SISTEM PENDUKUNG KEPUTUSAN PRIORITAS LOKASI PERBAIKAN JALAN MENGGUNAKAN METODE AHP (ANALYICAL HIERARCHY PROCESS) DAN SAW (SIMPLE ADDITIVE WEIGHTING) STUDI KASUS KABUPATEN PASURUAN

Repositor ◽  
2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Feny Aries Tanti ◽  
Galih Wasis Wicaksono ◽  
Agus Eko Minarno
Keyword(s):  
Analytical Hierarchy Process ◽  
Public Works ◽  
Economic Sectors ◽  
The Road ◽  
Regional Budget ◽  
Program Calculation ◽  
The Social ◽  
Alternative Position ◽  
Simple Additive Weighting ◽  
Hierarchy Process

AbstrakJalan merupakan prasarana yang ada di darat untuk sektor sosial dan ekonomi. Kesadaran pemerintah dalam memperbaiki jalan yang rusak merupakan hal utama dalam anggaran daerah. Peningkatan jumlah lokasi jalan berkaitan dengan peningkatan jumlah perbaikan jalan yang akan dilakukan. Penelitian ini bertujuan untuk menentukan lokasi perbaikan jalan yang terbaik. Jalan yang diperbaiki berdasarkan dari beberapa alternatif posisi lokasi perbaikan jalan. Cara menetapkan lokasi perbaikan jalan dengan memberikan posisi peringkat alternatif berdasarkan kriteria yang sudah ditetapkan. Berdasarkan pertimbangan kriteria dapat diukur secara kuantitatif dengan menggunakan metode AHP (Analytical Hierarchy Process) dan SAW (Simple Additive Weighting). Berdasarkan hasil pengujian terhadap program sudah dapat digunakan. Hasil dari perhitungan program sudah sesuai dengan hasil perhitungan yang sudah dilakukan. Pengujian dilakukan terhadap 10 responden. Dengan sistem ini diharapkan membantu pihak Pekerjaan Umum (PU) Bina Marga untuk menentukan lokasi perbaikan jalan secara lebih objektif. Kata Kunci: Analytical Hierarchy Process, Simple Additive Weighting, Sistem Pendukung KeputusanAbstractThe road is a land-based infrastructure for the social and economic sectors. Government awareness in repairing a broken road is a key thing in a regional budget. The increasing number of road locations relates to the increasing number of road repairs to be made. The research aims to determine the location of the best road repairs. The repaired path is based off several alternative position of road repair location. How to set the road repair location by providing an alternate ranking position based on the criteria already set. Based on consideration criteria can be measured quantitatively by using AHP (Analytical Hierarchy Process) and SAW (Simple Additive Weighting). Based on the test results of the program can be used. The results of the program calculation are already in accordance with the calculated results. Testing was conducted against 10 respondents. This system is expected to assist the Public Works (PU) of Bina Marga to determine the location of road repairs in a more objective. Keyword: Analytical Hierarchy Process, Simple Additive Weighting, Decision Support System

scholarly journals ANALISIS PERBANDINGAN ALGORITMA ANALYTICAL HIERARCHY PROCESS DAN PROFILE MATCHING

2020 ◽  
Vol 3 (1) ◽  
pp. 188-197
Author(s):  
Heri Abijono ◽  
Kusrini Kusrini
Keyword(s):  
Analytical Hierarchy Process ◽  
Social Protection ◽  
Number Of Children ◽  
Profile Matching ◽  
Priority Ranking ◽  
The Social ◽  
Simple Additive Weighting ◽  
Ranking Information ◽  
Hierarchy Process ◽  
House Building

In 2015, the researchers created a decision support system application to determine the priority ranking of students in obtaining Poor Student Assistance funds (BSM) to overcome the problem of distributing BSM funds by applying the Simple Additive Weighting algorithm. In 2017, researchers modified the program by adding criteria on the ownership of the Social Protection Card (KPS) or the Poor Certificate (SKM) owned by the parents/guardians of students in addition to the criteria that existed in the previous system, namely the income of parents/guardians , the state of the house building of the parents/guardians, the number of siblings, and the number of children still dependent on the parents. The system can be used to calculate the priority of students in receiving BSM for students whose parents/guardians do not have KPS/SKM, whereas students with their parents/guardians who have KPS/SKM get first priority to receive BSM funds, and for students with parents/guardians who did not return a questionnaire the questionnaire can still receive BSM funding in the most recent. Current research describes the workings of the algorithm of Analytical Hierarchy Process and Profile Matching algorithm in processing BSM fund distribution’s criterias to produce priority ranking information of students receiver BSM funds.

scholarly journals Implementasi Metode SAW Dan AHP Pada Sistem Informasi Penilaian Kinerja Dosen

2016 ◽  
Vol 8 (2) ◽  
pp. 86
Author(s):  
Ni Ketut Dewi Ari Jayanti
Keyword(s):  
Analytical Hierarchy Process ◽  
Simple Additive Weighting ◽  
Hierarchy Process

<p>Dosen adalah tenaga pendidik profesional yang memiliki tugas menjalankan fungsi Tri Darma Perguruan Tinggi dalam mencerdaskan kehidupan bangsa. Selain itu, agar fungsi dan tugas yang melekat pada jabatan fungsional dosen dilaksanakan sesuai dengan aturan yang berlaku, maka diperlukan penilaian kinerja dosen yang menjamin terjadinya proses pembelajaran yang berkualitas di jenjang pendidikan tinggi. Pelaksanaan penilaian kinerja dosen dimaksudkan bukan untuk menyulitkan dosen, tetapi sebaliknya penilaian kinerja dosen dilaksanakan untuk mewujudkan dosen yang profesional, karena harkat dan martabat suatu profesi ditentukan oleh kualitas layanan profesi yang bermutu. Untuk dapat menghasilkan laporan kinerja dosen yang akurat, tentu saja dibutuhkan suatu metode yang dapat melibatkan banyak komponen atau kriteria yang dinilai (multi kriteria), sehingga dalam penyelesaiannya diperlukan sebuah sistem pendukung keputusan dengan multikriteria. Metode sistem pendukung keputusan yang multikriteria antara lain yaitu Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW), namun keduanya mempunyai metode pengukuran yang berbeda-beda. Hasil yang didapat dari penelitian ini adalah menerapkan metode SAW dan metode AHP dimana pada penilaian kinerja dosen ini melibatkan kriteria dan sub-kriteria serta sistem penilaian kinerja dosen. Kriteria serta sub-kriteria tersebut dapat ditambah ataupun dikurangi sesuai dengan peraturan yang berlaku. Disamping itu, pada masing-masing kriteria tersebut dapat ditentukan jumlah bobotnya sehingga penilai dapat memprioritaskan bobot yang dirasa penting.</p>

scholarly journals Analisis Perbandingan Kontrak Tradisional dan Kontrak Berbasis Kinerja (KBK) Berdasarkan Risiko Persepsi Kontraktor dengan Metode Analytical Hierarchy Process (AHP)

2016 ◽  
Vol 22 (1) ◽  
pp. 13
Author(s):  
Shifa Fauziyah ◽  
M. Agung Wibowo ◽  
Hery Suliantoro
Keyword(s):  
Analytical Hierarchy Process ◽  
Alternative Assessment ◽  
Unit Price ◽  
The Road ◽  
Lump Sum ◽  
Road Project ◽  
Higher Rank ◽  
The Mean ◽  
And Performance ◽  
Hierarchy Process

Two types of contracts that are used in the road project is a traditional contract (Unit Price) and performance based contract (Lump Sum). Both types of contracts have their own risks. Therefore, it is necessary to measure which type of contracts is more risky between traditional contract and performance-based contract from the perspective of the contractor using Analytical Hierarchy Process. Analytical Hierarchy Process (AHP) is a method used to find a weight where the intensity of the risks using traditional contract and performance-based contract can be measured and analyzed. This research took sample for project with a traditional contract is Kendal – Semarang Road Project. While the samples for the project with a performance based contract is Semarang – Bawen Road Project. The results of the calculation by the alternative assessment, are the higher rank is performance based contract which is 0.56 (56%), while traditional contract is the second with the total score 0.44 (44%). The mean is performance based contract more risky than traditional contract from the perspective of the contractor.

scholarly journals The application of the analytical hierarchy process and simple additive weighting methods in making decisions for high achieving students in vocational high schools.

JNANALOKA ◽  
2021 ◽  
pp. 19-27
Author(s):  
Aulia Tegar Rahman ◽  
Sitti Muhartini ◽  
Astika Wulansari ◽  
Rizky Amirullah Hasiani ◽  
Arif Baktiar
Keyword(s):  
Analytical Hierarchy Process ◽  
Formal Education ◽  
Average Score ◽  
Vocational High School ◽  
High Achieving Students ◽  
Collection Data ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Weighting Methods

Vocational High School is a formal education unit that organizes vocational education that prepares students, especially to work in certain fields. In determining students who excel in certain fields, it is necessary to have a decision support system to improve the quality of decisions in determining students who excel from the highest average score. However, using the highest average score does not get optimal results because it is not adjusted to the existing needs in determining outstanding students. In this study, it can be used as a reference in making decisions for outstanding students by applying the Analytical Hierarchy Process and Simple Additive Weighting methods. The steps taken are: Data collection, Data Preprocessing, Ranking and Comparison of Results between Analytical Hierarchy Process, Simple Additive Weighting with manual weighting results. The results of the ranking comparison show that there are 6 students with the top ranking who are recommended to be outstanding students in the linguistic group.

scholarly journals The application of the analytical hierarchy process and simple additive weighting methods in making decisions for high achieving students in vocational high schools.

JNANALOKA ◽  
2021 ◽  
pp. 63-71
Author(s):  
Aulia Tegar Rahman ◽  
Sitti Muhartini ◽  
Astika Wulansari ◽  
Rizky Amirullah Hasiani ◽  
Arif Baktiar
Keyword(s):  
Analytical Hierarchy Process ◽  
Formal Education ◽  
Average Score ◽  
Vocational High School ◽  
High Achieving Students ◽  
Collection Data ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Weighting Methods

Vocational High School is a formal education unit that organizes vocational education that prepares students, especially to work in certain fields. In determining students who excel in certain fields, it is necessary to have a decision support system to improve the quality of decisions in determining students who excel from the highest average score. However, using the highest average score does not get optimal results because it is not adjusted to the existing needs in determining outstanding students. In this study, it can be used as a reference in making decisions for outstanding students by applying the Analytical Hierarchy Process and Simple Additive Weighting methods. The steps taken are: Data collection, Data Preprocessing, Ranking and Comparison of Results between Analytical Hierarchy Process, Simple Additive Weighting with manual weighting results. The results of the ranking comparison show that there are 6 students with the top ranking who are recommended to be outstanding students in the linguistic group.

scholarly journals Determining Laying Hens Production Performance Using Analytical Hierarchy Process and Simple Additive Weighting Methods

2020 ◽  
Vol 11 (1) ◽  
pp. 26
Author(s):  
Andaka Dadi Pradana ◽  
Findra Kartika Sari Dewi ◽  
Albertus Joko Santoso
Keyword(s):  
Decision Support ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Laying Hens ◽  
Production Performance ◽  
Ranking Order ◽  
Simple Additive Weighting ◽  
Chicken Eggs ◽  
Hierarchy Process ◽  
Weighting Methods

Abstract. The high consumption of chicken eggs in Indonesia must be balanced with the productivity level of laying hens to avoid scarcity resulting in an increasing price of chicken eggs. The maximum egg production can be possibly achieved by implementing a system of grouping chickens into good quality and poor performance different groups. This grouping can be made with a decision support system using the Analytical Hierarchy Process and Simple Additive Weighting methods. The criteria used in this test are eggs total, total of hens per coop, age, and hens’ death per coop. Alternatives used are coop 1, 2, 3, and 4. The coops were chosen as the alternative for the breeders compared the laying hens’ production performance based on the production per coop. The testing results, with the same input, show the same ranking order for both methods. The ranking order respectively the best to the worst is coop 1, coop 3, coop 2 and coop 4.Keywords: Laying hens, production performance, decision support system, Analytical Hierarchy Process, Simple Additive Weigthing.Abstrak. Banyaknya konsumsi telur ayam di Indonesia, harus diimbangi dengan tingkat produktivitas ayam petelur agar tidak terjadi kelangkaan yang mengakibatkan kenaikan harga telur ayam. Produksi telur yang maksimal bisa dicapai dengan menerapkan sistem pengelompokan ayam-ayam dengan kualitas performa yang baik dan yang kurang baik. Pengelompokan ini bisa dibuat dengan sistem pendukung keputusan menggunakan metode Analytical Hierarchy Process dan Simple Additive Weighting. Kriteria yang digunakan dalam pengujian ini adalah Total telur, Total ayam per kandang, umur ayam dan kematian ayam per kandang. Alternative yang digunakan adalah kandang 1, 2, 3, and 4. Kandang dipilih sebagai alternative karena peternak membandingkan performa produksi ayam petelur berdasarkan produksi per kandangnya. Hasil pengujian, dengan masukan yang sama, menunjukkan hasil perangkingan dengan urutan yang sama untuk kedua metode. Rangking terbaik sampai dengan terburuk, secara berturut-turut: kandang 1, kandang 3, kandang 2 dan kandang 4.Kata Kunci: Ayam Petelur, Performa Produksi, Sistem Pendukung Keputusan, Analytical Hierarchy Process, Simple Additive Weigthing.

scholarly journals Integrating GIS and Analytical Hierarchy Process to Determine Flood Vulnerability Level in Surabaya, Indonesia

2021 ◽  
Vol 936 (1) ◽  
pp. 012036
Author(s):  
Nurwatik ◽  
A B Cahyono ◽  
A O Rachmandafitri
Keyword(s):  
Analytical Hierarchy Process ◽  
Social Economic ◽  
Flood Vulnerability ◽  
The Social ◽  
Huge Impact ◽  
National Disaster ◽  
Inundation Height ◽  
The Impact ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

Abstract Flood is one of the hydrometeorological disasters that occur in Surabaya, especially during the rainy season. The occurrence of floods brings a huge impact on the economy, the environment, and humans’ losses. Based on the National Disaster Management Agency in Indonesia (BNPB) records, the flood inundation height in Surabaya reach about 10 -70 cm for 6 hours. Some anticipation efforts are required to minimize the impact. Therefore, this study aims to provide a flood vulnerability level assessment using the GIS and Analytical Hierarchy Process (AHP) method as a priority recommendation in increasing capacity. This research uses 4 criteria in the assessment including social, economic, physical, and environmental. Each criterion is divided into several classes with adjusted scoring values. The results of the AHP rank the social criteria as the highest weighted value of 0.42322. Furthermore, the results of the flood vulnerability assessment yield some areas that have the highest vulnerability value including Trengilismejoyo District, Wonocolo District, Dukuhpakis District, Sukolilo District, Krembangan District, Semampir District, and Benowo District.

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