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Gedung Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alam - Universitas Lampung Jalan Soemantri Brojonegoro No.1 Bandarlampung
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Jurnal Pepadun
Published by Universitas Lampung
ISSN : -     EISSN : 27743403     DOI : https://doi.org/10.23960/pepadun
Core Subject : Science,
Computer Science & IT
Pepadun Journal is a journal to publish research in the fields of computer science, information systems, and informatics to researchers, scientists, and professionals. For every edition published by the Pepadun Journal, we put our effort: Using standard procedures and times for submitted manuscripts, Provide a good editorial service for every submitted manuscript, Attract national and international writers to contribute to submitting quality manuscripts, Managing journals with good quality standards Pepadun is published three times a year by Computer Science Department, University of Lampung. Contributed papers must be original and offer a state-of-the-art contribution. Each manuscript will be peer-reviewed by reviewers in the relevant field ensuring the quality of the publication. Pepadun offers an open-access license (CC-BY), authors retain the copyright.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 113 Documents
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PENGEMBANGAN SISTEM PENGELOLAAN LAUNDRY BERBASIS WEB (STUDI KASUS ARIN LAUNDRY) Angga Dwi Putra; Dwi Sakethi; Ardiansyah Ardiansyah
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.85

Abstract

Arin Laundry is a laundry service business located in Gedong Tataan, Pesawaran Regency, Lampung Province. Management of business activities at Arin Laundry still uses the old method, namely the manual method. Therefore, this research was conducted to build an information system that can help Arin Laundry in running its business, so that business management at Arin Laundry can run well. The business management includes transactions, user management, laundry type management, expenses, monitoring of laundry raw materials, expense and income reports, bar graph reports, profit reports, and sending SMS notifications to customers so that customers can know for sure that the laundry belongs to the customer. have been completed. SMS notifications can also inform customers that washing is being picked up and being delivered. In the development of information systems, a system development method is applied, namely the waterfall method developed in conjunction with the PHP and MySQL programming languages and using the Laravel framework. System testing is carried out using black box testing, namely by observing the results of execution through test data and checking the functionality contained in the system. This research has succeeded in developing a web-based information system that can be accessed by admins, employees, and customers.
SENTIMENT ANALYSIS PROTOKOL KESEHATAN VIRUS CORONA DARI TWEET MENGGUNAKAN WORD2VEC MODEL DAN RECURRENT NEURAL NETWORK LEARNING Ni Putu Ayu Anesca; Kurnia Muludi; Dewi Asiah Shofiana
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.86

Abstract

Sentiment analysis is a computational study of opinion from various opinions, which is part of the work that conducts a review related to the computational treatment of opinions, sentiments, and perceptions of the text. To solve various problems in sentiment analysis, needed a good text representation method. In this study, a deep learning analysis was carried out using the Recurrent Neural Network (RNN) method and the Word2Vec Model as word embedding in sentiment classification. The sentiment dataset used comes from user reviews on Twitter (tweets) on the health protocols implemented by the public from the government's appeal. The results showed that the RNN model using sigmoid activation resulted in the greatest accuracy of 66%. The training process in this test uses 10 epochs and 32 batch sizes so that the precision value for negative sentiment is 54% and for positive sentiment is 67%.
RANCANG BANGUN SISTEM INFORMASI ONE STOP WEDDING SERVICE BERBASIS WEB M Gigih Periawan PS; Bambang Hermanto
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.87

Abstract

Research on Web Design One Stop Wedding Service Information System research has been conducted with the aim to design and create a web-based information system to help people get information about wedding receptions. Creating an effective Wedding Organizer business process for clients, this information system will also help find out what items are needed at the event that takes place according to client needs. This research was developed using the waterfall method with the PHP and MySQL programming languages and testing using blackbox testing. The results of this study can be accessed directly by clients and can be used according to their interests.
DASHBOARD SUSTAINABLE DEVELOPMENT GOALS (SDGS) MENGGUNAKAN FRAMEWORK LARAVEL (STUDI KASUS KABUPATEN DAN KOTA PROVINSI LAMPUNG) Tristiyanto Tristiyanto; Yunda Heningtyas; Aristoteles Aristoteles; Muhammad Yusuf Amran
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.88

Abstract

On March 18, 1964, the Province of Lampung was established. In order to carry out efforts to develop Lampung Province, a development framework with a legal foundation and justice in each development process is required. The Sustainable Development Goals (SDGs) are a replacement for the Millennium Development Goals (MDGs), which were established as a result of an agreement amongst 189 leaders of UN member states with the primary goal of improving welfare and community development. As a result of this research, a dashboard was established to track the progress of the SDG indicators. The dashboard produced can analyze, manage, and display the progress of the SDG indicators in a way that all parties can simply read and understand. As a result, everyone at every level of society can understand and guarantee that development is carried out in accordance with the law in order to promote community welfare.
APLIKASI PENCARIAN LETAK GUDANG KOPERASI DENGAN METODE K-MEANS CLUSTER MENGGUNAKAN FRAMEWORK LARAVEL Tristiyanto Tristiyanto; Bambang Hermanto; Afridho Rachmadi Kartawiria
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.89

Abstract

Multi-cooperative information systems have been developed in 2018 by providing several services, one of which is GIS (geographic information system). GIS on this system displays the locations of existing cooperatives in the form of digital maps. This study develops the GIS service on a multi-cooperative information system into a cooperative warehouse location search using the K-means clustering method. Multi-cooperative information systems with cooperative warehouse location search features were developed using the Laravel 5.5 framework with the waterfall method. Searching the location of cooperative warehouses using the K-means method is useful to assist users in determining the location of warehouses to supply adjacent cooperatives. This system has also been tested using the Blackbox Testing method.
IMPLEMENTASI SUPPORT VECTOR MACHINE DALAM MEMPREDIKSI HARGA RUMAH PADA PERUMAHAN DI KOTA BANDAR LAMPUNG Favorisen Rossyking Lumbanraja; Reza Aji Saputra; Kurnia Muludi; Astria Hijriani; Akmal Junaidi
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.90

Abstract

Machine Learning has been widely used in terms of predictions for analyzing datasets. One method of Machine Learning is Support Vector Machine (SVM). The house has an important role in the survival of human beings. With the times, many developers are competing to build housing. The purpose of this study is to predicted the housing cost using Support Vector Machine. The data in this research used the data of house in Bandar lampung, the price, the location and the building specification. The amount of data used 51 datas and 33 variables with regression and classification, also used 3 kernels and it's model, 12 times first trial and next 6 experiments done with fitur selection. The trial result was kernel regression polynomial model reached the highest R 2 that was 95,99% linear kernel and gaussian kernel reached R 2 90,99% and 81,43% each. While in accuration classification model trial is obtained in 8 class of gaussian kernel as big as 91,18%, and linear kernel and polynimonal kernel get an accuracy of 90,20% and 89,90%.
PENERAPAN APLIKASI PENCARIAN LOKASI BENGKEL DI KOTA BANDAR LAMPUNG ( STUDI KASUS VESPA) M Rizky Apriawan; Irwan Adi Pribadi; Yohana Tri Utami
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.91

Abstract

Applications are ready-made programs that can be used to run commands from application users in order to get more accurate results. The search application for the location of the vespa workshop in the city of Bandar Lampung is made to make it easier for users to find workshops. Information on the location of workshops that have been running so far but is less efficient. In finding the location of the Vespa workshop in the city of Bandar Lampung, still using the manual this method takes a long time to find a Vespa workshop in the city of Bandar Lampung. This research uses simple hill climbing method. This research produces what is in accordance with user needs. The search application for the location of the vespa workshop in Bandar Lampung can see the location of the vespa workshop in the city of Bandar Lampung and can search for the address of the vespa workshop with the location of the nearest vespa workshop from the user quickly and easily.
PENERAPAN METODE EXTREME PROGRAMMING PADA PENGEMBANGAN SISTEM INFORMASI EVALUASI HAFALAN AL-QUR’AN Dian Riskiyana; Dwi Sakethi; Rico Andrian
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.92

Abstract

Monitoring refers to the process of gathering and analyzing information that is systematic and continuous related in improving the program. The Al-Qur’an memorization monitoring system that has been running is systematic, but not yet efficient. Recording memorization that uses conventional method requires a great deal of time to recap memorization. This research aimed to develop a system that can act as a medium for recording and monitoring the Al-Qur’an memorization. This research used the Extreme Programming method. This research result is the development of web based the Al-Qur’an memorization monitoring system with unit testing and acceptance testing that suit the needs of users. The Al-Qur’an memorization monitoring system can see memorization recap, record memorization, see memorized surah and see memorization chart. The Al-Qur’an memorization monitoring system can evaluation in the memorized Al-Qur’an.
PENGEMBANGAN PLUGIN LAPORAN PENJUALAN PADA TOKO BIBIT BEBEK BERBOBOT BERBASIS WORDPRESS Estu Ramadian Wiharto; Astria Hijriani; Rizky Prabowo
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.93

Abstract

The rapid growth of e-commerce encouraging the trend of store digitization. All popular e-commerce provider prohibit the sale of living goods. It makes the livestock industry like Bibit Bebek Berbobot Store unable to digitize like most shops. WordPress is a multipurpose CMS. WordPress can be used to build selling system to substitute popular e-commerce. WordPress has many features, such as plugins and a template system. Plugins are provided to improve and add functions that do not exist in a website. With a plugin called WooCommerce, WordPress can be transformed into a selling system. WooCommerce add several features such as ordering, product management, and stock management, but it is still lack proper reporting feature. This research focus on developing a plugin that allows processing transaction data into monthly accounting reports. Plugin development is carried out using the PHP programming language with the waterfall development method. The final product of this plugin is monthly accounting reports such as sales journals, inventory journals, and income reports
SISTEM INFORMASI PENGINGAT KONTRAK KARYAWAN AEROFOOD ACS MENGGUNAKAN SMS GATEWAY (STUDI KASUS PADA KARYAWAN KONTRAK PT AEROFOOD INDONESIA BANDARA INTERNASIONAL SOEKARNO-HATTA, PAJANG, TANGERANG) Zaqia Khana Meriza; Machudor Yusman; Dwi Sakethi; Aristoteles Aristoteles
Jurnal Pepadun Vol. 2 No. 3 (2021): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v2i3.94

Abstract

Every month PT Aerofood Indonesia has a number of contract employees whose data needs to be managed and the follow-up determined by the HC (Human Capital) Development company. The HC determines the employee concerned for extending his contract or terminating his employment contract. The problem that occurs is the number of contract employees who annually have around 300 employees who need to check the expiration date of the work contract. Checking is still done manually by the HC by checking employee data from stored data files. In this study, an SMS Gateway based reminder information system was developed that can remind HC parties by sending a text message in the form of SMS reminders related to employee data that will be out of contract and send a SMS message to the employee that the contract will expire within one month before the expiry date of the contract, thus system can help the HC in speeding up the file preparation and decision process follow up on related employees.

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