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All Journal INTEGER: Journal of Information Technology JURNAL CEMERLANG: Pengabdian pada Masyarakat JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Sistem Informasi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Mandiri IT Aptekmas : Jurnal Pengabdian Kepada Masyarakat Informatics and Computer Engineering Journal Innovative: Journal Of Social Science Research Pelita: Jurnal Pengabdian kepada Masyarakat AMMA : Jurnal Pengabdian Masyarakat
- STMIK Nusa Mandiri, Adelia Alvi Yana
Universitas Nusamandiri
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Journal : Informatics and Computer Engineering Journal

 1 
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BANK TERBAIK UNTUK PEMBUKAAN REKENING MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP): Metode Analytical Hierarchy Process Atin Supriatin; Adelia Alvi Yana
Informatics and Computer Engineering Journal Vol 2 No 1 (2022): Periode Agustus 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1510.803 KB) | DOI: 10.31294/icej.v2i1.627

Abstract

Banks are business entities that collect public funds as a place to carry out various financial-related transaction activities that people generally use to save money. There are many kinds of banks in Indonesia that offer all the advantages ranging from administration to the interest given to customers. It is very important in choosing a bank because the better the facilities and types of services provided by the bank, the greater satisfaction with the customer. The existence of a decision support system is a solution to provide public consideration in selecting the best bank for account opening. The method used in this research is the Analytical Hierarchy Process (AHP) method. Analytical Hierarchy Process (AHP) is a method of decision support system by using a hierarchy and making comparisons on each criterion and alternative that is considered in decision making. The final result of data management and testing of the AHP method was found that BCA had the most superior score of 35.80%, while BRI placed second with a value of 34.40%. Then the third position is Mandiri at 16.40% and the last is BNI at 13.40%.
Sistem Pendukung Keputusan Sistem Pendukung Keputusan Penerima Bantuan Program Keluarga Harapan (PKH) Menggunakan Metode Simple Additive Weighting Di Desa Pasirukem: Metode Simple Additive Weighting Anggie Dinda Surya Surya; Adelia Alvi Yana
Informatics and Computer Engineering Journal Vol 2 No 1 (2022): Periode Agustus 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1310.676 KB) | DOI: 10.31294/icej.v2i1.670

Abstract

Program Keluarga Harapan or commonly called PKH is one of the government's programs, namely by providing assistance to Poor Families as poverty alleviation in Indonesia. PKH has been implemented since 2007 and is a Social Protection Program known internationally as Conditional Cash Transfer (CCT). In its implementation, the government needs to select families who are eligible for the program assistance, in the process there are still errors in determining the target families who are eligible to receive the PKH program. The Decision Support System can be a solution so that the beneficiaries of the PKH program are poor families who are on target. With the Simple Additive Weighting (SAW) method as the calculation which is a weighted addition method. Based on the results of calculations ranging from normalization to the ranking process, where from this value the highest to lowest alternative will be taken as a determination for prospective PKH recipients in Pasirukem Village. From this process, the highest ranking results with a value of 9.125 on behalf of Yapi Agil, Hamlet of Wagirsari. The Decision Support System for Recipients of Program Keluarga Harapan Using the Simple Additive Weighting (SAW) Method in Pasirukem Village can help provide decisions to the Village in determining which families will be given social assistance based on the highest score on the ranking results.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BANK TERBAIK UNTUK PEMBUKAAN REKENING MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP): Metode Analytical Hierarchy Process Supriatin, Atin; Yana, Adelia Alvi
Informatics and Computer Engineering Journal Vol 2 No 1 (2022): Periode Agustus 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v2i1.627

Abstract

Banks are business entities that collect public funds as a place to carry out various financial-related transaction activities that people generally use to save money. There are many kinds of banks in Indonesia that offer all the advantages ranging from administration to the interest given to customers. It is very important in choosing a bank because the better the facilities and types of services provided by the bank, the greater satisfaction with the customer. The existence of a decision support system is a solution to provide public consideration in selecting the best bank for account opening. The method used in this research is the Analytical Hierarchy Process (AHP) method. Analytical Hierarchy Process (AHP) is a method of decision support system by using a hierarchy and making comparisons on each criterion and alternative that is considered in decision making. The final result of data management and testing of the AHP method was found that BCA had the most superior score of 35.80%, while BRI placed second with a value of 34.40%. Then the third position is Mandiri at 16.40% and the last is BNI at 13.40%.
Sistem Pendukung Keputusan Sistem Pendukung Keputusan Penerima Bantuan Program Keluarga Harapan (PKH) Menggunakan Metode Simple Additive Weighting Di Desa Pasirukem: Metode Simple Additive Weighting Surya, Anggie Dinda Surya; Yana, Adelia Alvi
Informatics and Computer Engineering Journal Vol 2 No 1 (2022): Periode Agustus 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v2i1.670

Abstract

Program Keluarga Harapan or commonly called PKH is one of the government's programs, namely by providing assistance to Poor Families as poverty alleviation in Indonesia. PKH has been implemented since 2007 and is a Social Protection Program known internationally as Conditional Cash Transfer (CCT). In its implementation, the government needs to select families who are eligible for the program assistance, in the process there are still errors in determining the target families who are eligible to receive the PKH program. The Decision Support System can be a solution so that the beneficiaries of the PKH program are poor families who are on target. With the Simple Additive Weighting (SAW) method as the calculation which is a weighted addition method. Based on the results of calculations ranging from normalization to the ranking process, where from this value the highest to lowest alternative will be taken as a determination for prospective PKH recipients in Pasirukem Village. From this process, the highest ranking results with a value of 9.125 on behalf of Yapi Agil, Hamlet of Wagirsari. The Decision Support System for Recipients of Program Keluarga Harapan Using the Simple Additive Weighting (SAW) Method in Pasirukem Village can help provide decisions to the Village in determining which families will be given social assistance based on the highest score on the ranking results.
Co-Authors - Universitas Nusa Mandiri, Farizal Agustian - Universitas Nusa Mandiri, Ilham Ramadhan - Universitas Nusa Mandiri, Yoga Riau ., Syahriani Agustian, Farizal Andi Arfian Anggie Dinda Surya Surya Ani Yoerani Anna Mukhayaroh Anna Mukhayaroh, Anna Ardian Dwi Praba arizona, fredy Astrilyana - Universitas Bina Sarana Informatika Astrilyana Astrilyana Astrilyana Astrilyana Astrilyana Astrilyana Astrilyana Astrilyana, Astrilyana Atin Supriatin Atin Supriatin, Atin Bosrin Simare Mare Cahyadi, Cepi Candra - Universitas Bina Sarana Informatika Cepy Unar Dede Mustomi Dila Amanda Eni Pudjiarti fredy arizona Hamdum Sulaiman Ilham Ramadhan Imam Taopik Juarni Siregar Juarni Siregar Juarni Siregar Lulu Ulhayah Nicodias Palasara Nunung Hidayatun Nurhayati, M Sinta Oktarini Sari, Ani Rachmanita, Novia Resti Lia Andharsaputri Reynaldi Arya Putra Riau, Yoga Rony, Zahara Tussoleha Setiaji Setiaji - Universitas Bina Sarana Informatika Siregar , Juarni Siregar, Juarmi Sulistianto Sw Sulistio, Aziz Supriatin Surya, Anggie Dinda Surya Syafianto Syafianto Syahriani - STMIK Nusa Mandiri Syahriani - Universitas Nusa Mandiri Syahriani . Tri Santoso Tri Santoso Tri Santoso Tri Santoso - Universitas Nusa Mandiri Yoraeni, Ani