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Fakultas Teknik Elektro, Institut Teknologi Telkom Surabaya Ketintang Str. No. 156, Surabaya, East Java 60231
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Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Published by Institut Teknologi Telkom Surabaya
ISSN : 27234371     EISSN : 27235912     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
COMPLETE (ISSN 2723-4371, E-ISSN 2723-5912) is a national open scientific journals which seeking innovation, creativity, and novelty. Either letters, research notes, articles, supplemental articles, or review articles in the field of Electrical, Computer, and Telecommunication technology. Scope of the journal include : - Technology utilization of maritime resources - Strengthening infrastructuremaritime - Technology and management safety transportation - Industrial strengthening technology transportation - Supporting infrastructure and transportation system - Operational efficiency - Electronics technology - Telecommunication technology - Computer technology - System security - Advanced robotics technology - Technology and disaster management - Advanced power electronics - Application of power system - Renewable energy - Chips technology - Smart iot devices - 5g technology and ecosystems - Technology and management environment This journal published twice a year, in July and December. Editors invite research lecturers, the reviewer, practitioners, industry, and observers to contribute to this journal. The language used in the form of Indonesian and English. The author will not be charged any fees in the publication process.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 41 Documents
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Analisis Performa Reference Signal Received Power Akibat Rugi-Rugi Propagasi Pada Frekuensi 2300 MHz Dengan Model Okumura Sandryones Palinggi; Aan Saputra
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.15

Abstract

Teknologi seluler, terutama 4G-LTE, telah berkembang ke arah yang jauh lebih canggih. Teknologi 4G-LTE merupakan kelanjutan dari teknologi sebelumnya yang disebut 3G. Dalam penelitian ini, perhitungan kekuatan sinyal kemudian digunakan untuk menghitung kerugian yang terjadi pada frekuensi 2300 MHz di sepanjang Jalan Cihampelas Bandung, yang memiliki panjang lintasan 2.7 Km. Metode penelitian yang digunakan adalah metode kuantitatif yang menggunakan data primer hasil pengukuran, kemudian membandingkannya dengan metode empiris dalam bentuk perhitungan ideal. Perhitungan di lingkungan outdoor menggunakan Model Okumura dengan mempertimbangkan topologi maupun rugi-rugi propagasi di sepanjang Jalan Cihampelas Bandung seperti Skywalk Cihampelas dan bangunan bertingkat. Hasil penelitian ini dinyatakan dalam bentuk tabel dan grafik dengan menggunakan Matlab sehingga mudah untuk menarik hasil analisis dari penelitian yang dilakukan, yang mana diketahui bahwa rugi-rugi propagasi yang terjadi mempengaruhi Reference Signal Received Power dari jaringan komunikasi seluler berbasis teknologi 4G-LTE.
Design Configuration of Water Quality Monitoring System in Surabaya: Design Configuration of Water Quality Monitoring System in Surabaya Anifatul Faricha; Dimas Adiputra; Isa Hafidz; Moch. Iskandar Riansyah; Lora Khaula Amifia; Moch. Fauzan Rasyid; Moch. Bagus Indrastata; Abdulloh Hamid Nushfi
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.43

Abstract

Water have been important needs for human life in many sectors such as in industry, agriculture, and household that its quality must be conserved so is in Surabaya city. The quality of water could influence the quality of human life directly, thus it is important to have an integrated water quality monitoring system. Information regarding water quality monitoring such as pH, dissolved oxygen, turbidity, and conductivity were collected to produce a periodic decision for controlling, analyzing, and fixing the condition of the water. This paper proposed a design configuration of water quality monitoring system for tap water in Surabaya. First, a comparison study of water quality monitoring technology in terms of area, parameter, and methodology from the previous researchers is presented. From the study, the design configuration of water quality monitoring system to be implemented in Surabaya is concluded. The data collection method is better to be done by using Internet of Things (IoT) technology where it is possible to do multiple data type and multiple point real-time data collection throughout the water distribution network remotely.
5G Vehicular Network for Smart Vehicles in Smart City: A Review Hamzah U. Mustakim
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.44

Abstract

Smart vehicles is one of the innovation that can be used to increase the effectiveness of traffic in smart city as urban area and in the highway. In its development, smart vehicles not only require mobile communication services to ensure safety but also multimedia services for the passengers. These services must be integrated on intelligent transportation system. 5G vehicular network technology provides data communication services for intelligent transportation system via macrocells and smallcells to support smart vehicles which can drive at a maximum speed of 500Km/hour with multimedia services for passengers with data rates reaching the Gbps level. This paper will review 5G network architecture and emerging technologies that enabling vehicular network for smart vehicles in smart city.
Energy Consumption Data Analysis: Indonesia Perspective Wahyu Andy Prastyabudi; Isa Hafidz
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.47

Abstract

Energy consumption has been increasing affected by many factors such as population growth, energy price, etc. This paper utilizes data analysis to examine energy consumption data and its correlation the GDP growth, particularly in case of Indonesia. The data observed in this study comprises a record from 1961-2018. An exploratory data analysis was employed to comprehend the features of the data, while beforehand a pre-processing and testing were conducted to prepare the data. Data visualization was built then a Spearman correlation rank was also performed to see the association among variables. The result shows that the energy consumption is dominated by fossil generated energy i.e. oil, coal, gas. Meanwhile, the renewable energy was started to use since early 2000 with a huge leap of consumption on solar energy. The result of correlation ranking indicates that the energy consumption and the GPD growth has no significant association as the rank value is negative and the p-value is greater than the chosen significant level. Thus, we can conclude that the higher energy consumption does not directly affect the increase in GDP.
The Comparative Study for Predicting Disease Outbreak anifatul faricha; M. Achirul Nanda; Siti Maghfirotul Ulyah; Ni'matut Tamimah; Enny Indasyah; Robin Addwiyansyah Alvaro Samrat
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.48

Abstract

To know the prediction of disease outbreak, proper predictive modeling is required to represent the dataset. This study presents the comparative predictive modeling for predicting disease outbreak using two models i.e., optimizable support vector machine (SVM) and optimizable gaussian process regression (GPR). The dataset used in this study contains three cases i.e., positive cases, recovered cases, and death cases. The dataset at each case is divided into training dataset for the training process and external validation dataset for the validation process. Based on the training process and validation process, the root mean square error (RMSE) at positive cases, recovered cases, and death cases using optimizable GPR is substantially more effective for prediction than the optimizable SVM. According to the result performance, by applying optimizable GPR, the training process has the average RMSE of 19.54 and the validation process has the average RMSE of 15.85.
Analisa Kesalahan Trajektori dan Algoritma Solusi Invers pada Robot Lengan Berdasarkan Jaringan QACA-RBF Ardiansyah Al Farouq; Presto Fani; Muhammad Yanuar Muhaimin
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.49

Abstract

Dalam rangka meningkatkan akurasi posisi dan trajektori dari robot lengan UR5, algoritma solusi invers pada robot lengan berdasarkan jaringan QACA-RBF diajukan. Desain algoritma ini menggunakan model prediksi melalui jaringan saraf dan menggunakan algoritma koloni semut kuantum untuk mengoptimalkan bobot keluarannya. Dalam memecahkan masalah ini, algoritma koloni semut kuantum memiliki presisi konvergen yang rendah dan mudah jatuh ke dalam solusi local optimal dalam algoritma solusi invers dari derajat kebebasan pada robot lengan, maka peningkatan pengukuran seperti local optimasi dan batas maksimum minimum feromon dan variasi dibutuhkan. Dengan membandingkan hasil simulasi dari hasil simulasi robot lengan UR5 dan hasil simulasi berdasarkan jaringan saraf ACA, QACA, dan RBF untuk mendapatkan posisi dan gerak trajektori pada titik ruang dengan kepresisian disetiap algoritma. Dengan skema tersebut agar dapat membuktikan kelayakan algotirma jaringan QACA-RBF.
The Investigation of Epoch Parameters in ResNet-50 Architecture for Pornographic Classification: Investigasi Parameter Epoch Pada Arsitektur ResNet-50 Untuk Klasifikasi Pornografi Faiz Nashrullah; Suryo Adhi Wibowo; Gelar Budiman
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 1 (2020): July
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i1.51

Abstract

Kemajuan teknologi informasi yang cepat dan tak terkontrol membuat berbagai konten negatif seperti pornografi dapat dengan mudah diakses. Konten pornografi terbukti dapat menyebabkan berbagai permasalahan terutama pada generasi muda. Beberapa pengembangan metode untuk pendeteksian pornografi telah dilakukan namun masih terkendala pada keterbatasan karakteristik data masukan. Pada penelitian kali ini dikembangkan sistem pendeteksi konten pornografi berbasis klasifikasi menggunakan Convolutional Neural Network (CNN) dengan arsitektur ResNet-50 untuk mengatasi permasalahan sebelumnya. Dalam proses perancangan model sistem, diterapkan berbagai konfigurasi epoch dan didapatkan bahwa performa dari sistem memiliki kecenderungan untuk meningkat seiring dengan pertambahan epoch. Performa terbaik diraih oleh sistem pada konfigurasi epoch 60 dengan akurasi 91,033%.
Estimasi Kanal Sistem OFDM pada Kanal Fading Rayleigh dengan Metode Piece-wise Linear Walid Maulana Hadiansyah
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 2 (2020): December
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i2.70

Abstract

Transmisi data kecepatan tinggi menjadi sorotan masyarakat saat ini karena semakin banyak masyarakat menggunakan teknologi nirkabel pita lebar untuk memenuhi kebutuhan sehari-hari. Long Term Evolution (LTE) masih menjadi teknologi eksisting yang memanfaatkan sistem Orthogonal Frequency Division Multiplexing (OFDM) sebagai solusi penghematan bandwidth. Untuk mempertahankan kualitas data dari distorsi, maka dibutuhkan teknik estimasi kanal. Dengan mengetahui hasil estimasi kanal, maka akan didapatkan solusi untuk meminimalisasi efek distorsi. Respon impuls diasumsikan berupa kanal fading Rayleigh. Estimasi kanal yang dipakai adalah metode estimasi Piece-wise Linear dengan 2 slope. Serangkaian penelitian yang bisa dilakukan setelah estimasi kanal adalah estimasi efek doppler, minimalisasi interferensi antar-simbol, dan efisiensi serta optimalisasi sistem. Dari hasil simulasi menggunakan program Matlab dengan 100 kali iterasi, dapat diambil kesimpulan bahwa semakin besar Signal to Noise Ratio (SNR), semakin kecil error yang terjadi. Nilai rata-rata error estimasi dari SNR=9-40 dB adalah 2.4%-38.2%.
Algoritme Particle Swarm Optimization (PSO) untuk Optimasi Perencanaan Produksi Agregat Multi-Site pada Industri Tekstil Rumahan Agung Mustika Rizki; Afina Lina Nurlaili
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 2 (2020): December
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i2.73

Abstract

In the industrial world, companies need to manage their production areas well. One way is to implement aggregate production planning. The goal is that the production costs incurred by the company can be controlled properly. However, production planning cannot be formulated quickly. The problem is more complicated if the company has several production locations. The difference in location also affects the production references and standards applied in each location. Based on these problems, the authors propose to apply the Particle Swarm Optimization (PSO) algorithm to solve the problem of aggregate production planning in order to obtain the optimal solution for each production location. As a result, the algorithm proposed by the author can produce optimal and efficient solutions for 6 production sites. This is evidenced by the relatively short time required compared to the previous planning by the company.
Analisis Kualitas Model Proses dalam Implementasi Process Mining : Literature Review Afina Lina Nurlaili; Agung Mustika Rizki
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 2 (2020): December
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i2.74

Abstract

Proses bisnis memiliki peran dalam mengatur pola kerja suatu organisasi. Kerumitan dalam membuat proses bisnis menjadi tantangan tersendiri, terutama jika pekerjaan yang dicakup relatif banyak. Process mining menjadi salah satu solusi yang paling handal dengan secara otomatis dapat menemukan model proses, menganalisis kualitas model proses hingga dapat meningkatkan kualitas model proses dari data event log yang tersimpan pada sistem informasi. Penelitian ini mengevaluasi tiga algoritma process mining, yaitu Alpha, Alpha++, dan Heuristic Miner dalam hal pembuatan model proses dan kualitasnya. Berdasarkan evaluasi yang dilakukan, algoritma Alpha, Alpha++, dan Heuristic Miner memiliki kecocokan tersendiri untuk kasusnya masing-masing.

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