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All Journal JURNAL SAINS PEMASARAN INDONESIA ELKHA : Jurnal Teknik Elektro Althea Medical Journal Journal The Winners Prosiding SNATIF Scientific Journal of Informatics Pedagogik : Jurnal Ilmiah Pendidikan dan Pembelajaran Fakultas Tarbiyah Unversitas Muhammadiyah Aceh Jurnal Kedokteran JURNAL KONFIKS ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Deformasi PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Penelitian Karet Sistemasi: Jurnal Sistem Informasi Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik Universitas Medan Area AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal Geografi IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) INOVTEK Polbeng - Seri Informatika Jurnal Organisasi Dan Manajemen Jurnal Laut Khatulistiwa Jurnal Ulul Albab Scientific Journal of Reflection : Economic, Accounting, Management and Business SEIKO : Journal of Management & Business Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Kebijakan Perikanan Indonesia Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal Jurnal Kreativitas PKM Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JURNAL AGRICA Jurnal Rekayasa Hijau Dewa Ruci : Jurnal Pengkajian dan Penciptaan Seni Gelar : Jurnal Seni Budaya JTP - Jurnal Teknologi Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Sehat Mandiri EDUMATIC: Jurnal Pendidikan Informatika Journal Of Management Science (JMAS) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Jurnal Review Pendidikan dan Pengajaran (JRPP) Poltekita : Jurnal Ilmu Kesehatan Social, Humanities, and Educational Studies (SHEs): Conference Series Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Syntax Idea Diligentia: Journal of Theology and Christian Education Titian: Jurnal Ilmu Humaniora Agro Bali: Agricultural Journal Jurnal Vokasi Community Engagement and Emergence Journal (CEEJ) Management Studies and Entrepreneurship Journal (MSEJ) JURNAL SeMaRaK Jurnal Industri Kreatif dan Kewirausahaan Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) JURNAL ABDIMAS TRIDHARMA MANAJEMEN Tax Literacy and Leadership Agility: Indigenous Peoples Awareness in Paying Taxes Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Perak Malahayati : Pengabdian Kepada Masyarakat Jurnal Abdimas Bina Bangsa Jurnal Pengabdian Masyarakat Nusantara Jurnal Agristan Jurnal Ekonomi Humantech : Jurnal Ilmiah Multidisiplin Indonesia Indonesian Collaboration Journal of Community Services (ICJCS) Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmiah Management Agribisnis (Jimanggis) TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Tameh : Journal of Civil Engineering Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Asian Journal of Healthcare Analytics CONSEN: Indonesian Journal of Community Services and Engagement Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia International Journal of Educational Research Excellence (IJERE) Journal of Artificial Intelligence and Digital Business Experimental Student Experiences TELL - US JOURNAL Jurnal Kebidanan, Keperawatan dan Kesehatan (J-BIKES) Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bangsa Jurnal Manajemen Sistem Informasi Jurnal Pelangi Linguistika Kultura: Jurnal Linguistik Sastra Berdimensi Cultural Studies Jurnal Ilmiah Multidisiplin Indonesia JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Community Services: Sustainability and Empowerment Jurnal Kesehatan Lingkungan Mandiri Jurnal Keadaban: Jurnal Sosial dan Humaniora Jurnal Wasatiyah: Jurnal Hukum JTPPm (Jurnal Teknologi Pendidikan dan Pembelajaran) : Edutech and Intructional Research Journal CSRID Media Penelitian dan Pengembangan Kesehatan Jurnal Cendekia Ilmiah Elementary Education Research Sahur Journal JIM Sendratasik
Lindawati Lindawati
Program Studi Kepemerintahan, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Medan Area
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Evaluating Entropy-Based Feature Selection for Sales Demand Forecasting Using K-Means Clustering and Naive Bayes Classification Wulandari, Fadhilah Dwi; Lindawati, Lindawati; Fadhli, Mohammad
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.37046

Abstract

Sales demand forecasting is crucial for inventory optimization in retail, especially for Micro, Small, And Medium Enterprises (MSMEs). This study examines the effect of entropy-based feature selection on the performance of a two-stage machine learning framework comprising K-Means clustering and Naive Bayes classification. The research was conducted on transactional data collected from a footwear MSME in Palembang, Indonesia, covering January to December 2024. Shannon Entropy and Information Gain were applied to identify and retain the most informative features before clustering and classification tasks. Two experimental scenarios were investigated: (1) using all features without selection and (2) applying entropy-based feature selection with Information Gain thresholds of 0.4 and 0.5 for category-based and quantity-based targets, respectively. The first scenario yielded moderate performance, with a Silhouette Score of 0.5747 and a classification accuracy of 96.97%. In contrast, the second scenario demonstrated superior results, achieving a Silhouette Score of 0.6261 and a classification accuracy of 99.49% when quantity sold was used as the target variable. These findings indicate that entropy-based feature selection reduces data dimensionality, enhances clustering compactness, and improves classification accuracy. This research contributes to the field by presenting a practical framework for sales demand forecasting in retail environments. Future work will focus on integrating additional contextual variables, such as seasonal trends and promotions, and validating the system in real-world retail settings
Optimasi Kendali PID berbasis IoT pada Oven Listrik untuk Pengeringan Rempah yang Presisi Pratama, Bambang; Salamah, Irma; Lindawati, Lindawati
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30537

Abstract

Unstable spice drying can reduce active compound content by up to 30% and increase the risk of microbial contamination by up to 40%, while conventional temperature control does not ensure thermal stability. This study aims to develop an IoT-based drying system using a PID algorithm to maintain temperature stability and allow remote monitoring and control. The research followed the waterfall model, starting from needs analysis, hardware and software design, PID implementation using a trial-and-error approach, IoT application development with Kodular and Firebase, system integration, and full system performance testing. Key components include the DS18B20 temperature sensor, ESP32, heating element, and IoT platform. Software testing used the black box method, while hardware testing evaluated performance through overshoot, steady-state error, settling time, disturbance simulation, and comparison with the on-off control method. The resulting system automatically regulates temperature with a PID algorithm and enables real-time monitoring via mobile devices. Testing showed the PID system was more stable than the on-off method, with overshoot <4°C, steady-state error <1.5°C, settling time of ±750 seconds, and quick response to disturbances. The mobile application operated reliably without errors, enhancing the quality and precision of the spice drying process.
Pemasangan Panel Surya Sebagai Energi Alternatif di Pesantren Darul Hikmah, Kabupaten Aceh Besar Rahmawati, Cut; Muhtadin, Muhtadin; Mahyuddin, Mahyuddin; Lindawati, Lindawati; Effendy, Amalia; Noviandy, Teuku Rizky; Sufri, Rahmat; Anisah, Anisah; Faisal, Muhammad; Mutaqin, Raihan; Fatani, Muhammad; Alfharijy, Muhammad Daffa
ABDIMASKU : Jurnal Pengabdian Masyarakat UTND Vol 4 No 1 (2025): Edisi Januari 2025 - Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/jpmtnd.v4i1.1601

Abstract

This activity aims to provide students with an understanding of the importance of renewable energy usage and to raise awareness about sustainability. It took place at the Darul Hikmah Islamic Boarding School located in Geundring Village, Darul Imarah District, Aceh Besar Regency. The methodology employed included socialization, discussions, and practical training on solar panel installation. Participants comprised a team from the Faculty of Engineering at Abulyatama University and students from Darul Hikmah Islamic Boarding School.The outcomes of this initiative include the successful dissemination of information regarding the benefits of solar panels as an alternative energy source, as well as the installation of one solar-powered lamp that can provide lighting at night and enhance the quality of the boarding school’s facilities. The students gained a better understanding of renewable energy through socialization and discussions. They learned about the benefits and operation of solar panels and the significance of environmental sustainability. This activity contributed to raising the students' awareness of the need to transition to more environmentally friendly energy sources, thereby potentially stimulating further renewable energy initiatives.
The Influence of Corporate Social Responsibility, Fiscal Loss Compensation, and Executive Risk Preference on Tax Avoidance Lindawati, Lindawati; Putri, Wulandari Cahyani; Muarif, Syamsul
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 4 No. 7 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2025
Publisher : Sean Institute

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

Abstract

Tax avoidance remains a critical issue for governments and businesses, as it directly impacts state revenue, corporate reputation, and public trust. In Indonesia’s food and beverage industry, the complexity of regulations and diverse corporate strategies create opportunities for tax avoidance that warrant closer examination. This study analyzes the influence of corporate social responsibility, fiscal loss compensation, and executive risk preference on tax avoidance among food and beverage companies listed on the Indonesia Stock Exchange during 2018–2022. Using a quantitative approach, the research employs secondary data from annual financial reports and applies panel data regression analysis. The results show that, simultaneously, all three variables significantly affect tax avoidance. However, partially, corporate social responsibility and fiscal loss compensation have no significant effect, while executive risk preference has a significant negative impact, indicating that risk-averse executives are less inclined to adopt aggressive tax strategies. These findings provide empirical evidence on behavioral and institutional factors shaping corporate tax behavior and highlight the role of executive characteristics in tax policy. The study is limited by its sector-specific sample and selected variables, suggesting opportunities for broader research in the future.
A Comparative Study of Machine Learning Classifiers with SMOTE for Predicting Purchase Intention Khairunnisa, Khairunnisa; Soim, Sopian; Lindawati, Lindawati
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7615

Abstract

The rapid growth of e-commerce has made it increasingly important for online platforms to understand user behavior, particularly in predicting purchasing intention. This study examines the implementation of three machine learning models: Logistic Regression, Random Forest, and Gradient Boosting, to classify purchase intention using real transaction session data. One of the primary obstacles confronted in this investigation is the matter of class imbalance found in the dataset, where 10422 records indicate no purchase while only 1908 indicate a completed purchase. This disparity may result in a biased model performance that prioritizes the dominant class and limits the ability to accurately detect minority class behavior, which in this case is the actual purchase. To resolve this matter, During the data preprocessing phase, the Synthetic Minority Over-sampling Technique (SMOTE) was implemented. Accuracy, precision, recall, and F1-score metrics were implemented to assess each model's functionality. The results indicate that following the implementation of SMOTE, the Random Forest model attained the best accuracy of 93%, succeeded by Gradient Boosting at 90% and Logistic Regression with 84%. These findings demonstrate that the use of SMOTE significantly improves model sensitivity and balance. This study provides useful insights into designing fairer and more effective predictive systems in the field of e-commerce.
Pengembangan Algoritma Convolutional Neural Network dalam Menganalisis Emosi Suara Menggunakan Mel-Spektogram Zakka, Iqlima Sabila; Rakhman, Abdul; Lindawati, Lindawati
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7875

Abstract

Speech Emotion Recognition (SER) still faces challenges in accuracy, especially in distinguishing acoustically similar emotions. Conventional approaches such as MFCC (Mel Frequency Cepstral Coefficients) are often ineffective in capturing the emotional nuances of voice. To address this, this study aims to develop a Convolution Neural Network (CNN) model based on the Spec-ResNet architecture that uses Mel-Spectrogram as input to improve the system's ability to extract and recognize emotional signatures from speech signals. Another objective is to evaluate the performance of primary emotion classification in the RAVDESS dataset and measure model consistency through 5-fold cross-validation. The model used, Spec-ResNet, is an adaptation of the ResNet architecture equipped with residual learning to maximize the multi-stage feature extraction process. Experiments were conducted with the RAVDESS dataset containing 1,440 voice samples from six primary emotions: neutral, happy, sad, angry, afraid, and surprised. The test results showed a significant increase in accuracy, with a macro score reaching 92%, up from the MLP/SVM baseline of 83%. Neutral and happy emotions were classified very well (F1-scores of 93% and 90%), but emotions such as fear and surprise remained difficult to distinguish due to the similarity of their vocal patterns. Validation through 5-fold cross-validation yielded an average accuracy of 91.5% ± 0.8%. This study demonstrates the great potential of Mel-spectrograms in SER, while also underscoring the need for advanced approaches such as attention mechanisms to handle ambiguous emotions.
Analisis Pelaksanaan Program Keluarga Harapan (PKH) dalam Mensejahterakan Perekonomian Masyarakat di Desa Alassumur Lor Kecamatan Besuk Kabupaten Probolinggo Junaedi, Deddy; Lindawati, Lindawati; Alfiatun, Alfiatun
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 2, No 3 (2021): Pengembangan Teknologi dan Kesehatan di Lembaga Keagamaan
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.606 KB) | DOI: 10.33650/trilogi.v2i3.2838

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana dampak perekonomian masyarakat desa Alassumur Lor setelah menerima bantuan Program Keluarga Harapan (PKH) dari pemerintah. Metode yang digunakan dalam penelitian ini adalah dengan menggunakan deskriptif kualitatif, karena penelitian ini menghasilkan data-data yang merupakan gambaran hasil pelaksanaan program PKH. Program Keluarga Harapan merupakan salah satu program pemberian bantuan sosial pada keluarga miskin yang rentan oleh Kementerian Sosial RI dengan berbagai syarat. Hasil dari penelitian ini adalah 1) Pelaksanaan PKH dalam meningkatkan taraf kesehatan desa Alassumur Lor Kecamatan Besuk Kabupaten Probolinggo terdapat beberapa kendala, yaitu pendamping desa dalam melakukan perannya dengan baik, serta kurangnya kesadaran peserta PKH dalam melaksanakan komitmen sesuai dengan yang ditentukan. 2) Adanya hambatan-hambatan dalam pelaksanaan PKH dalam meningkatkan kesehatan masyarakat desa Alassumur Lor Kecamatan Besuk Kabupaten Probolinggo, antara lain: dalam proses pemutakhiran data peserta PKH, proses penyelesaian pengaduan belum dapat diselesaikan oleh pendamping secara cepat, keterbatasan sumber daya pendambing. 3) Adanya upaya-upaya yang ditempuh dalam mengatasi hambatan-hambatan yang timbul dalam pelaksanaan PKH desa Alassumur Lor Kecamatan Besuk Kabupaten Probolinggo antara lain meningkatkan pertemuan dengan masyarakat untuk melakukan diskusi terkait penyelesaian masalah PKH, melakukan pendekatan dan pengawalan setiap pengaduan masyarakat, meningkatkan kerjasama dengan petugas kesehatan.
Fostering creativity and cultural bonds: revitalizing kasab crafts through arts education and community engagement in West Aceh, Indonesia Lindawati, Lindawati; Naam, Muh Fakhrihun; Ismawan, Ismawan; Supadmi, Tri
Gelar: Jurnal Seni Budaya Vol. 21 No. 1 (2023)
Publisher : Institut Seni Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33153/glr.v21i1.5108

Abstract

This study aims to examine the school's efforts in introducing and preserving Kasab in West Aceh through art education and community collaboration. Kasab is gold thread embroidery on velvet cloth which is widely used in Acehnese weddings as a cultural product. Kasab was introduced to art education at the West Aceh High School through arts and culture subjects. This study used a qualitative approach. The research was conducted in five high schools in West Aceh District, Indonesia. Data collection techniques were carried out through interviews with students, teachers who teach arts and culture, and Kasab craftsmen. In addition, observations were also conducted to observe the collaborative learning process of the community and teachers, as well as literature studies on community collaboration and art education in the field of crafts. The results of the study show that collaborative art education in schools and communities regarding the introduction and process of making Kasab crafts is taught in the fine arts course, which begins with making decorative motifs. Next, the Kasab crafts were embroidered with gold thread. Students and teachers performed field studies at the Kasab craftsmen's place to observe the process of making Kasab. Later on, the students practice making Kasab at school, guided by the teacher and Kasab craftsmen. This activity is very important to be performed in every high school as an effort to preserve the Kasab craft in the West Aceh district.
MINAT DAN BAKAT SISWA TERHADAP PEMBELAJARAN SENI TEATER DI SMA NEGERI 1 BIREUEN Audina, Reka; Selian, Rida Safuan; Lindawati, lindawati
Jurnal Ilmiah Mahasiswa Sendratasik Vol 8, No 1 (2023): FEBRUARI 2023
Publisher : Program Studi Pendidkan Seni Drama, Tari dan Musik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/sendratasik.v8i1.26290

Abstract

Penelitian yang berjudul minat dan bakat siswa terhadap pembelajaran seni teater di SMA Negeri 1 Bireuen penelitian ini bertujuan untuk melihat hasil persentase minat dan bakat siswa terhadap pembelajaran seni teater di SMA Negeri 1 Bireuen. Jenis penelitian yang digunakan adalah penelitian deskriptif dengan metode kualitatif. Subjek dalam penelitian ini adalah siswa kelas XI SMA Negeri 1 Bireuen tahun ajaran 2020/2021 terdiri atas empat kelas yang berjumlah 72 orang siswa. Data dikumpulkan melalui lembar kuesioner. Teknik analisis data yang digunakan reduksi data, penyajian data, verivikasi dan penarikan kesimpulan. Hasil penelitian menunjukkan minat dan bakat siswa SMA Negeri 1 Bireuen tersebut ditinjau dari lembar kuesioner. Berdasarkan hasil data penelitian maka diperoleh minat dan bakat siswa terhadap pembelajaran seni teater di SMA Negeri 1 Bireuen bahwa sebanyak 60,09%% siswa yang berminat dan berbakat pada seni teater dan 26,10% kurang berminat dan berbakat pada seni teater sedangkan 13,79% siswa tidak sama sekali berminat dan berbakat pada seni teater. Berdasarkan hasil penelitian tersebut maka dapat disimpulkan bahwa jumlah siswa yang berminat dan berbakat lebih banyak dibandingkan siswa yang tidak berminat dan bakat. Sedangkan hasil penilaian tes bakat pada siswa kelas XI yang berjumlah 4 (empat) kelas yaitu XI IPS A, XI IPS B, XI IPA B, dan XI IPA F yang sangat berbakat adalah 88,88% yang berbakat adalah 87,5% yang kurang berbakat adalah 72,22% dan tidak sama sekali berbakat adalah 47,22%.Kata kunci: minat, bakat, seni teater.
KAJIAN FILOSOFI MOTIF RAGAM HIAS PADA PERANGKAT ADAT KEMATIAN DI DESA ALUE THO KECAMATAN SEUNAGAN KABUPATEN NAGAN RAYA Maulida, Putri; Supadmi, Tri; Lindawati, lindawati
Jurnal Ilmiah Mahasiswa Sendratasik Vol 8, No 1 (2023): FEBRUARI 2023
Publisher : Program Studi Pendidkan Seni Drama, Tari dan Musik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/sendratasik.v8i1.26276

Abstract

Penelitian yang berjudul Motif Ragam Hias pada Perangkat Adat Kematian di desa Alue Tho Kecamatan Seunagan Kabupaten Nagan Raya permasalahan yang terdapat dalam penelitian ini bagaimana filosofi motif ragam hias yang terdapat pada tilam gulung dalam adat kematian di desa Alue Tho Kecamatan Seunagan Kabupaten Nagan Raya. Adapun tujuan dari penelitian ini adalah mendeskripsikan filosofi motif ragam hias yang terdapat pada tilam gulung dalam perangkat adat kematian di desa Alue Tho Kecamatan Seunagan Kabupaten Nagan Raya. Penelitian ini menggunakan pendekatan kualitatif. Jenis penelitian ialah deskriptif dan Subjek penelitian ini adalah Yuliana sebagai pengayam tilam gulung di desa Alue Tho. Objek dalam penelitian ini adalah tilam gulung di desa Alue Tho Kecamatan Seunagan Kabupaten Nagan Raya. Teknik pengumpulan data dilakukan dengan teknik observasi, wawancara dan dokumentasi. Analisis data menggunakan teknik reduksi data, penyajian data dan memverifikasikan data. Hasil penelitian menunjukkan nilai filosofi ragam hias pada motif tilam gulung di desa Alue Tho Kecamatan Seunagan Kabupaten Nagan Raya adalah, Bungong Jeumpa (Keharuman), Bungong Keupula (Kesuburan), Bungong Seulanga (Keharuman), Bungong Aneuk Abik (Keharuman), Bungong Meulu (Kesucian), Pucok Reubong (Adat Istiadat), Pucok Paku (Keindahan), Taloe Meuputa (Penjaga Silahturahmi), Awan Si Oen (Keindahan).Kata Kunci: Motif Ragam Hias, Filosofi, Makna, Tilam Gulung
Co-Authors . Zulfan A Halim A. Fitriani Abdul Rakhman Abdul Rauf Abelia, Dinda Dwi Ade Silvia Handayani Adeliana, Adeliana Adelita Lubis, Adelita Afdhal Afdhal Affrylia, Gita Afkar, Mufidul Afridayani, Afridayani Afridon, Afridon Agatha, Adelia Agustiar agustiar Ahmad Syai Ahmad Taqwa Ahmadin Ahmadin Ahmadin Akmalia, Alfi Alaisyi, Alaisyi Aldo, Ketut Alfharijy, Muhammad Daffa Alfiansyah, Ikhwan Alfiatun, Alfiatun Alliya, Annisa Ul Alvionita, Gusni Am, Zakiati Amalia Amalia Amelianda, Amelianda Amiza, Ibel Dwi Amri Amin Andila, Tria Anggraini, Anggun Anisah Ardelia, Naila Arifani, Rizka Arifin Soenggono, Arifin Arlinda, Sari ARMEN ZULHAM Arsella, Shendy Aryanti Aryanti Asriyadi Asriyadi Astari, Devina Atminingsih Atminingsih, Atminingsih Audina, Reka Aulia, Muhammad Rafi Awalia Gusti Az-zahra, Maudhy Azizah, Nur Putri Azwandi Azwandi Azzahra, Siti Baehaqi Bakhir , Norfarizah Mohd Bambang Pratama, Bambang Baso Intang Sappaile, Baso Intang Bunyamin Bunyamin Buulolo, Merlinus Chairunnisaak, Mariam Cucu Atikah Cut Rahmawati Cut Zuriana Damiati, Tri Darwel, Darwel Deddy Junaedi Dewi Maya Sari Dharmalau, Andy Didit Haryadi Dina Mayadiana Suwarma Effendy, Amalia Eka Pradani, Rizki Febri Eka Putri, Yuliantini Eka Susanti Eka Susanti, Eka Susanti Elmerillia, Elmerillia Elvina, Aminah Enda Kartika Sari Endang Larasati Eri Yusni Ermawati, Yuli Fadhli, Mohammad Fadmawati, Any Fadmawaty, Any Faisal Ahmadi Fatani, Muhammad Febriani, Dina Fitri Wardani, Erika Fitri, Aida Fitriadi, Nuzuli FITRIYANTI, RAMADHINA Frenica, Agnes Gameli, Cahyani Rahmi Garnita, Ria Ghodina, Aurina Willy Ghufran S., Mufti Miadi Gusdi Sastra, Gusdi Hadir Hudiyanto, Hadir Hafsaridewi, Rani Hanah, Siti Handayani, Sri Hardi Siswo, Hardi Hasmawaty, Hasmawaty Hedra Bayu, Hendi Hesniati, Hesniati Hidayah, Hidayah Hidayat, Sholeh Hikmah Hikmah Holiawati, Holiawati HS, Alicia Husin, M. Husna, Ainul Ida Zulfida, Ida Iif Rahmat Fauzi, Iif Rahmat Iin Rosini Ikhsan Yuda Pratama Indah Sari, Dewi Indawati, Indawati Iqbal Iqbal Iqmy, Ledy Oktaviani Irma Salamah Irma Suryani Ironia Vivie Susanti, Ironia Vivie Ismawan Ismawan, Ismawan Iswanda, Odi Ivan Suaidi Iwan Setiawan Jaelani, Yunesti Jaifan, Muhammad Jamjuri, Endi Jamratul Ula Jannah, Syifaul Joey, Joey Joline, Juliana Jonathan Ginting juliana, Nanin Khairunnisa Khairunnisa Khairunnisya, Aqilla Khie, Sak Komariah, Eneng Kurniasi, Dia Kurnita, Taat Lanza Pahlevi, Muhammad Lase, Yolanda Leni Marlina Lestari, Khotifah Puji Leuwol, Ferdinand Salomo Lili Dianah Lili Rahmah, Laylatul Lina Lina Linda Junia Ningsih Listiorini, Dewi Lucyana Lucyana, Lucyana Lukman Hakim M. Ridha Madiyoh, Abdulhakim Maharani, Ullya Dwi Maisun, Maisun Maizal, Ilham Mamusung, Robby Tanod Mardiana, Dinny Mardikawati, Budi Margie, Lyandra Aisyah Marietta Shanti Marita, Tia Martianingsih, Baiq Lilik Martinus Mujur Rose Marza, R. Firwandri Maulida, Putri Maulidin, Aula Maulin, Siti Maulisa, Ella Mayanda, Afrida Rizki Mediana, Salwa Deta Meliyana Meliyana, Meliyana Mirdayanti, Rina Monika, Sinar Monika, Sinar Mu'arif, Syamsul Muchlis, Yusrizal Muhammad Alwi Muhammad Faisal Muhammad Iqbal Muhtadin Muhtadin Mukhlis Mukhlis Mulyani, Riri Muniroh, Leny Muslim, Burhan Muslimah, Rina Mutaqin, Raihan Muthaharah, Muthaharah Na:am, Muh Fakhrihun Nadra, Nadra Nasution, Siti Khadijah Hidayati NETTI KARIANI MENDOFA Novarijah, Syarifah Novianda, Nabila Rizqi Novianda, Nabila Rizqia Noviani, Fadiah Nur, Erdi Nurfi, Nurfi Nurhajar Anugraha Nurhanifa, Nurhanifa Nurjihan, Nisrina Nurlaili Nurlaili Nurul Wardani Lubis Nurwijayanti Palawi, Ari Palin T, Yona Paryanto, Alfin Dwi Pratiwi, Sandy Purba, Mas Intan Purnamarini, Tri Ratna Putri Vandalis, Yoke Annisa Putri, Wulandari Cahyani Rabbani, Ali Rabbaniansyah, Kgs Muhammad Farhan Rabiah, Nur Nabila Radifan, Hadyan Hilman RADITE TISTAMA Rahayu, Novianti Dwi Rahmanta`, Rahmanta Rahmawati, Cut Raihan, Ahmad Raihanah, Adinda Rajes Ikhlas Rosaguna, Rajes Ikhlas Ramadhan, Andi Ramadhan, Muhammad Fadli Ratna Novita Punggeti RD Kusumanto Reo, Petrus Renol Rida Safuan Selian Rina Herawati, Augustin Riviwanto, Muchsin Rizka Fadli Wibowo, M. Roiyan, Lalu Muhammad Rudiyanto Rudiyanto, Rudiyanto Rufi'i Rukiyanto Rukiyanto, Rukiyanto Safitry, Yuwaffy Safriyani, Lia Saharani, Saharani Salsabila, Meidita Salsabila, Raina Saptanto, Subhechanis Saptanto, Subhechanis Sarhindi, Sarhindi Sari Wardani Sari, Rani Purnama Sarjana Sarjana Sarjono Sarjono, Sarjono Sasrita, Bysmira Septiana, Ardilla Septiani, Rizka Ayu Septina, Phuja Tawilla Sholihin Sholihin Silfia Silfia, Silfia Silviana, Mery Sipasulta, Grace Carol Siti Hawa Sitorus, Abdoni Sopian Soim, Sopian Sopian, Adi Sri Wahyuni Suandari, Fitri Sufri, Rahmat Suksmerri Suksmerri Sume, Syahlan A. Supadmi, Tri Suryani Suryani SURYANI, TRIA ANANDA Suyuti Suyuti suzan zefi Syahardi, Amri Syahbana, Mahdi Syahril Syahril Syamsul Muarif T. Sabrina Tengku Hartati Tengku Riza Zarzani N Tetep Tety Sriana Teuku Rizky Noviandy Tiurma, Tiurma Triani, Susi Trianov, Rilky Triasensi, Sherlya Tumilantouw, Kireina Gabriela Ul Karimah, Lulu Umi Salamah Ummir, Badril UTAMI, FUTRI Utami, Futri Valerie, Michelle Viviani, Viviani Wahdah Wahyudin, Mokhammad Wardani, Happy Kusuma Wardani, Sari Wasludin, Wasludin Wibowo, Rulianda P. Widianty, Anggie Wijayantono, Wijayantono Wilyuza, Wilyuza Witomo, Cornelia Mirwantini Wulandari, Fadhilah Dwi Wulandari, Widyana Wusqa, Asy Syifa Urwatul Yanti Yanti Yulianto Yulianto Yuliasari, Dewi Yusnita, Emilia Zakka, Iqlima Sabila Zamakhari, Ahmad Zardi, Muhammad Zulprianto Zulprianto