Liliek Triyono
Politeknik Negeri Semarang

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Performance Evaluation of Pre-Trained Convolutional Neural Network Model for Skin Disease Classification Afandi Nur Aziz Thohari; Liliek Triyono; Idhawati Hestiningsih; Budi Suyanto; Amran Yobioktobera
JUITA : Jurnal Informatika JUITA Vol. 10 No. 1, May 2022
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.535 KB) | DOI: 10.30595/juita.v10i1.12041

Abstract

Indonesia is a tropical country that has various skin diseases. Tinea versicolor, ringworm, and scabies are the most common types of skin diseases suffered by the people of Indonesia. The classification of the three skin diseases can be automatically completed by artificial intelligence and deep learning technology because the classification process using an expert will require a lot of money and time. The challenge in classifying skin diseases is in the process of collecting data. Because health data cannot be obtained freely, there must be approval from the patient or hospital. Therefore, to overcome the limited amount of data, Pre-Trained CNN is used. The Pre-Trained CNN model has many patterns from thousands of images, so we do not need many images to train the model. In this study, a comparison of five pre-trained CNN models was conducted, namely VGGNet16, MobileNetV2, InceptionResNetV2, ResNet152V2, and DenseNet201. The aim is to find out which CNN model can produce the best performance in classifying skin diseases with a limited amount of image data. The test results show that the ResNet152V2 model has the best classification ability with the highest accuracy, precision, recall, and F1 score values, namely 95.84%, 0.963, 0.96, and 0.956. As for the training execution time, the ResNet152V2 model has the fastest time to achieve 95% accuracy. That's happened because the addition of the dropout parameter is 20%.
Arduino-based Charity Box Safety, Tracking, and Counter System Tri Raharjo Yudantoro; Liliek Triyono; Dwi Desy Nur Hani'ah; Moudina Risma Slodia
JAICT Vol 4, No 2 (2019)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.381 KB) | DOI: 10.32497/jaict.v4i2.1891

Abstract

The charity box is a supporting facility that can be used by pilgrims to distribute their infaq. In this modern era, it turns out that the mosque still counts the contents of the charity box manually and uses the usual padlock key for the safety of the charity box. The purpose of this research is to build a system and tool that can simplify the performance of mosque administrators in counting money and maintaining the security of the charity box. ArduinoBased Charity Box Safety, Tracking, and Counter System is a charity box equipped with automatic counting and security features using RFID and GPS. The method used in making this system is the waterfall method. The features in this system are automatic counting and security features using RFID keys, GPS, buzzers, and infrared sensors. This system is also equipped with a notification to the mosque management regarding the amount of money in the charity box and the location of the charity box using GSM / GPRS. From the testing of the system, it was produced that the Arduino-Based Charity Box Safety, Tracing, and Counter System was able to detect banknotes and coins well. The SMS feature also works well where there will be an SMS message regarding the amount of money and location of the charity box. The safety of the charity box is enhanced by using RFID, GPS, buzzers, and infrared sensors. From the user satisfaction test results obtained by the percentage of user satisfaction by 85%, which means the Arduino-Based Charity Box Safety, Tracing, and Counter System is quite attractive to users.
Development Of Logic And Algorithm E-Training Material With Block Programming Prayitno Prayitno; Liliek Triyono
JAICT Vol 2, No 1 (2017)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (987.702 KB) | DOI: 10.32497/jaict.v2i1.1089

Abstract

Integrating logical and analytical thinking activities to support 21st century learning ability, into a learning activity at elementary and junior high school level becomes a challenge. One of them is less interesting learning media. One of the technologies that can be used to support exciting learning is block programming Alice and Scratch. This article aims to develop online training materials Logic and Algorithm utilize block programming scratch for level five elementary school and block programming Alice for level eight junior high school as eLearning content. The development of this research is carried out by Analysis-Design-Development-Implementation-Evaluation (ADDIE) development model. Initial products were reviewed and advised by 2 primary school teachers, 2 junior high school teachers. Product quality assessment is done based on content feasibility aspect, feasibility of presentation, language feasibility using Likert scale. The results data are then analyzed using the ideal scoring criteria to determine product quality. The results of the overall training content quality assessment show an average grade of 89.8 with good.
TEKNOLOGI MULTIMEDIA UNTUK PEMBUATAN BAHAN AJAR PADA GURU SMPIT BINA INSANI 1 SEMARANG Mardiyono Mardiyono; Liliek Triyono; Prayitno Prayitno; Sukamto Sukamto; Tri Raharjo Yudantoro
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 3 No 1 (2018): Juni
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v3i1.571

Abstract

Perkembangan teknologi pembelajaran berbasis multimedia menuntut para guru untuk menguasai dan menerapkannya dalam kegiatan belajar-mengajar di sekolah. Sayangnya masih banyak guru di SMP Islam Terpadu Bina Insani 1 Semarang yang belum menguasai pengetahuan dan kompetensi pembuatan bahan ajar berbasis multimedia dan ketersediaan pearlatan pendukung pembelajaran multimedia yang terbatas. Maka dari itu perlu dibuat suatu model kegiatan dalam bentuk program pelatihan dan penerapan teknologi multimedia dalam pembuatan bahan ajar para guru di sekolah tersebut. Tujuan dari kegiatan ini adalah membuat program pelatihan dan implementasi pembuatan bahan ajar berteknologi multimedia untuk memperkaya bahan ajar bagi para guru dan membantu penyediaan peralatan dan teknologi hardware dan software multimedia. Target yang diharapkan pada kegiatan ini meliputi: penguasaan teknologi multimedia pada bahan ajar lima orang guru, tersedianya tiga bahan ajar yang menggunakan teknologi multimedia. Metode yang digunakan terdiri dari empat  tahap yaitu (1) observasi kebutuhan lapangan, (2)penyediaan peralatan pendukung multimedia, (3) pelatihan SDM, (4)pembuatan materi ajar multinedia. Berdasarkan hasil kegiatan yang telah dilakukan, luaran yang dihasilkan telah melebihi target yang direncanakan meliputi : 13 guru telah mengikuti pelatihan dan menguasai teknologi pembuatan bahan ajar multimedia, telah dihasilkan 10 materi ajar berbasis multimedia, dan tersedianya peralatan penunjang teknologi multimedia seperti laptop, access point, perangkat audio. Dampak dari kegiatan ini akan memperkaya metode pembelajaran para guru dengan teknologi multimedia sehingga memudahkan siswa dalam memahami materi pelajaran.  Keywords— guru, bahan ajar, multimedia, pelatihan
Home Automation (Monitoring Terang Redup Lampu Dan Kontrol Tirai Jendela) Berbasis Node MCU Dan Android Liliek Triyono
IJAI (Indonesian Journal of Applied Informatics) Vol 2, No 2 (2018)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3642.679 KB) | DOI: 10.20961/ijai.v2i2.20186

Abstract

Light Monitoring Dimmed Lights and Curtain Control Windows Node-based MCU is a system designed to turn on and off lights using android controls. In addition the system is also equipped with features open and close the window curtain automatically. This feature and traffic use the LDR sensor to detect light and make it up to 300 then the servo motor will move and open the window. In addition to control android applications, this is in accordance with the function of this system is to control whether the lights are in a state of light or not. You can use remote lights in accordance with the conditions desired by the home owner on android device. This system is used to explore issues related to energy and home safety.
BAR SUBUH : Bantal Aman Radiasi Untuk Monitoring Suhu Tubuh Pada Bayi Liliek Triyono
IJAI (Indonesian Journal of Applied Informatics) Vol 4, No 1 (2019)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1367.297 KB) | DOI: 10.20961/ijai.v4i1.34568

Abstract

Bar Subuh (Bantal Aman Radiasi untuk Monitoring Suhu Tubuh pada Bayi) berbasis NodeMCU merupakan sebuah sistem yang dirancang untuk memonitoring suhu tubuh pada bayi dan data dikirimkan secara real time pada smartphone pengguna. Suhu tubuh pada bayi adalah masalah yang cukup pelik bagi orang tua dikarenakan bayi rentan terkena suatu penyakit yang ditandai oleh suhu tubuh. suhu tubuh bayi dalam batas normal sekitar 320C-370C (Lenty Marwani,  Nico Demus River dan Firman Hutabarat, 2017). Sistem ini dilengkapi fitur notifikasi, yaitu notifikasi pada smartphone dan email pengguna (orang tua), apabila suhu tubuh pada bayi lebih dari 37oC. Fitur ini  merupakan fitur yang memudahkan orang tua untuk memantau suhu tubuh pada bayi kapan saja dan dimana saja. Cara kerja sistem ini dengan menggunakan tegangan voltase yang dihubungan dengan NodeMCU sebagai sebagai microcontroller, dan data didapatkan dari deteksi suhu menggunakan DHT11, lalu dikirimkan ke internet melalui NodeMCU. Setelah data terkirim pada NodeMCU data dapat ditangkap oleh smartphone pengguna (orang tua). Sehingga pengguna (orang tua) dapat memantau atau memonitoring suhu tubuh pada bayi secara real time. Sistem ini diharapkan dapat mengurangi kecemasan pengguna (orang tua) terhadap suhu tubuh pada bayi yang menyebabkan suatu gejala penyakit.
Optimasi Pemanfaatan RSSI-Wifi Sebagai Asisten Navigasi Lokasi Gedung Politeknik Negeri Semarang Berbasis Android Liliek Triyono; Sukamto Sukamto; Sirli Fahriah; Amran Yobioktabera; Afandi NAT
IJAI (Indonesian Journal of Applied Informatics) Vol 6, No 2 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v6i2.60160

Abstract

Abstrak Studi ini menyelidiki sistem navigasi dalam ruangan berbasis WiFi untuk menentukan lokasi bangunan. Sistem ini dikembangkan menggunakan metode sidik jari dari Received Signal Strength Indication (RSSI) dari masing-masing Access Point (AP). Komponen utama dari sistem berbasis smartphone menggunakan data dari WiFi dan Global Positioning System (GPS). Aplikasi yang dikembangkan untuk navigasi dirancang dan diimplementasikan sebagai elemen dari pencarian lokasi gedung dan aplikasi penentuan rute ke lokasi bangunan. Data peta bangunan dikumpulkan dari data GoogleMap yang disempurnakan dengan mewarnai lokasi geografis bangunan yang ditampilkan di perangkat seluler. Alat bantu navigasi yang dikumpulkan dari sensor memberikan orientasi perjalanan dan pembaruan posisi. Penentuan rute dihitung dengan rumus Haversine. Serangkaian percobaan dilakukan di wilayah Politeknik Negeri Semarang, Indonesia. Hasil penelitian menunjukkan bahwa sistem pemosisian dalam ruangan berbasis WiFi akurat dalam jarak sekitar 7.050 m, sehingga membuktikan kegunaan sistem untuk menentukan lokasi bangunan di area kampus. Sistem ini dapat digunakan untuk membantu pengunjung tanpa harus bertanya meskipun mereka hanya berkunjung sekali. AbstractThis study investigates a WiFi-based indoor navigation system to determine building locations. This system was developed using the fingerprint method from the Received Signal Strength Indication (RSSI) from each Access Point (AP). The main components of the smartphone-based system use data from WiFi and Global Positioning System (GPS). The application  is designed and implemented as an element of building location search and route determination application to building location. Building map data is collected from enhanced GoogleMap data by coloring in the geographic locations of buildings that displayed on mobile devices. Navigational devices collected data from sensors provide trip orientation and position updates. Route determination is calculated by the Haversine formula. A series of experiments were carried out at the Semarang State Polytechnic, Indonesia. The results show that the WiFi-based indoor positioning system is accurate within a range of about 7,050 m, thus proving the usefulness of the system for determining the location of buildings in the campus area. This system can be used to help visitors without having to ask even if they only visit once.