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All Journal Infotech Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JMM (Jurnal Masyarakat Mandiri) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Krea-TIF: Jurnal Teknik Informatika Jurnal Riset Informatika Jurnal Teknologi Terapan Jurnal Mantik Abdi Dosen : Jurnal Pengabdian Pada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) ETNIK : Jurnal Ekonomi dan Teknik Antasena: Governance and Innovation Journal Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Dewi Primasari
Universitas Ibn Khaldun Bogor
Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Application of Fuzzy C Means and TOPSIS in Warehouse Selection at PT Warung Islami Bogor Dewi Primasari; Khidir Zahid Muchtadiabillah; Freza Riana
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.517

Abstract

PT Warung Islami Bogor needs a warehouse to store goods that come from suppliers. Currently, the selection of warehouses is still done manually and is subjective. It is feared that this will lead to inaccuracies in renting the warehouse. So an application is needed to assist companies in choosing a warehouse. The fuzzy C-Means method can be used to classify warehouse data based on the characteristics of each group. After obtaining the next group is to make a rating of each group. One method that can be used is the TOPSIS method. The TOPSIS method can be applied to this application to rank the data warehouses that have been grouped. In the selection of this warehouse, there are several criteria. The criteria used are price, building area, distance from the head office (HO), parking area, and number of floors. The calculation process is done by dividing the warehouse data into several groups and ranking them to obtain the best recommendations. This application uses the PHP programming language with the Laravel framework—testing using a black box. Fuzzy C-Means and TOPSIS calculations show that Warehouse CCC is the best warehouse in Cluster 1 with a value of 0.797, and the Warehouse in Front of Gas Station Villa Bogor Indah is the best in Cluster 2 with a value of 0.613.
Decision Support System for Selection of The Best Fuel for Households Using the Weighted Product (WP) Method Yasmin Khairunnisa; Dewi Primasari; Nurul Kamilah
Jurnal Riset Informatika Vol. 5 No. 2 (2023): March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.216

Abstract

Fuel is one of the most critical needs for the community in carrying out various household activities dominated by fuel oil. Meanwhile, the availability of fuel is increasingly running low. Most people in the Botumoito area in Gorontalo province work in the agricultural sector with low local income. Availability of fuels such as kerosene and gas there is quite challenging because there is no source or supply of gas either directly from the gas field or terminal. The government needs to make the right policy on fuel selection according to the problems in the region. This research aims to design and build a decision support system for selecting the best fuel and implementing the Weighted Product (WP) method into the system. The method used in designing and manufacturing this system is the waterfall method. This research results in a decision support system that can help fuel ranking. The ranking results are based on the magnitude of the Vector (V) value obtained from testing ten alternative fuels. Bioethanol occupies the top priority with a vector value of 0.152. This research can help consultants, fuel experts, and local governments speed up their work in determining the best household fuel according to their respective regions.
Application of Fuzzy C Means and Topsis in Warehouse Selection at PT. Warung Islami Bogor Dewi Primasari; Khidir Zahid Muchtadiabillah; Freza Riana
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.223

Abstract

PT Warung Islami Bogor needs a warehouse to store goods that come from suppliers. Currently, the selection of warehouses is still done manually and is subjective. It is feared that this will lead to inaccuracies in renting the warehouse. So an application is needed to assist companies in choosing a warehouse. The fuzzy C-Means method can be used to classify warehouse data based on the characteristics of each group. After obtaining the next group is to make a rating of each group. One method that can be used is the TOPSIS method. The TOPSIS method can be applied to this application to rank the data warehouses that have been grouped. In the selection of this warehouse, there are several criteria. The criteria used are price, building area, distance from the head office (HO), parking area, and number of floors. The calculation process is done by dividing the warehouse data into several groups and ranking them to obtain the best recommendations. This application uses the PHP programming language with the Laravel framework—testing using a black box. Fuzzy C-Means and TOPSIS calculations show that Warehouse CCC is the best warehouse in Cluster 1 with a value of 0.797, and the Warehouse in Front of Gas Station Villa Bogor Indah is the best in Cluster 2 with a value of 0.613.
Sistem Informasi Penggajian Guru dan Karyawan Berbasis Web di Yayasan Pendidikan Silaturahim Jatikarya Muhamad Ilham Mulyana; Dewi Primasari; Nurul Kamilah
Jurnal Etnik: Ekonomi-Teknik Vol 3 No 1 (2024): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v3i1.292

Abstract

The Jatikarya Silaturahim Education Foundation (YPSJ) is a boarding school-based educational institution, the workforce is divided into teachers and employees with their respective job duties. The system that is currently running processes data using Microsoft Excel. However, there are still many obstacles, such as recording salary calculations consisting of position allowances, functional allowances, transportation allowances, special allowances and reductions in salary deductions. So reports and receipt of information to superiors and employees are often late and errors occur. The aim of this research is to analyze payroll processing and calculations, by designing and building a payroll information system that can be managed automatically based on theoretical foundations. Collecting observation data results using writing methods and tools using document flow charts, context diagrams, data flow diagrams, data dictionaries, normalization and table relationships. Research implementation uses the PHP programming language and database creation uses MySQL. In application testing, black-box testing is used, which is a method of designing test data based on software specifications. It is hoped that this teacher and employee payroll information system can be a solution that can be used to simplify the admin process in managing and providing data information accurately and time efficiently.
SISTEM SMART TRAFFIC LIGHT MENGGUNAKAN ALGORITMA YOLOv8 Dewi Primasari; Ghifari Ferdian R; Zakiah Aulia R; Ulfiya Tussyifaa; Arrobi Rot Wiranto
Jurnal Teknologi Terapan Vol 10, No 1 (2024): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v10i1.622

Abstract

Traffic jams have become a serious problem in many countries, including Indonesia. Traffic management is a challenging task, especially in developing countries. One of the causes of traffic jams is long lines of vehicles at intersections because the traffic light signals are on at the same time without paying attention to the number of vehicles queuing. The computer vision approach can be applied as a solution by minimizing waiting time for drivers by adjusting the length of time the green light signal is on based on the number of vehicles in each lane. To carry out this approach, a vehicle detection system was built using the YOLOv8 (You Only Look Once 8th version) algorithm, which operates in real-time. The data used comes from CCTV installed at every traffic light at intersection four. The YOLOv8 algorithm shows high accuracy and efficiency in object detection in various studies. To find out to what extent the YOLO model that has been built can predict the data correctly, it is necessary to evaluate the model by calculating accuracy, recall and mAP50 score. This research aims to build an intelligent traffic light management system using YOLOv8, based on computer vision and the OpenCV library. The results obtained from this system calculation are an accuracy value of 0.689, a recall value of 0.578, and an mAP50 score of 0.65.
SISTEM INFORMASI PENYEWAAN TRUK BERBASIS WEB DI CV MAJU JAYA Nur, Reza Rahim; Jaenudin, Jejen; Primasari, Dewi
INFOTECH journal Vol. 10 No. 1 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i1.8614

Abstract

Information Technology is a technology that is developing rapidly at this time. Progress in every field cannot be separated from technology as its support. Problems faced by CV. Maju Jaya is the unavailability of a web-based system as a medium for truck rental which has been done by customers. The method used to create this web-based truck rental system is to use the waterfall method as one of the system development methods, modeled and documented using Context Diagram designs, Data Flow Diagrams, Entity Relationship Diagrams, and PHP as the programming language used, as well as a MySQL database as computerized data storage and transactions. The result of this research is to create a web-based truck rental system at CV. Maju Jaya to make it easier to carry out rental transactions and publish information.
Kepemimpinan Transformatif dalam Tata Kelola Pegawai di Kecamatan Duren Sawit Jakarta Timur Primasari, Dewi; Biridlo’i Robby, Uchaimid; Ardiyansah, Ardiyansah
ANTASENA: Governance and Innovation Journal Vol. 2 No. 1 (2024): Juni
Publisher : FIA Unkris Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61332/antasena.v2i1.173

Abstract

The aim of this research is to determine and analyze: a) transformative leadership in employee governance in Duren Sawit District, East Jakarta. b) factors inhibiting and supporting transformative leadership in employee governance in Duren Sawit District, East Jakarta. c) efforts to improve employee governance in Duren Sawit District, East Jakarta. The research method uses descriptive qualitative methods. The research instrument was conducting in-depth interviews and documentation. The results of the research are: a) Transformative leadership in employee governance in Duren Sawit sub-district, East Jakarta is still in process with all its advantages and disadvantages, namely leadership that can make the organization better by means of innovation, policy and intelligence by means of empowerment, stewardship and accountability. The sub-district head's transformative leadership in improving employee governance with indicators of charismatic behavior, intellectual motivation, intellectual stimulation, giving attention and consideration to individuals. b) Factors inhibiting transformative leadership in employee governance in the Duren Sawit sub-district, East Jakarta, namely leaders who are not yet optimal in giving attention to all their employees so that they work optimally, human resources who are less skilled and less competent in carrying out their duties and a lack of technological devices and digital applications that can support organizational policies. Meanwhile, supporting factors include better work motivation, transparency in activities, clear organizational structure and main functional duties to support improvements in the organization as well as innovation, creativity and technology transfer that make it easier to improve services. c) Efforts to improve governance. Employee management in Duren Sawit sub-district, East Jakarta is carried out by improving the government's internal control system, training for employees who can transfer knowledge, synergistic collaborative efforts between leadership and staff in accordance with applicable regulations and good planning so that all programs can run well
PENERAPAN METODE FUZZY C-MEANS DAN TOPSIS DALAM REKOMENDASI PERPANJANGAN KONTRAK KARYAWAN Intan Fitriyani, Neneng; Riana, Freza; Primasari, Dewi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.11168

Abstract

Dalam rangka memberikan pelayanan dan perawatan kesehatan yang berkualitas maka perusahaan melakukan penilaian kinerja karyawan guna membantu membuat keputusan perpanjangan kontrak. Penentuan perpanjangan kontrak di Rumah Sakit Bhayangkara Tingkat I Raden Said Sukanto ini dilakukan setiap satu tahun sekali. Permasalahan yang dihadapi adalah belum adanya sistem pendukung keputusan yang menggunakan perhitungan komputer untuk menentukan perpanjangan kontrak karyawan, karena pihak Rumah Sakit masih menggunakan sistem manual untuk menentukan perpanjangan kontrak karyawan sehingga menyebabkan kesulitan bagi pimpinan untuk menentukan perpanjangan kontrak karyawan setiap periodenya. Dari permasalahan tersebut akan dibangun sebuah Sistem Informasi Rekomendasi Perpanjangan Kontrak Karyawan dengan menggunakan Fuzzy C-Means dan TOPSIS. Kriteria yang digunakan yaitu kejujuran, produktivitas, tanggung jawab, komunikasi dan sopan santun, ketrampilan, prilaku kerja, kepemimpinan, pengembangan pribadi, hubungan dan penampilan diri. Proses perhitungannya yaitu dengan cara membagi data karyawan menjadi beberapa kelompok kemudian melakukan perankingan untuk memperoleh rekomendasi terbaik. Pengelompokkan data karyawan dilakukan dengan menggunakan metode Fuzzy C-Means dan perangkingan menggunakan metode TOPSIS. Sistem ini dibangun menggunakan bahasa pemrograman PHP dengan framework Laravel. Hasil pengujian menunjukan bahwa sistem ini dapat membantu Rumah Sakit dalam pengambilan keputusan perpanjangan kontrak karyawan dan memonitoring kinerja karyawan.
Sistem Pendukung Keputusan Dalam Menentukan Siswa Berprestasi Menggunakan Metode Simple Additive Weighting (Studi Kasus: MA Sahid) Nurul Kamilah; Adhitya Nurachman, Muhammad; Dewi Primasari
Jurnal PROCESSOR Vol 19 No 2 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.2.1864

Abstract

Madrasah Aliyah Sahid always holds a selection of outstanding students every semester. The selection of exceptional students is carried out per class by determining the highest score from rank 1 to 3. However, the assessment of outstanding students is still based only on report card scores, so other aspects besides report card scores are not considered as criteria for exceptional students. This raises various problems such as students who have good report card scores but have shortcomings in several other aspects, which means that the selected outstanding students do not reach the required standards and do not get the best candidates. In dealing with this problem, a decision support system is needed to determine outstanding students using the SAW method. This method can produce the best data because it is done by finding the criteria and weight values ​​of each attribute, which is expected to help the school in carrying out the process of assessing outstanding students so that the results obtained are more effective and efficient. These criteria include violation points, achievement points, attendance, and attitudes and behavior. After the criteria are determined, a decision support system is created to determine outstanding students. The system development uses Waterfall which consists of needs analysis, system design, implementation, testing, and improvement process. The results of the system design are in the form of criteria and weight calculations to produce a decision matrix, a normalized matrix, and the results of the calculations in the SAW method.
PERAN DIGITAL MARKETING TERHADAP PENGEMBANGAN UMKM KERIPIK TAHU DI DESA LEUWEUNG KOLOT RW 04 Hendrawan, Ade Hendri; Wulandari, Berlina; Primasari, Dewi; Syafira, Rifa; Najiah, Neng Siti; Rizky Zidan S, M. Adam; Dzikrillah, Zaini Adam; Praguntara, Pefry
SINKRON: Jurnal Pengabdian Masyarakat UIKA Jaya Vol. 3 No. 1 (2025): SEMUA ARTIKEL TERBIT SECARA ONLINE
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jpmuj.v3i1.2351

Abstract

As a result of offline transactions becoming it will be easier for UMKM participants to complete transactions. Digital technology has a significant disadvantage compared to UMKM. Emerging technology uses the more powerful and long-lasting potential of UMKM. Social media and online shopping can help UMKM entrepreneurs make money. It is understood that UMKM students have not actively participated in digital growth, particularly due to their limited understanding of digital marketing. The goal of the community outreach program at UMKM Desa Leuweung Kolot is to provide digital marketing training as a means of generating revenue and as a requirement for any technology-based marketing network.
Co-Authors Adam Pratama Adhitya Nurachman, Muhammad Adithia Hermansyah Akbar Ramdoni Ardiyansah, Ardiyansah Ardiyantoko Ardiyantoko Arrobi Rot Wiranto Asep Mulyana Awaludin, M. Hadid Biridlo’i Robby, Uchaimid Dahlia Widhyaestoeti Deni Arsandi Denny Setiawan Dony Kristiyanto Dzikrillah, Zaini Adam Eka Triyani Erwin Hermawan Fety Fatimah Fitrah Satrya Fajar Kusumah Freza Riana Ghifari Ferdian R Gibtha Fitri Laxmi Hadjimartsu, Sahid Agustian Hari Irawan Azis Hendrawan, A. Hendri Hersanto Fajri I Gusti Bagus Wiksuana Iksal Yanuarsyah Imam, Muhammad Khoirul Intan Fitriyani, Neneng Janaqi M. F Janaqi, Mohamad Fa'ul Jejen Jaenudin Khidir Zahid Muchtadiabillah Kurniawati Kurniawati Maulana, Diki Moh Riswandha Imawan Muhamad Ilham Mulyana Muhamad Mulky Fadillah Muhammad Hamdani Najiah, Neng Siti Novita Br Ginting Nur, Reza Rahim Nurul Kamilah Nurul Kamilah Praguntara, Pefry Puspa Eosina Putri, Debbi Laksana Ritzkal, Ritzkal Rizky Zidan S, M. Adam Rukmana, Tedy Safaruddin Hidayat Al Ikhsan Sahid Agustian Hudjimartsu Setiawan, Foni Agus Sidik, Moch Sahril Syafira, Rifa Ubaidillah, Hadi Ulfiya Tussyifaa Wahyudin Wahyudin Wulandari, Berlina Yasmin Khairunnisa Yolanda Agusti Astri Zakiah Aulia R