcloud.
Analisis Risiko Sistem Informasi Menggunakan ISO 31000 Sebagai Upaya Manajemen Risiko Syahrul, Syahrul; Satra, Ramdan; Fattah, Farniwati
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 4, No 1 (2023)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v4i1.1543

Abstract

Sistem informasi studio.fikom.umi.ac.id adalah unit yang dikelola oleh Fakultas Ilmu Komputer Universitas Muslim Indonesia. Unit ini dibentuk sebagai lembaga pelatihan dan ujian sertifikasi bagi Dosen, Karyawan, Mahasiswa, Praktisi dalam lingkup UMI atau umum. Sistem informasi memiliki risiko yang beragam yang disebabkan oleh beberapa faktor misalnya alam/lingkungan, manusia serta sistem dan infrastruktur. Berdasarkan permasalahan tersebut, maka dilakukan penelitian untuk mendokumentasikan berbagai macam kemungkinan risiko serta prioritas risiko-risiko yang dapat mengganggujalannya sistem informasi studio.fikom.umi.ac.id. penelitian ini menggunakan ISO 31000:2018. ISO 31000 merupakan standar pengelolaan risiko yang terdiri atas tiga elemen yakni: prinsip (principle), kerangka kerja (framework), dan proses (process). Hasil penelitian menunjukkan 30 kemungkinan risiko yang berpotensi mengganggu kinerja studio.fikom.umi.ac.id. Terdapat 6 kemungkinan risiko yang masuk ke dalam level of risk tingkatan high. Berikutnya ada 18 kemungkinan risiko yang masuk ke dalam level of risk tingkatan medium. Serta terdapat 6 kemungkinan risiko yang masuk ke dalam level of risktingkatan low.
Analisis Performansi Jaringan dengan Metode Per Connection Queue (PCQ) dan Hierarchical Token Bucket (HTB) di SMK Latanro Enrekang Iskandar, M. Iqbal; Satra, Ramdan; Syafie, Lukman
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 4, No 1 (2023)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v4i1.1503

Abstract

Smk Latanro Enrekang merupakan salah satu sekolah kejuruan yang berada di kota Enrekang. Saat ini ada beberapa guru dan siswa yang memanfaatkan jaringan internet dari sekolah. Namun manajemen bandwidth di sekolah ini belum dapat digunakan secara optimal dalam mencukupi kebutuhan pengguna, dimana ketika banyaknya pengguna akses internet pada saat jam belajar dan kepentingan administrasi akan menyebabkan penggunaan banwdwith menjadi lambat. Salah satu cara untuk mengurangi penurunan performansi adalah dengan mengatur pembagian bandwidth antar pengguna dengan tepat. Penelitian ini bertujuan untuk mengukur performansi jaringan di SMK Latanro Enrekang dengan metode Per Connection Queue (PCQ) dan Hierarchical Token Bucket (HTB) serta menganalisa parameter pengukuran performansi jaringan dengan menggunakan Quality of Service (QoS). Hasil penelitian menunjukkan nilai rata-rata throughput dengan metode PCQ 1,2 Mbps dengan kategori TIPHON “Bagus” serta nilai rata-rata throughput dengan metode HTB  1,0 Mbps dengan kategori TIPHON “Bagus”, nilai rata-rata packet loss dengan metode PCQ 0,3% dengan kategori TIPHON “Sangat Bagus” serta nilai rata-rata packet loss dengan metode HTB 0,3% dengan kategori TIPHON “Sangat Bagus” dan nilai rata-rata delay dengan metode PCQ 6.42 ms dengan kategori TIPHON “Sangat Bagus” serta nilai rata-rata delay dengan metode HTB 5.92 ms dengan kategoriTIPHON “Sangat Bagus”.
Co-Authors Abdul Rachman Abdul Rachman Abdullah, Syahrul Mubarak Adam Ali Abdalla, Modawy Akhyar Abdullah Amal Israk Amran, Ainun RatuBulqis Andani Achmad Ari Bayu Saputra Arief Rachmansyah Arifin, Muh Awal As'ad, Ihwana Busaeri, Siti Rahbiah Dhimas Tribuana Djainuddin, Djainuddin Dolly Indra Erick Irawadi Alwi Erick Irawadi Alwi, Erick Irawadi Fahmi Fahmi Farniwati Fattah Fattah, Farniwati Fattah, Muhammad Hattah Fatwa Hadi Ilham Pamungkas Febryan, Febryan Fitriyani Umar Gaffar, Andi Widya Mufila Haeruddin, Harjuni Harlinda Lahuddin Harlinda, Harlinda Harno Supardin Harno Supardin Hayudin Hasnanda Maila Herman Herman Heru Sukoco Huzain Azis Irfan Irfan Irnawati Irnawati Irwan Ardyansah Iskandar, M. Iqbal Kasman Kasman Konate, Siaka Lahuddin, Harlinda lilis nurhayati Lokapitasari Belluano, Poetri Lestari Lutfi Budi Ilmawan Manga, Abdul Rachman Ming Foey Teng, Ming Foey Moh Zul Fitrah Mokh Sholihul Hadi Mokoagow, Akbar Rizki Mude, Muh. Aliyazid Muh. Aliyazid Mude Muhammad Arfah Asis Muhammad Fajrul Muhammad Fauzan Abdillah Rasyid Nidhom, Ahmad Mursyidun Nur Asri Ainun Gani Nur Indah Nur Indah, Nur Nurlinda Nurlinda, Nurlinda Nurmainna Nurmainna Rahman, Agussalim Rahman, Risna Rahayu Rahmat Suriadi Saiman, La Salawali, Cici Trisnawati Selvi Marcellia Siska Anraeni Sujito Sujito Sulistia Ningsih, Sulistia Syafie, Lukman Syahrul Syahrul Syamsul Arifin Umar Mansyur Usman Usman Uswatun Nurul Hasanah Wahyu Iriansyah Sopamena Wisnu Ananta Kusuma Yasin, Nurfatwa Andriani Yulita Salim Yusuf, Hadi Yuyun, Yuyun Zul Fahmi