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All Journal Jurnal Pendidikan Sains MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika dan Teknik Elektro Terapan SMATIKA Sinkron : Jurnal dan Penelitian Teknik Informatika KOMPUTIKA - Jurnal Sistem Komputer Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) Nusantara Science and Technology Proceedings Inteligensi : Jurnal Ilmu Pendidikan Jurnal Pengabdian kepada Masyarakat Journal Software, Hardware and Information Technology Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Informatika Polinema (JIP) Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research SWAGATI: Journal of Community Service Smatika Jurnal : STIKI Informatika Jurnal
Pramudhita, Agung Nugroho
Politeknik Negeri Malang
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Analisis Peramalan Peluang Bisnis Tanah Menggunakan Metode Double Exponential Smoothing: (Studi Kasus: PT Jaya Nasional Famili pada Kota Malang) Muhammad Haidar Hammam; Eka Larasati Amalia; Agung Nugroho Pramudhita
Jurnal Informatika Polinema Vol. 7 No. 3 (2021): Vol 7 No 3 (2021)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v7i3.442

Abstract

PT. JNF is a company engaged in Engineering, Construction, and Project Management, located in South Jakarta. This company wants to develop its business by building housing in the city of Malang, to be precise in the Kedungkandang and Lowokwaru districts. The company needs some data and information about population density and land prices in the area to help the process of their project work. Providing information on data and forecasting results about population density and land prices in the area will help companies facilitate business development. Therefore, companies need an information system that can predict population density data and land prices in Kedungkandang sub-district and Lowokwaru sub-district, which functions to help companies see land business opportunities in Malang for housing development. The method used to make this system is the Double Exponential Smoothing method, because this method has a trend pattern that matches the data pattern of the object to be predicted. The data used are data from 2005 - 2018. The result of population density forecasting for Lowokwaru sub-district is 8713.98 and has a MAPE value of 1.39%, for Kedungkandang sub-district is 4949.07 and has a MAPE value of 2.55%, for the land price of Lowokwaru sub-district is 2777725.18 and has a MAPE value of 3.45 % and Kedungkandang sub-district is 1766560.27 and has a MAPE value of 8.36%. Based on the calculation of the MAPE value the results of the forecast above, it can be concluded that if the greater the constant value, the lower the MAPE value, the best constant value is between 0.6 - 0.9. The land business opportunity in Lowokwaru and Kedungkandang sub-districts is high based on the forecasting results of population density and land prices which tend to increase every year and the land business opportunity value based on ROI (Return of Investment) for the company is 0.38% of the initial capital. Keywords: information systems, forecasting, land business opportunities, land prices, population density, double exponential smoothing.
Sistem Informasi Peramalan Jumlah Pengunjung Menggunakan Metode Double Exponential Smoothing (Studi Kasus Body Gym Kota Malang) Muhammad Hafidz Ilham Priambudi; Eka Larasati Amalia; Agung Nugroho Pramudhita
Jurnal Informatika Polinema Vol. 7 No. 1 (2020): Vol 7 No 1 (2020)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v7i1.431

Abstract

Sistem informasi ini digunakan untuk melakukan kegiatan sehari-hari di Body Gym Malang dimana prosesnya yang saat ini masih menggunakan cara manual dan memerlukan waktu yang membuatnya tidak efisien. Hal ini yang menjadikan diperlukannya sistem yang mampu mengolah data dengan komputerisasi. Dari permasalahan diatas, penulis membuat sebuah sistem informasi dalam bentuk website yang memiliki fitur untuk mengatur keseluruhan informasi di website tersebut. Sistem ini diharapkan dapat membuat pemilik dan karyawan tempat fitness tersebut agar bisa lebih efektif untuk melakukan kegiatan sehari-hari. Sistem informasi ini memiliki fitur untuk pencatatan keuangan, menunjukkan grafik pendapatan, pencatatan jumlah pengunjung, request PT, dan report untuk data. Sistem informasi ini juga dilengkapi fitur utama, yaitu dapat meramalkan jumlah pengunjung fitness, zumba, dan aerobik menggunakan metode Double Exponential Smoothing dan dapat mengeluarkan rekomendasi untuk pemilik tempat gym. Data yang digunakan untuk meramalkan jumlah pengunjung fitness yaitu data aktual dari tahun 2015 hingga 2019. Dari hasil perhitungan data pengunjung fitness menggunakan konstanta 0,06 dihasilkan hasil peramalan sebanyak 1879 orang pengunjung di Bulan Desember 2019 dimana hasil tersebut merupakan hasil yang paling baik setelah dihitung dengan error MAPE sebesar 11,64% dan dengan akurasi ketepatan sebesar 88,36%. Sedangkan untuk fitur kegiatan yang lainnya, aplikasi website ini sudah memiliki fitur yang cukup lengkap dan sesuai dengan fungsinya setelah dilakukan pengujian sistem dan user untuk melakukan kegiatan sehari-hari dengan terkomputerisasi.
PERANCANGAN DAN IMPLEMENTASI PROTOKOL MQTT PADA SISTEM PARKIR CERDAS BERBASIS IOT Reynaldi Fakhri Pratama; Raden Sunu Raihan Wicaksono; Agung Nugroho Pramudhita
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3.3191

Abstract

Penelitian ini membahas pengembangan sistem parkir cerdas berbasis Internet of Things (IoT) untuk mengatasi masalah keberadaan lahan parkir yang kurang terjaga dan pelayanan yang tidak efisien di kota Surabaya. Sistem ini menggunakan sensor ultrasonik dan infrared untuk mendeteksi keberadaan kendaraan dan memantau kondisi parkir. Data dari sensor dikirim melalui protokol MQTT dan ditampilkan secara real-time pada website. Metode penelitian yang digunakan adalah metode prototype, yang melibatkan tahap komunikasi, perencanaan cepat, perancangan, konstruksi prototype, dan implementasi. Pengujian sistem menunjukkan waktu rata-rata sistem terhubung ke MQTT sekitar 6,3 detik. Sistem ini dapat membantu pengguna mencari tempat parkir dengan efisien dan mengurangi kemacetan lalu lintas. Hasil penelitian berupa blok diagram sistem, diagram alir area parkir, diagram alir gerbang sistem parkir, rancangan arsitektur jaringan, dan demonstrasi melalui website. Diharapkan sistem parkir cerdas ini dapat mempermudah pengguna dalam menemukan tempat parkir yang tersedia, mengurangi waktu mencari parkir, dan mengurangi kemacetan kendaraan di jalan.
OTOMATISASI PERTANIAN DENGAN SENSOR SOIL MOISTURE, SENSOR CAHAYA, LED GROW LAMPS, DAN POMPA AIR UNTUK PERTUMBUHAN TANAMAN OPTIMAL Haarisah Yustika Putri Al-Jufri; Ony Novianti; Ghibran Muhammad; Revangga Adytya; Agung Nugroho Pramudhita
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3.3192

Abstract

Pengembangan teknologi IoT telah menjadi solusi yang menarik dalam bidang pertanian, terutama dalam konsep pertanian indoor. Pertanian indoor menawarkan alternatif yang ideal untuk menghadapi tantangan cuaca buruk dan perubahan iklim yang tidak dapat diprediksi. Namun, pertumbuhan tanaman dalam ruangan memiliki kelemahan terkait kondisi cahaya yang terbatas. Oleh karena itu, penelitian ini bertujuan untuk merancang perangkat IoT yang terintegrasi, melibatkan sensor soil moisture, sensor cahaya, UV LED grow lamps, dan pompa air, untuk memantau dan mengontrol kelembaban tanah, intensitas cahaya, serta memberikan pencahayaan tambahan yang optimal bagi pertumbuhan tanaman. Diharapkan penerapan teknologi IoT dalam pertanian ini dapat meningkatkan efisiensi penggunaan sumber daya, mengurangi dampak lingkungan, dan menghasilkan pertumbuhan tanaman yang optimal, sehingga mendorong pengembangan sistem pertanian yang lebih efisien, berkelanjutan, dan produktif.
Pengembangan Alat Pendeteksi Kebakaran Berbasis Sensor untuk Keamanan Elektronik: Pengembangan Aplikasi Mobile dan Alat Pendeteksi Kebakaran Berbasis Sensor untuk Keamanan Elektronik Shofiyullah, R. Muhammad Azmi Herdi; Bagus Prasetyo, Iqshan; As’as Prabowo, Muhammad; Andhani, Ramona; Nugroho Pramudhita, Agung
Komputika : Jurnal Sistem Komputer Vol. 13 No. 1 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i1.9997

Abstract

The use of electronic devices has become common in today's era, both in industries and in everyday life. However, the potential fire hazards posed by these devices, such as gas stoves and industrial equipment, need to be taken seriously. Despite the installation and maintenance measures taken to reduce risks, there are still other factors that can trigger fires. Therefore, it is important to develop a fire detection tool that can provide information about the room conditions so that appropriate preventive measures can be taken before or during a fire incident. By utilizing temperature and humidity sensors like DHT22, as well as smoke sensors like MQ2, a fire detection device can be designed. Through the use of these sensors and suitable programming, the system is capable of providing real-time room condition information and sending notifications when significant changes occur. The experimental results have shown that the system is responsive to changes in room conditions and capable of providing early warnings regarding potential fires.
GAME EDUKASI AUGMENTED REALITY BERBASIS RME (REALISTIC MATHEMATICS EDUCATION) UNTUK MENINGKATKAN COMPUTATIONAL THINKING SISWA Triswidrananta, Odhitya Desta; Pramudhita, Agung Nugroho; Wijaya, Elita Mega Selvia
Inteligensi : Jurnal Ilmu Pendidikan Vol 7, No 1 (2024): DOI: http://doi.org/10.33366/ilg.v7i1
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/ilg.v7i1.5907

Abstract

This research addresses the common problem in mathematics education in Indonesia, which is the students' difficulties, as reflected in Indonesia's declining ranking in the Program for International Student Assessment (PISA). The research aims to create an innovative Augmented Reality (AR) Educational Game based on the Realistic Mathematics Education (RME) approach to improve students' understanding of the spatial geometry mathematics subject at the elementary school level. AR technology allows students to interact with mathematical objects in real-world contexts using Android devices. This game is designed to make mathematics more engaging and relevant to elementary school students. The research was conducted at Purwantoro 1 Public Elementary School in Malang City over four months, following the Game Development Lifecycle (GDLC). The test results showed an n-gain improvement of 0.71, indicating a positive impact of the game's development on students' learning outcomes.
Digital Forensic Investigates Sexual Harassment on Telegram using Naïve Bayes Apriyani, Meyti Eka; Maskuri, Rahmad Alfian; Ratsanjani, Muhammad Hasyim; Pramudhita, Agung Nugroho; Rawansyah, Rawansyah
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12514

Abstract

The widespread use of Telegram in Indonesia has had both positive and negative effects. While the app offers strong security features, it has also become a platform for digital crimes, including sexual harassment. This study aims to address the need for effective forensic analysis and classification methods by employing the National Institute of Justice (NIJ) methodology and Naïve Bayes classifier to analyze conversations on Telegram. The research evaluates the performance of digital forensic tools and the effectiveness of the Naïve Bayes method in identifying instances of sexual harassment conversation. The data analyzed is about conversations on the telegram application that contain sexual harassment. Data collection involves extracting relevant conversations and subjecting them to forensic analysis using MOBIL edit Forensic Express and FTK Imager. Based on the test results, the naïve Bayes algorithm can be used to classify conversations into positive and negative about sexual harassment. The value obtained from naïve Bayes testing is the accuracy value of 91.3%, Precision 100%, and Recall 90%.
Implementasi NodeMCU dan Blynk Dalam Sistem Pendeteksi Kebakaran Berbasis IoT Asronika, Nurlaily; Akyun, Alifiyul; Lutfiyah Mahmudah, Nadhifah; Wahyuningtyas, Rofiqoh; Nugroho Pramudhita, Agung
Journal Software, Hardware and Information Technology Vol 4 No 1 (2024)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v4i1.100

Abstract

Fires can cause material losses and human lives. Therefore, an effective fire early detection system is needed to prevent greater losses. In this research, ESP8266 is used as a microcontroller to connect fire detection sensors such as KY-026 Fire Sensor and MQ-2 Smoke Sensor. This early fire detection system is also equipped with a buzzer as an alarm and NodeMCU as a platform to connect the system to the Internet network and Blynk as a medium to provide real-time fire notifications to users. Tests were conducted by comparing the response time and accuracy of fire detection at different distances. The test results show that the fire early detection system built has an average response time of 2 seconds and a detection accuracy rate of 95%.
Perancangan Platform Pembelajaran Kelas Online untuk Mamina Mom dan Baby Treatment Malang Pramudhita, Agung Nugroho; Meyti Eka Apriyani; Farid Angga Pribadi; Elok Nur Hamdana; Deddy Kusbianto Purwoko Aji; Triana Fatmawati
Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Vol. 8 No. 1 (2023): December
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/j-indeks.v8i1.3885

Abstract

Learning platform adalah sebuah platform digital yang mendukung kegiatan belajar mengajar yang dilakukan secara jarak jauh, sangat relevan dalam era pendidikan modern di tengah perkembangan teknologi yang pesat. Fungsi utamanya adalah untuk pembelajaran online, yang telah menjadi tren yang signifikan dalam dunia pendidikan. Mamina Mom and Baby Treatment, bisnis di kota Malang yang spesialis dalam layanan perawatan untuk bayi, balita, ibu hamil, dan ibu menyusui, telah menyadari pentingnya memanfaatkan platform online untuk meningkatkan pengalaman belajar para ibu hamil dan menyusui. Mamina Mom and Baby Treatment mengimplementasikan e-learning berbasis website sebagai media pembelajaran terbaru yang memberikan akses mudah dan cepat ke berbagai jenis materi pembelajaran, serta fitur-fitur interaktif seperti komunikasi, tugas, dan monitoring. Platform ini dirancang untuk meningkatkan efektivitas dan efisiensi proses pembelajaran, serta memberikan pengalaman pembelajaran yang lebih mendalam dan bermanfaat. Dengan adanya platform ini, Mamina Mom and Baby Treatment berharap dapat meningkatkan kualitas layanan dan pengetahuan yang mereka berikan kepada para ibu. Berdasarkan hasil pengujian, terdapat perbandingan hasil kuesioner anggota sebelum menggunakan platform dan sesudah menggunakan platform mencapai 90%, menunjukkan efektivitas yang signifikan dari implementasi platform ini. Ini menandakan bahwa integrasi teknologi dalam pendidikan, khususnya dalam konteks layanan perawatan ibu dan anak, dapat memberikan manfaat yang besar dalam peningkatan kualitas pembelajaran dan pengalaman pengguna.
DEVELOPMENT COMPUTATIONAL THINKING GAMIFICATIONS LEARNING PLATFORM Pramudhita, Agung Nugroho; Nurhasan, Usman; Triswidrananta, Odhitya Desta; Lisuardi, Dina
Jurnal Pendidikan Sains Vol 10, No 1: March 2022
Publisher : Pascasarjana Universitas Negeri Malang (UM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/jps.v10i2.15818

Abstract

Students frequently encounter difficulties in describing complex problems as simple ones, analyzing the general differences and similarities of a problem, and generalizing problem solving patterns based on computational thinking. One solution to these issues is to use the concept of gamification on the learning platform. Which aims to develop a computational thinking learning gamification website. The gamification website developed applies gamification elements in CT learning such as implementing points where each level of difficulty level has a different point. Implements 3 levels namely “siaga”, “penegak”, and “penggalang” by applying the level the user can find out the level of difficulty of the questions according to the level provided such as. Then when working on the questions, you will get a badge that aims to symbolize the extent of the user's ability level when finished working on the questions. And the last one implements a Leaderboard which displays the user's overall rating. Users find the website for Computational Thinking Gamification to be satisfying as well as functional, according to the average score of 87 percent that it received from twenty different participants.
Co-Authors Abdul Muhsyi Ade Ismail Adytya, Revangga Akyun, Alifiyul Al-Jufri, Haarisah Yustika Putri Aldyansyah, Kevin Andhani, Ramona Asronika, Nurlaily Astiningrum, Mungki As’as Prabowo, Muhammad Bagus Prasetyo, Iqshan Deddy Kusbianto Purwoko Aji Dian Hanifudin Subhi Eka Apriani, Meyti Eka Larasati Amalia Ekojono Ekojono Elita Mega Selvia Wijaya Elok Nur Hamdana Farid Angga Pribadi Ferina Bayu Sukmadewi Firman Rachmad Caesar Ghibran Muhammad Haarisah Yustika Putri Al-Jufri Hamkah, Nafarul Hammam, Muhammad Haidar Hidayahtullah, Maulana Syarief Ida Ayu Putu Sri Widnyani Imam Fahrur Rozi Imam Fahrur Rozi Indra Dharma Wijaya Irsyad Arif Mashudi Krista Bella Dwi Rahayu Nur Widyasari Krista Bella Dwi Rahayu Nur Widyasari Lisuardi, Dina Lutfiyah Mahmudah, Nadhifah M Ridlwan Aditya Maskuri, Rahmad Alfian Mawangi, Puteri Ardista Nursisda Moch Yusuf Muhammad Hafidz Ilham Priambudi Muhammad Haidar Hammam Muhammad, Ghibran Nilofar, Rafli Alfian Novianti, Ony Odhitya Desta Triswidrananta Ony Novianti Pamenang, M. Unggul Pratama, Reynaldi Fakhri Priambudi, Muhammad Hafidz Ilham Putra Prima Arhandi Raden Sunu Raihan Wicaksono Ratsanjani, Muhammad Hasyim Rawansyah Rawansyah Rawansyah, Rawansyah Revangga Adytya Reynaldi Fakhri Pratama Shofiyullah, R. Muhammad Azmi Herdi Triana Fatmawati Triswidrananta, Odhitya Desta Tutuko, Aryo Bagus Kusumadewa Ulla Delfana Rosiani Usman Nurhasan Vipkas Al Hadid Firdaus Vit Zuraida Wahono, Wahyu Tri Wahyuningtyas, Rofiqoh Wicaksono, Raden Sunu Raihan Yan Watequlis Syaifudin