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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK Jurnal Teknik Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JMM (Jurnal Masyarakat Mandiri) JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknologi TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Prosiding Konferensi Nasional PKM-CSR eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Jurnal Rekayasa elektrika Serambi Engineering SWAGATI: Journal of Community Service
Dien Rahmawati
Universitas Telkom
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Nursing Public Health Social Sciences Other

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Sistem Klasifikasi Tangisan Bayi Menggunakan Machine Learning Aisha Medina Arafat; Wahmisari Priharti; Dien Rahmawati
eProceedings of Engineering Vol 10, No 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

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Abstract

Abstrak— Salah satu permasalahan yang dihadapi oleh orang tua yang baru memiliki anak adalah sulitnya memahami maksud dari tangisan bayi mereka. Pengklasifikasian penyebab tangisan bayi sudah mulai diteliti dari tahun 1960 dengan menggunakan bantuan manusia (suster anak berpengalaman) untuk mengenali ‘sinyal’ penyebab tangisan bayi. Pada sebuah studi tahun 2006 oleh Dunstan, ditemukan pola refleks suara pada bayi yang dapat diartikan kedalam 5 penyebab tangisan, yaitu butuh bersendawa, tidak nyaman, lapar, sakit perut, dan lelah. Teori ini Bernama Dunstan Baby Language (DBL). Dengan berkembangnya teknologi kecerdasan buatan berupa audio classification, hal ini dapat menjadi solusi untuk permasalahan orang tua baru yang belum memahami arti tangisan bayinya. Untuk itu, pada Tugas Akhir ini penulis merancang sebuah simulasi sistem klasifikasi penyebab tangisan bayi menggunakan Machine Learning dengan ekstraksi fitur MFCC (Mel-Frequency Cepstral Coefficients) dan pengklasifikasian ANN (Artificial Neural Network). Pembuatan dan pengujian sistem ini menggunakan sampel suara dari dataset penelitian sebelumnya yang berisi suara-suara tangisan bayi. Dengan model yang telah dibuat menggunakan n_mfcc 40, 1 hidden layer dengan dense 300, dihasilkan akurasi validasi saat training sebesar 65% dan F1 Score saat testing sebesar 49%.Kata kunci— klasifikasi tangisan bayi, DBL, MFCC, ANN
Flood Early Warning System Prototype Based on Ultrasonic Sensor and Internet of Things Muhammad Thoriq Arkaan Susila; Ilham Nadiyansyah Firdaus; Muhammad Farid Chuzairi; Dien Rahmawati
Jurnal Rekayasa Elektrika Vol 19, No 3 (2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v19i3.33147

Abstract

Floods that come all of a sudden cause many people to be unable to prepare themselves to deal with it, so material losses to health problems cannot be avoided. Therefore, a system is needed to provide early warning to the public before a flood occurs. As technology develops, water levels in an area can be monitored to anticipate flooding using the Internet of Things (IoT). IoT can help to monitor and warn of floods in real-time and continuously. In this research, the system will be placed in areas that often cause flooding. Monitoring results from sensor readings will be stored in the cloud database. The water level category is divided into 4 levels, namely “Safe”, “Standby”, “Careful”, and “Danger”. The system uses IoT and a database to send water level status to users as notifications on applications. The buzzer will sound as a warning sign when the water level enters the “Danger” status. The system test results show that the sensor has a very good level of accuracy with an error percentage of 0.242131%, and IoT connectivity can reach a distance of up to 20 meters.  
Sistem Pemantauan Posisi Bayi Menggunakan Internet of Things Aldrivo Muhamad Supit Enoch; Dien Rahmawati; Wahmisari Priharti
eProceedings of Engineering Vol 10, No 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Menjaga bayi merupakan salah satu tugas wajib orang tua agar bayi aman dan nyaman. Pesatnya perkembangan teknologi pada zaman sekarang memungkinkan pengimplementasian untuk menjawab permasalahan bagi orang tua yang tidak dapat menjaga bayinya secara langsung terus menerus. Pada penelitian ini penulis merancang suatu sistem yang dapat membantu para orang tua untuk menjaga bayi mereka agar terpantau dan terjaga. Sistem pemantauan bayi merupakan suatu sistem yang menggunakan object detection untuk mendeteksi pergerakan sang bayi dtambah adanya klasifikasi posisi bayi (tidur, tengkurap, miring kanan atau kiri, dan Ketika bayi tertutupi sesuatu) dengan Teknik YOLO serta system dapat memberkan informasi ke ponsel pengguna dengan menggunakan metode internet of things. Tujuan dari penelitian ini adalah membuat alat sistem pematauan posisi bayi menggunakan internet of things agar dapat membantu para orang tua untuk menjaga bayinya. System ini dapat memantau posisi bayi dengan akurasi terendah 80% dan tertinggi 100% dengan menggunakan model deteksi objek TinyYOLOv3. Hasil pengujian system ini dapat mendeteksi posisi bayi sesuai class (sleeping, side-sleeping, obstacle, dan on his stomach) dan hasil keluaran deteksi tersimpan di Firebase sehingga deteksi dapat terhubung ke ponsel pengguna sebagai notifikasi. Hasil akurasi terbaik terdapat di resolusi 416x416 dan hasil FPS terbaik berada di 2.1 FPS di resolusi 96x96.Kata kunci— Sistem pemantauan bayi, object detection, internet of things, machine learning, yolo, firebase.
Designing a Spreadsheet-Based Reverse Vending Machine (RVM) Database Using Arduino Mega 2560 and NodeMCU with App Script Integration Nerissa Arviana Putri; Arniel Ahmad Rivai; Rifki Athaya; Mohamad Ramdhani; Dien Rahmawati
Jurnal Serambi Engineering Vol. 9 No. 3 (2024): Juli 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

This research discusses the database design for a spreadsheet based payment system using Arduino Mega 2560 and NodeMCU ESP8266 with the help of an app script on a Reverse Vending Machine (RVM) with non-cash rewards. The payment process on the RVM requires admin assistance, so a platform is needed to store data, including the user's mobile phone number and the rewards the user has received. The database allows administrators to check this data to process reward payments to users. Spreadsheet is the platform the author chose for the database because it is easy to use and flexible. Designing a spreadsheet as a database using serial communication between Arduino Mega 2560 and NodeMCU ESP8266. Apart from this, the design also requires the help of the App Script feature to store the user's mobile phone number data and rewards received in a spreadsheet. The design results show that this database is effective and efficient in connecting the RVM with a spreadsheet to store data, thereby reducing the administrative workload in the payment process from the RVM
Pengembangan Purwarupa Sistem Monitoring dan Proteksi Logam Menggunakan Metode Sacrificial Anode Cathodic Protection Berbasis Internet of Things (IoT) Raihan, Rafi Ferdiansyah; Bakti, Reza Kelana; Ulyana, Sekhah; Rahmawati, Dien; Budiman, Faisal
Jurnal Teknologi Vol. 11 No. 1 (2023): JURNAL TEKNOLOGI
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/jtek.v11i1.275

Abstract

AbstrakLogam adalah unsur yang sering digunakan pada industri maupun pada bidang konstruksi terutama logam besi. Namun, logam besi juga dapat mengalami korosi dan oksidasi ketika terkontaminasi oleh lingkungan yang mengandung oksigen.  Oleh karena itu, diperlukan sistem monitoring dan proteksi korosi yang efektif untuk mencegah kerusakan pada logam besi. Metode yang digunakan untuk proteksi korosi pada logam adalah dengan Cathodic Protection. Cathodic Protection terdiri dari Impressed Current Cathodic Protection (ICCP) dan Sacrificial Anode Cathodic Protection (SACP). Metode ICCP melibatkan penggunaan arus listrik untuk mencegah korosi pada logam besi, sedangkan metode SACP melibatkan penggunaan logam yang lebih reaktif untuk melindungi logam besi dari korosi. Pada penelitian ini menggunakan metode SACP. Sistem ini terintegrasi IoT karena memiliki modul Wi-Fi. Data pengukuran berupa nilai tegangan pada logam dikirimkan ke platform ThingSpeak sehingga monitoring dapat dilakukan pada LCD, website, dan aplikasi android. Hasil penelitian yang telah dilakukan ini berhasil memproteksi logam besi yang terlindungi anoda dari logam zinc. Nilai tegangan logam besi terproteksi sebesar 1,04V pada air tawar. Diharapkan sistem ini dapat memberikan perlindungan yang efektif terhadap korosi pada logam besi. Kata kunci : Corrosion, ICCP, IoT, Iron, SACP
Sequential Detection under Correlated Observations using Recursive Method Suratman, Fiky Yosef; Istiqomah, Istiqomah; Rahmawati, Dien
Jurnal Teknik Elektro Vol 15, No 2 (2023): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v15i2.46941

Abstract

Sequential analysis has been used in many cases when the decision is required to be made quickly, such as for signal detection in statistical signal processing, namely sequential detector. For identical error probabilities, a sequential detector needs a smaller average sample number (ASN) than its counterpart of a fixed sample number quadrature detector based on Neyman-Pearson criteria. The optimum sequential detector was derived based on the assumption that the observations are uncorrelated (independent). However, the assumption is commonly violated in realistic scenario, such as in radar. Using a sequential detector under correlated observations is sub-optimal and it poses a problem. It demands a high computational complexity since it needs to recalculate the inverse and the determinant of the signal covariance matrix for each new sample taken. This paper presents a technique for reducing computational complexity, which involves using recursive matrix inverse to calculate conditional probability density functions (pdf). This eliminates the need to recalculate the inverse and determinant, leading to a more reasonable solution in real-world scenarios. We evaluate the performance of the proposed (recursive) sequential detector using Monte-Carlo simulations and we use the conventional and non-recursive sequential detectors for comparisons. The results show that the recursive sequential detector has equal probabilities of false alarm and miss-detection with the conventional sequential detector and performs better than the non-recursive sequential detector. In terms of ASN, it maintains results comparable to those of the two conventional detectors. The recursive approach has reduced the computational complexity for matrix multiplication to O(n2) from O(n3) and has rendered the calculation of matrix determinants unnecessary. Therefore, by having a better probability of error and reduced computational complexities under correlated observations, the proposed recursive sequential detector may become a viable alternative to obtain a more agile detection system as required in future applications, such as radar and cognitive radio.
TTGO LORA ESP32: SOLUSI NIRKABEL UNTUK PROTOTIPE PENGENDALIAN PENGINJEKSI ARUS PADA METODE GEOLISTRIK Nurpadillah, Sifa; Susanto, Kusnahadi; Mukhtar, Husneni; Cahyadi, Willy Anugrah; Ikhsan, Akhmad Fauzi; Nurdin, Agung Ihwan; Razzak, Taufiq Abdul; Rahmawati, Dien
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6864

Abstract

Rock resistivity properties obtained using the geo-electric method are used to estimate subsurface soil structures and rock types in geophysical exploration. The data collection process using this geoelectrical method is often carried out in remote areas by installing current electrodes (AB) and potential electrodes (MN) up to 1.5 km away. The success of exploration is highly dependent on the current injection source used. The greater the current used, the deeper exploration that can be carried out. However, the required distance between AB and MN electrodes is getting further and the ABMN electrodes are connected by a cable. This causes the process of collecting data at further distances of electrodes to become more complex. This study discusses a current source prototype for geo-electric methods that can communicate wirelessly with TTGO LoRa ESP32 as a controller. This prototype provides three injection power options: full, medium, and low. Current injection is carried out on a dummy resistor, which acts as earth. When injecting current into the dummy resistor, current measurements obtained using the INA219 sensor gave very consistent measurement results because it had a relative error of < 1% (on 50 ? and 300 ? dummy resistors). When measuring a current of 0.0066 A, the relative error increases to 1.5%. But it still shows good consistency in the INA219 measurement results. In addition, the MAPE for all measurements is within < 10%, which means that the INA219 readings provide excellent results. Key Words: current injector, geo-electrical, INA219, voltage divider, TTGO LoRa.
Pengoptimalan Potensi Wisata di Desa Laksana Melalui Pelatihan Pembuatan Paket Wisata Priharti, Wahmisari; Rahmawati, Dien; Rizal, Achmad; Aziz, Burhanuddin
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.1938

Abstract

Desa Laksana telah dinobatkan menjadi salah satu desa wisata di Kabupaten Bandung sejak 2011. Akan tetapi, hingga saat ini, geliatnya sebagai desa wisata belum terlalu ketara meskipun memiliki potensi wisata yang memadai. Salah satu kendalanya adalah kurangnya organisasi serta pemasaran yang baik terkait informasi mengenai objek wisata yang ada di desa ini. Untuk mengatasi permasalahan ini, tim dosen Telkom University mengadakan suatu pelatihan terkait pembuatan paket wisata yang dibungkus sebagai kegiatan pengabdian masyarakat. Pada pelatihan ini, disampaikan kepentingan membuat paket wisata, komponen, strategi serta best practice yang diperlukan untuk menghasilkan paket wisata. Berdasarkan survey dari pelatihan ini, peserta sangat antusias dan berharap kegiatan serupa dapat dilanjutkan dan ditambah durasinya. Selain itu, pada pelatihan ini juga disosialisasikan aplikasi wisata yang dapat digunakan untuk mempromosikan paket wisata ini. Diharapkan dari kegiatan ini, akan muncul paket-paket wisata yang dapat menarik lebih banyak wisatawan dan secara tidak langsung meningkatkan ekonomi masyarakat Desa Laksana.
E-Growth Monitoring System (EGMS) sebagai Upaya Penurunan Prevalensi Stunting MUKHTAR, HUSNENI; SUSANTI, HESTY; CAHYADI, WILLY ANUGRAH; RAHMAWATI, DIEN; MUTTAQIEN, TEUKU ZULKARNAIN; SUDIYONO, OOY ARIE; SUSANTO, KUSNAHADI; SETIYADI, SUTO; GERALDI, ARIK; PUJIRAHARJO, YOGA; SARI, SHEIZI PRISTA; SARI, EKA AFRIMA; YUDIARTI, DIENA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 4: Published October 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i4.903

Abstract

ABSTRAKPemerintah Indonesia melalui Stranas Percepatan Pencegahan Anak Kerdil (stunting) 2018-2024 memprioritaskan pencegahan dan penurunan prevalensi stunting dengan menyasar berbagai penyebab langsung dan tidak langsung yang memerlukan kerjasama dan koordinasi lintas sektor di seluruh tingkatan pemerintah, swasta, dunia usaha dan masyarakat, terutama di Posyandu. EGrowth Monitoring System (EGMS) yang dirancang ini berfungsi untuk mengukur tumbuh kembang bayi dan balita, terutama mendeteksi terjadinya stunting dan gizi buruk sejak dini agar dapat dilakukan upaya perbaikan secara tepat. Implementasi produk inovasi ini menggunakan sensor ultrasonik dan load cell untuk mengukur tinggi badan dan berat badan bayi dan balita, di mana rentang error pembacaan sensor-sensor tersebut secara berturut-turut adalah 0,01 – 4,36% dan 0,00 – 1,43%.Kata kunci: stunting, e-growth monitoring system, berat badan, tinggi badan, posyandu ABSTRACTIndonesian government, through National Strategy for Preventing Child Stunting 2018-2024, prioritize both prevention and reduction of stunting prevalence by targeting the causes. It requires inter-sector coordinations between government, private companies, businesses, and citizens, especially in local clinics. E-Growth Monitoring System (EGMS) is proposed to measure the growth of infant and toddler, specifically to detect a possible stunting and bad nutrition as early as possible in order to devise an improvement effectively. The implementation of this innovation employs the use of both ultrasonic sensor and load cell to measure the body height and weight of infant and toddler. Its expected margin of error for the sensors are 0.01 – 4.36% and 0.00 – 1.43% for ultrasonic sensor and load cell, respectively.Keywords: stunting, e-growth monitoring system, weight, height, posyandu
Integrasi Digital Marketing dan Community-Based Tourism dalam Pengembangan Agrowisata di Desa Warjabakti Kabupaten Bandung Susanti, Hesty; Rahmawati, Dien; Mukhtar, Husneni; Wibowo, Suryo Adhi; Priharti, Wahmisari; Cahyadi, Willy Anugrah; Nugroho, Bambang Setia; Aziz, Burhanuddin; Susanto, Kusnahadi
SWAGATI : Journal of Community Service Vol. 2 No. 2 (2024): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2024v2i2.1095

Abstract

Warjabakti Village has various agro-tourism potentials that have not been managed properly, namely in the form of a charming natural scenery, natural conditions that are still maintained, and cool air. The problems faced are the need for more exposure to technology, the unavailability of supporting facilities and infrastructure, and the absence of groups capable of coordinating these potentials. This community service aims to develop a community-based tourism system by integrating digital marketing technology to empower target communities. The results achieved from this community service activity are the formation of Pokdarwis, which have been legally approved by the village government and will oversee the management of the tourism village in Warjabakti Village with governance that the team and partners have made. In addition, the e-digital map and the Haruman Tourism Village website have been produced. This website contains village content and branding that displays attractive village information, videos, and animations that have been structured and integrated, as well as a complete and attractive e-digital map of tourist areas.
Co-Authors Achmad Rizal Achmad Rizal Agung Surya Wibowo Agung Suryo Wibowo Agus Harjoko Ahmad Akbar Khatami Ahmad Alfi Adz Dzikri Aisha Medina Arafat Aldrivo Muhamad Supit Enoch Arniel Ahmad Rivai Aziz, Burhanuddin Bakti, Reza Kelana Bambang Setia Nugroho Burhanuddin Aziz Deddy Surya Triatmaja Desri Kristina Silalahi Diena Yudiarti Ega Elfira Eka Afrima Sari, Eka Afrima Faisal Budiman Fajra Octrina Faris Fadhlur Rachman Fiky Y. Suratman Firdaus, Agni Gde Ilham Romadhony GERALDI, ARIK Hafidh Al Asad Hesty Susanti Husneni Mukhtar Ikbal, Ikhsanul Ikhsan, Akhmad Fauzi Ilham Nadiyansyah Firdaus Ilham, Adam Abiyyu IRSYADI, FAKIH istiqomah istiqomah Jatmiko Kuntoro Nugroho Kristiawan, Handika Yulma Kusnahadi Susanto Ledya Novamizanti Mohamad Ramdhani Muhammad Arik Geraldy Fauzi Muhammad Farid Chuzairi Muhammad Rayhan Ghifari Muhammad Thoriq Arkaan Susila Muhammad Zakiyullah Romdlony Nerissa Arviana Putri Nurdin, Agung Ihwan Raden Sumiharto Raihan, Rafi Ferdiansyah Ramdhani, Mohammad Razzak, Taufiq Abdul Rifki Athaya Ruri Octari Dinata Sadewo , Lea Defo Sheizi Prista Sari Sifa Nurpadillah SUDIYONO, OOY ARIE Suryo Adhi Wibowo Suto Setiyadi Teuku Zulkarnain Muttaqien Ulyana, Sekhah Wahmisari Priharti Wahmisari, Wahmisari Willy Anugrah Cahyadi Yoga Pujiraharjo