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THE APPLICATION OF FUZZY-ANALYTICAL HIERARCHY PROCESS METHOD FOR MAJORS SELECTION AT PUBLIC UNIVERSITIES Aditya, Addin; Purwiantono, Febry Eka
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

The purpose of this research is to build a decision support model for prospective students in choosing undergraduate programs at state universities after they accomplished their high school. There are more than 800 undergraduate programs from science and technology departments from 40 state universities in Indonesia. In this research, we use the Fuzzy Analytical Hierarchy Process (F-AHP) to model a decision. This method is chosen because able to make comparisons between criteria more complex than other DSS (Decision Support System) methods. For the criteria used in this research is computer-based test result, student capacity in 2019 and the people who interest in those majors in 2018. The main result of this research is a ranking of science and technology departments at 40 state universities in Indonesia. The results of this research are expected to be able to assist students in choosing majors that will be taken after graduation in their school. In addition, the method of this research can also be continued in subsequent researches that are similar (theoretically). Whereas practically, this method can be implemented every year using different data.

Automation of Aquaponic Choy Sum and Nile Tilapia Using Arduino Microcontroller Arif Widi Atmaja; Daniel Rudiaman Sijabat; Febry Eka Purwiantono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4395

This study aims to build an aquaponics automation tool to simplify the control of fish and vegetable cultivation. The objects that were taken in this study were nile tilapia and choy sum. In this study, testing was carried out in an aquarium and hydroponic pipe to control nutrition, water turbidity, light, pH, feed, and temperature. The main tools used to build this automation include Arduino ESP-32, GY-302 Ambient Light Intensity Sensor, DFRobot Gravity Analog pH Sensor, DS18B20 temperature sensor, 3-6V DC R140 DC motor, Relay Module6 Chanel 12V, RTC Module. DS130 and SR04 Ultrasonic Sensor. After the system testing process, it can be concluded that this tool can support the process of cultivating nile tilapia and choy sum properly and make it easier for farmers to monitor aquaponics.

The Application of Fuzzy-Analytical Hierarchy Process Method for Majors Selection at Public Universities Addin Aditya; Febry Eka Purwiantono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i2.3245

The purpose of this research is to build a decision support model for prospective students in choosing undergraduate programs at state universities after they accomplished their high school. There are more than 800 undergraduate programs from science and technology departments from 40 state universities in Indonesia. In this research, we use the Fuzzy Analytical Hierarchy Process (F-AHP) to model a decision. This method is chosen because able to make comparisons between criteria more complex than other DSS (Decision Support System) methods. For the criteria used in this research is computer-based test result, student capacity in 2019 and the people who interest in those majors in 2018. The main result of this research is a ranking of science and technology departments at 40 state universities in Indonesia. The results of this research are expected to be able to assist students in choosing majors that will be taken after graduation in their school. In addition, the method of this research can also be continued in subsequent researches that are similar (theoretically). Whereas practically, this method can be implemented every year using different data.

Development of Decision Support Applications for Granting Mortgages using the Fuzzy-Weighted Product method Nadiva Ramandani; Addin Aditya; Febry Eka Purwiantono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 6 No. 2 (2023): Issues January 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i2.8474

Kredit Pemilikan Rumah adalah salah satu fasilitas yang diberikan bank atau Lembaga keuangan lainnya. Kredit pemilikan rumah ini biasanya diperuntukkan bagi masyarakat yang kesulitan dalam membeli rumah. Maka dari itu adanya fasilitas ini diharapkan dapat membantu masyarakat dalam membeli rumah secara kredit. Permasalahan yang terjadi adalah seleksi yang dilakukan oleh analis kredit masih dilakukan secara subyektif sehingga terkadang analis kredit masih kesulitan dalam menentukan layak atau tidaknya nasabah tersebut menerima kredit. Tujuan dari penelitian ini adalah membangun sebuah system informasi pendukung keputusan dengan metode Fuzzy-WP guna membantu analis kredit dalam memutuskan pemberian kredit kepemilikan rumah. Hasil implementasi algoritma menunjukkan bahwa Fuzzy-WP yang diterapkan pada sistem telah sesuai dengan perhitungan aslinya serta program aplikasi dapat menampilkan hasil rekomendasi sesuai dengan kriteria yang telah ditetapkan untuk pemberian kredit bagi calon debitur. Home Ownership Credit (KPR) is one of the facilities provided by banks or other financial institutions. These home ownership loans are usually reserved for people who have difficulty buying a home. Therefore, the existence of this facility is expected to assist people in buying houses on credit. The problem that occurs is that the selection made by credit analysts is still carried out subjectively so that sometimes credit analysts still have difficulty determining whether a customer is eligible to receive credit or not. The purpose of this study is to build a decision support information system using the Fuzzy-WP method to assist credit analysts in deciding whether to grant housing loans. The results of the implementation of the algorithm show that the Fuzzy-WP applied to the system is in accordance with the initial calculations and the application program can display recommendation results according to predetermined criteria for granting credit to prospective borrowers.

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