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>

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 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.

Analisis Hybrid DSS untuk Menentukan Lokasi Wisata Terbaik

2021 ◽  
Vol 5 (2) ◽  
pp. 238-246
Author(s):  
Annisak Izzaty Jamhur Nisa ◽  
Radius Prawiro ◽  
Novi Trisna
Keyword(s):  
Decision Support ◽  
Analytical Hierarchy Process ◽  
Location Decision ◽  
Ahp Method ◽  
Tourist Attractions ◽  
West Sumatra ◽  
To Come ◽  
Simple Additive Weighting ◽  
The Many ◽  
Hierarchy Process

Tourism is an activity carried out by humans to a place alone or together to have fun to get rid of the burden of thoughts that were previously acquired. The Mandeh area is a leading tourist area in West Sumatra which has 10 alternative tourist attractions. With the many tourist locations in the area, tourists are confused about what places to visit in the Mande area. In this study, a combined analysis or Hybrid Decision Support System (DSS) was carried out using a combination of the Analytical Hierarchy Process (AHP) method with the Simple Additive Weighting (SAW) method. The purpose of this research is to be able to combine AHP and SAW methods in one DSS analysis and then be able to recommend the decision results to tourists in the form of the best tourist locations in the Mandeh area. With the recommendation, it can increase the interest of tourists to come and increase the opinions of tourist location owners and the surrounding community. The result of this research is to obtain a recommendation for the best tourist location decision in the Mande area of ​​West Sumatra, namely the location of Manjunto Beach with the highest value of 0.895.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBELIAN HANDPHONE MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) STUDI KASUS PADANG CELL LUBUKLINGGAU

2019 ◽  
Vol 4 (1) ◽  
pp. 45-54
Author(s):  
Davit Irawan ◽  
Beni Fitcen Abadan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
System Design ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Data Flow ◽  
Flow Diagram ◽  
Use Context ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Abstrak Penelitian dengan judul “Sistem Pendukung Keputusan Untuk Pembelian Handphone Menggunakan Metode SAW (Simple Addtive Weighting) Studi Kasus Padang Cell Lubuklinggau” mempunyai tujuan untuk mengimplementasikan metode analytical hierarchy process pada sistem pendukung keputusan sebagai sarana bantu dalam pengambilan keputusan pembelian handphone.Metode pengumpulan data yang digunakan dalam penelitian ini meliputi metode kepustakaan, wawancara, angket kuesioner dan browsing internet. Sedangkan untuk perancangan sistem digunakan desain sistem meliputi penggunaan diagram konteks, data flow diagram dan flowchart.Penelitian ini dilakukan dengan cara merancang model sistem pendukung keputusan sesuai dengan data yang diperoleh. Kemudian data yang diperoleh tersebut diolah untuk menentukan sistem pendukung keputusan yang akan dibuat menggunakan macromedia dreamweaver, php dan mysql sebagai database. Selanjutnya, sistem yang telah dibuat disimulasikan untuk mendapatkan alternatif pilihan pengambilan keputusan sesuai dengan data yang diperoleh.Penelitian ini menghasilkan informasi berupa ranking atau urutan prioritas alternatif pilihan handphone, hasil dari perbandingan nilai kepentingan antara alternatif satu dengan lainnya menggunakan Sistem Simple Addtive Weighting. Hasil simulasi yang telah dilakukan didapat urutan prioritas alternatif dengan perolehan nilai prioritas yang didapatkan dari hasil penilaian. Kata kunci: Sistem Pendukung Keputusan, Metode SAW, Web   ABSTRACT Research with the title "Decision Support System For Mobile Purchase Method Using SAW (Simple Addtive Weighting) Case Studies Padang Cell Lubuklinggau" whose purpose is to implement the method of analytical hierarchy process in decision support systems as aids in making purchasing decisions handphone.Metode data collection used in this study include methods of literature, interviews, questionnaires and internet browsing. As for the system design used the system design include the use context diagrams, data flow diagrams and flowchart.Research This is done by designing a model of decision support system in accordance with the data obtained. Then the data obtained is processed to determine a decision support system that will be created using Macromedia Dreamweaver, PHP and MySQL as a database. Furthermore, the system has been created to get the simulated alternative decision making in accordance with the data of this obtained. Research produce information in the form of ranking or order of priority alternative mobile phone, the result of a comparison of the value of interests between the alternatives with each other using the Simple Addtive Weighting System. The simulation results obtained have been done with the acquisition of alternative priority order priority values ​​obtained from the results of the assessment.  Keyword: Decision Support System, SAW Method, Web

scholarly journals Pemilihan Tema Tugas Akhir Prodi Sistem Informasi Menggunakan Kolaborasi Metode Analytic Hierarchy Process (AHP), Simple Additive Weighting (SAW), dan SMART

2020 ◽  
Vol 5 (2) ◽  
pp. 185
Author(s):  
Aditya Pratama ◽  
Septi Andryana ◽  
Ira Diana Sholihati
Keyword(s):  
Information System ◽  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Graduation Requirements ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Final Project ◽  
National University ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Completing the final project is a graduation requirements for a student to do. Many students take final project but don't have a theme for that. There are also students who take the theme of their final project but they are not in line with grades and abilities. On this issue, a research will be assist the National University Information System students in choosing theme of their final project which is processed using collaborative method of Analytical Hierarchy Process, Simple Additive Weighting, and Simple Multi-Attribute Rating Technique. This research begins by determining the criterion value of each student which calculated using SAW method for weight grades and SMART method for weight of ability, then looking for alternative values for each theme of the final project using the AHP method, the ranking process is carried out the multiplication matrix between the criteria and alternative which will produce optimal final project theme.Keywords:Analytical Hierarchy Process; Final Project; Simple Additive Weighting; Simple Multi-Attribute Rating Technique.

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