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All Journal International Journal of Electrical and Computer Engineering Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Scientific Journal of Reflection : Economic, Accounting, Management and Business Indonesian Journal of Electrical Engineering and Computer Science
Bambang Subeno
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Other

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Optimisation towards Latent Dirichlet Allocation: Its Topic Number and Collapsed Gibbs Sampling Inference Process Bambang Subeno; Retno Kusumaningrum; Farikhin Farikhin
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (325.186 KB) | DOI: 10.11591/ijece.v8i5.pp3204-3213

Abstract

Latent Dirichlet Allocation (LDA) is a probability model for grouping hidden topics in documents by the number of predefined topics. If conducted incorrectly, determining the amount of K topics will result in limited word correlation with topics. Too large or too small number of K topics causes inaccuracies in grouping topics in the formation of training models. This study aims to determine the optimal number of corpus topics in the LDA method using the maximum likelihood and Minimum Description Length (MDL) approach. The experimental process uses Indonesian news articles with the number of documents at 25, 50, 90, and 600; in each document, the numbers of words are 3898, 7760, 13005, and 4365. The results show that the maximum likelihood and MDL approach result in the same number of optimal topics. The optimal number of topics is influenced by alpha and beta parameters. In addition, the number of documents does not affect the computation times but the number of words does. Computational times for each of those datasets are 2.9721, 6.49637, 13.2967, and 3.7152 seconds. The optimisation model has resulted in many LDA topics as a classification model. This experiment shows that the highest average accuracy is 61% with alpha 0.1 and beta 0.001.
IMPACT OF UNDELIMITED AREA IN THE MALACCA STRAIT ON INDONESIA-MALAYSIA RELATIONS Bambang Subeno; Muhammad Syaroni Rofii
Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity Vol 8, No 1 (2022)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v8i1.1590

Abstract

Indonesia has a border dispute in the Malacca Strait with the neighboring country, Malaysia, which results in undelimited waters areas. This research aims to analyze the impact of Indonesian government policies on Malaysia related to undelimited waters in the Malacca Strait according to the Theory of Sovereignty. This study is a qualitative study that uses a case study approach. The data obtained from the literature study came from several scientific articles and government documents, interviews with several informants, and direct observations of the object under study. In this research, the level of problems will be seen through the impact of incidents in undelimited waters in the Strait of Malacca on Indonesia-Malaysia relations. The incident is already at an alarming stage because there have been clashes that threaten the safety of ships and lives, that might cause conflict/use of violence, and threaten bilateral relations. This study found that the priority of the Government of Indonesia's policy in upholding sovereignty in border areas in Indonesia is carried out using a security and community welfare approach. To minimize incidents that occur between the two countries in overlapping areas, bilateral relations are enhanced through coordinated patrols
Pengaruh Disiplin dan Kompensasi Non Financial terhadap Kinerja Personel Disdikal melalui Kepuasan Kerja sebagai Variabel Moderating Djasno, Donyanto Anis; Subeno, Bambang; Artanto, Ari
SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business Vol. 8 No. 2 (2025): SCIENTIFIC JOURNAL OF REFLECTION: Economic, Accounting, Management, & Business
Publisher : Sekolah Menengah Kejuruan (SMK) Pustek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/sjr.v8i2.1089

Abstract

This study aims to analyze the influence of discipline and non-financial compensation on the performance of Disdikal personnel with job satisfaction as a moderating variable. The background of this study is based on the problem of low levels of discipline and limited non-financial compensation that can have an impact on decreasing personnel performance in the Indonesian Navy. The method used in this study is quantitative. The instrument used is a questionnaire distributed to 80 respondents. The data processing technique used was SEM with Smart PLS 4 software. The data obtained were analyzed using regression techniques to test the relationship between discipline variables, non-financial compensation, job satisfaction, and performance. The results of this study indicate that there is no strong influence of discipline on performance with a t-statistic value of 0.249 <1.64 and p-values> 0.05, there is a fairly strong influence of non-financial compensation on performance with a value of 3.654>1.64 and p-values ??<0.05, there is a strong influence of discipline on job satisfaction with a t-statistic value of 4.439 <1.64 and p-values ??<0.05, there is a strong influence of non-financial compensation on job satisfaction with a value of 7.511>1.64 and p-values ??<0.05, there is a fairly strong influence of job satisfaction on performance with a t-statistic value of 2.972>1.64 and p-values ??<0.05, there is an influence of discipline on performance through job satisfaction with a t-statistic value of 2.657>1.64 and p-values ??<0.05 and there is a fairly strong influence of non-financial compensation on performance through job satisfaction with a t-statistics value of 2.644> 1.64 and p-values ??<0.05. Therefore, the recommendations given to the Indonesian Navy to pay attention to this aspect as part of efforts to improve personnel performance in supporting the operational tasks of the Indonesian Navy and the results of this study are also used as input for Disdikal Personnel in improving personnel performance and satisfaction through discipline and non-financial compensation.
Query keyword extraction in discriminative marginalized probabilistic neural method for multi-document summarization Subeno, Bambang; Budi, Indra; Yulianti, Evi
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp907-915

Abstract

The large number of textual documents in the medical field makes it very difficult for readers to obtain comprehensive information. Users usually use a query approach to get the desired information. Using the correct query will produce relevant information. In the existing discriminative marginalized probabilistic neural method, referred to as DAMEN, used for multi-document summarization, a background sentence query is used to retrieve the top-K relevant documents and then generate a summary of these documents. However, the background sentence query used to retrieve the top-K documents did not provide accurate summary results. The author improved the DAMEN model by adding a keyword extraction process to the query background sentence. We call this model Q-DAMEN. Our model shows significant improvement over the original DAMEN method, with the best results achieved by the variation of using a keyword query entered into the discriminator component and a background sentence query entered into the generator component. The multipartieRank keyword extraction method shows the best results with a Rouge-1 value of 29.12, Rouge-2 of 0.79, and Rouge-L of 15.53. The results demonstrate that the more accurate the keywords extracted from the sentence background query, the more accurate the multi-document summaries generated.
Co-Authors Artanto, Ari Budi, Indra Djasno, Donyanto Anis Evi Yulianti Juwanda, Farikhin Muhammad Syaroni Rofii Retno Kusumaningrum