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All Journal Foristek Tadulako Science and Technology Journal
Muhammad Aristo Indrajaya
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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RANCANG BANGUN PROTOTYPE SISTEM PENDETEKSI PELANGGARAN PADA ZEBRA CROSS DI LAMPU LALU LINTAS BERBASIS ARDUINO Uswatun Hasanah; Mery Subito; Muhammad Aristo Indrajaya
Foristek Vol. 11 No. 1 (2021): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.831 KB) | DOI: 10.54757/fs.v11i1.31

Abstract

Current road users cannot be separated from the number of violators, therefore traffic lights are made to regulate traffic on the road. At traffic lights, there is also a zebra crossing which serves as a means of crossing the road for pedestrians. To minimize violations at road intersections, researchers designed a tool to detect traffic violations. Traffic violation detection tool is made in prototype form using a control system with Arduino nano and software. This traffic light system uses LDR and laser sensors to detect these violations by cutting the laser which sends light to the LDR. This tool is also equipped with a webcam camera that functions to photograph violations that occur and a buzzer that functions as a warning to officers and riders in the event of a violation with an average response speed of the webcam of 2.37 seconds and the average response speed of the buzzer is 0.4 seconds. . The snapshot from the webcam is saved automatically on your PC / Laptop.
PEMODELAN TRANSFORMASI DIRECT QUADRATUR (D-Q) PADA KENDALI KECEPATAN MOTOR INDUKSI 3 FASA DENGAN METODE VECTOR CONTROL Rizana Fauzi; Muhammad Aristo Indrajaya; Dody Chandra Kumara
Foristek Vol. 10 No. 2 (2020): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.803 KB) | DOI: 10.54757/fs.v10i2.40

Abstract

The application of the 3 phase induction motor is increasingly developing, this has led to research on speed regulation of 3 phase induction motors is also growing, because the use in industry and especially in hybrid vehicles is increasingly being developed. However, there are several disadvantages of an induction motor, one of which is the non-linear parameter characteristics, especially the rotor resistance, which varies in value for different operating conditions, so that it cannot maintain its speed constantly when a load changes. Therefore, to get constant speed and better system performance against load changes, a controller is needed. This study aims to implement the vector control method in the 3 phase induction motor speed control application in following the reference speed. In vector modeling, the 3 phase parameters (ia, ib and ic) will be transformed into direct quadrature (dq) parameters where in this parameter the setting of the field size and torque can be adjusted separately. In the implementation results, it can be seen that the use of vector control can be used as an approach in regulating the speed of an induction motor.
PERANCANGAN SISTEM ANTRIAN ANTI COVID 19 BERBASIS INTERNET of THINGS MENGGUNAKAN RASPBERRY Pi W ZERO Agum Laksmana; Ardi Amir; Tan Suryani Sollu; Muhammad Aristo Indrajaya
Foristek Vol. 13 No. 2 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v13i2.148

Abstract

Utilization of electronic technology in various aspects of human life, both in household needs, education, industry, and human habitation itself. In this discussion is how to design a queuing system based on the Internet of Things using a Raspberry Pi W Zero controller. Internet of Things is a concept in which an object or object is implanted with technologies such as sensors and software with the aim of communicating, controlling, connecting, and exchanging data through other devices while still connected to the internet. In designing this queuing system, a website is needed to support this tool to make it easier for users to register online without having to manually take queue numbers. The programming language used for the Raspberry Pi W Zero controller uses python. Testing this queuing system 100% went well and according to what was designed for the design of an Internet of Things based anti covid 19 queuing system using the Raspberry Pi W Zero. With this tool, it can make it easier for users to register queue numbers and be able to run the appropriate Health protocol system.
IMPLEMENTASI ALGORITMA FORWARD CHAINRING DAN CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA EFEK SAMPING BAHAN PEMUTIH KOSMETIK PADA KULIT Rizka Ardiansyah; Muhammad Aristo Indrajaya; Yuri Yudhaswana Joefrie; Inten Sakti Pratiwi
Foristek Vol. 14 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.253

Abstract

Most people, especially women, are generally not educated about what ingredients are contained in a cosmetic and only rely on social media as a reference by looking at influencers who advertise a beauty product. To consult with a dermatologist also requires a lot of money, so they choose not to care about it, this causes many cases handled by dermatologists are cases that are too severe. Therefore, there is a need for awareness and education for women, especially teenagers regarding the use of illegal cosmetics, so through this research, the authors try to propose a free, expert-based platform that can be accessed in general by people from anywhere and anytime to carry out self- assessments or self-examinations. or education that makes it easier for the public to get easy and detailed information access regarding the hazardous ingredients contained in cosmetics. So in this study, we propose an educational media and expert-based assessment of the symptoms of the disease suffered in the form of developing an expert system based on the forward chaining algorithm and certainty factor, which involves a dermatologist. based on the results of testing the accuracy of 20 data samples, 18 data were appropriate and 2 data were not appropriate so that the accuracy obtained was 90%, and from user satisfaction testing it was found that 80% were satisfied with the system created and 20% were not satisfied.
DECISION SUPPORT SYSTEM FOR HOME SURGERY ASSISTANCE RECIPIENT USING TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARY TO IDEAL SOLUTIONS (TOPSIS) METHOD (CASE STUDY : KOTAPULU VILLAGE, DOLO DISTRICT) Syaiful Hendra; Hajra Rasmita Ngemba; Kadek Agus Dwijaya; Herdianto Ladania; Muhammad Aristo Indrajaya
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.16007

Abstract

This study aims to create a decision support system for home renovation aid recipients that can speed up and simplify the decision-making process in providing home surgery assistance so that home surgery assistance is more objective in accordance with community priorities or on target using the TOPSIS method. The TOPSIS method uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest (farthest) distance from the negative ideal solution from a geometric point of view by using the Euclidean distance (distance between two points) to determine the relative proximity of an alternative to the optimal solution. . The criteria used in the system are land ownership, roof conditions, wall conditions and floor conditions. The data used by the author is 210 original data from the Kotapulu village office. so that the system created by the author can make it easier for the Kotapulu village office to determine the recipient of the house renovation assistance only by inputting population data based on the survey results.
Comparative Analysis of C4.5 And Naïve Bayes Algorithms for Classification of Food Vulnerable Areas Hajra Rasmita Ngemba; Syaiful Hendra; Kadek Agus Dwijaya; Herdianto Ladania; Muhammad Aristo Indrajaya
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.16012

Abstract

Data mining merupakan proses menemukan informasi atau pola yang penting dalam basis data berukuran besar dan merupakan kegiatan untuk menemukan informasi atau pengetahuan yang berguna secara otomatis dari data yang jumlahnya besar. Pada data mining, data yang berukuran besar diolah dengan menggunakan teknik-teknik tertentu untuk mendapatkan informasi baru mengenai data tersebut. Salah satu teknik yang biasa digunakan dalam data mining adalah klasifikasi. Klasifikasi merupakan proses pembelajaran sebuah fungsi atau model terhadap sekumpulan data latih, sehingga model tersebut dapat digunakan untuk memprediksi klasifikasi dari data uji. Beberapa metodenya antara lain algoritma C4.5 dan naïve bayes. Rawan pangan adalah kondisi tidak tersedianya pangan yang cukup bagi setiap individu atau persorangan untuk dapat hidup yang berkualitas secara bekelanjutan. Pada penelitian ini bertujuan untuk membandingkan algortima C4.5 dan naïve bayes dalam hal keakuratan untuk mengklasifikasikan dareah rawan pangan. Data yang digunakan pada penelitian ini merupakan data rawan pangan pada provinsi Sulawesi Tengah dengan total 517 data yang terdiri dari data tahun 2018 sampai 2020. Hasil pada penelitian ini menunjukan bahwa klasifikasi algoritma C4.5 tingkat keakuratanya lebih baik sebesar 84% dibandingkan dengan naïve bayes sebesar 68%.
Co-Authors Agum Laksmana Ardi Amir Dody Candra Kumara, Dody Candra Hajra Rasmita Ngemba Herdianto Ladania Inten Sakti Pratiwi Kadek Agus Dwijaya Mery Subito Rizana Fauzi, Rizana Rizka Ardiansyah RR. Ella Evrita Hestiandari Syaiful Hendra Tan Suryani Sollu Yuri Yudhaswana Joefrie