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All Journal EDUMATIC: Jurnal Pendidikan Informatika PLAKAT : Jurnal Pelayanan Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) International Journal of Engineering, Science and Information Technology Progressive Physics Journal ELECTROPS : Jurnal Ilmiah Teknik Elektro
Happy Nugroho
Informatika, Program Studi Teknik Elektro, Universitas Mulawarman, Indonesia
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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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): Plakat: Jurnal Pelayanan Kepada Masyarakat
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.
104 / 5.000 Performance Analysis of the Electricity Production System of the Karang Asam Diesel Power Plant in Samarinda, East Kalimantan, for the 2024 Operational Year Alam Yurilianto Tulak; Fatkhul Hani Rumawan; Happy Nugroho; Muslimin Muslimin
ELECTROPS : Jurnal Ilmiah Teknik Elektro Vol 4, No 2 (2025): ELECTROPS : Jurnal Ilmiah Teknik Elektro
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/electrops.v4i2.23084

Abstract

East Kalimantan faces a growing electricity demand of 12% annually, while production increases only by 8.5%, posing a potential energy crisis. Diesel Power Plants (PLTD) remain the primary solution, despite their reliance on depleting fossil fuels. This study evaluates the performance of PLTD Karang Asam throughout 2024 using efficiency and reliability indicators.The analysis reveals that the average Capacity Factor (CF) is only 2.04%, significantly below PLN’s standard of 55–65%. The Output Factor (OF) is recorded at 7.25%, indicating low utilization of output energy relative to installed capacity. The Load Factor (LF) stands at 2.82%, fluctuating between 0.26% and 10.83%, reflecting low capacity usage and operational instability. In terms of reliability, the Operating Availability Factor (OAF) reaches 85.99%, showing good operational readiness. However, disruptions persist, with an Outage Factor (OF) of 6.96% and an Outage Rate (OR) of 1.1. Fuel consumption efficiency remains within PLN’s standard, with an average Specific Fuel Consumption (SFC) of 0.283. To improve efficiency and ensure sustainable electricity supply, PT PLN plans to implement a dieselization program, replacing PLTD with power plants based on New and Renewable Energy (NRE). This transition aims to reduce dependence on fossil fuels and enhance the stability of East Kalimantan’s power system.
Multiperson Automated Attendance System Based on Face Recognition Using YOLO and DeepFace with Active Learning Didit Suprihanto; Adi Pandu Wirawan; Kahlil Gibran Saputra; Arif Harjanto; Imam Muhammad Hakim; Happy Nugroho
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1772

Abstract

Accurate student attendance tracking is essential in academic environments, yet traditional methods remain inefficient and vulnerable to manipulation. This research presents a classroom attendance system based on facial recognition that integrates YOLO for multiperson face detection and the SFace model from the DeepFace framework for feature extraction and identity matching. A key contribution of this study is the implementation of an Active Learning mechanism that enables the system to update its embedding Database using user-provided corrections, enabling continuous adaptation to real classroom conditions. The system was developed as a Python-based desktop application and evaluated using 38 group images captured with various devices under uncontrolled lighting, diverse head poses, occlusion, and different classroom densities. Performance was assessed using accuracy, False Rejection Rate (FRR), and False Acceptance Rate (FAR) across two scenarios: before and after Active Learning. Experimental results show a substantial improvement after the learning process, with accuracy increasing from 52.0% to 96.6%, while maintaining a low FAR of 0%. These findings demonstrate that Active Learning effectively enhances recognition performance by enriching the embedding Database with real-world facial variations that do not present during initial registration. Overall, the proposed system highlights the importance of integrating Active Learning into face recognition–based attendance applications to improve robustness and adaptability in unconstrained multiperson classroom environments.
Co-Authors Adi Pandu Wirawan Aditya Rinaldi Aji Ery Burhandenny Alam Yurilianto Tulak Arif Harjanto Arif Harjanto Aulia Suhesty Budi Yannur Didit Suprihanto, Didit Edhi Sarwono Fatkhul Hani Rumawan Imam Muhammad Hakim Kahlil Gibran Saputra Milalia Rizqi Aulia Miranti Rasyid Muhammad Akbar Muslimin Muslimin Restu Mukti Utomo