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All Journal EKUIVALEN - Pendidikan Matematika Jurnal Pembangunan Wilayah dan Kota SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Al-Ijtimaiyyah Journal of Islamic Studies and Humanities Jurnal Ilmiah Peuradeun International Journal Ihya' 'Ulum al-Din Buletin Sumber Daya Geologi JURNAL PENDIDIKAN TAMBUSAI AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Jambura Journal of Educational Chemistry Jurnal Teknik Informatika (JUTIF) Jurnal Kajian Matematika dan Aplikasinya BudAI: Multidisciplinary Journal of Islamic Studies Unram Journal of Community Service (UJCS) International Journal of Research Innovation and Entrepreneurship Jurnal Manajemen Dakwah HUMANISMA : Journal of Gender Studies Journal Focus Action of Research Mathematic (Factor M) Social Science Academic Journal Education And Islamic Studies Indonesian Journal of Mathematics and Applications Conference Proceedings International Conference on Education Innovation and Social Science Indonesian Journal of Aerospace EDUKASIA: Jurnal Penelitian Pendidikan Islam
NUR HAMID
Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro, Semarang
Religion Aerospace Engineering Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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The Strategy for Growing Economic Potential by Improving Financial Literacy using 4.0 Technology Juhadi, J; Hamid, Nur; Saadah, Nuris; Aroyandini, Elvara Norma
Proceedings International Conference on Education Innovation and Social Science 2023: Proceedings International Conference on Education Innovation and Social Science
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Kragan coastal area has high economic potential. However, the economic potential in Kragan needs to be optimally managed. Most of the fisheries sector is still run traditionally. So there is dependence between small fishermen, who are still traditional, on prominent/modern investors. Many small fishermen are shackled by poverty in this case. Thus, it is essential to increase public knowledge regarding financial management in the fisheries sector so that the economy of traditional fishermen is no longer dependent on large/modern fishermen. The solution offered by researchers is to increase public financial literacy by utilizing technology 4.0. This technology is focused on community empowerment through product marketing. This study uses a qualitative method. Data collection techniques using interviews and observation. The research population is the people on the coast of Kragan. The research analysis uses a qualitative descriptive analysis. The results show that the financial literacy rate is still relatively low, around 58.2%. Most informants chose to use the old method, so there was an imbalance between small fishermen who used the traditional method and big/modern fishermen. While the results of the FGD show that technology 4.0 can help grow the Kragan people's economy by managing fishery products and increasing financial literacy.
Structure Relaxation Disruption on Temperature-dependence of Polymerization of HTPB-based Polyurethane Restasari, Afni; Hamid, Nur; Marpaung, Leonard; Rusnaenah, Andi; Sukma, Adi; Sukma, Rahmawati
Indonesian Journal of Aerospace Vol. 19 No. 2 (2021)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jtd.2021.v19.a3654

Abstract

The temperature-dependence of polymerization rate of hydroxyl-terminated polybutadiene (HTPB)-based polyurethane can be disrupted by a structure relaxation of polymer. Objective of the study is to investigate the disruption on the polyurethane (PU) formed of various molecular weight of HTPB. The study was carried out by applying temperature of 50, 60 and 70 oC in measuring viscosity until 80 minutes of reaction. The sample that were used is HTPB with various molecular weight and Toluene diisocyanate (TDI). Based on decreasing value of viscosity, it is obtained that relaxation temperature of HTPB-based PU is around 60 – 70 oC. By applying Eyring equation of flow, it is found that relaxation of structure causes the existence of relaxation dominant-time (RDT). RDT is the reaction time at which molar volume reaches the maximum value. Furthermore, by determining activation entropy, the RDT was revealed to be a borderline between two type of polymerization. Linear reaction occurs before RDT, while cross-link reaction occurs after RDT. From structure point of view, PU-polymerization type of HTPB with low molecular weight tend to be more sensitive towards structure relaxation which is originated from hard segment.
Vote Detection on Ballots Using Thresholding and Centroid Detection Techniques Qadriah, Lailatul; Hamid, Nur
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38937

Abstract

General elections are an agenda carried out to elect and determine leaders in each region. One of the important stages in the general election process is the vote-counting stage. This study aims to implement several digital image processing methods. Digital image processing plays an important role in the automatic reading of ballot papers to increase the speed of the vote-counting process. In this study, the process of reading ballot images was conducted to produce numerical data based on the coordinates of specific parts of the image. Image processing was performed using GNU Octave software, which is simple yet effective in detecting votes on ballot papers and converting them into numerical data based on centroid coordinates. This method has advantages in terms of implementation simplicity and computational efficiency. The main stages of this study include image conversion to grayscale, thresholding, black pixel detection, segmentation, centroid coordinate detection of punched ballot marks, and conversion into numerical form. In this study, 47 ballot image samples were used. The results of this study show that this method can achieve an accuracy rate of 78.7%.
Evaluating Lexicon Weighting and Machine Learning Models for Sentiment Classification of Indonesian Mangrove Ecotourism Reviews Chahyadi, Ferdi; Uperiati, Alena; Pratiwi , Risdy Absari Indah; Hamid, Nur
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5563

Abstract

Sentiment analysis on ecotourism reviews presents specific challenges due to descriptive writing styles, the use of ambiguous words, and contextual meaning shifts (contextual polarity shift). These characteristics often cause lexicon-based approaches to produce unstable polarity labels. This study aims to evaluate the influence of two lexicon weighting methods, namely Mean Weighting and Summation Weighting, on the initial sentiment labeling of mangrove ecotourism reviews and to assess the performance of machine learning models trained using these labels. The research method includes text preprocessing, lexicon-based scoring using the InSet lexicon, feature extraction with Term Frequency–Inverse Document Frequency (TF–IDF), and the training of two classification algorithms, Support Vector Machine (SVM) and Logistic Regression (LR). The results show that the Mean Weighting method produces more stable polarity scores and higher model performance. The combination of SVM with Mean Weighting achieves the best results with an accuracy of 0.902, macro precision of 0.876, macro recall of 0.819, a macro F1-score of 0.841, and a weighted F1-score of 0.899. Meanwhile, LR with Mean Weighting reaches an accuracy of 0.891 with a similar performance pattern. In contrast, the Summation Weighting method results in lower performance for both algorithms. Error analysis indicates that neutral sentences and ambiguous words such as “bagus” and “ramai” frequently lead to misclassification. These findings highlight that the choice of lexicon weighting method plays a crucial role in improving sentiment classification accuracy and contributes to the development of hybrid approaches in text mining and sentiment analysis for the Indonesian language.
Sejarah dan Dinamika Lembaga Pendidikan Islam di Nusantara: Surau, Meunasah, Pesantren, dan Madrasah Rohmah, Ucik Saidatur; Hamid, Nur; Su'aedi, Ifran Fuad
Social Science Academic Vol. 1 No. 2 (2023)
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/ssa.v1i2.4039

Abstract

Islamic educational institutions have existed since the time of the sultanates in the archipelago, which at that time were very popular among Indonesian people, and the most popular at that time were Islamic boarding schools. surau, dayah, meunasah, pesantren and madrasah. The history of educational institutions in the archipelago is very long, so the purpose of this research is to describe the history and dynamics of Islamic educational institutions in the archipelago, starting from surau, maunasah, pesantren and madrasah. The development of Islamic educational institutions is the impact of changes in people's behavior. Are Islamic institutions, one of which are Islamic Boarding Schools and Madrasas, becoming Islamic educational institutions that continue to exist or are there other models of educational institutions that are more accommodating to the civilization and culture of the Islamic world.
Development of ICIMAI (Islam Cinta Damai) Comics to Improve Elementary School Students' Tolerance Character Adawiyah, Rabiatul; Hamid, Nur; Sa’diyah, Sa’diyah; Aroyandini, Elvara Norma; Kholis, Nur; Mukti, Beta Pujangga
EDUKASIA Vol 19, No 1 (2024): EDUKASIA
Publisher : Program Studi Pendidikan Agama Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/edukasia.v19i1.20930

Abstract

Co-Authors Abdul Rouf Alghofari Adeni, Adeni Adissa, Kurnia Nur Agus Riyadi Agus Riyadi Agus, Abu Hasan Alena Uperiati Ali, Mukti Alwi HS, Muhammad Aly, Muhammad Nilzam Annisa Nur Falah, Annisa Nur Aroyandini, Elvara Norma Budi Astuti Budi Nurani Ruchjana Chahyadi, Ferdi Dharma Putra, Ngurah Made Dicky Muslim Didik Aryanto Döngül, Esra Sipahi Efrita Norman Endang Rusyaman Farah, Nada Alfa Fettahlıoğlu, Ömer Okan Fianti Fianti, Fianti Firanti, Annisa HAFIIZH, MOCHAMMAD Hashim, Mohmadisa Hendarmawan Hendarmawan J Juhadi, J Jauza', Nur Faridatul Jawad, Muhammad Juhadi Juhadi Kasmuri Kasmuri Kasmuri Kasmuri, Kasmuri Lukmanul Hakim Maghfirah, Hidayatul Mahat, Hanifah Marpaung, Leonard Misbah, Muhammad Khoirul Mochammad Najmul Afad Mudhofi, M. Mudhofi, Mudhofi muhammad khoiruman, muhammad Mukti, Beta Pujangga Muttaqin, Rodhotul Nur Fajariyah, Nur Nur Kholis Nurul Jannah Pahlefi, Dwi Muhidin Pintaka Kusumaningtyas Pratiwi , Risdy Absari Indah Putra, Ngurah Made Dharma Putut Marwoto Qadriah, Lailatul Rabiatul Adawiyah Restasari, Afni Rohmah, Ucik Saidatur Rohmah, Umi Amanatur Rusnaenah, Andi Saadah, Nuris Sa’diyah, Sa’diyah Sadiyah, Sadiyah Saerozi Saerozi, Saerozi Sa’diyah, Sa’diyah Setiyanti, Anis Setyaningsih, Natalia Erna Sismawarni, Wuri Utami Dea Sofiana, Naela Su'aedi, Ifran Fuad Su'aibah, Siti Sugianto Sugianto Sukma, Adi Sukma, Rahmawati Sulhadi - Suratman Suratman Syaiful Anam Syarifatul Azaliyah, Syarifatul Syauqi, Wildan Usman Usman Uswatun Hasanah Zhafirah, Azizah Zurqoni