Articles
<![CDATA[PERANCANGAN ALAT TIMER TRAFFIC LIGHT MENGGUNAKAN MIKROKONTROLER ATMEGA 8535 BERDASARKAN ANTRIAN JUMLAH KENDARAAN ]]>
<![CDATA[Henny Leidiyana]]>;
<![CDATA[Muhammad Faisal]]>;
<![CDATA[Purnamawati Purnamawati]]>
<![CDATA[ PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 5 No. 1 (2018) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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<![CDATA[Bertambah banyaknya kendaraan membuat lalu lintas semakin padat terutama di kota-kota besar. Oleh karena itu dibutuhkan sebuah perangkat yang bisa mengatur durasi nyala lampu lalu lintas secara otomatis berdasarkan jumlah kepadatan kendaraan per jalur. Pada penelitian ini ini dilakukan perancangan alat timer traffic light menggunakan mikrokontroller ATMega 8535 berdasarkan antrian jumlah kendaraan. Perangkat ini menggunakan LED dan sensor LDR sebagai pendeteksi jumlah kepadatan kendaraan lalu lintas dan Mikrokontroller Code Vision AVR yang diprogram dengan bahasa biner dan heksadesimal. Dari hasil pengujian miniatur pertigaan jalan raya menunjukkan bahwa perangkat mampu mengontrol timer lampu lalu lintas secara otomatis berdasarkan antrian jumlah kendaraan. Jika kendaraan yang terdeteksi melebihi jumlah angka yang ditentukan (padat) yaitu dua maka secara otomatis lampu akan warna hijau dengan durasi waktu 15 detik, jika kepadatan kendaraan sedang maka secara otomatis lampu berwarna hijau dengan durasi lebih sedikit dari yang padat yaitu 10 detik dan terakhir jika lalu lintas kendaraan kosong atau tidak ada kendaran secara langsung lampu berwarna hijau dan durasinya juga lebih sedikit dibandingkan dengan yang sedang yaitu 5 detik.]]>
<![CDATA[Klasifikasi pada Citra Bunga dengan Ekstraksi Fitur Color Histogram ]]>
<![CDATA[Muhammad Ghudafa Taufiq Akbar]]>;
<![CDATA[Henny Leidiyana]]>
<![CDATA[ FORMAT Vol 12, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Mercu Buana ]]>
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DOI: 10.22441/format.2023.v12.i1.007
<![CDATA[Perbedaan ciri pada bunga menyebabkan perbedaan spesies bunga sehingga diperlukan pengetahuan untuk dapat mengklasifikasikannya. Bunga dapat dicirikan dari warnanya. Pada bunga dengan jenis yang sama bahkan bisa memiliki beberapa warna yang berbeda. Salah satu teknik untuk mendapatkan pola bisa dilakukan melalui ekstraksi fitur warna. Penelitian ini mencoba untuk melakukan ekstraksi citra dengan teknik color histogram. Penelitian yang menunjukkan efektifitas ekstraksi fitur warna sebelum melakukan klasifikasi sudah cukup banyak dilakukan. Color Histogram adalah teknik yang paling banyak digunakan untuk mengekstraksi fitur warna dari suatu citra karena mewakili gambar dari sudut pandang yang berbeda. Dataset yang digunakan dalam penelitian ini menggunakan citra bunga dengan bentuk yang hampir sama yaitu sunflower, calendula, black eyed susan, common daisy. Pembuatan model klasifikasi terhadap jenis-jenis bunga tersebut menggunakan algoritma pembelajaran mesin Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbor, Linear Discriminant Analysis, Naive Bayes, Support Vector Machine. Selanjutnya Penulis menggunakan Confusion Matrix untuk mengevaluasi model terlatih dan untuk menghasilkan skor akurasi menggunakan 10-fold cross validation. Skor akurasi tertinggi diperoleh dari model Random Forest sebesar 82%.]]>
<![CDATA[ENSEMBLE STACKING DALAM ANALISA SENTIMEN REAKSI VETERAN MILITER AS TERHADAP PENGAMBILALIHAN AFGHANISTAN OLEH TALIBAN ]]>
<![CDATA[Henny Leidiyana]]>
<![CDATA[ INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/inti.v18i1.4175
<![CDATA[Abstrak— Sentiment analysis can be used to glean information about user opinions and identify social or political trends. There have been many studies on sentiment analysis using machine learning or lexicon-based methods that have been quite impressive. However, machine learning models often have difficulty generalizing to new data due to various reasons, such as overfitting and limited training data. These models are also prone to bias and variance, which negatively affect the accuracy of their predictions. This study discusses the application of the ensemble stacking method in sentiment analysis with the topic of the takeover of Afghanistan by the Taliban. By monitoring social media, the author uses a dataset in the form of comments on YouTube news channels related to the topic raised. Several studies have shown how the ensemble stacking method predicts better than the single model. The research was carried out by creating a sentiment classification model with logistic regression machine learning algorithms, SVM, KNN, and CART then the ensemble stacking classifier formed by the base learner of the four algorithms. As a result, for a single classifier, the highest average accuracy is the logistic regression algorithm of 74.6 percent. The four algorithms are compiled and predicted by logistic regression, and the stacking ensemble classifier that is applied produces better accuracy than the stand-alone classifier, which is 75.3 percent]]>
<![CDATA[SISTEM INFORMASI PENGGAJIAN KARYAWAN BERBASIS WEB MENGGUNAKAN FRAMEWORK LARAVEL ]]>
<![CDATA[Gustina, Rina]]>;
<![CDATA[Leidiyana, Henny]]>
<![CDATA[ Jurnal Sistem Informasi Vol 7 No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsii.v7i1.1726
<![CDATA[Abstrak - PT. Evershine Convertindo merupakan perusahaan yang bergerak dalam bidang Industri Kertas. Sistem yang ada hanya berupa berkas sederhana. Kelemahan dari sistem tersebut tidak efisien, banyak memakan waktu dalam pencatatan dan mengolah proses penggajian. Proses pencatatan dan perhitungan gaji yang diterapkan oleh perusahaan masih bersifat manual sehingga menyebabkan proses gaji sering terlambat. Dalam menyelesaikan masalah tersebut maka penulis merancang suatu sitem informasi penggajian karyawan. Dalam perancangan ini, penulis menggunakan bahasa pemrograman PHP dengan format database MySql, menggunakan Metode Waterfall dan menggunakan framework Laravel. Dengan rancangan sistem tersebut diharapkan perusahaan akan memperoleh beberapa kemudahan dalam menginput data sekaligus membantu pihak perusahaan untuk menyusun laporan penggajian menjadi lebih cepat dan lebih efisien. Kata kunci: Penggajian Karyawan, PHP, MySql, Waterfall, Laravel]]>
<![CDATA[MENGUKUR KEPUASAN MAHASISWA DALAM MENGGUNAKAN APLIKASI MUSIC STREAMING MENGGUNAKAN METODE AHP ]]>
<![CDATA[Rakhmah, Syifa Nur]]>;
<![CDATA[Leidiyana, Henny]]>
<![CDATA[ INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Pada Masyarakat ]]>
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DOI: 10.33480/inti.v19i1.5577
<![CDATA[Online streaming applications are currently very popular among the public, especially students. Because of this user interest, the author wanted to conduct research. This research uses the AHP method to measure students' level of satisfaction with the use of music streaming applications. The research evaluation criteria included quality, service, price and payment. Questionnaires are used to determine student preferences and assessment of related criteria. The collected data was analyzed using the AHP method and the application priorities were compared. These findings will help developers and users improve quality and user experience. The research was conducted using the Analytical Hierarchy Process (AHP) methodology on students in the Bekasi City area with a population of 7058 people and obtained a sample size of 379 respondents using the Slovin formula. The research results show that Spotify is the most popular music streaming application among users, especially students. Followed by applications such as Joox and YouTube.]]>
<![CDATA[Model Klasifikasi Risiko Stunting Pada Balita Menggunakan Algoritma CatBoost Classifier ]]>
<![CDATA[Pahlevi, Omar]]>;
<![CDATA[Wulandari, Dewi Ayu Nur]]>;
<![CDATA[Rahayu , Luci Kanti]]>;
<![CDATA[Leidiyana, Henny]]>;
<![CDATA[Handrianto, Yopi]]>
<![CDATA[ Bulletin of Computer Science Research Vol. 4 No. 6 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/bulletincsr.v4i6.373
<![CDATA[Stunting is a significant health issue in Indonesia, affecting the growth and development of young children and influenced by various complex risk factors such as nutrition, environment, and access to healthcare services. The manual process of identifying stunting risks often requires considerable time, resources, and specialized expertise from medical professionals. This study aims to develop a stunting risk classification model for young children using machine learning through the CatBoost Classifier algorithm. This algorithm was chosen for its advantages in handling categorical variables without requiring complex encoding processes and its ability to manage imbalanced data, ultimately improving prediction accuracy. In the conducted case study, the model's prediction updates were illustrated by increasing the initial prediction from 0.25 to 0.27 after accounting for residual corrections in the first iteration, with a learning rate of 0.1. This process demonstrates CatBoost's iterative mechanism for improving model predictions through gradual updates. Evaluation results showed that the developed model achieved an accuracy of 98.47% and a ROC-AUC score of 1.00 for several classes, indicating a high capability in accurately classifying stunting risks. These findings suggest that the CatBoost algorithm is effective for stunting risk classification, capable of handling data complexity, and expected to contribute significantly to supporting stunting prevention efforts through improved early detection.]]>
<![CDATA[Aplikasi Kehadiran Karyawan Berbasis Android Menggunakan QR Code Scanning dan Location Based Service ]]>
<![CDATA[Iskandar Yusuf]]>;
<![CDATA[Henny Leidiyana]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 2 No. 1 (2021): Juni 2021 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/e2h00870
<![CDATA[Employee attendance is an administrative process that is carried out every day. Use of a manual system for events prone to damage or loss. Not to mention employees who forget attendance records, which will cause delays in the flow of employee attendance information. As a solution to the existing problems is by designing an application to make presence using Android-based QR Code Scanning and Location-Based Services (LBS). QR Code technology is very efficient because the code can be read in a very short time using a smartphone while the Location Based Service (LBS) is to prevent employees from making presence outside the area determined by the company. The design of this application produces a paperless system and prevents manipulation of attendance data because in this application it is implemented that one employee only asks for one device ID or smartphone IMEI]]>
<![CDATA[Penerapan Soft Sistem Methodelogy Pada Pengembangan Sistem Informasi Akademik (Studi Kasus di SMKN 6 Kota Bekasi) ]]>
<![CDATA[Ani Yoraeni]]>;
<![CDATA[Henny Leidiyana]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 2 No. 1 (2021): Juni 2021 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/y89ng241
<![CDATA[Academic information systems are important in teaching and learning activities, this is supported by adequate facilities and infrastructure. To support this, a system must be made that is able to assist in the teaching and learning process, namely by developing an academic information system. This development system uses the social system methodology method with the aim of helping the school's academic field achieve its goals and facilitate the teaching and learning process. This approach is designed using CATWOE analysis with components, namely customers, actors, the transformation process, world view, and the environment. The results of this study are able to answer the school's need for an effective and efficient system so that it can improve the performance of all school goals.]]>
<![CDATA[Penerapan Arduino Mega 2560 pada Mesin Cetak Tiga Dimensi ]]>
<![CDATA[Indrawan Bagus Pertiaz]]>;
<![CDATA[Henny Leidiyana]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/x2ekch09
<![CDATA[The design and design of this three-dimensional printing machine concentrates on robotics enthusiasts who are very difficult to find prototype machine covers. The purpose of this research is to create a 3D printer machine design for users in order to shorten the time of making prototypes and be faster and more precise to make a container for robotic prototype needs. The supporting equipment used in the manufacture of the 3-dimensional printing machine in this research is Arduino Mega 2560, Ramps 1.4, A4988 Stepper Motor Driver, ESP8266 WIFI Module, HotEnd, HeatBed, Stepper Motor. The author conducted a test test of several different types of filaments. The research method used is an experimental quantitative method by providing input from the designed tool and then observing the results of the output. The stages of this research are analyzing the problem, defining problems and needs, designing, and measuring the level of accuracy and strength of the type of material used for printing between PLA (Polylactic Acid) filaments and ABS (Acrylonitrile Butadiene Styrene) filaments. From the two results, PLA requires a hotend temperature of 195 degrees Celsius with a heatbed temperature of 65 degrees Celsius, while ABS requires a hotend temperature of 250 degrees Celsius with a heatbed temperature of 110 degrees Celsius and it can be concluded that the strength level of ABS is stronger than PLA.]]>
<![CDATA[Implementasi Metode SVM untuk Klasifikasi Bunga dengan Ekstraksi Fitur Histogram of Gradient (HOG) ]]>
<![CDATA[Henny Leidiyana]]>;
<![CDATA[Warta, Joni]]>
<![CDATA[ Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022 ]]>
Publisher : <![CDATA[Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya ]]>
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DOI: 10.31599/f3cgcv61
<![CDATA[Feature extraction techniques are applied to obtain features that will be useful in classifying and recognizing images. Feature extraction techniques are very helpful in various image processing applications. Many studies show the effectiveness of feature extraction before classification. There is also research showing that a feature extraction method may be good for certain classification approaches but may also be preferable. The impact of the sample and its size can also determine the results of the application of feature extraction techniques in the classification process. In this study, the author aims to prove the effectiveness of the application of the HOG feature extraction technique on the classification with the SVM method on flower images. The experiment was carried out on two groups of images, where the first group was image classes with relatively uniform colors and shapes, both in shape and color. and the second group is image classes with relatively different colors and shapes in the same class. The results showed that image datasets with relatively uniform colors and shapes do not require the application of any feature extraction to produce high accuracy. For classification by performing feature extraction in this study it gives different results for the two interest groups.]]>
