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Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
ISSN : 25032259     EISSN : 25032267     DOI : -
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.
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Articles 526 Documents
Prototipe Sistem Kontrol Jarak Jauh Beberapa Alat Pendingin Ruangan Berbasis Raspberry Pi Mochamad Subianto
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 3, November-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (820.357 KB) | DOI: 10.22219/kinetik.v1i3.128

Abstract

Saat ini pengendalian on/off berbagai piranti listrik kebanyakan masih dikendalikan dengan menekan tombol saklar atau remote yang penggunaannya dengan jarak yang dekat. Untuk menjawab kebutuhan masyarakat tentang sistem kontrol yang cepat dan dinamis diperlukan suatu teknologi sistem kontrol jarak jauh yang memungkinkan proses secara cepat agar dapat menghemat waktu dan tenaga khususnya pengendalian beberapa alat pendingin ruangan yang berada di beberapa ruangan. Penelitian ini merupakan penelitian lanjutan dari peneliti terdahulu dan menggunakan perangkat yang mempunyai teknolgi terbaru yaitu Raspberry Pi sebagai pengendali untuk membuat suatu sistem kontrol beberapa AC (Air Conditioning) pada ruangan yang berbeda secara jarak jauh. Diharapkan dapat sebagai salah satu solusi untuk perkembangan gaya hidup dan dinamika sosial saat ini yang semakin mementingkan kepraktisan dan efisiensi. Metodologi penelitian yang akan digunakan menggunakan metodologi waterfall dengan tahap-tahapannya yaitu tinjauan pustaka, analisa kebutuhan pengguna, analisis sistem, perancangan sistem, implementasi dan pengujian. Hasil akhir dari penelitian adalah prototipe pengendali jarak jauh beberapa perangkat AC Raspberry Pi.
Comparison Analysis Of Social Influence Marketing For Mobile Payment Using Support Vector Machine Prihono, Oman Fikriyan; Sari, Puspita Kencana
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 4, November 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (242.953 KB) | DOI: 10.22219/kinetik.v4i4.921

Abstract

There are many digital-based financial services today, one of them is mobile payment service. Users can deposit money and make online transaction with their smartphone through mobile application. Five mobile payment service providers with the most users in Indonesia, according to Dailysocial are GOPAY, OVO, LinkAja, DANA, and PayTren. This study uses sentiment analysis to classify user’s opinion into positive and negative classes. The classification method used is Support Vector Machine. This study utilizes three metrics, namely Net Sentiment, Share of Voice, and Social Influence Marketing Score. Those metrics are useful for knowing reputation, reach, and influence of brands in social media. The findings in this study indicate that GOPAY, OVO, DANA, and PayTren have a positive dominant sentiment, while LinkAja has a negative dominant sentiment. The brand with the biggest influence and reaches in the mobile payment industry is GOPAY. While the highest reputation brand is PayTren. The implication of this research is to encourage mobile payment providers to be able to monitor their brand conditions among their competitors by utilizing social network analysis method.
Intelligent Control System of Fire-Extinguishing and Obstacle-Avoiding Hexapod Robot Qory Hidayati; Fathur Zaini Rachman; Nur Yanti
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.267 KB) | DOI: 10.22219/kinetik.v3i1.470

Abstract

This hexapod fire extinguisher robot is constructed based on technological developments evolving very rapidly, especially in the field of robotics technology. The hexapod robot has become a big concern in the development of robotics technology with many existing contests of hexapod robot. This hexapod fire extinguisher robot is designed based on Fuzzy Mamdani Logic. The navigation of fire extinguisher hexapod robot is based on distance detection with ultrasonic sensor determining the movement of robot’s legs utilizing Fuzzy Logic. A fire extinguisher hexapod robot will explore a tunnel arena having several rooms created for the robot to explore. This hexapod robot uses Arduino as a microcontroller and uses 18 servo motors in which each foot requires 3 servo motors. Moreover, good navigation will be aimed by utilizing Fuzzy Logic in the hexapod robot design. The application of many rules on Fuzzy Logic makes the better navigation; furthermore, the results present the ultrasonic sensor having an average error of 1.256%, the Fuzzy Logic applied showing 0% error, and the overall success rate presenting approximately 80%.
Comparison of Acquisition Software for Digital Forensics Purposes Muhammad Nur Faiz; Wahyu Adi Prabowo
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 (409.756 KB) | DOI: 10.22219/kinetik.v4i1.687

Abstract

Digital Forensics, a term that is increasingly popular with internet needs and increasing cybercrime activity. Cybercrime is a criminal activity with digital media as a tool for committing crimes. The process for uncovering cybercrime is called digital forensics. The initial stage in digital forensics is an acquisition. The acquisition phase is very important because it will affect the level of difficulty and ease in investigating cybercrime. Software acquisition will affect the abandoned artefacts and even overwrite important evidence by the software, therefore investigators must use the best software for the acquisition stage. This study shows the difference in software for the acquisition of the best Random Access Memory (RAM) such as processing time, memory usage, registry key, DLL. This research presents five acquisition software such as FTK Imager, Belkasoft RAM Capturer, Memoryze, DumpIt, Magnet RAM Capturer. Results of this study showed that FTK Imager left about 10 times more artefacts than DumpIt and Memoryze. Magnet RAM Capture the most artefacts, 4 times more than Belkasot RAM Capturer. Software acquisition with many artefacts, namely Capture RAM Magnet and FTK Imager, while for the fastest time is DumpIt and Capture RAM Magnet for software that takes a long time.
Pengembangan Aplikasi Web Untuk Penentuan Nutrisi Anak Dengan Metode Fuzzy C-MEANS Berdasarkan Produk Kemasan Nur Rachmaliany; Sri Winiarti; Herman Yuliansyah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 2, May-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.173 KB) | DOI: 10.22219/kinetik.v2i2.160

Abstract

Orang tua perlu memperhatikan kualitas dan standar kesehatan produk yang dikonsumsi oleh anaknya. Orang tua juga perlu secara cermat memperhatikan komposisi penggunaan bahan baku pada produk kemasan yang beredar dipasaran. Penelitian ini bertujuan untuk mengembangkan aplikasi web untuk penentuan nutrisi anak dengan metode fuzzy c-means. Hasil penentuan diperoleh dari mempertimbangkan beberapa indikator seperti umur, berat badan (BB), tinggi badan (TB). Tahap pengembangan aplikasi adalah perancangan sistem dengan pembuatan basis pengetahuan, membuat model keputusan dengan algoritma fuzzy c-means, dan basis aturan, perancangan proses terdiri dari pembuatan proses bisnis, diagram konteks, Diagram Aliran Data (DAD), struktur menu, desain antarmuka sistem, implementasi, dan pengujian sistem dengan menggunakan metode User Acceptance Test (UAT), Usability Testing (UT), Pengujian Knowledge, dan Validasi Fuzzy C-Means. Hasil dari peneltian ini adalah aplikasi web untuk penentuan nutrisi anak usia 7 bulan sampai 6 tahun yang membantu orang tua untuk mengetahui status gizi anak, dan juga dapat merekomendasikan produk kemasan yang dapat dikonsumsi anak. Hasil dari pengujian User Acceptance Test sebesar 89 % dapat menerima, pengujian Usability Testing sebesar 74,87 % sesuai, pengujian knowledge sebesar 79 % sesuai, dan validasi penerapan fuzzy c-means sebesar 83 %.Kata kunci: Metode Fuzzy C-Means, Nutrisi, Produk Kemasan, Aplikasi Web
Prediction of Biochemical Oxygen Demand Using Radial Basis Function Network Noor, Muhammad; Buliali, Joko Lianto
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 (793.796 KB) | DOI: 10.22219/kinetik.v5i1.1006

Abstract

Biochemical oxygen demand shows the amount of oxygen needed by microorganisms to decompose dissolved organic substances suspended in water. This variable determines water quality. The higher value indicates lower water quality. Obtaining this value requires a lengthy procedure of five days in typical laboratories. This paper proposes to predict biochemical oxygen demand using a radial basis function network with improvement relational fuzzy c-means clustering to set centroid by using 11 parameters that come from water quality records. The dataset used in testing consisting of weekly parameters between 2014-2019. Testing results show performance measurement of mean absolute error, mean square error, root mean square error, mean absolute percentage error, and accuracy using centroid with improvement relational fuzzy c-means 0.15016, 0.3677, 0.19082, 21.64490 and 78.35510 comparing with centroid from fuzzy c-means 0.16002, 0.04021, 0.19963, 22.83184, and 77.16816.
Functional Requirement Design for Optimizing Tourism Promotion of DKI Jakarta based on Descriptive Research Method Jumail Wastam; Eka Budhy Prasetya; Retnani Latifah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 2, May-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.069 KB) | DOI: 10.22219/kinetik.v3i2.600

Abstract

This study presents data collected as sample from two places of tourism spots, TMII and MONAS. Furthermore, additional data has also been collected from public places such as campuses to support current data collection. The data is collected in order to recognize the visitors’ responses according to their tourism information needs in preparing their traveling activities. Descriptive research method adopted using self-designed questionnaires focusing on “what” is applied to investigate the questions which are related with the topic of the study. The results of data analysis would be referred as foundation in designing the system functionalities required to develop an application for the future development. Furthermore, more data is observed from some data resources such as Central Bureau of Statistics (BPS) of DKI Province and Global Destination Cities Index to recognize the performance of DKI Jakarta in receiving visitors within the last three years compared to other cities in some neighboring countries such as Bangkok, Kuala Lumpur and Singapore. Thirty respondents are involved in the study to identify what potential information which can be explored. The information which is related to visitors’ travel preparation becomes imperative to be analyzed to optimize the tourism promotion. Descriptive research method helps researchers in obtaining data on functional needs according to the current state of society, in the scope of travel activities and preparations. The system design viewed from the functional needs shows what people can do based on the results of the analysis.
Increasing The Precision Of Noise Source Detection System using KNN Method Nando, Parlin; Putrada, Aji Gautama; Abdurohman, Maman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 2, May 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.591 KB) | DOI: 10.22219/kinetik.v4i2.757

Abstract

This paper proposes Accurate Noise Source Detection System using K-Nearest Neighbor (KNN) Method. Noise or sound intensity is usually measured in decibels (dB). In an educational environment the recommended noise index limit is 55 dB. It means that noise louder than that limit is prohibited. While a loud noise in a campus area occurred, it will be troublesome for the authorities to deal with the matter. This paper proposes a noise source detection system that can locate the position of the noise source. This system used Df analog V2 voice sensor for detecting the loud noise intensity. A microcontroller with WiFi capabilities will allow the system to communicate with an Internet of Things (IoT) platform that can perform a learning method to detect the location of the loud noise source. KNN method is used as the learning method. The result shows a user is able to get a warning related to the noise that occurs in an area at once. The precision position of the noise source can be detected with 70% average accuracy rate
Sistem Berbasis Pengetahuan Untuk Pencarian Alternatif Obat Yang Berkhasiat Sama Fatma Indriani
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 3, August-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.368 KB) | DOI: 10.22219/kinetik.v2i3.171

Abstract

Pada makalah ini dipaparkan sistem berbasis pengetahuan yang mampu mencari alternatif obat bermerek yang memiliki khasiat yang sama. Sistem ini bermanfaat membantu pasien, apoteker, maupun dokter menentukan pengganti suatu obat yang tidak tersedia. Pertama-tama, pengetahuan diakuisisi dari pakar dan direpresentasikan secara formal. Dari tahap ini, yang representasi pengetahuan meliputi data lengkap obat dari katalog, serta keterkaitan antar nama indikasi, antar nama kandungan, antar nama kontraindikasi, dan antar nama efek samping. Keterkaitan ini direpresentasikan sebagai graf tak berarah. Sedangkan mekanisme pencarian adalah dengan membandingkan kedekatan tiap unsur dari keempat petunjuk penggunaan obat tersebut terhadap query pengguna. Tahap kedua adalah implementasi sistem dengan tool expert system CLIPS. Basis pengetahuan bersumber dari salah satu indeks farmakoterapi dari buku ISO (Informasi Spesialite Obat) Indonesia. Tahap terakhir adalah pengujian sistem. Sistem diujicobakan dengan berbagai query masukan, dan keluaran sistem dibandingkan dengan jawaban pakar. Dari hasilnya didapat bahwa sistem dapat menampilkan obat pengganti dengan relevansi 95%. Akan tetapi nilai relevansi ini dapat ditingkatkan dengan perbaikan basis pengetahuan.
Pengembangan Mekanisme Otentikasi Dan Otorisasi Manajemen Config Pada Kasus Shared Web Hosting Berbasis Linux Container Saifuddin Saifuddin; Royyana Muslim Ijtihadie; Baskoro Adi Pratomo
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 2, August-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.279 KB) | DOI: 10.22219/kinetik.v1i2.27

Abstract

Sebagian besar penyedia layanan website menggunakan sistem operasi Linux. Ketika salah satu website dalam web server dapat diambil alih, kemungkinan besar website yang lain juga akan dapat diambil alih dengan cara membaca konfigurasi penghubung ke database. Mekanisme yang digunakan untuk membaca sebuah file konfigurasi dengan perintah di linux secara default memang tersedia, dengan menggunakan perintah “ln” yang dikenal dengan istilah “Symlink” yang dapat membaca direktori konfigurasi web walaupun berbeda direktori. Hasil penelitian yang dilakukan, konfigurasi yang terdapat di dalam aplikasi web yang berada direktori dalam satu server, walaupun tetap terbaca dengan menggunakan metode tersebut, namun tidak dapat di-decode untuk membaca username dan password, serta database name, karena sudah diberi otorisasi yang bisa medecode hanya dari direktori yang sudah terdaftar, sedangkan pada pengujian performa untuk latency, memory, dan CPU system yang diusulkan tidak sebagus dengan system sebelumnya, namun dengan menggunakan cache, respond time yang dihasilkan ketika diakses secara simultan dengan 20 kali klik per-user menunjukkan system yang lama sebesar 941,4 ms, sedangkan untuk sistem yang diusulkan sebesar 786,6 ms.