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All Journal ILKOM Jurnal Ilmiah EDUMATIC: Jurnal Pendidikan Informatika PLAKAT : Jurnal Pelayanan Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Progressive Physics Journal
Happy Nugroho
Informatika, Program Studi Teknik Elektro, Universitas Mulawarman, Indonesia
Humanities Astronomy Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Health Professions Materials Science & Nanotechnology Physics Social Sciences

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Prototype System Water Level Reservoir untuk Pengendalian Kelebihan Air Dengan Mikrokontroller Arduino Uno R3 Budi Yannur; Didit Suprihanto; Happy Nugroho; Aji Ery Burhandenny; Restu Mukti Utomo
Jurnal Pendidikan Informatika (EDUMATIC) Vol 5, No 2 (2021): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v5i2.4223

Abstract

PDAM Loa Kulu Branch still uses sticks or poles as an indicator of the water level in the reservoir. Reservoir is a place to store clean water production from PDAM, the weakness of using sticks or poles is when the operator does not monitor continuously causing air loss when production becomes large. The goal of the study was to design a water-level prototype to control excess water in the reservoir. The method used is a prototype with the stage of gathering information through interviewing PDAM staff, creating and repairing prototypes and testing prototypes. The test used hardware consisting of arduino uno r3, ultrasonic sensor hc-sr04, flowmeter sensor yf-s201, 16 x 2 lcd, relay module, buzzer, solenoid valve 12 V_dc, pump 12 V_dc and display measurement results in the visual studio application 2019. Our findings are that the length of reservoir charging with an average input discharge of 3.6 liters / minute is 2.93 minutes. As for the length of emptying the reservoir with an average output discharge of 1.06 liters / minute is 12.10 minutes. The conclusion of this study is that the system can monitor the water level inside the reservoir automatically and know the time needed for the feeling and emptying process of the reservoir.
Peningkatan Keterampilan Pengasuhan Positif Orangtua Anak Berkebutuhan Khusus (ABK) Melalui Pelatihan Helping Parents with Challenging Children Miranti Rasyid; Aulia Suhesty; Happy Nugroho; Milalia Rizqi Aulia
PLAKAT : Jurnal Pelayanan Kepada Masyarakat Vol 1, No 2 (2019): Volume 1, Nomor 2 Tahun 2019
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/plakat.v1i2.2969

Abstract

Kehadiran seorang anak di tengah keluarga merupakan impian bagi setiap orangtua, namun rasa bahagia itu berubah menjadi kekecewaan ketika orangtua mengetahui bahwa anak mereka memiliki suatu hambatan tertentu. Berdasarkan hasil wawancara wawancara dengan beberapa orangtua dengan anak berkebutuhan khusus ditemukan bahwa mereka kurang mendapatkan informasi bagaimana mengasuh anak-anak mereka. Ketidaktahuan penanganan anak berkebutuhan khusus membuat beberapa orangtua mengalami stres dan frustasi ketika sedang berinteraksi dan mengasuh dengan anak-anak mereka. Tujuan dari pelatihan ini adalah untuk meningkatkan pengetahuan dan keterampilan orangtua dalam menemukenali kebutuhan anak dan menerapkan pengasuhan positif dalam keluarga. Metode pelatihan yang digunakan meliputi uji pre dan post tes pelatihan, sharing pengasuhan Anak Berkebutuhan Khusus (ABK), ceramah dan praktik cara mengenali kebutuhan dan pengasuhan positif, serta follow up penerapan metode pengasuhan positif di rumah selama satu minggu. Hasil pengabdian ada kenaikan pada tingkat pengetahuan orangtua tentang mengenali ciri-ciri ABK, mengenali perilaku dan kebutuhan ABK, serta pengasuhan positif pada ABK dibuktikan dengan kenaikan skor nilai pre-post tes sebanyak 5-30 poin. Peserta pelatihan sejumlah 15 orangtua yang memiliki anak ABK telah mampu mempraktikkan pengasuhan positif di rumah dengan benar selama satu minggu dan mencatatnya di jurnal harian agar dapat dievaluasi bersama dengan anggota keluarga lainnya.
Aplikasi Metode Spektrofotometri pada Klasifikasi Gas Karbon Monoksida (CO) dan Uap Bahan Bakar Petrodiesel (C14H30) Happy Nugroho; Edhi Sarwono; Aditya Rinaldi
Progressive Physics Journal Vol 1 No 1 (2020): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.713 KB) | DOI: 10.30872/ppj.v1i1.559

Abstract

Gas classification techniques are often found in several applied fields such as, detection of leak gas in gas cylinders, monitoring the threshold of harmful pollutant gases in the air, health diagnostics, early detection of fire hazards, and others. This requires measurement techniques that are adaptive and robust that can dynamically capture information on changes in vapor or gas compounds contained in free air. This research has been conducted to analyze and identify the types of gas compounds, namely CO and petrodiesel fuel vapor (C14H30). The design of this tool uses the principle of spectrophotometry and the calculation of Backprogation Neural Networks. The working principle is that light radiation in the Light Emitting Diode (LED) series, which has a wavelength range of 385nm to 1720nm, is absorbed to penetrate CO gas or petrodiesel fuel vapor (C14H30) that you want to identify. Light radiation that has passed through the gas / vapor compound was captured by the photodiode sensor. The emission of LED series light radiation produces different wavelength absorption patterns that will be processed by the Backprogation Neural network as an input signal in the identification and learning process. The results of this experiment show the success rate of the Backpropagation neural network in identifying the type of CO gas and petrodiesel fuel vapor (C14H30) is 80%.
PROTOTYPE OF THE INTERNET OF THINGS-BASED SWALLOW BUILDING MONITORING AND SECURITY SYSTEM Didit Suprihanto; Happy Nugroho; Aji Ery Burhandenny; Arif Harjanto; Muhammad Akbar
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.858

Abstract

The Swallow nest production in a cultivation building have high commercial value. There are several factors that affect nest productivity such as light intensity, temperature and humidity conditions in the cultivation building. Better factors can be found in cultivation building that located far from residential area. However, this led to a risk of theft. Therefore, this study proposes a system that able to monitor the productivity factors and safety status of the building. System development uses a comparison method with black box testing. The system controller uses the Raspberry Pi B+ and the python programming language. Sensor Modules (GY-302, DHT-22, BME-280) are used to monitor light intensity, temperature and humidity. The security system uses sensor modules (LDR LM393, PIR HC-SR501 and SW-420) as flashlight, motion and vibration detectors. The black box testing result shows a good performance of the proposed system. The monitoring and security system can monitor the condition of swallow cultivation parameters and security status that can turn on alert alarms, send WhatsApp messages, store log data and send data to the website periodically according to the level of conditions that occur.
Design and Build of IoT Based Flood Prone Monitoring System at Semani’s Pump House Drainage System 'Aisyah 'Aisyah; Aji Ery Burhandenny; Happy Nugroho; Didit Suprihanto
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1581.303-316

Abstract

Floods are a common disaster in watersheds, and flood control is difficult. However, losses can be reduced by quickly disseminating alert status information. This paper proposes a prototype of a monitoring system that can determine the status of flood alerts in real time and quickly disseminating to the community, allowing people to be better prepared for flood disasters. The system was developed using the RD method and consists of hardware and software development. The hardware comprises several sensor modules to read the discharge, temperature, humidity, and water level and to transmit the readings to the software. The software is divided into two applications: a website application and a Telegram application. The public can find the flood alert status history data from the website and obtain flood alert status warning messages and the latest alert status from Telegram. The results of the tests indicated that the sensors were very accurate, with a MAPE value of less than 10%. The software test also showed that the input and output were according to design. The proposed system can potentially reduce flood losses by providing early warning information to the community. The system is also scalable and adaptable to other watersheds.
Co-Authors 'Aisyah 'Aisyah Aditya Rinaldi Aji Ery Burhandenny Arif Harjanto Aulia Suhesty Budi Yannur Didit Suprihanto, Didit Edhi Sarwono Milalia Rizqi Aulia Miranti Rasyid Muhammad Akbar Restu Mukti Utomo