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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Scientific Journal of Informatics Jurnal Kajian Informasi & Perpustakaan SMATIKA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Abdimas Dewantara CAPITAL: JURNAL EKONOMI DAN MANAJEMEN REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Soft Computing Exploration Journal of Advances in Information Systems and Technology Scientific Journal of Informatics Ulil Albab Journal of Advances in Information Systems and Technology Recursive Journal of Informatics
Budiman, Kholiq
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Social Sciences Other

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Journal : Journal of Soft Computing Exploration

 1 
Improvement business process model and notation on the drink distribution industries using six core element Khoirunnisa, Oktaria; Pertiwi, Dwika Ananda Agustina; Dianti, Erika Noor; Fattah, Ahmad Maulana Malik; Budiman, Kholiq
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.46

Abstract

The development of distribution and market segmentation has become the company's background in improving business processes. The purpose of this research is to analyze the business processes of beverage companies using Business Process Management (BPM) modeling and improvised based on six core element management. In the analysis process, it is found that there is no stock forecasting system in forecasting sales stock that must be fulfilled. The results of the study show that the Business Process Management model is improved with the addition of a stock forecasting system, so that business processes become more controlled with the presence of a product stock inventory forecasting system in the company.
Analysis of earthquake forecasting using random forest Budiman, Kholiq; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.51

Abstract

The subject of forecasting earthquakes is an intriguing one to investigate. As a natural calamity, earthquakes continue to be devastating, not just to the economy but also to the lives of individuals. This gave rise to the concept of creating an early warning system against seismic catastrophes to minimize deaths. Researchers have been making earthquake forecasts and seismic hazard ratings of a location for a few years now. In this work, we attempt to forecast earthquakes before they occur using p-arrival data, which includes information on disaster arrival time and amplitude height from the arrival station. Several studies on earthquake prediction have been carried out so far and have developed and used the Random Forest method and one of the Machine Learning. According to [1], the process of predicting earthquakes has been studied for a long time, but there is still uncertainty due to the diversity and complexity of the earthquake phenomenon itself. According to [2], conducting a random forest prediction model to identify the structural safety status of buildings damaged by the earthquake is probabilistic. An earthquake's latitude, longitude, magnitude, and depth may be predicted using the random forest algorithm. A random forest with multioutput technique is employed, with variables being each station's recorded value and geographic position. This study's predictions were accurate to within 63 percent.
Co-Authors Achmat Sodikkun Afif Amirullah Ahmad Mundzir Aji Purwinarko, Aji Akbar, Bintang Faisal Akhmad Munawar Alfat Mutoriq Ali Djamhuri Alya Aulia Nurdin Amin Pujiati Amin Retnoningsih Amirullah, Afif Arif Widiyatmoko, Arif Asharinnisa Salsabila Bambang Sugiantoro Dianti, Erika Noor Efdika, Muhamad Fadil Efrilianda, Devi Ajeng Fattah, Ahmad Maulana Malik Fitri Arum Sasi, Fitri Arum Habibah, Berlian Ummu Hartono, Rudi Haryanti, Unik Slamet Izdiharsant, Almaas Karmesti, Danissa Wirna Khoirunnisa, Oktaria Mahargjo Hapsoro Adi Muhammad Rizki Ramadhan Muhammad Wildan Yasykur Mundzir, Ahmad Nurdin, Alya Aulia Pasha, Rasikh Khalil Pertiwi, Dwika Ananda Agustina Pramesti, Pricilia Intan Pricilia Intan Pramesti Putra Perdana, Muhamad Riza Firmansyah Sarmini Satrio Ardiansyah, Adi Slamet Kafrawi suprih murdyantara Unik Slamet Haryanti Usman, Sahda Armandiva Wahyu Hardyanto Widi Widayat Widi Widayat Yahya Nur Ifriza Yogiana Marta Dewi