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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications EMITTER International Journal of Engineering Technology Informatics for Educators and Professional : Journal of Informatics INOVTEK Polbeng - Seri Informatika Technomedia Journal Jurnal Teknologi Terapan Indonesian Community Journal Jurnal Rekayasa elektrika El-Mujtama: Jurnal Pengabdian Masyarakat INOVTEK Polbeng - Seri Informatika Journal of Advanced Vocational Information and Communication Technology (JAVICT)
M Udin Harun Al Rasyid, M Udin Harun
Politeknik Elektronika Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Partition-Based GTS Adjustment for Wireless Sensor Networks M. Udin Harun Al Rasyid; Bih Hwang Lee; Amang Sudarsono
Journal of ICT Research and Applications Vol. 9 No. 2 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.2.4

Abstract

The personal area network (PAN) coordinator can assign a guaranteed time slot (GTS) to allocate a particular duration for requested devices in IEEE 802.15.4 beacon-enabled mode. The main challenge in the GTS mechanism is how to let the PAN coordinator allocate time slot duration for the devices which request a GTS. If the allocated devices use the GTS partially or the traffic pattern is not suitable, wasted bandwidth will increase, which degrades the performance of the network. In order to overcome the abovementioned problem, this paper proposes the Partitioned GTS Allocation Scheme (PEGAS) for IEEE 802.15.4 networks. PEGAS aims to decide the precise moment for the starting time, the end, and the length of the GTS allocation for requested devices taking into account the values of the superframe order, superframe duration, data packet length, and arrival data packet rate. Our simulation results showed that the proposed mechanism outperforms the IEEE 802.15.4 standard in terms of the total number of transmitted packets, throughput, energy efficiency, latency, bandwidth utilization, and contention access period (CAP) length ratio.
SISTEM PEMANTAUAN DAN KONTROL OTOMATIS KUALITAS AIR BERBASIS INTERNET OF THINGS (IOT) MENGGUNAKAN PLATFORM NODE-RED UNTUK BUDIDAYA UDANG Ahmad Rifa'i; M Udin Harun Al Rasyid; Agus Indra Gunawan
Jurnal Teknologi Terapan Vol 7, No 1 (2021): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v7i1.317

Abstract

Water quality in shrimp farming is an important factor that needs attention. Therefore good water quality becomes a measure of the success rate of shrimp cultivation. The main problem is the poor quality of water during the maintenance period. To overcome this problem, this paper proposes to use an Internet of things (IoT) device that can monitor water quality conditions and take preventive measures in the form of early notification and automatic control of each actuator in the cultivation pond. Some of the sensors used are Dissolved Oxygen (DO), Hydrogen Potential (pH), Turbidity, Water temperature and water level (ultrasonic sensor). Furthermore, water quality data will be sent to the server (Node-Red Platform) using the MQTT (Message Queue Telemetry Transport) protocol communication. Data processing carried out on the server uses the IFTTT (If This Then That) method and produces a decision in the form of a command (command set) to control the actuator on the actuator control node. From the performance test results, the delay occurs in sending data from the publisher to the subscriber is an average of 260 ms using the public HIVEMQ Broker. Whereas in automatic control testing, the response graph shows the action taken by the actuator control device after getting the command set generated by the IFTTT method on the Node-Red platform.
Implementasi Algoritma Clustering untuk Efisiensi Energi di Wireless Sensor Network Dona Wahyudi; M. Udin Harun Al Rasyid; Iwan Syarif
Jurnal Inovtek Polbeng Seri Informatika Vol 4, No 2 (2019)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1193.678 KB) | DOI: 10.35314/isi.v4i2.1059

Abstract

Energy efficiency is a major challenge in implementing WSN, and the use of routing and clustering protocols are several ways that can maximize energy use. Energy efficiency is needed because WSN has limited energy resources from the battery and its placement in an area that is not always monitored making battery replacement difficult or cannot be done. This study uses AOMDV (Ad hoc On-demand Multipath Distance Vector) to provide a delivery path from source to destination. In addition, the arrangement of a balanced number of cluster members is done for each cluster. From the results of the experiment, it was found that by regulating the number of balanced cluster members has better energy efficiency results.
Optimasi Efisiensi Energi untuk Pemilihan Intermediate Cluster Head menggunakan MI-C LEACH: Multi-hop Inter-Cluster pada Jaringan Sensor Nirkabel Aidil Saputra Kirsan; M. Udin Harun Al Rasyid; Iwan Syarif
Jurnal Inovtek Polbeng Seri Informatika Vol 5, No 1 (2020)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.169 KB) | DOI: 10.35314/isi.v5i1.1232

Abstract

Perbincangan hangat para peneliti pada jaringan sensor nirkabel masih kompleksitas pada penggunaan energi disetiap node. Hal ini dikarenakan kebutuhan informasi meningkat yang mempengaruhi perkembangan teknologi semakin meningkat pula. Sehingga, pertukaran informasi secara terus menerus menyebabkan penurunan masa hidup node. Solusi untuk permasalahan tersebut adalah menggunakan routing protocol seperti Low Energy Adaptive Clustering Hierarchy (LEACH). Protokol LEACH bekerja dengan melakukan pengelompokan node dan memilih kepala kluster (CH) yang bertugas untuk mengirimkan data ke Sink Node (SN). Salah satu kelemahan protokol LEACH adalah CH yang jauh dari SN dimana memerlukan energi banyak untuk pengiriman data ke SN. Salah satu cara untuk mengurangi konsumsi energi tiap CH jauh adalah dengan menggunakan komunikasi multi-hop. Pada makalah ini, kami mengusulkan Multi-hop Inter-Cluster LEACH (MI-C LEACH) dengan algoritma pengembangan dari protokol LEACH. Hasil simulasi menggunakan OMNeT++ menunjukkan bahwa jumlah node 100 pada rata-rata energi tersisa dari MI-C LEACH jauh lebih banyak dari LEACH dengan perbedaan rata-rata 27.082 watt. Tetapi pada jumlah node 200, MI-C LEACH tidak berbeda jauh energi yang tersisa dari LEACH untuk setiap jumlah putaran 100 hingga 600.
Implementasi dan Analisis Protokol Komunikasi IoT untuk Crowdsensing pada Bidang Kesehatan Ata Amrullah; M. Udin Harun Al Rasyid; Idris Winarno
Jurnal Inovtek Polbeng Seri Informatika Vol 7, No 1 (2022)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v7i1.2365

Abstract

Perkembangan teknologi informasi dan komunikasi telah menandai berlangsungnya era revolusi industri 4.0. Kemudahan pertukaran data antar perangkat yang bergerak menjadikan paradigma baru pada pengumpulan data terpusat yang disebut crowdsensing. Pada bidang kesehatan, crowdsensing tidak lagi mengandalkan telepon bergerak sebagai perangkat pengumpul informasi karena keterbatasan sensor tertanam pada telepon. Berbagai penelitian menggunakan crowdsensing telah mengandalkan kemampuan dari perangkat Internet of Things (IoT). Crowdsensing pada sektor kesehatan dapat membantu mengumpulkan sumber data yang substansial tentang kondisi kesehatan masyarakat secara umum. Namun, kebanyakan teknik crowdsensing hanya mengandalkan satu protokol komunikasi. Metode ini dapat menyebabkan masalah jika perangkat IoT menggunakan protokol komunikasi yang beragam. Oleh sebab itu, kami mengusulkan arsitektur gateway protokol multi-komunikasi untuk crowdsensing. Ketiga protokol komunikasi yang dijalankan pada gateway adalah MQTT, HTTP dan CoAP. Gateway ini berfungsi untuk menangkap data dari crowdsensor dan mengubah ketiga protokol ke dalam protokol yang sama dengan back-end server di cloud. Hasil pengujian menunjukkan bahwa gateway mampu menerima data dengan baik meskipun ketiga protokol dijalankan secara bersamaan. Protokol CoAP memiliki kinerja yang lebih baik daripada kedua protokol dalam pengujian throughput. Protokol MQTT memiliki performa terbaik pada pengukuran delay.
Deteksi Kebocoran Pipa Air Menggunakan Machine Learning dengan Jaringan Nirkabel IEEE 802.15.4 Kurniawan Saputra; M. Udin Harun Al Rasyid; Muh. Zen Samsono Hadi
Jurnal Inovtek Polbeng Seri Informatika Vol 7, No 1 (2022)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v7i1.2360

Abstract

Pipa adalah cara paling ekonomis dan paling aman dalam mendistribusikan hasil produk seperti air, petrokimia, gas, dan cairan lainnya. Terlepas dari manfaat tersebut, ternyata pipa memiliki ancaman yaitu potensi kebocoran. Artikel ini membahas pendeteksian kebocoran pipa air menggunakan parameter debit aliran. Pengujian dilakukan pada dua format dataset, menggunakan raw dataset dan process dataset menggunakan metode volume balance. Pada proses pembelajaran ada beberapa hal yang perlu disoroti seperti pemilihan tipe dataset, pre-processing dengan menormalisasi dataset, dan menerapkan metode fungsi kernel untuk meningkatkan kinerja akurasi prediksi ukuran dan lokasi kebocoran pipa. Dataset dilatih menggunakan algortima SVM untuk mengklasifikasikan ukuran dan lokasi kebocoran pipa. Hasil klasfikasi ukuran kebocoran dengan fungsi kernel polynomial pada raw dataset mencapai akurasi sebesar 98,25%, recall 99,1%, presisi 99,8%, dan F-measure 99,5%. Sedangkan fungsi kernel Radial Basis Function pada process dataset mencapai akurasi tertinggi sebesar 89,7%, recall 94,4%, presisi 95,4%,  dan F-measure 94,6%. Dalam hal mengidentifkasikan lokasi kebocoran, fungsi kernel polynomial pada raw dataset meningkatkan akurasi sebesar 88,96%, recall 94,7%, presisi 91,5%, dan F-measure 92,8%. Sedangkan fungsi kernel polynomial pada process dataset mencapai akurasi sebesar 74,42%, recall 74,1%, presisi 72,8%, dan F-measure 71,3%.
Handling Missing Value dengan Pendekatan Regresi pada Dataset Akuakultur Berukuran Kecil Ricky Afiful Maula; Agus Indra Gunawan; Bima Sena Bayu Dewantara; M. Udin Harun Al Rasyid; Setiawardhana Setiawardhana; Ferry Astika Saputra; Junaedi Ispianto
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (859.749 KB) | DOI: 10.17529/jre.v18i3.25903

Abstract

Shrimp cultivation is strongly influenced by pond water quality conditions. Farmers must know the appropriate action in regulating water quality that is suitable for shrimp survival. The state of water quality can be understood by measuring pond parameters using various sensors. Installing sensors equipped with artificial intelligence modules to inform water quality conditions is the right action. However, the sensor cannot be separated from errors, so it results in not being able to get data or missing data. In this case, the approach of 5 parameters of pond water quality from 13 available parameters is carried out. This paper proposes a technique to obtain lost data caused by sensor error and looks for the best model. A simple approach can be taken, such as the Handling Missing Value (HMV), which is commonly used, namely the mean, with the K-Nearest Neighbors (KNN) classifier optimized using a grid search. However, the accuracy of this technique is still low, reaching 0.739 at 20-fold cross-validation. Calculations were carried out with other methods to further improve the prediction accuracy. It was found that Linear Regression (LR) can increase accuracy up to 0.757, which outperforms different approaches such as the statistical approach to mean 0.739, mode 0.716, median 0.734, and regression approach KNN 0.742, Lasso 0.751, Passive Aggressive Regressor (PAR) 0.737, Support Vector Regression (SVR) 0.739, Kernel Ridge (KR) 0.731, and Stochastic Gradient Descent (SGD) 0.734.
Handling Missing Value dengan Pendekatan Regresi pada Dataset Akuakultur Berukuran Kecil Ricky Afiful Maula; Agus Indra Gunawan; Bima Sena Bayu Dewantara; M. Udin Harun Al Rasyid; Setiawardhana Setiawardhana; Ferry Astika Saputra; Junaedi Ispianto
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i3.25903

Abstract

Shrimp cultivation is strongly influenced by pond water quality conditions. Farmers must know the appropriate action in regulating water quality that is suitable for shrimp survival. The state of water quality can be understood by measuring pond parameters using various sensors. Installing sensors equipped with artificial intelligence modules to inform water quality conditions is the right action. However, the sensor cannot be separated from errors, so it results in not being able to get data or missing data. In this case, the approach of 5 parameters of pond water quality from 13 available parameters is carried out. This paper proposes a technique to obtain lost data caused by sensor error and looks for the best model. A simple approach can be taken, such as the Handling Missing Value (HMV), which is commonly used, namely the mean, with the K-Nearest Neighbors (KNN) classifier optimized using a grid search. However, the accuracy of this technique is still low, reaching 0.739 at 20-fold cross-validation. Calculations were carried out with other methods to further improve the prediction accuracy. It was found that Linear Regression (LR) can increase accuracy up to 0.757, which outperforms different approaches such as the statistical approach to mean 0.739, mode 0.716, median 0.734, and regression approach KNN 0.742, Lasso 0.751, Passive Aggressive Regressor (PAR) 0.737, Support Vector Regression (SVR) 0.739, Kernel Ridge (KR) 0.731, and Stochastic Gradient Descent (SGD) 0.734.
Analisis Sentimen Temporal Tentang Kuliner Di Kota Surabaya Berbasis Gender Menggunakan Bahasa Indonesia Asmara, Rengga; Basuki, Achmad; Al Rasyid, Muhammad Udin Harun
Technomedia Journal Vol 5 No 1 Agustus (2020): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.922 KB) | DOI: 10.33050/tmj.v5i1.1260

Abstract

Surabaya is the capital city of East Java Province, Indonesia, and the largest metropolitan city in the province. Surabaya is the largest city in Indonesia after Jakarta. With its large area and a fairly dense population, the city of Surabaya has a variety of culinary to offer. This culinary diversity attracts responses and opinions from the public (both positive and negative). People have certain ways to express their opinions, including through social media. Opinions shared by the Indonesians about Surabaya’s culinary in social media provide the right step to know what people think about the culinary places in Surabaya. But these opinions are very diverse because social media does not decide what people will say. We need opinion analysis to gain uses information from those opinions. In this research, we offered a new approach in analyzing the opinion on the culinary places in Surabaya using temporal analysis based opinion mining. The source is the opinions expressed in Foursquare using Indonesian. The rate of the accuracy is still around 67.32%, because other than Indonesian as the formal language used in the express opinions, social media users there also use many local dialects and slangs.
Sistem Akuaponik untuk Peternakan Lele dan Tanaman Kangkung Hidroponik Berbasis IoT dan Sistem Inferensi Fuzzy Rozie, Fachrul; Syarif, Iwan; Al Rasyid, Muhammad Udin Harun; Satriyanto, Edi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0814025

Abstract

Akuaponik adalah penggabungan sistem budidaya akuakultur dan hidroponik yang dapat menjadi solusi untuk mengatasi keterbatasan lahan, keterbatasan sumber air serta meningkatkan ketahanan pangan. Pada sistem akuaponik, kualitas air pada budidaya ikan merupakan salah satu syarat utama dalam keberhasilan proses budidaya. Penelitian ini mengkombinasikan peternakan lele dengan penanaman kangkung hidroponik. Kotoran ikan lele dan sisa makanan terakumulasi di air dan dapat menjadi racun bagi ikan lele karena mengandung kadar anomia yang tinggi sehingga sangat berbahaya jika tidak dibuang. Air ini kemudian dialirkan ke tanaman kangkung hidroponik melalui biofilter yang bermanfaat sebagai pengurai air kotor dari kolam menjadi nitrat dan nitrit yang berguna sebagai nutrisi tanaman. Selanjutnya setelah air menjadi bersih dan mempunyai kadar oksigen yang tinggi, air tersebut dialirkan kembali ke kolam ikan lele. Penelitian ini bertujuan untuk mengembangkan sistem cerdas pada budidaya akuaponik dengan memanfaatkan teknologi Internet of Things yang dilengkapi dengan beberapa jenis sensor untuk memantau dan mengendalikan kualitas air dengan menerapkan algoritma Sistem Inferensi Fuzzy / Fuzzy Inference System (FIS) untuk mengatur kecepatan sirkulasi air kolam agar menghemat daya listrik pada pompa. Peralatan ini juga dilengkapi dengan layanan pemberian pakan ikan secara otomatis yang dapat diprogram sesuai kebutuhan. Sistem akuaponik ini dapat dipantau melalui web maupun ponsel pintar berbasis android. Pengujian yang dilakukan terhadap perbandingan keputusan oleh pakar dan sistem FIS pada kecepatan sirkulasi air sistem akuaponik menunjukkan nilai akurasi 83,33%, dan hasil dari pengujian ketepatan alat pemberi pakan yang dibuat secara otomatis terhadap ketepatan pemberian pakan secara manual memiliki nilai akurasi 90,97%. AbstractAquaponics is a combination of aquaculture and hydroponic cultivation systems that can be a solution to overcoming limited land, limited water sources and increasing food security. In the aquaponics system, water quality in fish farming is one of the main requirements in the success of the cultivation process. This research combines catfish farming with hydroponic kale cultivation. Catfish feces and food scraps accumulate in water and can be toxic to catfish because they contain high levels of anomia so it is very dangerous if not disposed of. This water is then flowed to hydroponic kale plants through a biofilter which is useful as decomposing dirty water from the pond into nitrates and nitrites which are useful as plant nutrients. Furthermore, after the water becomes clean and has high oxygen levels, the water is flowed back into the catfish pond. This study aims to develop a smart system in aquaponic cultivation by utilizing Internet of Things technology which is equipped with several types of sensors to monitor and control water quality by applying the Fuzzy Inference System (FIS) algorithm to regulate the speed of pool water circulation in order to save electric power on the pump. This equipment is also equipped with an automatic fish feeding service which can be programmed as needed. This aquaponics system can be monitored via the web or an Android-based smart phone. Tests carried out on the comparison of decisions by experts and the FIS system on the water circulation speed of the aquaponics system show an accuracy value of 83.33%, and the results of testing the accuracy of the feeder that is made automatically against the accuracy of manual feeding have an accuracy value of 90.97% .
Co-Authors A Wildan J Achmad Basuki Achmad Basuki Adam Ghazy Al Falah Agus Indra Gunawan Agus Indra Gunawan Agus Prasetyo Ahmad Rifa'i Ahmad Rifai Ahmad Syauqi Ahsan Ahsan, Ahmad Syauqi Aidil Saputra Kirsan Aidil Saputra Kirsan Akhmad Alimudin Al Falah, Adam Ghazy Alan Tri Arbani Hidayat Alfaqih, Wildan Maulana Akbar Alfian Fahmi, Alfian Ali Ridho Barakbah Amang Sudarsono, Amang Amma Liesvarastranta Haz Andhik Ampuh Yunanto Andi Roy Arna Fariza Ashafidz Fauzan Dianta Asmara, Rengga Asy Syaffa Khoirunnisa Ata Amrullah Aziz, Adam Shidqul Bih Hwang Lee Bima Sena Bayu Dewantara Budiarti, Rizqi Putri Nourma Darmawan, Zakha Maisat Eka Darmawan, Zakha Maisat Eka Desy Intan Permatasari Desy Intan Permatasari, Desy Intan Dian Neipa Purnamasari Dona Wahyudi Dwi Susanto Edelani, Renovita Edi Satriyanto Eka Saputra Aji, Eka Saputra Eko Prayitno Entin Martiana Kusumaningtyas Evianita Dewi Fajrianti Evianita Dewi Fajrianti Fani Firdausi Nuzula Faris Saifullah Ferry Astika Saputra Ferry Astika Saputra Fitri, Novi Aryani Gezaq Abror Grezio Arifiyan Primajaya Hendi Yanuar Setianto Herman Yuliandoko Herman Yuliandoko, Herman I Gede Puja A I Gede Puja Astawa Idris Winarno Ikawati, Yunia Ilham Achmad Al Hafidz Isbat Uzzin Nadhori Isbat Uzzin Nadhori, Isbat Uzzin iwan Syarif Jauari Akhmad Nur Hasim Junaedi Ispianto Khoirunnisa, Asy Syaffa Kindarya, Fabyan Kurniawan Saputra Kusuma, Harun Indra Kusuma, Selvia Ferdiana M. Husni Mubarrok Moh. Zikky Mufid, Mohammad Robihul Mufid, Mohammad Robihul Muh. Zen Samsono Hadi Muhaimin Toh Arlim Muhammad Agus Zainuddin Muhammad Aksa Hidayat Muhammad Iqbal Izzul Haq Muhammad Iskandar Dzulqornain Nana Ramadijanti Nana Ramadijanti, Nana Naufal Adi Satrio Nirwana Haidar Hari Nobuo Funabiki, Nobuo Nur Rosyid Mubtadai Nur Rosyid Mubtadai, Nur Rosyid Nurul Fahmi Nurul Fahmi Nusantoko, Yuliarta Rizki Primajaya, Grezio Arifiyan Qurani, Nuril Ratu Rachma Rizqina Mardhotillah Rante, Hestiasari Rendra Suprobo Aji Rengga Asmara Renovita Edelani Ricky Afiful Maula Riyadh Arridha Rizki Amalia Rizki Dwi Irianti Rizky Yuniar Hakkun Rozie, Fachrul Rusminto Tjatur Widodo Sa'adah, Umi Selvia Ferdiana Kusuma Setiawardhana Setiawardhana Setiawardhana Setiawardhana Setiawardhana Sritrusta Sukaridhoto Subono ., Subono Subono Subono Sumarsono, Irwan Tisna, Dhodit Rengga Titing Magfirah Tomy Iskandar Tri Budi Santoso Umi Sa'adah Vivien Arief Wardhany Wahyu Nur Hidayat Yasmin Nur Afifah Yeremia Ega Wahyudi Yoga Prastyo Bayu Laksono Zaky Oktavianto Wahyu