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All Journal JIK Jurnal Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Intelligent Computing and Health Informatics (JICHI) International Journal for Applied Information Management JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Jurnal Sistem Informasi, Akuntansi dan Manajemen Journal of Current Research in Blockchain
Tarigan, Masmur
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Medicine & Pharmacology Public Health Social Sciences

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RANCANG BANGUN APLIKASI MONITORING MESIN PRODUKSI ALUMINIUM EXTRUSI BERBASIS WEB TERINTEGRASI INTERNET OF THINGS Tarigan, Masmur; Huda, Saeful
JIK: Jurnal Ilmu Komputer Vol 4, No 01 (2019): JIK : JURNAL ILMU KOMPUTER
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/komp.v4i1.2837

Abstract

AbstractInternet of things is a promising concept, because it can connect one device to another via the internet to facilitate human work. One application is used to monitor and control hardware in factory industries such as the aluminum extrusion industry which requires a system to monitor all production equipment. Web-based application that can monitor the operation of production machines with the help of sensors as an internet of things concept where this application can monitor production machines remotely by using a NodeMCU microcontroller that can be accessed through web-based applications connected to the web server. This will be seen from the test results of sending data from the monitoring system sent 100% with a 5 minute delay in the censor according to the information needs of monitoring the production machine where the sensor data is sent through the ESP8266 module. This application function is a system that can provide information on the status of aluminum production machines extrusion. Keywords: Web application, internet of things, monitoring production machine AbstrakInternet of things merupakan sebuah konsep yang menjanjikan, sebab dapat menghubungkan satu perangkat dengan perangkat lainya melalui internet untuk mempermudah pekerjaan manusia. Salah satu penerapanya digunakan untuk memantau dan mengendalikan perangkat keras pada industry pabrik seperti industri aluminium extrusi yang membutuhkan sistem untuk memantau semua peralatan produksi. Aplikasi berbasis web yang dapat memantau operasional mesin produksi dengan bantuan sensor sebagai konsep internet of things dimana aplikasi ini dapat melakukan monitoring mesin produksi secara remote dengan menggunakan mikrokontroler NodeMCU yang dapat di akses melalui aplikasi berbasis web yang terhubung dengan webserver. Hal ini akan dilihat dari hasil pengujian pengiriman data dari sistem monitoring yang terkirim 100% dengan delay 5 menit persensor sesuai dengan kebutuhan informasi monitoring mesin produksi dimana pengiriman data sensor melalui modul ESP8266. Fungsi apikasi ini adalah sebagai sistem yang dapat memberikan informasi keadaan status mesin produksi alumunium extrusi. Kata kunci: Aplikasi web, internet of things, pemantauan mesin produksi.
Utilizing Website-Based Speech-to-Text for Query Search Ramadhan, Rizki; Tarigan, Masmur; Anwar, Nizirwan; Juman, Kundang Karsono; Abduh, Mukhamad
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11960

Abstract

Companies are increasingly using database-based data processing systems to store all information about their goods and products, so searching for queries on the system is one of the routine activities carried out by employees daily. The user must enter the keywords from the desired query in the search feature available on the system using the keyboard to perform the search process. It can only be accessed via a computer connected to the internet. Office However, sometimes there are several factors that make it difficult for employees to type in keywords, such as driving or having physical limitations, especially in the hands. This study aims to present an alternative to entering keywords not only through the keyboard but also by using voice by creating a query search system with the Speech-to-Text method so that users simply say the keywords from the desired data, and the system will be built based on a website so that they can be accessed from other devices such as smartphones, tablets, laptops or other devices. The method used in making this system is the System Development Life Cycle (SDCL) Prototype model and the system design modeling using the Unified Modeling Language (UML). This system will also be hosted on the Heroku platform, and in order to guarantee optimal operation of the system, a black box testing method is used, and the word accuracy test resulting from the Speech-to-Text conversion as well as the processing time required from the start of the system running to displaying the search results. It is hoped that with this system, employees will find it easier to enter keywords from the data they want through various devices quickly and with precise results.
Building Attendance Application with Location Based Service Technology and Waterfall Method to Overcome Long Attendance Queues and Reduce the Risk of Exposure to Covid-19 Fajrianto, Rendi; Tarigan, Masmur
Journal of Intelligent Computing & Health Informatics Vol 2, No 2 (2021): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v2i2.8474

Abstract

Employee attendance using finger print attendance device, is not efficient enough for PT. Modern Gravure Indonesia, because it will result in long queues. In addition, attendance using a finger print attendance device can increase the risk of contracting COVID-19 disease, because there is physical contact. So a mobile-based application is needed in order to anticipate long attendance queues and avoid the risk of being exposed to COVID-19. This application provides an attendance feature with location validation using LBS technology. If the employee is already in the office area or less than 500 meters from the office coordinates, then he or she can take attendance, so the employee cannot commit fraud. This application can also display monthly reports that are used for integration with the PT. Modern Gravure Indonesia. The method used to build this application is Waterfall and UML diagram modeling. This application will be built using the Flutter framework. And for the server side it will be built using the Laravel framework. With this application, it is expected to be able to overcome long attendance queues and reduce the risk of being exposed to Covid-19 at PT. Modern Gravure Indonesia.
K-Means Clustering for Segmenting AI Survey Respondents: Analysis of Information Sources and Impact Perceptions Evelyn; Suryodiningrat, Satrio Pradono; Tarigan, Masmur
International Journal for Applied Information Management Vol. 5 No. 1 (2025): Regular Issue: April 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i1.98

Abstract

This study employs K-Means clustering to analyze survey data from 91 university students, aiming to segment respondents based on their information-seeking behaviors (Question 2) and impact perceptions (Question 3) of artificial intelligence (AI). Two distinct clusters emerged: “Optimistic Problem Solvers,” who favor formal channels such as scholarly websites, peer-reviewed papers, and guided discussions, and express strong confidence in AI’s problem-solving capabilities with low concern for job displacement or dehumanization; and “Critical Watchers,” who rely more on informal, rapidly updated media (e.g., social platforms, general web searches) and exhibit heightened apprehension regarding AI’s socio-economic and ethical risks. Demographically, the former group skews toward sophomores with consistent GPAs and quantitatively oriented majors, while the latter displays broader disciplinary representation, balanced gender composition, and greater academic variability. These findings validate a dual-dimensional segmentation framework that integrates source behavior with perceptual orientation, highlighting the inadequacy of one-size-fits-all AI education. The study recommends differentiated instructional strategies, deep-dive, research-oriented modules for problem-solvers and trust-building, narrative-driven outreach for watchers, and outlines future research directions including larger, multi-institutional samples, longitudinal tracking, and mixed-methods approaches to refine and validate these profiles.
IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK KLASIFIKASI PENYAKIT DAUN MANGGA MENGGUNAKAN ARSITEKTUR EFFICIENTNETV2-S DAN RESNET50 Futri Ramadhani, Kareena; Tarigan, Masmur
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13571

Abstract

Mangga merupakan buah musiman yang sudah dikenal masyarakat Indonesia. Buah ini asli berasal dari India dan memiliki varietas yang banyak dan digemari oleh Masyarakat Indonesia. Pohon mangga dapat tumbuh dengan baik pada tanah datar dan iklim hangat. Pertanian sebagai pilar utama dalam pemenuhan kebutuhan pangan global seringkali menghadapi tantangan serius terkait penyakit tanaman. Maka dari itu peneliti akan melakukan penelitian pada sistem pengklasifikasian jenis penyakit daun mangga. Adapun penyakit yang menyerang tanaman buah mangga yang akan diklasifikasikan yaitu Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Powdery Mildew, dan Sooty Mould. Tugas Akhir ini merancang sistem pengklasifikasian penyakit daun mangga menggunakan metode Convolutional Neural Network (CNN) dengan arsitektur yang digunakan adalah EfficientNetV2-S dan ResNet50. Data yang digunakan pada penelitian berjumlah 4000 dataset dengan 500 data citra pada setiap jenis penyakit. Dengan menggunakan pengujian rasio 70:30, 80:20, dan 90:10 dengan melakukan tahapan penelitian yang beruapa melakukan pengumpulan data, augmentasi, data preprocessing, klasifikasi, evaluasi dan implementasi. Dengan kedua arsitektur tersebut menghasilkan akurasi dengan nilai yang baik dan mampu melakukan klasifikasi sehingga dapat diimplementasikan dengan aplikasi website.
IMPLEMENTASI APPSHEET DALAM PEMBUATAN APLIKASI CHECKLIST BERBASIS MOBILE PT MIDI UTAMA INDONESIA TBK Ilham Mukti, Raulian; Tarigan, Masmur
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13577

Abstract

PT Midi Utama Indonesia Tbk, melalui Divisi Property and Development, bertanggung jawab mengelola infrastruktur pendukung bisnis ritel Alfamidi, termasuk dalam proses pembukaan toko baru yang dilakukan oleh tim Mekanikal Elektrikal Alfamidi. Namun, metode checklist yang saat ini menggunakan Google Forms dan spreadsheet menghadapi kendala seperti keterbatasan fleksibilitas, kesalahan input, serta akses terbatas pada perangkat resmi dan domain tertentu, yang menyebabkan inefisiensi dalam aktivitas checklist. Penelitian ini bertujuan untuk meningkatkan efisiensi dan efektivitas dalam pengisian serta monitoring checklist pembukaan toko baru. Solusi yang diusulkan adalah pengembangan aplikasi checklist berbasis mobile menggunakan metode waterfall dengan teknologi AppSheet dan Google Apps Script. Pengujian dilakukan dengan blackbox testing, sementara evaluasi kepuasan pengguna menggunakan metode end-user computing satisfaction (EUCS). Hasil dari penelitian ini adalah aplikasi checklist berbasis mobile yang dikembangkan mampu mengoptimalkan proses checklist, mengurangi kesalahan input, serta mendukung kelancaran operasional dalam aktivitas checklist pembukaan toko baru.
Penerapan Internet of Things pada Sistem Monitoring Suhu dan Kelembaban Ruang Server Menggunakan Node MCU ESP 8266 Kristiawan, Agus; Tarigan, Masmur
Jurnal Teknik Informatika dan Komputer Vol. 4 No. 2 (2025): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v4i2.20496

Abstract

A server is a room used to store computer equipment. Currently, at PT SIK, the server room only uses a thermo controller to display the actual temperature inside the server room, and it is only installed within the room, making it impossible to monitor directly. Another issue is that the Air Conditioner in the server room turns off suddenly, causing the temperature to rise. Additionally, the server room administrator works 24/7 and cannot anticipate any possible failures in the server room's Air Conditioner. The researcher will attempt to collect, record, and process data on the server room temperature using a DHT22 temperature and humidity sensor connected to a NodeMCU ESP8266 microcontroller, which is connected to the internet and can send real-time notifications to the server room administrator. On the smartphone side, the Blynk application is used to view temperature and humidity graphs and to receive notifications when there is an abnormal condition in the server room.
Pengukuran Dan Pendataan Zat Cair Toluene Dengan Akses Rfid Berbasis Nodemcu Esp8266 Yang Termonitor Melalui Web Susanto, Yudi; Tarigan, Masmur; Yulhendri, Yulhendri
Jurnal Sistem Informasi, Akuntansi dan Manajemen Vol. 2 No. 3 (2022): Sintama: Jurnal Sistem Informasi, Akuntansi dan Manajemen (September 2022)
Publisher : Asosiasi Dosen Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54951/sintama.v2i3.392

Abstract

IoT (Internet of Things) merupakan suatu konsep atau program dimana objek mempunyai kemampuan untuk mentransmisikan ataupun mengirimkan informasi melalui jaringan tanpa menggunakan perangkat komputer serta manusia. IoT(Internet of Things) bisa dimanfaatkan pada industri khususnya industri 4.0 selaku perlengkapan untuk mempermudah pekerjaan menjadi lebih efektif dan efisien. Permasalahan yang biasanya terjadi dalam dunia industri adalah data masih diinput secara manual dan memakan waktu yang cukup lama. Oleh karena itu, dalam penelitian ini akan dibuat sebuah prototype untuk mengukur serta mendata suatu zat cair yang bernama toluene secara otomatis dengan akses RFID yang tersambung ke database server lewat koneksi wireless(WiFi) dan dapat termonitor melalui web. pengukuran serta Pendaataan Zat Cair Toluene berbasis(IoT) Internet of Things ini memakai modul NodeMCU ESP8266sebagai pusat pengendali semua komponen.Sistem ini terdiri dari pengendali jalannya aliran zat cair, pembaca RFID, serta pengukur jumlah aliran zat cair. Ada 2 sensor yang digunakan ialah sensor rfid Rc522 untuk membaca kartu RFID serta sensor water flow untuk membaca jumlah aliran zat cair. Tidak hanya itu dalam rancangan sistem ini pula menggunakan relay yang digunakan sebagai penghubung selenoid valve serta power supply 12v sebagai tenaga tambahan untuk mengerakkan selenoid valve. Dalam merancang dan membuat prototype ini metode analisis yang digunakan adalah desktiptif kualitatif dimana pemecahan masalah dicari dengan menggambarkan keadaan subjek atau objek berdasarkan fakta-fakta yang terlihat atau apa adanya. Sedangkan, Pengujian akan menggunakan black box testing dimana akan diuji fungsional dari prototype dan sistemnya. Dari hasil pengujian serta analisa, Pengukuran serta Pendaataan Zat Cair Toluene ini beroperasi sebagaimana perintah yang diberikan. Sepanjang sistem tersambung dengan jaringan wireless(WiFi) secara normal dan berkepanjangan, tidak akan ada masalah pada sistem Pengukuran serta Pendaataan Zat Cair Toluene berbasis IoT( Internet of Things).
Analysis of Gas Fee Patterns in Blockchain Transactions - A Case Study on Ethereum Smart Contracts Paramitha, Adi Suryaputra; Tarigan, Masmur
Journal of Current Research in Blockchain Vol. 2 No. 3 (2025): Regular Issue September 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jcrb.v2i3.41

Abstract

Gas fees play a crucial role in Ethereum blockchain transactions, directly affecting the cost and efficiency of decentralized applications. This study analyzes gas fee patterns across transaction types, temporal trends, and anomalous behaviors using a dataset of 1,000 Ethereum transactions. The results reveal that the average gas price was 120.5 Gwei, with a standard deviation of 45.2 Gwei, highlighting significant variability. Smart contract functions exhibited varying gas usage, with mint operations consuming the highest average gas (1,500,000 units) compared to approve (1,200,000 units) and transfer (800,000 units). A positive correlation (r = 0.65) was observed between gas price and value transferred, suggesting that higher-value transactions often incur elevated gas fees. Temporal analysis showed predictable patterns, with peak gas prices occurring between 13:00 - 17:00 UTC during high network activity and lower prices between 02:00 - 06:00 UTC. Additionally, anomaly detection identified 15 outlier transactions, including one with an unusually high gas price of 500 Gwei, reflecting network congestion or prioritization strategies. These findings provide actionable insights for optimizing transaction costs and improving smart contract efficiency. Future research could explore layer-2 scaling solutions, alternative fee mechanisms, and machine learning approaches for gas price prediction. This study contributes to a deeper understanding of Ethereum’s gas fee dynamics, offering valuable guidance for developers, users, and researchers in the blockchain ecosystem.
Co-Authors Adhy, Dewanto Rosian BUDI TJAHJONO Evelyn Fajrianto, Rendi Futri Ramadhani, Kareena Huda, Saeful Ilham Mukti, Raulian Kristiawan, Agus Kundang Karsono Juman Mukhamad Abduh Nizirwan Anwar Nur Widiyasono, Nur Paramitha, Adi Suryaputra Rizki Ramadhan Rudi Hermawan Suryodiningrat, Satrio Pradono Susanto, Yudi Yulhendri Yulhendri