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All Journal Jurnal Sains dan Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Teknika: Jurnal Sains dan Teknologi Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JST ( Jurnal Sains Terapan ) Jurnal Listrik, Instrumentasi, dan Elektronika Terapan KESANS : International Journal of Health and Science Journal of Internet and Software Engineering Indonesian Research Journal on Education Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Rekayasa elektrika

Muhammad Arrofiq

Universitas Gadjah Mada

Author-ID : 2457377

Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 29 Documents Claim Missing Document

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Articles

Title

A Performance Comparison of XBEE S2 Module and ESP8266 (12E) Module on Air Quality Monitoring System Erwanto, Ricky Hastomo; Arrofiq, Muhammad
Journal of Internet and Software Engineering Vol 1 No 1 (2020): Journal of Internet and Software Engineering
Publisher : Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada

The development of wireless sensor network (WSN) technology has progressed very rapidly. These developments also triggered the development of wireless modules used in WSN. Xbee and ESP8266 are wireless modules that are often used to design wireless sensor networks. Xbee uses the IEEE 802.15.4 standard while ESP8266 uses the IEEE 802.11 b / g / n standard. In this research will be comparison of wireless modules between Xbee and ESP8266 to test the performance of the wireless module. Comparison is performed by testing the value of throughput, delay packet, and packet lost. The test will be applied to the air quality monitoring system using the MQ135 sensor. The result of the research is the comparison of parameters tested from both wireless modules.

Data Traffic Analysis on an Electric Current Monitoring System Romadhon, Mohammad Rizki; Arrofiq, Muhammad
Journal of Internet and Software Engineering Vol 1 No 1 (2020): Journal of Internet and Software Engineering
Publisher : Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada

Change and Innovation continues as the times progress. Especially in the field of technology, one of which is the Internet of Things (IoT). With the existence of this technology, electronic devices can be connected to the internet. This will simplify the process of data transmission and device control. With this aim, the authors do research on the implementation of IoT technology on electronic devices, especially in the field of electricity. Electrical energy monitoring systems are used to detect the use of electrical energy used by the load. In this monitoring system, the measurement of the electric current using the current sensor. The measurement data made by the current sensor will be processed by the microcontroller. The research developed arduino-based monitoring systems and databases aimed at detecting and monitoring the use of electric current. In addition, it also performs analysis of data traffic from arduino devices and databases, to find out data delay, throughput or packet loss by using Wireshark.

Received Signal Level (RSL) Strength Assessment of 2.4 GHz in A Hotel Meeting Room Fauzi, Amar; Arrofiq, Muhammad
Journal of Internet and Software Engineering Vol 1 No 1 (2020): Journal of Internet and Software Engineering
Publisher : Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada

This study aims to analyze the signal quality of the building profile factor at the Ballroom of Tentrem Hotel Yogyakarta, organized by the value of RSL (Received Signal Level) as an indicator of signal strength level of each access point of the Tentrem Hotel Ballroom meeting room, and calculate other parameters such as EIRP (Effective Isotropic Radiated Power), free space loss with theoretical and measurement levels. Receive level signals in the field using the Netsurveyor and Vistumbler applications installed on the laptop and the Wifi Overview and Wifi Analyzer app installed on the smartphone. From the results of both RSL calculations in theory and its changes. Damping factors in the field such as diffraction effect, refraction, reflection, absorption or blocking. The average field summary shows the RSL values in turn "very good" and "good" there is no "low" indicator, the connection in every meeting room of Tentrem Hotel Ballroom is good and normal. Will, found some problems in the field that can cause a decrease in signal quality so that efforts need to optimition. Keywords: Wireless Local Network, Received Signal Level, Effective Isotropic Activated Power, free space loss.

Purwarupa Sistem Klasifikasi Legalitas Investasi Berbasis Algoritma Bidirectional Long Short Term Memory Nugraha, Muhammad Navi; Arrofiq, Muhammad
Journal of Internet and Software Engineering Vol 5 No 1 (2024): Journal of Internet and Software Engineering
Publisher : Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jise.v5i1.8938

Investasi ilegal telah menjadi permasalahan serius di Indonesia, yang mengakibatkan kerugian finansial yang signifikan bagi investor dan perekonomian. Pengecekan legalitas perusahaan investasi secara manual belum efektif dan memakan waktu. Oleh karena itu, penelitian ini memanfaatkan teknologi machine learning dengan metode text classification untuk melakukan prediksi otomatis terhadap pesan investasi. Metode text classification digunakan dalam penelitian ini untuk mengategorikan pesan investasi berbahasa Indonesia dari media sosial, terutama Telegram, menjadi legal atau ilegal. Tujuan penelitian ini adalah merancang purwarupa sistem deteksi legalitas investasi. Dataset yang digunakan diperoleh dari media sosial Telegram, terdiri dari dua varian dengan jumlah 2996 data dan 210 data yang mencakup pesan investasi legal dan ilegal. Proses penelitian meliputi pengumpulan data, preprocessing, pelatihan model klasifikasi, evaluasi, dan pembuatan aplikasi web untuk deteksi pesan investasi. Dalam penelitian ini, dua algoritma, yaitu BiLSTM dan LSTM, diimplementasikan dan dibandingkan. Pengujian dilakukan dengan mempertimbangkan jumlah data dalam dataset, rasio pembagian dataset, penggunaan algoritma BiLSTM dan LSTM, confusion matrix, serta aplikasi web. Hasil pengujian menunjukkan bahwa model klasifikasi teks dengan algoritma BiLSTM dan jumlah data 2996 dengan rasio pembagian 70:30 memberikan performa tertinggi dibandingkan varian lain. Model dengan algoritma BiLSTM tersebut mampu mencapai akurasi sebesar 96%, presisi 98%, dan recall 93%. Aplikasi web berhasil mendeteksi pesan investasi menggunakan model dengan performa tertinggi dan berjalan sesuai dengan rancangan yang telah ditetapkan.

Co-Authors Abelta Mika Setiarini Afrizal Mayub Alfonzo Aruga Paripurna Barus Atikah Surriani A’yun, Qurrota Bagus Mulyo Tyoso Benidiktus Tulung Prayoga Budi Bayu Murti Budi Sumanto Cahyono, Rochim Bakti Dandy Abdul Rahman Della Vinka Sandi Erwanto, Ricky Hastomo Esa Apriaskar Fadhilah, Nisaun Fahmizal . Fahmizal Fahmizal Fahmizal Fahmizal Fahmizal, Fahmizal faisal Reza Farid Hasan Fauzi, Amar Galih Setyawan Hidayat Nur Isnianto Humaira, Shafura Idianingrum TW, Yessi Ilhamni, Ilhamni Iman Sabarisman IRSYADI, FAKIH Jimmy Trio Putra Jimmy Trio Putra Lestari Budiani, Ratna Lubis, Resta Hayani Lukman Subekti Mayub, Afrizal Msy Yustenti Nabila P Muthahhari, Ahmad Adhiim Nisaun Fadhilah Nugraha, Candra Febri Nugraha, Muhammad Navi NUGROHO, LUKMAN SIDIQ P, Matthew Sebastian Pradika Sakti Prasetyo , Budi Eko Putri, Windi Aulia R Arif Tri Rahmawanto Rijeqi Rahmawati Romadhon, Mohammad Rizki Ronald Adrian, Ronald Suyoto Suyoto SYAHRONI, IVAN Zulheldi Zulheldi

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