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Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control

kinetik
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Published by Universitas Muhammadiyah Malang

ISSN : 25032259 EISSN : 25032267 DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control was published by Universitas Muhammadiyah Malang. journal is open access journal in the field of Informatics and Electrical Engineering. This journal is available for researchers who want to improve their knowledge in those particular areas and intended to spread the knowledge as the result of studies. KINETIK journal is a scientific research journal for Informatics and Electrical Engineering. It is open for anyone who desire to develop knowledge based on qualified research in any field. Submitted papers are evaluated by anonymous referees by double-blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully within 4 - 8 weeks. The research article submitted to this online journal will be peer-reviewed at least 2 (two) reviewers. The accepted research articles will be available online following the journal peer-reviewing process.

Arjuna Subject : -

Articles 526 Documents

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Voice Over Internet Protocol (VOIP) Pada Jaringan Nirkabel Berbasis Raspberry Pi Rini Handayani
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 2, May-2017
Publisher : Universitas Muhammadiyah Malang

Voice Over Internet Protocol (VoIP) merupakan satu teknologi telekomunikasi yang mampu melewatkan layanan komunikasi dalam jaringan Internet Protocol sehingga memungkinkan antar pengguna berkomunikasi suara dalam jaringan IP. Kelebihan dari VoIP ini mampu melakukan efisiensi bandwith dan biaya pengelolaan dengan memanfaatkan Raspberry Pi sebagai server VoIP. Dalam penelitian ini, VoIP dibangun pada Sistem Operasi Linux dengan aplikasi Asterisk dan RasPBX yang diintegrasikan pada Raspberry Pi dengan menggunakan jaringan nirkabel lokal sebagai media transmisi. Sistem ini diujikan dengan menggunakan dua tipe client, yaitu PC dan smartphone dengan mengukur QoS dengan rata-rata delay 0.4463ms, rata-rata throughput 16.36KBps, rata-rata packet loss 0.889% dan jitter 1.102ms.

Instant Messaging Forensic Analysis on Android Operating System Guntur Maulana Zamroni; Imam Riadi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 2, May 2019
Publisher : Universitas Muhammadiyah Malang

WhatsApp (WA) is one of the Instant Messaging (IM) applications used by many people. WA and mobile devices cannot be separated from the possibility of misuse such as for criminal purposes. To handle a crime case involving a mobile device, the investigator needs to use suitable forensic tools and mobile forensic methodology so that the results can be approved and accepted by the law. This research conducted a forensic analysis of WA on unrooted Samsung C9 Pro devices using Belkasoft Evidence, Oxygen Forensic, Magnet AXIOM, and WA Key/DB Extractor. This research gives suggestion about forensic tools for conducting forensic analysis related to WA. From the research can be seen that there is no tool that can be used to obtain all the WA artifact parameters used in the research. The combination of the Magnet AXIOM and WA Key/DB Extractor is known to get the best results and meets the WA artifact parameters.

Prototype Sistem Multi-Telemetri Wireless Untuk Mengukur Suhu Udara Berbasis Mikrokontroler ESP8266 Pada Greenhouse Hanum Shirotu Nida; Mahar Faiqurahman; Zamah Sari
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 3, August-2017
Publisher : Universitas Muhammadiyah Malang

Telemetri wireless adalah proses pengukuran parameter suatu obyek yang hasil pengukurannya dikirimkan ke tempat lain melalui proses pengiriman data tanpa menggunakan kabel (wireless), sedangkan multi telemetri adalah gabungan dari beberapa telemeteri itu sendiri. Penelitian ini merancang prototype sistem multi-telemetri wireless untuk mengukur suhu udara dan kelembaban udara pada greenhouse dengan menggunakan sensor DHT11 dan data hasil dari pembacaan sensor dikirim dengan menggunakan modul WiFi ESP8266 ke server dengan menggunakan protokol HTTP. Dalam penelitian ini diuji nilai sensor DHT11, heap memory ESP8266, jarak atau jangkauan ESP8266, uji coba data missing handling dan kestabilan jaringan. Berdasarkan hasil pengujian diketahui bahwa sensor DHT11 memiliki rata-rata kesalahan ukur suhu 0.92 oC dan kelembaban 3.1%. Modul WiFi ESP8266 mampu menyimpan dan mengirim buffer hingga 100 data dan dapat melakukan pengiriman dalam jangkauan 50 meter. Data missing handling memanfaatkan buffer untuk menyimpan data selama server sedang tidak dapat diakses oleh sensor node agar data tidak hillang. Kestabilan pengiriman data atau koneksi sensor node dengan server dipengaruhi oleh jumlah access point yang sedang berkomunikasi disekitar access point server dengan menggunakan channel yang sama.

Clustering Majors for New Students at Vocational High School Muhammadiyah 3 Yogyakarta Using Fuzzy C-Means Rifqi Rahmatika Az-Zahra; Rusydi Umar; Abdul Fadlil
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

The development of the era demands quality human resources. For that need to be equipped with the knowledge and skills to be ready to compete in the world of work. Vocational High School has many skills programs. Examples of skills programs in Vocational High School are Computer Network Engineering, Audio and Video Engineering, Mechanical Engineering, Building, Drawing Techniques, Motorcycle Engineering, Installation and Power Engineering, systems that can assist in the decision-making process of prospective students. The grouping system will be created using the Fuzzy C-Means method. Grouping majors using fuzzy c-means algorithm is expected to help prospective students choose majors from the many majors that exist. This is done so that prospective students do not experience difficulties in learning activities, can develop optimally and is expected to work in accordance with the expertise that has been owned, so that ultimately can improve the quality of output and outcome of vocational education. The results obtained in this study in the form of data grouped based on 3 clusters, so that prospective students can choose the majors in accordance with the selected cluster.

Pemilihan Dan Migrasi VM Menggunakan MCDM Untuk Peningkatan Kinerja Layanan Pada Cloud Computing Abdullah Fadil; Waskitho Wibisono
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 2, August-2016
Publisher : Universitas Muhammadiyah Malang

Komputasi awan atau cloud computing merupakan lingkungan yang heterogen dan terdistribusi, tersusun atas gugusan jaringan server dengan berbagai kapasitas sumber daya komputasi yang berbeda-beda guna menopang model layanan yang ada di atasnya. Virtual machine (VM) dijadikan sebagai representasi dari ketersediaan sumber daya komputasi dinamis yang dapat dialokasikan dan direalokasikan sesuai dengan permintaan. Mekanisme live migration VM di antara server fisik yang terdapat di dalam data center cloud digunakan untuk mencapai konsolidasi dan memaksimalkan utilisasi VM. Pada prosedur konsoidasi vm, pemilihan dan penempatan VM sering kali menggunakan kriteria tunggal dan statis. Dalam penelitian ini diusulkan pemilihan dan penempatan VM menggunakan multi-criteria decision making (MCDM) pada prosedur konsolidasi VM dinamis di lingkungan cloud data center guna meningkatkan layanan cloud computing. Pendekatan praktis digunakan dalam mengembangkan lingkungan cloud computing berbasis OpenStack Cloud dengan mengintegrasikan VM selection dan VM Placement pada prosedur konsolidasi VM menggunakan OpenStack-Neat. Hasil penelitian menunjukkan bahwa metode pemilihan dan penempatan VM melalui live migration mampu menggantikan kerugian yang disebabkan oleh down-times sebesar 11,994 detik dari waktu responnya. Peningkatan response times terjadi sebesar 6 ms ketika terjadi proses live migration VM dari host asal ke host tujuan. Response times rata-rata setiap vm yang tersebar pada compute node setelah terjadi proses live migration sebesar 67 ms yang menunjukkan keseimbangan beban pada sistem cloud computing.

Front and Back Matter V4i3 Adhitya Dio Waskito
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 3, August 2019
Publisher : Universitas Muhammadiyah Malang

The Use of Python Tutor on Programming Laboratory Session: Student Perspectives Oscar Karnalim; Mewati Ayub
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Based on the fact that the impact of educational tools can only be accurately measured through student-centered evaluation, this paper proposes a long-term in-class evaluation for Python Tutor, a program visualization tool developed by Guo. The evaluation involves 53 students from 4 Basic Data Structure classes, which were held in the even semester of 2016/2017 academic year. It is conducted based on questionnaire survey asked to the students after they have used Python Tutor in their half of programming laboratory sessions. In general, there are three findings from this work. Firstly, Python Tutor helps students to complete programming laboratory tasks, specifically for Basic Data Structure material. Secondly, Python Tutor helps students to understand general programming aspects which are execution flow, variable content change, method invocation sequence, object reference, syntax error, and logic error. Finally, based on student perspectives, Python Tutor is a helpful tool positively affecting the students.

A Modified Real-Time Fault-Tolerant Task Allocation Scheme for Wireless Sensor Networks Francis Franklin Marshall; M B Mu'azu; I J Umoh; A T Salawudeen; B O Sadiq; D E Ikpe
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 1, February 2019
Publisher : Universitas Muhammadiyah Malang

In WSNs, the sensor nodes are at risk of failure and malicious attacks (selective forwarding). This may have a profound negative effect when you consider real-time WSNs, making them challenging to deploy. When there is a delay in tasks allocation execution processes in real-time WSNs because of sensor nodes failures, this will cause disastrous consequences if the systems are safety-critical, e.g. aircraft, nuclear power plant, forest fire detection, battlefield monitoring, thus the need to developed a real-time system that is fault-tolerable. This paper developed a modified real-time fault-tolerant task allocation scheme (mRFTAS) for WSNs (wireless sensor networks), using active replication techniques. mRFTAS and RFTAS performance were compared using time of execution of the task, network lifetime and reliability cost. The mRFTAS performance showed an improvement over that of RFTAS when it comes to reducing the time it takes for task execution by 45.56% and reliability cost of 7.99% while prolonging the network lifetime by 36.35%.

Penentuan Kombinasi Jumlah Katalis Dalam Produksi Metanol Menggunakan Metode Fuzzy Dan Evolution Strategies Angga Santoso
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 1, February-2017
Publisher : Universitas Muhammadiyah Malang

Sebagai salah satu bahan baku utama dalam berbagai industri kimia, cara yang paling umum digunakan dalam memproduksi metanol adalah melalui proses hidrogenasi karbon. Proses ini hanya dapat dilakukan dalam suhu yang sangat tinggi dan untuk mencapai suhu tersebut membutuhkan waktu yang sangat lama. Salah satu cara untuk mengurangi kebutuhan suhu tersebut adalah menggunakan suatu campuran senyawa kimia yang disebut katalis. Komposisi jumlah katalis yang tepat dan suhu yang sesuai merupakan faktor penting yang menentukan banyaknya produksi metanol yang dihasilkan. Mencari angka yang tepat dari semua kemungkinan melalui uji coba di laboratorium membutuhkan banyak waktu. Oleh karena itu, metode Fuzzy digunakan untuk menghitung banyaknya hasil produksi berdasarkan beberapa percobaan di laboratorium dan algoritma evolution strategies digunakan untuk mencari kombinasi jumlah katalis yang tepat. Katalis yang digunakan dalam uji coba adalah CuO-ZnO-ZrO2. Metode Fuzzy yang digunakan memperoleh akurasi sebesar 80.7% dengan membandingkan hasil dari laboratorium. Dari algoritma evolution strategies diperoleh produksi methanol paling besar pada komposisi jumlah katalis 40% Cu, 40% Zn, 20% Zr, dan suhu 230°C. Komposisi tersebut dapat digunakan untuk memproduksi methanol dengan hasil paling banyak tanpa harus mencoba semua kemungkinan komposisi.

An application of ANFIS for Lung Diseases Early Detection System Mochamad Yusuf Santoso; Am Maisarah Disrinama; Haidar Natsir Amrullah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 1, February 2020
Publisher : Universitas Muhammadiyah Malang

Indonesian Basic Health Research in 2018 showed the prevalence of pneumonia, pulmonary tuberculosis (TB) and lung cancer in Indonesia 4.0% 0.4% and 0.18%, respectively. However, the number of lung specialists is small. According to the Indonesian Lung Specialist Association webpage, the number of doctors joined in the association up to 2008 were 452. This amount is very less when compared with existing lung disease cases. Thus, the handling of lung disease will be too late. The use of ANFIS for early detection of lung disease is growing. However, the systems designed are need preprocessing data to be executed and still applied for one type of disease. This paper will design a desktop application based on ANFIS expert system to detect lung disease early, i.e. for pneumonia, pulmonary TB and lung cancer. The system will work based on simple symptoms expressed by the patient. Subtractive clustering is used for clustering process. The results of the training showed that the models were able to give better performance compared to the model built using conventional clustering methods. The test results show that those three models have comparable performance compared to their counterpart. Software validation shows that the it gives 94.00% succeed for training data and up to 100% for testing data. This application is not intended to replace the role of a doctor, but to help diagnose the patient's condition earlier.

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