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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Journal of Computer Science and Informatics Engineering (J-Cosine) Journal on Education KOMPUTIKA - Jurnal Sistem Komputer ComTech: Computer, Mathematics and Engineering Applications TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Indonesian Journal of Electrical Engineering and Computer Science Al-Fathin: Jurnal Bahasa dan Sastra Arab Charity : Jurnal Pengabdian Masyarakat Bandung Conference Series: Economics Studies eProceedings of Engineering Jurnal INFOTEL
Maman Abdurohman
Universitas Telkom
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Journal : Indonesian Journal on Computing (Indo-JC)

 1 
Implementasi Algoritma Penjadwalan untuk pengelolaan Big Data dengan Hadoop Sidik Prabowo; Maman Abdurohman
Indonesia Journal on Computing (Indo-JC) Vol. 2 No. 2 (2017): September, 2017
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2017.2.2.189

Abstract

Paper ini mengusulkan skema scheduler hadoop pada penyelesaikan tipe job yang sesuai untuk peningkatan kinerja Hadoop. Kesesuaian jenis scheduler dan tipe job yang dikerjakan dapat meningkatkan throughput dan menurunkan waktu rata-rata penyelesaian job. Masalah utama pada eksekusi job adalah ketidaksesuaian antara scheduler dengan tipe job yang dikerjakan. Pada paper ini telah dilakukan pengujian terhadap beberapa algoritma scheduler Hadoop yaitu FIFO, Fair, SARS dan COSHH scheduler dengan beberapa jenis job yang ditangani dalam lingkungan hadoop. Jenis-jenis job yang diujikan adalah word count, random text writer dan grep. Pengujian dilakukan dua skenario, yaitu job homogen (satu jenis) dan heterogen (beberapa jenis job) dikerjakan bersama. Hasil pengujian menunjukan bahwa algoritma SARS cocok digunakan pada penyelesaian job yang sifatnya homogen. Sementara itu algoritma COSHH cocok digunakan pada penyelesaian job gabungan yang heterogen. 
Improving Smart Lighting with Activity Recognition Using Hierarchical Hidden Markov Model Nur Ghaniaviyanto Ramadhan; Aji Gautama Putrada; Maman Abdurohman
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.307

Abstract

This paper has the aim of implementing the smart lighting systems that is able to analyze daily movement activities, analyze the performance of hierarchical hidden markov models as predictions and analyze the performance of smart lighting with activity analysis using hierarchical hidden markov models. The purpose is to answer the problems that occur, namely the smart lights only turn on if users are right under the lights so users need a smart light which is able to read the movement of people when approaching the lamp or not. Secondly, there are also smart lights, but when usersare under the lights, it only lights up for a few seconds which should light up if there is a person below or a radius around the lamp so that a smart light is needed when someone is underneath and the lights will die it is outside the radius around the lamp. The model used is the hierarchical hidden markov model which is an extension of the hidden markov model which can solve the problem of evaluation, conclusion and learning with the algorithm used is the viterbi algorithm. The result obtained using HHMM are accuracy of 93%, 92% recall and 86% precision.
Design of API Gateway as Middleware on Platform as a Service Dita Oktaria; Joel Andrew M. K. Ginting; Maman Abdurohman; Rahmat Yasirandi
Indonesia Journal on Computing (Indo-JC) Vol. 6 No. 3 (2021): December, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.3.597

Abstract

The process of building a platform is a process that consists of various stages, there is a focus of work and requires different preparation, but until now there has been no awareness in utilizing data and information sources that have been available to be used as a basis for developing or creating a platform that is able to improve quality a system of integrity. For this reason, a Platform as a Service (PaaS) architecture was built which provides application development services to process data and information obtained from practicum activities during the lecture period based on cloud computing using the Service Oriented Architectural (SOA) method. The API gateway is used as middleware system. The results of the implementation and analysis carried out prove that the architecture using the API gateway as a built-in middleware can be considered to develop the Telkom University lab service system. Although there are adjustments to resources and needs, but the purpose of this architectural development has generally been realized. From the results of tests performed on a platform architecture that uses a gateway API, it produces RTT 2.081 seconds, 45 MB memory, and 8% CPU for each user in 100 users.
Co-Authors Aji Gautama Putra Aji Gautama Putrada Algi Fajardi Alieja Muhammad Putrada Andrian Rakhmatsyah Andry Alamsyah Anton Herutomo Arif Sasongko Arif Sasongko Baginda Achmad Fadillah Bambang Setia Nugroho Bayu Erfianto Dade Nurjanah Dani Prasetiawan Dita Oktaria Doan Perdana Elza Fitria Dwi Permatasari Erwid M Jadid Erwid Musthofa Jadied Fazmah Arif Y, Fazmah Fazmah Arif Yulianto Gabe Dimas Wicaksana Gayuh Titis Permana Haikal Rahmat Fadilah Hilal Hudan Nuha Idris, Ilham Maulana Idzar Andalan Tunjang Serawai Ikbar Mahesa Imas Nur Tiarani Joel Andrew M. K. Ginting Johan NMP Simatupang Khairunnisa Khairunnisa Krisna Ardhi Tama Krisna Kristiandi Hartono KUSPRIYANTO M. Deri Taufan Misioner Eman T. B. Moh. Khairudin Mohammad Lutfi Muhammad Rayhan Natadimadja Mulia Hanif Mutiara Zallya Rizkita Nando, Parlin Nando, Parlin Novian Anggis Suwastika Nuha, Hilal H Nur Ghaniaviyanto Ramadhan Palti Marulitua Sitorus Pamungkas, Rizaldi Ramdlani Prasetiawan, Dani Prihatni, Delita Putrada, Alieja Muhammad Putu Agus Fredy Raden Muhamad Yuda Pradana Kusumah Rahmat Yasirandi Rizal Mochamad Nazar Ryan Lingga Wicaksono Sarwono Sutikno Sidik Prabowo Sony Sumaryo Tito Mubarak Veshea Falerie Goszal