Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

17.039

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering Elektron Jurnal Ilmiah TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) SITEKIN: Jurnal Sains, Teknologi dan Industri Riau Journal of Computer Science JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan Jurnal Mantik Penusa Rang Teknik Journal Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Pendidikan Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Sistim Informasi dan Teknologi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Journal of Applied Engineering and Technological Science (JAETS) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi Innovative: Journal Of Social Science Research Jurnal Informatika Ekonomi Bisnis RJOCS (Riau Journal of Computer Science) Jurnal Elektronika dan Teknik Informatika Terapan Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)

Gunadi Widi Nurcahyo

Universitas Putra Indonesia YPTK Padang

Author-ID : 6052120

Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Other

Published : 166 Documents Claim Missing Document

Claim Missing Document

Articles

6 7 8 9 10

Sistem Pendukung Keputusan Menggunakan Metode Simple Additive Weighting dalam Meningkatkan Pendapatan Jasa Fotografi Fanny Septiani Bufra; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (December 2020)
Publisher : SAFE-Network

The photography business grew very rapidly and was very profitable. The intense competition made the photo studio suffer losses and even went out of business because it was unable to compete and made wrong decisions. Like during the Covid-19 Pandemic in 2020, several photo studios experienced a decline in revenue because there were no bookings for photo services or canceling agreed projects. The purpose of this study is to assist the owner of a photo studio or photographer in determining the best decision from an investment plan that has been planned based on predetermined criteria in order to increase photography service income. In this study using the Simple Additive Weighting method. The variables that are the main criteria in this decision-making system are Cost, Productivity, Priority Needs, and Availability. The alternative data used is the Photo studio Investment Plan data in July 2020. Based on the results of the calculations using the Simple Additive Weighting method, the results show that Alternative 1, namely Paid Promotion on Social Media, is recommended as the best decision with the highest preference value of the 12 sample data. tested is 0.93. Comparison of data from manual counting with the system created, namely the Website-based Decision Support System, resulted in the same calculation value. So that the accuracy value is 100% and is declared accurate. With this Decision Support System, it can produce objective decisions to assist owners in determining investment plans that can increase income from photography services. Bisnis fotografi tumbuh sangat pesat dan sangat menghasilkan. Ketatnya persaingan membuat studio foto mengalami kerugian bahkan sampai gulung tikar karena tidak mampu bersaing dan salah dalam mengambil keputusan. Seperti pada masa Pandemi Covid-19 ditahun 2020, beberapa studio foto mengalami penurunan pendapatan karena tidak adanya yang booking jasa foto ataupun membatalkan project yang telah disepakati. Tujuan dari penelitian ini adalah untuk membantu owner studio foto atau fotografer dalam menentukan keputusan terbaik dari rencana investasi yang sudah direncanakan berdasarkan kriteria yang telah ditentukan agar dapat meningkatkan pendapatan jasa fotografi. Penelitian ini menggunakan metode Simple Additive Weighting. Variabel yang menjadi kriteria utama pada Sistem Pengambilan Keputusan ini yaitu Biaya, Produktivitas, Prioritas Kebutuhan, dan Ketersediaan. Data alternatif yang digunakan yaitu data Rencana Investasi studio Foto pada bulan Juli 2020. Berdasarkan hasil dari perhitungan dengan menggunakan metode Simple Additive Weighting ini, didapatkan hasil bahwa Alternatif 1 yaitu Promosi Berbayar di Sosial Media direkomendasikan sebagai keputusan terbaik dengan nilai preferensi tertinggi dari 12 data sampel yang diuji yaitu 0.93. Dilakukan perbandingan data dari hitungan manual dengan sistem yang dibuat yaitu Sistem Pendukung Keputusan berbasis Website menghasilkan nilai perhitungan yang sama. Sehingga nilai keakurasiannya adalah 100% dan dinyatakan akurat. Dengan adanya Sistem Pendukung Keputusan ini dapat menghasilkan keputusan objektif untuk membantu owner dalam menentukan rencana investasi yang dapat meningkatkan pendapatan jasa fotografi.

Klasterisasi Bibit Terbaik Menggunakan Algoritma K-Means dalam Meningkatkan Penjualan Yuli Hartati; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (March 2021)
Publisher : SAFE-Network

Tiara Bersaudara is a shop that sells seeds and agricultural needs. To maintain a stock of seeds that farmers are interested in, sellers must be able to analyze seed sales data. This process is difficult to do because UD has a lot of sales data. The existing problem can be solved by clustering seed sales data. Clustering is grouping data into several clusters based on the level of data similarity. The research objective was to group the best-selling seedlings in UD.Tiara Bersaudara in increasing sales. Seed sales data from January to April 2019 are data that will be processed in this study. The clustering method uses the K-Means algorithm by partitioning the data into clusters based on the closest centroid to the data. Then the test is done by comparing the calculation results with the Rapid Miner studio 9.7 software. Clustering is tested based on lots of data and many clusters. The data tested were 42 seedlings by obtaining 2 clusters, 4 data which were best-selling seeds as cluster one (C1), and 38 data which were unsold seeds as cluster two (C2). Best-selling seeds are the best seeds that can increase sales consisting of Bibit Jagung NK 212, Bibit Jagung NK 7328, bibit Jagung Pioneer 32, Bibit Jagung NK 617232. The results of this study can be used as benchmarks for decision support by UD.Tiara Berasaudara to set up a marketing strategy to increase sales.

Sistem Pendukung Keputusan dengan Metode Multi Factor Evaluation Process dalam Mengidentifikasi Penerima Bantuan yang Tepat pada Program Keluarga Harapan Lidia Sutra; Gunadi Widi Nurcahyo
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (June 2021)
Publisher : SAFE-Network

The Family Hope Program (PKH) is a conditional cash transfer program for poor families. PKH is one of the government programs in reducing poverty in Indonesia. The large amount of PKH participant data that will be processed can take a lot of time and can hamper the flow of aid. This study aims to create a system that can assist PKH facilitators in identifying the right beneficiaries for the PKH program quickly and with accurate results. The method used in this research is the Multi Factor Evaluation Process (MFEP) method. The data processed in this study consisted of 25 PKH participant data obtained from PKH Nagari Kunangan Parik Rantang facilitators. The criteria used as an assessment for PKH participants were having early age children, pregnant women, the elderly, with disabilities, high school children, junior high school children, and elementary school children. The stages of the MFEP method are determining the weight of each criterion, filling in the value for each factor, and calculating the evaluation weight then adding up all the evaluation weights to get the total evaluation value which is used as the final value in decision making. From data processing on 25 PKH participants, the results of the eligible decisions consisted of 20 participants and 5 non-eligible participants. The data that has been processed using the MFEP method is compared with data from PKH Facilitators and produces decisions with a 100% similarity level. With this level of accuracy, the MFEP method can be used in identifying the right recipients of assistance in the Family Hope Program.

Prediksi Peningkatan Jumlah Pelanggan dengan Simulasi Monte Carlo Siska Dwi Anggraini; Gunadi Widi Nurcahyo
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 3 (September 2021)
Publisher : SAFE-Network

CV. Tomi Advertising is a business sector that operates in advertising, construction and promotion that has various types of work services such as manufacturing neonboxes, signboards, signboards, banners, mild steel, modif houses, and others. CV. Tomi Advertising was founded in August 1997 with several ups and downs in business so that it can survive until now by establishing cooperation in several areas such as Pekanbaru, Jambi, Riau Islands and Pangkal Pinang. The recording system for the number of customers who came to CV. Tomi Advertising is done manually using a book. So that the recording of the number of subscribers is not well organized. There are some customers who do not fill in the customer arrival book so that the increase in the number of customers from year to year is less effective. The prediction of the number of subscribers is used as a reference to increase the number of subscribers. The prediction of the number of subscribers is a calculation of the level of the number of customers who come at a certain time. The purpose of this study is to predict the increase in the number of customers that occur at CV. Tomi Advertising. Where, data processing carried out by the Monte Carlo method comes from the amount of data from January 2018 to December 2020. Data processing for the number of customers is also applied to the system using the PHP programming language (Hypertext Processor). Based on the simulation, the increase in the number of customers that has been done is getting an average of 72% so that it can make it easier for business managers to make decisions in order to develop a business.

Product Codefication Accuracy With Cosine Similarity And Weighted Term Frequency And Inverse Document Frequency (TF-IDF) Sintia Sintia; Sarjon Defit; Gunadi Widi Nurcahyo
Journal of Applied Engineering and Technological Science (JAETS) Vol. 2 No. 2 (2021): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method for calculating similarity by using keywords from the code of goods. Term Frequency and Inverse Document (TFIDF) is a way to give weight to a one-word relationship (term). The purpose of this research is to improve the accuracy of the search for goods codification. Codification of goods processed in this study were 14,417 data sourced from the Goods and Price Planning Information System (SiPaGa) application database. The search keywords were processed using the Cosine Similarity method to see the similarities and using TF-IDF to calculate the weighting. This research produces the calculation of cosine similarity and TF-IDF weighting and is expected to be applied to the SiPaGa application so that the search process on the SiPaGa application is more accurate than before. By using the cosine sismilarity algorithm and TF-IDF, it is hoped that it can improve the accuracy of the search for product codification. So that OPD can choose the product code as desired

PENERAPAN JARINGAN SYARAF TIRUAN UNTUK MEMPREDIKSI VOLUME PEMAKAIAN AIR DENGAN METODE BACKPROPAGATION (STUDI KASUS PT. PDAM KOTA PADANG) Khelvin Ovela Putra; Gunadi Widi Nurcahyo; Julius Santony
Jaringan Sistem Informasi Robotik-JSR Vol 2, No 1 (2018): JSR : Jaringan Sistem Informasi Robotik
Publisher : AMIK Mitra Gama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.198 KB)

Penelitian ini menerapkan Jaringan Syaraf Tiruan menggunakan algoritma Backpropagation untuk memprediksi kebutuhan konsumsi air. Tujuan dari penelitian ini adalah melihat hasil prediksi dan diharapkan dapat memecahkan masalah kebutuhan konsumsi air. Perhitungan menggunakan aplikasi Matlab berdasarkan nilai epoch dan MSE(Mean Square Error). Data yang digunakan diperoleh dari PT. PDAM Kota Padang, data tersebut dibagi menjadi data pelatihan dan data pengujian dengan variabel-variabel yang telah ditentukan. Arsitektur jaringan yang digunakan dalam melakukan prediksi adalah pola arsitektur 5-2-1. Setelah proses data selesai, hasil perhitungan dengan algoritma Backpropagation dilakukan perbandingan dengan data aktualnya. Hasilnya adalah prediksi jumlah kebutuhan konsumsi air minum dengan proses pelatihan dan pengujian menghasilkan output aktual sebagai target yang dicapai. Kata Kunci: Jaringan Syaraf Tiruan, algoritma Backpropagation, Software Matlab, Prediksi.

PREDIKSI PENGELUARAN ANGGARAN OPERASIONAL PERGURUAN TINGGI SWASTA DENGAN MENGGUNAKAN METODE MONTE CARLO Dian Eka Putra; Julius Santony; Gunadi Widi Nurcahyo
Jaringan Sistem Informasi Robotik-JSR Vol 4, No 2 (2020): JSR : Jaringan Sistem Informasi Robotik
Publisher : AMIK Mitra Gama

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

Pengeluaran merupakan kewajiban yang harus dibayar untuk kebutuhan yang diinginkan. Setiap tahun perguruan tinggi swasta mengeluarkan anggaran operasional kegiatan kampus. Anggaran operasional yang dikeluarkan perguruan tinggi swasta tiap tahun berbeda-beda. Simulasi Monte Carlo digunakan untuk memprediksi pengeluaran anggaran operasional sehingga bisa diketahui pengeluaran pada tahun berikutnya. Data yang digunakan adalah data pengeluaran selama 3 tahun yang bersumber dari bendahara perguruan tinggi swasta. Data yang didapatkan berbeda-beda setiap tahunnya. Data pengeluaran anggaran operasional disimulasikan menggunakan metode Monte Carlo dan bahasa pemograman php. Tahapan simulasi adalah menentukan distribusi probabilitas untuk masing-masing variabel. Kemuadian menghitung distribusi kumulatif untuk tiap-tiap variabel dan menetapkan interval dari angka acak untuk masing-masing variabel. Selanjutnya membentuk bilangan acak dan membuat simulasi dari rangkaian percobaan. Hasil dari pengujian simulasi metode Monte Carlo tahun 2019 adalah 4,392,393,597. Sehingga tingkat akurasinya sebesar 89%. Hasil penelitian ini dapat memprediksi pengeluaran anggaran, pengujian yang dilakukan menjadi acuan untuk mempersiapkan anggaran operasional pada tahun berikutnya. Tingkat akurasi 89% dapat direkomendasikan untuk membuat anggaran operasional pada tahun berikutnya untuk meningkatkan akurasi dalam memprediksi pengeluaran..

Accuracy in Identifying Rice Plant Diseases UsingMethod Fuzzy Sri Handayani; Gunadi Widi Nurcahyo; Sumijan Sumijan
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 1 (2021): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.59.pp33-41

Rice is one of the most favored crops by the Indonesian people, because of its many benefits, especially as a staple food for Indonesians, and is also used as a raw material for the feed and food industry. In particular, rice is processed to produce rice which contains high carbohydrates, so that rice is widely used and used as a human staple food. Some things that often happen at this time by rice farmers, many losses caused by rice plant diseases that are too late to be identified, causing crop failure. In this case, this rice plant disease is still in a mild stage, but many farmers ignore it, so that a bigger and wider problem arises and it is too late to control. The purpose of this study is to assist rice farmers in identifying rice plant diseases, which will use the Tsukamoto fuzzy method and implement it into the system, so that farmers do not feel overwhelmed again in identifying rice plant diseases. In general, Fuzzy can be referred to as uncertain logic but its advantage is that it is capable of the punishment process so that its design does not require complex mathematical equations. There are various fields that can be used by fuzzy logic, one of which is to identify rice plant diseases

The Multi Attribute Utility Theory (Death) Method In The Decision Of The Distributor Distributor Selection (Metode Multi Attribute Utility Theory (Maut) Dalam Keputusan Pemilihan Distributor Barang) Ritna Wahyuni; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal KomtekInfo Vol. 7 No. 2 (2020): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Distributors are intermediaries who distribute products from factories to retailers. While the distributor of goods is the distributor of goods from factories to shops that need these goods. Incorrect selection of distributors can interfere with the sales process at the store. To improve the quality and quality of a store, it requires the best distributor of goods. This study aims to determine the best distributor of goods. The method used is the Multi Attribute Utility Theory (MAUT) of distributor data at the Padang Luar Sundanese Convenience Store. The data processed in this study consisted of a number of distributor data selected by the Multipurpose Store. From some of the distributor data, the Decision Support System is very necessary in the selection of distributors who aim for the selection of appropriate alternative decisions. The selection of distributors uses 15 samples of distributor data and 5 criteria data that are used as the basis for selecting distributors, namely quality of goods, affordable prices, strategic locations, service responses, and giving bonuses. The results of testing on this method obtained an accuracy rate of 86.67% of the right distributors and in accordance with the realization of the UI data. So this research is very suitable in choosing the best distributor. From the test results, it has got the 5 best distributors by assigning a weight of 11.50 to the best distributor, so the criteria set by the All-Round Shop can be used as a reference in the selection of distributors of goods.

Penerapan Fuzzy C-Means Pada Teknologi Adopsi Usaha Mikro Kecil dan Menengah Rizka Hafsari; Gunadi Widi Nurcahyo
Jurnal KomtekInfo Vol. 8 No. 3 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Usaha Mikro, Kecil dan Menengah (UMKM) merupakan suatu badan usaha yang dilakukan oleh sekelompok atau individu yang tidak memiliki kaitan dengan perusahaan tertentu. Pasca pandemi COVID-19, menyebabkan pertumbuhan sektor ekonomi di Indonesia mengalami dampak yang signifikan, terutama pada sektor UMKM yang menjadi tumpuan masyarakat hingga saat ini. Pelaku UMKM membutuhkan strategi pemasaran digital di era revolusi industri 4.0 dan society 5.0 guna menyeimbangkan kemajuan ekonomi dengan mengintegrasikan teknologi informasi saat ini dan di masa yang akan datang. Tujuan penelitian ini untuk mengetahui tingkat teknologi adopsi UMKM di Kota Pekanbaru menggunakan Fuzzy C-Means. Kriteria yang digunakan pada penelitian ini di antaranya, nama UMKM, tahun mulai usaha, jenis usaha, jumlah tenaga kerja, modal, asset dan omset. Berdasarkan hasil análisis data yang dilakukan pada iterasi 1, metode Fuzzy C-Means belum menghasilkan nilai error yang diharapkan serta fungsi objektif yang diperoleh sebesar 439,8768.

Co-Authors A Alfarisdon AA Sudharmawan, AA Abdi Rahim Damanik Afifah Cahayani Adha Afriosa Syawitri Agung Ramadhanu Ahmad Zamsuri, Ahmad Alexyusandria alexyusandria Alfarisdon, A Ali Djamhuri Andi, Muhammad Yusril Haffandi Anggraini, Siska Dwi Anita Sindar Apriade Voutama Ardia Ovidius ardialis Asyhari, Ahmad Aulia Mardhatilla Ayudia, Dina Ayunda, Afifah Trista Bayu Rianto Billy Hendrik Boy Sandy Dwi Nugraha.H Breinda, Engla Budayawan, Khairi Budiarti, Lela Bufra, Fanny Septiani Candra Putra Cyntia Lasmi Andesti Cyntia Trimulia Damanik, Abdi Rahim Daniel Theodorus Darma Yunita Darmawi Darnis, Rahmi Dedi Irawan Deri Marse Putra Dina Ayudia Dinda Permata Sukma DWI JULISA UTARI Dwi Utari Iswavigra Dyan Mardinata Putra Eka Putra, Dian Elfina Novalia Erizke Aulya Pasel Faisal Roza Fajri Karim Fanny Septiani Bufra Fauzan Azim Fauzi Erwis Febriani, Widya Febrina, Yerri Kurnia Fernando Ramadhan Fitriani, Yetti Fortia Magfira Gaja, Rizqi Nusabbih Hidayatullah Hafid Dwi Adha Handika, Yola Tri Hartati, Yuli Hasni, Salmi Hazlita, H Hendrik, Billy Honestya, Gabriela Humairoh, Putri Idir Fitriyanto Idir Ilham Effendi Indah Savitri Hidayat INTAN NUR FITRIYANI Ipri Adi Ira Nia Sanita Jefri Rahmad Mulia Johan Harlan Jufri, Fikri Ramadhan Jufriadif Na`am, Jufriadif Jufriadif Na’am Juliantho, Dwana Abdi Julius Santoni Julius Santony Julius Santony Julius Santony Julius Santony Julius Santony Karim, Fajri Khelvin Ovela Putra Kholil, Muhammad Irvan Larissa Navia Rani Leony Lidya Lidia Sutra Lova Endriani Zen Lubis, Fitri Amelia Sari Lusi Kestina Luth Fimawahib M Mutia M, Mutia M. Almepal Wanda M. Ibnu Pati Mardayatmi, Suci Mardison Mardison Marfalino, Hari Meilinda Sari Meilinda Sari Melissa Triandini Miftahul Hasanah Miftahul Hasanah, Miftahul Miftahul Mardiyah Mike Zaimy Muhammad Irvan Kholil Nabila, Tuti Nadia, Nadia Aini Hafizhah Nadya Alinda Rahmi Nasution, Amir Salim Khairul Rijal Nia Nofia Mitra Nissa, Ika Ima Nst, Ely Nurhalizah Nur Azizah Nur, Rofil M Nurdini, Siti Pati, Muhammad Ibnu Pebriyanti, Defi Petti Indrayati Sijabat Puji Chairu Sabila Putra, Akmal Darman Putra, Deri Marse Putra, Dyan Mardinata Putri Humairoh Putri, Stefani Putut Wicaksono, Putut Radillah, Teuku Rafiska, Rian Rahmad Supriadi Rahman, Zumardi Ramadhanu, Agung Riati, Itin Rika Apriani Rika Apriani, Rika Ririn Violina Ritna Wahyuni Rizka Hafsari Rizki Mubarak Roby Nurbahri Roni Salambue Rovidatul Rozakh, Muhammad Rusnedy, Hidayati Rustam, Camila S Sumijan Sabil, Muhammad Sahari Sahari Sahri, Alfi Sajida, Mayang Sandi Alam Sandrawira Anggraini Sani, Rafikasani Santriawan, Aji Sari, Fitri P. Sarjon Defit Sarjon Defit Sarjon Defit Septiana Vratiwi Sharon Sintia Sintia Siregar, Fajri Marindra Sisi Hendriani Siska Dwi Anggraini Siti Nurdini Sovia, Rini Sri Handayani Sri Layli Fajri Stefani Hardiyanti Putri Suci Mardayatmi Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan, S Suri, Melati Rahma Sutra, Lidia Syafri Arlis Tesa Vausia Sandiva Ulfa, Ulia Ulfatun Hasanah Ulia Ulfa Verdian, Ihsan Vratiwi, Septiana W Wahyudi Wahyu, Fungki Wahyudi Wahid Wahyudi Wahyudi Wendi Robiansyah Weri Sirait Widya Febriani Yeng Primawati Yerri Kurnia Febrina Yetti Fitriani Yolla Rahmadi Helmi Yoni Aswan Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yuhandri Yunus Yuhandri, Y Yuli Hartati Yunita Cahaya Khairani Yunus, Yuhandri Yuyu, Yuhandri

Title

Found 166 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 166 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 166 Documents
Search