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Perancangan Sistem Informasi Akademik Sekolah Dasar Dengan Metode Waterfall Berbasis Website Lutviana, Lutviana; Arfianto, Irfan; Rohman, Taufik Fadhil; Sumantri, R. Bagus Bambang; Suryani, Riska
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.v4i1.1550

Abstract

Sekolah menjadi sebuah sistem yang terdiri dari komponen-komponen yang saling berkaitan dan saling memengaruhi satu sama lain untuk mencapai suatu tujuan. Dalam pencapaian tujuannya sekolah banyak melakukan pengolahan data yang cukup kompleks dan dinamis. Pengolahan data akademik sekolah secara manual masih belum efektif karena masih banyak kesalahan-kesalahan yang terjadi. Hasil perancangan Sistem Informasi Akademik menjadi solusi untuk membantu pengolahan data menjadi lebih efektif. Metode yang digunakan dalam perancangan sistem ini adalah salah satu metode SDLC, yaitu metode waterfall yang terdiri dari beberapa tahapan yaitu analisis, desain, implementasi, pengujian, dan pemeliharaan. Dalam tahap desain dibuat diagram ERD dan DFD. Dan digunakan pengujian Black-Box untuk pengujian perancangan sistem ini.
Monitoring the pH Levels of Well Water in the Home Industri Sarung Goyor Village, Pemalang, Using IoT Technology and Inverse Distance Weight Method Ashari, Imam Ahmad; Purwono, Purwono; Arfianto, Irfan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27388

Abstract

The Sarung Goyor Home Industry business, located in Wanarejan Utara Village, Pemalang, has been running for several years. However, the use of residual textile dyes in the process of making goyor sarongs now poses a threat to the quality of well water in the area where residents live. This condition is a serious concern because some residents rely on water from the well for drinking, cooking, bathing, and washing. One of the impacts of this textile waste is abnormal water pH. The solution requires real-time monitoring of the pH of well water by utilizing Internet of Things (IoT) technology and pH sensors. In this solution, direct sampling using sensors is carried out at 3 monitoring points around the industrial area and processed to estimate the pH level of residents' well water. This monitoring system succeeded in showing that the average pH of well water was in a safe condition, namely 7.18, not much different from tests carried out with reference sensors, namely a pH range between 6.96 to 7.20. The findings show that in testing the assembled sensor, the IDW method has a measurable error rate with an RMSE of about 0.2629 and a MAPE of about 4.669%. When compared with the test results using a reference sensor, the RMSE value reaches around 0.4666 and the MAPE is around 6.553%.