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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi JURNAL SISTEM INFORMASI BISNIS Jupiter Jurnal Teknik ITS IPTEK Journal of Proceedings Series Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika Journal of Information Systems Engineering and Business Intelligence Jurnal IPTEK Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Inspiration Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Jurnal Ilmiah FIFO Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Matrix : Jurnal Manajemen Teknologi dan Informatika Jurnal ULTIMA InfoSys Systemic: Information System and Informatics Journal Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Computer Science and Technology (JACOST) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Melek IT: Information Technology Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati
Siti Rochimah
Departemen Informatika Institut Teknologi Sepuluh Nopember
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
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.
Query expansion using novel use case scenario relationship for finding feature location Achmad Arwan; Siti Rochimah; Chastine Fatichah
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5501-5516

Abstract

Feature location is a technique for determining source code that implements specific features in software. It developed to help minimize effort on program comprehension. The main challenge of feature location research is how to bridge the gap between abstract keywords in use cases and detail in source code. The use case scenarios are software requirements artifacts that state the input, logic, rules, actor, and output of a function in the software. The sentence on use case scenario is sometimes described another sentence in other use case scenario. This study contributes to creating expansion queries in feature locations by finding the relationship between use case scenarios. The relationships include inner association, outer association and intratoken association. The research employs latent Dirichlet allocation (LDA) to create model topics on source code. Query expansion using inner, outer and intratoken was tested for finding feature locations on a Java-based open-source project. The best precision rate was 50%. The best recall was 100%, which was found in several use case scenarios implemented in a few files. The best average precision rate was 16.7%, which was found in inner association experiments. The best average recall rate was 68.3%, which was found in all compound association experiments.
Relationship between features volatility and bug occurrence rate to support software evolution Hadiningrum, Tiara Rahmania; Mardiana, Bella Dwi; Rochimah, Siti
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5381-5389

Abstract

Software evolution is an essential foundation in delivering technology that adapts to user needs and industry dynamics. In an era of rapid technological development, software evolution is not just a necessity, but a must to ensure long-term relevance. Developers are faced with major challenges in maintaining and improving software quality over time. This research aims to investigate the correlation between feature volatility and bug occurrence rate in software evolution, to understand the impact of dynamic feature changes on software quality and development process. The research method uses commit analysis on the dataset as a marker of bug presence, studying the complex relationship between feature volatility and bug occurrence rate to reveal the interplay in software development. Validated datasets are measured by metrics and correlations are measured by Pearson-product-moment analysis. This research found a strong relationship between feature volatility and bug occurrence rate, suggesting that an increase in feature changes correlates with an increase in bugs that impact software stability and quality. This research provides important insights into the correlation between feature volatility and bug occurrence rates, guiding developers and quality practitioners to develop more effective testing strategies in dynamic development environments.
Co-Authors ABDUL MUNIF Achmad Arwan Achmad Arwan Ahmadiyah, Adhatus Solichah Akbar, Fawwaz Ali Akbar, Rizky Januar Aldy Sefan Rezanaldy Alexander L. Romy Alirridlo, Maulana Alqis Rausanfita Amirullah, Afif Ana Tsalitsatun Ni'mah Andhik Ampuh Yunanto Andy Rachman Anggraini, Ratih Nur Esti Arifiani, Siska Arini R. Rosyadi Arrijal Nagara Yanottama Bagus Priambodo Balqis Hidayat, Sultana Bambang Jokonowo Bayu Priyambadha Bayu Priyambadha Bintang Nuralamsyah Butar Butar, Thio Marta Elisa Yuridis Chastine Fatichah Choiru Zain Daniel Oranova Daniel Oranova Siahaan Darlis Heru Murti Darlis Herumurti Denni Aldi Ramadhani Denni Aldi Ramadhani Denni Aldi Ramadhani Diana Purwitasari Dianni Yusuf Dimas Widya Liestio Pamungkas Dini Adni Navastara, Dini Adni Diniar Nabilah Ghassani Djoko Pramono Dwi Sunaryono Dyah Sulistyowati Rahayu Eko M. Yuniarno Eko Wahyu Wibowo Endang Wahyu Pamungkas Evi Triandini F.X. Arunanto Faizal Johan Fernandes Sinaga Galang Amanda Dwi P. Hadiningrum, Tiara Rahmania Haniefardy, Addien Haq, Arinal Hengki Suhartoyo Hidayatul Munawaroh I Gede Suardika Imam Kuswardayan Jan Claes Karolita, Devi Khairy, Muhammad Shulhan Kholed Langsari Kurniasari, Dias Tri Kurniawan, Adi Kusbandono Ari Bowo Laili Yuhana, Umi Lesmideyarti, Dwi Lukman Hakim Lutfi Rizal Gozali Mardiana, Bella Dwi Mardianto, Ricky Mauridhi Hery Purnomo Mohammad Ahmaluddin Zinni, Mohammad Ahmaluddin Montolalu, Billy Muhammad Iskandar Java Muhammad Sonhaji Akbar Muhammad Yusuf Muhsin Bayu Aji Fadhillah Mutia Rahmi Dewi Nisa, Maidina Choirun Nugroho, Supeno Mardi S. Nur Fajri Azhar Nuralamsyah, Bintang Oranova, Daniel Pamungkas, Dimas Widya Liestio Pertiwi, Kharisma Monika Dian Pradanita, Windy Rahmadia Prasetyo Putri, Divi Galih Quinevera, Stefanie R. Firman Insan M. Rachman, Andy Rahmi Ika Noviana Ratih Nindyasari Relaci Aprilia Istiqomah Reza Fauzan Ridho Rahman Hariadi Ridwan, Mochammad Arief Riyanarto Sarno Rizky Januar Akbar Santoso, Bagus Jati Saptarini, Istiningdyah Sarwosri Sarwosri Sarwosri Sarwosri, - Septiyawan Rosetya Wardhana Setiawan, Wahyu Fajar Siska Arifiani Steven Joses Suhadi Lili Suhadi Lili Supeno Mardi S. Nugroho Tahara, Enrico Almer Tampubolon, Andrew Lomaksan Manuel Ulima Inas Shabrina Vico Ade Candra Widyanti Kartika Windy Rahmadia Pradanita Yanuar Risah Prayogi Yuhana, Umi Laili Yulvida, Donata Yuniarno, Eko M. Yusuf, Dianni Zulhaydar Fairozal Akbar