bit-Tech

Google Assistant-Enabled Smart Lock System Using NodeMCU ESP8266 for IoT

Arditya Dwifians — Tue, 30 Apr 2024 00:00:00 +0000

Security is an important aspect that needs to be considered in a smart lock system. Conventional key tools currently have low security levels and are vulnerable to attacks. Therefore, this research aims to design a smart lock security system that utilizes Google Assistant features from Google and the NodeMCU ESP8266 module based on the Internet of Things (IoT). By using Google Assistant, users can control this smart lock with voice commands. The NodeMCU ESP8266 is used as the main controller in this system, responsible for receiving commands from Google Assistant and controlling the smart lock mechanism. A prototype implementation was conducted to test the performance of this smart lock security system. In the testing phase, the system's performance was measured based on voice command responsiveness, response speed, and the security it provides. The test results show that this smart lock security system offers a higher level of security compared to conventional key tools, with a security satisfaction rate of up to 90% among the 10 respondents related to the use of this device. With this research, it is expected to enhance community security by introducing a safer and more reliable smart lock tool based on virtual assistant. This security system, utilizing Google Assistant features and the NodeMCU ESP8266, can provide ease and convenience for users while maintaining optimal security.

Web-Based POS with Apriori Market Basket Analysis

Jonathan Susanto, Indah Fenriana — Tue, 30 Apr 2024 00:00:00 +0000

This research project focuses on the design and development of a web-based Point of Sale (POS) application that incorporates advanced analytical techniques, specifically Market Basket Analysis with the Apriori algorithm and the Association Rule method. The primary objective of this web-based POS system is to empower retailers in managing their sales transactions efficiently and gaining valuable insights into customer purchasing behavior. The web-based POS application is multifaceted, offering features such as sales transaction recording, product inventory management, and customer data tracking. What sets it apart is the integration of the Apriori algorithm and Association Rule method, which enable the system to analyze and understand customer purchasing patterns. It identifies strong product associations and establishes rules that support intelligent decision-making for businesses. The advantages of Market Basket Analysis are substantial. Retailers can identify relevant purchase patterns, such as frequently co-purchased products or cross-selling opportunities. This information can be used to enhance marketing strategies, optimize product placement in stores, and create bundled product offerings, ultimately boosting sales and revenue. By analyzing transaction data and recognizing patterns, retailers can streamline their operations, minimize wastage, and allocate resources more effectively. In summary, this research project showcases the transformative potential of integrating Market Basket Analysis, the Apriori algorithm, and the Association Rule method into web-based POS systems. By doing so, retailers can enhance operational efficiency, boost sales, and improve customer satisfaction, ultimately leading to more successful and competitive businesses in the retail sector.

Flood Monitoring Early Warning System using Internet of Things-based Telegram

AnathaPindika Wijaya, Rino — Tue, 30 Apr 2024 00:00:00 +0000

Technology can be considered a human invention that is used to facilitate human activities. In the current increase and growth of technology, there are many technologies that have been created from time to time. Flooding is a natural disaster that can be caused by human behavior itself. Many floods occur due to blockage of water flow in gutters or drainage systems. The impact of a flood disaster are many things that harm us, if a flood occurs, it doesn't just result in material loss, it can even cause loss of life. Therefore, this research aims to create an Early Warning System for handling flood disasters based on the Internet of Things (IOT) using telegram as a monitoring control. According to the rule, if the water level distance is less than 10 cm, then the water level will be declared safe from flooding. Then, if it is greater than 10 cm and less than 15 cm, a flood warning will be issued, and if the water level is more than 15 cm, there will be a danger of flooding. The results of this research will show that this tool can detect water levels and send a warning/notification from the Telegram application.

Analysis and Design of Breeding Management Information System in Poultry Farms

Alexius Hendra Gunawan, Verry Kuswanto, Junaedi — Tue, 30 Apr 2024 00:00:00 +0000

Breeding management is indispensable in business development in the field of poultry farming where companies are required to keep up with the development of the digitalization era. Companies must be able to take advantage of opportunities in advances in information technology in obtaining accurate, fast and reliable information so that management can make decisions. PT. Peternakan Ayam Manggis has been using manual methods in recording the results of production or the process of breeding chicken farms. in making records using office software, namely excel, so that errors often occur and are often not realtime in making records. Records generated by poultry production include depletion, quarantine, culling, feed and egg production. in processing data generated manually can make it difficult for management to make decisions. The purpose of this research is to design an application that can be used by companies to obtain information during the breeding process.The research method in developing this application uses waterfall and design role analysis with data collection and using UML modeling. This information system application produces information about Breeding management including depletion, quarantine, feed, egg production, movement of chickens from one cage to another, culling. this information system application uses a database and application blackbox testing is carried out so that the application runs as needed.

Plant Based Watering System Internet of Things Arduino and Monitoring with Telegram

Rico Amanda — Tue, 30 Apr 2024 00:00:00 +0000

Watering plants is very important if plants are to grow healthy and fertile. Many plant owners do not water their plants because they are busy at work and busy activities outside the home. Watering plants in the form of a system that can work automatically is an integrated design that can help human work. The aim of this research is the application of the Internet of Things and Telegram in watering plants, as well as creating an application for monitoring plant growth and care using the Telegram application. The method used in this research is the internet of things. Internet of Things is a concept where certain objects have the ability to transfer data via a WiFi network, so this process does not require human-to-human or human-to-computer interaction. Everything is run automatically with the program. The Internet of Things is usually called LoT and this technology has developed rapidly starting from wireless technology, micro-electromechanical systems (MEMS) and the internet. The results of this research are that by using an automatic plant watering system based on the internet of things, plants can remain well maintained and the development of the plants can also be monitored via telegram. The results of the questionnaire respondents' answers were on average above 50% in choosing the answer "Strongly Agree". These results show that this application is easy to use and meets user needs.

Analisa Klasifikasi Penyakit Diabetes dengan Algoritma Neural Network

Sutrisno Sutrisno, Jupron — Tue, 30 Apr 2024 00:00:00 +0000

Metode yang populer dan efektif untuk mengidentifikasi dan klasifikasi diabetes adalah algoritma deep learning untuk klasifikasi dataset diabetes. Algoritma deep learning, terutama jaringan saraf tiruan juga dikenal sebagai neural networks telah terbukti sangat efektif dalam menangani tugas klasifikasi data medis, seperti diabetes. Dalam penelitian sebelumnya, algoritma neural network digunakan untuk mengklasifikasikan penyakit diabetes , tetapi nilai akurasinya masih di bawah 80,5%. Karena nilai akurasi masih kurang maksimal, penelitian ini bertujuan untuk meningkatkannya. Penggunaan metode pemrosesan yang lebih akurat, fine tuning hyperparameter, untuk memastikan data sudah normal pada setiap fitur yaitu dengan metode normalisasi standard, kemudian menambahkan hiden layer sebanyak 2 layer dengan harapan mempelajari klasifikas yang tidak bisa dipisahkan secara linier. Dalam penelitian ini, beberapa langkah pembaharuan dilakukan selain besaran hiden layer juga besaran test size. Pembaruan ini bertujuan untuk meningkatkan akurasi yang lebih besar, serta hasil yang lebih baik untuk presisi, recall dan F1. Artikel ini menggunakan data umum atau sekunder dari laman Kaggle. Penelitian ini dilakukan untuk meningkatkan pengetahuan tentang cara mencegah diabetes. Gejala penyakit ini termasuk kadar gula sewaktu lebih dari 200 mg/dl dan kadar gula puasa lebih dari 126.mg/dl, antara tahun 1998 dan 2014, Badan Kesehatan Dunia melaporkan peningkatan dramatis dalam jumlah kasus diabetes di seluruh dunia, dari 108 juta menjadi 422 juta.

Implementation of DHCP Snooping Method to Improve Security on Computer Networks

Andi Purnomo — Tue, 30 Apr 2024 00:00:00 +0000

This research proposes the DHCP Snooping method which is used to increase security on computer networks because Dynamic Host Configuration Protocol (DHCP) is a potential target for computer network attacks, one of the attack gaps that can occur in DHCP is the DHCP Rogue attack which is the simplest hacking method in which the attacker creates a fake DHCP connected to the core network allowing the hacker to set up a fake DHCP Server with full access to distribute IP addresses to clients. To address security gaps in computer networks in this research, researchers applied the DHCP Snooping method, which is a series of techniques to improve DHCP network security. When the DHCP server allocates IP addresses to clients on the LAN, DHCP Snooping can be configured on the LAN switch to allow only clients with certain IP and MAC addresses to have access to the network. By implementing the DHCP Snooping method you can increase security on computer networks where DHCP Snooping can distinguish which ports can be trusted (Trusted Port) and which ports cannot be trusted (Untrusted Port) so that the security of data and information in the computer network is maintained properly. Based on the results of this research, DHCP Snooping can prevent clients from getting DHCP IPs from DHCP Rouge because it has determined Trusted Port and Untrusted Port.

Kombinasi Metode AHP dan CPI Pada Sistem Pendukung Keputusan Pemilihan Guru Teladan

Elisabeth Glodia Isulti Usfinit, Yoseph P.K. Kelen, Siprianus S Manek — Tue, 30 Apr 2024 00:00:00 +0000

Saat ini teknologi sangat berpengaruh terhadap seluruh aspek kehidupan manusia baik dalam bidang pendidikan, ekonomi, bisnis, maupun organisasi lainnya. Terkhusus dalam bidang pendidikan yang tidak bisa dijalankan dengan mengandalkan cara yang sangat manual sehingga pengetahuan manusia itu sendiri didukung oleh teknologi saat ini. Salah satunya adalah penggunaan komputer sebagai alat bantu untuk menyelesaikan pekerjaan di bidang teknologi informasi. Teknologi informasi saat ini semakin berkembang di segala bidang, terutama dalam bidang pendidikan, khususnya pada Guru. Pemilihan guru teladan di SMA Negeri Insana Tengah saat ini masih dilakukan dengan sangat manual sehingga penilaiannya kurang tepat dan kurang baik. Sehingga hasil keputusan kurang berkualitas dan kurang adil bagi guru lain yang memenuhi standar. Metode yang digunakan dalam pemilihan guru teladan ini yaitu dengan menggunakan metode AHP dan CPI, metode AHP digunakan untuk menentukan bobot dari setiap kriteria sedangkan metode CPI digunakan untuk menentukan perangkingan dari setiap alternatif atau dari setiap guru yang mendapatkan perangkingan. Oleh karena itu peneliti merancang sebuah sistem pendukung keputusan sehingga mempermudah kepala sekolah dalam memilih guru manakah yang merupakan guru teladan di sekolah SMAN Insana Tengah. Untuk mengantisipasi pemilihan Guru teladan yang kurang tepat dan akurat maka diperlukan suatu sistem pengambil keputusan yang berdasarkan pada 6 kriteria utama dengan nilai bobotnya masing-masing yaitu Dokumen portofolio 0.08%, Karya tulis 0.25%, Disiplin 0.11%, Kinerja Guru 0.14%, Guru pluss 024% dan Penampilan 0.18%.

Design and Develop Interactive Multimedia Applying Problem-Based Learning to Enhance Problem-Solving Skills

Johannes Alexander Putra, Enjang Ali Nurdin, Nusuki Syariati Fathimah, Wahyudin — Tue, 30 Apr 2024 00:00:00 +0000

Informatics is intricately intertwined with the mastery of problem-solving. Within this discipline, one of the fundamental areas of study revolves around the concepts of branching and looping. During field studies, several student problems were identified, such as difficulty solving programming problems presented in the form of stories. This resulted in a lack of problem-solving skills among students when it comes to story problems. Additionally, there were issues with instructional media and less interactive teaching methods. The aim of this research is to design multimedia that implements a problem-based learning model to enhance students' problem-solving abilities. The research method used is Research and Development (R&D) with the ADDIE development model. The study involved 36 students from class X-B RPL at SMKN 1 Cimahi. The data obtained are as follows: 1) The development of interactive multimedia achieved an average score of 88. 2) There is an increase in students' problem-solving indicators, with an average pretest score of 40.13 rising to 68.38 in the posttest. Additionally, an N-Gain of 0.47 was obtained, with details as follows: understanding the problem at 0.60, devising a plan at 0.41, carrying out the plan at 0.35, and looking back at 0.34. The overall N-Gain falls within the moderate category. 3) The response to the multimedia is 83, categorized as excellent. The N-Gain results and multimedia assessment indicate that both the multimedia and this research achieved good outcomes.

Perbandingan Naïve Bayes dan CNN yang Dioptimasi PSO pada Identifikasi Berita Hoax Politik Indonesia

Tue, 30 Apr 2024 00:00:00 +0000

Berita palsu dalam politik menjadi ancaman serius terhadap stabilitas demokrasi dan kepercayaan publik terhadap informasi. Fenomena ini tidak hanya meresahkan, tetapi juga memiliki dampak yang dapat mengganggu proses demokrasi serta kepercayaan masyarakat terhadap media dan pemerintah. Penelitian ini bertujuan untuk menyelidiki dan membandingkan kinerja dua algoritma yang berbeda, yaitu Naïve Bayes (NB) dan Convolutional Neural Network (CNN), yang telah dioptimalkan menggunakan Particle Swarm Optimization (PSO), dalam mendeteksi berita palsu di ranah politik Indonesia. Untuk mencapai tujuan ini, penelitian menggunakan dataset berita politik yang telah melalui proses text preprocessing, termasuk pembersihan data dan normalisasi teks. Hasil penelitian menunjukkan bahwa model Naïve Bayes secara konsisten mampu mengungguli kinerja CNN, baik dengan atau tanpa penerapan PSO. Akurasi model Naïve Bayes mencapai 90.71%, sementara CNN mencapai 80.86% tanpa PSO, 79.68% dengan PSO, dan Naïve Bayes dengan PSO mencapai 90.25%. Temuan ini menegaskan bahwa pendekatan menggunakan algoritma Naïve Bayes memiliki potensi lebih besar dalam mengidentifikasi berita palsu dalam konteks politik Indonesia. Kontribusi signifikan dari penelitian ini terletak pada pemahaman yang lebih mendalam mengenai metode deteksi berita palsu, serta memberikan wawasan yang penting bagi pengembangan strategi yang efektif dalam menanggulangi permasalahan berita palsu di era digital. Oleh karena itu, diharapkan bahwa penelitian ini akan memberikan nilai tambah dalam upaya mempertahankan keaslian informasi politik dan meningkatkan kualitas demokrasi di Indonesia.

Sistem Generate Surat Berbasis Web Pada Perguruan Tinggi

Aan Triadi, nurajijah — Tue, 30 Apr 2024 00:00:00 +0000

Semakin bertambahnya jumlah mahasiswa yang terdaftar maka akan semakin tinggi pula pelayanan terhadap mahasiswa sebagai salah satu stakeholder yang ada pada perguruan tinggi, salah satunya adalah pelayanan terhadap mahasiswa dalam bidang akademik. Aktivitas membuat surat keterangan yang sering dibutuhkan oleh mahasiswa diantaranya adalah Surat Keterangan Bebas Tanggungan Beasiswa, Surat Keterangan Aktif Kuliah, dan Surat Rekomendasi dengan cara membuat satu persatu jika ada permohonan dari mahasiswa yang bersangkutan. Proses pembuatan surat yang diminta berkisar satu sampai tiga hari kerja, tergantung keberadaan pimpinan yang dimaksud untuk menandatangani surat yang diminta, sehingga mahasiswa harus terus memantau progres surat yang dibutuhkan dengan cara datang langsung ke Kampus dinilai kurang efektif. Oleh karena itu, dibutuhkan sebuah sistem yang dapat digunakan oleh mahasiswa untuk mengajukan surat keterangan yang dibutuhkan secara online. Perancangan sistem generate surat bertujuan untuk menambah efektifitas kegiatan pengajuan, validasi, hingga cetak surat yang dibutuhkan oleh mahasiswa. Dengan adanya sistem tersebut diharapkan dapat mempercepat dan mempermudah proses surat yang dibutuhkan mahasiswa. Model yang digunakan dalam pengembangan sistem adalah model waterfall dengan tahapan analisis kebutuhan user, desain database dan sistem, pengkodean, pengujian sistem, dan support. Hasil pengujian sistem menggunakan User Acceptance Testing (UAT) menunjukkan bahwa sistem yang dirancang sudah sesuai harapan kebutuhan pengguna dan berhasil dijalankan tanpa error sistem.

Prototype of Automatic Door and Fire Alarm System Based on IoT

Donny Adams, Yo Ceng Giap — Tue, 30 Apr 2024 00:00:00 +0000

This research discusses the development of a prototype of an automatic door and fire alarm system based on the Internet of Things (IoT) utilizing IR sensors to detect people, servo motors to automate door opening, flame detectors for fire detection, MQ-2 sensors for smoke detection, and Telegram as a notification medium. The integration of these technologies aims to enhance security and automation in home or office environments. IR sensors are used to detect people approaching the door, while servo motors provide a solution for door automation. Flame detectors and MQ-2 are employed to detect potential fires by issuing early warnings. This system communicates through the Telegram application to notify users. Testing conducted indicates that IR sensors can detect the presence of people up to a distance of 5cm to activate the micro servo opening the door. The flame detector effectively detects fire up to a distance of 30cm, while the MQ-2 sensor detects smoke up to a distance of 20cm; both generate output signals to activate the micro servo, LED, and buzzer for fire alarms, as well as sending notifications via Telegram to the building owner. With this approach, it is hoped to create an effective, efficient, and reliable system to enhance security and response to emergency situations.

Designing an Integrated Information System with a Fast and Attractive Interface to Improve Performance and User Experience

DIDI KURNAEDI — Tue, 30 Apr 2024 00:00:00 +0000

The Integrated Information System (Sister Fani) represents a significant innovation within the educational framework of SMK PGRI 1 Tangerang. Recognizing the imperative for a swift and engaging interface, this research endeavours to conceptualize and execute Sister Fani to adhere to elevated standards of performance and user satisfaction. Employing a qualitative methodology, data collection was facilitated through observation, interviews, and documentary research. The findings of this study underscore the pivotal role of a rapid and captivating interface design in enhancing user efficiency and enriching the overall user experience. By streamlining the process of accessing and utilizing information, the redesigned Sister Fani platform emerges as a catalyst for heightened productivity and improved service quality within the educational context of SMK PGRI 1 Tangerang. The practical implications of this research are manifold. The integration of Sister Fani into the operational framework of SMK PGRI 1 Tangerang promises to yield tangible benefits, including heightened productivity and enhanced educational service quality. By optimising the interface design to align with user expectations and requirements, educational institutions can cultivate an environment conducive to seamless information dissemination and utilisation. In conclusion, the successful implementation of Sister Fani stands poised to revolutionize the educational landscape of SMK PGRI 1 Tangerang, offering a paradigmatic shift towards efficiency, accessibility, and user-centricity.

Implementation of Diploma and Transcript Verification System on the Ethereum Blockchain Network

Intan Anjali Putri, Aditiya Hermawan, Ardiane Rossi Kurniawan Maranto — Tue, 30 Apr 2024 00:00:00 +0000

Blockchain, a decentralized database safeguarded by cryptographic security, has gained prominence for its resistance to manipulation. Its application extends notably to ensuring the security of financial transactions, including the acquisition of digital currencies. This study endeavors to develop a system aimed at validating diplomas and academic transcripts, enhancing their authenticity and bolstering the security of document storage. Leveraging the Ethereum Blockchain and Smart Contracts, the methodology focuses on the utilization of specialized codes executed within the Ethereum network. The outcome of this research manifests as a system blueprint designed for the verification of diplomas and transcripts, integrated within a web-based Ethereum Network platform. By harnessing the Ethereum Blockchain's inherent security features and employing Smart Contracts, the proposed system endeavors to streamline the verification process, ensuring the integrity and reliability of academic credentials while fortifying document storage against potential breaches. Through this innovative approach, the study contributes to advancing the authentication and security standards within the realm of academic documentation management.

Business Model Canvas for Internet of Things Application on Hydroponic in Tangerang

Dellih Wijaya, Riki riki, Benny Daniawan, Annisa Lorenza — Tue, 30 Apr 2024 00:00:00 +0000

Internet of Thing (IoT) in hydroponics was developed to monitor and control the hydroponic environment for efficiency and effectiveness with maximum results purpose. Many papers expose about IoT application on hydroponic, this article completed it with business model so it will sustain as valuable business especially in Tangerang Banten Indonesia. It is interesting and necessary to analyze the business model, so that this valuable system of the solution can sustain and growth, also proper for the big picture purpose. Of seventeen (17) goals SDGs, hydroponic using IoT application is related to solving point number two (2) about zero hunger and point number thirteen (13) about climate action. This paper uses qualitative descriptive methodology which analyzes and provides points of BMC for IoT application on hydroponic. The result of this paper found that BMC is proper tool to analyze and describe business model for IoT of hydroponic. Then this paper also finds there are several points of revenue streams with some different customer segments, support from hydroponic community, and some collaboration with key partners is needed, which means the business cannot stand alone. This paper has limitations which could be further interesting topics for the next paper.

Competitive Analysis in Satellite Ground Segment Industry Case Study of PT PC

Anggha Dipa Pratama, Lorio Purnomo, Glory Aguzman — Tue, 30 Apr 2024 00:00:00 +0000

The industry of providing devices and system integrators satellite ground segment is currently starting to erode with more efficient replacement telecommunications technologies such as fiber optic, wireless, and so on. In addition, satellite companies have begun to enter systems integrators business as one stop solution for customers. So, it is necessary for the provider of satellite ground segment devices and systems to re-analyze and to adjust their business strategy, to be more competitive, grow, avoid stagnation and losses. This paper used description methodology with case studies. PT PC in this case study is one of the ground segment satellite devices and system integrator company in Indonesia. This paper analyzes and provides points of advice to be done related to the results of the company's conclusions on situations and conditions using Michael Porter's 5 competitive forces and Business Model Canvas. As a result of the analysis, PT PC should strengthen the company with its uniqueness and upgrade the expertise, get more buyers and suppliers, and do diversification products and services to offset the substitutes. This paper has limitations which could be further interesting topics for the next paper.