cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ali Firdaus
Contact Email
alifirdaus1970@gmail.com
Phone
+6281368612779
Journal Mail Official
jurnal.jupiter@polsri.ac.id
Editorial Address
Dewan Editor Editor-in-chief Ali Firdaus, Teknik Komputer, Politeknik Negeri Sriwijaya, Indonesia Managing Editor M. Miftakul Amin Section Editors Slamet Widodo, (Scopus ID=57202841454, Scopus H-Index=2), Teknik Komputer, Politeknik Negeri Sriwijaya, Palembang Adi Sutrisman, (Scopus ID=57201578740, Scopus H-Index=2), Teknik Komputer, Politeknik Negeri Sriwijaya, Palembang Ervi Cofriyanti, (Scopus ID=55848102300, Scopus H-Index=2), Teknik Komputer, Politeknik Negeri Sriwijaya, Palembang, Indonesia Ikhthison Mekongga, (Scopus ID=57194067236; Scopus h-index=1), Teknik Komputer, Politeknik Negeri Sriwijaya, Palembang, Indonesia Yulian Mirza, Teknik Komputer, Politeknik Negeri Sriwijaya, Indonesia Ema Laila, Teknik Komputer, Politeknik Negeri Sriwijaya, Indonesia Mustaziri ,, Teknik Komputer, Politeknik Negeri Sriwijaya, Indonesia Isnainy Azro, Teknik Komputer, Politeknik Negeri Sriwijaya, Indonesia Peer-Reviewers (Mitra Bestari) Muhammad Rahmat Widyanto, (Scopus ID=8921529200, Scopus H-index=6)Ilmu Komputer, Universitas Indonesia, Indonesia Admi Syarif, (Scopus ID=6508046463, Scopus H-index=6), Universitas Lampung, Lampung Andino Maseleno, (Scopus ID=55354910900, Scopus H-index=6), STMIK Pringsewu, Lampung Edy Winarno, (Scopus ID=56049606100, Scopus H-index=3), Universitas STIKUBANK, Semarang Joko Triloka, (Scopus ID=56401829500, Scopus H-index=2), IIB Darmajaya, Lampung Thamrin Latief, Universitas Sriwijaya, Indonesia Herlambang Saputra, Teknik Komputer, Politeknik Negeri Sriwijaya
Location
Kota palembang,
Sumatera selatan
INDONESIA
Jupiter
Published by Politeknik Negeri Sriwijaya
ISSN : 20852029     EISSN : 2622609X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science
Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System Distributed System Computer & Network Security Cloud Computing Cryptography Human Computer Interaction Speech Processing Natural Language Processing Pervasive Computing Social Media Semantic Web Technologies Game & Multimedia Proses Peer Review Artikel yang masuk ke dalam Jurnal JUPITER akan dilakukan review oleh editor dalam gaya selingkungnya dalam waktu sekitar maksimal 1 minggu. Dari proses review format maka akan dilanjutkan dengan proses review oleh tim reviewer Jurnal JUPITER. Dalam hal ini membutuhkan waktu sekitar 1 minggu - 2 bulan. Proses review artikel menggunakan Double Peer Review. Jika artikel dinyatakan Diterima, maka penulis tidak perlu untuk melakukan revisi. Namun jika artikel dinyatakan Diterima dengan perbaikan, penulis harus memperbaiki artikel sesuai dengan hasil review dan mengembalikan ke tim redaksi melalui OJS Jurnal JUPITER dalam kurun waktu 1 - 2 minggu. Sejarah Jurnal Jurnal Jupiter merupakan jurnal yang diterbitkan oleh Jurusan Teknik Komputer Politeknik Negeri Sriwijaya. Penerbitan jurnal ini bertujuan sebagai wahana komunikasi dan informasi ilmiah dalam bidang komputer yang diharapkan dapat membantu para dosen, peneliti, mahasiswa, dan para stakeholder untuk mempublikasikan hasil penelitian dan kajian ilmiah yang telah berhasil dilakukan. Sehingga hasilnya dapat dikonsumsi oleh berbagai komunitas ilmiah di seluruh Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 424 Documents
 10   11   12   13   14 
Perancangan Sistem Informasi Berbasis Web pada Puskesmas Sirah Pulau Padang Dedi Haryanto; Muhammad Ikhsan Saputra; Muhammad Ihsan
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4656/5.jupiter.2022.04

Abstract

The Community Health Center is one of the health service organizations that always strives to achieve efficiency and effectiveness of services to the community, so it takes a supporting facility for processing website-based information system data that can provide information quickly and accurately, but the Sirah Pulau Padang Public Health Center is in the process of processing information systems that provide accurate information. in Sirah Pulau Padang Health Center, they still use the manual method by using paper as a processing tool so that various problems eventually emerge. Such as the difficulty of controlling user data information, poly data, patient data and patient visit data, inventory of information caused by human error, the process of finding patient data becomes long and less accurate due to the accumulation of paper containing data, and due to the nature of paper that is easily damaged, it is very possible for data loss to occur. The formulation of the problem in this study is the risk of inaccurate data caused by human error in the data recording process, the risk of data loss caused by the nature of paper that is easily damaged, and the slow data search process. This study used qualitative research methods. So the author made a website to support the performance of the Padang Island Sirah Health Center, based on the results of research conducted at the Sirah Pulau Padang Health Center with the title Web-Based Information System Design at the Padang Island Sirah Health Center, it can be concluded that this study succeeded in creating an information system using the website method.
Penerapan Pembelajaran Logika Fuzzy pada Robot Penghindar Rintangan Renny Maulidda; Selamat Muslimin; Hidayati Ami
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4657/5.jupiter.2022.04

Abstract

The design of the obstacle avoidance robot prototype uses the fuzzy logic control method which is made for learning facilities and implementing intelligent systems. This obstacle avoidance robot can be applied to a security system, which is effective in providing safety for drivers and passengers of motorized vehicles, because this robot is designed to avoid all obstacles in its path. This obstacle avoidance robot is designed based on an Arduino Uno microcontroller with navigation using an ultrasonic sensor HC-SR04 attached to a servo motor. The actuators used are 2 DC motors and programming using Arduino software by implementing fuzzy logic control to measure the distance read by the sensor and the robot can determine the direction of the next movement. So that after testing, the results obtained that the robot can be implemented as expected.
Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Dana Desa Menggunakan Metode Algoritma K-Means Clustering Sarmila Sari; Joy Nashar Utamajaya
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4666/5.jupiter.2022.04

Abstract

Desa Sesulu adalah salah satu desa yang menyalurkan program Bantuan Langsung Tunai Dana Desa (BLT-DD). Program Bantuan ini dikeluarkan pemerintah melalui anggaran dana desa yang diberikan kepada keluarga kurang mampu berupa pemberian dana tunai dalam mengatasi pemulihan ekonomi nasional akibat pandemi Covid-19.Akan tetapi,Berdasarkan hasil evaluasi pelaksanaan penyaluran bantuan pada tahun 2020 sampai tahun 2021,terdapat masalah penyaluran bantuan karena terdapat kerumitan dalam pengolahan data untuk menentukan masyarakat  yang menjadi prioritas utama penerima bantuan dari banyaknya masyarakat yang mengusulkan untuk mendapatkan bantuan. Metode K-Means Clustering merupakan salah satu metode pengelompokkan data yang dapat digunakan sebagai sistem pendukung pengambilan keputusan dari data yang berukuran besar. Berdasarkan hasil pengolahan data dengan Rapidminer studio versi 9.10 terdapat 185 data yang termasuk cluster 1 dengan status penerima bantuan sosial tidak tepat sasaran, 61 data yang termasuk cluster 2 dengan status penerima bantuan sosial dipertimbangkan, dan 90 data yang termasuk cluster 3 dengan status penerima bantuan sosial tepat sasaran.  
Rancang Bangun Alat Keamanan Pintu Rumah Berbasis Internet of Things dan Kartu RFID nur wakhid fauzan; zuly budiarso
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4667/5.jupiter.2022.04

Abstract

Penelitian ini dilatar belakangi permasalahan keamanan yang semakin rawan terhadap pencurian didalam rumah dan seringnya pemilik rumah lupa untuk mengunci pintu saat meninggalkan rumah, pemanfaatan internet yang dipadukan dengan microcontroller Arduino uno dan kartu Rfid dapat melakukan penguncian jarak jauh dengan metode IOT(internet of thing) dan hanya pemegang kartu Rfid yang dapat membuka kunci dengan metode scanning.     Kata kunci—Internet, Microcontroller, Internet of Thing
Penerapan Data Mining Menggunakan Metode K-Means Clustering Untuk Analisa Penjualan Toko Myam Hijab Penajam Gita Aprilianur; Elvin Leander Hadisaputro
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 1 (2022): jupiter April 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4684/5.jupiter.2022.04

Abstract

Myam Hijab shop is a store that specializes in selling hijab, but of the various hijabs that are sold, of course, not all of them sell, some do not. Sales data, purchases of goods and unexpected expenses in Myam Hijab are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using the K-Means method. at the Myam Hijab shop. The K-Means method can be applied to the Myam Hijab Store to find out which hijab sales are selling, selling and not selling. The application of the K-Means method at this Myam shop is by grouping hijab stock data. Then select 3 random groups as the initial centroid. After the data for each group did not change, it was seen that in the end there were 24 products that were selling well, 59 products that were selling well, and 17 products that were not selling well. Then, the application of the K-Means method on Rapidminer is done by entering product stock data, namely initial stock, sold stock and ending stock, which will be converted into a database in Ms.Excel, the data will be connected to Rapidminer Tools and processed. and form K-means. After that, Rapidminer will produce which products are in high demand, high demand, and low demand.
Penerapan Metode Naive Bayes Dalam Mengklasifikasi Penerima BLT Pada Desa Pelangsian ica warisa; Nurahman
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4702/5.jupiter.2022.10

Abstract

Abstrak   Pada proses penelitian ini data bantuan tunai langsung (BLT) yang berhubungan pada penerima manfaat bantuan yang sudah dilaksanakan pada Desember 2021. Tetapi bantuan tersebut ada juga yang tidak sesuai harapan masyarakat karena disebabkan status rakyat miskin yang tidak maksimal. Penelitian ini bertujuan untuk menganalisis bantuan tunai langsung (BLT) pada desa PELANGSIAN disalurkan melalui kelurahan desa agar masyarakat yang tidak mampu mendapatkan bantuan, dan membantu rakyat miskin menanggulangi ketidak seimbangan atara desa kedesa. Dalam mengklasifikasi penerima bantuan ini maka penulis menggunakan metode naive bayes untuk menganalisis probabilitas dalam suatu objek yang termasuk dalam atribut kelas di dalam algoritma tersebut maka penelitian ini menggunakan software rapidminer untuk menghitung tingkat accuracy data. Dan hasil analisis menggunakan software rapidminer dengan metode naive bayes tingkat akurasi yang di dapat 83.67%. Pada prediksi terdaftar sekitar 26 data orang yang “terdaftar”, true tidak terdaftar prediksinya 7 data orang yang “tidak terdaftar” dan jumlah class precision terdaftar adalah 78.79% serta jumlah class recall nya 74.29%, dan pada perdiksi tidak terdaftar true terdaftarnya 9 orang yang “terdaftar” dan 56 data orang” tidak terdaftar” pada prediksi tidak terdaftar, jumlah class precision 86.16%. Serta jumlah class recall nya 88.88%. Dan nilai yang didapatkan pada accuracy 83.67%, precision 78.79% dan recall 74.29%. Selain di uji dengan software rapidminer. Dan itulah hasil yang penulis dapatkan pada saat menganalisis probabilitas angka yang didapatkan pada saat mencari tingkat akurasi data serta proses di dalam menggunakan metode naive bayes. Kata kunci : metode naive bayes, bantuan tunai langsung (BLT).   Kata kunci— metode naive bayes, bantuan tunai langsung (BLT)
Evaluasi dan Audit Aplikasi Mobile JKN pada BPJS Kesehatan Menggunakan Model TAM dan COBIT 5.0 Rizky Amalia; Wasilah; Rini Nurlistiani
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4734/5.jupiter.2022.10

Abstract

Mobile JKN is an application built by BPJS Kesehatan to use the current use of mobile technology. The JKN Mobile Application is expected to provide convenience for the public in accessing information related to the BPJS service program online. The importance of Mobile JKN services to carry out operational activities must be in optimal conditions. In fact, there are still many things that need to be related to JKN's mobile information technology. The low interest of the people of Bandar Lampung in using the Mobile JKN application. This is indicated by the queue of information request services that are always full at the BPJS office. This condition indicates the need for measuring application acceptance (acceptance) for the community, as well as evaluating the JKN mobile application. This study aims to measure the readiness of BPJS health users in Bandar Lampung to use the JKN BPJS mobile application and build recommendations for improving information technology governance related to the JKN BPJS mobile application. This study uses the TAM (Technology Acceptance Model) analysis model to determine Perceived Usefulness and Perceived Ease of Use, as well as the implementation of information system audits related to IT security risks using Control Objective for Information and Related Technology (COBIT). The results of the research value of benefit (PU) is 62% and convenience is 59%. As for the analysis of the JKN mobile application, the current maturity value and expected maturity are 1.03
Deteksi Tanaman Herbal Khusus Untuk Penyakit Kulit Dan Penyakit Rambut Menggunakan Convolutional Neural Network (CNN) Dan Tensorflow Anefia Mutiara Atha; Eri Zuliarso
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4736/5.jupiter.2022.10

Abstract

Herbal plants are plants with various benefits, one of which can be used to treat diseases naturally, especially skin diseases and hair diseases. Indonesian people are susceptible to skin and hair diseases because Indonesia is a country with a tropical climate. In this modern era, most people are not proficient enough at distinguishing between herbal plants and ordinary plants, which can cause errors in choosing herbal plants. So the researchers specifically made an herbal plant detection system for skin and hair diseases using the Convolutional Neural Network (CNN) model and Tensorflow framework and to help the public recognize herbal plants. The Convolutional Neural Network (CNN) model in this system is used to process two-dimensional data in the form of images. This research uses the Tensorflow framework which functions to run the recognition system. The result of the application test by using the picture of herbal plants can provide the highest accuracy in the sample test reaching 100%, and the average accuracy reaching 93%. So that android-based application is useable to make people easier to identify particular herbal plants for skin and hair diseases.
Klasifikasi Pertanyaan Berbahasa Indonesia Menggunakan Algoritma Support Vector Machine dan Seleksi Fitur Mutual Information syechky al qodrin aruda; Novi Yusliani; Alvi Syahrini
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4796/5.jupiter.2022.10

Abstract

Text classification can be used to organize, arrange and categorize a text. Text classification can be used for all text documents even if a text has a large number of features. However, the large number of features can cause reduced accuracy in the performance results of the classification system because there are some features that have less relevance to a text category. The Mutual Information feature selection method combined with the Support Vector Machine (SVM) algorithm is used to improve performance results in the classification process for Indonesian question documents by eliminating features with weights below the threshold. The results showed that the use of the Mutual Information feature selection method on the SVM classification algorithm was able to produce the best performance with an accuracy value of 0.92, precision: 0.93, recall: 0.89, f-measure: 0.9, computation time: 7 s and number of features: 240. Keywords— Text Classification, Feature Selection, Support Vector Machine, Mutual Information
Tinjauan Literatur Model Penerimaan Teknologi dan Teori pada Aplikasi BRImo terhadap Tingkat Kepuasan Masyarakat Musdalifah
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./4816/5.jupiter.2022.10

Abstract

This study examines how the literature review of the technology acceptance model and theory on the BRImo application is used by the community to determine the level of customer satisfaction they have. This study uses descriptive research, namely research that describes facts, data, and information obtained from literature studies such as books, and journals to research results related to the research topic. In this study, it is explained that BRI has one of the superior products that is used to answer the challenges of advancing technology and information in the realm of finance and banking, namely BRImo or BRI mobile banking. BRImo is a banking service that makes it easy for customers to access banking facilities without having to come to the bank. Based on the technology acceptance model and theory, the use of the BRImo application is divided into three vital elements, namely readiness, perceived usefulness and ease to use, and perceived risk. These three elements affect the BRImo application on customer satisfaction in using BRImo. The results obtained are that BRImo fulfills all the elements in this technology acceptance model with a high value. This is based on facts and data which state that BRImo has a high usability and transaction value in its use. In addition, based on the customer satisfaction index, BRImo got the highest score among the mobile banking applications offered by other commercial banks, which was 81.50%. This data shows that BRImo is a mobile banking application that can answer the challenge of community satisfaction in Indonesia.

Page 12 of 43 | Total Record : 424

 10   11   12   13   14 

Filter by Year

2009 2026


Reset
Filter By Issues
All Issue Vol 18 No 1 (2026): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 17 No 3 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 17 No 2 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 17 No 1 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 15 No 1b (2023): Jupiter Edisi April 2023 Vol 15 No 1d (2023): Jupiter Edisi April 2023 Vol 15 No 1a (2023): Jupiter Edisi April 2023 Vol 15 No 1c (2023): Jupiter Edisi April 2023 Vol 15 No 2 (2023): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER) Vol 14 No 2-c (2022): Jupiter Edisi Oktober 2022 Vol 14 No 2-a (2022): Jupiter Edisi Oktober 2022 Vol 14 No 2-b (2022): Jupiter Edisi Oktober 2022 Vol 14 No 1 (2022): jupiter April 2022 Vol 13 No 1 (2021): JUPITER Vol. 13 No. 1 April 2021 Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021 Vol 12 No 2 (2020): JUPITER Oktober 2020 Vol 11 No 1 (2019): Jupiter April 2019 Vol 10 No 2 (2018): Jupiter Oktober 2018 Vol 10 No 1 (2018): Jupiter April 2018 Vol 9 No 2 (2017): Jupiter Oktober 2017 Vol 9 No 1 (2017): Jupiter April 2017 Vol 8 No 2 (2016): Jupiter Oktober 2016 Vol 8 No 1 (2016): Jupiter April 2016 Vol 7 No 2 (2015): Jupiter Oktober 2015 Vol 7 No 1 (2015): Jupiter April 2015 Vol 2 No 1 (2010): JUPITER APRIL 2010 Vol 1 No 1 (2009): JUPITER APRIL 2009 More Issue