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All Journal Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Jupiter Proceeding SENDI_U Jurnal Teknik Komputer AMIK BSI JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknoinfo Journal of Dedicators Community J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal STRING (Satuan Tulisan Riset dan Inovasi Teknologi) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Informatika dan Rekayasa Elektronik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tunas Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences J-SAKTI (Jurnal Sains Komputer dan Informatika) Joutica : Journal of Informatic Unisla Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Zuly Budiarso
Uniersitas Stikubank Semarang
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Analisa Dan Perancangan Sistem Informasi Produksi (SiPro) PT. UPAP Hersatoto Listiyono; Anisa Istiqomah; P Purwatiningtyas; Zuly Budiarso
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 1 (2024): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i1.294

Abstract

PT UPAP is a company engaged in printing services, more precisely screen printing or screen printing, printing services are often needed by textile garment. Until now, PT UPAP has had approximately 70 garments spread across the provinces of Central Java, West Java, Jabodetabek and DIY. The existing system at PT UPAP is still done manually, starting from customer data collection, production, approval, product quality control, production stock data collection, recap data collection of production quality control reports , production stock reports to storage of other data, so that it is possible that during the process there are errors in recording the inaccurate reports made and delay in searching for the necessary data. The design of this information system is the best solution to solve the problems that exist in this company, in order to achieve an effective and efficient activity in supporting activities in this company.
Rancang Bangun Alat Keamanan Pada Shoesbox Menggunakan Sensor Passive Infrared Receiver (PIR) Berbasis Arduino dan IoT Wijaya, Zidan Rizky; Budiarso, Zuly
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1349

Abstract

Theft of valuables such as high-priced branded shoes is a crime that often occurs. As cases of theft increase, this research aims to reduce the number of theft incidents, especially those targeting valuable items such as shoes stored in shoe boxes. This research proposes the development of a security tool for shoe boxes equipped with a Passive Infrared (PIR) sensor to detect movement, Nodemcu esp8266 as the brain of the system, and the Blynk application as an Internet of Things (IoT) platform. This research will take the form of a Shoebox security tool that can provide shoesbox security notifications. This tool is designed to increase the security of shoe boxes, helping to effectively reduce the incidence of theft.
Rancang Bangun Sistem Kendali Suhu Pada Gudang Penyimpanan Ikan Menggunakan Arduino Berbasis IoT Perdana, Fajar Yulian; Budiarso, Zuly
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1374

Abstract

This research aims to design and build a temperature control system in a fish storage warehouse using Arduino and the Internet of Things (IoT). Arduino was chosen because of its ability to control temperature and ease of programming. This system is connected to the internet via IoT, which allows users to monitor and control warehouse temperatures remotely via mobile devices or computers. This research involves designing and implementing an electronic circuit consisting of a temperature sensor, Wi-Fi module, and relay module to control cooling devices in a warehouse. In addition, a web-based application was also developed to monitor and control warehouse temperature remotely. The test results show that the developed temperature control system functions well and meets the user's needs in maintaining the warehouse temperature within the desired range. With this system, it is hoped that temperature control in fish storage warehouses will become more efficient and can improve the quality and safety of stored fish
Rancang Bangun Alat Pengendali Suhu pada Proses Pasteurisasi Susu Murni Menggunakan Arduino Berbasis IoT Faulana, Nova; Budiarso, Zuly
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1381

Abstract

This research aims to design and develop a temperature control device for the pasteurization process of pure milk using Arduino based on the Internet of Things (IoT). The device is designed to monitor and regulate the temperature automatically during the pasteurization process to ensure its quality and safety. Arduino, as the main platform, is used to collect temperature data through temperature sensors that are directly connected to the system. The temperature data is then sent to a server through the internet network for real-time processing and monitoring. Intelligent temperature control algorithms are implemented in Arduino to adjust heating or cooling during the pasteurization process according to the set temperature point. The results of this research are expected to provide an efficient and accurate solution for temperature control in the pasteurization process of pure milk, as well as improve the overall safety and quality of dairy products.
Monitoring Aktifitas Siswa Menggunakan RFID Terintegran Web Husna, Himayatul; Budiarso, Zuly
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.819

Abstract

Student activity at school is an important factor in ensuring security, order and operational efficiency. Student attendance at school is an important element in managing student attendance and ensuring a safe school environment. The proposed system uses RFID technology to simplify the process of recording student attendance automatically, efficiently and accurately. This system consists of two main components, namely RFID readers installed at school entrances and a web-based server. When students pass through a door equipped with an RFID reader, their RFID card will be read, and the student's entry or exit information will be recorded in a database connected to the web platform. On the web platform, users can view student activity reports, access historical data.
Comprehensive Sentiment Analysis of Religious Content Naive Bayes Algorithm Model Listiyono, Hersatoto; Budiarso, Zuly; Susilowati, Susi; Windarto, Agus Perdana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7062

Abstract

This paper delves into sentiment analysis of online religious content utilizing the Naive Bayes algorithm to decipher the array of sentiments present in religious discussions. By tailoring this algorithm to the complexities of religious language, the study reveals hidden sentiments, offering valuable insights for researchers, policymakers, and communities. The findings demonstrate that the sentiment analysis model performs robustly, with a precision of 84.78%, a recall of 82.98%, and a balanced F1 Score of 83.87%, indicating high accuracy in sentiment identification and effectiveness in capturing a significant portion of actual sentiments. The overall accuracy of the model stands at 75.10%, affirming its successful adaptation to the intricacies of religious discourse. These results not only deepen our understanding of sentiment analysis in the realm of faith and spirituality but also have practical implications for enhancing interfaith dialogue, fostering mutual understanding, and guiding decision-making in religious and social organizations. This research makes a significant contribution to the growing field of sentiment analysis, providing a methodological framework for exploring the nuanced sentiment landscape within the domain of faith and spirituality.
Alat Bantu Parkir Kendaraan Berukuran Besar Menggunakan Jaringan Sensor Ultrasonik Berbasis Arduino: - Budiarso, Zuly; Nurraharjo, Eddy; Prihastono, Endro; Listiyono, Hersatoto
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10556541

Abstract

Parkir kendaraan merupakan masalah yang semakin rumit seiring dengan perkembangan jumlah dan jenis  kendaraan bermotor serta terbatasnya lahan parkir. Salah satu alternatif dalam menyelesaikan masakah parkir kendaraan berukuran besar adalah menerapkan teknonologi sistem kendali menggunakan arduino. Perkembangan teknologi digital yang sangat pesat mengubah teknologi sistem kendali dari sistem kendali analog menjadi sistem kendali digital. Dengan berubahnya sistem analog menjadi sistem kendali digital maka jenis perangkat yang digunakan juga berubah. Dalam penelitian ini akan dilakukan penerapan arduino untuk sistem kendali sensor ultrasonik yang digunakan untuk membantu pengemudi kendaraan berukuran dalam memarkir kendaraannya. Langkah awal adalah merancang perangkat keras dan perangkat lunak. Pada langkah ini ditentukan jenis sensor yang digunakan, tata letak sensor dan perangkat pendukung lainnya, dan algorithma serta program yang digunakan untuk mengendalikan sensor. Pengujian sensor dilakukan dengan cara memberikan halangan atau benda sebagai alat uji di depan sensor. Hasil pembacaan jarak sensor dengan penghalang akan ditampilkan di serial monitor secara real time. Dengan mengubah jarak penghalang dengan sensor secara acak diperoleh hasil pembacaan sensor dan respon sensor terhadap perubahan jarak telah berfungsi dengan baik. DFPlayer adalah sebuah alat yang berfungsi mengeluarkan suara sebagai tanda peringatan sesuai jarak yang dibaca oleh sensor.
Klasifikasi Opini Pengguna Media Sosial Twitter Terhadap JNT Di Indonesia dengan Algoritma Decision Tree Handoko, Widiyanto Tri; Supriyanto, Edy; Purwadi, Dimas Indra; Budiarso, Zuly; Listiyono, Hersatoto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.490

Abstract

JNT Ekspress is one of the many freight forwarding companies that exist today, where JNT has very wide access so it is very easy to use for the public in shipping goods. With the current network, JNT is able to deliver goods to all provinces in Indonesia. With the large number of users, of course there will be a lot of user opinions that appear, both positive and negative opinions. In order to be able to categorize multiple opinions, a machine learning program is needed that can simplify the process of grouping the opinion. There are many algorithms that can be used to classify opinions, one of them is Decision Tree. Prior to grouping or classification, Tweet data that has been collected needs to be preprocessed first so that the tweet data can be recognized by the system. Based on this research, the Decision Tree algorithm gets an accuracy of 94.12% with a comparison ratio of training data and testing data of 90:10
Optimizing LSTM with Grid Search and Regularization Techniques to Enhance Accuracy in Human Activity Recognition Budiarso, Zuly; Listiyono, Hersatoto; Karim, Abdul
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.433

Abstract

This study aims to enhance the accuracy of Long Short-Term Memory (LSTM) models for human activity recognition using the UCI Human Activity Recognition (HAR) dataset. The dataset comprises time-series data from accelerometer and gyroscope sensors on smartphones worn by 30 volunteers as they performed everyday activities such as walking, climbing stairs, descending stairs, sitting, standing, and lying down. Optimization was carried out using Grid Search for hyperparameter tuning and L2 regularization to prevent overfitting. The results show that the optimized LSTM model improved accuracy from 92.33% to 94.50%, precision from 93.12% to 94.61%, recall from 92.33% to 94.50%, and F1-score from 92.32% to 94.51% compared to the standard LSTM model. Despite these improvements, the study encountered several challenges, particularly in tuning hyperparameters, which required significant computational resources and time due to the complexity of the search space. Additionally, balancing regularization to prevent both underfitting and overfitting proved to be a delicate process. Further limitations include the model's performance variability with different sensor placements and potential overfitting to specific activity patterns. However, the implementation of hyperparameter optimization and regularization proved effective in improving the model's ability to recognize human activity patterns from complex sensor data. Therefore, this approach holds significant potential for broader applications in sensor-based human activity recognition systems, though further research is needed to address these limitations and generalize the findings.
Klasifikasi Opini Pengguna Media Sosial Twitter Terhadap JNT Di Indonesia dengan Algoritma Decision Tree Handoko, Widiyanto Tri; Supriyanto, Edy; Purwadi, Dimas Indra; Budiarso, Zuly; Listiyono, Hersatoto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.490

Abstract

JNT Ekspress is one of the many freight forwarding companies that exist today, where JNT has very wide access so it is very easy to use for the public in shipping goods. With the current network, JNT is able to deliver goods to all provinces in Indonesia. With the large number of users, of course there will be a lot of user opinions that appear, both positive and negative opinions. In order to be able to categorize multiple opinions, a machine learning program is needed that can simplify the process of grouping the opinion. There are many algorithms that can be used to classify opinions, one of them is Decision Tree. Prior to grouping or classification, Tweet data that has been collected needs to be preprocessed first so that the tweet data can be recognized by the system. Based on this research, the Decision Tree algorithm gets an accuracy of 94.12% with a comparison ratio of training data and testing data of 90:10
Co-Authors Abd. Wahid Abdul Karim Agung Prihandono Agus Perdana Windarto Aji Mulyono, Dewantoro Aji Supriyanto Anisa Istiqomah Antono Adhi Bagas lutfi Ainur Rofiq BAYU PRASETYO, OKY Brian Hakim Pangestu Darmaji, Satrio Wisnu Dewi Handayani U. N Dilan Allya Barqi Eddy Nurraharjo Eddy Nurraharjo Edy Supriyanto Edy Winarno Eka Ardhianto Eko Nur Wahyudi Faulana, Nova Hendy Tri Laksono Herny Februariyanti Herny Februariyanti Hersatoto Listiyono Husna, Himayatul Ika Alfiyah Noviana Ika Imam, Chalabi Irsyad Dzikhrullah Isworo Nugroho Jati Sasongko Wibowo Jati Sasongko Wibowo Jeffri Alfa Razaq Kasprabowo, Teguh Khoirul Anam Mardi Siswo Utomo Muji Sukur Mulya Kurnia Kasanova Nugroho, Fardha Hari nur wakhid fauzan Okta Katelia, Lisa P Purwatiningtyas Perdana, Fajar Yulian Purwadi, Dimas Indra Raharjo, Eddy Nur Rizal Adi Saputro Rizki Kurniawan, Alnando Setyawan Wibisono Suharmanto, Eko Taufiq Susi Susilowati, Susi Taufiq Dwi Cahyono Teddy Dwi Saputra Teguh Kristianto Widiyanto Tri Handoko Wijaya, Zidan Rizky Wiwien Hadikurniawati Yohanes Suhari Yunus Anis, Yunus