Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

10.464

P-Index

This Author published in this journals

All Journal Teknika Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Cannarium (Jurnal Ilmu-ilmu Pertanian) Jurnal Teknologi Informasi dan Ilmu Komputer Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) International conference on Information Technology and Business (ICITB) jurnal Teknologi Informasi Magister Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal Biologi Tropis JMM (Jurnal Masyarakat Mandiri) Prosiding Seminar Nasional Darmajaya Jurnal Keperawatan Muhammadiyah Jurnal Medika Malahayati BUANA SAINS Journal of Health Sciences Diakronika Jurnal Teknologi Informasi dan Multimedia Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat PUBLIKASI PENELITIAN TERAPAN DAN KEBIJAKAN Jurnal Penelitian Pendidikan, Psikologi Dan Kesehatan (J-P3K) Yumary: Jurnal Pengabdian kepada Masyarakat Journal of Applied Data Sciences Agrokompleks Jumat Ekonomi: Jurnal Pengabdian Masyarakat Jurnal Development Jurnal Abdimas Bina Bangsa JUSTIN (Jurnal Sistem dan Teknologi Informasi) Prosiding Konferensi Nasional PKM-CSR Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pijar MIPA Batara Wisnu : Indonesian Journal of Community Services Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Publika Pengabdian Masyarakat JAPI: Jurnal Akses Pengabdian Indonesia Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Islam & Contemporary Issues Eduvest - Journal of Universal Studies Madani: Multidisciplinary Scientific Journal Huma: Jurnal Sosiologi DIANKES : Jurnal Pengabdian Teknologi Informasi dan Kesehatan Jurnal Ilmiah Multidisiplin Indonesia SmartComp Journal of Management and Informatics Jurnal Informatika: Jurnal Pengembangan IT Imamah : Jurnal Manajemen Pendidikan Islam Jurnal Penelitian dan Pengkajian Ilmiah Oftalmologi: Jurnal Kesehatan Mata Indonesia Hayak Bamara: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Trends in Infection and Global Health Al-HIbru: Jurnal Ilmu Bahasa Arab dan Pembelajarannya SWAGATI: Journal of Community Service JIMAD : Jurnal Ilmiah Multidisiplin Jurnal Abdimas UM Jambi Jurnal Penelitian, Pengabdian dan Pemberdayaan Masyarakat Atestasi : Jurnal Ilmiah Akuntansi Journal of Green Chemical and Environmental Engineering Folia Medica Indonesiana

Hendra Kurniawan

Institut Informatika Dan Bisnis Darmajaya

Author-ID : 301859

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 : 104 Documents Claim Missing Document

Claim Missing Document

Articles

5 6 7 8 9

Meta-Analysis: Seasonal Variations in pH Concentration and Their Impact on River Water Quality Hendra Kurniawan; Oktaviani, Eva; Marpaung, Sutan Sahala Muda; Kurniawan, Hendra; Syah, Firman
Jurnal Biologi Tropis Vol. 25 No. 4 (2025): Oktober-Desember
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4.10216

Water is a vital resource, yet its quality is increasingly affected by climate change and human activities. Seasonal variations, particularly between dry and rainy periods, may influence river water quality, with pH serving as a key chemical parameter. This study aimed to examine the effect of seasonal differences on river water pH levels using meta-analysis. The objective was to provide evidence of whether rainfall patterns significantly alter pH concentrations in tropical and subtropical regions. Relevant literature was collected from online databases using keywords such as “water pollution,” “dry season,” and “wet season.” Out of more than 40 studies, four articles with complete seasonal pH data were selected. Data were processed using OpenMEE software with a random-effects model, and the log response ratio (lnRR) was applied to compare pH values between dry (control) and rainy (treatment) seasons. The analysis revealed no significant seasonal differences in pH levels. The overall effect size was weak (–0.758), with the 95% confidence interval crossing zero. Heterogeneity among studies was high (I² = 80.325%), yet subgroup analyses by region, climate, and location confirmed consistent results. In conclusion, river water pH in tropical and subtropical areas remains relatively stable across seasons, influenced by steady climate conditions, well-mixed water bodies, and consistent vegetation. Broader datasets, especially from Indonesia, are needed to validate these findings.

Strategi Marketing Lembaga Pendidikan Islam: Adaptasi Pesantren dan Madrasah di Era Society 5.0 Kurniawan, Hendra
JURNAL PENELITIAN PENDIDIKAN, PSIKOLOGI DAN KESEHATAN (J-P3K) Vol 4, No 3 (2023): J-P3K DESEMBER
Publisher : Yayasan Mata Pena Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51849/j-p3k.v4i3.228

Tujuan penelitian mendeskripsikan strategi marketing yang dilakukan pesantren serta madrasah di era society 5.0, situs penelitian ini ialah 1) MA Tahfizhul Qur’an, 2) MAN 1 Medan. Penelitian ini menggunakan pendekatan kualitatif dengan mengumpulkan sumber data terkait tentang stretagi marketing. Sedangkan observasi, wawancara, serta dokumentasi merupakan teknik pengumpulan data yang diperoleh dari yayasan, struktur sekolah/madrasag, peserta didik, masyarakat. Hasil penelitian ini : 1) MA Tahfizhul Qur’an, melakukan identifikasi pasar; observasi strategi pesantren-pesantren baru dalam melakukan praktik pemasaran jasa pendidikan, teknik positioning; dilakukan dalam strategi pembedaan berdasarkan tagline dari madrasah, komunikasi pemasaran : mouth to mouth masih menjadi srategi yang baik pada penerapannya. 2) MAN 1 Medan, melakukan layanan pembelajaran yang sangat baik; penerapan kurikulum merdeka yang dilakukan dapat menjadi jalan melakukan peningkatan kualitas madrasah, media sosial; melalui akun madrasah keseluruhan aktifitas baik secara individual atau keikutsertaan akan juga menjadi hal penting pada media sosial. Dalam menyambung aktifitas marketing, kedua lembaga pendidikan Islam ini tentu banyak melakukan perbaikan diantaranya pembaruan strategi, sosialisasi secara langsung, serta pemanfaatan Instagram sebagai salah satu media publikasi.

Progressive Massive Fibrosis Detection Using Generative Adversarial Networks and Long Short-Term Memory Irianto, Suhendro Y.; Karnila, Sri; Hasibuan, M.S.; Dewi, Deshinta Arrova; Kurniawan, Tri Basuki; Kurniawan, Hendra
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.v6i4.707

Contribution: Progressive Massive Fibrosis (PMF) is a severe form of pneumoconiosis, affecting individuals exposed to mineral dust, such as coal miners and workers in the artificial stone industry. This condition causes significant pulmonary impairment and increased mortality. Early and accurate detection is vital for effective management, yet traditional diagnostic methods face challenges in differentiating PMF from other pulmonary diseases due to variability in clinical presentations and limitations in imaging techniques. Idea: The study introduces a novel diagnostic framework that integrates Generative Adversarial Networks (GAN) and Long Short-Term Memory (LSTM) networks to enhance the detection and monitoring of PMF. The GAN generates high-fidelity synthetic imaging data to address the issue of limited datasets, while the LSTM network captures temporal patterns in patient data, enabling real-time monitoring of disease progression. Objective: The primary objective of this research is to develop an AI-driven model that improves the accuracy and efficiency of PMF detection and monitoring, facilitating early diagnosis and better treatment planning. Findings: The integrated GAN-LSTM model significantly outperformed traditional diagnostic methods. It proved high accuracy, a Dice coefficient of 0.85, and an Area Under the Curve (AUC) of 0.92, showing precise differentiation of PMF from other pulmonary conditions, such as lung cancer and tuberculosis. Results: The GAN-LSTM framework achieved an accuracy of 91.3%, suggesting that the fusion of GAN and LSTM technologies can effectively address the challenges of limited datasets and heterogeneous disease progression. The model showed promise in enhancing the non-invasive detection and ongoing monitoring of PMF. Novelty: This research stands for a significant advancement in PMF diagnostics by combining GAN and LSTM technologies in a single framework. This approach improves diagnostic accuracy and eases continuous disease monitoring, offering a non-invasive and highly precise solution for PMF detection.

Solidaritas Sosial dalam Komunitas Kurir Singgang di Barito Utara Kurniawan, Hendra; Hakim, Arif Rahman
Huma: Jurnal Sosiologi Vol. 4 No. 3 (2025)
Publisher : Prodi Sosiologi FISIP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/h-js.v4i3.564

The Kurir Singgang Community, also known as Babuhan Kurir, in North Barito, is a social group formed based on shared profession as couriers and a mutual interest in the world of automotive culture. Along with the passage of time and the dynamics of its members’ lives, the community has undergone significant changes in both membership composition and the forms of solidarity established. This study aims to explore how social solidarity within the Kurir Singgang community is formed, maintained, and developed, shifting from profession-based solidarity to solidarity rooted in shared interests and collective values across diverse backgrounds. A qualitative case study approach was employed, with data collected through direct observation, in-depth interviews, and documentation of community activities. The findings reveal a transformation from an exclusive to an inclusive character as an adaptation to the challenges of courier work and changing member identities. Social solidarity, which initially stemmed from professional commonality, has been strengthened through cooperation, mutual assistance, and emotional attachment in the community’s daily life. This process aligns with Emile Durkheim’s theory of social solidarity, illustrating the transition from mechanical to organic solidarity. While the community has managed to endure and evolve, challenges remain, including differences in commitment levels and disparities in member participation. This research contributes to the broader study of community dynamics and social change in the context of informal labor societies. Future studies are recommended to focus on aspects of community leadership, mechanisms of collective decision-making, and the role of social media in shaping and sustaining social solidarity in the digital era.

Framework Analysis of Smart House based on Orange Technology use Systematic Literature Sudrajat, A.; Handoko, Melyani; Zahra; Kurniawan, Hendra; Solehudin, Didin; Sari, Dian Indah; Sumantri, Fazhar
Journal of Management and Informatics Vol. 4 No. 2 (2025): August Season | JMI : Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v4i2.210

Now days, the home environment is still much less supportive of life for the elderly, most elderly living at home need a companion to help them. Safety, health, happiness and independence will be difficult for them to get even the elderly will be further away from the surrounding environment. Based on population projection 2017 data there are 23.66 million elderly people in Indonesia and predicted in 2020 there are 27.08 million people elderly. Smart homes that are currently widely studied have not focused on elderly; most smart homes only provide a sense of security and convenience for adult residents. And this will be a problem that until now has not solved the improvement of human life through technology to get happiness, care and health especially for the elderly. In many cases of the elderly, it is easier to send them to live in a nursing home and that keeps them separated from their families for the rest of their lives. That's what makes them less happiness. Orange Technology is a collection of technological elements to improve human life by getting happiness, Care and health. This study reviewed the journals of scientific databases such as IEEE explore, ACM digital library and Proquest published from 2002 to 2017. From the search results obtained 54 papers that will answer the scientific questions of this research. The result of this research is a framework of smart house that has Sensor, Monitoring, Wireless, Scalability, Low cost, GPS and ease of installation and maintenance as components of smart house of orange technology for elderly.

Pengembangan Zonasi Sempadan Sungai Brantas Di Dermaga Joyoboyo Sebagai Kawasan Wisata Berbasis Sistem Informasi Geografi Setyabudi, Irawan; Pratama, Wanda Andika; Kurniawan, Hendra
JIMAD : Jurnal Ilmiah Multidisiplin Vol. 1 No. 3 (2024): JIMAD : Jurnal Ilmiah Multidisiplin (April)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/jimad.v1i3.387

Regional zoning planning is the initial stage of restructuring the Joyoboyo Pier area as a tourist area based on conservation principles. The principle of conservation in structuring tourist areas located in natural or natural areas is primarily an effort to protect natural resources and facilitate management. With zoning, it is hoped that tourism activities can run well because there is separation of land uses so that maximum land use can be achieved without interference from other land uses. So that a higher quality and environmentally friendly river border environment can be created. The aim of this research is to determine the zoning of the river border at Joyoboyo pier as a tourist area. This research method is a combined qualitative and quantitative method. Meanwhile, data analysis was carried out descriptively and spatially. The results of this research are the zoning of the Joyoboyo pier area with a core zone of 2.40 Ha (14%), a special zone of 2.69 Ha (15%), a buffer zone of 10.50 Ha (60%) and a utilization zone of 1 .94 Ha (11%). The development of river border zoning is the initial stage of establishing the Joyoboyo Pier Area as a tourist area which aims to create a higher quality and environmentally friendly river border and support community empowerment which can increase regional income.

Manual Small Incision Cataract Surgery pada Pasien Katarak dengan Pupil Kecil: Sebuah Laporan Kasus Kurniawan, Hendra; Sadri, Irsad; Asvinia, Made Astri
Oftalmologi : Jurnal Kesehatan Mata Indonesia Vol 7 No 2 (2025): Oftalmologi: Jurnal Kesehatan Mata Indonesia
Publisher : Pusat Mata Nasional Rumah Sakit Mata Cicendo Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ojkmi.v7i2.85

Pendahuluan: Katarak adalah penyebab kebutaan utama di dunia yang dapat dicegah, dan operasi masih merupakan satu-satunya terapi definitif. Manual Small Incision Cataract Surgery (MSICS) merupakan teknik yang banyak digunakan di negara berkembang karena biaya rendah dan efektivitasnya. Pupil kecil adalah salah satu tantangan intraoperatif yang signifikan, terutama di fasilitas tanpa akses penggunaan alat ekspansi pupil. Laporan kasus: Laki-laki berusia 73 tahun, datang dengan penurunan penglihatan progresif pada mata kanan. Pemeriksaan menunjukkan visus 4/60, dan didiagnosis katarak senilis matur, serta dilatasi pupil maksimal ±5 mm. Operasi dilakukan dengan teknik MSICS menggunakan can-opener capsulotomy, prolaps nukleus, dan manual delivery. Pada hari pertama pascaoperasi, visus meningkat menjadi 6/15 dengan pinhole, dan setelah 1 minggu visus terbaik tercapai 6/10. Komplikasi ringan berupa edema kornea minimal, pupil ireguler, dan sisa korteks kecil yang tidak mengganggu aksis visual. Pembahasan: Kasus ini menegaskan bahwa MSICS dapat menjadi alternatif yang aman dan efektif pada katarak dengan pupil kecil di fasilitas terbatas. Hasil ini sejalan dengan literatur yang menunjukkan MSICS mampu memberikan perbaikan visus baik tanpa alat ekspansi pupil. Simpulan: MSICS tetap merupakan teknik penting yang perlu dikuasai, terutama pada kondisi penyulit seperti pupil kecil, karena mampu memberikan perbaikan visus dengan komplikasi minimal.

Analisis Peran Bahasa Indonesia Terhadap Kejelasan dan Ketepatan Laporan Praktikum Teknik Sipil Mahasiswa Universitas Negeri Medan Kaban, Anggi Rona BR; Sahda, Dianita; Ihsan, Fathir; Simbolon, Fidelis; Aritonang, Hironius Asyer Keith; Simbolon, Lasro Dearma Br; Kurniawan, Hendra
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 8 (2025): September
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17313782

This study aims to analyze the impact of using the Indonesian language on the clarity and accuracy of preparing practical work reports by students of the Civil Engineering Study Program at Universitas Negeri Medan. The main issue addressed is the low linguistic quality in practical reports, which potentially reduces reader comprehension in terms of sentence structure, word choice, and paragraph organization. The purpose of this research is to identify the extent to which the application of proper and correct Indonesian language principles affects readability, accuracy in conveying information, and the alignment of reports with academic standards in the field of civil engineering. The research employed a qualitative-descriptive approach by analyzing the content of 30 practical work reports written by students. The research instruments included language analysis guidelines and assessment criteria referring to the Indonesian Spelling System (Ejaan Bahasa Indonesia/EBI) and the framework of scientific writing. Data were analyzed through the stages of coding linguistic errors, evaluating content clarity, and assessing technical compliance. The findings affirm that adequate mastery of the Indonesian language is not merely a formality, but rather an essential element in scientific communication within the civil engineering sector.

Prediksi Keberhasilan Akademik Menggunakan Metode Regressi Logistik Dan Support Vector Machine Triyasri, Novita; Safitri, Egi; Kurniawan, Hendra; Saputra, M Hardi; Syidada, Amran Rahman; Pratama, Raynaldo Syah
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 13, No 4 (2025)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v13i4.89731

Penelitian ini bertujuan untuk memprediksi keberhasilan akademik dengan menggunakan dua metode yaitu regresi logistik dan support vector machine (SVM). Keberhasilan akademik seringkali dipengaruhi oleh banyak faktor, antara lain motivasi siswa, keterampilan belajar, dan kondisi sosial ekonomi. Oleh karena itu penting untuk mengidentifikasi variabel-variabel yang mempengaruhi keberhasilan akademik dan menggunakan teknik analisis yang tepat untuk menghasilkan prediksi yang akurat. Data yang digunakan di Penelitian ini mencakup variabel-variabel seperti nilai ujian, motivasi belajar dan tingkat kehadiran siswa. Metode regresi logistik digunakan untuk menganalisis hubungan antara variabel independen dan variabel dependen (hasil akademik), sedangkan SVM digunakan untuk mengklasifikasikan siswa berdasarkan prestasi akademiknya. Hasil penelitian menunjukkan bahwa kedua metode tersebut memberikan tingkat akurasi yang signifikan dalam memprediksi keberhasilan akademik siswa. Namun Regresi logistik menghasilkan model yang lebih sederhana, SVM menunjukkan keunggulan dalam hal akurasi dan kemampuan mengklasifikasikan siswa dengan prestasi akademik lebih tinggi. Penelitian ini memberikan informasi berharga bagi para pendidik dan manajer pendidikan untuk mengidentifikasi siswa yang memerlukan perhatian lebih dalam pembelajaran dan merancang intervensi yang lebih efektif untuk meningkatkan hasil akademik siswa.

Optimasi Jaringan Syaraf Tiruan Backpropagation Dengan Particle Swarm Optimization Untuk Prediksi Pasang Surut Air Laut Nikentari, Nerfita; Kurniawan, Hendra; Ritha, Nola; Kurniawan, Denny
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Indonesia merupakan negara maritim yang lebih dari 70 % wilayahnya adalah lautan. Lautan memiliki banyak fenomena alam yang mempengaruhi kehidupan sehari-hari masyarakat bahari atau masyarakat yang hidup tergantung pada laut. Salah satu fenomena alam dari laut adalah pasang surut. Pasang surut air laut dalam hal ini tinggi memegang peranan penting pada masyarakat diberbagai aspek seperti transportasi, pariwisata dan ekonomi. Prediksi tinggi pasang surut air dapat bermanfaat untuk memudahkan segala aktifitas masyarakat bahari. Penelitian ini menggunakan metote Particle Swarm Optimization (PSO) dan Jaringan Syaraf Tiruan (JST) untuk prediksi tinggi pasang surut air laut. Metode Particle Swarm Optimization dan Neural Network memiliki beberapa parameter inputan seperti, jumlah neuron input, learning rate, swarm, c1,c2 inertia min, inertia max. Data yang digunakan sebanyak 1000 yang terbagi menjadi 700 data training dan 300 data testing. Hasil pengujian menunjukkan akurasi prediksi adalah 91.56 % dengan menggunakan 90 swarm, learning rate 0,9 dan iterasi sebanyak 20 kali. AbstractIndonesia is a maritime country where 70% of its territory is the ocean. Oceans have many natural phenomena that affect the daily lives of maritime communities or people who live dependent on the sea. One of the natural phenomena of the sea is tide level. Tide level plays an important role in the community both directly and indirectly such as transportation, tourism and the economy. Predictions of tide level can be useful to facilitate all marine activities. This study uses Particle Swarm Optimization (PSO) and Artificial Neural Networks (ANN) to forecast tide level. PSO is used to optimize the minimum error value on the network in order to get the ideal ANN network. The Particle Swarm Optimization and Neural Network methods have several input parameters such as number of input neurons, learning rate, swarm, c1, c2 inertia min, inertia max. The number of data being used in this reseach is 1000 which divided into 700 training data and 300 testing data. The test results shows the prediction accuracy level is 0. 078373 using 90 swarms, learning rate is 0.9 and iteration is 20 times.

Co-Authors , Azmi , Herdianta - Nurjoko Abdi Darmawan Abdullah Merjani, Abdullah Acihmah Sidauruk Ade Moussadecq Adrin, Adrin Adytama, Muhammad Rezky Agung Pradana Agus Mulyana Agus Rahardi Ahmad Soleh Alamanda , Agri Fina Alfarihin, Alfin Alfarizi, Muhammad Amrullah, Ahmad Nur Hakim Angelina, Eleonora Anggraeni, Yessy Anggreiny, Cut Dini ANIK KUSMIATUN Anita Dewi Purwati Antoni Suseno Ardiansyah, Ardian Ardiansyah Ardiansyah, Muhamad Iqbal Arif Rahman Hakim Aritonang, Hironius Asyer Keith Ariza, Fauziah Nur Ascarya, Farrel Asnah Asnah Assyfa, Zahra Putri Astutik Astutik Asvinia, Made Astri Aulia, Tazkia Aulya, Sindi Azima, Muhammad Fauzan Bagus Prihadi Bengi, Chinta Simah Budiyono (SINTA ID : 6185108), Debora Budiyono, Debora Chiara, Novita Adya Damayanti, Irah Dani Rofianto Daniel , Daniel Daniel, Prima Audia Darjat Sudrajat, Darjat Darma Satria Davinsy, Rynaldi Deni Firmansyah Denny Andreas Denny Kurniawan Desi Ratna Sari, Desi Ratna Dewi, Deshinta Arrova Dian Indah Sari Dina Warsahanda Dona Yuliawati Edi Edi Pranyoto Egi Safitri Fachrul Razi Fahmi, Ali Fahriza, Ahmad Zulfa Fahruridho, Chicha Aprilia Fajri, Ika Nur Falahudin, Anisa Findia Farhaty, Mutiah Fatahillah, Dimas Fazhar Sumantri Ferdi, Muhammad Firman syah, Firman Fitria - Frisca Florensia Giannakos, Antonios Gustafito, Naufal Nuha Guswati, Jeni Vira Halimah Halimah Handoko, Melyani Harijanto Wijaya Hasibuan, Khoiriyah Azzahra Hasibuan, M.S. Hendra Kurniawan Hendra Lesmana Hermanto HERMANTO Herwanto, Riko Herwanto, Riko Hidayat Hidayat Hovivah, Hovivah Ihsan, Fathir Indah Sukma Wahyuni Irawan Setyabudi Irianto, Suhendro Y. Irmanelly, Irmanelly Irsyah, Abid Dhiyauddin Alfani Jamil, Pernando Aditya Jeki, Jeki johannes johannes Juliani, Duwi Jumanto Jumanto, Jumanto Kaban, Anggi Rona BR Kadafi, Kadafi Khairunisa, Titi Khalisa, Ighra Khoiruddin, Lukman Khoirunnisa, Dianis Januar Ko Ko Htet, Kyaw Kurniawan, Tri Basuki Lilik Joko Susanto Lina Karlinasari Luh Titi Handayani, Luh Titi M Yusendra M. Zaky Fanany Zaky Maensya, Alendra Natuah Maghfiroh, Miftahul mahdi mubarok Marbun, Elsa Agustin Maria, Okta Mariyam, Luayyi’ Dewi Marzuki, Farhan Masita, Masita Melda Agarina Melyani Melyani, Melyani MMSI Irfan ,S. Kom Mochammad Imron Awalludin Mohammad Muslich Muchsin, Gaisha HA. Muhamad Ariza Eka Yusendra Muhammad Ariza Eka Yusendra Muhammad Aulia Rahman Muhammad Fauzan Azima Muhammad Redintan Justin Muhammad Sahri Muji Lestari Mukhlis Mukhlis Muktiawan, Danang Ade Mu’awana, Saiti Nadhir, Ahnaf Ronaldo Nana Supriatna Nasution, Abdullah Habib Nasution, Nur Ati'ah Nauval, Iflan Neldawati, Rika Neldawaty, Rika Neni Purwati Nikentari, Nerfita Novi Herawadi Sudibyo Nujaima, Ismi Nurhayanto, Nurhayanto Nuri Cahyono Nurjoko Nurlistiani, Rini Nursiyanto Nurul fadillah, Nurul Oktaviani, Eva Oscar, Gusnanda Pakpahan, Lingghom Miranda Hanum Pangolangan Harahap, Cyndi Aulia Pasaribu, Gusti Aprila Pedliyansah, Yogi Peramasari, Novi Permana, Sendy Pohan, Dedi Rusdi Pradana, Arya Pratama, Raynaldo Syah Pratama, Wanda Andika Putra, Iwan Eka Putra, Rizky Samjaya Putri, Amelia Putri, Lora Septrianda Raden Abdurrahman Rahayu, Yunie Rahayuningsih, Tri Yanti Rahmawati , Emilia Ramadhan, Riska Dwi Ramadhan, Rizki Aditya Ramadhani, Aisyah Revy, Ramzy Aranzha Riedanto, Muhammad Bayu Adithya Rifqatunnisak, Rifqatunnisak Rini Nurlistiani Rini Tri Astutik Ritha, Nola Rizal, Ruki Rizalnul Fikri, Ruki Rohiman Rohiman Rohiman Rohiman Romadona, Romadona Rosdiana, Yanti Rossa Wulandari Rovy Pratama, Rovy Ruki Rizal Sadri, Irsad Safitri, Egi Safitri, Rosi Mega Sahda, Dianita Sakti, Cahaya Mulyani Saparudin Saparudin Saputra, M Hardi Saputra, Panggih Prabowo Rona Sasya Nadira Satrio, Rafli Banu Septiawan, Yuda Silalahi, Intan Aprillia Simbolon, Fidelis Simbolon, Lasro Dearma Br Sipora Petronela Telnoni Siregar, Wahyu Andreansyah Siswoyo Siswoyo Sitompul, Ibnusyah So, Kristianto Wibison Solehudin, Didin Solly Aryza Sri Andika Putri Sri Karnila Sri Karnila Sri Karnila Sri Karnila Karnila Sri Lestari Sri Muryati Sri Rahayu Stefanus Rumangkit Sudrajat, A. Suhada, Fizria Suherman, Suherman Sumarya, Edi Sumiati, Astri Suntono, Annita Rosliana Supriyadi Susanti Susanti Susanti Susanti Susanto, Lilik Joko Sushanty Saleh Susilawati , Esti Sutan Sahala Muda Marpaung Sutedi Sutedi Syabrinildi, Syabrinildi Syahrizal Syahrizal Syidada, Amran Rahman Theresia, Sumini Tri Erri Astoeti TRISTANTO ARI AJI Triyasri, Novita Uma, Syarfa Utami, Nesa Tri Valensia, Alda Caesar Via Lailatur rizki Viqri, Afril Wicakso Bandung Bondowoso Widijanto Sudhana Wijaya, Nanda Y, M Ariza Eka Y. Suhendro Yahya Muhaimin Yama, Tri Melda Yan Aditiya Pratama Yayuk Kusumawati Yoga Pristyanto Yogi Pedliyansah Yudiyanto, Muhammad Resa Arif Yuliana , Dwi Eva Yulifar, Leli Yuni Arkhiansyah Yusminar Yusminar Yusminar Yusminar Yusril, Muhamad Zahra Zahwa, Ananda Zulham Zulham

Title

Found 104 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 104 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 104 Documents
Search