Sistem Pendukung Keputusan Pemberian BLT Desa Sidaharja Dengan Metode WASPAS

Amanatulloh, Sahrul Ade; Wibisono, Setyawan

doi:10.51903/elkom.v15i1.795

Cited by 4 publications

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“…Menyelesaikan masalah seperti pengambilan keputusan, evaluasi, dll. Berdasarkan perngkingan BLT Desa Sidaharja adalah Budi Susilo memiliki nilai 𝑄𝑖 tertinggi yaitu 0,475 dan memiliki bobot persentase tertinggi, Budi Susilo adalah hasil rekomendasi pemilihan BLT Desa Sidaharja [7].…”

Section: Tinjauan Pustaka 21 Penelitian Terdahuluunclassified

Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Weighted Aggregated Sum Product Assesment (Waspas) (Studi Kasus Desa Bukit Makmur)

Maria Mitro Wid Eko,

Sidiq Purnomo

2024

jati

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BLT adalah program bantuan pemerintah dalam bentuk uang tunai atau bantuan lain yang bersyarat dan tidak bersyarat, khususnya bagi masyarakat miskin. Pemberian bantuan langsung harus tepat, sederhana, dan terkoordinasi, sehingga bantuan yang di berikan tepat sasaran kepada yang membutuhkan. Setelah melakukan penelitian dan wawancara di lapangan, pemerintah desa setempat masih menggunakan proses dan pengelolaan data penduduk di desa Bukit Makmur menggunakan proses komputerisasi yang standar dengan menggunakan microsoft exel, dan cara menentukan penerima BLT masih menggunakan musyawarah dari pencatatan masing-masing ketua RT. Dalam permasalahan ini dapat diselesaikan dengan membangun suatu Sistem Pendukung Keputusan (SPK), untuk menentukan penerima BLT Desa Bukit Makmur, menggunakan Metode Weight Aggregated Sum Product Assesment (WASPAS). Pada penelitian ini terdapat kriteria dan alternatif yang telah ditentukan. Data tersebut akan digunakan sebagai proses perhitungan sesuai dengan metode yang telah di gunakan agar dapat mengatasi permasalahan yang terjadi di desa Bukit Makmur. Berdasarkan hasil perbandingan di atas, dari 40 data alternatif terdapat 30 data alternatif yang menerima bantuan dan 10 yang tidak menerima bantuan. Selanjutnya, terdapat 38 data alternatif yang sesuai dan 2 data alternatif yang tidak sesuai.

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Section: Tinjauan Pustaka 21 Penelitian Terdahuluunclassified

Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Weighted Aggregated Sum Product Assesment (Waspas) (Studi Kasus Desa Bukit Makmur)

Maria Mitro Wid Eko,

Sidiq Purnomo

2024

jati

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“…Metode Weighted Aggregated Sum Product Assesment (WASPAS) adalah metode yang dapat mengurangi kesalahankesalahan atau mengoptimalkan penaksiran untuk memilih nilai tertinggi dan terendah [17]. Demikian, tujuan utama pendekatan MCDM adalah memilih opsi terbaik dari sekumpulan alternatif di berbagai kriteria yang saling bertentangan [18]. Metode WASPAS merupakan kombinasi unik dari pendekatan MCDM yang diketahui yaitu model jumlah tertimbang (Weighted sum model/WSM) dan model produk tertimbang (Weight Product Model/WPM) [19].…”

Section: Metode Waspasunclassified

Implementasi Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Oli Mesin Sepeda Motor 150 CC

Hutagalung,

Boy,

Yahdie

2022

bids

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There are many types and types of engine lubricating oil, so you must be selective in choosing the right lubricant (oil) to preserve the life time of the engine. With the oil, the friction between the components in the engine becomes smoother and makes it easier for the engine to reach the ideal temperature. Oil is often used to reduce friction (friction), if two surfaces that are attached to each other move, friction will arise. If the engine heat is not absorbed, the wear and tear of engine components will accelerate. The purpose of this study is to implement a decision support system using the Weighted Aggregated Sum Product Assessment (WASPAS) method in selecting the best motorcycle engine oil so that it can assist motorcycle riders in choosing the best engine oil. Motorcycle owners do not experience difficulties and do not need a long time in the selection of engine oil for their motorcycles. The Waspas method can be applied in solving the problem of determining the best lubricant (oil) for 150cc sport motorbikes. The best lubricant (oil) based on the calculation results of 5 alternatives with a value above 0.60, namely deltalube daily with the highest score of 0.6906, repsol mx25 with a value of 0.6902, ahm oil mpx 2 with a value of 0.6644, federal ultratec with a value of 0.6238 and shell advance ax5 with a value of 0.6097. With the application of the desktop-based Waspas method in decision making, it can make it easier for motorcycle owners to select the best lubricant (oil) for 150cc sport motorbikes.

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“…has the highest score because he has the criteria for the income of the head of the household having the highest percentage of weight . The combination of the superiority of the income of the head of the household and the superiority of weight giv es a high score [12]. and other research on the Decision Support System for the Performance Assessment of the Head of the WASPAS Method Drawing Study Program with ROC Weighting.…”

Section: Introductionmentioning

confidence: 96%

Decision Support System for Extreme Poverty BLT Recipients Combining the ROC and WASPAS Methods

Nuryadi,

Resmi,

Lestari

2023

TIERS

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The Covid-19 pandemic has begun to be under control and the basis for the Village Fund BLT distribution has been adjusted. BLT Dana Desa aims to increase the income of extremely poor families in the village. In determining and determining prospective Beneficiary Families (KPM), each village will be guided by the data for the Acceleration of Extreme Poverty Elimination (PPKE) provided by the central government through the local government which will later be verified by the village government. Therefore, a Decision Support System is needed to find out who really deserves assistance, so that the allocation can be right on target according to predetermined criteria. In this study the results of this study show that the proposed model can be used well in conducting the selection process for laboratory assistant admissions. In this research, the use of ROC is able to provide appropriate criteria weights based on the level of importance of the criteria from the decision maker. Meanwhile, the use of the WASPAS method is able to produce decisions in the form of the best alternatives that can be used to help decision makers. From the calculation process that has been done, it can be concluded that Sunardi got the highest score, namely 0.7276 and Muksin got the lowest score, namely 0.5491. The existence of this system can make it easier for the government, especially villages, to identify beneficiaries and minimize errors in selecting beneficiaries.

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Sistem Pendukung Keputusan Pemberian BLT Desa Sidaharja Dengan Metode WASPAS

Cited by 4 publications

References 0 publications

Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Weighted Aggregated Sum Product Assesment (Waspas) (Studi Kasus Desa Bukit Makmur)

Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Weighted Aggregated Sum Product Assesment (Waspas) (Studi Kasus Desa Bukit Makmur)

Implementasi Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Oli Mesin Sepeda Motor 150 CC

Decision Support System for Extreme Poverty BLT Recipients Combining the ROC and WASPAS Methods

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