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All Journal JSiI (Jurnal Sistem Informasi) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Manajemen Informatika dan Sistem Informasi Journal of Research and Publication Innovation Journal of Fisheries and Marine Applied Science
Febri
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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APLIKASI SISTEM INFORMASI CUSTOMER RELATIONSHIP MANAGEMENT PADA KLINIK RF AESTHETIC Febri; AZ, Nazori; Wahyuddin; Nopiyana, Irma
Jurnal Sistem Informasi Vol 10 No 1 (2023)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v10i1.6123

Abstract

Klinik RF Aesthetic adalah Klinik kecantikan, yang ingin memperluas target pasarnya dan mempertahankan loyalitas pelanggan, dengan memberikan pelayanan sebaik mungkin. Permasalahan yang dihadapi adalah kurangnya dukungan sistem untuk menunjang kegiatan tersebut, misalnya sistem pendaftaran yang dilakukan belum terintegrasi dengan data pelanggan, belum terfasilitasinya sarana menyampaikan saran dan masukan serta testimoni dari para pelanggan. Penelitian ini merupakan penelitian terapan. Penerapan konsep dasar CRM, merupakan salah satu pendekatan untuk memperkuat hubungan dengan pelangan. Dalam melakukan pengembangan sistem, penelitian yang dilakukan ini memanfaatkan metode Waterfaall. Data yang digunakan pada penelitian adalah studi literatur, observasi dan tanya jawab pada tempat terkait. Perancangan sistem menggunakan tool UML, bahasa pemprograman menggunakan PHP dengan framework codeIgniter serta database dengan MySQL. Pada pengujian sistem menggunakan Blackbox. Aplikasi yang dihasilkan berupa web yang berisikan fitur booking online, fitur pendaftaran, fitur pemasaran, dan fitur testimoni. Kata kunci: CRM, Klinik, UML, Waterfall, PHP.
PENGARUH GAYA KEPEMIMPINAN DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN DIVISI SUMBER DAYA MANUSIA PADA PT DOK & PERKAPALAN KODJA BAHARI (PERSERO) JAKARTA UTARA Febri; Sina, Ibnu
Journal of Research and Publication Innovation Vol 2 No 1 (2024): JANUARY
Publisher : Journal of Research and Publication Innovation

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Abstract

The purpose of this study was to determine the Effect of Leadership Style and Work Discipline on Employee Performance at PT Dok & Perkapalan Kodja Bahari in South Jakarta Partially and Simultaneously. The research approach used in this study is the Quantitative Method. The sampling technique used in this study used saturated sampling with a total sample of 75 people. The data collection technique in this study used a questionnaire distributed to employees of PT DDPKB. Data analysis techniques Data using Descriptive Analysis, Validity Test, Reliability, Simple Regression Analysis, Multiple, Classical Assumptions Test, t-test (Partial), F-test (Simultaneous), Correlation Coefficient and Determination. Processing data in research using SPSS 26. Based on research results the results of multiple linear regression tests obtained the value of the regression coefficient that isY = 23.464 + 0,285X1 + 0,177X2. Simultaneous test results produce a significance value of 0.001 < 0.05 which means Leadership Style and Work Discipline have an effect on Employee Performance. Next, the results of the coefficient of determination show a figure of 0.679 means that 67.9% Leadership Style (X1) and Work Discipline (X2) have an effect on Employee Performance (Y) at PT.Dok & Perkapalan Kodja Bahari, while the remaining 32.1% is influenced by variables another. Thus it can be concluded that the hypothesis first (Ha1), second hypothesis (Ha2), and third hypothesis (Ha3) can be accepted.  
Penerapan Good Manufacturing Practices (GMP) pada Industri Pangan Skala Kecil Bakso Ikan Febri; Apriani, Ayu; Lugeri, Leo; Siskawanti, Fitriya; Kurniasari, Megawati
Journal of Fisheries and Marine Applied Science Vol 2 No 3 (2024): OCTOBER
Publisher : PAKIS JOURNAL INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/jfmas.v2i3.376

Abstract

This research examines the implementation of Good Manufacturing Practices (GMP) in small-scale food industries, focusing on a fish ball processing business in Pemangkat District, West Kalimantan. The research methodology includes field observations and interviews to evaluate GMP aspects such as production site conditions, sanitation facilities, equipment, employee hygiene, storage and labeling, and process control. The results indicate that GMP implementation in this business still requires significant improvements in various aspects. The production site does not meet cleanliness and layout standards. Sanitation facilities are far from adequate, with a lack of proper handwashing facilities and improper waste management. Production equipment, though complete, shows signs of corrosion and lack of maintenance. Employee hygiene practices are inconsistent, including the use of personal protective equipment. The product storage and labeling system is not well-organized and does not meet regulatory standards. The absence of written Standard Operating Procedures (SOPs) and consistent monitoring systems for each stage of the production process is also a weakness. This study concludes that comprehensive improvement efforts in GMP implementation are necessary to enhance the safety and quality of the fish ball products produced.
PENERAPAN METODE AGILE DALAM PERANCANGAN APLIKASI BOOKING ONLINE PADA HUMAYRA RENTAL Imam Rofi'i; Febri
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 8 No. 2 (2025): MISI Juni 2025
Publisher : LPPM STMIK Lombok

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Abstract

Perkembangan teknologi informasi dan komunikasi (TIK) yang pesat telah mendorong transformasi digital di berbagai sektor, termasuk industri jasa persewaan kendaraan. Pelanggan kini mengharapkan layanan yang cepat, transparan, dan dapat diakses secara daring. Humayra Rental, sebuah perusahaan rental mobil di Jambi, hingga saat ini masih menggunakan sistem pemesanan konvensional berbasis pencatatan manual yang rentan terhadap kesalahan pencatatan, keterlambatan informasi, dan kesulitan dalam monitoring data kendaraan secara real-time. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi booking online berbasis website bagi Humayra Rental dengan menggunakan metode Agile. Metode ini dipilih karena bersifat iteratif dan adaptif, memungkinkan tim pengembang merespons perubahan kebutuhan pengguna secara cepat dan fleksibel. Sistem dirancang melalui serangkaian sprint pengembangan dan menghasilkan modul-modul utama yang diuji dengan beberapa skenario pengujian. Hasil implementasi menunjukkan tingkat keberhasilan pengujian sistem mencapai 100%, baik dalam skenario input valid maupun tidak valid. Temuan ini menunjukkan bahwa metode Agile efektif dalam mendukung pengembangan sistem informasi yang sesuai dengan kebutuhan pengguna dan meningkatkan efisiensi proses bisnis. Dengan penerapan teknologi ini, Humayra Rental diharapkan dapat bersaing secara lebih kompetitif di era digital serta meningkatkan kualitas layanan kepada pelanggannya.
Prediksi Kelayakan Pemberian Kredit dengan Algoritma Backpropagation Agustin, Dhea Ayu; Febri; Arianto, Dede Brahma
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 14 No 2 (2025): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v14i2.17660

Abstract

One of problems in lending activities is credit risk due to errors in selecting debtors. In this study, the backpropagation algorithm will be used to develop a prediction calculation system that uses features such as age, gender, marital status, occupation, income, number of dependents, loan amount, time period, collateral, home ownership, and loan purpose to predict creditworthiness. To determine the accuracy level of built, a model evaluation was conducted. The model evaluation was carried out using a confusion matrix, but before that, the data used was separated by ratio of 80 : 20, namely 80% for training and 20% for testing. With the best hyperparameters from several hyperparameter tuning scenarios, the scenario used for implementation in the system is screnario model 5 with 2 hidden layers (50 and 25 neurons), ReLU activation function, learning rate 0.001, 500 epochs, batch size 64, adam optimizer, and early stopping, resulting in an accuracy of 98.18% and a f1 Score of 98.33%. These values are excelent amd show that system created can be used as a reference in predicting creditworthiness. In addition, these values show that the backpropagation model is free from overfitting.
Co-Authors Agustin, Dhea Ayu Apriani, Ayu Ibnu Sina Imam Rofi'i Kurniasari, Megawati Lugeri, Leo Nazori AZ Nopiyana, Irma Siskawanti, Fitriya Wahyuddin