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All Journal JIK Jurnal Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputasi JUTEKIN (Jurnal Manajemen Informatika) Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Applied Engineering and Technological Science (JAETS) Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Teknik Informatika (JUTIF) International Journal for Applied Information Management Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Jurnal Sistem Informasi, Akuntansi dan Manajemen Journal of Current Research in Blockchain
Tarigan, Masmur
Universitas Esa Unggul Jakarta Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Social Sciences

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Sistem Pakar Diagnosa Penyakit Dan Hama Tanaman Monstera Obliquae Metode Fuzzy Tsukamoto Berbasis Android Nanda Pratama; Masmur Tarigan
Jurnal Teknologi Informasi dan Terapan Vol 9 No 2 (2022)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v9i2.287

Abstract

Monstera obliqua merupakan tanaman hias banyak yang mengoleksi tanaman tersebut, dikarenakan tanaman hias ini menarik dan unik, menarik untuk di budidayakan maupun menjadi koleksi. Dikarenakan tanaman ini sangat rentan dengan penyakit dan hama yang sangat mengganggu kecantikan dari tanaman hias monstera obliqua. Pendiagnosaan terhadap penyakit dan hama monstera obliqua harus dilakukan dengan cepat dan seakurat mungkin, dikarenakan penyakit dan hama tersebut cepat menyebar. Tujuan penelitian ini, adalah merancang dan membuat sistem pakar untuk mendeteksi secara dini penyakit dan hama pada monstera obliqua menggunakan metode fuzzy. Metode pengumpulan data yang digunakan penulis adalah meliputi studi lapangan dan studi kepustakaan. Studi lapangan meliputi observasi, interview / wawancara. Sedangkan studi kepustakaan dilakukan dengan penelitian kepustakaan relevan dengan masalah tersebut. Berdasarkan akurasi sistem yang dilakukan dengan memasukan 10 kasus yang sesuai dengan perhitungan adalah 7 kasus dan yang tidak adalah 3 kasus, sehingga dapat dikatakan tingkat akurasi pada sistem adalah 80%. Kata Kunci— Sistem pakar; Fuzzy tsukamoto; Android; Monstera oblique.
Peringatan Otomatis Pada Internet of Things Sistem Deteksi Smart Motion Widiyasono, Nur; Anwar, Nizirwan; Tjahjono, Budi; Tarigan, Masmur; Adhy Rosian, Dewanto; 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.
Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors Masmur Tarigan; Ford Lumban Gaol; Alexander AS Gunawan; Widodo Budiharto
Journal of Applied Engineering and Technological Science (JAETS) Vol. 6 No. 2 (2025): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v6i2.5784

Abstract

This research introduces the Genetic Adaptive Scheduling System (GASS), a novel framework designed to optimize scheduling in Flexible Job Shop Scheduling Problems (FJSP). Due to its complexity, FJSP presents significant challenges stemming from machine flexibility, dynamic routing, and operation precedence constraints. GASS addresses these challenges by incorporating real-time, dynamic data, enabling the system to adapt to machine downtimes, fluctuating job priorities, and process variability. Leveraging advanced genetic algorithm techniques, GASS integrates enhanced mutation and selection processes that dynamically adjust setup times, prioritize urgent tasks, and balance machine workloads to minimize makespan effectively. Empirical results demonstrate that GASS achieves up to a 45.3% reduction in makespan within the flexible packaging industry, showcasing its ability to enhance scheduling efficiency and adaptability. The research highlights the system’s scalability and potential applicability across diverse industries, including printing, electronics, pharmaceuticals, and food manufacturing, where operational flexibility and efficiency are critical. By bridging existing gaps and integrating real-time constraints into scheduling models, GASS provides practical solutions for modern manufacturing environments. The findings contribute to the advancement of optimization techniques in FJSP, offering valuable insights for researchers and practitioners seeking efficient, scalable, and adaptive scheduling systems.
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).
Co-Authors Adhy, Dewanto Rosian Adi Suryaputra Paramita Adven Kristianata Ahmad Johadi Alexander AS Gunawan Budi Tjahjono Dewi, Deshinta Arrova Dini Handayani Evelyn Fajrianto, Rendi Ford Lumban Gaol Futri Ramadhani, Kareena Huda, Saeful Ilham Mukti, Raulian Kristiawan, Agus Kundang Karsono Juman Muhamad Bahrul Ulum Mukhamad Abduh Nanda Pratama Nizirwan Anwar Nur Widiyasono, Nur Paramitha, Adi Suryaputra Rizki Ramadhan Rizki Ramadhan Rudi Hermawan Sandri Alfarisi Suryodiningrat, Satrio Pradono Susanto, Yudi Widodo Budiharto Yudi Susanto Yulhendri Yulhendri