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All Journal RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Informatics Management and Information Technology Bulletin of Information Technology (BIT) PEDAMAS (Pengabdian Kepada Masyarakat) Adpebi Science Series
Armanto
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Automatic Cat Feeding And Monitoring System in Hiro Catshop Shop Based on The Internet of Things Khairani Daulay, Nelly; Novi Lestari; Armanto; Deni Nurdiansyah; Rahmad Dani; Alfia Tiara Permatasari
Adpebi Science Series 2022: 1st AICMEST 2022
Publisher : ADPEBI

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Abstract

Cat feeding is still done manually without a system and there is no monitoring system for cat food leftovers that can be accessed through the website, Build a Monitoring System and Automatic Cat Feeder at Hiro CatShop Based on the Internet Of Things (IoT) that can monitor and provide food cat automatically and can be accessed remotely via the Website. The method that the author uses in conducting this research is a qualitative research method. Qualitative research methods seek an understanding of meaning, understanding, reality, events, or life by being directly and/or indirectly involved in the environment under study. cat in place, DHT11 sensor as a temperature detector in the room around the cat food place, servo motor as a means of opening the lid for cat food that comes out according to a predetermined schedule, NodeMCU to read and send sensor data into the database With an automatic cat feeding monitoring system this will make it easier for shop owners or shop employees to monitor cat feeding through the website, shop owners don't need to be afraid anymore if it's too late to feed the cat and waste too much time to come to the cat feeding place and also don't need to be afraid of losing n data caused by lost records (human error).
Sistem Keamanan Rumah Berbasis IoT Menggunakan Sensor PIR Jayusman, Dwika; Armanto; Taqwa Martadinata, Ahamad
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 5 No. 1 (2024): RESOLUSI September 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v5i1.2144

Abstract

The rapid development of technology has had a significant impact on various aspects of life, including in the field of home security. One of the innovations in home security systems is the application of Internet of Things (IoT) technology that utilizes PIR (Passive Infrared) sensors to detect human presence in the room. This research aims to design and implement an IoT-based home security system using Node MCU ESP8266 V.3 as a microcontroller and PIR sensor as a motion detector. Currently, theft often occurs in homes especially when the house is empty. This can cause hassle for homeowners. For this reason, it is necessary to have a system that allows users to monitor the condition of their homes. This system can be used in real-time via Websever on a smartphone device, which is connected to the internet network. With this system, it is expected that homeowners can quickly get notifications when there is suspicious activity in the house, especially when the house is empty. This research is also expected to contribute to the development of IoT-based security technology that is more effective and efficient. The results of this research show that the home security system built is able to function properly, provide real-time notifications, and improve overall home security. Based on the test results with several providers such as Indosat, 3 (Three) and Telkomsel, the results obtained are: if the distance between the sensor and the object ranges from 1 to 5 meters, the sensor will read and give a signal “There is Movement”, but if the sensor is rare from the object ranging from 6 to 10 meters, the sensor cannot read the movement.
Forecasting Penjualan Bahan Bangunan Menggunakan Metode Least Square Berbasis Website Menggunakan Framework Codeigniter Febriyan Idil Adha; Asep Toyib; Armanto
Journal of Informatics Management and Information Technology Vol. 5 No. 2 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i2.491

Abstract

The availability of stock information is crucial at Toko Jogja Bangunan considering the size and price of goods that are quite large and expensive. The problem that is often faced is running out of stock of certain items due to the lack of adequate sales and stock records. This results in decreased profits and high storage costs for unsold goods. This research aims to build a stock forecasting system using the Least Square method implemented through a Python-based application. The forecasting results are displayed in the form of tables and graphs, then validated manually based on previous sales data. The Least Square method was chosen because it is able to analyze random patterns, trends, seasonality, and cyclicality in sales data, and produce predictions with a low error rate. This forecasting system is implemented using the CodeIgniter framework to produce a web-based information system that is easily accessible and can present building material stock prediction reports accurately and quickly. With this system, it is hoped that Toko Jogja Bangunan can overcome shortcomings in stock management, improve operational efficiency, and support better decision making.
Sentiment Analysis of User Reviews of Kitalulus Job Search App on Google Play Store Using Machine Learning Hendri Hariadi, Astrid Ayuzi Putri; Intan, Bunga; Armanto
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2220

Abstract

This study seeks to assess the sentiment of user reviews for the "KitaLulus" job search app found on the Google Play Store, utilizing Machine Learning techniques. Given the intensifying competition within the job market, this application serves as a crucial resource for job seekers in Indonesia. The study employs a sentiment analysis method to categorize user reviews into three groups: positive, negative, and neutral. The dataset comprises 20,000 reviews in Indonesian gathered from the Google Play Store. The methodologies used in this study include K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Artificial Neural Network (ANN), Logistic Regression, and Naïve Bayes. The findings indicate that various algorithms demonstrate different levels of accuracy in sentiment classification. It is anticipated that the outcomes of this analysis will offer valuable insights to developers about the quality and effectiveness of the "KitaLulus" application, while also assisting users in making informed decisions prior to utilizing the app. Additionally, this research contributes to the domain of sentiment analysis, particularly concerning job search applications in Indonesia.
PENINGKATAN KEMAMPUAN SISWA SMK NEGERI 5 REJANG LEBONG MELALUI PELATIHAN JARINGAN FUNDAMENTAL Beni Aktavera; Harma Oktafia Lingga Wijaya; Biankha Ariesty; Armanto
PEDAMAS (PENGABDIAN KEPADA MASYARAKAT) Vol. 1 No. 04 (2023): NOVEMBER 2023
Publisher : MEDIA INOVASI PENDIDIKAN DAN PUBLIKASI

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Abstract

SMK Negeri 5 Rejang Lebong merupakan salah satu SMK yang ada di kabupaten Rejang Lebong yang berbatasan langsung dengan Kota Lubuklinggau. Kegiatan pengabdian pada masyarakat (PKM) yang dilaksanakan bertujuan memberikan pemahaman tentang Jaringan fundamental yang nantinya akan digunakan siswa-siswi sebagai dasar dari kompetensi siswa-siswi SMK itu sendiri, serta pelatihan ini juga upaya untuk meningkatkan keterampilan dasar jaringan fundamental. Pada era globalisasi ini, siswa-siswi SMK diharapkan dapat mengerti dan paham mengeai jaringan komputer, jaringan komputer merupakan materi ke tiga yang harus dikuasai oleh siswa-siswi SMK Negeri 5 Rejang Lebong. Pelatihan ini dilakukan oleh selama 2(hari) dengan jumlah peserta sebanyak 60 siswa-siswi, materi yang diberikan selama pelatihan diantaranya, Apa itu Jaringan Komputer, IP Address dan MAC Address, Jaringan Berdasarkan Area, Perangkat Jaringan (Network Devices), Media Transmisi. Hasil kegiatan ini adalah peningkatan pemahaman siswa-siswi tentang jaringan komputer fundamental.
Co-Authors Alfia Tiara Permatasari Asep Toyib Beni Aktavera Biankha Ariesty Deni Nurdiansyah Febriyan Idil Adha Hendri Hariadi, Astrid Ayuzi Putri Intan, Bunga Jayusman, Dwika Khairani Daulay, Nelly Lingga Wijaya, Harma Oktafia Martadinata, A. Taqwa Novi Lestari Rahmad Dani