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All Journal TEKNIK INFORMATIKA JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Infotech Journal JUPITER (Jurnal Pendidikan Teknik Elektro) CESS (Journal of Computer Engineering, System and Science) SMATIKA Jurnal Informatika Upgris Fountain of Informatics Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of Technology And Business Khadimul Ummah Journal of Social Dedication Jurnal Inotera JSiI (Jurnal Sistem Informasi) JURNAL MANAJEMEN (EDISI ELEKTRONIK) IJISTECH (International Journal Of Information System & Technology) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Indonesian Journal of Community Services Jurnal Informatika dan Rekayasa Elektronik Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Sistem Komputer & Kecerdasan Buatan G-Tech : Jurnal Teknologi Terapan TIN: TERAPAN INFORMATIKA NUSANTARA Infotech: Journal of Technology Information Journal of Computer Networks, Architecture and High Performance Computing Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Infotech: Jurnal Informatika & Teknologi International Journal of Community Service International Conference on Industrial Revolution for Polytechnic Education Buletin Sistem Informasi dan Teknologi Islam Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Teknik Silitek Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Management and Digital Business Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH) LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Innovative: Journal Of Social Science Research Prosiding Seminar Informasi Kesehatan Nasional Journal Of Artificial Intelligence And Software Engineering Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi SmartComp
Nurchim Nurchim
Universitas Duta Bangsa Surakarta, Indonesia
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Home Electric Power Monitoring System Based on Internet of Things Using the Telegram Application Prastyo, Okik Dwi; Maulindar, Joni; Nurchim, N
IJISTECH (International Journal of Information System and Technology) Vol 8, No 2 (2024): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i2.357

Abstract

Work and human needs are very dependent on the presence of electrical energy, especially for household needs. Human negligence in using electrical energy will lead to wasteful use of electrical energy which causes payments to soar among households. Research was conducted to examine the application of monitoring the electrical power used by the device remotely via an internet connection. The system can be implemented using a NodeMCU ESP32, PZEM-004T sensor, 16x2 LCD, and the Telegram application as the system user interface on a smartphone. To be able to monitor via the Telegram application the user must be connected to the internet and the microcontroller must be connected to the internet network. This system using the internet network will make it easier to monitor the electrical power of electronic devices in the home every day. The result of this research is that an Internet of Things-based home electrical power monitoring system using the Telegram application can help and make it easier for home owners to monitor electrical power when the home owner is not at home.
Prototype of Smart Grain Storage Based Internet of Things Pratama, Wahyu Adi; Nurchim, Nurchim; Pamekas, Bondan Wahyu
Jurnal Inotera Vol. 9 No. 2 (2024): July - December 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss2.2024.ID349

Abstract

Rice (Oryza sativa L.) is a crucial staple food, particularly in Indonesia, one of the largest rice-producing countries. Proper storage of rice grains is essential to maintain their quality and quantity. This research aims to develop a smart rice grain storage prototype based on the Internet of Things (IoT) that can monitor temperature, humidity, and light intensity in real-time. The method used is Design-Based Research (DBR), involving six stages: focus, understanding, definition, conception, creation, and testing. The prototype utilizes DHT22 sensors for temperature and humidity, LDR sensors for light intensity, and soil moisture sensors, all integrated with an ESP32 microcontroller. Data collected from the sensors are sent to a cloud-based platform for analysis and early warnings if storage conditions are unsuitable. The results indicate that the prototype effectively monitors storage conditions and provides accurate data. System testing shows that all components function according to specifications. This prototype helps maintain grain quality and reduce damage risk during storage. The use of IoT in grain storage enhances efficiency and reduces farmers' costs. Future research should focus on developing more advanced prototypes with automatic control features and mobile application integration.
Prototype Sistem Monitoring Kualitas Air Rumah Tangga Dengan Memanfaatkan Internet of Things Irawan, Etwin Hendri; Nurchim; Wijiyanto
Jurnal Inotera Vol. 9 No. 2 (2024): July - December 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss2.2024.ID373

Abstract

This research aims to develop a household water quality monitoring system using the Internet of Things (IoT) by monitoring water quality parameters such as pH, Total Dissolved Solids (TDS), turbidity, and temperature in real time. The prototyping method in the development of this system allows continuous interaction between developers and users to meet the needs of the system. Data is collected through literature studies and observations to support system development. The results of this study are that every 1 minute, the sensor data is sent to the server, and then the sensor data will be displayed on the web platform; if the sensor data value is not at the predetermined value limit according to Permenkes number 2 of 2023, the displayed value will be red. The data collected by the sensor is sent to the server built with Node.js and stored in the PostgreSQL database. The monitoring results will also be displayed on a 20x4 I2C LCD. The system successfully monitors water quality parameters in real time, with results displayed on a web platform that is easily accessible to users. The implementation of IoT technology in this system provides an innovative solution for increasing public awareness of the importance of clean water quality. With this system, it is expected to create a healthier and safer household environment for families.
Penerapan Algoritma Naive Bayes untuk Analisis Sentimen Pada Aplikasi Kesehatan Digital Ibnu Bagus Setiawan; Joni Maulindar; Nurchim Nurchim
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5020

Abstract

The current digital era allows people to consult about health digitally, with applications such as Halodoc which are widely used for health consultations and purchasing medicines. This research aims to measure the accuracy of reviews and evaluate the performance of the Naïve Bayes algorithm in the sentiment analysis classification of users of the Halodoc application. The Naïve Bayes algorithm is applied to identify user sentiment which is divided into three categories: positive, negative and neutral. The analysis results show that with a train-test split of 10%, the application has a positive sentiment level of 94%, negative 63%, neutral 0%, and accuracy 85%. With a train-test split of 20%, the results were 93% positive, 69% negative, 13% neutral, and 86% accuracy. Meanwhile, with a train-test split of 30%, the results were positive 92%, negative 66%, neutral 0.9%, and accuracy 84%. This research provides new knowledge about the effectiveness of the Naïve Bayes algorithm in sentiment analysis in health applications, as well as revealing the level of user satisfaction with the Halodoc application.
Implementasi Metode Profile Matching Untuk Menentukan Posisi Ideal Pemain Sepakbola Dwi Kurniawan Saputro; Nurchim Nurchim; Bondan Wahyu Pamekas
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Positioning in football is a factor that must be considered, because a game can run according to the tactics that have been made by the coach if the player's position is in accordance with his abilities and character.But in determining the position of the player requires sharp instincts and structured training so that the ideal position for each player is found. This research aims to provide assistance to coaches to determine the ideal position of players by creating asystem that can strengthen decisions and increase confidence in placing players in certain positions. This system uses the Profile Matching method, which uses the ideal value for each criterion and also the individual value of each player as a comparison.This research produces a system that shows the ideal position of the player with test results from 15 players resulting in a percentage of 80% match between the initial position and the recommended position.
Pengendalian lampu dan door lock berbasis IOT untuk efisiensi kontrol di Yayasan Gunung Wayang Manunggal Ahmad Qashid Husaini; Herliyani Hasanah; Nurchim
INFOTECH : Jurnal Informatika & Teknologi Vol 5 No 2 (2024): INFOTECH: Jurnal Informatika & Teknologi (In Progress)
Publisher : LPPMPK - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/infotech.v5i2.1265

Abstract

Perkembangan teknologi Internet of Things (IoT) telah mengubah cara kita berinteraksi dengan lingkungan, termasuk pengendalian jarak jauh. Saat ini, Yayasan Gunung Wayang Manunggal sedang menghadapi permasalahan dalam pengendalian jarak jauh mereka, yang meliputi pengendalian lampu dan kunci pintu ruangan bimbel (door lock). Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan merancang sistem pengendalian lampu dan door lock jarak jauh mengunakan HP guna meningkatkan efisiensi kontrol di Yayasan. Penelitian ini menggunakan metode Waterfall karena sistem yang dihasilkan akan sesuai dengan kebutuhan admin yayasan. Setelah dilakukan pengujian, hasil dari 10 kali pengujian menunjukkan bahwa sistem berhasil mengontrol semua alat tanpa ada eror, dengan tingkat akurasi 100%. Analisis mencakup dua kebutuhan, pertama admin harus dapat mengontrol lampu dan pintu (door lock) yang ada di Yayasan dari jarak jauh menggunakan aplikasi Telegram, dan kedua admin harus dapat memantau kondisi lampu dan pintu. Fitur ini memungkinkan pengendalian dan pemantauan tanpa harus hadir di yayasan. Sistem ini mempermudah admin mengontrol lampu dan pintu dari jarak jauh menggunakan HP, sehingga lebih efisien dan mudah dioperasikan. Respon positif dari admin dan peminjam ruangan menunjukkan bahwa sistem ini sangat membantu dan mempercepat akses ke fasilitas yayasan
RANCANG BANGUN SISTEM ABSENSI DENGAN RFID BERBASIS IoT PT. UMBI TEKNOLOGI INDONESIA Gabriel Ardana; Nurchim; Bondan Wahyu Pamekas
Jurnal Teknik SILITEK Vol. 4 No. 02 (2024)
Publisher : Fakultas Teknik Universitas Pasifik Morotai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/jts.v4i02.139

Abstract

In today's digital era, information technology automation plays a crucial role in enhancing operational efficiency across various sectors, including education and industry. This article discusses the design and development of an attendance system based on the Internet of Things (IoT) utilizing Radio Frequency Identification (RFID) technology. The system is designed to replace manual attendance methods, which are often time-consuming and prone to human error. The proposed system consists of RFID hardware connected to an IoT network to collect attendance data in real-time. The data is then sent to a server via the internet and can be accessed through a website. This system enables instant attendance monitoring and automatic reporting with greater accuracy and efficiency. Testing results show that the RFID and IoT-based attendance system can improve the accuracy and speed of attendance recording. Therefore, the implementation of RFID and IoT technology in this attendance system can significantly contribute to enhancing the efficiency and accuracy of attendance management.
Predicting Indonesia’s Micro Small Medium Entreprises Stock Price Purnomo, Singgih; Nurmalitasari, Nurmalitasari; Nurchim, Nurchim; Awang Long, Zalizah
Jurnal Manajemen (Edisi Elektronik) Vol. 16 No. 1 (2025): Jurnal Manajemen (Edisi Elektronik)
Publisher : UPT Jurnal & Publikasi Ilmiah SPs Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jm-uika.v16i1.17762

Abstract

The impact of stock prices on new enterprises, notably Micro, Small, and Medium Enterprises (MSMEs), in Indonesia is significant. Given the significance of stock prices for MSMEs, engaging in stock price forecasting is crucial. Several stock price forecast-ing models exist, but only a limited number are suitable for predicting stock prices using limited samples, such as the stock prices of MSMEs in Indonesia. The limited sample size is because MSMEs are newly established enterprises accessing stock prices. This study aims to predict MSME stock prices in Indonesia, namely SOUL and TGUK. The forecasting model utilized is ARIMA. The results suggest that the ARIMA (0,1,1) model provides the most precise forecast for the stock price of SOUL MSMEs, while the ARIMA (1,1,2) model yields the most outstanding performance for TGUK. Investors can use the forecast results to identify profit-able investment opportunities or protect their portfolios from po-tential losses. Moreover, companies can employ stock price pre-dictions to evaluate their performance, develop financial plans, and allocate resources.
Implementasi Sistem Penghitungan Volume Kendaraan Menggunakan YOLOv8 Putra, Wihan Perkasa Nugraha; Pradana, Afu Ichsan; Nurchim, Nurchim
JURNAL FASILKOM Vol. 14 No. 2 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i2.7395

Abstract

Dengan banyaknya kendaraan di jalan, penting untuk memantau lalu lintas agar keamanan dan manajemen lalu lintas dapat terjaga dengan baik. Pengumpulan data jumlah kendaraan secara manual memerlukan banyak sumber daya dan biaya. YOLOv8 (You Only Look Once) adalah teknologi visi komputer yang memungkinkan deteksi objek secara otomatis dengan akurasi dan kecepatan tinggi. Penelitian ini bertujuan untuk mengotomatisasi perhitungan jumlah kendaraan yang melintas dengan YOLOv8, yang dapat mendeteksi berbagai jenis kendaraan dalam berbagai kondisi cuaca. Studi ini terdiri dari beberapa tahap, yaitu pengumpulan data, preprocessing, pemodelan, dan evaluasi. Dataset diperoleh dari dataset Kaggle dan rekaman video lalu lintas di Indonesia. Dataset dibagi menjadi data latih dan validasi dan diproses dengan bounding box. Pemodelan menggunakan YOLOv8 Nano dengan 50 epoch, dan evaluasi dilakukan menggunakan confusion matrix. Implementasi dilakukan menggunakan OpenCV untuk menghitung jumlah kendaraan dari rekaman video. Sistem ini berhasil menghitung jumlah kendaraan berdasarkan klasifikasi yang berbeda dengan baik, meski ada kendala saat frame drop. Penelitian ini berhasil mengembangkan sebuah sistem yang akurat dan diuji dengan rekaman CCTV lalu lintas di Surakarta, meskipun klasifikasi jenis kendaraan belum sesuai dengan standar dinas perhubungan dan kualitas frame rate video masih memengaruhi akurasi sistem. Sebaiknya dilakukan pengujian waktu nyata dan penambahan identitas unik pada kendaraan yang dideteksi.
Analisis Sentimen Ulasan Pengguna pada Aplikasi SIREKAP 2024 Menggunakan Machine Learning Hidayat, Taufik; Nurchim, Nurchim; Nurmalitasari, Nurmalitasari
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 1 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i1.7021

Abstract

Aplikasi Sirekap 2024 adalah sebuah aplikasi baru yang digunakan untuk mencatat dan melaporkan kegiatan dan hasil pemungutan suara pada Pemilihan Umum di Indonesia tahun 2024. Terdapat berbagai pandangan pro dan kontra terkait penggunaan aplikasi ini, sehingga aplikasi ini dipilih sebagai objek penelitian. Penelitian ini bertujuan untuk mengklasifikasikan ulasan pengguna ke dalam kategori sentimen positif, negatif, dan netral menggunakan tiga algoritma pembelajaran mesin yang berbeda, serta membandingkan dan menentukan algoritma terbaik. Tiga algoritma yang digunakan dalam penelitian ini adalah Naive Bayes, K-Nearest Neighbors (KNN), dan Support Vector Machine (SVM). Metode penelitian mencakup tahap pengumpulan data ulasan, preprocessing data, evaluasi hasil, dan penentuan dan perbandingan metode terbaik. Berdasarkan nilai akurasi, hasilnya adalah Naive Bayes (83%), K-Nearest Neighbors (56%), dan Support Vector Machine (84%). Support Vector Machine (SVM) terbukti menjadi algoritma terbaik dalam analisis ulasan pengguna aplikasi Sirekap 2024 karena memiliki nilai akurasi tertinggi yaitu (84%).
Co-Authors Abdullah Abdullah Syaifudin Afu Ichsan Pradana Agus Riyanto Agustina Srirahayu Ahmad Qashid Husaini Ahmad Setiawan Al Mustofa, Muhammad Hafizh Andrean, Fauzi Andy Ariyanto Ardi Lestari, Sofiana Ardianto Pambudi Arif Wicahyanto Assidiq, Abdul Hafid Atina, Vihi Atmojo, Fattah Satrio Atmojo, Fernando Winantya Aulia, Sherina Revita Awang Long, Zalizah Bagus Muhammad Latif Bondan Wahyu Pamekas Bondan Wahyu Pamekas Carolina Wibowo, Anita Cipto Utomo, Bangun Prajadi Dwi Hartanti Dwi Hartanti Dwi Kurniawan Saputro Edy Kurniawan Eko Purwanto Eko Purwanto Faiq Muhammad, Nibras Feri Setiyono Gabriel Ardana Hasanah, Herliyani Herliyani Hasanah Ibnu Bagus Setiawan Ichsan Pradana, Afu immaculata yolia dewi Widayanti Indah Nofikasari Indriyas Kukuh Wijayanti Irawan, Etwin Hendri Joni Maulindar Krisna Joko Purjianto Kurniawan, Daniel Ade Mahendra Abdul Rahman, Rizqy Maskhul Ryan Ibrahim Maulindar, Joni Muhammad Nibras Faiq Muhammad Rais Ramadhani Mumu, Raul Galvin Rudolf Munaiseche, Christian Imanuel Muttaqi, Bagas Ningsih, Pipin Widya Novianto, Novianto Nugroho, Mohammad Yusuf Nurhayati Nurhayati Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Oktaviani, Intan Pamekas, Bondan Wahyu Permatasari, Hanifah Pipit Vidianti Pradana, Afu Ichsan Pramono Pramono Pramono Prasetya, Ian Putra Prastyo, Okik Dwi Pratama, Wahyu Adi Purwanto, Eko Putra Prasetya, Ian Putra Prasetya Putra Pratama, Dita Putra, Wihan Perkasa Nugraha Ragil Saputro, Abdullah Rahadian, Dwiki Rasya Rudi Susanto Rukmini, Siti Santoso, Tri Djoko Saputra, Muchammad Yoga Sari, Nur Avia Adenta Setrayana, Abiyyu Sholeh, Ilham Singgih Purnomo Sopingi Sulistyo Wahyu S Sumarlinda, Sri Suryadi, Agung Suryani, Fajar Suryani, Fajar Suryani Taufik Hidayat Tejo Arum, Dinenda Tri Djoko Santosa Untoro, Fendi Uvi Firgianingsih Uvi Firgianingsih Widayanti, immaculata yolia dewi Wijayanti, Indriyas Kukuh Wijiyanto Wijiyanto Wijiyanto Wijiyanto, Wijiyanto Yommy Adhiwira Yudha Yunita Wisda Tumarta Arif Zalizah Awang Long Zalizah Awang Long