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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Sains dan Teknologi Jurnal Sistem Informasi dan Informatika Jurnal Penelitian Multidisiplin Bangsa
Syahrin, Elvin
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences

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Analisis Pengelompokan Data Pelelangan Barang Dengan Metode K-Means Clustering Fahlevi, Muhammad Reza; Putri, Dini Ridha Dwiki; Syahrin, Elvin
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 1 (2023): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i1.541

Abstract

Auction data is very important data for companies that are particularly engaged in credit distribution services. In this company, there is also an auction activity in which goods that have been pawned but have expired credit payments, the goods will be auctioned in general by the company. A large amount of existing customer auction data causes employees to experience several problems in managing large amounts of data and it is difficult to obtain accurate information in grouping auction data according to the amount of money borrowed. This application can help employees to obtain information in the method of grouping auction data by applying K-Means Clustering and can be better selected based on predetermined criteria. Testing the application for grouping the K-Means Clustering method using RapidMiner gave results based on 17 customer data types of  Small loans, 5 Medium loan types, and 2 customer data on Large loan types.
Penerapan Clustering Dengan Fuzzy C-Means Dalam Mendiagnosa Radang Asam Urat Syahrin, Elvin; Juliawan, Dicky
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.255

Abstract

Inflammation of uric acid is a disease that occurs due to excess uric acid in the blood, which then accumulates and accumulates in the form of crystals in the joints. The high-accuracy uric acid inflammation test must be done several times to treat the inflammation of uric acid in the body. Several indicators in the body can be a starting point for treating gout inflammation. Also, errors, the limitations of medical staff in handling huge amounts of data manually are a problem. One solution for this is to use a computer as a mathematical calculation in the Fuzzy C-Means grouping method. The criteria specified are joint pain, swollen joints, stiff joints, sprained feet and lumps in the joints. The grouping consisted of groups with gout inflammation and non-gout inflammation. Testing was carried out on 14 data.
Perancangan Robot Maze Solving Berbasis Arduino Doni, Rahmad; Fahlevi, Muhammad Reza; Syahrin, Elvin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.242

Abstract

The maze solving robot is the development of the line follower robot. Where the robot can trace a path that has an intersection, in tracing a maze, apart from finding a way out / finish, it will be more efficient if the robot can find a shorter path through the maze. From the maze samples made, the robot can explore a maze and find the shortest path. When the mapping process is carried out, the robot traces 12 path codes; after the path simplification process is carried out, the robot can shorten the path it takes to 6.
Penerapan Clustering Dengan Fuzzy C-Means Dalam Mendiagnosa Radang Asam Urat Syahrin, Elvin; Juliawan, Dicky
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.255

Abstract

Inflammation of uric acid is a disease that occurs due to excess uric acid in the blood, which then accumulates and accumulates in the form of crystals in the joints. The high-accuracy uric acid inflammation test must be done several times to treat the inflammation of uric acid in the body. Several indicators in the body can be a starting point for treating gout inflammation. Also, errors, the limitations of medical staff in handling huge amounts of data manually are a problem. One solution for this is to use a computer as a mathematical calculation in the Fuzzy C-Means grouping method. The criteria specified are joint pain, swollen joints, stiff joints, sprained feet and lumps in the joints. The grouping consisted of groups with gout inflammation and non-gout inflammation. Testing was carried out on 14 data.
Perancangan Robot Maze Solving Berbasis Arduino Doni, Rahmad; Fahlevi, Muhammad Reza; Syahrin, Elvin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.242

Abstract

The maze solving robot is the development of the line follower robot. Where the robot can trace a path that has an intersection, in tracing a maze, apart from finding a way out / finish, it will be more efficient if the robot can find a shorter path through the maze. From the maze samples made, the robot can explore a maze and find the shortest path. When the mapping process is carried out, the robot traces 12 path codes; after the path simplification process is carried out, the robot can shorten the path it takes to 6.
Rancang Bangun Alarm Pencegah Kebakaran Otomatis pada Rumah Menggunakan Sensor Api dan Asap Syahrin, Elvin; Doni, Rahmad
Jurnal Sistem Informasi Dan Informatika Vol 2 No 2 (2024): Juli 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jiska.v1i2.982

Abstract

Fire is a disaster, generally caused more by negligence than the human itself with an impact on loss of property and property, even possibly causing casualties. A lot of data shows the incidence of fires that befell residential buildings. For this reason, a tool is designed that functions as a fire prevention tool by means of Arduino reading the MQ-2 gas sensor and fire sensor, if one of the sensors reads that there is a fire, the alarm will automatically sound and the water tap will open to minimize fires and extinguish fires as the first form of fire prevention.
Sistem Pendukung Keputusan Pemilihan Destinasi Wisata Terbaik di Kabupaten Humbang Hasundutan Menggunakan Metode TOPSIS Rahman, Maulia; Syahrin, Elvin; Leman, Dedi
Jurnal Penelitian Multidisiplin Bangsa Vol. 2 No. 2 (2025): Juli
Publisher : Amirul Bangun Bangsa Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpnmb.v2i1.474

Abstract

Penelitian ini bertujuan untuk merancang dan membangun Sistem Pendukung Keputusan untuk pemilihan destinasi wisata terbaik di Kabupaten Humbang Hasundutan menggunakan metode TOPSIS, dengan tujuan memberikan rekomendasi yang objektif, terukur, dan relevan bagi wisatawan maupun pihak pengelola pariwisata setempat. Sistem yang dibangun menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), yang mampu memberikan bobot pada setiap kriteria penilaian meliputi identifikasi destinasi wisata sebagai alternatif, penentuan kriteria seperti Keindahan, Jumlah Pengunjung, Kebersihan, Keamanan, Harga Tiket, dan Jarak Tempuh, serta bobot kepentingannya, pengolahan data dengan metode TOPSIS (menentukan kriteria, normalisasi, hingga perangkingan alternatif), implementasi sistem berbasis komputer (berbasis web) yang mengimplementasikan algoritma TOPSIS, serta analisis hasil dan pembahasan. TOPSIS dipilih karena memberikan hasil perankingan yang objektif yang didukung oleh data terukur, sistem ini menunjukkan penentuan hasil yang lebih cepat dan akurat setelah diimplementasikan dalam menentukan pemilihan destinasi tempat wisata di Kabupaten Humbang Hasundutan Menggunakan. Selain itu hasil penelitian menunjukkan bahwa pengembangan Sistem ini yang berbasis web berhasil membantu dan meningkatkan efisiensi Pemilihan Destinasi Wisata Terbaik di Kabupaten Humbang Hasundutan. Sistem ini menggunakan metode TOPSIS yang memproses data sesuai kriteria yang telah ditetapkan yang disebutkan sebelumnya. Dari perhitungan, alternatif A03 yaitu Sipinsur, memiliki nilai preferensi tertinggi (0.746), menjadikannya destinasi wisata terbaik pilihan.
Rancang Bangun Alarm Kebocoran Gas Lpg Dengan Sensor MQ-2 Syahrin, Elvin; Doni, Rahmad; Nasution, Fitri Pranita; Farhan Sya'bandi Nasution; Muhammad Andy Syahputra
Jurnal Sains dan Teknologi (JSIT) Vol. 2 No. 1 (2022): January-April
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v2i1.86

Abstract

In today's human life, both at home and in industry, it is very necessary to have LPG gas to meet daily needs. We know that gas can also have a bad impact, especially if there is no known leak from the LPG gas cylinder or storage area. The cause of this gas cylinder leak could be a leak in the hose, tube or also the regulator that is not installed properly and the gas cylinders that are distributed are of poor quality or physically damaged. This study aims to produce a tool that is an LPG gas cylinder leak alarm using the MQ-2 sensor. The way this tool works is, the Arduino UNO reads the MQ-2 sensor with analog data output, if it reads that there is gas leaking, the alarm will sound.
Co-Authors Doni, Rahmad Farhan Sya'bandi Nasution Juliawan, Dicky Julius Santony Leman, Dedi Maulia Rahman Muhammad Andy Syahputra MUHAMMAD REZA FAHLEVI Na’am, Jufriadif nasution, fitri pranita Putri, Dini Ridha Dwiki