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All Journal Seminar Nasional Informatika (SEMNASIF) JRSI (Jurnal Rekayasa Sistem dan Industri) Santika : Jurnal Ilmiah Sains dan Teknologi Cakrawala Repositori Imwi International Journal Engineering and Applied Technology (IJEAT) Jurnal Rekayasa Teknologi Nusa Putra
Dudih Gustian
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Perancangan dan Pembangunan Sistem Pelayanan Data Penduduk dengan Metode BPR (Business Process Reengineering) Adhitia Erfina; Neng Mira Indri Anggraeni; Dudih Gustian
Cakrawala Repositori IMWI Vol. 3 No. 1 (2020): Cakrawala Repositori IMWI
Publisher : Institut Manajemen Wiyata Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.201 KB)

Abstract

Population data is data used for various purposes such as taxpayer services, insurance, health insurance and much more. The process of collecting population data, especially in the Takokak sub-district is still very slow and the data are often not in accordance with the conditions in the community. One of the concepts that can be applied in facilitating population and regional processing is to reengineer the Business Process Reengineering (BPR) business process. In designing the system needed an enterprise architecture model of management information systems in processing population data in order to minimize failure when implementing the system can run as needed. For modeling, UML is used and analysis using the BPR method helps in the process of designing the basic structure of data processing so that it can help the design and development of information systems. The system design carried out in the BPR work plan will be web-based population data processing.
Sistem Pendukung Keputusan Perusahaan yang Berprestasi dalam Sektor Industri dengan Metode Weighted Product Indriyani Indriyani; Dudih Gustian; Sudin Saepudin
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 7 No 01 (2020): Jurnal Rekayasa Sistem & Industri - Juni 2020
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v7i1.374

Abstract

Perusahaan adalah setiap bentuk usaha yang memperkerjakan pekerja atau buruh dengan membayar upah atau imbalan dalam bentuk lain. Perusahaan juga terdapat di Kabupaten Sukabumi salah satunya adalah sektor industri Pemerintah Kabupaten Sukabumi memberikan penghargaan kepada perusahaan dan pelaku usaha yang telah membantu dan partisipasi dalam mendorong pembangunan di Kabupaten Sukabumi. Penentuan perusahaan ini ditentukan oleh DPMPTSP Kabupaten Sukabumi. penentuan perusahaan berprestasi lebih dilihat dari nilai investasi dari setiap perusahaan, data investasi industri selama tahun 2018 mengalami naik turun. Maka diperlukan sebuah penghargaan untuk mendorong perusahaan-perusahaan yang ada di Kabupaten Sukabumi agar terus meningkatkan nilai investasi dan perusahaannya. Nilai investasi yang menurun akan berdampak kepada gengsi daerah dan penyerapan tenaga kerja akan berkurang. Maka perlu di buat sistem pendukung keputusan perusahaan yang berprestasi secara lebih cepat dan akurat dengan metode weighted product. Metode weighted product yaitu menggunakan perkalian untuk menghubungkan rating atribut dimana rating setiap atribut harus dipangkatkan dulu dengan bobot yang bersangkutan. Hasil penelitian membuktikan bahwa sistem ini mampu membantu DPMPTSP Kabupaten Sukabumi dalam proses seleksi penentuan perusahaan berprestasi dengan presentase pengujian sistem oleh ahli IT mendapatkan presentase skor 70,4% dan pengujian oleh pengguna sebesar 76,66 %.
Penerapan K-Means dalam Efektivitas Pembelajaran E-Learning pada Masa Pandemi Covid-19 Seko Lesmana; Atika Fauzia Akbari; Elsa Yulia Rahman; Dudih Gustian
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2020): Peran Digital Society dalam Pemulihan Pasca Pandemi
Publisher : Jurusan Teknik Informatika

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

Abstract

AbstractThis study aims to describe the effectiveness of e-learning learning during the Covid-19 pandemic, after the government made a decision by implementing a Large-Scale Social Restriction (PSBB) system where all activities were home, one of which was in the field of education, precisely after the covid-19 virus was declared entry In Indonesia, learning activities in schools have been transformed into home-based and online learning programs. This was implemented in order to prevent the spread of the Covid-19 Virus so that it would not spread throughout society. The problem that arises is that the online learning process with several methods is not effective to do, this condition is that there is unrest in the community so that there are pros and cons, where the cons are many students who feel overwhelmed by this online learning, while the pros feel that the steps what the government does is very precise. Online learning that students use in this study is learning that utilizes online media such as Google Classroom. The study population was all students of MAN 1 Sukabumi who were taught using the online method. In this study, the K-Means Algorithm is used to help cluster which students are pro with E-learning and students who do not support E-learning. Data collection techniques using online questionnaires / questionnaires using Google Form. The results obtained from research conducted on 639 students of MAN 1 Sukabumi using 4 clusters resulted in C1 38%, C2 46%, C3 13% and C4 3%.Keywords : K-Means, E-learning, Covid-19Penelitian ini bertujuan untuk mengetahui gambaran efektivitas pembelajaran E-learning pada masa pandemi Covid-19, setelah pemerintah mengambil keputusan dengan menerapkan sistem Pembatasan Sosial Berskala Besar (PSBB) dimana seluruh aktivitas dirumahkan salah satunya dibidang pendidikan. Tepatnya setelah virus Covid-19 dinyatakan masuk ke Indonesia, aktivitas pembelajaran di sekolah dialihkan menjadi program belajar dirumah dan berbasis daring. Hal ini diberlakukan dalam rangka menghambat penyebaran virus Covid-19 agar tidak tersebar keseluruh masayarakat. Masalah yang timbul ialah proses pembelajaran daring dengan beberapa metode tidak efektif untuk dilakukan, kondisi ini ialah terjadi keresahan di masyarakat sehingga terjadi pro dan kontra, dimana sisi yang kontra terdapat banyaknya siswa yang merasa terbebani dengan adanya pembelajaran online ini, sedangkan yang pro merasa bahwa langkah yang dilakukan oleh Pemerintah ini sangat tepat. Pembelajaran daring yang digunakan siswa dalam penelitian ini adalah pembelajaran yang memanfaatkan media online seperti Google Classroom. Populasi penelitian yakni seluruh peserta didik MAN 1 Sukabumi yang diajar menggunakan metode daring. Dalam penelitian ini digunakan Algoritma K-Means membantu dalam melakukan cluster terhadap siswa mana saja yang pro dengan adanya pembelajaran E-learning dan siswa yang tidak mendukung terhadap adanya pembelajaran E-learning. Teknik pengumpulan data menggunakan angket/kuesioner secara online menggunakan Google Form. Hasil yang diperoleh dari penelitian yang dilakukan kepada 639 siswa MAN 1 Sukabumi dengan menggunakan 4 cluster menghasilkan C1 38%, C2 46%, C3 13% dan C4 3%.Kata Kunci : K-Means, E-learning, Covid-19
Perancangan Sistem Informasi Izin Cuti Karyawan Dengan Menggunakan Model Service Oriented Architecture (Soa) Berbasis Web Php (Studi Kasus Pada Pt. Niaga Nusa Abadi) Fauzi Yuni Hastuti; Sudin Saepudin; Dudih Gustian
SANTIKA is a scientific journal of science and technology Vol. 10 No. 1 (2020): SANTIKA
Publisher : The Faculty of Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jsa.v10i1.1363

Abstract

Pengimplementasian dari “Perancangan Sistem Informasi Izin Cuti Karyawan Dengan Menggunakan Model Service Oriented Architecture (SOA) Berbasis Web PHP” merupakan salah satu solusi terbaik untuk perencanaan strategi perusahaan dan penggunaan teknologi yang mendukung dalam proses permohonan cuti karyawannya. Sistem informasi ini berbasis web untuk menyajikan informasi pengolahan data permohonan cuti karyawan dengan menggunakan metode Service Oriented Architecture (SOA) dan pemrograman PHP dan MySQL. Tujuan dari sistem ini adalah untuk merancang, mengelola, mengimplentasikan permohonan cuti karyawan pada perusahaan. Implementasi dari sistem informasi ini ditujukan agar proses permohonan cuti karyawan dapat lebih efektif dan efisien. Sistem informasi ini dapat diakses dengan menggunakan perangkat browser.
Perancangan dan Pembangunan Sistem Pelayanan Data Penduduk dengan Metode BPR (Business Process Reengineering) Erfina, Adhitia; Neng Mira Indri Anggraeni; Dudih Gustian
Cakrawala Repositori IMWI Vol. 3 No. 1 (2020): Cakrawala Repositori IMWI
Publisher : Institut Manajemen Wiyata Indonesia & Asosiasi Peneliti Manajemen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/cakrawala.v3i1.34

Abstract

Population data is data used for various purposes such as taxpayer services, insurance, health insurance and much more. The process of collecting population data, especially in the Takokak sub-district is still very slow and the data are often not in accordance with the conditions in the community. One of the concepts that can be applied in facilitating population and regional processing is to reengineer the Business Process Reengineering (BPR) business process. In designing the system needed an enterprise architecture model of management information systems in processing population data in order to minimize failure when implementing the system can run as needed. For modeling, UML is used and analysis using the BPR method helps in the process of designing the basic structure of data processing so that it can help the design and development of information systems. The system design carried out in the BPR work plan will be web-based population data processing.
Quality Assessment of Skincare Products with Simple Additive Weighting Approach to Detect Illegal Skincare Products Dudih Gustian; Ismi Nurhadianti Rusmana; Dede Sukmawan
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 1 (2024): Mei 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i1.105

Abstract

The increasing public need for skincare products encourages manufacturers to innovate in creating products that suit consumer needs. However, with easy access to information in the digital era, new problems have arisen related to the diversity of skincare products on the market, including the rise of fake products containing dangerous ingredients. This research uses the SAW method to evaluate the quality of skincare products based on predetermined criteria. With a large female population in Indonesia and significant growth in online sales of skincare products, this research contributes to helping consumers choose safe and effective skincare products. It is hoped that using the SAW method can identify or reduce the risk of using fake skincare which can endanger skin health and cause serious dermatological problems. Therefore, a thorough understanding of skincare and the use of analytical methods such as SAW are important in the consumer decision-making process
Mapping Research trend in Covid 19 and energy Marina Artiyasa; Marina; Muhammad Natsir; Panji Narputro; Dudih Gustian
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 2 (2024): November 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i2.115

Abstract

This research  delves into the bibliometric analysis of the interconnection between COVID-19 and energy, exploring the scholarly landscape and research trends in these critical areas. By employing bibliometric methods  using biblioshiny to analyze publications, citation networks, and collaboration patterns, this study aims to uncover the impact and visibility of research  from 2020-2023 from scopus index on  keyword COVID-19 and energy. , average citation in document  is 16,54.In H index , We can see that affiliation  Energies. Have highest H index 14, the highest  no of documents belongs to Klemes JJ with 12 documents, We can see that  affiliation  from China university of Petroleum  (East China) have the highest production   article  in year  2023 reach   nearly  20. in this data china have the highest corresponding authors countries , The treemap indicates the most frequently used keywords in articles,in this dataset about covid19 and energy  we  find  Covid 19 and Energy utilization as the   most common word. in emerging or declining themes we find  covid  19, energy utilization and energy efficiency , and in motor themes  we  find human, human  and corona  virus disease 2019 , for basic themes and niche themes is empty
Analisis Kinerja Algoritma Prediksi Saham pada PT GoTo Gojek Tokopedia Tbk (GOTO) Siti Mulia Agustina; Dudih Gustian
Jurnal Rekayasa Teknologi Nusa Putra Vol 11 No 1 (2025): Februari 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/rekayasa.v11i1.402

Abstract

The growth of stock investment in Indonesia is not merely a domestic phenomenon but also has global implications. Indonesia's capital market, with active participation from domestic players and foreign investors, significantly contributes to economic performance. This research aims to identify the best method for predicting the stock prices of PT GoTo Gojek Tokopedia Tbk (GOTO) through a comparison of K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Linear Regression. The study utilizes Google Colab as an evaluation platform with stock price data covering market variations. Three methods are evaluated based on Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) values. Performance evaluation reveals that Linear Regression exhibits near-zero MSE (9.82e-27), RMSE of 9.91e-14, and MAE of 8.71e-14, indicating exceptionally high prediction accuracy compared to KNN and SVM. Based on the evaluation results, Linear Regression stands out as the optimal choice for predicting GOTO stock prices. This finding provides guidance for investors and analysts in making investment decisions.
Sistem Pendukung Keputusan untuk Kebutuhan Persediaan Paket Data dan Pulsa Menggunakan Metode Simple Additive Weighting Muhammad Fachreza Faturrahman; Muhammad Alman Firdaus; Muhamad Rivqi Nurridwan; Muhamad Zidane Mustofa; Dudih Gustian
Jurnal Rekayasa Teknologi Nusa Putra Vol 11 No 2 (2025): Agustus 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/rekayasa.v11i2.642

Abstract

Penelitian ini bertujuan untuk mendukung pelaku usaha mikro dalam menetapkan prioritas stok produk pulsa dan paket data dengan menggunakan metode Simple Additive Weighting (SAW). Studi dilaksanakan di Reza Cell, sebuah bisnis yang menawarkan beragam produk digital untuk kebutuhan sehari-hari masyarakat. Dalam manajemen stok, konter ini menghadapi tantangan akibat ketidaksamaan antara permintaan pasar dan keberadaan produk. Informasi yang terkumpul mencakup penjualan, laba bersih, persediaan, dan pilihan konsumen. Analisis yang dilakukan dengan metode SAW menunjukkan bahwa produk Indosat 2.5GB/5 hari memperoleh skor tertinggi, diikuti oleh Axis 6GB/5 hari dan Indosat 3.5GB/5 hari. Hasil ini menunjukkan bahwa metode SAW dapat memberikan rekomendasi yang terukur dan objektif dalam proses pengambilan keputusan persediaan, serta membantu pelaku bisnis untuk meningkatkan efisiensi penjualan dan mencegah kerugian akibat surplus atau defisit stok.
Co-Authors Adhitia Erfina Atika Fauzia Akbari Dede Sukmawan Elsa Yulia Rahman Fauzi Yuni Hastuti Indriyani Indriyani Ismi Nurhadianti Rusmana Marina Marina Artiyasa Muhamad Rivqi Nurridwan Muhamad Zidane Mustofa Muhammad Alman Firdaus Muhammad Fachreza Faturrahman Muhammad Natsir Neng Mira Indri Anggraeni Panji Narputro Saepudin, Sudin Seko Lesmana Siti Mulia Agustina