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Sistem Akusisi Data Untuk Polling Berbasis Media Sosial Dan Autentikasi User Menggunakan Recaptcha Chando Anggara Natanael Batubara; Hilal Hudan Nuha; Sidik Prabowo
eProceedings of Engineering Vol 6, No 2 (2019): Agustus 2019
Publisher : eProceedings of Engineering

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AbstrakSetiap lima tahun sekali kita melakukan pemilihan umum untuk menentukan calon pemimpin periodeselanjutnya. Mendekati hari dimana pemilu tersebut dilaksanakan, banyak lembaga survei berlomba â€“lomba menyediakan informasi mengenai pemilu. Salah satunya dengan cara membuat sistem polling. Hasilpolling yang dikeluarkan dari tiap lembaga survei pun berbeda â€“ beda dan mengklaim bahwa hasil pollingyang mereka keluarkan merupakan yang paling akurat. Oleh karena itu, sistem polling yang akurat dancepat dengan memanfaatkan media sosial sangat dibutuhkan. Pada penelitian ini, sistem polling yangdibuat berbasis media sosial twitter, dengan memanfaatkan API untuk pengambilan data peserta polling .Dalam sistem yang dibangun, proses autentikasi terdiri dari dua tahap. Pada tahap pertama, sistemmenggunakan autentikasi API media sosial untuk menyaring bot. Sedangkan, tahap kedua menggunakanreCaptcha yang merupakan sebuah program yang dapat membedakan manusia dengan program komputeratau bot. Sistem polling yang dibangun dengan menerapkan reCaptcha sebagai autentikasi user berhasilmencegah 100% akun bot untuk mengikuti polling. 70% akun bot ditangguhkan oleh media sosial (twitter)sementara sisanya diblokir oleh reCaptcha.Kata kunci : polling, media sosial, autentikasi, API, reCaptcha, bot.AbstractEvery five years, we held general elections to determine the future leaders of the next period. Approachingthe election day, many survey institutions competed to provide information related to the elections. One ofthem is by creating a polling system. The results of the polls issued by each survey institute were differentand claimed that the poll results they issued were the most accurate. Therefore, a faster polling system withhigher accuracy by utilizing social media is required. In this study, a polling system was created based onTwitter social media, using the API for polling participants' data collection. In the developed system, theauthentication process consists of two stages. In the first stage, the system utilizes social mediaauthentication API to filter out the bots. Whereas, the second stage uses reCaptcha which is a program thatcan distinguish humans from computer programs or bots. The polling system that was built by applyingreCaptcha as user authentication was able to prevent 100% bot accounts from participating the polling.70% of bot accounts were suspended by social media (twitter) while the remaining were blocked byreCaptcha.Keywords: polling, social media, authentication, API, reCaptcha, bot.

Analisis Unjuk Kerja Perfomance-oriented Congestion Control (pcc) Menggunakan Video Streaming Rezy Noerdyah Ayu Saputri; Hilal Hudan Nuha; Sidik Prabowo
eProceedings of Engineering Vol 6, No 2 (2019): Agustus 2019
Publisher : eProceedings of Engineering

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AbstrakArsitekstur Transmission Control Protocol (TCP) congestion control mengalami masalah kinerja yang tidak optimal. Sehingga membuat TCP dan berbagai variasinya mempunyai harapan kecil dalam mencapaikinerja yang tinggi. Penyebabnya adalah TCP menggunakan hardwired mapping yaitu suatu kejadian yangsudah diasumsikan dan tindakan yang harus dilakukan untuk mengatasi kejadian itu tanpa mengertikondisi dari jaringan secara nyata dan kinerja yang dihasilkan. Perfomance-oriented Congestion Control(PCC) merupakan arsitekstur congestion control baru yang membuat setiap pengirim mengamati tindakandan kinerja jaringan secara empiris, bertujuan mengambil tindakan yang menghasilkan kinerja tinggi.PCC melakukan percobaan dalam beberapa kasus, salah satu kasus yaitu video streaming. Prosespengujian video streaming mendapatkan data berupa throughput, delay dan packet loss. Data tersebutdibandingkan antara PCC dan TCP dengan tujuan untuk mengetahui hasil kinerja yang lebih baik. Hasildari pengujian dari setiap parameter yaitu throughput TCP adalah 1064,841 kbps dan PCC 150,825 kbps,delay dari TCP adalah 5,326 ms dan PCC 3,843 ms dan packet loss dari TCP adalah 0,905% dan PCC0,016%. Sehingga PCC memiliki kinerja yang baik dari parameter delay dan packet loss. Sedangkan TCPkinerjanya lebih baik dilihat dari parameter throughput.Kata kunci : delay, packet loss, PCC, TCP congestion control, throughput, video streaming AbstractTransmission Congestion Control (TCP) congestion control architecture experienced poor perfomance for several years. Itâ€™s make TCP variants has little hope for achieve high perfomance. The reason is TCP usedhardwired mapping that is the assumed occurrence and the actions that be taken to resolve the event withoutunderstand condition in real network and the result of perfomance. Perfomance-oriented CongestionControl (PCC) is new congestion control architecture in which each sender continuously observes theconnection between its actions and empiricially experience perfomance, enabling it to consitently adoptactions that result in high perfomance. PCC do the experiment in many cases, one of them is videostreaming. In the testing video streaming obtained data in the form of throughput, delay and packet loss. The data obtained compared between PCC and TCP with the purpose of finding out better perfomanceresults. The test results form each parameter TCP throughput is 1064,841 kbps and PCC 150,825 kbps,delay from TCP is 5,326 ms and PCC 3,843 ms and packet loss from TCP is 0,905% and PCC 0,016%. Withthat result PCC have better perfomance from delay and packet loss parameter. Whereas TCP performsbetter seen from throughput parameters.Keywords: delay, packet loss, PCC, TCP, congestion control, throughput, video streaming

Jaringan Relay Robot Untuk Eksplorasi Area Andika Muhammad Yofan Fathoni; Hilal Hudan Nuha
eProceedings of Engineering Vol 9, No 3 (2022): Juni 2022
Publisher : eProceedings of Engineering

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Abstrak Manusia menggunakan robot untuk mempermudah sebuah kegiatan dalam kehidupan sehari-hari. Namun, robot juga memiliki batasan yang salah satunya adalah kekuatan sinyal, terutama pada robot jaringan nirkabel yang dikendalikan. Maka dari itu robot relay dibutuhkan untuk memperkuat sinyal dari suatu robot, robot relay ini bekerja sebagai penguat sinyal yang menghubungkan robot penguat sinyal dengan robot utama supaya bisa mencapai jarak yang lebih dari batasan jarak awal. Untuk relay menggunakan NodeMCU ESP8266 dan menggunakan library painlessmesh sebagai metode untuk menghubungkan antar node-nya. Hasil yang didapat semakin banyak halangan dan semakin panjang jarak akan semakin berpengaruh pada pesan yang dikirimkan dan kekuatan sinyal yang diujikan. Salah satu pengujian sinyal yang efektif adalah pengujian pada jarak 30 meter dengan halangan menggunakan beton kekuatan sinyal menjadi rendah dan kecepatan transfer pesan menjadi sangat lambat. Kata kunci: painlessmesh, jaringan sensor nirkabel, nodemcu

Penerapan dan Pelatihan Sistem Smart Aquaculture untuk Budidaya Ikan dalam Biofloc di SEIN Farm Kota Bandung Parman Sukarno; Hilal Hudan Nuha; Novian Anggis Suwastika; Muhammad Al Makky; Dita Oktaria; Rio Guntur Utomo; Rahmat Yasirandi
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 7 No 2 (2023): Mei
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v7i2.11532

Sekemala Integrated Farm (Sein Farm) merupakan bagian dari Unit Pelaksana Teknis (UPT) Pembibitan Tanaman Pangan, Hortikultura, dan Peternakan,Â Dinas Ketahanan Pangan dan Pertanian (DKPP) Kota Bandung yang memiliki fungsi sebagai laboratorium umum (masyarakat) untuk kegiatan urban farming. Salah satu kegiatan urban farming adalah budidaya ikan dalam biofloc. Sein Farm memiliki biofloc sebanyak 55 unit untuk budidaya ikan tawar. Menjaga kualitas air dalam biofloc memiliki peran yang sangat krusial dalam keberhasilan budidaya ikan. Permasalahan yang dihadapi Sein Farm dalam budidaya ikan di biofloc adalah dengan keterbasan jumlah karyawan dalam kegiatan operasional sehari-hari untuk menjaga kualitas air. Integrasi teknologi Internet of Things (IoT) dan Artificial Intelligence (AI) memberikan solusi untuk otomatisasi kegiatan akuakultur termasuk untuk menjaga kualitas air, yang juga dikenal sebagai smart aquaculture. Dalam kegiatan pengabdian kepada masyarakat tim dari Fakultas Informatika Universitas Telkom membangun, menerapkan, melakukan alih teknologi, dan mengukur penerimaan solusi berbasis smart aquaculture kepada 16 pegawai operasional di Sein Farm. Dari hasil kegiatan tersebut, tujuan dari kegiatan masyarakat berhasil capai, yaitu berhasil membangun dan menerapkan smart aquaculture di Sein Farm, melakukan pelatihan untuk pengoperasian sistem, dan melakukan survey untuk penerimaan teknologi. Hasil dari survei menunjukkan 95% menjawab â€œsetujuâ€ dan â€œsangat setujuâ€ terhadap penerapan smart aquaculture dalam membantu kegiatan operasional untuk menjaga kualitas air dalam budidaya ikan di biofloc.

Analisis Quality of Service Modul NRF24L01 pada Sistem Stasiun Cuaca Lokal Loudry Achmad Tiransri; Favian Dewanta; Hilal Hudan Nuha
TELKA - Jurnal Telekomunikasi, Elektronika, Komputasi dan Kontrol Vol 9, No 1 (2023): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v9n1.44-51

Internet of Things sering dimanfaatkan untuk menggantikan pekerjaan manusia secara otomatis, salah satu contohnya adalah sistem stasiun cuaca lokal. Stasiun cuaca lokal sering kali digunakan untuk melakukan pengamatan dan pendeteksian cuaca di kawasan rawan bencana yang belum terjangkau oleh jaringan internet. Sehingga pembuatan sistem stasiun cuaca lokal sering menggunakan modul pengiriman data secara nirkabel sebagai hub yang menghubungkan gateway jaringan dengan perangkat yang berada jauh di lapangan. Salah satu modul pengiriman secara nirkabel tersebut adalah modul NRF24L01 yang merupakan modul Wireless Personal Area Networks (WPAN) dengan daya kecil tetapi memiliki kecepatan pengiriman data yang tinggi. Sehingga pada penelitian ini penulis mengimplementasikan modul NRF24L01 pada sistem stasiun cuaca lokal dan melakukan analisis Quality of Service (QoS) dari komunikasi tersebut. Eksperimen dilakukan dengan cara pengiriman informasi dari transmitter menuju receiver yang bergerak bebas pada jarak tertentu dan kondisi kanal tertentu yang merepresentasikan LOS dan non-LOS. Selanjutnya, perhitungan quality of service (QoS) dari komunikasi antar modul NRF24L01 tersebut dilakukan dengan menggunakan metode Best Effort Service, dengan nilai packet loss sebesar 21,67% pada jarak pengiriman efektif yang kurang dari 300 meter dan kanal yang bersifat LOS, serta nilai packet loss sebesar 4,55% pada jarak pengiriman efektif yang kurang dari 70 meter dan kanal yang bersifat non-LOS. The Internet of Things is often used to replace human work automatically; one example is a local weather station system. Local weather stations often observe and detect weather in potential disaster areas the internet network has not reached. So, creating a local weather station system often uses wireless modules as a hub that connects the network gateway with devices far in the field. One of the wireless modules is the NRF24L01 module, a Wireless Personal Area Networks (WPAN) module with a small power but high data-sending speed. So in this study, the author implements the NRF24L01 module on the local weather station system and conducts a Quality of Service (QOS) analysis of the communication. The experiment was carried out by sending information from the transmitter to the receiver that moved freely at a certain distance and certain canal conditions representing LOS and Non-LOS. Furthermore, the calculation of the Quality of Service (QOS) of communication between the NRF24L01 module is carried out using the Best Effort Service method, with a loss packet value of 21.67% at an effective transmission distance of fewer than 300 meters and a LOS channel, and packet value Loss of 4.55% at an effective transmission distance of fewer than 70 meters and a non-LOS channel.

Failover for Multiple-Controller with Failure Detection Method in Software Defined Network on Distributed Switch Decision Ryan Lingga Wicaksono; Maman Abdurohman; Hilal Hudan Nuha
eProceedings of Engineering Vol 10, No 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

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Abstract-Hardware is important for the system to be used, with the increase in a lot of hardware such as switches and connected hosts can cause a decrease in quality on the network. Systems that have more than one core device can use two scenarios namely, load balancing and failover. Software Defined network allows the separation of the control plane and the data plane in the network. Based on it, it provides scalability and centralized control. In addition, by using these properties, clustering controllers consisting of 3 controllers are also applied. The clustering controller system uses ONOS with the aim of stabilizing and improving network performance. Communication between the data plane and the control plane is necessary to detect, calculate, and insert rules that create new paths. The system used to be able to achieve connectivity is scattered everywhere. System by utilizing a centralized controller, one can anticipate one point of failure. Service interruptions due to the failure of the communication network link that occurs are unavoidable circumstances. This study proposes a failover mechanism on the controller. Moving from a failed master controller to a slave controller results in a delay time from the average of each switch connected in the failed master controller. The average delay time in each different traffic background results in a different value from each traffic background. In the background traffic of 500mb/s has an average delay time of 0.159ms, the background traffic of 750mb/s has an average delay time of 0.194ms, and background traffic of 900mb/s has an average delay time of 0.309ms. The delay time value occurs in 1 master controller failure. Different results occurred in 2 controller failures, when using a background traffic of 500mb/s, the average delay time value was 0.203ms, the background traffic was 750mb/s the average delay time was 0.265ms and the background traffic was 900mb/s, the average delay time was 0.346ms. The failure handling mechanism on the master controller is intended to overcome delay time when the backup controller takes over the tasks of the new master controller. Keywords-software defined network; failover; controller; delay time

Performance Analysis of TCP Fractional Window Increment and Adaptive Fractional Window on IEEE 802.11 Multihop Ad Hoc Networks Arnas Sofyan; Vera Suryani; Hilal Hudan Nuha
International Journal on Information and Communication Technology (IJoICT) Vol. 9 No. 1 (2023): June 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v9i1.716

TCP, a layer 4 transport protocol, plays a crucial role in both wireless and wired networks. However, its performance in wireless networks is often unsatisfactory due to issues such as bandwidth limitations and utility problems with lower network layers. The mobility effect further exacerbates TCP's performance, as it fails to distinguish between connection failure and congestion-induced connection loss. In response to this challenge, researchers have explored potential solutions and found that TCP FeW outperforms the existing TCP NewReno. Building upon this background, this paper aims to simulate and analyze the performance of TCP AFW and TCP FeW in an IEEE 802.11 network. The simulations conducted using ns2 in a limited environment with random mobile scenarios reveal that TCP AFW achieves a 1.12% higher throughput compared to FeW, even with minimal modifications.

TICKER SYMBOL IDENTIFICATION WITH CIMA ON NON-STATIONARY STOCK PRICE DATASET Aji Gautama Putrada; Maman Abdurohman; Doan Perdana; Hilal Hudan Nuha
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.5349

Ticker symbol identification based on stock price data in investor decisions has been proven to be pivotal. Though research exists on stock price forecasting, ticker symbol identification is still a research opportunity. Meanwhile, some temporal-sequential classification methods are available, such as classification-integrated moving average (CIMA) and recurrent neural network (RNN)-based deep learning such as long short-term memory (LSTM), and gated recurrent unit (GRU). Our research aim is to prove that CIMA can perform ticker symbol identification on non-stationary stock price datasets. This research collects ten most well-known stock price dataset from Kaggle and performs pre-processing. Then it designs CIMA with non-stationary data and the benchmark deep learning methods. Both methods are optimized with hyperparameter tuning and model selection between adaptive boosting (AdaBoost) and legacy k-nearest neighbors (KNN). The test results show five non-stationary features in the stock price dataset must go through a differentiation process. Then, AdaBoost has an accuracy of 0.9967 ± 0.001, while KNN has an accuracy of 0.9971 ± 0.001, with no significant difference based on t-test. Meanwhile, AdaBoost has a significantly smaller model size and testing and prediction time than KNN. In benchmarking, CIMA+AdaBoost is superior to the three other methods for accuracy, precision, recall, and f1-score, all of which have a value of 0.996. Our research contribution is ticker symbol identification based on stock price using CIMA on multiple-class sequential classification with non-stationary data. For future research, we advice to perform this method on other stock price data.

Web-Based Formaldehyde Detection System in Chickens using IOT and Fuzzy Logic Azizurahman Arafah Mufti; Siti Amatullah Karimah, S.T., M.T.; Hilal Hudan Nuha; Endang Rosdiana
International Journal on Information and Communication Technology (IJoICT) Vol. 10 No. 1 (2024): Vol. 10 No.1 June 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v10i1.885

Chicken is a widely consumed source of animal protein globally, valued for its high protein content and essential nutrients. Ensuring the freshness of chicken meat is crucial to guarantee its healthiness and prevent harm to consumers. Unfortunately, there are concerns about the use of hazardous substances like formaldehyde by some traders for meat preservation. Formalin, a clear liquid with a pungent odor, is commonly utilized as a food preservative. To address the misuse of formaldehyde in broiler chickens, an innovative solution is proposed involving IoT technology and Fuzzy Logic. The developed formaldehyde detection system employs an ESP8266 microcontroller and a TCS3200 sensor to assess color variations in chicken meat samples mixed with Schiff's reagent. The TCS3200 sensor detects color changes, and the ESP8266 Microcontroller converts measurements into RGB basic colors. Calibration of the sensor yielded a 98.30% relative accuracy at a 3 cm distance. Fuzzy Logic is then applied to determine formaldehyde levels, displayed on an LCD screen. The tool exhibits a 95% reliability for achieving a 0 ppm level, 93% for 40 ppm, 92% for 80 ppm, and 100% for 200 ppm

Web-Based Formaldehyde Detection System in Chickens using IOT and Fuzzy Logic Arafah Mufti, Azizurahman; Siti Amatullah Karimah, S.T., M.T.; Hudan Nuha, Hilal; Rosdiana, Endang
International Journal on Information and Communication Technology (IJoICT) Vol. 10 No. 1 (2024): Vol. 10 No.1 June 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v10i1.885

Chicken is a widely consumed source of animal protein globally, valued for its high protein content and essential nutrients. Ensuring the freshness of chicken meat is crucial to guarantee its healthiness and prevent harm to consumers. Unfortunately, there are concerns about the use of hazardous substances like formaldehyde by some traders for meat preservation. Formalin, a clear liquid with a pungent odor, is commonly utilized as a food preservative. To address the misuse of formaldehyde in broiler chickens, an innovative solution is proposed involving IoT technology and Fuzzy Logic. The developed formaldehyde detection system employs an ESP8266 microcontroller and a TCS3200 sensor to assess color variations in chicken meat samples mixed with Schiff's reagent. The TCS3200 sensor detects color changes, and the ESP8266 Microcontroller converts measurements into RGB basic colors. Calibration of the sensor yielded a 98.30% relative accuracy at a 3 cm distance. Fuzzy Logic is then applied to determine formaldehyde levels, displayed on an LCD screen. The tool exhibits a 95% reliability for achieving a 0 ppm level, 93% for 40 ppm, 92% for 80 ppm, and 100% for 200 ppm

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