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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Transportasi Habitat Jurnal Ilmiah Teknik Industri Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Gantang JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JET (Journal of Electrical Technology) BAREKENG: Jurnal Ilmu Matematika dan Terapan Jiko (Jurnal Informatika dan komputer) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jambura Journal of Mathematics Jurnal Ilmiah Ilmu dan Teknologi Rekayasa MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering MEANS (Media Informasi Analisa dan Sistem) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Abdimas Bina Bangsa IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Ilmiah Mahasiswa teknik eProceedings of Engineering Jurnal INFOTEL Abdi Masyarakat UIKA Ngabdimas Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Integrasi: Jurnal Ilmiah Teknik Industri SJME (Supremum Journal of Mathematics Education)
Ridho Ananda
Telkom University Purwokerto
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : jurnal infotel

 1 
Classification Based on Configuration Objects by Using Procrustes Analysis Ridho Ananda; Agi Prasetiadi
JURNAL INFOTEL Vol 13 No 2 (2021): May 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i2.637

Abstract

Classification is one of the data mining topics that will predict an object to go into a certain group. The prediction process can be performed by using similarity measures, classification trees, or regression. On the other hand, Procrustes refers to a technique of matching two configurations that have been implemented for outlier detection. Based on the result, Procrustes has a potential to tackle the misclassification problem when the outliers are assumed as the misclassified object. Therefore, the Procrustes classification algorithm (PrCA) and Procrustes nearest neighbor classification algorithm (PNNCA) were proposed in this paper. The results of those algorithms had been compared to the classical classification algorithms, namely k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), AdaBoost (AB), Random Forest (RF), Logistic Regression (LR), and Ridge Regression (RR). The data used were iris, cancer, liver, seeds, and wine dataset. The minimum and maximum accuracy values obtained by the PrCA algorithm were 0.610 and 0.925, while the PNNCA were 0.610 and 0.963. PrCA was generally better than k-NN, SVM, and AB. Meanwhile, PNNCA was generally better than k-NN, SVM, AB, and RF. Based on the results, PrCA and PNNCA certainly deserve to be proposed as a new approach in the classification process.
Strategic Planning for Rice Seed Productivity Using Integration of modified TF-IDF and SWOT-QSPM Mulyani, Enci; Ananda, Ridho; Winati, Famila Dwi
JURNAL INFOTEL Vol 18 No 1 (2026): February
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i1.1416

Abstract

The agricultural sector of Indonesia is dependent on the availability of highquality rice seeds for its functionality. The effective management of these seeds is therefore of paramount importance to ensure the continuity of productivity and the security of food supplies. However, the aspirations of farmers, who are the primary actors, are often ineffective and only available in an unstructured narrative form. This complicates the process of strategic decision-making. The objective of this study is to enhance rice seed productivity by developing a strategy that employs an integrative informatics approach, integrating text mining, SWOT analysis, and the QSPM method. The data was collected via 100 open-endedinterviews with farmers and processed through text cleansing, modified TF-IDF weighting, and token classification into SWOT factors. The classification results were then employed to construct IFAS and EFAS matrices, which were used to determine strategic positioning. The utilization of the QSPM matrix facilitated the identification of priority strategies. The analysis indicated that the seed aspect falls into quadrant IV, suggesting a predominance of weaknesses and threats, necessitating a defensive (WT) strategy. The primary strategy identified was the provision of superior seeds that are resistant to extreme weather; this strategy achieved the highest score in the QSPM analysis. The strategy’s feasibility level, as validated by three experts, exceeded 83%, thus categorizing it as "highly feasible." The present study concludes that integrating text mining techniques with SWOT-QSPM transforms opinion data into an objective, adaptable, and applicable decision-making strategy based on local data.
Co-Authors 12.5202.0161 Daniel Yeri Kristiyanto Achmad Zaki Yamani Agi Prasetiadi Al Atsary, Arry Darmawan Aliyah, Khikmatul Amalia Beladinna Arifa Anggraeni, Nadia Putri Anita Chindyana Ardian, Miko Arry Darmawan Asminah Aswan Munang Atika Ratna Dewi Auliya Burhanuddin Awanda, Yulia Bangkit Wiguna Devindra, Sheisha Nabila Dhau, Shadana Famila Dwi Winati Faturohman, Muhammad Iqbal Fauzan Romadlon Fipiariny Fipiariny.S, Fipiariny.S Gushelmi Gushelmi Gushelmi Hadi Kurniawan Hadi Kurniawan, Hadi Isnaini Nurisusilawati Jaya, Satria Karima, Halim Qista Luthfi Ikhsan Al Ghani Maidawati Maidawati Maifuza Binti Mohd Amin Miftahul Huda Muhammad Afif Muhammad Ardiansyah Muhammad Zidny Naf'an Mulyani, Enci Nainggolan, Racha Defitri Nurlaili Nursapia Harahap Rahayu, Chika Rahmawati, Sindy Rani Septiani Sukandar Rifki Adhitama, Rifki Rimbawati Saufik Luthfianto Saufik Luthianto Setiadi, Heri Setiani, Widya Rahmadatul Siregar, Salsa Fadhilah Syafril Alyyu, Kismato Utti Marina Rifanti Wahyu Adi Prabowo Yanyan Ramdhani, Ade Yoga, Wira Yudha Saintika Zulkarnain, Nur Afrina Huda