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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Edutech Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri Abdimasku : Jurnal Pengabdian Masyarakat Devotion: Journal of Research and Community Service Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK)
Asih Rohmani, Asih
Program Studi Sistem Informasi, Fakutas Ilmu Komputer, Universitas Dian Nuswantoro
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Social Sciences

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Strategic Clustering of Poverty Areas in Central Java Using K-Means and Silhouette Evaluation Tacharri, Chusnuut; Rohmani, Asih; Fahmi, Amiq
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14734

Abstract

Indonesia is one of several developing nations that struggle with poverty. Central Java is one of Indonesia's provinces with the third-highest percentage of the country's inadequate. This study aims to explore and improve the application of the K-Means Algorithm in investigating socioeconomic disparities. In this study, the Elbow method is used to determine the optimal number of clusters to overcome the weaknesses in determining the number of clusters in conventional K-Means. Model evaluation using the silhouette coefficient shows the effectiveness of this method approach with a value of 0.504 and several clusters (K = 3), which meets the medium structure category. The Human Development Index (HDI) and Uninhabitable Households (RTLH) were two criteria used to categorize poverty areas using the K-Means Algorithm optimization successfully. According to the clustering results, there were 12 regions in Cluster 0, 2 in Cluster 1, and 21 in Cluster 2. These findings are anticipated to offer the Central Java Provincial Government critical insights, facilitating the development of precise and well-targeted initiatives to address deprivation issues effectively. Furthermore, a more systematic and structured optimization of the K-Means algorithm has the potential to significantly improve both the accuracy and practical relevance of studies on socioeconomic inequality in Central Java Province. This enhanced methodological approach can provide more in-depth results on data-driven regional disparities to reduce these disparities comprehensively.
Enhancing Entity Extraction in E-Government Complaint Data using LDA-Assisted NER Umam, Ahmad Khotibul; Alzami, Farrikh; Sani, Ramadhan Rakhmat; Rohmani, Asih; Prabowo, Dwi Puji; Pergiwati, Dewi; Megantara, Rama Aria; Iswahyudi, Iswahyudi
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15292

Abstract

With the rapid development of information technology, governments are increasingly challenged to provide digital channels that enhance public participation in governance. LaporGub, an official platform managed by the Central Java Provincial Government, accommodates citizens' aspirations and complaints, but faces challenges in processing large amounts of unstructured text. Manual analysis is time-consuming and error-prone, resulting in delayed responses and decreased service quality. Conventional Named Entity Recognition (NER) models struggle to handle informal Indonesian-language text, while transformer-based approaches require substantial computing resources that are not widely available in local government environments. Therefore, this study aims to develop a lightweight NER approach by integrating Latent Dirichlet Allocation (LDA) as a semantic pre-annotation tool to improve the accuracy of entity extraction in Indonesian e-government complaint data. To achieve this goal, a dataset of 53,858 complaint reports from the LaporGub platform (2022–2025) was processed using LDA topic modeling (k=10) to provide semantic context during annotation. Next, the enriched dataset was used to train a spaCy-based NER model targeting three entity types: LOCATION, ORGANIZATION, and PERSON, with a training-validation-test split ratio of 70:15:15 using stratified sampling. The evaluation showed that the proposed NER+LDA model achieved a precision of 90.03%, a recall of 81.86%, and an F1-score of 85.75%, representing improvements of +5.78, +2.55, and +4.04, respectively, compared to the baseline NER model (F1-score: 81.71%). Furthermore, the most significant improvements occurred in the detection of ORGANIZATION and PERSON entities. These findings confirm that the integration of LDA as a pre-annotation strategy effectively improves NER performance on informal complaint texts in Indonesia, thus offering a practical and resource-efficient alternative to transformer-based methods for e-government applications.
Development of Fishery Marketplace Applications Using Prototype Methods Bao Sumantoro, Yeremia Joen; Rohmani, Asih; Budiman, Fikri; Sugiarto, Edi
Devotion : Journal of Research and Community Service Vol. 4 No. 2 (2023): Devotion: Journal of Research and Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/devotion.v4i2.408

Abstract

Fish farming is an activity of raising fish or developing fish in a controlled environment. However, if you look at the statistical data, the fish consumption level of Kendal Regency residents is still low, namely 24 kg/cap/year, far below the national fish consumption rate. From the existing problems, fish cultivators, especially those in the border areas of Kendal Regency, mostly sell their fish production outside the area. As a result, the selling price is lower because it is deducted from the transport price. Another problem occurs for cultivators who are just starting a business. Usually they have sufficient capital to build a business, but they do not yet have acquaintances with fish traders who are willing to buy their crops. So they often use social media facilities to offer their crops. Based on the existing problems, it is possible to help solve problems by utilizing information technology. Utilization of a technology in selling fish can help farmers so that sales are more focused and produce good sales, so an application is made that is expected to help overcome existing problems, researchers use the prototype method to find out user needs
Co-Authors Abdul Syukur Ahmad Khotibul Umam, Ahmad Khotibul Alzami, Farrikh Arta Moro Sundjaja, Arta Moro Ayuningsih, Dewi Putri Bao Sumantoro, Yeremia Joen Choirinnisa, Dina Dwi Puji Prabowo, Dwi Puji Edi Sugiarto Fahmi Amiq Fikri Budiman Fitri Susanti Ibnu Utomo WM Ika Novita Dewi Indra Gamayanto Indrayani, Heni ISWAHYUDI ISWAHYUDI Karin, Tan Regina Kinanty, Septyana Retno Kurnia Desita, Raafi Megantara, Rama Aria Muslih Muslih MY. Teguh Sulistyono Nugraha, Rizka Nugraini, Siti Hadiati Pergiwati, Dewi Pulung Nurtantio Andono Ramadhan Rakhmat Sani S. Sukamto, Titien Sasono Wibowo Sejati, Priska Trisna Senata, Denny Sendi Novianto Sirait, Tamsir Hasudungan Sri Winarno Sukamto, Titien Sukamto, Titien Suhartini Tacharri, Chusnuut Zami, Farrikh Al Zulfiningrumi, Rahmawati