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All Journal Perfecting a Video Game with Game Metrics JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Pengabdian Masyarakat IPTEK Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
Asyahri Hadi Nasyuha
STMIK Triguna Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

 1 
REGRESI LINIER BERGANDA UNTUK MEMPREDIKSI JUMLAH NASABAH Agus Fahmi Limas Putra; Junaidi Junaidi; Zakarias Situmorang; Asyahri Hadi Nasyuha
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 5, No 2 (2022): June 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i2.915

Abstract

Industri perbankan merupakan sektor penting dalam pembangunan maupun dalam pemodalan  usaha dan dipandang sebagai inti dari sistem perekonomian. Melihat hal ini, pemerintah melonggarkan aturan-aturan bagi perbankan dan non perbankan baik dari sektor pemerintah ataupun swasta untuk memberikan pinjaman atau bantuan kepada para nasabah atau pelaku UMKM. Banyaknya nasabah-nasabah dalam penyaluran kredit atau perbankan juga akan banyak terjadi masalah – masalah dalam pinjaman ataupun pengembalian pinjaman dana, maka dari itu pihak penyaluran kredit harus siap menghadapi resiko kredit yang bermasalah atau biasa disebut dengan kredit macet. Penelitian ini bertujuan untuk menciptakan suatu sistem berbasis komputerisasi, kemudian dengan diterapkannya sistem tersebut maka hasil yang didapatkan akan benar-benar akurat dan cepat. Diharapkan metode regresi linier berganda ini dapat menyelesaikan  permasalahan dalam menangani atau mengatasi nasabah yang bermasalah sehingga dapat membantu pihak perusahaan untuk memprediksi jumlah kredit macet setiap bulannya.
Analisis Wsm Dan Wp Dalam Menentukan Pupuk Terbaik Dengan Pendekatan Wsm-Score Dan Vector Asyahri Hadi Nasyuha; Suardi Yakub; Widiarti Rista Maya; Yohanni Syahra; Saniman Saniman
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 4, No 2 (2021): June 2021
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v4i2.538

Abstract

Fertilizer is a material that is given to the soil or plants to meet the nutritional needs of the plant. Fertilization needs to be done rationally according to plant needs. In the supply of fertilizer, farmers have difficulty in determining the best fertilizer for their crops, making it difficult to choose which fertilizers are good for their crops. In determining the best fertilizer, a decision support system can be used as an alternative to help someone make decisions more effectively and efficiently by utilizing certain data and models. To solve the existing problems, it is necessary to conduct research in decision making using the Weighted Sum Model (WSM) and Weight Product (WP) Methods which can produce decisions based on the best fertilizer criteria that will be purchased by customers. The Weighted Sum Model (WSM) method is one of the simplest and easiest methods to understand its application, this method is also part of the MCDM (Multi-Criteria Decision Making) method in evaluating the value of each alternative. The Weight Product (WP) method is a method using multiplication to relate the attribute rating, where the rating of each attribute must be ranked with the attribute weight in question. From the results of the implementation of this system, it can be concluded that using the Weighted Sum Model and Weight Product method can help customers in the decision-making process for choosing the best fertilizer to use on their plants.
Co-Authors Abdul Karim Abdullah, MT, Dr. Rijal Agus Fahmi Limas Putra Agustina Sidabutar Ahmad Fitri Boy Alda Fadilla Amrullah Amrullah Ardianto Pranata Asmar Yulastri B. Herawan Hayadi Badrul Anwar Buyung Solihin Hasugian Dedy Irfan Devri Suherdi Dicky Nofriansyah Fauzi Erwis Ganefri Ganefri Ginting, Erika Fahmi Hafizah Hafizah Hafizah Hafizah Hasan Maksum Hendra Jaya Hendryan Winata Hutagalung, Juniar Iwan Purnama Jalius Jama Junaidi Junaidi Lusiyanti Lusiyanti M. Giatman Marsono Marsono Marsono Marsono Masyuni Hutasuhut Mesran, Mesran Muhammad Sabir Ramadhan Muhammad Syahril Muhammad Zunaidi Mukhlidi Muskhir Mukhlis Ramadhan Nizwardi Jalinus Nur Yanti Nur Yanti Lumban Gaol Pane, Usti Fatimah Sari Sitorus Perangin Angin, Moch Iswan Purwadi Purwadi Putri Febrianty Ramadhan, Mukhlis Refdinal, Refdinal Rico Imanta Ginting Rusydi, Ibnu Saiful Nur Arif Saniman Saniman Simatupang, Wakhinuddin Sinta Mega Sinaga Situmorang, Zakarias Suardi Yakub Trinanda Syahputra Tugiono Tugiono Vina Winda Sari Widiarti Rista Maya Yohanni Syahra Yuni Franciska Tarigan Zulham Zulham Zulkifli Zulkifli Zunaidi, Muhammad