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Monitoring Vibration of A Model of Rotating Machine Djajadi, Arko; Azavi, Arsi; Rusyadi, Rusman; Sinaga, Erikson
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 1 (2011)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Mechanical movement or motion of a rotating machine normally causes additional vibration. A vibration sensing device must be added to constantly monitor vibration level of the system having a rotating machine, since the vibration frequency and amplitude cannot be measured quantitatively by only sight or touch. If the vibration signals from the machine have a lot of noise, there are possibilities that the rotating machine has defects that can lead to failure. In this experimental research project, a vibration structure is constructed in a scaled model to simulate vibration and to monitor system performance in term of vibration level in case of rotation with balanced and unbalanced condition. In this scaled model, the output signal of the vibration sensor is processed in a microcontroller and then transferred to a computer via a serial communication medium, and plotted on the screen with data plotter software developed using C language. The signal waveform of the vibration is displayed to allow further analysis of the vibration. Vibration level monitor can be set in the microcontroller to allow shutdown of the rotating machine in case of excessive vibration to protect the rotating machine from further damage. Experiment results show the agreement with theory that unbalance condition on a rotating machine can lead to larger vibration amplitude compared to balance condition. Adding and reducing the mass for balancing can be performed to obtain lower vibration level.Â

Android-manifest extraction and labeling method for malware compilation and dataset creation Hindarto, Djarot; Djajadi, Arko
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp6568-6577

Malware is a nuisance for smartphone users. The impact is detrimental to smartphone users if the smartphone is infected by malware. Malware identification is not an easy process for ordinary users due to its deeply concealed dangers in application package kit (APK) files available in the Android Play Store. In this paper, the challenges of creating malware datasets are discussed. Long before a malware classification process and model can be built, the need for datasets with representative features for most types of malwares has to be addressed systematically. Only after a quality data set is available can a quality classification model be obtained using machine learning (ML) or deep learning (DL) algorithms. The entire malware classification process is a full pipeline process and sub processes. The authors purposefully focus on the process of building quality malware datasets, not on ML itself, because implementing ML requires another effort after the reliable dataset is fully built. The overall step in creating the malware dataset starts with the extraction of the Android Manifest from the APK file set and ends with the labeling method for all the extracted APK files. The key contribution of this paper is on how to generate datasets systematically from any APK file.

WASTE BANK ESTABLISHMENT AS A FORM OF SUSTAINABLE ENTREPRENEURSHIP IN SERDANG WETAN VILLAGE Pratiwi, Putu Yani; Lestari, Elissa Dwi; Purnamaningsih, Purnamaningsih; Rizkalla, Nosica; Djajadi, Arko
Jurnal Sinergitas PKM & CSR Vol 8, No 1 (2024): APRIL
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v8i1.7991

According to data from the National Waste Management Information System 43.3% of the waste produced by the community comes from household waste. This figure makes households the largest source of waste generators. In South Tangerang city area, data from the South Tangerang Environmental Service shows that the waste generated by the people of South Tangerang city is 1000 tons every day. With the high volume of waste produced, household waste management has become an important thing to do so that waste is not just thrown away in the landfill. Serdang Wetan Village, which is one of the villages supported by Multimedia Nusantara University, currently does not have a waste bank, so the aim of the current Community Development Program is to establish a Waste Bank in Serdang Wetan Village. The program began with household waste management training to housewives in Serdang Wetan Village, then continued to form a WhatsApp group as a medium of information and communication. Every 2 weeks, the residents bring their clean household waste to the waste bank. This program has succeeded in raising public awareness about sorting waste, reducing waste entering the landfill, eliminating the habit of burning waste, and also providing additional income for the Serdang Wetan Village-Owned Enterprise (BumDes).

APLIKASI DOUBLE DIFFERENCE UNTUK IDENTIFIKASI ZONA PATAHAN MIKRO WILAYAH SULAWESI BARAT Suwardi, Suwardi; Djajadi, Arko; Subrata, Tata; Nudiyah , Laura Belani
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 2 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No2.pp272-277

West Sulawesi is an area in South Sulawesi province that is experiencing a sudden increase in seismic activity. There have been 264 earthquake events recorded during the 2021-2022 period. The increase in seismic activity occurred around the west Sulawesi segment and the Mamuju segment, which are local faults located in west Sulawesi. Sulawesi Island itself is the result of fragments due to larger complex reactions and has quite high seismic activity. Therefore, it is necessary to calculate the earthquake hypocenter relocation to obtain more accurate hypocenter parameters for fault zone identification and micro fault orientation. This study aims to relocate the earthquake hypocenter based on mathematical measurement data using the Double-Difference method for identification of fault zones and micro-fault orientation. The data used is BMKG earthquake catalog data for the western Sulawesi region with a range of 118.49 East - 119.59 East and 3.67 LS -2.45 LS in the 2021-2022 period. The Double-Difference method is a method based on the Geiger method using residual travel time data from each pair of hypocenters to the earthquake recording station. The principle is to compare two earthquake hypocenters that are close to the earthquake recording station with the assumption that the distance between the two hypocenters must be closer than the distance between the hypocenter and the earthquake recording station. This is done so that the raypath of the two hypocenters can be considered close to the same value. From the calculation of the earthquake hypocenter relocation, it was found that the hypocenter after relocation experienced changes in distribution that accumulated in the Mamasa fault segment area. From the residual histogram, it is found that the RMS residual is close to 0, indicating an improvement in data quality as evidenced by the observation travel time and the calculated travel time are almost close to the same value. In the cross-section results, it is obtained that the depth changes vary in the subsurface depth from the initial depth of 10 km before being relocated, indicating that the earthquake that occurred in West Sulawesi was included in the shallow crustal earthquake type.

WASTE BANK ESTABLISHMENT AS A FORM OF SUSTAINABLE ENTREPRENEURSHIP IN SERDANG WETAN VILLAGE Pratiwi, Putu Yani; Lestari, Elissa Dwi; Purnamaningsih, Purnamaningsih; Rizkalla, Nosica; Djajadi, Arko
Jurnal Sinergitas PKM & CSR Vol. 8 No. 1 (2024): APRIL
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v8i1.7991

According to data from the National Waste Management Information System 43.3% of the waste produced by the community comes from household waste. This figure makes households the largest source of waste generators. In South Tangerang city area, data from the South Tangerang Environmental Service shows that the waste generated by the people of South Tangerang city is 1000 tons every day. With the high volume of waste produced, household waste management has become an important thing to do so that waste is not just thrown away in the landfill. Serdang Wetan Village, which is one of the villages supported by Multimedia Nusantara University, currently does not have a waste bank, so the aim of the current Community Development Program is to establish a Waste Bank in Serdang Wetan Village. The program began with household waste management training to housewives in Serdang Wetan Village, then continued to form a WhatsApp group as a medium of information and communication. Every 2 weeks, the residents bring their clean household waste to the waste bank. This program has succeeded in raising public awareness about sorting waste, reducing waste entering the landfill, eliminating the habit of burning waste, and also providing additional income for the Serdang Wetan Village-Owned Enterprise (BumDes).

Rancang Bangun Sistem Pemantau Ketersediaan Sabun dan Tisu pada Toilet Bandara Berbasis IoT Lestariningsih, Dwi Wahyu; Djajadi, Arko; Adhistian, Patria; Wibowo, Priyo
Jurnal Sains dan Teknologi Penerbangan Vol 1 No 01 (2024): Aviation Science and Technology Journal
Publisher : Politeknik Penerbangan Indonesia Curug

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54147/astj.v1i01.1024

Public toilets, especially at airports, play an important role in ensuring the comfort and cleanliness of traveling passengers. The unavailability of tissue and soap in toilets is often a problem at airports. This research aims to develop a soap and tissue monitoring system in airport toilets based on the Internet of Things (IoT) using Narrowband IoT (NB-IoT) technology and the Thingsboard platform. The prototype system for monitoring the availability of airport soap and toilet tissue was successfully created using an Arduino Nano, SIM7000C and was able to communicate with the Thingsboard via the MQTT protocol, making it possible to monitor the availability of sanitation facilities in real-time. The measurement results show that the device can operate well using an IMR 18650 battery for up to 27 hours. This system is able to provide information on the level of contents of soap containers and the capacity of available tissue along with its location. This research underlines the potential of IoT technology in overcoming the problem of unavailability of soap and tissue, aimed at increasing user comfort and maintaining the cleanliness of public facilities at airports.

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