Majalah Ilmiah UNIKOM

Sistem Informasi Panggil Kuli Proyek Berbasis Website (SIPAKUPROY)

Waeisul Bismi, Anisa Febriyani, Farid Ramadhan — Tue, 31 Oct 2023 00:00:00 +0700

Pada perubahan global saat ini juga membawa dampak, seperti kesulitan dalam mencari pekerja bangunan yang memiliki pengalaman dan kepercayaan. Namun, Perkembangan sistem informasi berbasis website saat ini memberikan manfaat signifikan dalam berbagai aspek pekerjaan, meliputi jarak, waktu, dan akses tempat. Ini mendorong industri konstruksi, untuk memanfaatkan teknologi, sistem, dan informasi guna menyediakan layanan lebih efisien dan mudah diakses oleh masyarakat. Menghadapi tantangan ini, platform SIPAKUPROY diciptakan sebagai solusi. Tujuannya adalah untuk memfasilitasi pencarian pekerja bangunan yang terpercaya dan berpengalaman melalui platform digital. Analisis dalam pembuatan platform ini mengungkapkan beberapa masalah, terutama dalam peralihan dari sistem penawaran manual menjadi sistem digital. Proses peralihan ini didukung oleh metode penelitian model waterfall, serta analisis kebutuhan perangkat lunak dan perangkat keras yang handal. Perancangan sistem juga mencakup pembuatan database menggunakan Logical Record Structured (LRS) dan Entity Relationship Diagram (ERD), serta tampilan desain yang user-friendly. Proses ini dilakukan dalam upaya merancang media sistem informasi panggil kuli proyek berbasis website (SIKUPROY). Seluruh rangkaian perancangan dan pembuatan platform SIPAKUPROY bertujuan untuk memberikan kemudahan kepada masyarakat yang ingin membangun rumah namun merasa kebingungan karena tidak memiliki jaringan atau relasi dengan pekerja bangunan. Melalui platform ini, proses pencarian dan pilihan pekerja bangunan diharapkan menjadi lebih terpercaya, efisien, dan sesuai dengan kebutuhan masyarakat.

Kata Kunci: Pekerja Bangunan, Sistem Informasi, Website

Sistem Informasi Kesehatan Posyandu (SIKEPO) di Desa Sindangsari

Indah Kastriana Dewi, Nurul Alfiah — Tue, 31 Oct 2023 00:00:00 +0700

The current advancement of information technology has become a crucial factor in various fields, including the healthcare sector. Posyandu is a government program aimed at improving child health in Sindangsari Village. However, there are still shortcomings in its implementation, particularly in the delivery of child health information, monitoring child development, and the lack of child health education for the community. This research aims to develop a website-based information system for Posyandu in Sindangsari Village using the waterfall method to enhance the quality of Posyandu services. The data collection methods used in this study are observation and interviews. The system development method employed is the waterfall method, consisting of requirements analysis, design, programming, testing, and system implementation. The development of the Posyandu information system utilizes PHP programming language, web technologies such as HTML and CSS, and a MySQL database. The system testing is conducted using the Black box method, which aims to ensure the functionality of the system works well and meets the specified requirements. The research findings indicate that the current conditions and processes at Posyandu in Sindangsari Village using the PosyanduQu application have limitations in terms of features and functionality. The developed website-based Posyandu information system is capable of providing more comprehensive and user-friendly features, such as measurement result input, child data management, cadre data management, schedule management, article management, and child development monitoring. Furthermore, this information system also provides a web profile of Posyandu to enhance public interest and participation in Posyandu activities. It is expected that this information system will facilitate cadre management of Posyandu and improve the community's understanding of the importance of Posyandu in maintaining child health in Sindangsari Village.

Key Words: information system, posyandu, waterfall

Pengukuran Tingkat Kepuasan Pengguna Ceisa 4.0 Menggunakan System Usability Scale Pada Kantor Pengawasan Dan Pelayanan Bea Dan Cukai Tipe Madya Pabean A Purwakarta

Najwa Zahratul, Syifaul Fuada, Leonardi Paris Hasugian — Tue, 31 Oct 2023 00:00:00 +0700

The Directorate General of Customs and Excise provides a public service portal, namely the Customs-Excise Information System and Automation (CEISA) with the domain address https://portal.beacukai.go.id/. CEISA 4.0 is a development of the website-based CEISA system to carry out supervisory processes in customs and excise. Findings based on observations suggest problems with the web-based CEISA 4.0, where there are no efforts to carry out evaluations to determine the extent to which convenience and the purpose of its use can be achieved, especially at the Customs and Excise Service Office of Middle Customs Type A Purwakarta. The System Usability Scale (SUS) method was used considering that SUS is a valid usability tester even with a small sample size. The final result of the average SUS score was obtained with a value of 67.25 from a questionnaire collection of 30 respondents. This value interprets that the rating on the Acceptability Ranges is Marginal, Grade Scale is on a scale of D, and Adjective Ratings are in the Good category. The assessment stated that the use of website-based CEISA 4.0 was quite easy to use and required further development.

Key Words: CEISA 4.0, Customs and Excises, Public Service Portal, System Usability Scale, Web Based

Arsitektur Real-Time Mission-Critical Business Intelligence Untuk Pendukung Keputusan Dalam Sistem Traceability Produk Olahan Ikan

Aditia Ginantaka — Tue, 31 Oct 2023 00:00:00 +0700

The risk of poisoning in processed fish products due to increased histamine content can occur due to fish processing not meeting handling and hygiene standards. Therefore, producers of processed fish must have a traceability system to ensure the food products' safety. This research aims to design a real-time business intelligence architecture for product traceability and recall decision support. Real-time consumer response data is critical to support tactical decision-making regarding traceability. Real-time data introduction into the company's data warehouse can be done based on consumer response input through social media. The TF-IDF (Term Frequency-Inverse Document Frequence) data mining technique is used to process text data by giving weight to each keyword related to customer complaints about processed fish products. The k-Nearest Neighbor (KNN) data mining technique is used for sentiment analysis of tweets that classify text data and keywords into positive and negative classes to produce information supporting traceability system decisions. Data sources are comments, location tags, and multimedia from the company's social media group members. Based on the review of the proposed business intelligence architecture, data mining operationalization and dashboard visualization can support the achievement of KPIs from the traceability perspective. Companies can use the information generated to support work performance measured through KPIs. The speed of identifying the location of the cause of histamine increase, accuracy in identifying batch ID products, speed in publishing traceability results, and speed in recalling products from the market are some of the KPIs of this traceability system.

Key Words: traceability, business intelligence, fish processing

Analisis Sentimen Ulasan Film Oppenheimer Pada Situs Imdb Menggunakan Metode Naive Bayes

Fery Anuar Ramadhan Putra, Frido Firman Fadilah, Ultach Enri — Tue, 31 Oct 2023 00:00:00 +0700

This research aims to analyze the accuracy of Oppenheimer film sentiment based on audience reviews written via the Internet Movie Database (IMDb) website using the Naive Bayes method. Audience reviews on the IMDb site are a valuable source of information in understanding audience opinions and responses to a film. In this research, researchers implemented the Naive Bayes algorithm classification method to classify reviews as positive or negative sentiment. Movie review data from IMDb is collected and entered into the pre-processing stage, then relevant features are extracted to train the Naive Bayes model. The evaluation results show that the Naive Bayes method can recognize sentiment in Oppenheimer film reviews with a significant level of accuracy. The findings of this research provide valuable insight for the film industry in understanding audience responses to these films, and the sentiment information obtained can be used as a basis for better decision making in film development and marketing. However, researchers acknowledge that there are limitations, especially in classification accuracy in reviews that use ambiguous or unclear language. Therefore, future research could involve other methods or combine several methods to improve the accuracy and reliability of sentiment analysis of film reviews.

Key Words: IMDb, Movie Reviews, Naive Bayes, Sentiment Analysis

Analisis Kualitas Air di Sungai Cimanuk Kecamatan Jatibarang Dan Pemanfaatannya

Muhammad Arfan Al-Ghozi Prasetyo, Muhammad Fajar Arzena — Tue, 31 Oct 2023 00:00:00 +0700

Sungai Cimanuk Water Quality Assessment Based on the Standards Set by Governor Regulation No. 38 of 1991 and Government Regulation No. 82/2001.An evaluation of the water quality of the Cimanuk River was conducted based on the quality standards established by Governor Regulation No. 38 of 1991 and Government Regulation No. 82/2001. The evaluation results indicate that the water in the Cimanuk River meets the quality standards of Class B, C, and D as stipulated in Governor Regulation No. 38 of 1991 at several upstream points. However, elevated levels of substances such as manganese, zinc, and detergents exceeding permissible limits were detected at specific locations. Furthermore, according to the criteria outlined in Government Regulation No. 82/2001, the water quality in the Cimanuk River reaches Class I during the rainy season but deteriorates to Class III and IV during the dry season. The primary conclusion drawn from this evaluation is that the water quality in the Cimanuk River does not consistently meet the standards set by both Governor Regulation No. 38/1991 and Government Regulation No. 82/2001, indicating a significant discrepancy in the assessment of water quality in this river.

Key Words: quality assessment , water quality, water pollution