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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) The Indonesian Journal of Computer Science
Mahmudah, Haniah
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Computer Science & IT Electrical & Electronics Engineering Engineering Social Sciences

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Pemanfaatan Alat Monitoring Kadar Air Pada Gabah untuk Peningkatkan Kualitas Panen Zainudin, Ahmad; Santoso, Tribudi; Wijayanti, Ari; Pratiarso, Aries; Sudarsono, Amang; Mahmudah, Haniah; Siswandari, Nur Adi; Budikarso, Anang; Syahroni, Nanang; Wahyuningrat S., Hari; Siswanto, Anang; Juliansyah, Farel; Farhan, Donny; Susanti, Tri
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 4, No 2 (2020)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/jd.v4i2.457

Abstract

Indonesia merupakan salah satu negara  agraris dimana sebagian besar penghasilan masyarakat Indonesia yaitu dari pertanian. Untuk mempertahan harga jual hasil pertanian, maka diperlukan perhatian khusus dalam penyimpanan hasil panen di gudang terutama kadar air hasil panen. Pada penelitian dalam bentuk kegiatan pengabdian kepada masyarakat ini dibuat sebuah alat monitoring kadar air pada gabah dengan memanfaatkan mikrokontroler node MCU dan sensor kadar air yang terhubung ke internet. Data monitoring kadar air disimpan pada database dan pengguna dapat mengaksesnya melalui perangkat smartphone pada halaman website. Sehingga pengguna dapat mengakses kondisi hasil panen mereka yang ada di gudang bisa dilakukan dimana saja. Kegiatan pengabdian masyarakat dilaksanakan di Desa Kampungbaru, Nganjuk. Berdasarkan hasil implementasi dan pengujian, hasil pembacaan sensor kadar air pada gabah sebesar 14% dapat dikirim ke server dan dapat diakses oleh pengguna menggunakan smartphone.   
Implementasi Telemetri dan Evaluasi Performansi Sistem Komunikasi Lora di Daerah Pesisir Pantai PUSPITORINI, OKKIE; MAHMUDAH, HANIAH; WIJAYANTI, ARI; SISWANDARI, NUR ADI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 1: Published January 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i1.180

Abstract

ABSTRAKSistem komunikasi dikembangkan untuk peningkatan ekonomi nelayan. Penelitian yang dikembangkan sistem komunikasi antar nelayan dengan pesisir pantai dengan biaya murah serta mempunyai jangkauan jarak yang terbatas. Untuk mengatasi jarak jangkauan jauh maka pada penelitian ini mengimplementasikan sistem komunikasi Lora multihop menggunakan telemetri dengan daya transmisi 24 dBm atau 250 mW. Sistem ini terdiri blok end device berupa telemetri berada pada kapal nelayan, blok gateway pada pinggir pantai, dan blok server application pada end user serta tampilan berupa website nelayan. Hasil pengujian telemetri sebagai transceiver dengan komunikasi multihop mampu digunakan untuk pengiriman data menghasilkan daerah jangkauan 7,2 km menjauhi pantai. Telemetri mengirimkan data ke gateway di pantai kemudian data diteruskan ke server cloud sebagai database. Perancangan database menggunakan model data relasional dan pengolahan data menggunakan algoritma FIFO. Hasil pengujian performansi sistem pada pengujian aplikasi front-end dan back-end menunjukan bahwa performansi sistem mampu menangani permintaan user secara cepat. Kata kunci: Telemetri, Lora, Multihop, Aplikasi, Pesisir Pantai ABSTRACTCommunication system was created to boost economic of fishing industry. Research created an inexpensive distance-restricted communication system for fishermen and coast. This study uses telemetry with transmission strength of 24 dBm or 250 mW to create multihop Lora communication in order to cross great distances. This system comprises of gateway block on coast, application server block on end user, display in form of fisherman's website, and end device block in form of telemetry on fishing boat. Using findings of testing telemetry as transceiver with multihop connection, coverage area of 7.2 km can be employed for data transfer. Data is transmitted from telemetry to coastal gateway and then sent to cloud server where it is stored as database. FIFO algorithm are used relational data modeling and data processing in database design. System's ability to handle user requests rapidly is demonstrated by results of front-end and backend application testing for system performance.Keywords: Telemetri, Lora, Multihop, Application, Coast
Detecting road damage utilizing retinanet and mobilenet models on edge devices Mahmudah, Haniah; Aisjah, Aulia Siti; Arifin, Syamsul; Prastyanto, Catur Arif
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1430-1440

Abstract

A particular form of road digitalization produces a system that detects road damage automatically and in real time, employing the device to detect road damage as an edge device. The application of RetinaNet152 and MobileNetV2 models for road damage detection on edge devices necessitates a trade-off between high system performance and efficiency. Currently, edge devices have limited storage. In this paper, we explore how tuning hyperparameters with batch size and several optimizers improves system performance on RetinaNet152 and MobileNet models, as well as how they are implemented on edge devices. After tuning hyperparameters in the batch size of the optimizer, the Adam optimizer displayed enhanced performance with mean average precision (mAP), average recall (AR), and F1-score. This implies a positive impact on overall model performance. The MobileNetV2 model's hyperparameter tuning technique significantly improves performance, resulting in faster inference times and overall system performance. This demonstrates that the MobileNetV2 model could be used directly on edge devices to identify road damage. However, the RetinaNet152 model has a lower inference time, which cannot be deployed directly to edge devices. The RetinaNet152 model can be deployed on edge devices; however, a technique for speeding up inference time is essential.
Design and Development of a System for Monitoring Student Attention and Concentration during Learning using CNN Model and Face Landmark Detection Arifin, Syamsul; Aisjaha, Aulia Siti; Fatima, Azzezza Nurul; Mahmudah, Haniah
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2897

Abstract

Mobile learning media has been wide and provides a tendency for lecturers to identify students' concentration levels in online classes. To bring the class into active learning, efforts are needed from lecturers and educational institutions to return students' concentration to the ongoing learning process. In this paper, a monitoring and alarm system is designed to increase student concentration and combines two elements of statistical analysis to validate CNN models that recognize face emotions in real time while learning. The research was carried out by recording face data using a camera, extracting digital features, and analyzing facial features. The results of the analysis are used as data input for the decision-making system regarding the level of concentration. The concentration level will be used to activate alarms and send them via chat so that students can focus on learning.The system is created by merging facial expression recognition (FER) and decision-making with a convolutional neural network. The system using a face landmark via camera V2 and a Raspberry Pi 4 performed with the Haar-Cascade classifier, extracting facial features. Face detection via camera is performed using the Haar-Cascade classifier, which extracts facial features. The results of CNN model face detection with landmark features showed good results, with weighted average performance of precision, recall, and F1-score close to 0.99. According to the implementation results, the average number of facial expressions identified in drowsy and neutral states. The device can alert lecturers to how frequently drowsy detects students within a 10-minute interval.
Vehicle Type Classification and Detection System using YOLOv7-tiny Model on Single-Board Computer Nadziroh, Faridatun; Sa’adah, Nihayatus; Widyatra Sudibyo, Rahardita; Mahmudah, Haniah; Imam Rifai, Moch.
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14637

Abstract

Transportation is playing an important role for human civilization, for example transportations is being used as distributing goods and products. Therefore, the total numbers of vehicles as a part of transportation will continue to increase every year. But in Indonesia, the majority of its people is still using their personal transport rather than public transportation. This is supported by the data of total number of vehicles in Indonesia from 2018 – 2020, which is shows that personal transport is still dominant than public transportation. The causes of traffic jams is a result of various factors, such as the roads are not designed to accommodate the increasing number of vehicles, insufficient traffic signs, and poor traffic management. The road traffic data is one of the aspects that could reduce traffic jams. The process of collecting road traffic data which is still done manually has several shortcomings, such as it takes a long time and there may be errors due to human error. This research has a goal to create a vehicle type detection and classification system that have a good detection accuracy and detection speed that can be run on single-board computer devices. YOLOv7-tiny model that performs detection and classification using input from video on the NVIDIA Jetson Nano device gets a True Positive (TP) score of 96.58%, a False Positive (FP) score of 0.98%, and a False Negative (FN) score of 2.44%. YOLOv7-tiny on the NVIDIA Jetson Nano device can run with an average Frame per Second (FPS) of 6 FPS.
Edge Computing-Based Automated Vehicle Classification System Using the MobileNet V2 Model Widyatra Sudibyo, Rahardhita; Mahmudah, Haniah; Hadi , Moch. Zen Samsono; Sa'adah, Nihayatus
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3106

Abstract

The volume of traffic in one day is referred to as the average daily traffic volume. The Average Daily Traffic System (LHR) is also used to detect road damage caused by excessive vehicle loads. In the LHR system, vehicle data is still collected manually, with humans calculating the type and number of vehicles based on observations made and then divided into a time span. As a result, a system with a camera and deep learning data processing is required to automatically calculate the type and number of vehicles. The goal of this research is to develop edge computing systems by improving the system's performance in the calculation and classification of vehicles using the SSD MobileNet V2 model. The results of the MobileNet model scenario 5 have the lowest loss value of the five scenarios. The MobileNet V2 model can better classify vehicle types with a 65 FPS inference process.
Performance Analysis of Scheduling Schemes for Femto to Macro Interference Coordination in LTE-Femtocell Deployment Scenario Ainul, Rafina Destiarti; Mahmudah, Haniah; Wijayanti, Ari
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (563.184 KB) | DOI: 10.24003/emitter.v4i1.114

Abstract

Deploying femtocells that have low power level in LTE with small coverage area is an alternative solution for mobile operators to improve indoors network coverage area as well as system capacity. However deploying femtocells (HeNB) that were used co-channel frequency, can be brought about interference problem to the Macro BTS (eNB). Close Subscriber Group (CSG) of HeNB allows only User equipment (UE) to access HeNB. HeNB is the source of interference for UE who cannot access it. Therefore it is necessary for interference coordination methods among the HeNB and eNB. The methods are ICIC (Intercell Interference Coordination) and eICIC (enhanced Intercell Interference Coordination).  This paper proposed performance analysis of scheduling schemes for Femto to macro interference coordination that allocated resource in the frequency and time domain using LTE-Femtocell suburban and urban deployment scenario. Simulation result using ICIC methods can improve SINR performance 15.77 % in urban and 28.66 % in suburban, throughput performance 10.11 % in urban and 21.05 % in suburban. eICIC methods can improve SINR performance 17.44 % in urban and 31.14 % in suburban, throughput performance 19.83% in urban and 44.39 % in suburban.The result prove using eICIC method in time domain resource have better performance than using ICIC method in frequency resource. However using eICIC method in suburban deployment scenariocan increase the performance of SINR and throughput more effective than using eICIC method in urban deployment scenario.
Performance Analysis of Cell Zooming Based Centralized Algorithm for Energy Efficient in Surabaya Mahmudah, Haniah; Puspitorini, Okkie; Wijayanti, Ari; Siswandari, Nur Adi; Yuanita, Rosabella Ika
EMITTER International Journal of Engineering Technology Vol 4 No 2 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.589 KB) | DOI: 10.24003/emitter.v4i2.155

Abstract

The cellular subscribers’s growth over the years increases the traffic volume at Base Stations (BSs) significantly. Typically, in central business district (CBD) area, the traffic load in cellular network in the daytime is relatively heavy, and light in the daynight. But, Base Station still consumes energy normally. It can cause the energy consumption is wasted. On the other hand, energy consumption being an important issue in the world. Because, higher energy consumption contributes on increasing of emission. Thus, it requires for efficiency energy methods by switching BS dynamically. The methods are Lower-to-Higher (LH) and Higher-to-Lower (HL) scheme on centralized algorithm. In this paper propose cell zooming technique  which can adjusts the cell size dynamic based on traffic condition. The simulation result by using Lower-to-Higher (LH) scheme can save the network energy consumption up to 70.7917% when the number of mobile user is 37 users and 0% when the number of mobile user is more than or equal to 291 users. While, Higher-to-Lower (HL) scheme can save the network energy consumption up to 32.3303% when the number of mobile user is 37 users and 0% when the number of mobile user is more than or equal to 292 users. From both of these schemes, we can analyze that by using Lower-to-Higher (LH) scheme reduces energy consumption greater than using Higher-to-Lower (HL) scheme. Nevertheless, both of them can be implemented for energy-efficient method in CBD area. Eventually, the cell zooming technique by using two schemes on centralized algorithm which leads to green cellular network in Surabaya is investigated.
Analysis of Energy Consumption Using Sequential to Better Signal (SBS) Scheme for Green Celluler Network Mahmudah, Haniah; Puspitorini, Okkie; Wijayanti, Ari; Siswandari, Nur Adi; Kusumaningrum, Yetik Dwi
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.481

Abstract

Over time, cellular communication technology developed significantly from year to year. This is due to increasing the number of users and the higher needed. To overcome this problem, many providers increase the number of new base station installations to fill up the customer's needed. The increase number of base stations does not take into account the amount of power consumption produced, where in the cellular network Base Stations (BS) are the most dominant energy consuming equipment estimated at 60% - 80% of the total energy consumption in the cellular industry. In addition, energy waste often occurs in the BS where the emission power will always remain even if the number of users is small. Power consumption and energy savings are important issues at this time because they will affect CO2 emissions in the air. This paper proposes to save energy consumption from BS by turning off BS (sleep mode) if the number of users is small and distributed to other BS (neighboring BS) which is called cell zooming technique. The cell size can zoom out when the load traffic is high and zoom in when the load traffic is low. To determine the central BS and neighboring BS, a sequential to better signal (SBS) scheme is used where this scheme sorts neighboring BS based on the SINR value received (user). The results of this research, base station can be able to save energy 29.12% and reduce CO2 emission around 3580 kg/year. It means saving energy consumption which is also reducing air pollution occurs and this term can be named as green cellular network.
Co-Authors Abd. Rasyid Syamsuri Aisjaha, Aulia Siti Amang Sudarsono, Amang Anang Budikarso, Anang Anang Siswanto, Anang Ari Wijayanti Aries Pratiarso, Aries Aulia Siti Aisjah Catur Arif Prastyanto, Catur Arif Farhan, Donny Fatima, Azzezza Nurul Hadi , Moch. Zen Samsono Imam Rifai, Moch. Juliansyah, Farel Kusumaningrum, Yetik Dwi Nadziroh, Faridatun Nur Adi Siswandari Okkie Puspitorini, Okkie Rafina Destiarti Ainul Sa'adah, Nihayatus Santoso, Tribudi Sa’adah, Nihayatus Syahroni, Nanang Syamsul Arifin TRI SUSANTI Wahyuningrat S., Hari Widyatra Sudibyo, Rahardhita Widyatra Sudibyo, Rahardita Yuanita, Rosabella Ika