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RANCANG BANGUN TEMPAT SAMPAH PINTAR DENGAN AKUISISI DATA DI MADRASAH ALIYAH AL-HUDA 1 JATILUHUR Fitra, Rizki; Minarto, Minarto; Tamyiz, Uus Muhammad Husni
Jurnal Kajian Teknik Elektro Vol 9, No 1 (2024): JKTE VOL 9 NO 1 (MARET 2024)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v9i1.6989

Abstract

Design of a Smart Bin with Data Acquisition At Madrasah Aliyah Al-Huda 1 Jatiluhur is a system created to handle waste by integrating trash into the system. In general, trash cans must be checked manually by visiting their location, for this reason the authors conducted research with the aim of designing and building a system that functions to be able to detect garbage levels, temperature levels, humidity, light intensity, and rain, designing system modeling using unified modeling language (UML), namely use case diagrams, activity diagrams, sequence diagrams, and class diagrams. Applications are built on two desktop and mobile platforms, for desktop platforms built using visual basic.net, for databases using MySQL, and mobile platforms built using Android Studio, as well as for system testing using black-box testing, as well as for hardware implementation, the author uses Nodemcu ESP8266 and Arduino Uno. By designing a smart waste bin system with data acquisition, it will help handle waste more effectively and efficiently.
Application of Backpropagation Neural Network in Predicting Mandatory Test Vehicle Parks Rani Asmidewi; Muhyidin, Yusuf; Minarto, Minarto
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 2 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i2.21030

Abstract

Backpropagation neural networks can be used in almost every aspect of human life, including the prediction of mandatory test vehicle parks. The goal of this study was to use BPNN (Backpropagation Neural Network) modeling to anticipate mandatory test vehicle parks based on the past data from the Department of Transportation at Purwakarta Regency, and to predict the results using the best model. This study makes use of mandatory test vehicle parks data from 2014 through 2023, which necessitates monthly testing. The test results show an accuracy level of 90.134% utilizing alpha 0.9, iteration number (epoch) of 10000, and MSE value 0.0064. Based on the best BPNN model into Matlab applications, the mandatory test vehicle park will be predicted from June 2023 to May 2024. The estimated value of the mandatory test vehicle park in December 2023 will be used to determine the requirement for proof of passing the periodic test in 2023 with a score of 7587
Rancang Bangun Aplikasi Penyewaan Skuter Online Berbasis Mobile Menggunakan Metode Extreme Programming (Studi kasus: Skuterin Purwakarta) Nurachman, Muhamad Luthfi Aulia; Tamyiz, Uus Muhammad Husni; Minarto, Minarto
Jurnal Aplikasi dan Teori Ilmu Komputer Vol 7, No 2 (2024): September 2024, Jurnal Aplikasi dan Teori Ilmu Komputer (Jatikom)
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jatikom.v7i2.53464

Abstract

Saat ini, teknologi perangkat mobile telah menjadi kebutuhan utama manusia dan memudahkan berbagai pekerjaan di berbagai bidang melalui aplikasi mobile, termasuk sektor transportasi dan pariwisata, khususnya bisnis penyewaan skuter listrik. Penelitian ini berfokus pada Skuterin Purwakarta, sebuah perusahaan penyewaan skuter listrik yang masih menjalankan proses bisnis secara manual, seperti pemesanan melalui WhatsApp atau kunjungan langsung ke kantor, serta pencatatan yang dilakukan menggunakan buku. Proses ini dinilai kurang efektif dan tidak sesuai dengan kebutuhan saat ini. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan aplikasi penyewaan skuter berbasis Android yang memungkinkan pelanggan mengakses informasi skuter tanpa harus datang ke kantor, serta mempermudah pengelola dalam mendata skuter, pelanggan, dan transaksi penyewaan. Aplikasi ini akan dikembangkan menggunakan Android Studio dan database MySQL dengan metode extreme programming, dan seluruh proses dalam sistem akan berjalan secara online untuk meningkatkan efisiensi dan efektivitas operasional perusahaan.
Implementasi Payment Gateway Dan Whatsapp Gateway Pada Sistem Informasi Manajemen Anggota Pengembang Indonesia Berbasis Web Menggunakan Framework Laravel Agung Kusaeri; Irsan Jaelani; Minarto Minarto
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 2 No. 5 (2024): September : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v2i5.209

Abstract

Organisasi Pengembang Indonesia berfokus pada penyediaan perumahan bagi masyarakat berpenghasilan rendah (MBR). Namun, pengelolaan data menggunakan Ms. Excel menyebabkan berbagai kendala, termasuk dalam mengelola data anggota, perumahan, produk tagihan, dan laporan periodik. Proses pembayaran manual yang sering terlambat juga mempengaruhi operasional dan reputasi organisasi. Untuk mengatasi masalah ini, diusulkan sistem informasi berbasis Web dengan Framework Laravel. Objek penelitian ini adalah pengembangan sistem tersebut dengan tujuan untuk meningkatkan efisiensi pengelolaan data, keamanan transaksi, dan komunikasi dalam organisasi. Pengembangan sistem informasi ini menggunakan metode Agile dengan pendekatan Scrum. Pendekatan ini dipilih karena memungkinkan iterasi cepat dan umpan balik berkelanjutan dari pengguna. Sistem yang dikembangkan terintegrasi dengan Midtrans sebagai Payment Gateway untuk memfasilitasi pembayaran yang aman dan efisien, serta Wablas sebagai Whatsapp Gateway untuk notifikasi otomatis. Pengujian sistem dilakukan menggunakan metode Black Box, di mana setiap fitur diuji berdasarkan fungsionalitasnya tanpa melihat ke dalam struktur kode. Hasil implementasi menunjukkan bahwa sistem informasi berbasis Web ini memungkinkan admin mengelola data anggota, perumahan, produk, dan tagihan dengan lebih efektif. Fitur-fitur yang disediakan meliputi login, master data, transaksi, pendaftaran anggota, perpanjangan keanggotaan, perumahan, produk, dan laporan. Semua fitur telah diuji menggunakan pengujian Black Box dan berfungsi dengan baik. Dengan adanya sistem ini, diharapkan dapat meningkatkan efisiensi pengelolaan data, keamanan transaksi, dan komunikasi, serta mengatasi kendala yang ada dalam proses pengelolaan data dan pembayaran di Organisasi Pengembang Indonesia.
Sentiment Analysis of Telemedicine Applications on Twitter Using Lexicon-Based and Naive Bayes Classifier Methods Hasan, Arid; Ramadhan, Yudhi Raymond; Minarto, Minarto
Jurnal Riset Informatika Vol. 5 No. 4 (2023): September 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.857 KB) | DOI: 10.34288/jri.v5i4.244

Abstract

Since the onset of the COVID-19 pandemic in Indonesia, many people have turned to telemedicine programs as an alternative to minimize social interactions, opting for consultations from the safety of their homes using smartphones and internet connectivity. Given the necessity for physical distancing and avoiding crowded places, these applications have become indispensable substitutes for in-person medical consultations. Numerous apps facilitating access to healthcare services have been introduced in Indonesia, ranging from business startups to initiatives by the Ministry of Health. Telemedicine can potentially revolutionize healthcare in Indonesia, addressing critical health challenges. A significant issue within Indonesia's healthcare system is the scarcity of doctors and their uneven distribution. With only four doctors per 10,000 people, this figure falls far below the WHO guideline of 10 doctors per 1,000. Sentiment analysis of these applications was conducted to evaluate how telemedicine applications meet public needs and offer an alternative solution. Lexicon-based and naive Bayes methods were employed to classify tweet data into positive, neutral, and negative sentiments. The results revealed 908 positive tweets, 172 negative tweets, and 168 neutral tweets, indicating predominantly positive public perceptions of telemedicine applications. The naive Bayes classifier exhibited a 74% accuracy rate, with a precision of 98% and a recall of 86%. These findings underscore the positive impact and acceptance of telemedicine applications among the Indonesian populace, emphasizing their significance in augmenting the nation's healthcare landscape.
Perancangan Akuisisi Data Monitoring Kondisi Area Mesin Calendering Tekstil Dengan IoT Zakaria, Muhammad; Minarto, Minarto; Tamyiz, Uus Muhamad Husni
Progresif: Jurnal Ilmiah Komputer Vol 20, No 1: Februari 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i1.1467

Abstract

Calendaring is intended to obtain fabric with a flat, smooth and shiny surface by passing and pressing the fabric between hot calendaring rollers. Good results will be obtained if the fibers in the fabric are in a plastic condition, namely in a state of moisture and heat. This research aims to inform the condition of the calendaring machine area for workers because workers very rarely occupy the conditions of the area because the environment is hot and noisy. The Internet of Things (IoT) system for monitoring the condition of the calendering machine area with data acquisition consists of temperature, humidity, fire, vibration, and air quality sensors. The NodeMCU collects data from the calendering machine area sensors, then sends it to the web server using the POST method over a WiFi connection. The web server receives the data and displays it in real-time in graphical form. Operators can access it from a centralized control room to efficiently monitor the condition of the machine. Through the implementation of this data acquisition system, it is expected that the use of IoT in monitoring the condition of the calendaring machine area can improve operational efficiency, optimize preventive maintenance, and reduce overall production costs. Thus, the results of this research can make a positive contribution to the textile industry in achieving better performance and improving the reliability of calendering machines.Keywords: Calendering textile; Internet of Things; monitoring; NodeMCU AbstrakPenyempurnaan kain kalender (calendaring) dimaksudkan untuk memperoleh kain dengan permukaan rata, halus dan berkilau dengan cara kain dilewatkan dan ditekan diantara rol-rol kalender yang panas. Hasil yang baik akan diperoleh bila serat pada kain dalam kondisi plastis yaitu dalam keadaan lembab dan panas. Penelitian ini bertujuan untuk menginformasikan kondisi area mesin calendaring untuk para pekerja dikarnakan para pekerja sangat jarang menempati kondisi area tersebut dikarenakan lingkungannya panas dan bising. Sistem Internet of Things (IoT) untuk memonitoring kondisi area mesin calendering dengan akuisisi data ini terdiri dari sensor suhu, kelembaban, api, getaran, dan kualitas udara.  NodeMCU mengumpulkan data dari sensor area mesin calendering, lalu mengirimkannya ke web server menggunakan metode POST melalui koneksi WiFi. Web server menerima data tersebut lalu ditampilkan secara real-time dalam bentuk grafik. Operator dapat mengaksesnya dari tempat control terpusat control room untuk memantau kondisi mesin secara efisien. Melalui implementasi sistem akuisisi data ini, diharapkan penggunaan IoT dalam monitoring kondisi area mesin calendaring ini dapat meningkatkan efisiensi operasional, mengoptimalkan pemeliharaan preventif, dan mengurangi biaya produksi secara keseluruhan. Dengan demikian, hasil penelitian ini dapat memberikan kontribusi positif terhadap industri tekstil dalam mencapai performa yang lebih baik dan meningkatkan kehandalan mesin calendering.Kata kunci: Calendering textile; Internet of Things; Monitoring; NodeMCU
Akuisisi Data Pengiriman Pupuk Berbasis Machine-To-Machine (M2M) Mulyana, Mulyana; Minarto, Minarto; Alam, Syariful
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13639

Abstract

Penelitian ini bertujuan mengatasi masalah ketidaksesuaian jumlah pupuk saat pencatatan dan penimbangan di PT Pupuk Kujang yang berdampak pada efisiensi waktu dan kepercayaan perusahaan. Solusi yang diusulkan adalah sistem Akuisisi Data Pengiriman Pupuk berbasis Machine-to-Machine (M2M), menggunakan Arduino Mega untuk menghitung jumlah pupuk dan berat karung di konveyor. Tujuan utama adalah mendeteksi jumlah karung, tonase, dan waktu pengangkutan secara otomatis. Hasil penelitian menunjukkan bahwa penerapan teknologi M2M meningkatkan akurasi pencatatan dan penimbangan, mendukung efisiensi bisnis, serta mengurangi kesalahan. Penelitian ini berpotensi diterapkan lebih luas di industri lain yang memerlukan sistem akuisisi data yang akurat dan efisien, mendukung inovasi dan peningkatan kualitas dalam berbagai sektor
Penerapan Metode Prototype Dalam Rancang Bangun Aplikasi Koperasi Berbasis Android Di Koperasi Usaha Warga Pupuk Kujang Cikampek Aziz, Muhammad Gofarul; Defriani, Meriska; Minarto , Minarto
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13690

Abstract

Percepatan perputaran informasi terus meningkat di era digital ini, menjadikan informasi kebutuhan utama bagi manusia. Smartphone menjadi alat utama dalam menunjang perputaran informasi ini, sehingga perkembangan teknologi untuk mengolah data secara optimal menjadi penting. Penelitian ini berfokus pada penerapan metode prototype dalam rancang bangun aplikasi koperasi berbasis Android di Koperasi Usaha Warga Pupuk Kujang Cikampek dengan tujuan meningkatkan keamanan dan kemudahan penyebaran informasi keuangan bagi anggota koperasi, menggantikan sistem aplikasi chat yang dianggap kurang optimal. Metode prototype dipilih karena memungkinkan umpan balik terus-menerus dari pengguna selama proses pengembangan, sehingga aplikasi dapat disesuaikan dengan kebutuhan mereka. Aplikasi ini dikembangkan menggunakan bahasa pemrograman Kotlin, database MySQL, dan framework Express JS. Hasil penelitian menunjukkan bahwa penerapan metode prototype dalam rancang bangun aplikasi koperasi berbasis Android ini berhasil meningkatkan keamanan dalam penyebaran informasi keuangan, memudahkan akses informasi, serta mengoptimalkan pengolahan data keuangan anggota koperasi
PEMUNCULAN TINGKAT KESULITAN SOAL PADA TES PENJURUSAN MENGGUNAKAN REVISED BLOOM TAXONOMI (RBT) DI SMAN 1 BANGOREJO DENGAN APLIKASI WINGEN3 Minarto, Minarto
INCARE, International Journal of Educational Resources Vol. 1 No. 1 (2020): June 2020
Publisher : FKDP (Forum Komunikasi Dosen Peneliti)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/incare.v1i1.47

Abstract

Before using Bloom's taxonomy theory which has been revised each held a study in class X still use Junior high school class IX and the value of UN and poll only, here there are many problems one of them is many students with a high value group IPS but are interested to enter the science department, many also vice versa children with high value IPA group results but in the poll select incoming IPS. In this research grouping difficulty level using the use of the Euclidian distance formula, the main important thing in grouping this problem is to determine the cluster center of the three groups of questions, which is a group of easy questions, groups of medium and groups of difficult problems. To determine the center of the cluster using the theory used by Suharsimi Arikunto (2005), from the theory is used to menententukan the cluster center, if the level of difficulty is between 0.71-1.00 then the problem can be said to be easy, and the range 0.71-1.00 can be called also with a cluster range is easy, while the classic center is 0.86, if the level of difficulty is between 0.31-0.70 then including the problem is , and the range 0.31-0.70 can be called as well as the medium cluster range, while its classic center is 0.50, and if the difficulty level is between 0.00-0.30 then the problem can be said to be difficult, and the range 0.00-0.30 can be called also with the cluster range is difficult, while the classic center is 0.15. Wingen3 is later used to direct prospective students to a selection of questions that are appropriate to the student's own abilities and interests. In the problem if tested with the value of the parameter ? = 3 and ? = 1, then the tendency of the problem is easy, while if the value of ? = 5 and ? = 1, the tendency to arise is about being and for the value of ? = 7 and ? = 1, the tendency of problems that arise is difficult.
DESAIN SKENARIO PEMUNCULAN TINGKAT KESULITAN SOAL PADA GAME MATEMATIKA MENGGUNAKAN APLIKASI RULE-BASED SYSTEM (RBS) Minarto, Minarto
INCARE, International Journal of Educational Resources Vol. 2 No. 6 (2022): April 2022
Publisher : FKDP (Forum Komunikasi Dosen Peneliti)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/incare.v2i6.358

Abstract

In playing games a student (player) sometimes forgets the time, even sacrifices learning time to play the game. That thinking is what underlies this research, that learning while playing is expected to be a solution to increase students' interest in learning. To adjust the scenario to the player's ability, a scenario with varying difficulty levels is prepared. The scenario referred to here is the emergence of problems, so there are also problems with three levels of difficulty, namely easy questions, medium problems, and difficult questions. To determine the center of the cluster, if the difficulty level of the problem is between 0.71 - 1.00 then the problem can be said to be an easy matter, and the range of 0.71 - 1.00 can also be called the easy cluster range, while the cluster center is 0.86, if the difficulty level of the problem is between 0.31 - 0.70 then including the medium problem, and the range of 0.31 - 0.70 can also be called the medium cluster range, while the center of the cluster is 0.50, and if the difficulty level of the problem is between 0.00 - 0.30 then the problem can be said to be a difficult problem, and the range of 0.00 - 0.30 can also be called the difficult cluster range, while the cluster center is 0.15. The Rule-Based System will be used to form rules to direct players to scenarios that match the player's own abilities.