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All Journal Jurnal Teknologi JOIN (Jurnal Online Informatika) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Dinamika Informatika (JDI) SmartComp
Kusrini Kusrini
Magister Teknik Informatika, Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Sistem Pakar Final Check Motor Matic Menggunakan Metode Forward Chaining Studi Kasus Ahass 9677 Wahit Desta Prastowo; Ferry Wahyu Wibowo; Kusrini Kusrini
Jurnal Dinamika Informatika Vol 8 No 1 (2019): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.887 KB)

Abstract

Meningkatnya minat para konsumen terhadap produk sepeda motor matic khususnya produk dari honda kini sangat tinggi. Minat pembelian motor honda matic yang terus meningkat berbanding terbalik dengan jumlah teknisis maupun pusat layanan, sehingga mengakibatkan ketidakseimbangan antara layanan service AHASS 9677 dengan pengguna motor matic. Hal ini ditunjukkan oleh menumpuknya antrian mencapai 30 unit dalam sehari sehingga konsumen mengantri berjam-jam walaupun hanya untuk sekedar bertanya guna mengetahui kerusakan dan solusi serta estimasi biaya dari kerusakan kendaraan yang dimiliki. Kemajuan teknologi dapat digunakan sebagai upaya mempertahankan pelanggan dan mengatasi masalah antrian yang menumpuk dengan salah satu cara menerapkan ilmu keecerdasan buatan (Artificial Inteligence) dengan membuat Sistem Pakar (Expert System) menggunakan metode Forward Chaining yang dapat menerima inputan gejala kerusakan dan memberikan analisis kerusakan dan solusi kemudian memberikan estimasi biaya service. Kata kunci— Sistem Pakar, Motor Honda Matic, Forward Chaining. Abstract The increasing interest of consumers towards motorcycle products, especially products from Honda, is now very high. The interest in purchasing Honda matic motorcycles that continues to increase is inversely proportional to the number of technicians and service centers, resulting in an imbalance between the AHASS 9677 service service and motorcycle users. This is indicated by the accumulation of queues reaching 30 units in a day so that consumers queue for hours even though only to ask questions to find out the damage and solutions and the estimated cost of damage to the vehicle owned. Technological advances can be used as an effort to retain customers and overcome queue problems that accumulate with one way of applying artificial intelligence by making an Expert System using the Forward Chaining method that can accept damage symptom input and provide damage analysis and solutions. then provide estimated service costs. Keywords— Expert System, Honda Matic Motor, Forward Chaining.
DETEKSI PLAT NOMOR KENDARAAN PADA UNIVERSITAS XYZ MENGGUNAKAN METODE MSER (MAXIMALLY STABLE EXTREMAL REGIONS) Andhika Wisnu Widyatama; Kusrini Kusrini; Sudarmawan Sudarmawan
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 3 No. 2 (2022): Desember 2022
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v3i2.63

Abstract

The increasing number of students at XYZ Yogyakarta University every year is balanced with the number of vehicles used, it is necessary to pay attention to developing efficient intelligence and also a safe transportation system. Several studies of plate recognition methods have shown promising performance, but some methods may have weaknesses in situations of plate position and orientation variations, lighting, background, and non-plate objects. This research uses the Maximally Stable Extremal Regions (MSER) ​​method which is a keypoint search method based on the extremal region. The MSER method has been identified as one of the best region detectors due to its resistance to changes in viewing angle, scale, and exposure, as well as sensitivity to image blur. From the results obtained a detection rate of 80% can detect vehicle number plates well.
PERGERAKAN NILAI AKTIVA BERSIH (NAB) BERDASARKAN EVALUASI KESALAHAN METODE DOUBLE EXPONENTIAL SMOOTHING PADA REKSA DANA BNI-AM DANA LANCAR SYARIAH Muhammad Noor Arridho; Kusrini Kusrini; Muhammad Rudyanto Arief
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 3 No. 2 (2022): Desember 2022
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v3i2.64

Abstract

Mutual funds are a place to raise public funds managed by legal entities which are then invested in se-curities in the form of stocks, bonds and money markets. In essence, investing can increase welfare in the future. However, the interest of the Indonesian people in investing is relatively low. Along with the devel-opment of mutual fund technology, it has become known to the wider community through the presence of capital market service application providers. although, mutual funds have a small risk, as capital increas-es the risk increases. In this study, the researcher predicts the movement of net asset value (NAV) in the BNI-AM Dana Lancar Syariah mutual fund using the Double Exponential Smoothing method with 1 varia-ble to give preference in minimizing investment risk.. Predictions were made based on historical data for the period from January to March 2022 and an evaluation of the MAPE prediction error of 0.0107% and MAD 0.171248 using an alpha weighting of 0.4.
Analisis Perbandingan Optimizer pada Arsitektur NASNetMobile Convolutional Neural Network untuk Klasifikasi Ras Kucing D. Diffran Nur Cahyo; Muhammad Anwar Fauzi; Jangkung Tri Nugroho; Kusrini Kusrini
Jurnal Teknologi Vol 15 No 2 (2022): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v15i2.4025

Abstract

Searching for research titles and abstracts is made easy with these keywords. Artificial Intelligence (AI) technology is currently developing very rapidly, there are various applications of AI that we can find in everyday life around us without realizing it. AI technology now allows us to work with computers more easily, just as we can know the type of cat breed and other information. There is deep learning that works by imitating the human brain or artificial neural networks to enhance current machine-learning capabilities. Deep learning can recognize and classify image categories. This study aims to determine the optimal optimizer in the classification of cat breeds. With the classification of cat breeds, cat keepers can find out the type of cat breed so they can find out how to care for it, the activities, and the personality possessed by the cat. The use of algorithm method used in this study uses the CNN algorithm with the NASNetMobile architecture. The dataset contains 840 images which are divided into 4 classes and divided into 588 training data, 168 testing data, and 84 validation data. for the RMSprop optimizer with a learning rate of 0.0001 to get an accuracy of 89.88%, this result is the highest among the others. Meanwhile, the SGD optimizer gets an accuracy of 78.57 & this result is the lowest. So it can be concluded that the architecture and optimizer are very important and influential in improving the performance of the model.
Model TangselPay Receipts Using the UTAUT 2 Method Aolia Ikhwanudin; Kusrini Kusrini; Agung Budi Prasetio
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.803

Abstract

The South Tangerang City Government launched a digital financial service called TangselPay. This payment instrument will function as a means of paying levies and other transactions paid by taxpayers, TangselPay is basically a service from the South Tangerang City Government which is accessed via cellular phones (cell phones/smartphones) with the main aim of providing convenience to taxpayers in making levy payments. . . , so that taxpayers do not need to pay cash to the officer. This study aims to determine what factors influence people's interest in using TangselPay services in South Tangerang. The research model used is a modified model of Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). Data collection using purposive sampling method with the number of respondents in this study as many as 116 people in our market Pamulang. The data analysis technique in this study used Structural Equation Modeling (SEM) with SmartPLS version 3.3.3 software. The results of the analysis illustrate that the variables of Performance Expectations (PE) and Facilitation Condition (FC) have a positive effect on Use behavior and interest in use have a positive effect on usage behavior. While the variables of business expectations, social influence and hedonic motivation do not have a direct effect.
AirDisinfeX: Pengembangan IoT pada Sistem Pencegahan Penyebaran COVID-19 melalui Udara Rizqi Sukma Kharisma; Kusrini Kusrini; Uyock Anggoro Saputro; Mulia Sulistiyono; Majid Rahardi; Bernadhed Bernadhed; Elik Hari Muktafin
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 1 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i1.4483

Abstract

Ruang tertutup merupakan tempat yang memiliki potensi lebih tinggi dalam penyebaran virus COVID-19. Hal ini dikarenakan virus COVID-19 dapat terbawa udara. Ruang tertutup membuat udara semakin lama di ruang tersebut. Terlebih ruang tertutup sangat banyak digunakan untuk beraktivitas seperti rumah, sekolah, mall, kantor, tempat ibadah, dll. Sehingga untuk ruang tertutup harus mendapat perhatian serius untuk dapat menghindari penyebaran virus. AirDisinfeX adalah alat berbasis IoT dengan dilengkapi sinar UVC yang dapat membunuh virus termasuk virus COVID-19. Alat ini dapat dikendalikan dari jarak jauh secara manual atau timer. Sehingga alat bisa diaktifkan terlebih dahulu sebelum ruang tertutup digunakan. Penelitian ini juga menggunakan mikrokontroler ESP32 dalam mendukung pengembangan alat AirDisinfeX berbasis IoT. Hasil penelitian ini dengan akurasi sistem IoT AirDisinfeX sebesar 96,10% dan waktu respon rata-rata 5,32 detik
Co-Authors Agung Budi Prasetio Andhika Wisnu Widyatama Aolia Ikhwanudin Bernadhed, Bernadhed D. Diffran Nur Cahyo Elik Hari Muktafin Ferry Wahyu Wibowo Jangkung Tri Nugroho Majid Rahardi Muhammad Anwar Fauzi Muhammad Noor Arridho Muhammad Rudyanto Arief Mulia Sulistiyono Prastowo, Wahit Desta Rizqi Sukma Kharisma Sudarmawan Sudarmawan Uyock Anggoro Saputro