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JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi
Published by Universitas Katolik Musi Charitas
ISSN : 25794116     EISSN : 25795570     DOI : http://dx.doi.org/10.32524/jusitik
Core Subject : Science, Education,
Computer Science & IT Other
Jurnal Sistem dan Teknologi Informasi Komunikasi ini berisikan artikel dari hasil penelitian dengan mengambil topik seputar sistem dan teknologi informasi Komunikasi dan akan diterbitkan satu kali dalam satu tahun dan berbentuk elektronik (ONLINE) dan CETAK (PRINT). Jurnal ini dibawah asuhan program studi sistem informasi fakultas sains dan teknologi pada Universitas Katolik Musi Charitas (UKMC).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 91 Documents
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Analisis Pengaruh Kualitas Informasi, Kualitas Sistem dan Kualitas Layanan Terhadap Kepuasan Pengguna Pada Aplikasi Tokopedia Dengan Model Delone And Mclean Di Kota Palembang Ahmad Muharsyah; Rika Kharlina Ekawati
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 4 No. 2 (2021): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v4i2.505

Abstract

The purpose of this study is to prove that the information quality, service quality, and system quality of the Tokopedia application have an influence on the satisfaction of the Tokopedia application users either partially or simultaneously by using the Delone and Mclean method. This model is used to measure the success of information systems and is known as a simple model but is considered quite valid by researchers. The variables measured in this method are taken from the Delone and McLean models which include information quality, system quality and service quality which are tested to see their effect on user satisfaction. The population in this study are the users of the Tokopedia application in the city of Palembang where the number of samples taken is 100 respondents determined by using the Lemeshow formula. The research method used is a survey with a questionnaire which is analyzed using SPSS tools to determine the results of the T test and F test. The results show that partially the quality of information has no effect, but other variables have an influence on user satisfaction. Simultaneously, all variables together have a significant positive effect on user satisfaction.
Pengembangan Aplikasi Presensi Karyawan Di Yayasan Xaverius Palembang Agus Kristiono; Sri Andayani
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 4 No. 2 (2021): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v4i2.506

Abstract

Yayasan Xaverius Palembang merupakan sebuah Yayasan milik Keuskupan Agung Palembang yang menyelenggarakan pendidikan berupa sekolah formal bercirikan Katolik mulai dari jenjang TK hingga SMA di tiga provinsi di Sumatera, yaitu Provinsi Sumatera Selatan, Provinsi Jambi dan Provinsi Bengkulu. Pada YXP ditemukan permasalahan pada sistem presensi yang sedang berjalan. Yayasan Xaverius Palembang sudah mempunyai sistem presensi berbasis qrcode tetapi sistem tersebut masih perlu dikembangkan. Karena sistem yang ada hanya dapat berjalan di windows 10, hanya terdapat 1 shift kerja, belum terdapat fitur import data karyawan, dan data karyawan tidak bisa di unduh. maka dari itu sistem tersebut harus dikembangkan.Pengembangan aplikasi ini menggunakan metodologi RAD (Rapid Application Developmen), karena metodologi ini cocok untuk pengembangan sistem. Analisis permasalahan menggunakan PIECES, berbasis localhost, dibuat dengan menggunakan bahasa pemograman PHP dan HTML serta database Mysql. Hasil dari pengembangan aplikasi ini yaitu aplikasi sudah dapat berjalan di sistem operasi windows 7,8 dan 10 selain itu aplikasi sudah terdapat 3 shift kerja
Aplikasi Pengolahan Data Bimbel Rumah Belajar Solusi Berbasis Java Desktop Enjel Lia; Stefanus Setyo Wibagso
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 4 No. 2 (2021): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v4i2.507

Abstract

Rumah Belajar Solusi merupakan tempat bimbinganbelajar yang melatih anak untuk mengembangkan pelajarandalam bidang akademis siswa yaitu Matematika dan IlmuPengetahuan Alam (IPA). Pada binbel ini ditemukanpermasalahan bahwa dalam proses pengolahan data masihdilakuakn secara manual. Maka dari itu dibuatlah aplikasipengolahan data bimbel Rumah Belajar Solusi berbasis desktopuntuk membantu admin dapat lebih cepat dan mudah dalamproses pengolahan data-data bimbel. Pembanguann aplikasi inimenggunakan metodologi extreme programming (XP). Analisispermasalahan menggunakan PIECES, berbasis localhost, denganmenggunakan bahasa pemrograman Java dan database Mysql.Penerapan aplikasi pengolahan ini diharapkan dapat membantubagian admin dalam memproses pengolahan data bimbel.
Sistem Kandang Ayam Petelur Otomatis Dengan Memanfaatkan Open-Source Hardware Krsna Elian Panji Restu; Made Liandana; I Komang Agus Ady Aryanto; Bagus Made Sabda Nirmala
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 5 No. 2 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v5i2.656

Abstract

In general, laying hen farms still provide feed using a conventional system by sprinkling the feed in the feeding area along the cage and moving from one cage to another. Laying hens' manure that is still cleaned by dredging the manure is then collected in sacks or by spraying water, as well as collecting eggs manually by picking up eggs along the length of the cage. This activity is still not effective in maintaining and maintaining the cage because it still requires a lot of work. Therefore we need a facility for laying hens that can work automatically. This automatic laying hen cage can help laying hen breeders in providing feed, cleaning manure, collecting chicken eggs automatically and calculating egg yields easily and can monitor the temperature and humidity of the layer hen coops in real time. This system uses modules and sensors that are linked and connected to a microcontroller which can be monitored by the user through the Blynk application on the user's smartphone. The system is built using existing components in the form of sensor modules that are easy to get on the market at an affordable price, namely the use of Arduino Atmega2560 as a microcontroller, LCD to display the results of data obtained in the cage, Relays for motorbike manure switches and egg collection , the motor driver Ln298 as a motor control regulator, Esp8288 for wifi networks, DHT22 for temperature and humidity measurements in the enclosure, and RTC DS3231 for digital timing in the enclosure. These tools are built not too complex so that breeders or users can easily use and carry out maintenance if one of the components of the tool is damaged so that it is easy to replace.
Barcode Order Berbasis Website Guna Memulihkan Ekonomi Umkm Di Masa Pandemi Covid 19 Ria Manurung; Maria Bellaniar Ismiati
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 5 No. 2 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v5i2.657

Abstract

The current state of Indonesia, which is still experiencing bad conditions caused by the Covid-19 virus, has made the government issue a policy to stop the spread of this virus with physical distancing to avoid crowds. This also affects the culinary business at Cafe Radio Kopi Gombong, where orders are still done manually, which requires a waiter to come to the consumer's table to choose the menu. Then with the Contactless Order System on the Website-based Coffee Radio, it is able to reduce contact with people, consumers who come to the coffee radio can directly order menus by logging into the ordering web using a barcode through the consumers' own gadgets. The system development method used is the prototype method with the help of the PHP programming language and the CodeIgniter framework. The results of this study concluded that there was an increase in the efficiency of ordering that occurred at the Radio Kopi Gombong cafe.
GAMBARAN DIMENSI DAN KEPUASAN SISWA DALAM PEMBELAJARAN ONLINE MENGGUNAKAN MS TEAMS I Wayan Kayun Suwastika; Pande Putu Gede Putra Pertama
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 5 No. 2 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v5i2.674

Abstract

Tujuan : untuk mengetahui gambaran dimensi dan tingkat kepuasan siswa dalam pembelajaran online menggunakan MS Teams selama masa pandemik. Metode penellitian : penelitian ini termasuk kedalam analisa deskriptif dengan jenis penelitian kuantitatif. Data yang dihasilkan berupa kategorik yang di uji menggunakan SPSS for windows versi 20, dengan interval kepercayaan 95%. Pengumpulan data dimensi dan kepuasan mahasiswa menggunakan kuesioner elektronik (google form). Kuesioner elektronik dibuat dalam bentuk pertanyaan dengan pilihan yang tersedia (closed-ended questions). Hasil : hasil SPSS didapatkan sebesar 74,1% berjenis kelamin laki-laki, 91,60% berasal dari program studi system informasi, sekitar 64,2 % menggunakan aplikasi meeting dan media social dalam daring. Berdasarkan dimensi Engaged Learning atau Kehadiran mahasiswa 59,8% menyatakan ragu-ragu dalam keterlibatannya pada kuliah online menggunakan Ms Teams, dimensi Agency atau perasaan mahasiswa yaitu sebesar 57,7 % menyatakan ragu-ragu. Sedangkan pada dimensi Assesment atau penilaian sebesar 50,6% mahasiswa menyatakaj ragu-ragu dengan penilaian yang dilakukan selama daring dengan MS Teams. Sebesar 76,6 % mahasiswa merasa puas dengan kuliah online menggunakan Ms Teams. Keaslian : Microsoft Teams (Ms teams) merupakan salah satu media pembelajaran yang dapat digunakan secara online/daring. Teams adalah platform kolaborasi yang menyatukan obrolan, suara, video, dan berbagi file. Microsoft Teams memiliki peran dalam bagaimana dosen dan mahasiswa melakukan kolaborasi data dan informasi dari setiap materi perkuliahan yang disampaikan. Pembelajaran menggunakan Microsoft Teams for Education sangat baik digunakan untuk meningkatkan minat belajar peserta didik yang berpengaruh terhadap dimensi kehadiran. Dimensi merupakan suatu bentuk aktifitas yang dilakukan oleh kelompok manusia dengan adanya batasan tentang suatu kehidupan yang nyata dan tidak nyata. Dimensi mahasiswa terdiri dari 3 komponen yaitu engaged learning, agency dan assessmen. dimensi-dimensi tersebut menjadi tolok ukur terhadap kepuasan mahasiswa dalam mengikuti pembelajaran online. Kepuasan merupakan bentuk penilaian konsumen dari sebuah produk atau jasa yang dapat memenuhi kebutuhan dan pengharapan mereka.
Analisis Sentimen Film Kuliah Kerja Nyata (Kkn) Di Desa Penari Menggunakan Metode Naive Bayes Salsa Bella Putri; Yonawati Nur Anisa; Nurirwan Saputra
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 5 No. 2 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v5i2.704

Abstract

The film of Kuliah Kerja Nyata (KKN) in the Dancing Village which is being discussed among the Indonesian people is a film based on a novel by a simpleman entitled "KKN in the Dancing Village". The film tells the story of a group of students who are carrying out their KKN activities in a village in East Java where in that village there are still prohibitions that must not be violated by a group of students which caused the death of two students who were carrying out KKN in that village. Thanks to the broadcast, which is being widely discussed, it has formed positive and negative responses from the community towards this KKN film in Dancer Village. So this study aims to analyze the test results of 550 training data using the Naïve Bayes classification method taken from Instagram posts that have positive comments (105), negative (43), neutral (288), very positive (37) and very negative (36). This sentiment analysis produces an accuracy value of 60.7073%.
SISTEM PAKAR DIAGNOSA PENYAKIT DEMAM BERDARAH DENGUE SECARA DINI MENGGUNAKAN METODE CERTAINTY FACTOR Evans Fuad; Febby Apri Wenando; M Rey Vannada
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v6i1.785

Abstract

Dengue fever is a disease caused by the bite of the Aedes aegypti mosquito. This disease is an infectious disease if a person who has been exposed to dengue fever is bitten and sucked by a mosquito and the mosquito bites another person, the virus will spread. In order not to spread, diagnose the symptoms that are being experienced, because the symptoms of dengue hemorrhagic fever are similar to the symptoms of other diseases, making it difficult to distinguish dengue hemorrhagic fever from other diseases. With the existence of an expert system for diagnosing dengue hemorrhagic fever early using this certainty factor method, it can provide insight as well as education to ordinary people so that unwanted things or fatal errors do not occur.
PENERAPAN ALGORITMA NEURAL NETWORK PADA CHATBOT PMB UNIVERSITAS MUHAMMADIYAH PONOROGO BERBASIS WEB Muhammad Furqon Fadli; Ghulam Asrofi Buntoro; Fauzan Masykur
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v6i1.786

Abstract

The need that will not be separated from humans is the need for information obtained such as information that is very important in the survival of human life. All information can be obtained from various sources, the most familiar of which are Internet-based mass media and print media. In this research, a web-based application, namely PMBChatBot, is produced, which can respond to questions posed by users (prospective new students), so that users can find out the information/answers they want about lectures from PMB. The algorithm used in the system design uses a Machine Learning algorithm, namely Neural Network. The function of the algorithm in this research is to classify based on the words entered by the user, match with sentences in the pattern that has been formed, and make predictions with answers that match the matching pattern. The patterns in the chatbot were formed by conducting interviews with PMB Muhammadiyah University of Ponorogo, and saved into a file with .JSON format. The Neural Network training process gets a fairly high accuracy value with an average accuracy of 0.8. The chatbot can respond to input that matches the pattern quite well based on the pattern that has been formed.
ANALISIS SENTIMEN INSTAGRAM VAKSINASI MASA PANDEMI COVID-19 MENGGUNAKAN METODE NAÏVE BAYES Dwi Winarti; Fanny Aura Salsabila; Fadia Ayu Cahyani; Nurirwan Saputra; Meilany Nonsi Tentua; Ahmad Riyadi
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v6i1.787

Abstract

The Covid-19 pandemic that has spread throughout the world. The government has also minimized the spread of the virus by implementing Large-Scale Social Restrictions (PSBB), implementing a lockdown, banning going home during Eid al-Fitr and so on. The government has also utilized social media as information and services for the community. The government also does not remain silent when there are many negative impacts on society, so the government takes vaccination action. The public's response to the vaccination program is quite interesting and varied on Instagram, both positive and negative. So this study aims to analyze sentiment towards the Covid-19 pandemic vaccination program using the Naïve Bayes method. Based on the results of sentiment analysis testing, the Instagram user with Quadgram tokenization obtained an accuracy value of 75.9124%.

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