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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.

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.

Analysis of Covid 19 Data in Indonesia Using Supervised Emerging Patterns Rahardja, Untung; Dewanto, Ignatius Joko; Djajadi, Arko; Candra, Ariya Panndhitthana; Hardini, Marviola
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1768

This research method uses CRISP-DM with emerging pattern supervision modeling and EPM Algorithm. The contribution of the research is to assist the Government in overcoming the problem of the spread of the COVID-19 cluster in several regions in Indonesia. The research aims to implement information on the COVID-19 data mining pattern in the DKI Jakarta area. The problems faced are the difficulty of identifying the pattern of COVID-19 data in one area, it is difficult to dig up data on the http://corona.jakarta.go.id website. It is not easy to decide on the handling of COVID-19. The output of the research results in a cluster of information on COVID-19 in the DKI Jakarta area based on Significance level depends on the Covid Map In terms of Region, Status, Gender, & age And Signification can be the basis for determining covid OTG, DTG, and Positive. The theoretical and practical implications can be stated as follows: The use of supervised emerging pattern methods can affect the processing of COVID-19 data. For 5 Regions in DKI Jakarta and distribution to determine covid OTG, DTG, and Positive. The result of the development of this data mining system is to produce pattern reports to produce Supervised Emerging Patterns technology for decision making at the COVID-19 Task Force in DKI Jakarta.

Produktivitas KWT Curug Kulon Melalui Adaptasi Teknologi Vertical Farming Modular Oktarina, Freta; Diana, Rahmi Elsa; Djajadi, Arko
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.21098

Background: The reduction of green open spaces (RTH) in Indonesia’s urban areas has led to declining environmental quality and reduced potential for local food security. Tangerang Regency, with only 0.0137% of its area classified as RTH, faces serious challenges in providing productive spaces for its residents. Curug Kulon Urban Village exemplifies this green space crisis, where limited land has not been optimally utilized by the Melati Women Farmers Group (KWT). This community engagement program aims to increase land productivity and empower the local community by implementing modular vertical farming technology, drip irrigation systems, technical training, digital marketing, and educational activities. Method: The implementation methods include Focus Group Discussions (FGDs), hands-on training, the construction of vertical farming systems, and digital marketing assistance. Results: The results indicate a significant increase in the capacity of KWT members: more than 80% can now independently operate vertical farming systems, water-use efficiency has improved, and product promotion through social media is beginning to develop. In addition to the increased capacity of KWT members, local residents have begun participating in vertical farming through open training sessions. Furthermore, the tiered farming area serves as a micro RTH and an environmental learning space for the surrounding community. Conclusion: This program demonstrates that integrating simple technology with social and digital empowerment strategies can serve as a replicable urban farming model to optimize RTH in densely populated urban areas while simultaneously strengthening community food security.

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