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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Buletin Udayana Mengabdi Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pekommas Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Information Technology and Its Utilization Majalah Ilmiah Teknologi Elektro Journal of Information Technology and its Utilization
G M Arya Sasmita
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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RANCANG BANGUN SISTEM INFORMASI KEMITRAAN AYAM BROILER PADA PERUSAHAAN SENTRAL UNGGAS BALI BERBASIS WEB Igst. Md. Arya Sasmita S.T, M.T; I Md. Agus Ana W. M.Ti; I Gst Putu Agus Wawan Adi Putra
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 1, No. 1 Desember 2010
Publisher : Institute for Research and Community Services, Udayana University

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Abstract

Perusahaan Sentral Unggas Bali merupakan salah satu perusahaan kemitraan yang bergerak di bidang peternakan ayam boiler. Perusahaan peternakan ayam boiler ini mengalami masalah terutama dibidang peritungan panen, SHU dan monitoring pemeliharaan dikarenakan data yang diminta harus cepat, tepat, dan akurat. Jarak peternak yang berada diseluruh pelosok Bali mengakibatkan pegawai perusahaan harus bekerja ekstra keras demi memenuhi laporan perusahaan yang harus di data serba cepat dan akurat. Untuk menyelesaikan masalah diatas maka didesain dan di implementasikan system baru guna memenuhi kebutuhan perusahaan secara cepat dan akurat. System di desain menggunakan Data Flow Diagram (DFD) dan Entity Relationship Diagram (ERD) dan diimplementasikan dengan menggunakan My SQL dan HTML,PHP dan Java Script. System yang dibuat meliputi proses registasi peternak baru, monitoring perkembangan ayam, pengiriman pakan, bibit, obat, panen, pembelian bibit, obat, pakan perusahaan dan pembuatan laporan stock masing-masing gudang perusahaan. System yang saya buat mudah-mudahan dapat mengatasi permasalahan-permasalahan yang di hadapi diatas, sehingga memudahkan bagi pihak perusahaan dalam implementasinya.
Rancang Bangun Aplikasi Tryout Ujian Nasional Sekolah Menengah Pertama (SMP) Berbasis Android Mentari Harmadya; Gusti Made AryaSasmita; Ni Kadek Ayu Wirdiani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 6, No.2 Agustus 2015
Publisher : Institute for Research and Community Services, Udayana University

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Abstract

Evaluation of learning outcomes focus on the National Examination aims to assess the achievement of students of junior high school nationally in Indonesian Language, Mathematics, English and Science. Tryout activities held to train students in answering the questions of the National Exam. This study aims to create an application National Exam Tryout for Android. The development of this application using hybrid application development with a website as a back-end system and an Android applications as a front-end system that works like a client-server process on a computer network. Tryout types that exist in this application adjusting to Tryout conventional with added features with more and varied question.Based on the results of application testing followed by 30 students of Junior High School, the results of the Tryout application for Android is appropriate and declared eligible with 93% percentage to be used as tools to help students of Junior High School in preparation for the National Exam.
A Prototype of Monitoring and Early Warning System of Public Water Flow Interference based on Arduino, Firebase Realtime DB, and Android I Putu Arya Dharmaadi; Dewa Made Sri Arsa; Gusti Made Arya Sasmita
Jurnal Pekommas Vol 6, No 2 (2021): Oktober 2021
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2021.2060223

Abstract

The majority of the population uses clean water sourced from the PDAM (Indonesian Regional Water Supply Company) pipeline to meet their daily needs. However, clean water utilization is sometimes not smooth because the upstream's water supply is stalled or the PDAM pipeline disrupted. This disruption that often occurs slowly causes routine community activities, such as bathing or cooking, become stop because clean water is a basic need. Thus, a system is needed to provide early warning when the PDAM water supply starts to have problems so that the community can make initial anticipation. This study designed a prototype of an early warning system using an Arduino-based water flow sensor that records water flow discharge data on the PDAM pipeline and sent to the Firebase Realtime Database to be monitored in real-time through an Android application. The system testing is done by black-box testing, i.e. we check all functions of this system, mainly on sending a warning notification when the water flow debt is at a low rate. In the end, by using this system, the user can prepare themselves early, such as collecting residual water debit in the tub and save water when there is a disruption in PDAM water.
Application Design of the Medicines Usage Prediction Based on Backpropagation Neural Network Method and PHP I Putu Arya Dharmaadi; Gusti Made Arya Sasmita
Journal of Information Technology and Its Utilization Vol 2, No 2 (2019)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.2.2.2537

Abstract

The development of information technology makes many organizations utilizing it in their business process. For example, hospitals use certain information systems in medicine management. We observe that most medicines applications do not provide the drug usage prediction feature so that this situation causes the hospital staff being difficult in providing enough medicines. Therefore, in this experimental research, we developed an application in the form of a simple design for helping the hospitals in predicting daily medicine usage. This application also provides medicines stock management and doctor diagnosis features. The Brainy library is used to facilitate implementing the backpropagation neural network method in PHP programming language. We choose PHP because this server script is widely used in information system development. We demonstrated that the mock-up as the result of this development is able to work properly. For further study, we suggest expanding this mock-up become a full hospital information system that covers many functions in medical centers.
Video Streaming Data Security Using AES-Rijndael Algorithm Zebedeus Cheyso; I Made Agus Dwi Suarjaya; Gusti Made Arya Sasmita
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.32989

Abstract

Keamanan merupakan salah satu aspek yang paling penting dalam jalannya proses pertukaran informasi di masa ini. tidak semua informasi yang dipertukarkan dapat diperbolehkan menjadi konsumsi publik apalagi jika jatuh ke tangan pihak yang tidak bertanggung jawab yang dapat mengubah, memanipulasi dan menyebarkan informasi tersebut tanpa izin. Salah satu bentuk informasi yang perlu dilakukan langkah pengamanan ialah data video streaming. Metode enkripsi adalah pilihan yang paling tepat untuk mengamankan kerahasiaan data tersebut. Enkripsi merupakan sebuah ilmu untuk mengkonversikan sebuah data menjadi bentuk yang tidak dapat dimengerti guna menyembunyikan informasi yang hanya dapat diakses oleh pihak yang berhak. Penelitian ini memanfaatkan algoritma enkripsi AES-Rijndael untuk mengamankan data dan informasi dari video streaming yang dilakukan antara client dan server dengan memanfaatkan protokol transmisi RTP dan RTSP dalam kontrol alur media, enkripsi AES-Rijndael akan digunakan untuk mengubah data dari format file video berekstensi Mjpeg. Algoritma AES-Rijndael mampu mengamankan data dan informasi video dengan baik, ketika client memasukan kunci dekripsi yang berbeda, frame video yang dikirimkan dari server tidak dapat didekripsi dan ditampilkan secara utuh. Pengujian hashing SHA-256 dilakukan pada 25 dan 50 frame dari video untuk mengecek keaslian data berjalan dengan baik tanpa ada perubahan pada data frame yang dikirimkan.
Analysis of Public Sentiment Towards Goverment Efforts to Break the Chain of Covid-19 Transmission in Indonesia Using CNN and Bidirectional LSTM Gusti Agung Mayun Kukuh Jaluwana; Gusti Made Arya Sasmita; I Made Agus Dwi Suarjaya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (883.246 KB) | DOI: 10.29207/resti.v6i4.4055

Abstract

COVID-19 is a new disease that has a negatively impacts in Indonesia, so the government is taking several measures to suppress the spread of COVID-19, such as new normal, social distancing, health protocols fines, and COVID-19 vaccination. The government's handling efforts have reaped a variety of negative to positive responses from the public on social media, so this study aims to determine the effectiveness of the government's efforts by analyzing public sentiment using the Deep Learning method with 1,875 training datasets consisting of four types government efforts and taken from various media social. The use of Deep Learning begins with testing several Deep Learning architectures to determine the best architecture for predicting data. The architectures tested include CNN and Bi-LSTM, where from these tests, Bi-LSTM outperforms CNN with the best performance achieving the accuracy of 97.34% and 97.33% for precision, recall, and F1-score. The results of public sentiment analysis show that social distancing efforts are considered the most effective by obtaining the most positive sentiments by 33.93%, while the effort to health protocol fines is considered lacking because it obtains the most negative sentiment of 35.64%, so the government must continue to enforce social distancing and optimize other efforts that are still considered ineffective.
Analisis Usability BPRGianyar.com Menggunakan Heuristic Evaluation dan Pendekatan Human-Centered Design I Putu Aris Richard Hernanda; Dwi Putra Githa; Gusti Made Arya Sasmita
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.2756

Abstract

BPR Gianyar Partasedana is a people's credit company that focuses on small businesses in the Gianyar Region it has a website containing various information on financial services. Since the website was first created, no evaluation has been carried out to determine user satisfaction and problems with the website. Usability evaluation on the user interface needs to be done in order to find out how users interact when using the website and find usability problems. The method used to conduct the test is Heuristic Evaluation, the analysis is carried out by interviews and questionnaires to obtain user data, and research samples are taken from customers or people who have used the BPR Gianyar website. Evaluation of the initial interface design shows usability problems with category 3 (major usability problem) so there are problems with the main usability. The Human-Centered Design approach is used as a basis for providing recommendations, the evaluation results on recommendations for interface design improvements show a decrease in the value of usability problems from category 3 to category 1 (cosmetic problem) so that it is better and there are no problems that interfere with the usability of the system. Keywords—Website, Usability, Heuristic Evaluation, Human-Centered Design
Sistem Tiket Digital berbasis Telegram untuk Mengelola Pembayaran Biaya Pedagang Pasar I Putu Arya Dharmaadi; Dewa Made Sri Arsa; I Gusti Made Arya Sasmita
Techno.Com Vol 21, No 4 (2022): November 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i4.6877

Abstract

Pasar tradisional umumnya memiliki skema pembayaran yang unik kepada para pedagang yang berjualan. Setiap tahun mereka dikenakan biaya sewa lapak, setiap bulan membayar biaya listrik, dan setiap hari dikenakan iuran harian, seperti iuran kebersihan, iuran air, dan lain sebagainya. Petugas pemungut pembayaran umumnya membawa setumpuk karcis yang akan diberikan apabila pedagang melunasi kewajibannya. Penggunaan karcis konvensional sebagai tanda bukti pembayaran tersebut memiliki beberapa kelemahan, seperti misalnya sulitnya memantau dan mengelola data pembayaran, baik dari sisi pimpinan pasar maupun dari sisi pedagang pasar. Selain itu, karcis sering kali dibuang-buang sehingga akan menimbulkan sampah. Oleh karena itu, dibutuhkan sistem karcis digital sebagai bukti transaksi pembayaran iuran. Dengan sistem ini, petugas pemungut iuran yang menerima uang dari pedagang wajib memasukkan data transaksi ke sistem sehingga sistem ini akan mengirimkan karcis digital ke akun telegram pedagang pasar yang sudah didaftarkan. Pedagang pasar bisa melihat riwayat pembayarannya secara lengkap melalui karcis digital tersebut. Pada akhirnya, pengelola pasar bisa memantau data pembayaran pedagang pasar dengan mudah untuk meminimalkan kebocoran pendapatan.
Analisa Pola Belanja Konsumen serta Prediksi Stok Barang Berbasis Web I Made Dwi Cahaya Putra; Gusti Made Arya Sasmita; Ni Kadek Dwi Rusjayanthi
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 3 (2023): Volume 9 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i3.67154

Abstract

Data mining merupakan teknik pengolahan data dalam jumlah besar menggunakan berbagai algoritma serta sistem untuk menghasilkan sebuah informasi yang berguna. Tujuan dari penelitian ini adalah untuk membuat sebuah sistem berbasis web dengan mengimplementasikan teknik data mining yang dapat digunakan dalam mempermudah melakukan asosiasi terhadap barang dan prediksi stok barang. Penelitian ini dilakukan dengan menggunakan dua metode asosiasi yaitu dengan algoritma FP-Growth dan apriori serta dua metode prediksi yaitu dengan algoritma regresi linier dan Support Vector Regression (SVR). Proses asosiasi dari 2658 data transaksi menggunakan metode FP-Growth dan apriori sama-sama menghasilkan jumlah aturan asosiasi berdasarkan nilai minimum support dan confidence yang sama. Proses prediksi 10 jenis barang menggunakan regresi linier dan SVR menghasilkan tingkat akurasi yang berbeda-beda tiap produknya sehingga metode dengan akurasi tertinggi dipilih pada setiap produk. Rata-rata tingkat kesalahan prediksi dengan MAPE dari 10 produk menggunakan metode regresi linear sebesar 12,09% sedangkan metode SVR sebesar 11,51%, sehingga metode SVR memiliki akurasi yang lebih baik untuk diterapkan pada Timbul Jaya Petshop. Hasil dari asosiasi dan prediksi dapat dimanfaatkan untuk merancang strategi bisnis kedepannya. 
SARIMA with Sliding Window Implementation for Forecasting Seasonal Demand Data Made Rama Pradipta; Gusti Made Arya Sasmita; Anak Agung Ngurah Hary Susila
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 1 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i1.59971

Abstract

Demand forecasting is an essential part of business process management. A comparison of methods is needed to get the best model to provide good forecasting results. Difficulties in meeting consumer demands and predicting these requests using demand data at companies CV. ABCD is the main problem in this research. The SARIMA and decomposition methods are used for comparison and search for the best model before forecasting. SARIMA  with a windowing size of 56, indicating the smallest MAPE value of 3,91%. The value <10%, so it can be said to produce an excellent forecasting value. Forecasting results with SARIMA  show a meeting between actual and forecasting data in 2022. Therefore, it can be said the forecasting results for 2023 and 2024 can be used as a reference for the company CV. ABCD to meet customer demand and avoid stock shortages.
Co-Authors Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Ngurah Hary Susila Andika Pradita Putera Arsa, Dewa Made Sri Ayu Wirdiani Cardian Althea Stephanie Lahallo Dwi Putra Githa Dwi Rusjayanthi, Dwi Eka Candyasa Pratyaswara Gede Haris Premana Wibawa Gede Sukadarmika Gerlan A Manu Gusti Agung Ayu Putri Gusti Agung Mayun Kukuh Jaluwana Gusti Ngurah Sanditya Riantama I Dewa Nym. Nurweda P., I Gede Ary Suta Sanjaya I Gede Nengah Bayu Darmawan I Gst Putu Agus Wawan Adi Putra I Gusti Agung Sagotri Mahadewi I Gusti Ngurah Indra Saputra I Gusti Ngurah Made Putra Eryawan I Ketut Adi Purnawan I ketut Gede Darma Putra I Made Agus Dwi Suarjaya I Made Dwi Cahaya Putra I Made Sukarsa I Made Sunia Raharja I Made Sunia Raharja I Made Sutha Negara I Md. Agus Ana W. M.Ti I Nengah Simpen I Nyoman Adi Wardiana I Nyoman Piarsa I Putu Agung Bayupati I Putu Aris Richard Hernanda I Putu Arya Dharmaadi I Putu Cahya Prawira I Putu Indra Permana I Wayan Dharma Satriawan I.Gst. Agung Bagus Mega Putra Ida Ayu Putu Wipra Astiti Ida Ayu Shinta Dewi Paramitha Imelda Rizky Purba Kadek Adi Praptha Kadek Suar Wibawa Lady Hasiani Siahaan Lie Jasa Linawati Linawati Made Bagus Winanda Radityatama Made Rama Pradipta Mentari Harmadya Nyoman Putra Sastra Putu A Bayupati Putu Eka Suputra Putu Wira Buana Setyo Hadi Kusumo Veranita Lamrotua Sihombing Yulius C. N. Bless Zebedeus Cheyso