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All Journal International Journal of Electrical and Computer Engineering Telematika : Jurnal Informatika dan Teknologi Informasi Journal of Information Systems Engineering and Business Intelligence Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Electrical Engineering and Computer Science NEAR: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat Nasional Journal Collabits
Bambang Jokonowo
Universitas Mercu Buana
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Nursing Public Health Social Sciences Transportation Other

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Process Mining in Supply Chains: A Systematic Literature Review Bambang Jokonowo; Jan Claes; Riyanarto Sarno; Siti Rochimah
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (18.006 KB) | DOI: 10.11591/ijece.v8i6.pp4626-4636

Abstract

Performance analysis and continuous process improvement efforts are often supported by the construction of process models representing the interactions of the partners in the supply chain. This study was conducted to determine the state of the art in the process mining field, specifically in the context of cross-organizational process. The Systematic Literature Review (SLR) method is used to review a collection of twenty-one papers that are classified according to the Artifact framework of Hevner, et al. and within the Process Mining framework of Van der Aalst. In the reviewed papers, the authors conducted a variety of techniques to establish the event log, which is then used to perform the process mining analysis. Eight of the reviewed papers focus on the definition of concepts or measures. Five of the papers describe models and other abstractions that are used as a theoretical basis for process mining in the context of supply chains. The majority twenty of papers describe some kind of informal method or formal algorithm to perform process mining analysis. Nine of the papers that propose a formal algorithm also present an accompanying software implementation. Eight papers discuss the data preparation challenges and twelve papers discuss process discovery techniques.
Conformance Checking of Dwelling Time Using a Token-based Method Bambang Jokonowo; Nenden Siti Fatonah; Emelia Akashah Patah Akhir
Journal of Information Systems Engineering and Business Intelligence Vol. 7 No. 2 (2021): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.7.2.129-137

Abstract

Background: Standard operating procedure (SOP) is a series of business activities to achieve organisational goals, with each activity carried to be recorded and stored in the information system together with its location (e.g., SCM, ERP, LMS, CRM). The activity is known as event data and is stored in a database known as an event log.Objective: Based on the event log, we can calculate the fitness to determine whether the business process SOP is following the actual business process.Methods: This study obtains the event log from a terminal operating system (TOS), which records the dwelling time at the container port. The conformance checking using token-based replay method calculates fitness by comparing the event log with the process model.Results: The findings using the Alpha algorithm resulted in the most traversed traces (a, b, n, o, p). The fitness calculation returns 1.0 were produced, missing, and remaining tokens are replied to each of the other traces.Conclusion: Thus, if the process mining produces a fitness of more than 0.80, this shows that the process model is following the actual business process. Keywords: Conformance Checking, Dwelling time, Event log, Fitness, Process Discovery, Process Mining
Perbandingan Model Proses Algoritma Alpha dan Alpha++ Pada Aplikasi E-commerce Bambang Jokonowo; Miskah Alfiyyah Kulsum; Nita Komala
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 1 (2022): Februari 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.934 KB) | DOI: 10.29207/resti.v6i1.3732

Abstract

Utilization of information technology is currently growing rapidly in helping activities especially in storing an event log. The activity which is behavior of the user can be analyzed using process mining. The process mining purpose to extract information from event logs on business processes that working. Discovery technique is used in this research. The purpose of this study is to compare two algorithms applied by creating an e-commerce application that is aware of the processes. E-commerce applications require event logs to read the behavior of visitor activities against the application. This research method starts from understanding the business processes that working, then designing a website by creating the application used. Furthermore, data collection through applications that are promoted through social media. The application will be recorded user activity and formed an event log. The event log that formed then discovered using alpha and alpha++ algorithms by utilizing the ProM Lite 1.2 tools. The evaluation results show that the alpha algorithm has shortcomings, namely length one loop, length two loop and non-free choice. And the alpha++ algorithm fixed this deficiency.
Process Mining: Measuring Key Performance Indicator Container Dwell Time Bambang Jokonowo; Riyanarto Sarno; Siti Rochimah; Bagus Priambodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp401-411

Abstract

The issues measures duration of stay the container logistic processes at ports in developing countries is often a major problem. Therefore, a knowledge process discovery, i.e., Heuristics Miner and Fuzzy Miner, can be used to discover the insight of process by creating a process model. The container import dwell time (DT) processes can be modeled based on the event log data sources are extracted from the terminal operating system (TOS). The L* life-cycle model is used to perform the process behavior analysis steps. The results of analysis and verification show that the container import DT processes have a median duration of 5.5 days and a mean duration of 6.07 days.
Sosialisasi Portal Belajar Daring Kemdikbud Untuk Meningkatkan Motivasi Belajar Anak di Masa Pandemi COVID-19 Ruci Meiyanti; Bayu Waseso; Bambang Jokonowo
NEAR: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2022): NEAR
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/nr.v1i2.452

Abstract

Abstrak Pada masa pandemi COVID-19 dan pemulihannya, kegiatan belajar mengajar belum sepenuhnya berjalan normal. Siswa masih diharuskan untuk lebih banyak belajar dari rumah secara online dan mandiri. Untuk itu pemerintah melalui kemdikbud telah menyediakan portal pembelajaran yang menyediakan bahan belajar serta fasilitas komunikasi pendukung interaksi belajar siswa dengan media online maupun komunitas di dunia maya. “Rumah Belajar” hadir sebagai bentuk inovasi pembelajaran di era kemajuan industri 4.0 dan pandemi COVID yang berkepanjangan yang dapat dimanfaatkan oleh siswa dan guru Pendidikan Anak Usia Dini (PAUD), Sekolah Dasar (SD), Sekolah Menengah Pertama (SMP), Sekolah Menengah Atas/Kejuruan (SMA/SMK) sederajat. Dengan menggunakan Rumah Belajar, kita dapat belajar di mana saja, kapan saja dengan siapa saja. Seluruh konten yang ada di Rumah Belajar dapat diakses dan dimanfaatkan secara gratis. Tujuan pengabdian kepada masyarakat ini adalah melakukan sosialisasi mengenai portal Rumah Belajar dari kemdikbud kepada ibu-ibu PKK warga Meruya Utara untuk memotivasi putra/putri mereka ketika belajar di rumah. Hasil dari sosialisasi Pengabdian Pada Masyarakat (PPM) ini menunjukkan bahwa setelah portal tersebut diperkenalkan dan dieksplorasi maka nilai prosentasi pemahaman dan penggunaan portal “Rumah Belajar” semakin menigkat.
Process Mining Dwelling Time at the Container Port using the Alpha Miner Method Rivalno Firmansyah; Herdy Riyaldy; Bambang Jokonowo
SISTEMASI Vol 11, No 3 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v11i3.1501

Abstract

The problem of measuring the dwelling time of the container logistics process at ports in developing countries is often a major problem. Therefore, process mining as a field of data science that focuses on analyzing event log data is used to perform business process analysis. In process mining, the process is a sequence of events or activities that are carried out to achieve certain goals. Event logs help an organization to find gaps between the designed business processes and the reality of the processes that occur. In this study PM4PY as a python library is used to perform process mining techniques. The results of the fitness calculation in this study indicate that the container logistics business process model is close to 0.99.
PEMANFAATAN GOOGLE DRIVE SEBAGAI MEDIA PENCATATAN INVENTARIS DI KELURAHAN PONDOK KACANG TIMUR Nenden Siti Fatonah; Bambang Jokonowo; Saruni Dwiasnati
PEMANAS: Jurnal Pengabdian Masyarakat Nasional Vol 1, No 1 (2021)
Publisher : PEMANAS: Jurnal Pengabdian Masyarakat Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v1i1.13625

Abstract

Saat ini banyak perusahaan, organisasi, lembaga pemerintah, atau lembaga lain yang menggunakan media elektronik dalam  pengelolaan  dokumen  dan  pengarsipan  yang  dimilikinya. Google Drive (Gdrive) adalah salah satu layanan dari Google yang berfungsi sebagai tempat penyimpanan secara online berbasis internet atau Cloud. Layanan ini dibuat dikarena tuntutan kondisi saat ini dimana banyak orang yang membutuhkan untuk mengakses data dimanapun, kapanpun, dan dengan laptop, smartphone, maupun tablet. Google drive yang saat ini banyak digunakan, memiliki banyak fungsi yang bisa membantu seseorang saat menyimpan data dan melakukan aktifitas lainnya. Fungsi dari Google Drive sendiri adalah untuk menyimpan data dan untuk membuat lembar kerja atau spreadsheet baru dan juga mengedit data yang diakses atau dibuat dari aplikasi lainya. Google drive juga memiliki menu untuk membuat slide presentasi yang bisa diakses kapan saja.dan dapat diedit bersamaan tetapi harus online. Pengabdian Masyarakat yang kami lakukan bersama-sama berguna untuk membantu dalam memanfaatkan informasi mengenai pencatatan inventaris yang dimiliki oleh kelurahan pondok kacang timur yang dapat di gunakan menggunakan Google Drive sebagai bentuk untuk membuat inventaris yang di miliki oleh kelurahan pondok kacang timur dapat tercatat dengan baik dan dapat diketahui berapa saja yang dimiliki untuk memudahkan jika diminta laporan pertanggung jawabannya. Hasil yang dilakukan dari pengabdian masyarakat ini adalah memanfaatkan informasi yang telah didapatkan setelah dilakukan pengolahan data yang ada adalah sebagai laporan pertanggung jawaban setiap tahunnya.
Improving E-commerce Experience with Django Framework Jokonowo, Bambang; Mubarak, Roy; Cherid, Annis; Rivai, Adriean Baihaqi; Ahmad, Rijalul Awal
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27237

Abstract

The Rise of Django Framework in Ecommerce Development: A Comprehensive Guide The advent of the digital era has triggered an unprecedented surge in e-commerce platforms, necessitating robust frameworks for their development. In this landscape, Django emerges as a key player, offering a comprehensive solution for building scalable and efficient online shopping environments. This paper delves into the utilization of Django Framework in creating e-commerce platforms that align with the evolving needs of modern businesses and consumers. Adopting a practical approach, we explore how Django integrates with core e-commerce functionalities such as inventory management, payment processing, and user analytics. We emphasize the importance of seamlessly blending Django's advanced features with e-commerce tools to ensure a smooth and efficient shopping experience. We showcase the success of our approach in crafting an e-commerce website that is efficient, reliable, and adaptable to the dynamic shifts of the business landscape. Our findings highlight the pivotal role of Django Framework in providing a sturdy foundation for developing successful and responsive e-commerce platforms in the rapidly evolving digital era. Through a combination of theoretical insights and practical applications, this paper provides valuable insights for developers and businesses alike who seek to optimally leverage Django Framework in optimizing e-commerce business success. In essence, our research confirms the enduring relevance and effectiveness of Django in driving efficiency and innovation within the realm of online commerce.
Implementation of the Random Forest algorithm to predict rice needs in DKI Jakarta Santoso, Hadi; Hakim, Lukman; Afiyati, Afiyati; Jokonowo, Bambang
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.12850

Abstract

Purpose : to build collaborative partners between government institutions and universities in food processing, especially rice, by predicting rice needs in the DKI Jakarta area.Design/methodology/approach:The approach in this research uses the Random Forest algorithm which functions to predict rice needs in the DKI Jakarta area.Results: rice demand prediction application with evaluation values Mean Squared Error 207.86, Mean Absolute Error 9.43, MAPE 0.048, Root Mean Squared Error 14.4, accuracy 0.63Originality/value/state of the art:research using data from BAPANAS, Cipinang Main Market, with 2 datasets of rice stock, population, year and rice consumption using a random forest algorithm to predict rice needs in the DKI Jakarta area 
FILE SEARCH ON AN FTP SERVER USING THE FUZZYWUZZY METHOD AND THE DFS ALGORITHM Syuhur, Naufal Saidhus; Jokonowo, Bambang; Wijaya, Agil Dwiki
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25561

Abstract

The Depth-First Search (DFS) algorithm can be used to search for files on an FTP server. The fuzzywuzzy method can be applied to perform fuzzy string matching for the file names. To implement this, one can establish a connection to the FTP server using a programming language that supports FTP operations, retrieve the file listings using DFS, apply fuzzy matching to the file names, and retrieve the matching files. The fuzzywuzzy method is a string matching library that uses the Levenshtein Distance to calculate the differences between sequences. While there are no specific examples of using DFS with fuzzywuzzy on an FTP server, the general approach can be implemented using ftplib in Python for FTP operations and the fuzzywuzzy library for fuzzy string matching.
Co-Authors Afiyati, Afiyati Ahmad, Rijalul Awal Bagus Priambodo Bayu Waseso Cherid, Annis Emelia Akashah Patah Akhir Hadi Santoso Herdy Riyaldy Jan Claes Lukman Hakim Miskah Alfiyyah Kulsum Nenden Siti Fatonah Nenden Siti Fatonah Nita Komala Rivai, Adriean Baihaqi Rivalno Firmansyah Riyanarto Sarno Ruci Meiyanti Saruni Dwiasnati Siti Rochimah Syuhur, Naufal Saidhus Wijaya, Agil Dwiki