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PERANCANGAN WEBSITE PENGELOLAAN DATA KARYAWAN UNTUK PENERAPAN KEBIJAKAN WFH PADA PT. MEDIA KOTAK PINTAR Islamiatik, Fena Ayu; Kurniawan, Rudi
CONTEN : Computer and Network Technology Vol. 3 No. 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v3i2.2505

Abstract

The research conducted at PT. Media Kotak Pintar highlights the challenges arising from the adoption of Work From Home (WFH) practices, which have not been fully addressed. The company faces difficulties in managing employee data, particularly in the manual and fragmented online leave request process across different platforms. Therefore, this study aims to design a web-based system to address these issues. The research methodology employed is Prototyping, involving stages such as needs identification, rapid design, prototype development, testing, and communication with users. Figma is used for designing the website interface, while MySQL serves as the database. The designed employee data management system encompasses attendance records, salary information, and leave requests. The system aims to facilitate employees in efficiently managing their data, expediting the leave request process, and ensuring data consistency. The implementation of this system is expected to enhance the efficiency of the HR department and provide a better experience for employees in managing their data and leave processes. This research is relevant in the context of evolving work dynamics during the pandemic, where WFH has become the norm.
Sentiment Analysis of Google Play Store User Reviews on Digital Population Identity App Using K-Nearest Neighbors Kurniawan, Rudi; Wijaya, Harma Oktafia Lingga; Aprisusanti, Rani Purnama
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2071

Abstract

The Digital Population Identity Application provides convenience for users to access and manage their population data digitally. Based on the increasing usage of the Digital Population Identity Application on the Google Play Store, various user reviews of the application have emerged. Therefore, sentiment analysis is needed to provide a deeper understanding of user perceptions and to classify user reviews of the Digital Population Identity Application. Sentiment analysis is a computational study of opinions, feelings, and emotions expressed in text, using the K-Nearest Neighbors method, which is a classification method based on the closest distance or similarity to objects in the training data. Using 5000 relevant review data from September 2022 to December 2023, after labeling them into positive, negative, and neutral sentiment classes, the results show 3581 negative sentiments, 1031 positive sentiments, and 388 neutral sentiments. Testing was conducted by applying the K-Nearest Neighbors method in the classification stage, testing this method by varying K values from 1 to 10. The best results were obtained with a training data ratio of 90% to testing data ratio of 10%. The best results were achieved at K values of 8, 9, and 10, with an accuracy of 81%, precision of 82%, recall of 95%, and an F1-Score of 88%. With a training data ratio of 70% to testing data ratio of 30%, the best results were obtained at K values of 6, 7, 8, 9, and 10, with an accuracy of 80%, precision of 81%, recall of 95%, and an F1-Score of 88%. Based on the results of this research, the K-Nearest Neighbors method can be used for sentiment classification of user reviews with good results.
Reducing Resistance to Organizational Change by Promoting Change Leadership: A Study of The MBKM Curriculum Implementation in Higher Educational Institutions Mujib, Miftachul; Fahmi Wardhani, Masitha; Kurniawan, Rudi
International Journal of Science, Technology & Management Vol. 4 No. 6 (2023): November 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i6.999

Abstract

The purpose of this study is to investigate how change information affects resistance to organizational change in the context of MBKM Curriculum implementation. We also examine the moderating role of change leadership on the effect of change information on resistance to change in the MBKM Curriculum implementation. The population of this research is all lecturers in Indonesia. The number of samples used was 156 obtained by random sampling technique. Data processing was carried out using the SEM-PLS methode by the Warp-PLS 6.0 application. The results show that change information has a negative effect on resistance to changes in the MBKM Curriculum. Change leadership also has a negative moderating role in the relationship between change information and resistance to changes in the MBKM Curriculum. The results of this study enrich the literature on organizational change management in particular by clarifying the antecedents of resistance to organizational change, namely change information. This research shows the importance of higher education institutional leaders to implement change-oriented leadership in overseeing the implementation of changes to the MBKM Curriculum.
Menguak Perilaku Konsumtif Generasi Z dalam Penggunaan Digital Payment dan Literasi Keuangan Berdasarkan Mental Accounting : Sebuah Studi Fenomenologi Ferrina Ermalina Rumbik, Ferrina Ermalina Rumbik; Kurniawan, Rudi; Ginting, Rafles
Jurnal Akuntansi Vol 12 No 2 (2024): AKUNESA (Januari 2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tujuan penelitian ini yaitu untuk menguak bagaimana peran mental accounting dan mengungkapkan secara mendalam apakah Generasi Z menggunakan Digital Payment dalam transaksi berbelanja dan bagaimana implementasi generasi Z dalam menerapakan Literasi Keuangan dengan maksimal dan menguak apakah Digital Payment membuat tingkat konsumtif Generasi Z semakin tinggi. Penelitian ini menggunakan metode kualitatif dengan pendekatan fenomenologi sebagai strategi untuk memperoleh pemahaman mendalam tentang pengalaman subjektif dan interpretasi individu atau kelompok tertentu. Lokasi penelitian dilakukan di Kota Pontianak. Informan dari penelitian ini adalah generasi Z. Dalam penelitian ini teknik pengumpulan data dilakukan dengan observasi, dokumentasi, dan wawancara. Analisis data yang digunakan yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Hasil dari penelitian ini mengungkapkan berbagai faktor yang membuat perilaku konsumtif Generasi Z dalam menggunakan pembayaran digital. Faktor-faktor ini mencakup kemajuan teknologi, promosi, diskon, kemudahan proses transaksi, kepraktisan, pemahaman tentang uang digital, lingkungan, dan kesadaran terhadap risiko keuangan. Generasi Z yang memiliki pemahaman yang lebih baik tentang konsep pengelolaan keuangan lebih bijak dalam pengambilan keputusan pembelian dan mampu membuat anggaran, mengatur prioritas pembelian, dan mempertimbangkan nilai fungsional barang lebih efektif dalam menghindari pembelian impulsif yang tidak bermanfaat. Kata Kunci : Mental Accounting, Digital Payment, literasi keuangan, perlilaku konsumtif, generasi Z
Water Quality Control System Based on Web Application for Monitoring Shrimp Cultivation in Sidoarjo, East Java Fariza, Arna; Setiawardhana, Setiawardhana; Dewantara, Bima Sena Bayu; Barakbah, Aliridho; Pramadihanto, Dadet; Winarno, Idris; Badriyah, Tessy; Harsono, Tri; Syarif, Iwan; Sesulihatien, Wahjoe Tjatur; Susanti, Puspasari; Huda, Achmad Thorikul; Rachmawati, Oktavia Citra Resmi; Afifah, Izza Nur; Kurniawan, Rudi; Hamida, Silfiana Nur
GUYUB: Journal of Community Engagement Vol 4, No 3 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v4i3.7245

Abstract

Shrimp farming plays a crucial role to the Indonesian economy, but it is facing challenges from shifting weather patterns and global warming. This research focuses on the development and implementation of a web-based water quality monitoring system for shrimp farming to address these concerns. The research, conducted in collaboration with shrimp farmers in Sidoarjo, East Java, introduces PENS Aquaculture program, which is designed to efficiently monitor pH, salinity, and temperature. The system employs Internet ofThings (IoT) technology, which allows farmers to register several ponds, analyze water parameters, and receive real-time data through tables and graphs. The research takes a mixed-methods approach, integrating quantitative data from IoT devices with qualitative insights gathered through surveys and interviews with shrimp farmers. The study aims to evaluate the influence of IoT technology on shrimp pond quality and its contribution to the production. The findings show that PENS Aquaculture application is helpful in increasing shrimp farming efficiency, providing significant insights for the fisheries and cultural sectors.
PENGARUH HARGA, PROMOSI, KUALITAS PELAYANAN TERHADAP KEPUASAN KONSUMEN MCDONALD'S SEMARANG Adinda Maharani, Azahra; Ibnu Fitroh Sukono Putra, Febrianur; Didiek Wiet Aryanto, Vincent; Kurniawan, Rudi
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol 4 No 1 (2024): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/dinamika.v4i1.473

Abstract

ABSTRACT The growth of the both traditional and fast-food culinary sector has been rapid and to maintain consumer satisfaction, it is a crucial factor for determining the progress of culinary business growth. Therefore, the objective of the study is to examine the influence of prices, promotions, and quality of service on consumer satisfaction at McDonald's Restaurant Semarang. The data was collected through the completion of questionnaires and it was analysed by using the double linear regression. The research findings indicate that the factors of price, promotion, and quality of service affect significant impact on consumer satisfaction at McDonald's Restaurant Semarang. Through the partial test, it revealed that consumer satisfaction is significantly impacted by both promotion and quality of the service, while the price has no significant influence on customer satisfaction. ABSTRAK Perkembangan industri kuliner terjadi dengan sangat pesat dan tidak terbatas pada makanan tradisional, namun juga restoran cepat saji. Kepuasan konsumen menjadi indikator penting dalam menentukan arah pengembangan bisnis kuliner. Tujuan riset ini ialah guna menganalisis dampak harga, promosi, dan kualitas pelayanan akan kepuasan konsumen restoran McDonald’s Semarang. Data diperoleh dari pengisian kuisioner dan dianalisis menggunakan regresi linear berganda. Keluaran penelitian mengunjukkan bahwa harga, promosi, dan kualitas pelayanan mempunyai dampak signifikan secara simultan akan kepuasan konsumen restoran McDonald’s Semarang. Uji Parsial (Uji t) mendapati bahwa promosi dan kualitas pelayanan mempunyai dampak signifikan akan kepuasan konsumen sementara harga tidak mempunyai dampak signifikan akan kepuasan konsumen.
Pemanfaatan Pengenalan Citra Kematengan Jengkol Untuk Saran Masakan Menggunakan Metode Algoritma Deep Learning Sanjaya, Handika; Kurniawan, Rudi; Rusdiyanto
Bulletin of Computer Science Research Vol. 4 No. 4 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i4.358

Abstract

Currently, technological development is progressing rapidly. One of the areas is in artificial intelligence and computer vision technology. One of the branches of science studied in artificial intelligence and computer vision technology is deep learning, which focuses on the use of artificial neural networks that learn about classification and object detection directly through images and videos. With the advent of deep learning, researchers are focusing on developing a jengkol (dogfruit) ripeness detection system using deep learning methods. This research uses 1500 jengkol images as a dataset and uses Roboflow for labeling. The results of the labeling will be divided into 3 types of classes: young, medium, and old jengkol. The YOLOV5 algorithm is used for training the jengkol dataset. The next stage is testing, where the approaches used are confusion matrix, classification report, Mean Squared Error (MSE), and Root Mean Squared Error (RMSE), as well as the F1-Score value. The purpose of this testing is to see the precision results and identify the optimal accuracy on data from the trained model that can be achieved by the system being tested or evaluated, which involves compiling a classification report into three categories: young, medium, and old, based on visual characteristics that can be detected by the deep learning algorithm. From the real-time testing and evaluation results obtained in this study, the accuracy value is 80%.
Pengaruh Penambahan Nano-Aditif Ke Dalam Fluida Polyolester Terhadap Gesekan Dan Keausan Material AISI52100 Vs Cast Iron Ramadhan, Fajar; Fuadi, Zahrul; Kurniawan, Rudi; Rahmadiawan, Dieter; Nasution, Arya Rudi
Rekayasa Material, Manufaktur dan Energi Vol 6, No 1: Maret 2023
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v6i1.13600

Abstract

Synthetic lubricants have environment problems because they are difficult to decompose and be-come pollutant materials when disposed into the environment. Therefore, there is an increasing demand for biodegradable lubricants. One of the methods to achieve biodegradability of a lubricant is by using eco-friendly base material and nanoparticles from organic materials as additives, such as nanofibers, cellulose and graphene nanoplatelets. In previous studies, it has been confirmed that applying bacterial cellulose at various volume percentages into polyester (POE) oil has reduced friction and wear of the material up 49%. Other studies also mentioned that the addition of several layers of graphene as an additive to Polyalphaolefin (PAO) oil have decreased the value of the fric-tion coefficient from 0.15 to 0.08. In this study, due to their desirable properties, the bacterial cellu-lose (BC) and graphene nanopartcles were used as additives in polyester (POE) oil. Four types of lubricant specimens with different additive content were prepared for the study. The friction tests were carried out using a reciprocating pin on disk type tribometer at temperatures of 65°±3°C and 27°C. The results indicated improvements in the tribological properties; 60% friction reduction at temperature of 65°±3°C and 66.7% at a temperature of 27°C, with the presence of both BC and graphene in POE compared to those without the additives. In addition, the wear analysis from the results of micro-surface observation of the specimen indicates the reduction of the specific wear rate values as the effect of additives. It is found that the specific wear rate decreased from 6.09×10-6 mm3/N.m to 4.82×10-7 mm3/N.m at 65°±3°C and from 1.57×10-6 mm3/N.m to 2.38×10-7 mm3/N.m at 27°C with the presence of both BC and graphene in POE compared to those without the addi-tives.
Apply Dots M-Health terhadap Peningkatan Minum Obat dan Kualitas Hidup Pasien Tuberkulosis Paru Noviati, Elis; Sukmawati, Ima; Masru’ah, Iim Imas; Kurniawan, Rudi
Journal of Telenursing (JOTING) Vol 5 No 2 (2023): Journal of Telenursing (JOTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joting.v5i2.8024

Abstract

This study aims to determine the effectiveness of Apply Dots M-Health in improving medication taking and quality of life. Pulmonary Tuberculosis Patients. This research method is quantitative research with a quasi-experimental one-group pretest-posttest design method. The results of the analysis using the Wilcoxon test obtained a p-value of 0.000 (ρ value < α (0.05)). In conclusion, there is an influence of DOTS M-Health on increasing medication taking and the quality of life of pulmonary tuberculosis patients. Keywords: DOTS M-Health, Medication Adherence, Quality of Life, Pulmonary Tuberculosis
Peningkatan Akurasi Klasifikasi Tingkat Kesejahteraan Keluarga di Desa Dukuhbadag Menggunakan Algoritma Decision Tree Hidayat, Taufik; Kurniawan, Rudi
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 1 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No1.pp102-109

Abstract

The level of family welfare in Dukuhbadag Village, Kuningan Regency, perhaps stems from the desire to understand and discover the elements that contribute to the level of family welfare in the area. The core problem in DukuhBadag Village is that it does not yet have an optimal assessment method to ensure the welfare status of the family. The methodology used namely the Decision Tree Algorithm, was chosen as a tool to provide potential future welfare decisions by applying predictions to guarantee that the information depends on the current collection of data types. This research aims to increase the accuracy of the classification of family welfare levels in the village, by applying the Decision Tree algorithm. The test results show that the application of the Decision Tree algorithm succeeded in increasing the accuracy of the classification of family welfare levels in Dukuhbadag Village, by achieving an accuracy of 72.43%. By predicting the condition of family welfare more accurately, it is hoped that this research can provide valuable information regarding the status of family welfare. This information can be the basis for improving development policies at the village level, ensuring more appropriate and effective aid allocation.
Co-Authors A.A. Gede Agung Abdul Ghani, Raihan Abdussamad . Adawiyah , Rabiatul Adinda Maharani, Azahra Aditia Aditia Putra Pranjaya Aditya Nugroho Afifah, Izza Nur Agni, Vega Putra Dwi Agung Pranata AGUNG SEDAYU Agustin, Maulina Aisy, Rahadatul Alfirda Sofyan, Zahra Ali Ridho Barakbah Ali, Luthfi Gosan Alif Prayudha, Bimo Amaliah, Novi An-naziz Safaat, Wafik Andini, Selvi Andriani, Meri Andriyani, Wini Anggraeni, Anggi Annisa Desty Puspatriani Anwari, Saeful APRIANDY, KEVIN ILHAM Aprianto, Wili Aprisusanti, Rani Purnama Ariati Anomsari Aribah, Firyal Arip Budiman, Arip Arisa, Arisa Armanda, Dicky Arna Fariza Aruni , Fidhia Aruni, Fidhia Arya Rudi Nasution Aryanto, Vincent Didiek Wiet asep gunawan Asmarani, Sri Utami Awaludin, Ade Ayu Endang Purwati Ayulinda, Arianisah P. Azzahrah, Dynda Shafiyah Bahri, Saiful Belli Nasution Bima Sena Bayu Dewantara Bimastari Aviani, Tri Hasanah Chasanah, Amalia Nur Chulyatunni’mah D.A, Dyah Kuntorini Dadan Suhendar, Asep Dadet Pramadihanto Danar Dana, Raditya Darma Irawan, Bobi Darussalam, Luthvi Nurfauzi Dayanti, Resda Dermawan, Hibrizi Dzaky Dewiyana, Dewiyana Diana Aqmala Diana Puspitasari Dwi Budi Santoso Enik Sulistyowati Ernawati Ernawati Fahmi Wardhani, Masitha Fajar Ramadhan, Fajar Falih, Alfi Rizqi Falih Fanny Rifqi El Fuad, Fanny Rifqi Fauzan . Febrianur Ibnu Fitroh Sukono Putra Ferrina Ermalina Rumbik, Ferrina Ermalina Rumbik Fikri, Achmad Firmansyah, Tegar Fitriani Fitriani Fitriyani, Ida Gifthera Dwilestari Gilang Ramadhan Gusfiani, Vivi Haekal Susanto, Ahmad Hamida, Silfiana Nur Hamonangan, Ryan Harapan Harapan Hayati, Umi Heni Marliany Herdiana, Ruli Herwantono, Herwantono Hidayat, Asep Toyib Hidayat, Muhamad Taufiq Hidayat, Peri Huda, Achmad Thorikul I Made Tegeh Ichsan Ichsan Ida Farida Idris Winarno Ikhwan Fahruddin, Yusuf Ima Sukmawati, Ima Inawati, Windi Islamiatik, Fena Ayu Ismail Ismail iwan Syarif j.ezugwu, umezurike Jannah, Zahratul Jayawarsa, A.A. Ketut Junaidi Junaidi Kamil, Qatrunnada Kaslani Khairani Daulay, Nelly Khristina Yunita Komala, Wulan Kristianti, Veronica Ernita Kurniadi, Yudi Kurniawan, Efik Kusman Ibrahim Kusmiyaty, Agesty Kusuma, Fujianti Kusumawaty, Jajuk Lingga Wijaya, Harma Oktafia Lorentiana Wijayanti, Rima M Rusdi M. Azka Kesuma Wardana Maelani, Imelda Maimun Syukri, Maimun Makhfud Syawaludin Manzis, Zian Masru’ah, Iim Imas MJW, Endrian Mohamad, Fatma Susilawati Monica, Intan Mubarok, Khoirul Mudatsir Mudatsir Muhaimin, Ahmad Muhamad Chairul Basrun Umanailo MUHAMMAD FAHMI Muhammad Muhammad Muhsin Muhsin Muhyi, Adbdul Mujib, Miftachul Muktar, Muktar Mulyawan, Mulyawan Mustofa Bisri, Mu'ammar Muzaki, Fazri Narasati, Riri Narasati Naufan, Muhammad Hilmy Nining Rahaningsih NOVIANTI, ELIS Noviati, Elis Nur Amalia, Yustika Nur Hamidah, Nur Nurapandi, Adi Nurazijah, Wulan Nurbaiti, Seni Nurholipah, Titin Nurmalawati, Nurmalawati Nurmasyahyati Nurmasyahyati, Nurmasyahyati Nurul Huda Nurul Kamaly Oktavia, Vicky Pamungkas, Angling Sadewo Aji Perdana, Tito Aditya Pratama, Annisa Salsabilah Pratama, Vishal Indu Prikurnia, Anas Khair Purusa, Nanda Adhi Purwo Suwignyo Puspitasari, Yeni Putri ayu, Putri Ayu Dara Sekarwangi Putri, Widia Rachmawati, Oktavia Citra Resmi Rafila, Amal Julio Rafles Ginting Rahmad Nuthihar Rahmadiawan, Dieter Rahman Sahputra, Rizky Rahman, Sakilah Rai Fatkaozi, Ahmad Ramadhan, Teddy Muhammad Rano Raudotul Janah, Fina Ria Kurniawati Rifaai Alldi Ananda, Muhamad Riyana, Iis Rizki Ani, Fitri Rizki Fauzi, Ahmad Rizki Lesmana, Ghali Rizki, Fido Rizqi, A Faisal Maulana Rocky Putra A Rusdiyanto Sabilla, Raissa Sabri Saeful Anwar, Saeful Safitri, Maria Safrida Safrida Safrida Safrida, Nila Salma Munada, Mutiara Samsul Anwar Samsuryadi Samsuryadi Sandova, Firdaus Sanjaya, Handika Sari Rusmita Sasabone, Luana Septian Nugraha, Titan Sesulihatien, Wahjoe Tjatur Setiani, Tia Setiawardhana, Setiawardhana Shalihah, Ghina Sholeha, Mia Sintaningrum, Picantia Bunga Situmeang, Alona Sofyan, Sarwo E. Sofyan, Verra Rosyalia Widia Sugiyono . Suhita Whini Setyahuni Sunardi, Lukman Supratati, Tati Suprihartini, Yayuk Suryawijaya, Tito Wira Eka Susana, Heliyanti Susanti, Puspasari Syach Putra, Yanuar Syafruddin, Muhammad Andri Taryana Taryana, Taryana Tati Suprapti Taufik Hidayat Tedjo Darmanto Tedjo Darmanto Tessy Badriyah, Tessy Tri Harsono Triswanto, Triswanto Vitriyan Espa Wabula, Abdul Latif Wahyudi Wahyudi Wahyunisari, Nina Waqar Mazhar, Muhammad Widianto, Fuad Hassan Widiawati, Fitri Wijaya, Yudhistira Wijaya, Yudhitira Arie Winayah, Winayah Yudhistira Arie Wijaya yulani, Yulani - Yulia, Yuli Yusnawati, Yusnawati Yusuf Sidiq, Yusuf Sidiq Zahara, Ana Zahrul Fuadi Zulius, Antoni