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All Journal JIK Jurnal Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Intelligent Computing and Health Informatics (JICHI) International Journal for Applied Information Management
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.
Peringatan Otomatis Pada Internet of Things Sistem Deteksi Smart Motion Anwar, Nizirwan; Tjahjono, Budi; Tarigan, Masmur; Adhy Rosian, Dewanto; Widiyasono, Nur; Hermawan, Rudi
Generation Journal Vol 5 No 1 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i1.15372

Abstract

The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.
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.
Co-Authors Adhy, Dewanto Rosian BUDI TJAHJONO Evelyn Fajrianto, Rendi Futri Ramadhani, Kareena Huda, Saeful Ilham Mukti, Raulian Kundang Karsono Juman Mukhamad Abduh Nizirwan Anwar Nur Widiyasono, Nur Rizki Ramadhan Rudi Hermawan Suryodiningrat, Satrio Pradono