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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) ELINVO (Electronics, Informatics, and Vocational Education) Jurnal IPTEK JURNAL DINAMIKA VOKASIONAL TEKNIK MESIN Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Soeropati: Journal of Community Service Jurnal Teknologi KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Jurnal Teknologi dan Terapan Bisnis
Angga Debby Frayudha
Politeknik Semen Indonesia
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Simulasi 3D Pertumbuhan Kedelai Pada Pemberian Variasi Dosis Formula Pupuk Organik Cair Dan Urea Menggunakan Anfis Berbasis XL System Frayudha, Angga Debby; Suhartono, Suhartono; Suyono, Suyono
MATICS Vol 12, No 1 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i1.8150

Abstract

Kedelai  Glycine max (L.) Merrill var. Willis merupakan salah satu tanaman pangan dan sudah menjadi kebutuhan pokok di indonesia. Dengan berkembangnya teknologi sekarang ini tanaman kedelai mulai disimulasikan dalam bentuk 3D menggunakan aplikasi Groimp yang berbasis XL System, untuk membuktikan simulasi pertumbuhan dilakukan penelitian, menggunakan pupuk organik dan pupuk urea pada perlakuan yang berbeda. Penelitian ini bertujuan untuk mengetahui pengaruh pemupukan dengan pupuk organik cair terhadap produktivitas tanaman. Perlakuan dosis pemupukan yaitu : P1 (3 ml pupuk organik/1 liter air/Sore), P2 (3 ml pupuk organik/1 liter air/Pagi), P3 (2 gr pupuk urea/1 liter air/Sore), P4 (2 gr pupuk urea/1 liter air/Pagi). Parameter yang diamati yaitu tinggi tanaman, panjang batang, jumlah cabang, jumlah daun. Data yang diperoleh dimasukan dan dihitung menggunakan ANFIS setelah proses training didapat error terkecil dan dari situlah pemilihan tanaman akan disimulasikan dalam bentuk 3D. Hasil penelitian menunjukkan bahwa pemupukan dengan pupuk urea dapat meningkatkan produktivitas tanaman kedelai dibandingkan dengan menggunakan pupuk Organik Cair. Pada penelitian didapat  tumbuhan mengalami etiolasi, tanaman dipindah ke tempat yang lebih lapang pada hari ke 28 ternyata tidak memberi pengaruh signifikan terhadap tanaman yang semestinya umur kedelai sudah berbunga pada umur ke 35-40 hari ternyata belum berbunga, sehingga diharapkan tanaman musim memang harus ditanam pada musimnya agar hasilnya maksimal serta kondisi lingkungan harus diperhatikan.
Road Flood Warning Detection Using Wireless Sensors and Fuzzy Logic to Support Gresik Smart City Frayudha, Angga Debby
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28380

Abstract

In this paper, we study how to overcome the urgency of flooding that occurs suddenly around the city of Gresik using wireless sensors with fuzzy logic to support Gresik smart city. The process of making flood alarm detection is very difficult to solve. To overcome this, we propose the use of wireless sensors using fuzzy logic in flood-prone areas. Fuzzy logic is used to process sensor data to find more accurate results to improve accuracy and efficiency. Two sensors are installed at the flood warning test point, using Wemos D1 MINI / NodeMCU so that the IoT network can be connected to the server. The data obtained from the measurement results are processed using fuzzy logic. Fuzzy will provide flood warnings automatically when the height is 30 cm and above. The method used is qualitative and product development research. The results after conducting 100 trials showed that there were six cases of errors in reading the water level, so that from the trial an error of 6% was obtained from the sensor made and a success accuracy of 94% was obtained. The research conducted concluded that the research results were as expected. In this way, public safety against sudden flood events will increase.
Power BI and SQL Server Dashboard Data for Monitor Transportation Presence Employees at PT PON Gresik Frayudha, Angga Debby; Agung, Hamzah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 1 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i1.24149

Abstract

Employee presence is a crucial aspect in office management. It reflects the way employees work in a company and can impact their productivity. A high level of productivity can indicate achievement of company targets. However, this attendance data is often large and has not been processed. To turn it into valuable information, Business Intelligence (BI) software is needed that is able to visualize employee attendance and transportation data. This research aims to create a dashboard that shows employee attendance data, including entry hours and attendance status, as well as transportation data such as expenditure for each type of vehicle and travel destination code. Microsoft Power BI was used for data visualization, while Microsoft SQL Server Management Studio was used to create the database. Data is collected and processed so that it can become a source of information. The research results include a daily attendance dashboard with peak attendance at 08.00 and 21.00. The trip dashboard shows the highest fare with travel code "7AA0112" exceeding Rp. 12,000,000.00 from PT. PON Gresik. Travel information shows transportation use in Jakarta, Bandung and Surabaya with the largest total fare in Jakarta reaching Rp. 97,761,000.00
Co-Authors Aris Puja Widikda Aris Yulianto Fatmawatul Qomariyah Hamzah Agung Harjanto, Chrisna Tri Juwita, Mario Benson Moh Sugihariyadi Pande, Ivan Roy Purwanti, Siti Putra, Mario Benson Suyono Suyono Tri Adi Prasetya