Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

9.422

P-Index

This Author published in this journals

All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Cakrawala Pendidikan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan ELINVO (Electronics, Informatics, and Vocational Education) JOIN (Jurnal Online Informatika) Jurnal Pendidikan (Teori dan Praktik) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SENTIA 2016 Jurnal Basicedu Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) JTP - Jurnal Teknologi Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Karinov JE-Unisla ILKOMNIKA: Journal of Computer Science and Applied Informatics TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Generation Journal Jurnal Teknodik Discovery : Jurnal Ilmu Pengetahuan Belantika Pendidikan Letters in Information Technology Education (LITE) Indonesian Journal of Instructional Media and Model Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Didaktika: Jurnal Kependidikan Journal of Applied Data Sciences International Journal of Engineering, Science and Information Technology Best : Journal of Applied Electrical, Science and Technology Journal of Science and Education (JSE) IJORER : International Journal of Recent Educational Research Emerging Information Science and Technology International journal of education and learning Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Jurnal Integrasi dan Harmoni Inovatif Ilmu-ilmu Sosial Jurnal Basicedu JP (Jurnal Pendidikan) : Teori dan Praktik Jurnal Ilmiah Edutic : Pendidikan dan Informatika Reflection Journal Research and Development in Education (RaDEn) JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Riset Rumpun Agama dan Filsafat JGK (Jurnal Guru Kita) Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Pendidikan Islam Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal Electric Field IRDH International Journal of Technology, Agriculture and Natural Sciences (IRDH IJTANS) Energy: Jurnal Ilmiah Ilmu-ilmu Teknik

Syaad Patmanthara

Universitas Negeri Malang

Author-ID : 2590732

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 84 Documents Claim Missing Document

Claim Missing Document

Articles

4 5 6 7 8

Anatomy of Sentiment Analysis in Ontological, Epistemological, and Axiological Perspectives Fadli Hidayat, M. Noer; Dwi Prasetya, Didik; Widiyaningtyas, Triyanna; Patmanthara, Syaad
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1228

The aim of this article was to examine sentiment analysis methods from the perspective of the philosophy of science with three approaches, ontological, epistemological and axiological. This research used a qualitative research method (descriptive-analysis) with an ontological, epistemological and axiological approach that uses library research and document studies of previous research results. Data collection was carried out through books and reputable scientific journals on Scopus, ScienceDirect, IEEEXplore and Springer Link. The results of this research showed that sentiment analysis from an ontological perspective describes the definition, development and relationship of sentiment with social reality. Meanwhile, from an epistemological perspective, sentiment analysis is viewed from how the source of knowledge is obtained, explaining the production of sentiment analysis knowledge, and several ways of working that can be applied in studies. Axiologically, sentiment analysis can see the function and value resulting from sentiment analysis, as well as discussing the results of interpretation from sentiment analysis studies. These findings showed the development of sentiment analysis in answering various problems to improve the quality of sustainable services in various fields.

Unveiling Epistemological Perspectives in Software Effort Estimation: A Comprehensive Tertiary Study Jayadi, Puguh; Patmanthara, Syaad
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.88447

The research examined epistemology in Software Effort Estimation (SEE), focusing on the evaluation methods and metrics used. Accurate estimation of effort is essential to the success of a software project. This study also aims to understand the various methods applied in SEE and how evaluation metrics are applied in this context. The proposed method in the study is to review the Systematic Literature Review (SLR) paper to analyze articles published in reputable international journals. The experimental methodology involves the identification, selection, and in-depth analysis of relevant studies, emphasizing the quality and relevance of existing research. The results show that although many methods are available, the proper selection is still challenging for researchers and practitioners alike. In addition, diverse evaluation metrics reflect the need for a more empirical approach to assessing the effectiveness of applied methods. The conclusions of this study provide significant insights for SEE practice and open up opportunities for further research in this area.

Clustering-Based Adaptive UX in E-Learning Systems: Aligning Microservices with the 4C Framework Belluano, Poetri Lestari Lokapitasari; Patmanthara, Syaad; Ashar, Muhammad; Kurniawan, Fachrul; Kurubacak, Gulsun
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.884

This study introduces a clustering-driven adaptive User Experience (UX) architecture for e-learning systems, aligning machine learning segmentation with the 21st-century 4C educational framework (critical thinking, communication, collaboration, creativity). The objective is to dynamically personalize digital learning interactions through a microservices architecture responsive to users' UX profiles. A quantitative survey was conducted involving 50 active users of Shopee and Tokopedia, whose interaction feedback was mapped using the User Experience Questionnaire (UEQ). Three unsupervised clustering techniques—KMeans, Agglomerative, and DBSCAN—were compared. KMeans outperformed the others with a silhouette score of 0.157, compared to 0.146 for Agglomerative and −0.017 for DBSCAN, identifying three meaningful clusters representing high, medium, and low UX proficiency. A one-way ANOVA test confirmed statistically significant differences (p 0.01) among the clusters in dimensions such as error clarity, support responsiveness, and user confidence. These UX profiles were then mapped to individualized microservices: Cluster 0 received autonomous content with minimal support, Cluster 1 was offered guided prompts, and Cluster 2 was provided with simplified interfaces and proactive assistance. Each cluster was aligned with specific 4C competencies to ensure pedagogical relevance. The proposed architecture, built with gRPC-based microservices, enabled asynchronous, low-latency personalization based on user cluster membership. The novelty of this research lies in its dual alignment—technological (microservices + machine learning) and educational (4C competency mapping)—to construct a scalable and responsive e-learning environment. The system design, although validated through simulation, demonstrates a practical foundation for future deployment in platforms like Moodle or OpenEdX. By linking behavioral UX clustering to pedagogical intervention strategies, this study offers a model for adaptive, data-informed instructional systems that are both scalable and learner-centered.

Revolusi Epistemologi dalam Era Kecerdasan Buatan: Tantangan dan Implikasi Pembelajaran Mendalam dalam Perspektif Filsafat Ilmu Rizal, Muhammad Fatkhur; Patmanthara, Syaad; Rahmawati, Chusnia
Discovery Vol 10 No 1 (2025): March 2025
Publisher : LPPM Universitas Hasyim Asy'ari Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/discovery.v10i1.8449

Artikel ini membahas hubungan antara kecerdasan buatan (AI), khususnya dalam konteks pembelajaran mendalam (deep learning), dan perspektif epistemologi. Seiring dengan berkembangnya AI yang berbasis data dan ateoretis, pendekatan ini menantang paradigma epistemologi tradisional yang berfokus pada teori dan justifikasi pengetahuan universal. AI, dengan kemampuannya untuk memberikan personalisasi berdasarkan data yang kontekstual, membawa perubahan signifikan terhadap cara kita memahami dan menghasilkan pengetahuan. Artikel ini mengeksplorasi bagaimana AI menggeser fokus epistemologi dari pencarian kebenaran universal menuju pengetahuan yang lebih dinamis dan terfokus pada kebutuhan individu, serta implikasi filsafat ilmu dalam mengevaluasi konsep-konsep dasar seperti kebenaran, justifikasi, dan teori pengetahuan. Penelitian ini mengajak pembaca untuk merenungkan peran AI sebagai agen epistemik yang tidak hanya memengaruhi teknologi, tetapi juga pemahaman kita tentang pengetahuan di era modern. Keywords: Kecerdasan Buatan (AI), Pembelajaran Mendalam (Deep Learning), Epistemologi, Filsafat Ilmu, Pengetahuan Dinamis.

Menimbang Objektivitas dan Makna dalam Penilaian Esai Otomatis: Perspektif Filsafat Ilmu Maskur, Maskur; Didik Dwi Prasetya; Patmanthara, Syaad
Discovery Vol 10 No 2 (2025): October 2025
Publisher : LPPM Universitas Hasyim Asy'ari Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/discovery.v10i2.10439

Perkembangan teknologi kecerdasan buatan dalam bidang pendidikan telah melahirkan sistem penilaian esai otomatis yang semakin sering digunakan di berbagai perguruan tinggi. Kehadirannya dianggap mampu menjawab tantangan klasik berupa keterbatasan waktu, konsistensi penilaian, beban kerja dosen yang semakin meningkat. Meski demikian, penggunaan sistem ini menimbulkan pertanyaan mendasar yang tidak bisa dilepaskan dari kajian filsafat ilmu. Penilaian dalam pendidikan bukan sekadar aktivitas teknis memberi skor, melainkan juga mencerminkan cara kita memahami pengetahuan, membangun kebenaran, dan menegakkan nilai-nilai pendidikan. Dari sisi ontologi, persoalan yang muncul adalah apa sebenarnya yang dinilai oleh sistem otomatis: apakah hanya bentuk linguistik dan struktur kalimat, atau juga makna, argumentasi, serta refleksi pengetahuan mahasiswa. Dari sisi epistemologi, klaim bahwa algoritma mampu menghadirkan objektivitas perlu dipertanyakan, sebab setiap algoritma dibangun atas dasar data, model, dan asumsi tertentu yang tidak bebas dari bias. Sementara itu, dari perspektif aksiologi, untuk menimbang apakah penilaian otomatis hanya berfungsi sebagai alat efisiensi, atau justru dapat mendukung tujuan pendidikan yang lebih luas, seperti keadilan, keterbukaan, dan pengembangan kemampuan berpikir kritis. Artikel ini menegaskan bahwa penilaian esai otomatis perlu dipahami bukan hanya sebagai inovasi teknologi, melainkan sebagai praktik yang sarat makna filosofis. Dengan meninjau aspek ontologi, epistemologi, dan aksiologi, penilaian diharapkan tidak kehilangan makna hakikinya, yaitu mendukung tercapainya tujuan pendidikan yang lebih adil, bermakna, dan humanis.

ANALISIS KEBERHASILAN SISTEM E-LEARNING SMK NEGERI 1 MALANG Sakkinah, Intan Sulistyaningrum; Patmanthara, Syaad
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 1 (2017): May 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

E-learning merupakan salah satu pembelajaran yang saat ini banyak dikembangkan di lembaga pendidikan. SMK Negeri 1 Malang merupakan salah satu sekolah yang telah menggunakan e-learning namun sistem e-learning SMK Negeri 1 Malang belum diukur tingkat keberhasilannya. Oleh sebab itu tujuan dari penelitian ini untuk mengetahui kerhasilan sistem e-learning SMK Negeri 1 Malang dengan menggunakan model analisis DeLone dan McLean. Hasil dari penelitian ini menunjukkan bahwa e-learning SMK Negeri 1 Malang dinyatakan berhasil.

Perbedaan Kemampuan Berpikir Kritis dan Hasil Belajar Kognitif Sistem Komputer antara Model CTL dengan Model Examples Non Examples Kurniawan, Singgih Adie; Patmanthara, Syaad; Soraya, Dila Umnia
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 4 No. 2 (2019): November 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Penelitian ini bertujuan untuk mengetahui perbedaan pada kemampuan berpikir kritis dan hasil belajar kognitif mata pelajaran sistem komputer, antara kelas eksperimen menggunakan model contextual teaching and learning dan kelas kontrol menggunakan model examples non examples di SMKN 11 Malang. Penelitian ini merupakan penelitian experimental semu (Quasy Experimental Design) dengan pola posttest only control design. Sampel yang dipilih adalah kelas X TKJ 1 sebagai kelas eksperimen dan X TKJ 4 sebagai kelas kontrol. Rata-rata hasil kemampuan akhir siswa di kedua kelas setelah mendapat perlakuan yaitu, kelas TKJ 1 sebesar 89,16 dan kelas TKJ 4 sebesar 83,90. terdapat selisih rata-rata sebesar 5,26 antara kedua kelas. Hasil kemampuan berpikir kritis pada kelas eksperimen menunjukkan 20% kemampuan sangat tinggi, 10% kemampuan tinggi, 42% kemampuan sedang, 6% kemampuan rendah dan 13% kemampuan sangat rendah. Sedangkan untuk kelas kontrol presentase yang didapat 7% memiliki kemampuan sangat tinggi, 20% kemampuan tinggi, 23% kemampuan sedang, 20% kemampuan rendah dan 30% kemampuan sangat rendah. Hasil uji-t juga menunjukkan nilai 0,002 (dimana nilai 0,002 < 0,05). Maka dapat disimpulkan terdapat perbedaan signifikan kemampuan berpikir kritis dan hasil belajar kognitif antara kelas eksperimen dan kelas kontrol.

Strategic Resource Relationship Model, Adaptability to Environmental Dynamics, Implementation of School-Based Management and Vocational School Competitiveness Jamil, Amidatus Sholihat; Kamdi, Waras; Hadi, Syamsul; Patmanthara, Syaad
JTP - Jurnal Teknologi Pendidikan Vol. 25 No. 3 (2023): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v25i3.48677

The aim of this research is to obtain the best relationship model between strategic resources, adaptability to environmental dynamics, and the implementation of school-based management on competitiveness in vocational schools which is thought to have an indirect relationship through existing mediating variables, without ignoring the direct relationship of each variable. This research is included in explanatory research with the statistical analysis technique used, namely Structural Equation Modeling (SEM). The population and sample in this study were 397 public and private vocational school teachers in East Java Province. Research data was collected through the distribution of questionnaires conducted online and offline. The results of hypothesis testing show that: (1) strategic resources have a positive and significant effect on environmental dynamics; (2) strategic resources have a positive and significant effect on the implementation of SBM; (3) adaptability to environmental dynamics has a positive and significant effect on SBM implementation; (4) strategic resources have a positive and significant effect on competitiveness; (5) SBM implementation has a positive and significant effect on competitiveness; (6) environmental dynamics have a positive and significant effect on competitiveness through the implementation of SBM; (7) strategic resources have a positive and significant effect on competitiveness through environmental dynamics and SBM implementation; (8) strategic resources have a positive and significant effect on competitiveness through the implementation of MBS; and (9) strategic resources have a positive and significant effect on the implementation of SBM through environmental dynamics.

AI, Agriculture, and Decolonial Perspectives: Recognizing Local Knowledge for Sustainability Julfikar Mawansyah; Mokh. Sholihul Hadi; Syaad Patmanthara
Jurnal Riset Rumpun Agama dan Filsafat Vol. 4 No. 3 (2025): Desember: Jurnal Riset Rumpun Agama dan Filsafat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrafi.v4i3.7250

This study explores the intersection of Artificial Intelligence (AI), agriculture, and decolonial philosophy, emphasizing the role of local knowledge as the foundation for sustainable agricultural technology in Indonesia. The research investigates how AI can be developed not as a tool of technological domination but as a dialogical partner that recognizes the epistemic value of indigenous wisdom. Using a mixed-method approach, the study combines algorithmic experiments applying lightweight Convolutional Neural Networks (CNN) with Explainable AI (XAI) methods such as SHAP and LIME with participatory interviews involving farmers in Bima District. Empirical findings show that models integrated with localized visualization and community-based interpretability improved user trust by 84% and reduced computational energy by 28% without compromising accuracy. More importantly, the interaction between AI and farmers revealed a form of epistemic integration where algorithmic logic aligns with traditional indicators, such as soil texture, humidity, and seasonal signs known to local farmers. Philosophically, this research asserts that sustainable AI should emerge from ecological and cultural contexts rather than imposing external frameworks. In the decolonial sense, it positions local farmers not as passive users but as active epistemic agents shaping the meaning of technology. Thus, AI becomes not only a technical instrument but a site of ethical and epistemic liberation that reaffirms human responsibility toward knowledge, culture, and the earth.

Abstract Syntax Tree Model for Minimizing False Negative in Semantic Evaluation of Python Fill-in-the-Blank Nurhasan, Usman; Prasetya, Didik Dwi; Patmanthara, Syaad
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11090

This study develops and evaluates an automated assessment model using Abstract Syntax Trees (AST) with a view to overcoming the limitations of string-matching techniques in the assessment of Fill-in-the-Blank (FIB) programming answers. Traditional string-matching techniques have a relatively high False Negative Rate (FNR) of 21.5% within the context of detecting semantic equivalence. The current model uses semantic structural triangulation to ascertain the semantic similarity of student answers. Technical assessment shows that the AST approach markedly reduces the FNR to 4.5%. The model demonstrates high reliability (ϰ = 0.83) with high classification accuracy (F1 Score = 0.966) which attests to its inferential validity. From a pedagogical perspective, system implementation leads to substantial learning gains, evidenced by a large effect size (Cohen’s d = 1.82) and a high normalized gain (Normalized Gain = 0.90). Multiple regression analysis confirms that semantic accuracy is the primary causal factor driving improved student comprehension. Ontologically, while AST is valid as a partial representation, its limitations—particularly tree isomorphism in recursive structures—highlight the need for further exploration of graph isomorphism approaches. Control Flow Graphs (CFG) and Data Flow Graphs (DFG) offer more expressive relational models for capturing control and data dependencies. The model demonstrates functional feasibility with a System Usability Scale (SUS) score of 76.47. Overall, the AST Triangulation Model is validated as pedagogically effective, inferentially robust, and supportive of evaluative transparency. Future research recommends validating the model on more complex tasks and releasing it as open-source to support reproducibility.

Co-Authors A.N. Afandi Achmad Imam Agung Aditya Galih Sulaksono Agung Bella Putra Utama Ahmad Baihaqi Mas Ahmad Sahru Romadhon Aji Prasetya Wibawa Akhmad Solikin Al Mukafi, Muhammad Hamdan Alfarid Hendro Yuwono Amidatus Sholihat jamil Amrullah, Ahmad Khakim Angga Achmad Cholid Anidia Wulan Sari Anik Nur Handayani Anwar, Akhmad Syaiful Arie Wardhono Aripriharta - Arizia Aulia Aziiza Arsyillah, Nazhiroh Tahta Asfani, Khoirudin Ashar, Muhammad Ashar, Muhammad Asih Setiani Aya Sofia Mufti Ayuningtyas Kurniawati Azhar Ahmad Smaragdina Benti Gandisa Bramastya, Rista Carolina Sisca Djunaidi Daniar Wahyu Akbar Oktaviando Dendy Dewa Widjaya Putra Dhega Febiharsa Didik Dwi Prasetya Didik Nurhadi Dila Umnia Soraya Djoko Kustono Dyah Lestari Eddy Sutadji Eddy Triswanto Setyoadi Eddy Triswanto Setyoadi Ega Putriatama Eko Setiawan Eko Setiawan Ekohariadi Ekohariadi Elfia Najib Kholifiatin Evania Kurniawati Fachrul Kurniawan Fadli Hidayat, M. Noer Fahmi Efendi Yusuf Fandi Akhmad Kurniawan Fatmawati, Hefi Fawaidul Badri Ferdiansyah, Dodik Septian Fikha Rizky Aullia Firman Syahputra, Yohanes Dhimas Fitri Indra Kusumaningtyas Giri Wahyu Wiriasto Gülsün Kurubacak Hakkun Elmunsyah Hanifah, Nida Hanna Zakiyya Hari Putranto Harits Ar Rosyid Harmanto Harmanto Hartarto Junaedi Hary Suswanto Hermansyah, Winda Adelia Heru Wahyu Herwanto Hidayat, Manik I Made Sudana I Made Wirawan Ikhwan Arif Ilmam, Thirafi Imam Alfianto Indraswari, Martha Devi Isnandar Jayadi, Puguh Joumil Aidil Saifuddin Julfikar Mawansyah Karaman, Jamilah Kartika Candra Kirana Kholiqin, Sabrina Nabila Khusnul Hidayat Kurniawan, Rivan Adi Kurniawan, Singgih Adie Kurubacak, Gulsun Lailatus Sa’adah Lokapitasari Belluano, Poetri Lestari Luqman Affandi M Ibrahim Ashari M. Djunaidi Ghony M. Zainal Arifin M. Zainal Arifin Mahali, Mahali Manik Hidayat Manik Hidayat Marji Marji Maskur Maskur Massitta Massitta Masyfa, Faiz Hilmawan MAULA, PUTRINDA INAYATUL Meidy, Ria Devita Meidy, Ria Devita Mentari, Febiana Putri Moh. Afifullah Mohamad Ilham Mokh Sholihul Hadi Mubarok, Sulton Muhamad Syamsu Iqbal Muhammad Auva Romadhon Muhammad Hamdan Al Mukafi Muhammad Hudan Rahmat Muhammad Maulana Akbar Mukhamad Angga Gumilang Muladi Nafi Isbadrianingtyas Naimu Shudur Naurah Septi Anggraini Nia Arlika Nidhom, Ahmad Mursyidun Ningrum, Gres Dyah Kusuma Nunung Nurjanah Nur Aini Susanti Nur Eva Nur Hidayat, Wahyu Nur Hikmah Nurul Hidayati Odhitya Desta Oki Dwi Yuliana Perdana Putra, Muhammad Ricky Prasetyo, Wiji Dwi Prayoga, Adie Purnomo, Purnomo Putri Alivia Nabila R. Mahmud Sugandi Rachman Kurniawa Rachman Kurniawan Rachman, Tegar Fatur Rahajeng Kartika Sari Rahmadita Sugma Ryanti Rahmawati, Chusnia Ramadiani, Nanda Resta Rasif Nidaan Khofia Ahmadah Resti Pranata Putri Ria Devita Meidy Rinjani Alega Dio Saputra Rizal, Muhammad Fatkhur Rokhimatul Wakhidah Rudi Irmawanto Rumambi, Frendy Rocky Sakkinah, Intan Sulistyaningrum Sari, Heni Vidia Sari, Rahajeng Kartika Setyawan Aji Samudra Shofiyah Al Idrus Siti Munawaroh Siti Sendari Slamet Wibawanto Soenar Soekopitojo Sri Sumanti, Endang Suastika Yulia Riska Suci Lestari Sunu Jatmika, Sunu Suparji Suparji Sutapa, Yohanes Gatot Syamsul Hadi Syeh Umar Anggana Taufik Hidayat Titasari Rahmawati Tiya Nurul Khusna Tri Atmadji Sutikno Tri Wrahatnolo Triyana Widiyaningtyas Triyanna Widiyaningtyas Triyanna Widiyaningtyas Tuwoso Usman Nurhasan Wahyu Sakti Gunawan Irianto Waras Waras Yuli Sutoto Nugroho Yuliana, Oki Dwi Yuniardi, Gigih Dwi Yussi Anggraini Zaeni, Ilham Ari Elbaith Zulfikar, Nizam Muchammad

Title

Found 84 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 84 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 84 Documents
Search