Articles
Implementation of Statistical Quality Control Method in Product Quality Monitoring Information System
Syahputra, Iqbal Maulana;
Triase, Triase;
Andriana, Septiana Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)
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DOI: 10.47709/cnahpc.v6i2.3825
The business sector faced intensifying competition due to significant advancements in information systems and technology. PT. Florindo Makmur, a leading private company in the cassava processing industry producing tapioca flour, has proven to implement quality standards to uphold product quality and ensure customer satisfaction. The product quality inspection process had to meet standards before packaging; however, reporting remained manual using paper sheets, elevating the risk of data loss and reducing monthly evaluation efficiency due to manual calculations. The aim of this research was to design an efficient information system for monitoring product quality at PT. Florindo Makmur, utilizing the Statistical Quality Control (SQC) method. The quality control monitoring system played a central role in gathering quality control data to support management decisions regarding product quality certainty. Therefore, obtaining monitoring information promptly was crucial to ensure products met quality standards and reduce rejected product quantities. The research approach included observation, interviews, and literature review as data collection strategies, while the system development method used was the waterfall method encompassing system requirement analysis, design, coding, and implementation. This information system enabled PT. Florindo Makmur to efficiently monitor its products by applying SQC concepts such as data analysis and creating control charts to swiftly identify improvements in product defects and take appropriate actions.
SI-Konseling For Analyzing The Effect Of Stress Levels On Students' Academic Using K-Means Algorithm
Wangi, Putri Sekar;
Triase, Triase
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)
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DOI: 10.47709/cnahpc.v7i1.5113
Along with the rapid development of information technology, the world of education is also developing towards the digitalization era. Therefore, the use of information technology is needed to support the progress of the world of education. At SMA Negeri 6 Pematangsiantar, students who receive counseling guidance are students who do not obey school regulations such as undisciplined behavior in learning activities and extracurricular activities. According to psychologists, there is a relationship between negative behavior and the level of stress experienced by children. Signs that a child is experiencing stress include anger, aggressive behavior, and disobedience. It could be concluded that one of the triggers for negative behavior in children at school can be caused by stress. This study was conducted to determine the effect of student stress on their academic grades. By applying Data Mining using K-Means Clustering Algorithm, students can be grouped based on stress levels and academic achievement. So that a potential relationship can be found between these variables. In addition, the use of a counseling information system can improve the implementation of counseling to be more effective and efficient. Based on the research results, by collecting 960 student samples that will be used as calculation samples, the value of cluster one (C1) is at the average academic value (sufficient) with a moderate stress level percentage and cluster two (C2) at the average academic value (good) with a low stress level percentage. So it can be concluded that the percentage of stress experienced can affect their academic value.
Aplikasi Kamus Kata Serapan dari 3 Bahasa Asing dengan Koneksi Google Speech API
Risqullah, Fahira Khalisyah;
Samsudin, Samsudin;
Triase, Triase
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 4 No. 4 (2021): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang
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Absorption words are words that are absorbed from foreign languages or regional languages which are then integrated into Indonesian so that they become common words for everyday people. However, people do not know that the words we often use are sometimes not native Indonesian words. Balai Bahasa as a unit whose task is to research the development of Indonesian vocabulary also needs a media that can inform the public about the results of its research related to borrowed words, apart from printed books or a large Indonesian dictionary. The most widely absorbed loanwords into Indonesian are Arabic, Dutch, and English. Therefore, the idea was born to build an application that is useful as a source of knowledge for the community and the media to document the results of loanword research for language halls. The application will be built on the Android platform and using the Java programming language, with a SQLite database. Speech Recognition is done by connecting the Google Speech API with the system, so that the percentage of voice detection becomes text is greater. The resulting application is an Android-based loan word dictionary application that contains 3 foreign languages and is equipped with a voice detection feature that is connected to the google speech API.
Sistem Informasi Persediaan Bahan Baku pada Barbekoe Coffee Menggunakan Metode Buffer Stock dan FEFO
Agil, Mashuril;
Triase, Triase
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang
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Inventory information system is an important aspect of running a business, especially for Micro, Small and Medium Enterprises (MSMEs). Barbekoe Coffee is a Micro, Small and Medium Enterprise (MSME) in the city of Medan engaged in coffee shops (Coffeeshop). In carrying out its operations, Barbekoe Coffee still uses manual recording on a piece of paper on raw material inventory ranging from incoming raw materials, outgoing raw materials, raw material inventory, to ordering raw materials. This often causes problems ranging from damaged or lost records, repeated ordering of raw materials on the same raw materials and employees who often remove raw materials from the warehouse not in the order in which the raw materials enter. So often found raw materials in damaged and expired warehouses. The purpose of this study is to create and implement an appropriate and accurate inventory information system in order to minimize losses and optimize profits in the Barbekoe Coffee business. The methods used are Buffer Stock, First Expired First Out (FEFO), and Reorder Point. After testing, the system runs as expected. Barbekoe Coffee can implement precise and accurate inventory flows to increase profits and avoid losses due to damaged or expired raw materials.
Sistem Informasi Pelayanan Jasa Foto Berbasis Web dengan Metode Priority Queue pada Mari Photo Studio
Fadilla, Sonya Rezky;
Triase, Triase
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang
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Mari Photo is a hobby company for people who want to do studio or outdoor photography for whatever needs, such as graduation photography or model photography. Mari Fotostudio Setia Budi still has several obstacles in the service system for consumers related to the lack of service because many customers come, causing less than optimal service to customers. The purpose of this research is to design a service information system that can overcome existing problems to build a service information system using the priority queue method at Mari Photo Studio and improve the performance of photo services for customers. And also use the system development method with the prototype method in making the application design. The system built with the priority queue method that has been developed can make it easy for customers to order services at Mari Photo Studio Setia Budi.
Perbandingan Metode Trend Projection dan Triple Exponential Smoothing Peramalan Jumlah Kebutuhan Vaksin pada Balita
Priyamita, Adinda;
Triase, Triase
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang
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DOI: 10.32493/jtsi.v7i1.37835
The demand for vaccines for toddlers at the Rasmi Pekan Bahorok Clinic is currently considered not optimal. There is still a tendency to buy vaccines excessively, which results in the accumulation of vaccine stocks in storage. This increases the risk that the vaccine will become ineffective because it has passed its expiration date, while if the number of immunization vaccines is reduced, it could result in a shortage of vaccines for children. The lack of a proper calculation process to determine vaccine needs often results in errors in estimating the amount needed. As a result, vaccine stock at the Rasmi Pekan Bahorok Clinic is currently unstable. This situation is a problem at the clinic, so it is necessary to implement a forecasting system to calculate the vaccine stock that will be available each following month. To deal with this problem, it is necessary to forecast or predict to understand the situation in the future using past data. This can help in managing vaccine stocks to remain stable and optimize company operations. Therefore, a system was developed that can predict the number of vaccines needed. This system is expected to assist in decision making to resolve problems that arise. The methods used in this information system include the Trend Projection method and the Triple Exponential Smoothing method.
Augmented Reality Pengenalan Raja Kesultanan Deli Medan Berbasis Mobile
Harahap, Muhammad Fadli;
Triase, Triase;
Harahap, Aninda Muliani
Innovative: Journal Of Social Science Research Vol. 4 No. 2 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai
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DOI: 10.31004/innovative.v4i2.10020
Kesultanan Deli Medan merupakan suatu kesultanan megah yang didirikan di Kota Medan oleh kesultanan Ma’Amun Al Rasyid pada tahun 1890 dan dinamakan dengan Istana Maimun. Beberapa sultan dalam Istana Maimun yang sangat berpengaruh adalah Sultan Mahmud Al-Rasyid, Sultan Ma’Moen Al Rasyid, Sultan Amaludin Al Sani Perkasa Alamsayah, Sultan Osman Al Sani Perkasa Alamsyah, Sultan Deli Azmi Perkasa Alam Alhaj dan Sultan Otteman Mahmud Perkasa Alam. Mereka mampu memberikan pengaruh signifikan di bidang ekonomi khususnya perkebunan. .Salah satu kebudayaan yang mencolok adalah peninggalan Kesultanan Deli yang ditandai dengan berdirinya Istana Putri Hijau di pusat kota sebagai salah satu simbol ciri khas Kota Medan. Dan ada beberapa peninggalan Kesultanan Deli lainnya di simpan di Istana Maimun. Banyak diantara masyarakat baik kalangan anak-anak, remaja maupun dewasa yang masih belum mengenal tentang sejarah Kesultanan Deli serta peninggalannya, karena kurangnya dokumentasi berupa foto yang sangat minim serta naskah sejarah riwayat Kesultanan Deli yang jelas membuat kebanyakan masyarakat masih kurang mengenal Sultan Deli yang pernah berkuasa di Istana Maimun, dan juga kurangnya minat baca pada masyarakat tentang sejarah Kesultanan Deli yang masih di dominasi oleh buku, sehingga menyebabkan masyarakat kurang tertarik untuk mempelajarinya. Pemanfaatan teknologi informasi sekarang yang dapat menarik perhatian khalayak umum adalah Augmented Reality. Augmented Reality atau lebih dikenal dengan realitas tertambah dalam bahasa Indonesia adalah teknologi yang menggabungkan benda maya dua dimensi dan tiga dimensi ke dalam sebuah lingkungan nyata tiga dimensi lalu memproyeksikan benda-benda maya tersebut dalam waktu nyata. Augmented Reality atau disingkat dengan AR adalah perwujudan dari benda di dunia maya ke dalam dunia nyata baik dalam dua dimensi ataupun tiga dimensi.
Analisis Informasi Perancangan Proses Bisnis Barang Masuk dan Barang Keluar PT. Telkom Regional 1 Sumatera
Triase, Triase;
Pasaribu, Afifah Balqis;
Ayu, Kartika Dara
Jurnal Kridatama Sains dan Teknologi Vol 6 No 01 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen
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DOI: 10.53863/kst.v6i01.1107
PT Telekomunikasi Indonesia Tbk was chosen because it is the largest telecommunications company in Indonesia and in accordance with the researcher's study program, namely Information Systems. The results of practical work show that PT Telkom Regional 1 Sumatra still records goods manually which results in difficulties in finding and managing inventory data. The business process of incoming goods and outgoing goods experiences several obstacles, especially in the efficiency of delivery time. Therefore, researchers recommend an improvement plan by combining goods in one shipment and using a larger container, as well as utilizing bubble wrap for the safety of goods. The implementation of these changes is expected to reduce the delivery process time and increase customer satisfaction. In addition, suggestions for the development of an application for ordering goods and monitoring shipments are also proposed to facilitate consumers and improve the efficiency of reporting goods data. Thus, PT Telkom Regional 1 Sumatra can design and create a goods data collection information system to improve business processes that occur in the company.
Implementation of the ROC and CPI Methods for New Employee Selection at PT. Neora Infrastructure Indonesia
Roza, Yuda Fakhri;
Triase, Triase
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer
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DOI: 10.32520/stmsi.v13i4.4202
PT. Neora Infrastructure Indonesia is an industrial company engaged in telecommunications and/or telephone transmission network construction services, collaborating with Fiberstar. This necessitates the company to constantly require competent human resources. However, the company must compete with others to acquire competent personnel. Nevertheless, the employee selection process at PT. Neora Infrastructure Indonesia is still manual and takes 2 - 4 weeks, making it difficult for the company to compete in acquiring competent personnel. Therefore, it was decided to develop a decision support system to assist the company in efficiently and effectively selecting employees. The decision support system for employee selection uses the ROC and CPI methods. The ROC method is used to determine the criteria weight values, while the CPI method is used for ranking all alternatives. Quantitative method is the research method used, and several types of UML diagrams including Activity diagram, Class diagram, and Use case diagram are utilized for system design. The RAD method is employed for system development. With the establishment of the decision support system for employee selection using the ROC and CPI methods, it is expected that the company can compete with others in obtaining competent human resources and that the employee selection process becomes efficient and effective
Greedy Algorithm to Support the Decision of Choosing the Fastest Aid Distribution Route After Flooding
Harahap, Sukma Ananda;
Triase, Triase
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer
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DOI: 10.32520/stmsi.v13i4.4345
Flooding is one of the most common natural disasters in Indonesia, including in Merbau Sub-district, North Labuhan Batu Regency, North Sumatra. This disaster can cause huge losses, both material and non-material. One of the efforts to reduce the impact of flooding is to immediately distribute aid to affected communities. The distribution of post-flood aid requires careful planning so that it can run quickly and on target. In this research, we propose the use of greedy algorithm to support the decision of choosing post-flood aid distribution route in Merbau District. The greedy algorithm is an algorithm that chooses the best solution at each step, hoping to find the optimal solution as a whole. This research was conducted using data on the location of disaster points, the location of aid distribution points, and the distance between points. The results showed that the greedy algorithm can produce a faster aid distribution route compared to the conventional route.