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All Journal International Journal of Electrical and Computer Engineering Jurnal Silvikultur Tropika (JST) JREC (Journal of Electrical and Electronics) Jurnal Ilmu Komputer dan Agri-Informatika Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIN (Jurnal Online Informatika) Petir JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal of Applied Engineering and Technological Science (JAETS) Jurnal Sistem Informasi
Hendra Rahmawan Hendra Rahmawan
Departemen Ilmu Komputer, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Public Health Social Sciences

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PENGEMBANGAN SISTEM E-VOTING DENGAN PROTOKOL TWO CENTRAL FACILITIES MENGGUNAKAN FINGERPRINT SEBAGAI OTENTIKASI VOTER Sikki, Muhammad Ilyas; Guritman, Sugi; Rahmawan, Hendra
JREC (Journal of Electrical and Electronics) Vol 1, No 3 (2013): JREC (Jurnal Of Electrical and Electronics
Publisher : JREC (Journal of Electrical and Electronics)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The e-voting system which developed using two central facilities protokol consist of three componentthat is voting machine as client for interaction with voter, central legitimization agency (CLA) asserver voter authentication, and central tabulating facility (CTF) as server for result recapitulationvoter vote count. Research in this thesis just focused to voter authentication process on votingmachine toward database of voter that stored in CLA with using fingerprint biometric technology.Fingerprint biometric technology used for voter registration process, voter verification process, andvoter authentication process who will doing election. Registration process for acquire voterfingerprint image database, verification process to be sure voter database can be verificated or not,and authentication process for voter authorization who can be permitted or not by system give of votein election.Key words : E-voting, voter, authentication, fingerprint
PENGEMBANGAN SISTEM E-VOTING DENGAN PROTOKOL TWO CENTRAL FACILITIES MENGGUNAKAN FINGERPRINT SEBAGAI OTENTIKASI VOTER Sikki, Muhammad Ilyas; Guritman, Sugi; Rahmawan, Hendra
JREC (Journal of Electrical and Electronics) Vol 1 No 3 (2013): JREC (Journal of Electrical and Electronics)
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.803 KB)

Abstract

The e-voting system which developed using two central facilities protokol consist of three component that is voting machine as client for interaction with voter, central legitimization agency (CLA)  as server  voter authentication, and central tabulating facility (CTF) as server for result recapitulation voter vote count. Research in this thesis just focused to voter authentication process on voting machine toward database of voter that stored in CLA with using fingerprint biometric technology. Fingerprint biometric technology used for voter registration process, voter verification process, and voter authentication process who will doing election. Registration process for acquire voter fingerprint image database, verification process to be sure voter database can be verificated or not, and authentication process for voter authorization who can be permitted or not by system give of vote in election
Smart Water Management Framework Berbasis IoT Untuk Mendukung Pertanian Urban Yan Mitha Djaksana; Heru Sukoco; Sri Wahjuni; Hendra Rahmawan; Shelvie Nidya Neyman
PETIR Vol 14 No 1 (2021): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v14i1.1112

Abstract

Related to water resources is one of the problems that often occurs in certain areas that have large populations such as urban areas, in addition to having to provide water that is used for daily activities, today many urban residents live in urban hardships, so an alternative is needed in providing resources water that must be purchased in daily necessities, in this paper we proposed a framework for support urban farming that we called the smart water management system by utilizing the IoT (Internet of Thinks) technology specifically sensors and machine learning algorithms in managing available water resources. many researchers have developed a similar model, but the framework model that we proposed using reuse water and filtered rainwater so that it meets the minimum quality requirements of water that can be reused in agriculture, so we hopes to make domestic water use more effective and efficient and predictable water consumption and availability.
Pengembangan Sistem Pengukur Curah Hujan di Sungai Jakarta Berbasis IoT Hendra Rahmawan; Dary Muzhar Muhammad; Farianto
Jurnal Ilmu Komputer dan Agri-Informatika Vol 9 No 1 (2022)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.9.1.23-36

Abstract

DKI Jakarta is a lowland with high rainfall intensity in certain periods. Currently rainfall is measured manually by officers by visiting directly the Ombrometer rainfall gauge which is placed at a number of points close to several rivers in Jakarta. With such a procedure, the measurement of rainfall becomes inefficient in terms of time and cost because it requires officers who have to visit the measurement location directly and require several additional processes to get the measurement value. This will be difficult if rainfall data is needed in real time, such as for flood early warning purposes. To overcome this problem, a rainfall measuring system is needed that can measure rainfall automatically and send the measurement results in real time via the internet. In this research, an IoT-based rainfall measuring system has been developed using the waterfall method which consists of the stages of defining requirements, designing system, implementing system, and testing system. The system is based on a tipping bucket rainfall sensor whose value can be read and processed directly by the IoT NodeMCU ESP8266 device. The test results have shown that all the functional requirements of the system that have been defined can function properly.
Herbal Compound Screening with GPU Computation on ZINC Database through Similarity Comparison Approach Refianto Damai Darmawan; Wisnu Ananta Kusuma; Hendra Rahmawan
Khazanah Informatika Vol. 8 No. 2 October 2022
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v8i2.16349

Abstract

Covid-19 is a global pandemic that drives many researchers to strive to look for its solution, especially in the field of health, medicine, and total countermeasures. Early screening with in-silico processes is crucial to minimize the search space of the potential drugs to cure a disease. This research aims to find potential drugs of covid-19 disease in the ZINC database to be further investigated through the in-vitro method. About 997.402.117 chemical compounds are searched about their similarity to some of the confirmed drugs to combat coronavirus. Sequential computation would take months to accomplish this task. The general programming graphic processing unit approach is used to implement a similarity comparison algorithm in parallel, in order to speed up the process. The result of this study shows the parallel algorithm implementation can speed up the computation process up to 55 times faster, and also that some of the chemical compounds have high similarity scores and can be found in nature
Deep learning optimization for drug-target interaction prediction in COVID-19 using graphic processing unit Refianto Damai Darmawan; Wisnu Ananta Kusuma; Hendra Rahmawan
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp3111-3123

Abstract

The exponentially increasing bioinformatics data raised a new problem: the computation time length. The amount of data that needs to be processed is not matched by an increase in hardware performance, so it burdens researchers on computation time, especially on drug-target interaction prediction, where the computational complexity is exponential. One of the focuses of high-performance computing research is the utilization of the graphics processing unit (GPU) to perform multiple computations in parallel. This study aims to see how well the GPU performs when used for deep learning problems to predict drug-target interactions. This study used the gold-standard data in drug-target interaction (DTI) and the coronavirus disease (COVID-19) dataset. The stages of this research are data acquisition, data preprocessing, model building, hyperparameter tuning, performance evaluation and COVID-19 dataset testing. The results of this study indicate that the use of GPU in deep learning models can speed up the training process by 100 times. In addition, the hyperparameter tuning process is also greatly helped by the presence of the GPU because it can make the process up to 55 times faster. When tested using the COVID-19 dataset, the model showed good performance with 76% accuracy, 74% F-measure and a speed-up value of 179.
Scalability Testing of Land Forest Fire Patrol Information Systems Ahmad Khusaeri; Imas Sukaesih Sitanggang; Hendra Rahmawan
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.977

Abstract

The Patrol Information System for the Prevention of Forest Land Fires (SIPP Karhutla) in Indonesia is a tool for assisting patrol activities for controlling forest and land fires in Indonesia. The addition of Karhutla SIPP users causes the need for system scalability testing. This study aims to perform non-functional testing that focuses on scalability testing. The steps in scalability testing include creating schemas, conducting tests, and analyzing results. There are five schemes with a total sample of 700 samples. Testing was carried out using the JMeter automation testing tool assisted by Blazemeter in creating scripts. The scalability test parameter has three parameters: average CPU usage, memory usage, and network usage. The test results show that the CPU capacity used can handle up to 700 users, while with a memory capacity of 8GB it can handle up to 420 users. All users is the user menu that has the highest value for each test parameter The average value of CPU usage is 44.8%, the average memory usage is 69.48% and the average network usage is 2.8 Mb/s. In minimizing server performance, the tile cache map method can be applied to the system and can increase the memory capacity used.
PENGEMBANGAN SISTEM E-VOTING DENGAN PROTOKOL TWO CENTRAL FACILITIES MENGGUNAKAN FINGERPRINT SEBAGAI OTENTIKASI VOTER Muhammad Ilyas Sikki; Sugi Guritman; Hendra Rahmawan
Jurnal Sistem Informasi Vol. 9 No. 2 (2013): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.947 KB) | DOI: 10.21609/jsi.v9i2.359

Abstract

The e-voting system which developed using two central facilities protokol consist of three component that is voting machine as client for interaction with voter, central legitimization agency (CLA) as server voter authentication, and central tabulating facility (CTF) as server for result recapitulation voter vote count. Research in this paper just focused to voter authentication process on voting machine toward database of voter that stored in CLA with using fingerprint biometric technology. Fingerprint biometric technology used for voter registration process, voter verification process, and voter authentication process who will doing election. Registration process for acquiring voter fingerprint image database, verification process to be sure voter database can be verificated or not, and authentication process for voter authorization who can be permitted or not by system give of vote in election.
Pengembangan Sistem Manajemen Pelatihan Kerja di Kota Surakarta Affriza Brilyan Relo Pambudi Agus Putra; Shelvie Nidya Neyman; Hendra Rahmawan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 4: Agustus 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241047167

Abstract

Program pelatihan kerja di Pemerintah Kota Surakarta yang ditawarkan oleh Dinas Tenaga Kerja, Dinas Pendidikan, Dinas Perdagangan, Dinas Pemberdayaan Perempuan, Perlindungan Anak dan Pemberdayaan Masyarakat dan Dinas UMKM Koperasi & Industri. Saat ini beberapa instansi pemerintah yang memiliki program pelatihan kerja yang sama masih menggunakan sistem konvensional. Data pengangguran diambil melalui dari Dinas Sosial Kota Surakarta dikirim melalui media sosial WhatshApp sehingga terjadinya tumpang tindih data pengangguran dan pelaksanaan pelatihan kerja. Instansi yang terlibat dalam program pelatihan kerja belum memiliki rencana strategis dan beberapa proses bisnis dilakukan secara manual. Melihat kondisi permasalahan tersebut maka dibutuhkan suatu perencanaan pengembangan sistem pada instansi pemerintah (dalam hal ini Dinas terkait) sistem informasi dianalisis dan dirancang dengan metode prototyping, merupakan bagian proses untuk membagikan program pelatihan kerja di setiap dinas terkait merealisasikan tujuannya. Untuk dapat menerapkan perencanaan yang mengintegrasikan dan menyinkronkan data menjadi sarana Pemerintah Kota Surakarta dapat mengelola sistem manajemen pelatihan kerja. Dari hasil penelitian ini melalui pengujian dengan metode black box untuk mengukur efisiensi, akurasi, validitas data dan kegunaan sistem manajemen pelatihan kerja untuk memastikan tidak terjadinya kembali tumpang tindih data. AbstractJob training programs in the Surakarta City Government are offered by the Department of Manpower, the Office of Education, the Office of Commerce, the Office for Women's Empowerment, Child Protection and Community Empowerment, and the Office for MSME, Cooperatives, and Industry. Several government agencies with the same job training program are still using the conventional system. The response data was taken through the Surakarta City Social Service and sent via WhatsApp social media so that there was an overlapping of the response data and the implementation of job training. The agencies involved in the job training program do not yet have a strategic plan and some business processes are carried out manually. Seeing the condition of the problem, it is necessary to have a system development plan for government agencies (in this case the related Office). Information systems are analyzed and designed using the prototyping method, which is part of the process for distributing job training programs in each Service related to utilization. To be able to implement planning that integrates and synchronizes data becomes a means for the Surakarta City Government to manage a job training management system. the results of this study through testing with the black box method for efficiency, accuracy, data validity, and the use of job training management systems to ensure data overlap does not occur again.
Modification of Load Calculation in The Dijkstra Algorithm to Achieve High Throughput and Low Latency on 5G Networks Eko Kuncoro Adiyanto; Sri Wahjuni; Hendra Rahmawan
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 2 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i2.4705

Abstract

throughput for high-resolution remote video surveillance. 5G cellular network as today's most advanced wireless technology will be the perfect match for Agriculture 4.0 requirements. In its maturity process, the 5G network requires various optimizations, one of which is by making route algorithm calculation modifications in terms of determining the best route for a data packet from a data source to a data destination. To achieve this goal, it requires research in the form of experiments using network simulator. Software Define Network (SDN) as network programmability is used to modify route in Dijkstra algorithm calculation, and run several use case that simulate 5G network characteristic. By adding bandwidth utilization and latency parameters into the routing algorithm calculations, 5G requirements such as packet loss below 1% and latency below 5ms are successfully achieved.  These positive results may be further tested on real 5G networks, if in the future this research also gets positive results in testing on a real 5G network, then cellular network customers will be able to experience an increase in service quality.
Co-Authors Affriza Brilyan Relo Pambudi Agus Putra Ahmad Khusaeri Albar, Israr Ali Imran Auriza Rahmad Akbar Dary Muzhar Muhammad Eko Kuncoro Adiyanto Farianto Firman Ardiansyah Heru Sukoco Imas Sukaesih Sitanggang Krisnanto, Ferdian Lailan Syaufina Maxiwinata, Maxdha Muhammad Ilyas Sikki Muhammad Ilyas Sikki Muhammad Ilyas Sikki Muhammad Ilyas Sikki Purwanti, Endang Yuni Refianto Damai Darmawan Refianto Damai Darmawan Satyawan, Verda Emmelinda Shelvie Nidya Neyman Sri Wahjuni Sugi Guritman Supriyanto, Arif Trisminingsih, Rina Wisnu Ananta Kusuma WULANDARI Yan Mitha Djaksana