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Widodo, Agung Mulyo
Universitas Esa Unggul
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Analisis dan Design Knowledge Management System pada PT XYZ dengan Menggunakan Metode Tiwana Alexander, Alexander; Firmansyah, Gerry; Tjahjono, Budi; Mulyo Widodo, Agung; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 8 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i8.4686

Abstract

Dalam dunia bisnis, keberlangsungan dan pertumbuhan suatu perusahaan sangat dipengaruhi oleh kualitas sumber daya manusia (SDM) atau karyawan yang dimiliki, karyawan yang kompeten dan memiliki wawasan pengetahuan yang luas dianggap sebagai aset penting yang dapat menjadi pembeda utama antara perusahaan dengan para pesaingnya. Maka dari itu, perusahaan biasanya berinisiatif untuk melakukan berbagai macam program pelatihan dan pengembangan yang bertujuan untuk meningkatkan kemampuan dan pengetahuan karyawannya secara berkelanjutan, hal lain yang dapat dilakukan oleh perusahaan adalah dengan mengelola pengetahuan dari karyawannya melalui sebuah tools yaitu Knowledge Management System (KMS). Sebagai perusahaan konsultan properti terkemuka dengan jaringan global yang luas, PT XYZ memiliki komitmen untuk dapat mengembangkan pengetahuan karyawannya, PT XYZ selalu berupaya untuk menciptakan lingkungan kerja yang mendukung pertumbuhan pengetahuan, terutama bagi karyawan di bidang Information and Technology (IT). Penelitian ini menggunakan metode Tiwana yang dilakukan hingga tahapan ke-6 dari 10 tahapan yang ada, dengan tujuan penelitian untuk menghasilkan blueprint sebagai landasan untuk merancang KMS yang sesuai dengan kebutuhan perusahaan. Adapun hasil dari penelitian ini adalah sebuah blueprint rancangan KMS.
Comparative Performance of Learning Methods In Stock Price Prediction Case Study: MNC Corporation Khairurrahman, Rifqi; Firmansyah, Gerry; Tjahjono, Budi; Mulyo Widodo, Agung
Asian Journal of Social and Humanities Vol. 2 No. 5 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i5.252

Abstract

Shares are a popular business investment, the development of information technology now allows everyone to buy and sell shares easily online, investment players, both retail and corporate, are trying to make predictions. The purpose of this study is to find out comparative performance of learning methods in stock price prediction. There are currently many research papers discussing stock predictions. using machine learning / deep learning / neural networks, in this research the author will compare several superior methods found in the latest paper findings, including CNN, RNN LSTM, MLP, GRU and their variants. From the 16 result relationships and patterns that occur in each variable and each variable is proven to show its respective role with its own weight, in general we will summarize the conclusions in chapter V below, but in each analysis there are secondary conclusions that we can get in detail. The variable that has the most significant effect on RMSE is variable B (repeatable data) compared to other variables because it has a difference in polarity that is so far between yes and no. The configuration of input timestep (history)=7 days and output timetep (prediction)=1 day is best for the average model in general.
Analysis of Knowledge Management Strategies for Handling Cyber Attacks with the Computer Security Incident Response Team (CSIRT) in the Indonesian Aviation Sector Dwiaji, Lingga; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahyono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 6 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i6.261

Abstract

Cyber attacks are one of the genuine threats that have emerged due to the evolution of a more dynamic and complex global strategic environment. In Indonesia, several cyber attacks target various government infrastructure sectors. The National Cyber and Crypto Agency (BSSN) predicts Indonesia will face approximately 370.02 million cyber attacks in 2022. The majority of cyber attacks target the government administration sector. The National Cyber and Crypto Agency (BSSN) officially formed a Computer Security Incident Response Team (CSIRT) to tackle the rampant cybercrime cases. CSIRT is an organization or team that provides services and support to prevent, handle, and respond to computer security incidents. The current CSIRT does not have a data storage process and forensic preparation. CSIRT will repeat the procedure, and so on. This is a repeating procedure; the attack will occur once, and only a technical problem will arise. Therefore, the research entitled "Analysis of Knowledge Management Strategies for Handling Cyber Attacks with the Computer Security Incident Response Team (CSIRT)" is expected to implement this Knowledge Management Strategy to manage existing knowledge so that it can make it easier for the CSIRT team to handle cyber attacks that occur.
Assessment of the level of student understanding in the distance learning process using Machine Learning Widiasti, Adilah; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 6 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i6.272

Abstract

As technology develops, data mining technology is created which is used to analyse the level of understanding of students. This analysis is conducted to group students according to their ability to understand and master the subject matter. This research can provide guidance and insight for educators, as well as artificial intelligence, machine learning, association techniques, and classification techniques. Researchers and policymakers are working to optimise learning and improve the quality of student understanding. This study aims to analyse the level of student understanding in simple and structured terms. Using the Machine learning method to analyse the level of student understanding has the potential to impact the quality of education significantly. In addition, machine learning categories are qualified to be applied to the concept of data mining. The data mining techniques used are association and classification. Association techniques are used to determine the pattern of distance student learning. The following process of classification techniques is used to determine the variables to be used in this study using the Logistic Regression model where data that have been classified are grouped or clustered using the K-Means algorithm into three, namely the level of understanding is excellent, sound, and lacking, based on student activity, assignment scores, quiz scores, UTS scores, and UAS scores.
Evaluation of IT Service Level Infrastructure In Organizations Using ITIL (Information Technology Infrastructure Library) Version 3 Standardization Randhy Hans, Achmad; Firmansyah, Gerry; Tjahyono, Budi; Mulyo Widodo, Agung
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.393

Abstract

The rapid development of business and advancements in information technology today are highly significant, especially in supporting the progress of ongoing businesses. Many businesses, particularly startups, make information technology the backbone supporting every main business process to achieve their business goals. Startups that operate 24/7 require sufficiently robust information technology, which must always be ready to provide the needed services to support the business. IT service assessment is an activity commonly carried out within an organization to eval_uate the level of information system services it possesses. An assessment, particularly an IT service assessment, can be conducted independently if the organization has adequate tools and is equipped with the correct standards. The eval_uation of information system services can be carried out using various standards, such as ITIL. In this research, the researcher will conduct an assessment using ITIL standards in the form of a website, which can serve as a tool. This website assessment application focuses on the domains of Service Management and Service Delivery, with the expectation that the services provided by PT Loyal.id will improve further.
Analysis of Information Technology Proficiency Levels For Academic Services Using The Cobit 2019 Framework: Case Study of SMP Negeri 102 Jakarta Meiharsiwi, Ismiyati; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.394

Abstract

This research intends to analyze the level of capability of information technology (IT) in academic services at SMP Negeri 102 Jakarta using the COBIT 2019 framework. The background of this research is the important role of information technology in increasing the efficiency and effectiveness of the learning process in educational institutions. COBIT 2019 was chosen as a framework because it is a best practice in IT governance that can help institutions achieve their strategic goals. This research focuses on the IT governance process implemented at SMP Negeri 102 Jakarta, the maturity level of existing information system governance, and recommendations for improving IT governance. The case study method is used with limitations on the domain within Align, Place and Organize (APO) 09 dan Deliver, Service and Support (DSS) 01 the COBIT 2019 framework. Research findings show that IT governance at SMP Negeri 102 Jakarta is at a certain level of capability that needs to be improved. This research provides recommendations for improving academic services through improving IT governance. It is hoped that the results of this research can become a reference in determining IT policies at SMP Negeri 102 Jakarta and contribute to the development of knowledge in the field of information technology governance.
Risk Management Analysis On The School Activity Plan And Budget Application Information System (ARKAS) Using Cobit 2019 Fernandes Gamaliel, Adhi; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.396

Abstract

In the era of globalization and the advancement of information technology, the application of information technology is an important need for educational institutions, including schools. This research focuses on the implementation of the School Activity Plan and Budget Application Information System (ARKAS) at the Palu Safety Center Christian Vocational School to increase efficiency and effectiveness in planning and managing school activities and budgets. However, the implementation of ARKAS is inseparable from various risks that can affect the effectiveness and success of the system. Therefore, risk management analysis is essential to ensure that all potential risks can be identified, analyzed, and minimized. This study uses the COBIT 2019 framework to manage risks in the application of information technology in schools. The study identifies challenges such as resistance to change, resource limitations, and information security risks. This study aims to explore how the implementation of ARKAS in the Palu Safety Army Christian Vocational School can be optimized through risk management analysis using the COBIT 2019 framework. The results of the study show that the use of COBIT 2019 can help in identifying and managing risks effectively, so that the implementation of ARKAS can run more efficiently and transparently. The resulting recommendations are expected to improve the quality of school budget management and become a reference for other schools that face similar challenges in the application of information technology.
Comparison of Djikstra, Hybrid-PSO algorithms for optimizing the distribution route of papaya seeds and honey products (Case Study: PT. Agro Apiari Mandiri) Gunawan, Sholeh; Mulyo Widodo, Agung; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.398

Abstract

Dynamic global competencies in the industrial sector drive fierce competition in capturing markets and increasing customer satisfaction, which requires efficiency in various aspects of business including distribution. PT. Agro Apiari Mandiri faces challenges in optimizing delivery routes to avoid delays. This study aims to compare the Dijkstra and Hybrid-PSO algorithms to determine the optimal distribution route in the Bogor, West Java, and Lebak, Banten regions, in order to reduce the distance and delivery time. The research methods include literature study, data collection, and route optimization model creation. The results show that PSO is more efficient in optimizing delivery routes than other methods, with variations in PSO parameters affecting total travel time, number of vehicles, and computing time. Implementation uses hardware and software such as MSI Laptops and Matlab. In conclusion, the use of PSO in distribution route optimization makes a significant contribution to the company's cost and distribution efficiency and can be a reference for further research in distribution route optimization.
Optimization of Electronic-Based Government System Architecture (SPBE) In The Application Architecture Domain In XYZ District Lisdiana, Lisdiana; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.405

Abstract

The Electronic-Based Government System (SPBE) is a government administration that utilizes information and communication technology to provide services to SPBE Users as stipulated in Presidential Regulation No. 95 of 2018. SPBE aims to create an integrated government business process between Central Agencies and Regional Governments, form a complete government unit and produce bureaucracy and high-performance public services. To support the implementation of SPBE, the National SPBE architecture is compiled as a detailed guide that covers technical and methodological aspects, ensuring the integration of government electronic systems. This architecture provides convenience in increasing efficiency and effectiveness, as well as being a guide for SPBE governance in Central Agencies and Regional Governments. The XYZ Regency Government has implemented the SPBE architecture as the basis for implementation in its area. This study analyzes the SPBE architecture in XYZ Regency based on the National SPBE architecture to provide optimization recommendations on the application architecture domain. Despite the existence of Presidential Regulation Number 95 of 2018 and Number 132 of 2022, the preparation of government architecture in Indonesia still faces challenges due to the lack of clear guidance. More detailed references are needed as derivatives of existing regulations to ensure consistent and optimal implementation, help agencies understand and implement the SPBE architecture, so that digital transformation towards Indonesia 4.0 is achieved by 2040.
Drug Stock Optimization at Hospital Depot Using Shuffle Frog Leaping Algorithm (SFLA) Ghazalba, Annazma; Mulyo Widodo, Agung; Tjahjono, Budi; Firmansyah, Gerry
Asian Journal of Social and Humanities Vol. 2 No. 11 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i11.409

Abstract

Optimal, efficient, and accurate drug stock management at hospital depots is crucial for ensuring the smooth operation of medical and operational services. Therefore, the use of machine learning is currently essential for managing drug stocks at hospital depots more optimally. This optimization process involves stages such as data collection, data pre-processing, attribute selection, data labeling, classification algorithm selection, model training, model eval_uation, and result interpretation. The data used in this research includes information on drug stocks at hospital depots with details on drug items, quantities, prices, depot origins, demand trends, and types of transactions. The aim of using these algorithms is to classify drug stock items into categories such as "sufficient," "deficient," and "excess" based on historical data patterns and relevant attributes. Model eval_uation is carried out by comparing classification results with actual data and measuring eval_uation metrics such as accuracy, precision, recall, and F1-score. It is hoped that the classification results will indicate the need for optimization in the previously implemented algorithms and provide new solutions for managing drug stocks at hospital depots. The Shuffle Frog Leaping algorithm (SFLA) implemented will help drug stock management staff identify demand patterns more optimally, efficiently, and accurately. Thus, this research has the potential to make significant contributions to optimizing drug stock management and decision-making at hospital depots, which will also positively impact the progress of hospital services.
Co-Authors Achmad Fansuri Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agam Aprianto Ahmad Musnansyah Ahmad Mutedi Akbar, Habibullah Alexander Alexander, Alexander Alivia Yufitri Andriana, Dian Annazma Ghazalba Arif Pami Setiaji Arisandi Langgeng Tardiana Asmara, Qiqi Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budi Tjahjono Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Budilaksono, Sularso Cahya Darmarjati Catur Agus Sulistyo Deni Iskandar Deni Iskandar Desy Prastyani Doni Antoro Dulbahri Dulbahri Dwiaji, Lingga Dwiputra, Dedy Eko Prasetyo Endang Ruswanti Erry Yudhya Mulyani Ety Nurhayati Euis Heryati Fadlilatunnisa, Fanny Fatonah, Nenden Siti Fernandes Gamaliel, Adhi Fikri Saefullah Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang Romadhanu Tartila Gunawan, Sholeh Gusti Fachman Pramudi Hadi, Muhammad Abdullah Hani Dewi Ariessanti Hartono Hartono Haryoto, Iin Sahuri Hendaryatna Hendaryatna Hendry Gunawawan Heri Wijayanto I Gede Pasek Suta Wijaya Ichwani, Arief Ilham Banuaji Irawan, Bambang Ismiyati Meiharsiwi Iwan Setiawan Izhar Rahim Joniwan Joniwan Karisma Trinanda Putra kartini, kartini Kevin Valeri Khairurrahman, Rifqi Krisogonus Wiero Baba Kaju Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kus Hendrawan Muiz Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana Lukman Cahyadi Made Aka Suardana Martin Saputra Massie, Julius Ivander Maulana, Syaban Meiharsiwi, Ismiyati Meria, Lista MF. Arrozi Adhikara Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Hadi Arfian Mutedi, Ahmad Muttaqin, Naufal Hafizh Nina Nurhasanah, Nina Nindyo Artha Dewantara Wardhana Nixon Erzed Nizirwan Anwar Nugraha, William Nurfilael, Gagas Nurfilae Panji Ramadhan Yudha Putra Hadjarati Pratama, Fajar Prayitno Purwano SK Rachman, Riyandi Patu Rahaman, Mosiur Randhy Hans, Achmad Restamauli br Nainggolan Rian Adi Pamungkas Ricky Salim Ricky Salim Rifqi Khairurrahman RILLA GANTINO Riris Septiana Sita Dewi Rizki Faro Khatiningsih Rizky Aulia Roesfiansjah Rasjidin Ryan Putra Laksana Sholeh Gunawan Simorangkir, Holder Suhendry, Mohammad Roffi Sunardi, Sunardi Syaban Maulana Syamsul Bahri Tyara Regina Nadya Putri Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Vitri Tundjungsari Wahid Abdul Azis Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah William Nugraha Wisnujati, Andika Yanathifal Salsabila Anggraeni Yessy Oktafriani Yohanes Bagas Ari Widatama Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri