Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

15.276

P-Index

This Author published in this journals

All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Manajemen dan Agribisnis FORUM STATISTIKA DAN KOMPUTASI Jurnal Ekonomi Pembangunan Indonesian Journal of Geography IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ETIKONOMI EKSAKTA: Journal of Sciences and Data Analysis MATRIK: JURNAL MANAJEMEN, STRATEGI BISNIS, DAN KEWIRAUSAHAAN Media Statistika Sosiohumaniora Statistika Techno.Com: Jurnal Teknologi Informasi CAUCHY: Jurnal Matematika Murni dan Aplikasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Business and Entrepreneurship (IJBE) Jurnal Berkala Ilmu Perpustakaan dan Informasi Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Scientific Journal of Informatics Journal of Consumer Science Jurnal Ilmiah Arena Tekstil MIX : Jurnal Ilmiah Manajemen JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Asia-Pacific Management and Business Application MAJALAH ILMIAH GLOBE Journal of Consumer Sciences Matra Pembaruan: Jurnal Inovasi Kebijakan Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) Informatika Pertanian CogITo Smart Journal Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Indonesian Journal of Artificial Intelligence and Data Mining JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) Albacore : Jurnal Penelitian Perikanan Laut BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTAM (Jurnal Teori dan Aplikasi Matematika) Jambura Journal of Mathematics Journal of Humanities and Social Studies International Journal of Remote Sensing and Earth Sciences (IJReSES) Aptisi Transactions on Technopreneurship (ATT) STI Policy and Management Journal Jurnal Aplikasi Statistika & Komputasi Statistik TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Administrasi dan Manajemen Jurnal Matematika UNAND Variance : Journal of Statistics and Its Applications Ecces: Economics, Social, and Development Studies International Journal of Zakat (IJAZ) Inferensi InPrime: Indonesian Journal Of Pure And Applied Mathematics International Journal of Science, Engineering and Information Technology Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi SRIWIJAYA JOURNAL OF ENVIRONMENT Jurnal Natural Eduvest - Journal of Universal Studies Xplore: Journal of Statistics STATISTIKA Jurnal Informatika: Jurnal Pengembangan IT PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Ekonomi dan Pembangunan Indonesia The Indonesian Journal of Computer Science Journal of Mathematics, Computation and Statistics (JMATHCOS) Journal of International Accounting, Taxation and Information Systems Indonesian Journal of Statistics and Its Applications Diophantine Journal of Mathematics and Its Applications Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Warta Penelitian Perhubungan The International Journal of Remote Sensing and Earth Sciences (IJReSES) Teknobuga : Jurnal Teknologi Busana dan Boga Scientific Contributions Oil and Gas

Bagus Sartono

Departmen Statistika Institut Pertanian Bogor Gedung IPB Dramaga, Jl. Meranti Wing 22 Lantai 2 Kampus IPB Darmaga Bogor (16680) Indonesia Phone: +62-811-118-508

Author-ID : 373849

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 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 Neuroscience Physics Public Health Social Sciences Transportation Other

Published : 168 Documents Claim Missing Document

Claim Missing Document

Articles

2 3 4 5 6

PEMILIHAN STRATEGI PENINGKATAN DAYA SAING INDUSTRI TEKSTIL DAN PRODUK TEKSTIL DENGAN PENDEKATAN ANP-BOCR Andi Susanto; Arief Daryanto; Bagus Sartono
Arena Tekstil Vol 32, No 1 (2017)
Publisher : Balai Besar Tekstil

Industri Tekstil dan Produk Tekstil (TPT) adalah industri yang penting dalam perekonomian nasional sebagai penyumbang devisa ekspor non migas, penyerapan tenaga kerja dan pemenuhan kebutuhan sandang dalam negeri. Namun dalam beberapa tahun terakhir industri TPT mengalami penurunan daya saing dan beberapa kalangan yang mengkategorikan industri ini sebagai sunset industry. Hal ini ditandai dengan pertumbuhan negatif, nilai ekspor yang menurun dan jumlah tenaga kerja yang berkurang. Perkembangan industri TPT tidak sejalan dengan konsumsi domestik maupun dunia yang justru terus naik. Oleh sebab itu, stigma negatif sebagai sunset industry harus dihilangkan karena sektor ini menjadi salah satu solusi sebagai penyerap tenaga kerja di Indonesia serta menjadi sumber devisa sebagai modal pembangunan. Untuk menghadapi berbagai permasalahan dan hambatan yang menurunkan daya saing industri TPT, maka diperlukan langkah strategis untuk meningkatkan daya saing industri ini. Pendekatan pemilihan alternatif strategi dilakukan dengan Analytic Network Process (ANP) dengan kontrol kriteria benefits, opportunities, cost dan risks (BOCR). Hasil analisis menunjukkan bahwa strategi prioritas peningkatan daya saing industri TPT adalah perbaikan iklim usaha dan pemberian insentif dalam rangka investasi bahan baku, bahan penolong, aksesoris dan mesin/peralatan untuk skenario standar, optimistis dan pesimistis serta peningkatan ekspor dan perluasan pasar melalui kebijakan perdagangan dan kerjasama luar negeri untuk skenario realistis. Alternatif strategi yang paling rendah prioritasnya untuk semua skenario adalah peningkatan inovasi dan litbang serta kolaborasi lembaga penelitian, pemerintah, industri dan universitas serta peningkatan akses sumber modal dan penguatan dukungan pasar dan institusi keuangan.

EFISIENSI PERUSAHAAN KONSTRUKSI DI INDONESIA Beny Mulyana Sukandar; Noer Azam Achsani; Roy Sembel; Bagus Sartono
MIX: JURNAL ILMIAH MANAJEMEN Vol 8, No 3 (2018): MIX: Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Along with the increase in government programs to accelerate infrastructure development, the construction industry in Indonesia has faced intense competition which has forced construction companies in Indonesia to be efficient in order to remain profitable. This study is aimed to measure the efficiency of construction companies in Indonesia. Data Envelopment Analysis (DEA)is used for the research method and data is obtained from the companies’ yearly report in the period 2010-2016 listed in the Indonesia Stock Exchange. The results of the study show that state-owned enterprises (BUMN) are more efficient than private companies. This is due to the large number and value of the project from the government in the field of infrastructure. The study has important implications for the the government to warn state owned companies to stay efficient yet profitable when facing foreign competitions. Since the study showed that companies with large revenue (sales) and low cost are efficient. The private companies ought to seek bigger sales from government projects

OPTIMUM DESIGN PADA PERANCANGAN PERCOBAAN MIXTURE Bagus Sartono; Aunuddin Aunuddin; Budi Susetyo
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 3, No 1 (2003)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v3i1.519

Salah satu hal penting pada perancangan percobaan adalah melakukan perancangan level secara optimum terhadapkomponen penyusun perlakuan sehingga ragam penduga akan minimum. Penduga yang dimaksud adalah penduga koefisienmodel dan penduga respon. Semakin banyak kendala-kendala pada besarnya komponan campuran dipercobaan mixturemenyebabkan titik rancangan optimum yang harus dicoba juga sebaik banyak. Algoritma XVERTI merupakan algoritma untukmenemukan titik-titik tersebut. Namun, ketersediaan bahan dan biaya percobaan menjadi kendala sendiri. Untuk itulah perludipilih sebagian titik saja, sehingga target biaya bisa dipenuhi namun tidak paling optimum dalam hal ragam penduga. Kekurangsepakatan antar kriteria adalah permasalahan tersendiri pada proses pemilihan titik. Pada makalah ini dibahas beberapa hasilsimulasi algoritma pemilihan titik antara lain greedy search algorithm (dengan kriteria D-optimality, dan A-optimality), Naesalgorithm, dan uniform mapping algorithm

Klasifikasi Status Bekerja Individu di Provinsi Banten Tahun 2020 dengan Menggunakan Metode LASSO dan Adaptive LASSO Pardomuan Robinson Sihombing; Khairil Anwar Notodiputro; Bagus Sartono
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 21, No 1 (2021)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v21i1.7810

Penelitian ini bertujuan membandingkan metode LASSO dan Adaptive LASSO dengan penggunaan imbalanced data pada regresi binary logistik. Studi kasus yang digunakan adalah pemodelan klasifikasi status bekerja individu di Provinsi Banten tahun 2020. Hasil yang didapat performa LASSO maupun Adaptive LASSO memberikan hasil yang sama baiknya. Dengan mempertimbangkan berbagai kriteria performa dalam accuracy, sensitivity dan specificity, maka model terbaik adalah model LASSO dengan simulasi data balanced 60 persen dan 40 persen dengan nilai masing-masing sebesar 79,16 persen; 80.29 persen dan 68,75 persen. Terdapat beberapa paradoks/anomali dalam hasil penelitian di antaranya peluang status tidak bekerja seseorang menurut lokasi tempat tinggal, gender dan pendidikan. Status disabilitas masih menjadi masalah dalam mencari pekerjaan. Semakin banyak anggota rumah tangga maka akan semakin tinggi peluangnya berstatus tidak bekerja. Semakin tinggi usia seseorang maka akan semakin kecil peluangnya berstatus tidak bekerja. Peluang status tidak bekerja seseorang yang menikah lebih kecil daripada yang belum/tidak kawin

ANALISIS TINGKAT KEMISKINAN DI PROVINSI SUMATERA BARAT MELALUI PENDEKATAN REGRESI TERKENDALA (RIDGE REGRESSION, LASSO, DAN ELASTIC NET) Fitri Mudia Sari; Khairil Anwar Notodiputro; Bagus Sartono
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 21, No 1 (2021)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v21i1.7836

Pandemi Covid-19 yang mulai menyerang Indonesia semenjak Maret 2020 menyebabkan krisis ekonomi dan sosial di Indonesia, termasuk Sumatera Barat. Data BPS Sumatera Barat menyebutkan bahwa jumlah penduduk miskin bertambah sebanyak 20.056, dari 344.023 orang pada Maret 2020, menjadi 364.079 pada September 2020. Masalah kemiskinan merujuk pada konsep high dimensional data yang melibatkan banyak peubah sehingga digunakan Regresi Ridge, LASSO, dan Elastic Net yang dapat mengatasi masalah multikolinieritas. Penelitian ini bertujuan untuk melihat peubah yang memiliki pengaruh yang penting terhadap tingkat kemiskinan di Sumatera Barat menggunakan model terbaik yang terpilih dari Regresi Ridge, LASSO, dan Elastic Net. Hasil penelitian menunjukkan bahwa tingkat buta huruf merupakan peubah penting yang mempengaruhi tingkat kemiskinan di Sumatera Barat dengan model terbaik yaitu Regresi Ridge.

Identifikasi kecakapan inovasi lembaga riset di Indonesia berbasis dokumen Aris Yaman; Bagus Sartono; Agus M. Sholeh
Berkala Ilmu Perpustakaan dan Informasi Vol 16 No 2 (2020): December
Publisher : Perpustakaan Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bip.v16i2.424

Introduction. Duplication in inventions produced by research institutions in Indonesia becomes an issue. It is important to map the specialization of the invention in research institutions. This study examines the mapping of the innovation in research institutions in Indonesia. Data Collection Method. This study uses a patent-based technology document analysis method to map the potential of technology. The data used is patent data registered in the Direktorat Jenderal Kekayaan Intelektual (DJKI) database. Data Analysis. Metadata analysis was conducted by using the K-Means Klastering method with R software. Results and Discussions. The findings in the pre-analysis show that when the independent variable involved in the model are very large, the Localized feature selection method can effectively select variables without losing much information. There are 5 dominant technology groups that can be produced by research institutions in Indonesia, namely 1) Technology related to the development of measurement and testing instrument technology; 2) Technologies related to food and food ingredients; and 3) microstructural test equipment / detectors; 4) radar technology; 5) Technology in agriculture. Conclusion. The findings show that there are still overlapping inventions by several research institutions in the same technology cluster. K-means clustering with LFSBSS pre analysis has a clear performance in the technology cluster space.

Pemodelan topik pada dokumen paten terkait pupuk di Indonesia berbasis Latent Dirichlet Allocation Aris Yaman; Bagus Sartono; Agus M. Soleh
Berkala Ilmu Perpustakaan dan Informasi Vol 17 No 2 (2021): December
Publisher : Perpustakaan Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bip.v17i2.2147

Introduction. Fertilizer is one of the most important production factors in the world of agriculture. It is crucial to increase the capacity of technology related to fertilizers. Analysis of patent documents can be one way to analyze technological developments, especially fertilizers. Data Collection Methods. The data used in this research are metadata, especially the title and abstract of a patent document in Indonesia. With the keyword "fertilizer," Patent metadata was processed in the 1945-2017 period. Data Analysis. The LDA model can provide a reasonable interpretation regarding topic modeling based on text data. Results and Discussion. The results find that degree of the patent title is better than the abstract of the patent. The LDA approach can adequately separate the topics of fertilizer patent technology so that it does not have multiple interpretations. Conclusion. Based on the findings, there are nine essential topics in the development of fertilizer technology. There is a phenomenon of the lack of technology collaboration between IPC technology sections.

Image Classification of Beef and Pork Using Convolutional Neural Network in Keras Framework salsa bila; Anwar Fitrianto; Bagus Sartono
International Journal of Science, Engineering, and Information Technology Vol 5, No 02 (2021): IJSEIT Volume. 05 Issue 02. JULY 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v5i02.9864

Beef is a food ingredient that has a high selling value. Such high prices make some people manipulate sales in markets or other shopping venues, such as mixing beef and pork. The difference between pork and beef is actually from the color and texture of the meat. However, many people do not understand these differences yet. In addition to socialization related to understanding the differences between the two types of meat, another solution is to create a technology that can recognize and differentiate pork and beef. That is what underlies this research to build a system that can classify the two types of meat. Convolutional Neural Network (CNN) is one of the Deep Learning methods and the development of Artificial Intelligence science that can be applied to classify images. Several regularization techniques include Dropout, L2, and Max-Norm were applied to the model and compared to obtain the best classification results and may predict new data accurately. It has known that the highest accuracy of 97.56% obtained from the CNN model by applying the Dropout technique using 0.7 supported by hyperparameters such as Adam's optimizer, 128 neurons in the fully connected layer, ReLu activation function, and 3 fully connected layers. The reason that also underlies the selection of the model is the low error rate of the model, which is only 0.111.Keywords: Beef and Pork, Model, Classification, CNN

Predicting Potential Co-Authorship Using Random Forest: Case of Scientific Publications in Indonesian Institute of Sciences Rizka Rahmaida; Asep Saefuddin; Bagus Sartono
STI Policy and Management Journal Vol 4, No 2 (2019): STI Policy and Management
Publisher : Center for Science and Technology Development Studies, Indonesian Institute of Sciences

Research collaboration is one of the strength in research management due to its advantages in quantity and quality of the research. Co-authorship network is one of the proxies to evaluate the emerging research collaborations. Co-authorship that happens for the first time among a pair of author plays an important role as the key of success for their co-authorship in the future. Therefore, the research aims to build a model predicting new co-authorship as potential co-authorship. This research used scientific articles in Indonesian biodiversity research published in Scopus during 2006-2015. New co-authorship of between 4,628 pair of authors were analyzed in terms of their similarity in co-authorship network, research interest, and community to predict whether a pair of author will have a new co-authorship in future. Random forest classifier was used to build the model after applying 10-fold cross validation in various parameter and random undersampling technique as preprocessing procedures. The result shows that the similarity in network, community network, and research interest and becomes good features to predict the potential co-authorship among a pair of author. Furthermore, paired authors that predicted to be co-authored and involving authors from Indonesian Institute of Sciences are identified as the potential patners recommended for development of research teams.

Kajian Scientometrics: Analisis Jaringan Sosial pada Publikasi Internasional Indonesia Bidang Kimia Irene Muflikh Nadhiroh; Muhammad Nur Aidi; Bagus Sartono
STI Policy and Management Journal Vol 13, No 1 (2015): Warta KIML (Journal of S&T Policy and R&D Management)
Publisher : Center for Science and Technology Development Studies, Indonesian Institute of Sciences

The importance of the use of more precise methods in the management of R & D budget to encourage the development of a variety of methods based on the data in the R&D policymaking process. Scientometrics is one area of science that can be used in the management of R&D efforts in a more effective and efficient ways. Asociated with limited budgets and goals that must be achieved in the development of science and technology, the budget must be allocated to give a great impact on the development of Indonesia. Data of Indonesian international publications in Chemistry area of science was used in this study to assess the social network among authors of scientific paper in Indonesia. The objectives of this study are to provide a new method of the R&D budgd alocation process better in the future and provide policy recommendations related to the condition of social networks that has been studied. Networks among Indonesian authors in the internasional publication, especially in Chemistry area are still very fragmented, very few relationships that are formed between the authors. In addition the synergy between academia-industry-government is still less visible. Relationships between authors from different institutions are also still very little, the majority of authors writing with institution’s colleagues.Therefore, this study provides some policy recommendations, namely: i) providing wide space for academicians in Indonesia, both in university and in government R & D institutions and NGOs to collaborate; ii) the government is expected to be more proactive in communicating with the relevant academic research needs requiring for the livelihood of the people in the future; iii) the existence of incentives and rewards for the academia and the private sector to collaborate and produce a useful research; iv) the government provide greater opportunities for researchers in the private sector to collaborate with academician at universities and R&D institutions, both in the implementation of research, research funding, research infrastructure and the use of other research activities.

Co-Authors -, Salsabila Aam Alamudi Abdul Aziz Nurussadad Abidin, Muhammad Ilham Abyan, Muhammad Fatih Achmad Fauzan Achsani, Noer Azham Adi Hadianto Adinna Astrianti Afendi, Farit M Agus M Soleh Agus M Soleh Agus M. Sholeh Agus Mohamad Soleh Agusta, Madania Tetiani Agwil, Winalia Aji Hamim Wigena Akbar Rizki Akbar Rizki Alfa Nugraha Pradana Alfian Futuhul Hadi Alifviansyah, Kevin Alona Dwinata Alwinie, Ade Agusti Amanda, Nabila Tri Amatullah, Fida Fariha Amin, Toufiq Al Amir Abduljabbar Dalimunthe Ananda, Frisca Rizki Anang Kurnia Andi Susanto Andrie Agustino Anggraini Sukmawati Anggraini Sukmawati Ani Safitri Anik Djuraidah Anisa Nurizki Anisa, Rahma Annisa Permata Sari, Annisa Permata Annissa Nur Fitria Fathina Anton Ferdiansyah Anwar Fajar Rizki Ardhani, Rizky Ardiansyah, Muhlis Arie Wahyu Wijayanto Arief Daryanto Arief Daryanto Arief Gusnanto Aris Yaman Aris Yaman Aristawidya, Rafika Aruddy Aruddy Aryasa, Komang Budi Asep Rusyana ASEP SAEFUDDIN Asfar Asrirawan, Asrirawan Audina, Delia Fitri Aulia Rizki Firdawanti Aunuddin Aunuddin Auzi Asfarian Ayu Sofia Azlam Nas Bagus Randhyartha Gumilar Bariq, Muhammad Shidqi Abdul Barokaturrizkia Ameliani Bayu Indrayana Bayu Pranata, Bayu Bayu Suseno Beny Mulyana Sukandar Billy Bimandra Adiputra Djaafara Bonar Marulitua Sinaga Budi Susetyo Budi Susetyo Bukhari, Ari Shobri Cahya, Septa Dwi Carlya Agmis Aimandiga Cici Suhaeni Cici Suhaeni Cici Suhaeni Cintari, Nanda Putri Citra, Reza Felix Dani Al Mahkya Darwis Darwis Dede Dirgahayu Dede Dirgahayu Defri Ramadhan Ismana Deiby T Salaki Deni Achmad Soeboer Deri Siswara Desi Prabandari Kusuma Ningtyas Dessy Rotua Natalina Siahaan Dewi Margareth Lumbantoruan Dhanu Dhanu Saptowulan Dian Ayuningtyas Dian Handayani Dian Kusumaningrum Dito, Gerry Alfa Dwi Agustin Nuriani Sirodj Dwi Fitrianti Dwi Wahyu Triscowati Dyah Setyo Rini Eko Ruddy Cahyadi Embay Rohaeti Endriani, Desy Erfiani Erfiani Erira, Salsa Rifda Erliza Noor Erwan Setiawan, Erwan Etis Sunandi EVI RAMADHANI Evita Purnaningrum Fachry Abda El Rahman Fadhila Hijryani FAHREZAL ZUBEDI Farit M. Afendi Farit Mochamad Afendi Fauzi, Fatkhurokhman Fauziah, Nadira Aribah Ferdiansyah, Anton Ferdiansyah, Anton Fitri Mudia Sari Fitrianto, Anwar Frisca Rizki Ananda Galih Hedy Saputra Gerry Alfa Dito Ghiffary, Ghardapaty Ghaly Ginting, Victor Gumilar, Bagus Randhyartha Gustiara, Dela Hanum Rachmawati Nur Hari Wijayanto Hari Yanni, Meri Harianto Harianto Hartoyo Hartoyo Hartoyo Hazan Azhari Zainuddin Hendri Wijaya Hendria, Muhammad Herlin Fransiska Herlina Herlina Herlina Herlina Hidayat, Agus Sofian Eka Hidayat, Muhammad Hilman Dwi Anggana I Gusti Ngurah Sentana Putra I Made Sumertajaya I Wayan Mangku Idqan Fahmi IJSA, Indonesian Journal of Statistics and Its Applications Ilma, Hafizah Ilma, Meisyatul Ilmani, Erdanisa Aghnia Iman, Mutiara Nurul INA YATUL ULYA Indahwati Indonesian Journal of Statistics and Its Applications IJSA Intan Arassah, Fradha Irene Muflikh Nadhiroh Irfan Syauqi Beik Ismah, Ismah Isnaini, Mardatunnisa Ita Wulandari Itasia Dina Sulvianti Iwan Kurniawan Jaelani, Raditya Kamila, Sabrina Adnin Khairil Anwar Notodiputro Khairunnajah Khairunnajah Khairunnisa, Adlina Kharismatul Zaenab Akhilla Khikmah, Khusnia Nurul Kudang Boro Seminar Kusman Sadik Kusnaeni Kusnaeni, Kusnaeni Kusuma Ningtyas, Desi Prabandari La Surimi, La Laode Ahmad Sabil Leni Anggraini Susanti Lilik Noor Yuliati Linda Karlina Sari Lisa Amelia Luky Adrianto Lukytawati Anggraeni M. Yunus Magfirrah, Indah Matualage, Dariani Mega Ramatika Putri Megawati - Megawati Simanjuntak Meylisah, Eni Mohamad Agus Setiawan Muhadi, Rizqi Annafi Muhammad Hendria Muhammad Ilham Abidin Muhammad Irfan Hanifiandi Kurnia Muhammad Nur Aidi Muhammad Subianto Muhammad Syafiq Muhammad Yusran Mukhamad Najib Murpraptomo, Saka Haditya MY, Hadyanti Utami Nimmi Zulbainarni Nisa Nur Aisyah Nofrida Elly Zendrato Novian Tamara Nugraha, Adhiyatma Nur Aulia NUR HASANAH NURADILLA, SITI Nurfadilah, Khalilah nurrusydah, zaima Oktaviani, Rina Pardomuan Robinson Sihombing Parwati Sofan, Parwati Pika Silvianti Popong Nurhayati Pratiwi, Windy Ayu Purwanto, Arie Puspita, Novi Qalbi, Asyifah Rachma Fitriati Rahardi, Naufal Rahardiantoro, Septian Rahma Anisa Rahma Dany Asyifa Rahman, Gusti Arviana Rahmatulloh, Febriandi Rais Rakhmalia, Riza Indriani Rere Kautsar Resiloy, Unique Desyrre A. Rhendy K P Widiyanto Riantika, Ines Rina Oktaviani Riska Yulianti, Riska Riza Indriani Rakhmalia Rizal Bakri Rizka Rahmaida Rizqi, Tasya Anisah ROCHYATI ROCHYATI Roy Sembel Rupmana Br Butar Sachnaz Desta Oktarina salsa bila Saptowulan Saputra, Galih Hedy Sarah Putri Sari, Jefita Resti Sentana Putra, I Gusti Ngurah Seta Baehera Setiabudi, Nur Andi Setiadi Djohar Setyowati, Silfiana Lis Shafa, Shalshabilla Sholeh, Agus M. Siregar, Indra Rivaldi Siskarossa Ika Oktora Siti Aisyah Sri Amaliya Suantari, Ni Gusti Ayu Putu Puteri Suhaeni, Cici Suhaeri, ⁠Bulan Cahyani Sukarna Sukarna Sunan, Muh. Suprayogi, Muhammad Azis Susanto, Andi Suseno Bayu Syam, Ummul Auliyah Syarip, Dodi Irawan Syella Zignora Limba Totong Martono Toufiq Al Amin Toufiq Al Amin Triscowati, Dwi Wahyu Tsabitah, Dhiya Ulayya Tsaqif, Denanda Aufadlan Ujang Sumarwan Ulfa, Yopi Ariesia Ulfia, Ratu Risha Utami Dyah Syafitri Valentika, Nina Vera Maya Santi Virgie, Meriza Immanuela Wahida Ainun Mumtaza Wahyudi Setyo Wahyuni, Silvia Tri Waliulu, Megawati Zein Wawan Saputra Yani Prihantini Hiola Yanuari, Eka Dicky Darmawan Yenni Angraini Yoga Primanda Yopi Ariesia Ulfa Yudhianto, Rachmat Bintang Yuliani, Leny Zahra, Latifah Zaima Nurrusydah Zulhijrah Zulmi, Muhammad Indra

Title

Found 168 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 168 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 168 Documents
Search