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IMPLEMENTASI METODE HUMAN CENTERED DESIGN (HCD) DALAM PERANCANGAN USER INTERFACE USER EXPERIENCE APLIKASI E-MENU BERBASIS MOBILE DI UMKM BAWANA KOPI Azaro Lichas, Sergio; Jaelani, Irsan; Minarto, Minarto
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 3 (2023): JATI Vol. 7 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i3.6993

Abstract

UI (User Interface) dan UX (User Experience) adalah dua aspek yang sangat penting dalam pengembangan aplikasi mobile. UI merujuk pada segala sesuatu yang berkaitan dengan tampilan dan antarmuka aplikasi, sedangkan UX mencakup cara pengguna berinteraksi dengan aplikasi. Saat ini Bawana Kopi masih menggunakan sistem pemesanan manual yang cukup merepotkan baik untuk pelanggan maupun pihak restoran. Maka dari itu Bawana Kopi membutuhkan suatu aplikasi pemesanan menu makanan agar dapat membantu pihak restoran memberikan pelayanan yang baik. Dengan ini maka akan dilakukan perancangan UI dan UX terlebih dahulu dengan menggunakan metode Human Centered Design (HCD). Hasil perancangan pada penelitian ini dilakukan dengan menggunakan metode pengujian System Usability Scale (SUS). Pada perancangan user interface dan user experience pada aplikasi prototype aplikasi Pemesanan Menu pada Bawana Kopi untuk memberikan kemudahan bagi penggunanya. Hasil dari pengujian SUS mengenai Prototype aplikasi Pemesanan Menu Bawana Kopi adalah sangat baik dan dapat diterima oleh responden atau calon pengguna.
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) KLASIFIKASI MOTIF BATIK MENGGUNAKAN EFFICIENTNET-B1 Hardirega, Aryo; Jaelani, Irsan; Minarto, Minarto
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.10901

Abstract

Penelitian ini bertujuan untuk memudahkan pengenalan motif batik di Indonesia. Pengolahan citra digital dalam klasifikasi gambar bertujuan membuat komputer dengan meniru kemampuan manusia dalam membedakan atau mengelompokkan gambar berdasarkan informasi yang terkandung didalamnya melalui Convolutional Neural Network (CNN), bagian dari Deep Learning, untuk mendeteksi dan mengenali objek pada citra digital. Metode penelitian menggunakan CRISP-DM dengan arsitektur EfficientNet-B1, yang menunjukkan akurasi training 0,89 dan loss 0,33, serta akurasi testing 0,98 dan loss 0,70. Faktor seperti jumlah strides, nilai dropout, dan pemilihan aktivasi sangat berpengaruh pada kinerja model. Model ini dapat diimplementasikan dalam aplikasi mobile berbasis android.
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.
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.
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
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.
RANCANG BANGUN ALAT PEMANTAU DENYUT JANTUNG DAN SUHU TUBUH BERBASIS MIKROKONTROLER MENGGUNAKAN LABVIEW DI KLINIK TAZAKKA PURWAKARTA Minarto, Minarto; Dede Irmayanti; Mochammad Imam Sulistiyo Sarjowo
Jurnal Teknologika Vol 13 No 2 (2023): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v13i2.267

Abstract

Heart rate and body temperature are one of the determining factors or vital signs in the selection of health. Measurements regarding heart and body temperature are carried out to determine the clinical signs and are useful to confirm the diagnosis of a disease. In the process of checking the heart rate and body temperature still use conventional equipment such as a stethoscope and glass thermometer. The measurement process is done one by one then the process of recording the results of measurements is done by hand. this system is less effective because it takes a lot of time. In this study a monitoring system was developed that refutes the state of integrated body temperature, the measurement results related to the patient's health status installed through a desktop-based application. This monitoring process is carried out using a heart rate sensor to deny the heart rate and a DS18B20 sensor to measure body temperature. Input data processing from the second sensor is done using a microcontroller. The method used to make this research is a prototype. Overall this system is able to measure heart rate and body temperature, equipped with a user interface feature using LabView that can display heart rate, body temperature and to find out the level of health from the research results obtained an error value of 2.26% to measure heart rate and 0.81% for body temperature measurements. Keywords: Heart Rate, Body Temperature, Automation System, Information System, LabView