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All Journal REKAYASA Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Journal of Information Systems and Informatics Jurnal Bumigora Information Technology (BITe) International Journal of Educational Management and Innovation (IJEMI) International Journal of Social and Management Studies (IJOSMAS) Djtechno: Jurnal Teknologi Informasi Asean Journal of Science and Engineering (AJSE) International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Jurnal Impresi Indonesia Internet of Things and Artificial Intelligence Journal MAP (Jurnal Manajemen dan Administrasi Publik)
Suharjo, Bambang
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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SUSTAINABILITY OF EDUCATION IN POST-PANDEMIC: CHALLENGES AND OPPORTUNITY Wibawa, Aria Cakra; Suharjo, Bambang
International Journal of Educational Management and Innovation Vol 2, No 3 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijemi.v2i3.3906

Abstract

The pandemic around the world has been going on for more than a year. A major impact in education has been the change from conventional education to online information technology-based education. After the pandemic, it was necessary to plan the educational model that was carrying out. To examine the educational model in the Indonesian Navy after the pandemic, a combination of SWOT - AHP will be carried out. The research subjects included five middle-ranking officers in the Indonesian Navy educational institution and the Indonesian Navy Education Office. The result of the research is that the Indonesian Navy needs to integrate the online-based education model with face-to-face education. Online-based education, especially in theory and face-to-face learning in the discussion model, workgroup, and teamwork in military team formations, platoons, company, battalion, and skills training in using the equipment. The global strategy compiled is an intensification of the combination of online and offline learning with an increasingly advanced educational information system, combining teaching materials and being equipped with increasingly qualified teaching staff from within the Indonesian Navy and others to improve Indonesian Navy education while maintaining system security and improve HR capabilities in the IT field by collaborating with other relevant agencies
Sinergitas Kementerian dan Lembaga dalam Mengantisipasi Konflik di Laut China Selatan Setiowati, Renny; Jati, Sundring Pantja; Widodo, Puji; Suharjo, Bambang
Rekayasa Vol 14, No 3: Desember 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i3.12577

Abstract

The South China Sea is one of the epicenters of conflict in the 21st century. The South China Sea area includes waters and land located in the archipelago of two large islands, namely the Spratlys and Paracels, as well as the banks of the Macclesfield and Scarborough Reef Rivers which stretch from Singapore, from the Malacca Strait to the Taiwan Strait. As this vast territory has often been subjected to successive control by neighboring rulers, several countries, such as the People's Republic of China (PRC), Taiwan, Vietnam, the Philippines, and Brunei Darussalam, have engaged in confrontational attempts to claim, over large parts of the entire territory. . While on the one hand Indonesia supports the prospect of peace in the South China Sea for economic development and domestic stability, Indonesian policymakers are concerned about China's interpretation of its South China Sea claims, which also includes reserves of natural gas and other natural resources. inside it. On the other hand, Indonesia is committed to defending the rights of the archipelagic state as stated in UNCLOS.
The Development of Intelligent Tutoring System in The Military Schools Kurniawan, Bobi; Meyliana, M.; Warnars, Harco Leslie Hendric Spits; Suharjo, Bambang
ASEAN Journal of Science and Engineering Vol 3, No 3 (2023): AJSE: December 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v3i3.57917

Abstract

The rapid and fast development of technology affects many aspects of life, especially in the field of education. The application of technology in education is needed to support a more effective and efficient learning process without any space and time constraints. An example is the implementation of the Intelligent Tutoring System (ITS) which is often known as an intelligent learning system. An ITS in the field of military education is needed to produce professional military graduates/HR. Therefore, researchers will examine trends in research development and updates on ITS technology in the military field. Efforts to achieve research objectives are carried out using the Systematic Literature Review method with bibliometric analysis or VOSviewer. The purpose of this study is to become a reference for determining research topics on ITS in the field of education, especially the military.
Development of Intelligent Tutoring System Model in the Learning System of the Indonesian National Armed Forces Completed with Bibliometric Analysis Kurniawan, Bobi; Meyliana, M.; Warnars, Harco Leslie Hendric Spits; Suharjo, Bambang
ASEAN Journal of Science and Engineering Vol 4, No 2 (2024): AJSE: September 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v4i2.70375

Abstract

This research aims to develop and design an Intelligent Tutoring System (ITS) model to improve the efficiency and adaptability of the learning process using technology based on student personalization. This study employs a systematic literature review method, as well as bibliometric analysis and visualization using the VOSviewer application. We collected data from several well-known article databases. The results showed an intelligent tutoring system model to be connected to five components and 22 sub-components. These components consist of a student model, a pedagogical model, an interface model, a tutor model, and a domain model. Thus, these components and sub-components produce a responsive student model that can be used to develop a learning system within the Indonesian National Armed Forces. The responsive student model not only assesses students' visual, auditory, or kinesthetic learning styles but also gauges their emotions or concentration levels during the learning process. This development not only increases learning effectiveness but also improves student learning experiences and supports adaptive and sustainable academic growth.
Bibliometric Analysis using Vos Viewer with Publish or Perish of Intelligent Tutoring System in Private Universities Kurniawan, Bobi; Meyliana, M; Leslie Hendric Spits Warnars, Harco; Suharjo, Bambang; Ahiase, Godwin
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol 5 No 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v5i2.12732

Abstract

The objective of this study is to analyze the development of intelligent tutoring systems in private universities. We conducted the analysis using bibliometric methods, utilizing the Publish or Perish and VOSviewer applications. Data was obtained by using the publish or perish application with the keyword "intelligent tutoring system in private university" from the Google Scholar database from 2019 to 2024. According to search results, the number of research papers has decreased from 117 to 23 from 2020 to 2024. Mapping using VOSviewer application produces three types of visualization, namely network, overlay, and density visualization. In its conclusion, this research notes a decrease in the number of studies discussing in private universities since 2020, but still shows great potential for development by other researchers.
Application of K-Means Cluster and Spatial Statistics using Python to Analyze the Indicators of Indonesia Information Technology Suharjo, Bambang
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 1 (2021): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v12i1.4310

Abstract

The use of computers and the internet is very important for business improvement. Analysis of its use for delineation and development plans in order to provide a better role in the business field. The problem is that there is no information technology literacy map in Indonesia that can provide an overview for national policy formulation. The research was carried out to compile a map of mastery of information technology in Indonesia by data mining from the Central Bureau of Statistics and analyzed it into 4 clusters of mastery of information technology. The presentation results in the form of a spatial statistical map showing the mastery of information technology makes it easier for executive decisions to be made, which can be followed up with education, socialization and other floating plans to increase indications of mastery of information technology to increase business success.
Digital Transformation Maturity Analysis of Indonesian Navy Staff and Command College Using DTMM Suharjo, Bambang; Rimbawa, H.A. Danang
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.821

Abstract

The maturity of digital transformation refers to an organization’s development level in adopting and integrating digital technology into its business processes. The level of maturity of digital transformation in the Indonesian Navy Staff and Command College as a military education institution is very essential. The problem is the information on digital transformation maturity has not been obtained. The qualitative method through in-depth interviews was conducted on the leadership elements, namely the director and departmental heads to answer the question of digital transformation maturity. Interviews were developed in the policy and strategy, technology and infrastructure dimensions, the use of IT in the business process of educational institutions, IT-based learning, lecturers and education, data, digital leadership, efficiency and IT-based performance, and IT culture. Determination of maturity level was carried out using DTMM at initial, developing, defined, managed, and optimized. The results of the study show that overall, the level of maturity of digital transformation at the Naval Staff and Command School has reached a defined (systematic) level. The strategy for increasing the maturity of digital transformation at the Naval Staff and Command School needs to be continuously developed and implemented in each dimension.
ANALYSIS OF PPK PERFORMANCE THROUGH COMPETENCE AND MOTIVATION IN THE SAKTI APPLICATION AT MABESAL Zunaedi, Ranu Marmono; Suharjo, Bambang; Prasetyo, Aribowo sudiantomo
International Journal of Social and Management Studies Vol. 5 No. 4 (2024): August 2024
Publisher : IJOSMAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5555/ijosmas.v5i4.437

Abstract

This study analyzes the performance of Commitment Making Officers (PPK) through competence and motivation in the use of the Agency-Level Financial Application System (SAKTI) at the Indonesian Navy Headquarters. In the implementation of the budget and management of state finances, PPK plays a strategic role in ensuring efficiency, transparency, and accountability in the procurement of goods and services. PPK performance is often influenced by the level of competence and motivation they have. PPK competence not only includes regulatory knowledge, but also technical and managerial skills. High motivation is also an important factor in driving optimal performance. This study uses a combination of quantitative and qualitative methods with sequential explanatory. Through questionnaires and interviews, data from 26 PPKs in the Navy Headquarters environment were processed using SPSS and NVivo. The results of the analysis show that PPK competence and motivation have a significant influence on performance in the use of SAKTI. Based on these results, recommendations in the form of increasing performance-based training, mentoring, and awards are proposed to improve the effectiveness of SAKTI use and PPK performance.
Performance Comparison of K-nearest Neighbor, Decision Tree, and Random Forest Methods for Classification of Cyber Defense Master Scholarship Recipients dinisfusya'ban, dinisfusya'ban; Suharjo, Bambang; Indrajit, Richardus Eko
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.823

Abstract

Cyber defense education is essential for developing a workforce capable of addressing evolving cyber threats, particularly in the military sector, where interconnected systems are vital for secure communication and command. This research aims to enhance the selection process for the Cyber Defense Master Scholarship at the Republic of Indonesia Defense University by employing machine learning algorithms. The study compares the performance of K-Nearest Neighbor (KNN), Decision Tree, and Random Forest for classifying eligible scholarship candidates. The results reveal a clear performance hierarchy: KNN achieves a moderate accuracy of 80.68%, offering simplicity and interpretability but lacking the precision of other models. The decision Tree performs with high accuracy (98.86%) but shows vulnerability to overfitting, which may impact generalizability to unseen data. Random Forest emerges as the most robust model, achieving the highest precision and overall stability, with minimal compromise on other metrics. Given the scholarship’s selection requirements, Random Forest is recommended for tasks needing high accuracy and resilience against overfitting, while KNN and Decision Tree offer suitable alternatives for simpler, more interpretable applications.
Improving Large Language Model’s Ability to Find the Words Relationship Alam, Sirojul; Abdul Jabar, Jaka; Abdurrachman, Fauzi; Suharjo, Bambang; Rimbawa, H.A Danang
Jurnal Bumigora Information Technology (BITe) Vol 6 No 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i2.4127

Abstract

Background: It is still possible to enhance the capabilities of popular and widely used large language models (LLMs) such as Generative Pre-trained Transformer (GPT). Using the Retrieval-Augmented Generation (RAG) architecture is one method of achieving enhancement. This architectural approach incorporates outside data into the model to improve LLM capabilities. Objective: The aim of this research is to prove that the RAG can help LLMs respond with greater precision and rationale. Method: The method used in this work is utilizing Huggingface Application Programming Interface (API) for word embedding, store and find the relationship of the words. Result: The results show how well RAG performs, as the attractively rendered graph makes clear. The knowledge that has been obtained is logical and understandable, such as the word Logistic Regression that related to accuracy, F1 score, and defined as a simple and the best model compared to Naïve Bayes and Support Vector Machine (SVM) model. Conclusion: The conclusion is RAG helps LLMs to improve its capability well.
Co-Authors Abdul Jabar, Jaka Abdurrachman, Fauzi Ahiase, Godwin Alam, Sirojul Bobi Kurniawan, Bobi dinisfusya'ban, dinisfusya'ban Hermawan, Aries Jati, Sundring Pantja Kristiyono, Kristiyono Leslie Hendric Spits Warnars, Harco Meyliana, M Meyliana, M. Prasetyo, Aribowo sudiantomo Puji Widodo Richardus Eko Indrajit Rimbawa, H.A Danang Rimbawa, H.A. Danang Rushadi, Benny Setiowati, Renny Warnars, Harco Leslie Hendric Spits Wibawa, Aria Cakra Zunaedi, Ranu Marmono