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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.
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.
Penerapan Metode WASPAS pada Sistem Pendukung Keputusan Pemilihan Perusahaan Sekuritas Aldyansyah, Kevin; Pramudhita, Agung Nugroho; Subhi, Dian Hanifudin
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 4 (2024): AGUSTUS-OKTOBER 2024
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i4.2163

Abstract

The selection of a credible securities company is the first step for investors to start investing in stocks. A securities company is a stock trading intermediary between investors and the company whose shares will be purchased. Credible securities companies must be listed on the Indonesia Stock Exchange (IDX) and followed by the Financial Services Authority (OJK). The limited information possessed by potential investors regarding the quality of securities companies causes them to hesitate in buying shares. Therefore, a decision support system is needed in the selection of this securities company. This study aims to facilitate potential investors in determining securities companies in conducting share purchase transactions using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The criteria used in the intercompany valuation of securities are: initial deposit fee, transaction fee, number of registered users, adjusted net working capital, and available features or services. This method is a weighted sum of the performance assessments on each alternative to all attributes. In this study, thirteen securities were used as alternatives in Malang, namely Mirae Asset, Indo Premier, BRI Sekuritas, BNI Danareksa, Mandiri, RHB, Trigemah, MNC, Valbury, Sinarmas, Reliance, Uob Kay Hian, and Sucor Sekuritas. Based on this research, system calculations using the WASPAS method provide the same results as the manual calculations performed on Microsoft Excel. The implementation of the ranking process on the accuracy answers is quite good, with an accuracy level of 73.3% from 5 respondents who have tested. This system can be used as an option for the selection of securities companies in the city of Malang with a fairly good accuracy rate of 73.3%.
Curriculum Design for the Applied Undergraduate Business Information System Study Program: Focus on learning Outcomes required in Indonesia Meyti Eka Apriyani; Agung Nugroho Pramudhita; Indra Dharma Wijaya
Nusantara Science and Technology Proceedings 4th International Conference on Vocational Innovation and Applied Science 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2912

Abstract

In Industry 4.0, where the internet and information technology have become primary needs, it is necessary to integrate information technology with the world of business and industry. The business world and industry need new skills. Higher Education, especially polytechnics as producers of expert workers, has not produced many graduates with competencies that are relevant to current conditions. Therefore, a curriculum is needed that can create graduates suitable for the needs of the business and industrial world. This research aims to design an integrated curriculum between business and industry that will be applied in the Applied Bachelor Program in Business Information Systems at the State Polytechnic of Malang. Qualitative research methods were used in this study, and literature studies and discussions were carried out with several industry curriculum experts and practitioners from the industry. The redesigned curriculum requires several analyses such as several data sources, namely curriculum evaluation which contains analysis from the previous curriculum, study materials or literature study and input from industry through tracer studies. The curriculum is made by paying attention to pedagogical learning and integrating industry, business and informatics. The redesigned curriculum also pays attention to the body of knowledge (BOK) by taking similar knowledge covering four main areas: information system strategy and management, information system development, operation, and evaluation of information system solutions. The results of this study are in the form of graduate profiles and a learning outcome matrix that is following the study material and the integration between business and informatics for applied undergraduate polytechnics.
Co-Authors Abdul Muhsyi Ade Ismail Adytya, Revangga Akyun, Alifiyul Al-Jufri, Haarisah Yustika Putri Aldyansyah, Kevin Andhani, Ramona Asronika, Nurlaily As’as Prabowo, Muhammad Bagus Prasetyo, Iqshan Deddy Kusbianto Purwoko Aji Dian Hanifudin Subhi Dimas Wahyu Wibowo 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 M. Unggul Pamenang Maskuri, Rahmad Alfian Mawangi, Puteri Ardista Nursisda Meyti Eka Apriyani Moch Yusuf Muhammad Hafidz Ilham Priambudi Muhammad Haidar Hammam Muhammad, Ghibran Mungki Astiningrum 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