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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 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 Library & Information Science Mathematics Social Sciences

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Increasing Smoke Classifier Accuracy using Naïve Bayes Method on Internet of Things Alieja Muhammad Putrada; Maman Abdurohman; Aji Gautama Putrada
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 1, February 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.29 KB) | DOI: 10.22219/kinetik.v4i1.704

Abstract

This paper proposes fire alarm system by implementing Naïve Bayes Method for increasing smoke classifier accuracy on Internet of Things (IoT) environment. Fire disasters in the building of houses are a serious threat to the occupants of the house that have a hazard to the safety factor as well as causing material and non-material damages. In an effort to prevent the occurrence of fire disaster, fire alarm system that can serve as an early warning system are required. In this paper, fire alarm system that implementing Naïve Bayes classification has been impelemented. Naïve Bayes classification method is chosen because it has the modeling and good accuracy results in data training set. The system works by using sensor data that is processed and analyzed by applying Naïve Bayes classification to generate prediction value of fire threat level along with smoke source. The smoke source was divided into five types of smoke intended for the classification process. Some experiments have been done for concept proving. The results show the use of Naïve Bayes classification method on classification process has an accuracy rate range of 88% to 91%. This result could be acceptable for classification accuracy.
Egg Quality Detection System Using Fuzzy Logic Method Ikbar Mahesa; Aji Gautama Putrada; Maman Abdurohman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 3, August 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.627 KB) | DOI: 10.22219/kinetik.v4i3.839

Abstract

Determining the quality of eggs in general is used by placing eggs on a flashlight. The detection system is very necessary to determine good egg quality or rotten eggs, so that the conditions of the eggs can be known by the chicken farm company and then will be sold to the community. This egg detecting system utilizes several sensor devices that are combined. The sensor used to detect the quality of eggs is a light sensor and a heavy sensor by connected with a microcontroller. So that there is no ambiguity towards the decision making of good egg or rotten eggs, then processing the data is obtained from these sensors using Fuzzy Logic and Firebase methods in real time as data storage media, and actuators will distribute or separate good eggs or the rotten eggs one. With the development of technology now, we can use the Internet of Things (IoT) technology, one of the systems check the quality of eggs which are good or not good. This system is built using a microcontroller to coordinate the running of the system using the Fuzzy Logic Method that applies inside. Final information is obtained on the form of egg quality in real time. The test results were carried out using the Fuzzy Logic method and obtained 95% results from 20 eggs and had 1 wrong egg. When using system hardware without using the fuzzy logic method on the microcontroller that using only a light sensor and a heavy sensor it produces a result of 75% from 20 eggs and had 5 wrong eggs. Using the egg detection optimization method can be increased up to 20%.
Context-Aware Smart Door Lock with Activity Recognition Using Hierarchical Hidden Markov Model Aji Gautama Putrada; Nur Ghaniaviyanto Ramadhan; Maman Abdurohman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 1, February 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.27 KB) | DOI: 10.22219/kinetik.v5i1.904

Abstract

Context-Aware Security demands a security system such as a Smart Door Lock to be flexible in determining security levels. The context can be in various forms; a person’s activity in the house is one of them and is proposed in this research. Several learning methods, such as Naïve Bayes, have been used previously to provide context-aware security systems, using related attributes. However conventional learning methods cannot be implemented directly to a Context-Aware system if the attribute of the learning process is low level. In the proposed system, attributes are in forms of movement data obtained from a PIR Sensor Network. Movement data is considered low level because it is not related directly to the desired context, which is activity. To solve the problem, the research proposes a hierarchical learning method, namely Hierarchical Hidden Markov Model (HHMM). HHMM will first transform the movement data into activity data through the first hierarchy, hence obtaining high level attributes through Activity Recognition. The second hierarchy will determine the security level through the activity pattern. To prove the success rate of the proposed method a comparison is made between HHMM, Naïve Bayes, and HMM. Through experiments created in a limited area with real sensed activity, the results show that HHMM provides a higher F1-Measure than Naïve Bayes and HMM in determining the desired context in the proposed system. Besides that, the accuracies obtained respectively are 88% compared to 75% and 82%.
Implementasi Fuzzy Logic pada Penjadwalan Pengairan Irigasi (Studi Kasus : BPSDA Serayu Citanduy) Krisna Ardhi Tama; Maman Abdurohman; Rahmat Yasirandi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 2 (2020): December 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v4i2.320

Abstract

Abstract - Irrigation system is an activity to get water to facilitate agricultural activities. The activity is to drain and provide water regularly to the land and then use it for land needs. This irrigation system has been implemented by BPSDA Serayu Citanduy, Central Java by using river water. Intelligent control system using Sugeno fuzzy algorithm in this study can determine the proper scheduling. The stages in the Sugeno fuzzy method are to form Fuzzy sets and then implement the implication function, the next process is Defuzzification. An intelligent control system prototype for scheduling soil irrigation using LoRa as a telemetry medium. Sugeno fuzzy algorithm application is to measure the discharge in river water and then compare it with the area of agricultural land. In this study using 50 hectares of land area and 38.18 L/sec water discharge resulted in 74 minutes.
A Wearable Device for Enhancing Basketball Shooting Correctness with MPU6050 Sensors and Support Vector Machine Classification Baginda Achmad Fadillah; Aji Gautama Putrada; Maman Abdurohman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 2, May 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i2.1435

Abstract

One of the impacts of Covid-19 is the delay of basketball sports competitions, which influences the athlete’s fitness and the athlete’s ability to play, especially for shooting techniques. Existing research in wearable devices for basketball shooting correctness classification exists. However, there is still an opportunity to increase the classification performance. This research proposes designing and building a smartwatch prototype to classify the basketball shooting technique as correct or incorrect with enhanced sensors and classification methods. The system is based on an Internet of things architecture and uses an MPU6050 sensor to take gyroscope data in the form of X, Y, and Z movements and accelerometer data to accelerate hand movements. Then the data is sent to the Internet using NodeMCU microcontrollers. Feature extraction generates 18 new features from 3 axes on each sensor data before classification. Then, the correct or incorrect classification of the shooting technique uses the Support-Vector-Machine (SVM) method. The research compares two SVM kernels, linear and 3rd-degree polynomial kernels. The results of using the max, average, and variance features in the SVM classification with the polynomial kernel produce the highest accuracy of 94.4% compared to the linear kernel. The contribution of this paper is an IoT-based basketball shooting correctness classification system with superior accuracy compared to existing research.
Telecommunication Numbering System Roadmap towards Next Generation Network Era in Indonesia Maman Abdurohman; Bambang Setia Nugroho; Aji Gautama Putrada
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp363-375

Abstract

The telecommunication numbering system in Indonesia currently complies to the International TelecommunicationUnion (ITU) standard, that is ITU-T E.164. In accordance to both technology development and the growing of network users, ITU has also been designing future infrastructure network concept, namely Next Generation Network Infrastructure (NGNI). In its technical paper, ITU discusses future generation’s specification as well as current network migration scenarios towards Next Gereration Network (NGN) in developing countries and its impact on regulations, business processes, and the numbering system. The scenario described in the concept is yet universal and the implementation would be highly depending on the conditions of ones country. This paper proposes the roadmap of numbering system from the current state into NGN numbering for the case of Indonesia. The method used in this paper are benchmarking with several countries that have started with the transformation process, forecasting with regression method based on the existing trends and descriptive analysis. This paper has proposed the stages of numbering roadmap towards NGN numbering system, the achievement parameters, and the indicators that are suitable for Indonesia.
Feasibility Study Pembangunan Technopark di Kabupaten Toba Mutiara Zallya Rizkita; Palti Marulita Sitorus; Khairunnisa Khairunnisa; Andry Alamsyah; Maman Abdurohman
Journal on Education Vol 5 No 3 (2023): Journal on Education: Volume 5 Nomor 3 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i3.1316

Abstract

Science and Technology Parks (also known as technoparks) are centers for the efficient and effective sharing of knowledge and resources across various sectors of society, including business, academia, government, and the nonprofit sector. The purpose of this study is to answer the formulation of the problem, namely the Feasibility Study in Technopark Development in Toba Regency. The research method used is qualitative research. Using literature review studies by looking for secondary sources of information, such as previous research, data from affiliated organizations, local village records, and so on. The results of the study show that within 10 years, the NPV is IDR 679,597,945 with income increasing every year until the fifth year, because the NPV value is positive, the NPV is acceptable and the PP calculation itself is for 5.5 years. The conclusion obtained from the Technopark development in Toba Regency can be said to be feasible and with the existence of this Technopark it can be a breakthrough in business.
Implementasi Protokol Coap Pada Smart Building Berbasis Openmtc Haikal Rahmat Fadilah; Maman Abdurohman; Anton Herutomo
eProceedings of Engineering Vol 2, No 3 (2015): Desember, 2015
Publisher : eProceedings of Engineering

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Abstract

Abstrak— Smart Building merupakan teknologi dimana berbagai komponen dalam bangunan dalam saling berinteraksi. Pada smart building komunikasi menjadi aspek penting untuk menyampaikan informasi. Pada paper ini, dilakukan penelitian mengenai komunikasi pada smart building, dengan mengaplikasikan protokol CoAP dalam platform middleware M2M OpenMTC yang sebelumnya memiliki protokol standar, yaitu HTTP. Protokol CoAP berperan dalam komunikasi antara sensor atau device application dan GSCL OpenMTC. Pengujian kinerja dilakukan dengan pengiriman data sensor sebesar 10, 100, dan 1000 dan ditentukan dengan parameter analisis delay, throughput, dan overhead protokol. Jumlah tersebut dinilai mewakili banyaknya data sensor pada suatu bangunan. Hasil dari pengujian dan analisis menunjukan bahwa protokol CoAP memiliki delay yang lebih rendah, throughput yang lebih stabil ketika data sensor menuju 1000, serta protokol CoAP memiliki overhead sekitar 50% lebih rendah dibandingkan dengan protokol HTTP. Kata kunci— Smart Building, M2M, OpenMTC, CoAP, HTTP, Kinerja. Abstract— Smart Building is a technology where various components building interact each other. In smart building, communication is an importent aspect to deliver information. this paper focus on smart building communication by applying protocol CoAP in OpenMTC M2M middleware platform that previsously had standard protocol HTTP. CoAP protocol has located in communication between sensor or device application and GSCL OpenMTC. Performance testing use sensor data at 10, 100, and 1000 by sending sensor data from device application towards GSCL OpenMTC and were determined use parameter, that is delay, throughput, and overhead protocol. this value represent the amount of sensor data on a building. The results show that CoAP protocol has lower delay, more stable throughput when the sensor data reaches 1000, and overhead of CoAP protocol has approximately 50% lower compared with HTTP protocol. Keywords— Smart Building, M2M, OpenMTC, CoAP, HTTP, performance.
Implementasi Dynamic Switch Migration pada Controller Terdistribusi di Software Defined Network. Rizal Mochamad Nazar; Maman Abdurohman; Erwid Musthofa Jadied
eProceedings of Engineering Vol 5, No 3 (2018): Desember 2018
Publisher : eProceedings of Engineering

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Abstract

Abstrak Software Defined Network merupakan teknologi yang dapat mengelola jaringan skala besar dengan memisahkan control plane dan data plane. Pengaturan jaringan dilakukan secara terpusat logically centralized oleh controller. ketika sebuah controller mengalami kelebihan load dan terjadi Single Point of Failure maka kinerja jaringan akan terganggu. Software Defined Network dapat mengatasi masalah tersebut dengan mengimplementasikan arsitektur Multiple Distributed Controller menggunakan metode Dynamic Switch Migration. Arsitektur Multiple Distributed Controller dalam penelitian ini menggunakan dua buah controller dengan peran Master dan Slave. Melalui simulasi menggunakan arsitektur Multiple Distributed Controller telah diuji kemampuan mekanisme Dynamic Switch Migration dalam menangani masalah kelebihan load pada controller dengan memindahkan sebagian switch dari controller master ke controller slave dan masalah Single Point of Failure dengan memindahkan seluruh switch controller master ke Controller slave. Kata kunci: Software Defined Network, Dynamic Switch Migration,Multiple Distributed Controller, kelebihan load, controller slave, controller master Abstract Software Defined Network is a technology that can manage large-scale networks by separating control plane and data plane. Network settings are centrally logically centralized by the controller. when a controller is overloaded and a Single Point of Failure occurs, network performance will be disrupted. Software Defined Network can solve this problem by implementing the Multiple Distributed Controller architecture using the Dynamic Switch Migration method. The Multiple Distributed Controller architecture in this study uses two controllers with Master and Slave roles. Through simulation using the Multiple Distributed Controller architecture, the ability of the Dynamic Switch Migration mechanism to handle the problem of overloading the controller by moving a part of the switch to the slave controller and Single Point of Failure by moving all switches to the Slave Controller. Keywords: Software Defined Network, Dynamic Switch Migration,Multiple Distributed Controller, overloaded, controller slave, controller master
Rekomendasi Lokasi Parkiran Sepeda Kampus Menggunakan Metode Algoritma Genetika Berbasis Internet Of Things (iot) Imas Nur Tiarani; Maman Abdurohman; Aji Gautama Putrada
eProceedings of Engineering Vol 6, No 1 (2019): April 2019
Publisher : eProceedings of Engineering

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Abstract

Abstrak Pada tanggal 8 Oktober 2014 Universitas Telkom memiliki program Green Campus dengan melakukan pengadaan alat transportasi yang murah dan ramah lingkungan yang dinamakan program sepeda kampus. Program sepeda kampus tersebut dapat melayani peminjaman sepeda disekitar kampus untuk menunjang kemudahan civitas akademik. Akan tetapi, program sepeda kampus ini dinilai masih kurang efektif dikarenakan fasilitas informasi mengenai parkiran yang tersedia pada lingkungan kampus belum memadai. Dalam mengatasi permasalahan tersebut maka penulis akan membuat sistem yang dapat memberikan rekomendasi lokasi parkiran sepeda untuk memudahkan civitas akademik dalam melakukan peminjam dan pengembalian sepeda pada lokasi parkiran sepeda terdekat dan tersedia. Metode algoritma genetik diterapkan oleh penulis dalam melakukan perancangan deteksi lokasi pada parkiran sepeda yang dimana sistem dapat mengeluarkan nilai informasi berupa titik koordinat. Penulis menggunakan metode Algoritma Genetika karena metode tersebut dapat mengeluarkan hasil optimal Kata Kunci : Program Sepeda Kampus, Rekomendasi Lokasi Parkiran, Algoritma Genetik. Abstract On October 8, 2014 Telkom University had a Green Campus program by procuring inexpensive and environmentally friendly transportation equipment called the campus bicycle program. The campus bicycle program can serve bicycle loans around the campus to support the convenience of the academic community. However, this campus bicycle program is still considered ineffective because the information facilities on parking available on campus are inadequate. In overcoming these problems, the authors will create a system that can provide bicycle parking location recommendations to facilitate the academic community in carrying out borrowers and returning bicycles at the nearest bicycle parking location and available. Genetic algorithm method is applied by the author in designing location detection on bicycle parking where the system can issue information values in the form of coordinates. The author uses the Genetic Algorithm method because the method can produce optimal results Keywords: Campus Bike Program, Recommended Parking Locations, Genetic Algorithm.
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 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