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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Physics and Its Applications Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika MULTINETICS Charity : Jurnal Pengabdian Masyarakat eProceedings of Engineering Journal of Computer Engineering: Progress, Application and Technology Jurnal INFOTEL
Reza Rendian Septiawan
Telkom University
Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences

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Implementasi Sistem Rekomendasi Makanan pada Aplikasi EatAja Menggunakan Algoritma Collaborative Filtering Muhamad Naufal Syaiful Bahri; I Putu Yuda Danan Jaya; Dirgantoro, Burhanuddin; Istikmal; Ahmad, Umar Ali; Septiawan, Reza Rendian
MULTINETICS Vol. 7 No. 2 (2021): MULTINETICS Nopember (2021)
Publisher : POLITEKNIK NEGERI JAKARTA

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Abstract

EatAja is a startup company in Indonesia that provides solutions in order in ordering food at mobile app-based restaurants. The variety of menu from various restaurants will make it confusing for users to choosing. Due to this problem, restaurants would be displaying the best sellers’ menu. However, there is not solution for users who eat according to their taste. For restaurants, promoting specific menus based on users’ taste is quite challenging because of users have preferences by themselves and unavailability about that information. Since many users may have similar food preferences, recommender system is a must-have feature to be implemented in such applications that involve data from many users. In this research are using memory-based collaborative filtering method to check a similarity between users’ orders. By using real order history data from EatAja combined with generated auxiliary data to implicitly find customers’ ratings towards menu they have been ordered, the recommender system obtains Mean Absolute Error (MAE) 0.96823 with the best accuracy is 99.03%. The result of the recommendation system can be applied to the application to be able to increase sales to the restaurant as a suggested menu.
Pengembangan Sistem Pembelajaran Berbasis Komputer di Lingkungan Madrasah Aliyah Pesantren As-Suruur Sebagai Bentuk Persiapan dalam Menghadapi Ujian Nasional Berbasis Komputer (UNBK) Danang Triantoro Murdiansyah; Z. K. Abdurahman Baizal; Nurul Ikhsan; Favian Dewanta; Umar Ali Ahmad; Reza Rendian Septiawan; Ika Arum Puspita; Devi Pratami; Litasari Widyastuti Suwarsono
Charity : Jurnal Pengabdian Masyarakat Vol 4 No 1 (2021): Charity-Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v4i1.3212

Abstract

Adanya ketentuan tentang kewajiban pelaksanaan Ujian Nasional Berbasis Komputer (UNBK) dan Ujian Sekolah Berbasis Komputer (USBK) oleh pemerintah di setiap sekolah setara Sekolah Menengah Atas (SMA), menuntut adanya kesiapan dari berbagai pihak untuk dapat melaksanakan kegiatan tersebut termasuk diantaranya Madrasah Aliyah Pesantren As-Suruur. Masih minimnya keterampilan siswa dalam menggunakan media belajar berbasis komputer menjadi salah satu kendala dalam menghadapi UNBK. Ketidaksiapan siswa ini diprediksikan akan mempengaruhi performansi siswa dalam menghadapi ujian. Oleh karenanya dibutuhkan upaya untuk mempersiapkan siswa dalam menghadapi sistem ujian yang baru bagi mereka. Universitas Telkom melalui program pengabdian masyarakat, mengembangkan sistem pembelajaran berbasis komputer di lingkungan Madrasah Aliyah Pesantren As-Suruur agar para siswa semakin terbiasa dalam mengoperasikan komputer sebagai bentuk persiapan dalam menghadapi UNBK. Selain pengembangan sistem, dilakukan pelatihan bagi guru pesantren yang selanjutnya akan mengambil peran besar dalam menyiapkan siswa dalam UNBK. Pelaksanaan program dapat dikatakan berhasil dilihat dari dapat digunakannya sistem dan juga respon positif guru untuk menggunakan sistem yang ada.
The Effect of Force Ratio Multiplier on A Control System for Surfing Problem Simulation Reza Rendian Septiawan; Agus Virgono; Umar Ali Ahmad; Prayitno Abadi; Mas'ud Adhi Saputra
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5260

Abstract

A surfing problem is a control problem of the surfing board to maintain its position on top of an ocean wave as long as possible. There are some physical and mathematical problems regarding a surfing problem that have not yet been solved. One of them is on translating a target inclination problem from an ordinary differential equation (ODE) control system to the inclination control system via the distribution of a surfer’s weight. To move the surfing board swiftly, a correct value of the multiplier, which is notated by σ, is needed on the weight distribution system. In this work, an investigation has been done on the effect of the multiplier in an attempt to help moves the surfing board fulfils the target inclination angle needed by using a smoothed particle hydrodynamics (SPH) simulation. The result from this work shows that the best value for the multiplier is σ=10 that gives the smallest average positional error for some variations of a given target position. This work gives a contribution on an attempt to model a surfer’s phenomenon mathematically.
QSAR Study of Larvicidal Phytocompounds as Anti-Aedes Aegypti by using GA-SVM Method Komang Triolascarya; Reza Rendian Septiawan; Isman Kurniawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.319 KB) | DOI: 10.29207/resti.v6i4.4273

Abstract

Aedes aegypti is one of the most dangerous mosquitoes that can cause several deadly diseases, such as dengue fever, Chikungunya, Zika, and jaundice with high mortality rate. For now, no specific drug has been found that can cure the disease caused by Aedes Aegypti. One possible solution for handling this problem is to inhibit the growth and development of Aedes aegypti larvae. This study aims to implement Genetic Algorithm-Support Vector Machine to develop Quantitative Structure-Activity Relationship model for identification larvicidal phytocompounds as anti-aedes-aegypti. Hyperparameter tuning was performed to improve the performance of the models. Based on the result, we found that the best model was developed by the RBF kernel with the value of and score are 0.64 and 0.64, respectively.
QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods I Kadek Andrean Pramana Putra Pramana; Reza Rendian Septiawan; Isman Kurniawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 5 (2022): Oktober 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.931 KB) | DOI: 10.29207/resti.v6i5.4294

Abstract

Diabetes mellitus is a chronic disease that can occur in anyone. Up until now, there are no specific drugs have been found which can completely cure diabetes. One of the possible steps to treat diabetes mellitus is by inhibiting the growth of the Diacylglycerol Acyltransferase-1 (DGAT-1) enzyme. This study aims to build a QSAR model on DGAT-1 inhibitors as anti-diabetic using Particle Swarm Optimization (PSO) and Support Vector Machine (SVM). Acyl-CoA: DGAT1 is a microsomal enzyme in lipogenesis which is increased in metabolically active cells to meet nutrient requirements. Microsomal enzymes that have an important in the triglyceride-synthesis process of 1,2-diacylglycerol by-catalyzing-acyl-coa-dependent-acylations as anti-diabetics. The dataset used in this study consists of 228 samples containing molecular structures and their inhibitor activities. We reduce the number of features by removing features with a standard deviation less than the threshold value, followed by the PSO algorithm. The best-predicted result is obtained through the implementation of SVM with RBF kernel, with the score of and are 0.75 and 0.67, respectively.
DPP IV Inhibitors Activities Prediction as An Anti-Diabetic Agent using Particle Swarm Optimization-Support Vector Machine Method Reza Rendian Septiawan; Bambang Hadi Prakoso; Isman Kurniawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4470

Abstract

Diabetes mellitus is a chronic illness that can affect anyone, while the medicine that can entirely cure diabetes has not been discovered yet. Dipeptidyl Peptidase IV (DPP IV) inhibitor is one of the agents with potency as an anti-diabetic treatment. In this work, we utilized the machine learning method to predict the activity of DPP IV as an anti-diabetic agent. We combined Particle Swarm Optimization (PSO) method for features selection and the Support Vector Machine (SVM) for the prediction model. Three SVM kernels, i.e., radial basis function (RBF), polynomial, and linear, were utilized, and their performance was compared. A Hyperparameter tuning procedure was conducted to improve the performance of models. According to the results, we found that the best model obtained from SVM with RBF kernel with the value R2 of train and test set are 0.79 and 0.85, respectively.
Analisis Sentimen Pada Komentar Video Ulasan Makanan Dari Saluran Youtube Berbahasa Indonesia Menggunakan K-nearest Neighbor Roy Noviantho; Anton Siswo Raharjo Ansori; Reza Rendian Septiawan
eProceedings of Engineering Vol 8, No 6 (2021): Desember 2021
Publisher : eProceedings of Engineering

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Abstract

YouTube menjadi salah satu platform media sosial yang banyak digunakan untuk berkreasi, khususnya dalam bentuk video. Saat mengunggah video ulasan makanan pada platform YouTube, salah satu masalah yang muncul adalah belum adanya fitur yang dapat melakukan klasifikasi komentar. Berdasarkan masalah itu dibuatlah sebuah sistem yang secara otomatis dapat mengklasifikasikan komentar yang ada pada video yang terkait. Penggunaan analisis sentimen dapat melakukan klasifikasi komentar sesuai dengan kategori yang digunakan. Secara keseluruhan sistem terdiri dari dua tahap, yaitu proses pembuatan model dan proses analisis sentimen. Tahapan yang dilakukan yaitu menyiapkan dataset, melakukan preprocessing, labelling, term weighting, dan training dataset. Dataset yang digunakan adalah semua komentar dan balasan yang ada pada video mengenai ulasan makanan. Analisis sentimen dilakukan dengan menggunakan model yang memanfaatkan algoritma klasifikasi K Nearest Neighbor (K-NN) yang bersifat Supervised Learning. Hasil akhir dari sistem yang dibuat berupa pengklasifikasian nilai sentimen terhadap semua komentar yang ada dalam video ulasan makanan ke dalam dua kelas, yaitu positif dan negatif. Nilai akurasi yang didapat pada model yang dibuat adalah 89%. Adapun semua komentar yang didapat dan hasil analisis sentimen ditampilkan di web analisis sentimen ulasan makanan untuk dapat dilihat oleh pengguna. Kata kunci : Dataset,K-Nearest Neighbor, Labelling, Preprocessing, Term Weighting.
Perbandingan Metode Integrasi Velocity Verlet Dan Predictor-corrector Pada Molecular Dynamics Secara Serial Dan Paralel Perdana Aditya Natayuda; Nurul Ikhsan; Reza Rendian Septiawan
eProceedings of Engineering Vol 8, No 1 (2021): Februari 2021
Publisher : eProceedings of Engineering

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Abstract

Abstrak Dinamika molekuler adalah suatu metode simulasi komputer yang mempresentasikan interaksi antara atom dan molekul selama periode waktu tertentu. Simulasi dinamika molekuler menggunakan besaran percepatan dan kecepatan partikel untuk menentukan posisi pergerakan partikel. Pada penelitian sebelumnya, simulasi dinamika molekuler biasa dilakukan dengan menggunakan metode Velocity Verlet dan Predictor-Corrector. Simulasi dinamika molekuler memerlukan waktu komputasi yang lama karena jumlah partikel yang sangat banyak. Oleh karena itu pada penelitian tugas akhir ini, digunakan metode Velocity Verlet dan Predictor-Corrector yang dijalankan secara paralel menggunakan Compute Unified Device Architecture (CUDA) yang bertujuan untuk mengurangi waktu komputasi. Dengan menjalankan simulasi paralel dengan CUDA, simulasi dinamika molekuler menggunakan metode Velocity Verlet dan Predictor-Corrector berjalan lebih cepat secara paralel dibandingkan dengan dijalankan secara serial di CPU dengan total speedup mencapai 2.9 kali lebih cepat. Kata Kunci: CUDA, Dinamika Molekuler, Predictor-Corrector, Velocity Verlet. Abstract Molecular dynamics is a computer simulation method that presents interactions between atoms and molecules over a certain period of time. Molecular dynamics simulations use the amount of acceleration and particle velocity to determine the position of the particle's movement. In previous studies, molecular dynamics simulations are usually done using the Velocity Verlet and Predictor-Corrector methods. Molecular dynamics simulation requires a long computational time because of the large number of particles. Therefore, in this final project, Velocity Verlet and Predictor-Corrector methods are run in parallel using Compute Unified Device Architecture (CUDA) which aims to reduce computing time. By running parallel simulations with CUDA, molecular dynamics simulations using the Velocity Verlet and Predictor-Corrector methods run faster in parallel than those run serially on the CPU with a total speedup reaching 2.9 times faster. Keywords: CUDA, Molecular Dynamics, Predictor-Corrector, Velocity Verlet.
Photogrammetry to maintain heirloom authenticity Miftah Amirul Amin; Muhammad Emir Ghiffari; Muhammad Arham Irsyad; Umar Ali Ahmad; Reza Rendian Septiawan; Fussy Mentari Dirgantara; R Rogers Dwiputra Setiady
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i01.4839

Abstract

Heirlooms are very valuable items because they have a strong historical value. But in reality, many heirlooms are damaged as a result of the negligence of visitors who want to see the heirlooms or because of a disaster. Photogrammetry is a technology that is developing and is often used for today's industrial needs so that it offers an alternative solution for documenting heirlooms in the form of 3D models. This study aims to implement photogrammetry to document heirlooms. With the application of this technology, it is hoped that it can be used as a prevention or solution if heirlooms are damaged because we can make new duplicates of heirlooms based on 3D models that have been made. This research was conducted at Kanoman Palace, Cirebon City. The results of photogrammetry after it is implemented show that all needs are met and can be used as needed. The results of the questionnaire to the Kanoman Palace and people in Cirebon City, showed a figure of 73.7% strongly agree that the photogrammetry results are similar to the original heirlooms and strongly agree that by making 3D models of heirlooms can be used as prevention and solutions if the heirlooms are damaged.
IoT-Based Banknotes Saving Automation System Anggunmeka Luhur Prasasti; Reza Rendian Septiawan; Muhammad Haekal Alfarisi
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 01 (2023): February 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i01.5499

Abstract

Many problems occur with traditional savings, such as users not knowing the nominal amount that has been saved later, and the authenticity of the money saved. To overcome this problem, the "Savings Storage Automation System with IoT-Based Banknotes" tool was created, this tool aims to help users save money easily and safely. The system design is based on Arduino Mega. The inputs on the Arduino Mega consist of a GY-33 TCS34725 as a color sensor and a keypad to perform functions. The output produced is in the form of nominal data of banknotes that can be seen by the user through an LCD and sent to a database, checking the authenticity of the money is done manually by using ultraviolet. The method used to identify the nominal banknotes is based on the reading of each RGB value and color temperature on each nominal banknote. The average accuracy of reading currency values on real banknotes reaches 88%, while in testing counterfeit banknotes it is 14%. Testing execution time when entering money into savings is 3.57 seconds and data to the database is 6.57 seconds.
Co-Authors Anas Satria Anas Satria Angga Rusdinar ANGGUNMEKA LUHUR PRASASTI Anton Siswo Raharjo Ansori Arief Ilham Novandi Arief Ilham Novandi Ashri Dinimaharawati Bambang Hadi Prakoso Burhanuddin Dirgantoro Danang Triantoro Murdiansyah Dedi Gunawan Dedi Riana Devi Pratami Fairuz Azmi Fath Muhammad Isham Fauzi Sofyan Favian Dewanta Fussy Mentari Dirgantara I Kadek Andrean Pramana Putra Pramana I Putu Yuda Danan Jaya Ika Arum Puspita Ikbal Ramdani Isman Kurniawan Istikmal Istikmal Komang Triolascarya Litasari Widyastuti, Litasari Mas'ud Adhi Saputra Masud Adhi Saputra Miftah Amirul Amin Muhamad Naufal Syaiful Bahri Muhammad Arham Irsyad Muhammad Emir Ghiffari Muhammad Haekal Alfarisi Nurul Ikhsan Nurul Ikhsan Perdana Aditya Natayuda Prayitno Abadi Purba Daru Kusuma R Rogers Dwiputra Setiady Rifdo Shah Alam Roy Noviantho Taqiy Dzaki Muzhaffar Umar Ali Ahmad Wildan Panji Tresna Yusup Diva Pratama ZK Abdurahman Baizal