Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

3.484

P-Index

This Author published in this journals

All Journal Jurnal Ilmu Komputer Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) SENTIA 2015 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Informatika dan Rekayasa Elektronik Journal of Information Systems and Informatics TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Bumigora Information Technology (BITe) Jurnal Pengabdian kepada Masyarakat Nusantara ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) SATIN - Sains dan Teknologi Informasi Journal Of Artificial Intelligence And Software Engineering Jurnal Pengabdian kepada Masyarakat IPTEKS Jurnal Pengabdian Pada Masyarakat IPTEKS

Triwijoyo, Bambang Krismono

Universitas Bumigora

Author-ID : 856885

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Social Sciences Other

Published : 26 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Aplikasi Spasial Rekomendasi Wisata Terdekat dengan Metode Haversine Berbasis Mobile Ahmat Adil; Risca Anggraeni Dwiputri; Bambang Krismono Triwijoyo
Jurnal Bumigora Information Technology (BITe) Vol 4 No 1 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i1.1948

Banyaknya pergerakan wisatawan nusantara berarti makin besar dan dinamis dampaknya pada pergerakan dan pertumbuhan ekonomi negara. Maka untuk memudahkan wisatawan dalam mengunjungi lokasi yang diinginkan diperlukan aplikasi yang dapat merekomendasikan objek wisata terdekat dengan memanfaatkan koordinat geolocation yang diterapkan pada metode haversine. Metode geolocation merupakan fasilitas dari google maps api di gunakan untuk menemukan lokasi pengguna dengan IP address, dedicated GPS atau embedded GPS yang mengandung nilai latitude dan longtitud untuk pengembangan aplikasi menggunakan GRAPPLE (Guidelines for Rapid Application Engineering) yang mempunyai 5 tahapan yaitu, Requirement Gathering, Analysis, Design, Development, Deployment. Sebagai contoh hasil aplikasi adalah destinasi wisata Air Terjun Tiu Kelep terletak pada latitude : -8.3113 dan longitude: 116.404, dengan lokasi user saat ini terlatak pada latitude : -8.27963 dan longitude 116.4166, dengan alat = -0.14505950121–(-0.144506804347)= -0.0005527457741, long = 2.0316330624915-2.0318529739772 =-0.00021991148575. Kesimpulan dari penelitian ini yaitu aplikasi yang di bangun dapat digunakan dengan layak, sehingga dapat dimanfaat oleh wisatawan lokal atau mancanegara dalam mendapatkan rekomendasi wisata dengan ranting terbaik dan jarak terdekat

Penerapan E-Commerce dalam memasarkan produk UMKM Fitri Mutiara Lombok Husain; Sirojul Hadi; Muhammad Haris Nasri; Tomi Tri Sujaka; Lilik Widyawati; Bambang Krismono Triwijoyo; Christopher Michael Lauw
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 5 No. 2 (2022): Nopember: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/abdimas.v5i2.3350

Perkembangan teknolgi infromasi saat ini yang serba digitalisasi mendorong UMKM Fitri Mutiara Lombok dalam memasarkan produk UMKM nya secara online. Menurunnya penjualan secara langsung yang salah satu disebabkan terjadinya pandemic covid 19 mendorong pengabdi dalam membantu UMKM untuk memasarkan secara online. Kegiatan ini dilakukan bertujuan untuk membantu UMKM Fitri Lombok dalam memasarkan penjualan mutiaranya secara online atau e-Comers agar dapat meningkatkan penjualan. PKM ini menghasilkan sebuah aplikasi pengjuan online atau disebut juga dengan e-comers. Dengan e-comers yang telah di bangun dapat membantu UMKM Fitri Mutiara Lombok dalam meningkatkan produktifitas dalam hal penjualan yang biasanya dilakukan secara ofline tetapi juga bias secara online

Optic Disk Segmentation Using Histogram Analysis Bambang Krismono Triwijoyo
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

In the field of disease diagnosis with ophthalmic aids, automatic segmentation of the retinal optic disc is required. The main challenge in OD segmentation is to determine the exact location of the OD and remove noise in the retinal image. This paper proposes a method for automatic optical disc segmentation on color retinal fundus images using histogram analysis. Based on the properties of the optical disk, where the optical disk tends to occupy a high intensity. This method has been applied to the Digital Retinal Database for Vessel Extraction (DRIVE)and MESSIDOR database. The experimental results show that the proposed automatic optical segmentation method has an accuracy of 55% for DRIVE dataset and 89% for MESSIDOR database

Visualization of Gastric Acid Reflux Using Mobile-Based Augmented Reality Ahmat Adil; Bambang Krismono Triwijoyo; Miftahul Madani; Lalu Riyandi Damar
International Journal of Engineering and Computer Science Applications (IJECSA) Vol 1 No 2 (2022): September 2022
Publisher : Universitas Bumigora Mataram-Lombok

Interactive information media has many benefits in the process of conveying information, one of which is by visualizing objects in real time. Socialization activities at the Rensing Health Center in conveying information on gastric diseases still do not use visual aids as a medium for delivering counseling. Therefore, this study aims to develop information media in the form of an android application by utilizing Augmented reality (AR) technology to show the stomach acid process in real time which is visualized in the form of 3D animation. The method used in application development is Multimedia Development Life Cycle (MDLC). Where this method consists of 6 (six) stages of development, namely concept, design, Material Collecting, Assembly, testing and distribution. The results of this study are a visualization application of gastric acid reflux using mobile-based augmented reality built using Unity 2017.3.1f1 and the Vuforia Software Development Kit (SDK), with several stages of the process, namely entering the database and all assets into unity, lighting, creating a user interface, scripting and finally build the application to the android platform Based on the results of application trials that have been carried out at the Rensing Health Center, it shows that mobile-based augmented reality has succeeded in assisting officers in visualizing gastric acid reflux. The satisfaction of health officers in using the application can be seen from the results of the questionnaire to the respondents, where the results of the questionnaire 32% stated strongly agree, 59% agreed, 6% disagreed and 2% disagreed.

Deep Learning Approach For Sign Language Recognition Bambang Krismono Triwijoyo; Lalu Yuda Rahmani Karnaen; Ahmat Adil
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i1.25051

Sign language is a method of communication that uses hand movements between fellow people with hearing loss. Problems occur when communication between normal people with hearing disorders, because not everyone understands sign language, so the model is needed for sign language recognition. This study aims to make the model of the introduction of hand sign language using a deep learning approach. The model used is Convolutional Neural Network (CNN). This model is tested using the ASL alphabet database consisting of 27 categories, where each category consists of 3000 images or a total of 87,000 images of 200 x 200 pixels of hand signals. First is the process of resizing the image input to 32 x 32 pixels. Furthermore, separating the dataset for training and validation respectively 75% and 25%. The test results indicate that the proposed model has good performance with a value of 99% accuracy. Experiment results show that preprocessing images using background correction can improve model performance.

Implementasi Spasial Algoritma Harvesine pada Mapbox API Untuk Pemetaan Pariwisata Ahmat Adil; Bambang Krismono Triwijoyo
Jurnal Bumigora Information Technology (BITe) Vol 5 No 1 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i1.2874

Background: Lombok is one of the tourist destinations in West Nusa Tenggara (NTB) Province, which has various kinds of tourist destinations. Before the Covid 19 pandemic, the number of tourist visits to NTB, especially the island of Lombok, increased every year.Objective: This study aimed to implement the haversine algorithm in finding and determining the closest route to tourist destinations on Lombok Island to make it easier for tourists to choose their intended location to make the tourism sector grow again after the impact of covid 19.Methods: Geolocation concept with harvesine algorithm formula.Result: The research results are the output of the Mapbox api implementation application in the form of a geographical map of the island of Lombok by displaying spatial data of tourism locations, as well as the paths traversed to reach the intended tourist sites accompanied by the distance and time needed to reach them. The level of user satisfaction with the applications built is 87,62%.Conclusion: This research results in user satisfaction in finding information, location, and paths that can be reached to tourist sites.

Menentukan Stok Produk Berdasarkan Pola Pembelian Konsumen dengan Algorithma Apriori Ahmat Adil; Ni Wayan Yuli Ariyanti; Bambang Krismono Triwijoyo
SATIN - Sains dan Teknologi Informasi Vol 7 No 2 (2021): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Dalam persaingan dunia usaha, perusahaan yang bergerak dibidang jasa memerlukan inovasi untuk memuaskan dan memenuhi kebutuhan pelanngan. Peruhasahaan yang menyediakan berbagai jenis produk, memerlukan pengetahuan dengan menggunakan algorithma apriori untuk mengidentifikasi produk yang disediakan mana yang paling diminati atau kurang diminati supaya dapat mengatur persediaan stok produk. Output yang didapat berupa hitungan sebagai batasan minimum support 35% dan minimum confidence 65% menghasilkan 7 aturan data transaksi penjualan (contoh kasus tahun 2019). Dengan contoh berikut yaitu dalam penerapan kasus yaitu suatu rules yang terbentuk konsumen dengan pembelian susu senilai support 36,66% dan nilai confidence 96,15% dengan lift ratio 1,09, karena membeli tisu dan diapers, hal ini menunjukan adanya relasi yang sangat kuat antara item atau adanya hubungan yang positif, yang pada akhirnyadiberikan rekomendasi kepada manajemen bahwa pola pembelian konsumen ditentukan persediaan stok produk.

Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration Dadang Priyanto; Bambang Krismono Triwijoyo; Deny Jollyta; Hairani Hairani; Ni Gusti Ayu Dasriani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3061

Earthquake research has not yielded promising results because earthquakes have uncertain data parameters, and one of the methods to overcome the problem of uncertain parameters is the nonparametric method, namely Multivariate Adaptive Regression Splines (MARS). Sumbawa Island is part of the territory of Indonesia and is in the position of three active earth plates, so Sumbawa is prone to earthquake hazards. Therefore, this research is important to do. This study aimed to analyze earthquake hazard prediction on the island of Sumbawa by using the nonparametric MARS and Peak Ground Acceleration (PGA) methods to determine the risk of earthquake hazards. The method used in this study was MARS, which has two completed stages: Forward Stepwise and Backward Stepwise. The results of this study were based on testing and parameter analysis obtained a Mathematical model with 11 basis functions (BF) that contribute to the response variable, namely (BF) 1,2,3,4,5,7,9,11, and the basis functions do not contribute 6, 8, and 10. The predictor variables with the greatest influence were 100% Epicenter Distance and 73.8% Magnitude. The conclusion of this study is based on the highest PGA values in the areas most prone to earthquake hazards in Sumbawa, namely Mapin Kebak, Mapin Rea, Pulau Panjang, and Pulau Saringi.

Penerapan Aplikasi Pelayanan Samsat Keliling pada UPTB-UPPD Gerung Adil, Ahmat; Triwijoyo, Bambang Krismono; Pribadi, Agus; Saputri, Dian Syafitri Chani; Fahly, Moh. Rizky
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v4i1.2871

Public service is an activity or a series of activities in the context of fulfilling service needs in accordance with statutory regulations. One form of public service that is carried out is the vehicle tax service known as Sistem Administrasi Manunggal Satu Atap (SAMSAT) service. The method used in implementing this application uses 2 stages, namely implementation, and evaluation. At the discussion stage, it contains an explanation as implementation material for the application used. This section contains interfaces in the form of input and output applications. These interfaces are the material for socialization to participants. Besides the interface, this section also discusses the database used. Based on the results of the socialization and evaluation that has been carried out, it is concluded that the implementation of the application is very helpful for officers in carrying out their work.

Implementasi Perangkat Lunak Deteksi Penyakit Retinopati Hipertensi Di Polimata Rumah sakit Umum Provinsi Nusa Tenggara Barat Triwijoyo, Bambang Krismono; Adil, Ahmat; Zulfikri, Muhammad; Widyawati, Lilik; Titik Ceriyani Miswaty; Elyakim Nova Supriyedi Patty
Jurnal Pengabdian kepada Masyarakat IPTEKS Vol. 2 No. 1 (2024)
Publisher : Rajawali Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Hypertensive retinopathy is a type of eye disease where microvascular changes occur in the retina experienced by high blood pressure sufferers. The arterial and venous ratio (AVR) in the retina of the eye is an indicator used to determine the presence of high blood pressure, which is measured by the ratio of the width of the retinal arteries and veins. Traditionally, ophthalmologists use fundus images or retinal images of the eye to diagnose hypertensive retinopathy's physical symptoms and determine the phase of evolution. Still, traditional methods have limitations because, in the case of borderline stages, the early symptoms of hypertensive retinopathy will be difficult to identify manually, so they are often ignored. Referring to these problems, early diagnosis is needed for accurate prevention and treatment of hypertensive retinopathy. Based on the abovementioned issues, this service activity aims to implement a hypertensive retinopathy disease detection model using a local dataset from a regional general hospital in West Nusa Tenggara (NTB). It will compare the model detection results with those of three eye disease experts. Classification model testing results using the Messidor training and NTB Regional Hospital datasets. In models using the Messidor training dataset, the highest accuracy is a comparison with the results of the most senior expert's observations. The results of the classification model are only a tool to assist ophthalmologists in diagnosing hypertensive retinopathy, while the final decision remains with the expert or ophthalmologist.

Co-Authors Agus Pribadi, Agus Aguswandi, Lalu Heri Ahmat Adil Andi Sofyan Anas Anthony Anggrawan Ayu Dasriani, Ni Gusti Azhar, Raisul Christopher Michael Lauw Dadang Priyanto Deny Jollyta Dian Syafitri Chani Saputri Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Ervina Farijki Fahly, Moh. Rizky Galih Hendro Martono Hairani Hairani Hariri, Muhammad Husain Husain Kartarina, Kartarina Lalu Riyandi Damar Lalu Yuda Rahmani Karnaen Lilik Widyawati Martono, Gallih Hendro Mayadi Mayadi Miftahul Madani Miswaty, Titik Ceriyani Muhammad Haris Nasri Ni Wayan Yuli Ariyanti Risca Anggraeni Dwiputri Santoso, Heroe Sirojul Hadi Tajuddin, Muhammad Tomi Tri Sujaka Zulfikri, Muhammad

Title

Found 26 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 26 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 26 Documents
Search