cover
Contact Name
Danang
Contact Email
lpkdgeneration2022@gmail.com
Phone
+6285726173515
Journal Mail Official
danang@stekom.ac.id
Editorial Address
Jl. Diponegoro No.69, Dusun I, Wirogunan, Kec. Kartasura, Kab. Sukoharjo, Provinsi Jawa Tengah
Location
Kota semarang,
Jawa tengah
INDONESIA
Jurnal Publikasi Teknik Informatika (JUPTI)
ISSN : 28089367     EISSN : 28088972     DOI : https://doi.org/10.55606/jupti.v1i1
Core Subject : Science,
Jurnal Publikasi Teknik Informatika diterbitkan oleh Sekolah Tinggi Ilmu Ekonomi Trianandra. JUPTI memuat naskah hasil-hasil penelitian di bidang Teknik Informatika, Teknik Komputer, Teknik Elektro. JUPTI berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang ilmu Teknik Informatika, Teknik Komputer, Teknik Elektro
Articles 67 Documents
PERANCANGAN APLIKASI PERSEDIAAN BAHAN KUE BERBASIS WEBSITE MENGGUNAKAN METODE PROTOTYPE PADA DAPUR ALLYSA Prastiawan; Risah Subariah
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1570

Abstract

Allysa's Kitchen is a home-based business that operates in the service sector and produces various kinds of cakes ranging from home-made cakes to traditional cakes. Currently, Allysa's Kitchen is still keeping records and reporting supplies of cake ingredients using memos. So that it is vulnerable to loss of data and ineffectiveness of the information carried out. The research based on these problems is the background for designing cake-based material inventory applications website which can facilitate data processing with systems that are integrated intodatabase so that the recording of the flow of incoming goods, outgoing goods and reports can be operated quickly and accurately. The system development method applied is the method prototype. Prototype is a system developer's technical method for describing the system to the owner so that he has a clear picture of the system to be built by the developer. Advantages of the method prototype compared to other developer methods namely high time efficiency in system development and easier to implement. For designing, use HTML, PHP, and Java Scrip as well as MySQL as the database. Testing in this application uses blackbox testing and whitebox testing. The results of this study are awebsite which can make it easier for owners to manage cake ingredients stock and manage reports
Sistem Pakar Deteksi Dini Stunting pada Balita Adelia, Valentin; Pingky A. R. L. Lede
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1451

Abstract

Unmet nutritional needs can potentially affect the future growth of toddlers. One pf the consequences is stunting, which refers to failure in the growth of a child’s body and brain due to prolonged malnutrition. To assess the nutritional status of toddlers, parents usually consult nutrition experts. However, there are various factors that may prevent them from seeking such consultations, including a lack of experts or specialists, economic constraints, and busy schedules. This research aims to develop an early detection expert system for identifying stunting in toddlers, providing parents with the convenience of early detection at any time. The method employed in this study is forward chaining, a reasoning approach where users can select symptoms or characteristics, which will then be concluded as a diagnostic result. The outcame of this research is a web-based expert system for early detection of stunting in toddlers, which can be utilized by parents to identify stunting in their children at an early stage.
Analisis Python Penggunaan Musik Sebagai Pengobatan Gangguan Mental Raja Adi Pranata; Jeremy Reynald; Farhan Armandy Rasyid; Joevan Alezka; Muhammad Indra Ferdinand; Tubagus Zakki Ibrahim Ahmad; Rizki Budiman; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1721

Abstract

Music has become an important part of mental healing efforta. This is because music can reduce anxiety, such as symptoms of depression, anxiety, fear and have a positive effect on mood. However, research that describes statistically and explains visually is still rarely done. Therefore, this study aims to describe statistically and visualize the effectiveness of music as a healing of mental disorders. Through the literature study method, namely the search for references related to mental diseases and music, and pyton analysis, namely to conduct statistical data analysis and visualize data. The results explained that sufferers of mental disorders who listen to music are anxiety, depression, insomnia, OCD, the average age of listening to music that is affected by mental disorders of 14 years to 20 years as many as 300 people, on average per day listening to music for three hours a day as many as 175 as many as 175 People, the effectiveness of healing listening to music as many as 548 people from 736 people or in a percentage of 74.5% of the success rate of music in curing mental illness. This study proves that mental disorders can be cured by listening to music, especially music with rock and pop genres. This research contributes to the knowledge of listening to music into an alternative to healing mental disorders.Therefore future research is necessary to study in other mental disease disorders, not limited to patients with anxiety, Isomania, depression, OCD.
Implementasi Bahasa Python Dalam Menganalisis Pengaruh Rokok Terhadap Risiko Pasien Terkena Penyakit Stroke Kairos Abinaya Susanto; Darrien Rafael Wijaya; Matthew Owen; Tertius Raya Prasetya; George Maximillian Theodore; Jevant Russell; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1722

Abstract

This study discusses the implementation of Python programming language in analyzing the influence of smoking habits on the risk of stroke in patients. The study utilizes the "Stroke Prediction Dataset" from World Health Organization (WHO) as the research data source. By employing exploratory data analysis methods, the study can model statistics, visualize data, and test hypotheses to gather supporting variables in analyzing the impact of smoking on the risk of stroke. The analysis results indicate that smoking significantly contributes to an increased risk of stroke. The relationship between smoking status and stroke risk is also influenced by other factors such as age, gender, and other underlying health conditions like hypertension and heart disease.
Implementasi Data Warehouse Terhadap Manajemen Aplikasi Gojek Pada Menu Gopay Later Tegar Adit Tiawan; Nikira Nikira; Juliana Juliana; Sri Indah Ayu Pertama Sari; Nurbaiti Nurbaiti
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1734

Abstract

In this day and age, which is already familiar to Indonesian consumers with digital payment systems, there are so many applications that we can find that regulate digital payment systems, namely one of the delayed payment systems (PayLater), one of which is a well-known application that in Indonesia, GOJEK provides a Gopay Later payment system for customers who use the application to try it. In this era, all payment access is very easy. The purpose of this research is to find out whether the community understands the paylater payment system. This research method uses qualitative research methods using library research, with secondary data collection methods sourced from journals and websites. The results of this study show that almost all online shopping applications have a pay later (paylater) feature, so that people are increasingly aware of developments in the field of fintech technology. So that users of this feature feel that they can make transactions easier because they get lots of promos (cashback) and also free shipping.
Penggunaan Bahasa Pemrograman Python Untuk Memvisualisasikan Data Peluang Selamat Dari Kecelakaan Titanic Kalyani Jeslyn Lim; Clement Nathanael; Felicia Angel Wijaya; Jeson Adhi Dharma; Thaddeus Kendrick Andrian; Wilsen Soetresno; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1735

Abstract

Titanic is a cruise known for its grandeur during the past and its tragedy that caused lots of people to die. Until now, its tragedy has drawn the interest of many people towards the ship. As a result, there are many films, documentaries, and books that discuss the tragedy. Titanic is still a research object in many different study fields, including data science. In this article, we analyze a dataset containing samples from the passengers of Titanic to determine the probability to survive the tragedy generally and to test our hypothesis that there are some factors that enlarge the probability to survive. In this research, we use Python programming language to visualize the Titanic dataset. The population of this research is 2.240 people and the sample is 890 people. We use quantitative and qualitative methods to analyze the data. From this research, a person’s chance to survive the Titanic tragedy in general is 0.38, and there are some factors such as age, gender, and cabin class that can enlarge the chance of survival.
Perancangan Sistem Informasi Geografis Pemetan Jalan Pada Dinas Pekerjaan Umum dan Penataan Ruang Kabupaten Lombok Tengah Menggunakan Metode Waterfall Ihza dirgantara aji; Jihadul Akbar
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1736

Abstract

The road is a means of land transportation that has a function to connect one area to another. Therefore the development of an area can run well if access and mobility are not disturbed or hindered. Road conditions are very important in facilitating the mobility of various sectors such as the economic, industrial, trade and transportation sectors. The Central Lombok PUPR Service has duties regulated in government regulation number 38 of 2007 regarding the division of government affairs between the provincial government and district/city regional governments. In accordance with regional regulation number 11 of 2016 concerning the formation and composition of the regional apparatus of the NTB province, the position of the public works and spatial planning office of the NTB province has the task of assisting the governor in carrying out regional government affairs in the field of public works and spatial planning geographic information system design for road mapping at the PUPR Service. make it easier for officers to check the road. It is hoped that this system can improve data management, so as to create quality road construction in the Central Lombok Regency area.
Penggunaan Bahasa Pemrograman Python Dalam Analisis Faktor Penyebab Kanker Paru-Paru Angelina M. T. I. Sambi Ua; Diandra Lestriani H; Elizabeth Sonia Kristanty Marpaung; Jesslyn Ong; Michelle Savinka; Putri Nurhaliza; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1742

Abstract

Python programming language is a popular programming language in the field of data analysis. In this research, researchers will analyze data on the cause of lung cancer, because lung cancer has the highest death case among other cancer types. The purpose of the research is to explore how dataset processing related to lung cancer-causing factors using the Python programming language and the datasets used are derived from Kaggle. The research method used is quantitative with a population of 462,000 people and a sample of 999 people. The analysis technique used is an explorative data analysis technique. From the results of the research, the highest cause of lung cancer was found in people aged 32-42 years, level 7 genetic factor, 7th level in dust allergies, level 7 obesity and male sex has higher risk than women.
Penggunaan Bahasa Pemrograman Python dalam Menganalisis Hubungan Kualitas Kopi dengan Lokasi Pertanian Kopi Regina Lo; Alfred Edbert Yunanto; Rasya Nuhaifa Movia; Lambert Aditama Soehardjianto; Ferdinand Wangsa; Natalie Asdyo Lidjaja; Rahmi Yulia Ningsih
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1752

Abstract

Coffee is a drink that everyone loves, however, not all coffee consumed has good quality. The quality of coffee is influenced by various factors, one of which is the location of the farm. Therefore, it is very important to analyze the relationship between coffee quality and relevant farm sites. To achieve this goal, the author conducted a study that aims to explore the relationship between the quality of coffee and the elevation location where coffee is grown. The author collects data through a website called kaggle. The author analyzes data with the exploratory data analysis (EDA) method using the Python programming language to analyze data between the quality and area of coffee farming in a country that produces a lot of coffee. Through this study, the Author found that the higher the coffee farming location, the better the quality of the coffee produced.
Struktur Geologi Berdasarkan Citra Pada Anak Gunung Krakatau Citra Wahyuningrum; Daninta Handalia; Muhammad Rizki Ibrahim
Jurnal Publikasi Teknik Informatika Vol 2 No 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1799

Abstract

Volcano monitoring is crucial, especially for a country with many volcanoes like Indonesia. One of the challenges faced in monitoring active volcanoes is the relatively large cost and the location of the volcano which is difficult to access. Geological structures can be identified and studied using imagery, including satellite imagery and aerial imagery. Although the images do not provide a direct picture of the lithological details of the rock, they can provide important information about the pattern and structural characteristics. Aerial photo acquisition for photogrammetry was carried out using a drone that was flown over the Anak Krakatau Volcano. The results of this photogrammetry can be used as a basis for assessing the Geological Structure of Anak Krakatau Volcano. The use of satellite imagery in monitoring volcanoes provides important information for public safety, scientific research, and understanding of volcanic processes. With advances in technology and the accessibility of satellite imagery data, we can gain a better understanding of volcanic activity, monitor changes, and provide early warning to people living in affected areas.