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PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) STUDI KASUS: PT. JAYA DUTA INDONESIA Brury Trya Sartana; Reza Fadillah; Ririt Roeswidiah; Dwi Achadiani
IDEALIS : InDonEsiA journaL Information System Vol 4 No 1 (2021): Jurnal IDEALIS Januari 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v4i1.2829

Abstract

Penentuan karyawan terbaik merupakan hal penting agar motivasi kerja seseorang dapat menjadi lebih baik. Pemilihan dengan unsur subyektivitas sedapat mungkin dihindari agar tidak terjadi kekecewaan dan pada akhirnya akan membuat karyawan tidak termotivasi. Oleh sebab itu dibutuhkan sistem yang dapat membantu untuk menentukan secara obyektif karyawan yang memenuhi kriteria-kriteria yang ditetapkan perusahaan. Penelitian ini bertujuan untuk membuat sebuah Sistem Pendukung Keputusan yang dapat menyelesaikan masalah diatas. Metode yang digunakan adalah Analytical Hierarchy Process (AHP). Hasil pengujian sistem pada semua kriteria yang dinilai menggunakan metode AHP menghasilkan nilai Consistency Index (CI) dan Consistency Ratio(CR) yang konsisten, yaitu kurang dari 0.1
IMPLEMENTASI E-COMMERCE PENJUALAN JASA CETAKAN PADA GRAHA PRINTING SOLUTION Agung Wisnubroto; Brury Trya Sartana; Ririt Roeswidiah
IDEALIS : InDonEsiA journaL Information System Vol 4 No 2 (2021): Jurnal IDEALIS Juli 2021
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v4i2.2858

Abstract

Graha Printing Solution adalah jasa percetakan yang dapat mencetak barang cetakan. Kesulitan yang dialami perusahaan adalah sulit mendapatkan calon pelanggan baru karena berada dilokasi yang kurang strategis yang menyebabkan sedikitnya penjualan serta banyak calon pelanggan yang belum mengetahui jenis bahan produk apa yang disediakan dan dapat memproduksi produk apa saja. Hal ini disebabkan karena kurangnya informasi kepada pelanggan sehingga menimbulkan kergauan untuk mengunjungi toko dan melakukan transaksi. Penelitian menggunakan metode business model canvas untuk menganalisa model pengembangan bisnis yang ada dan implementaasi E- Commerce berbasis content management system sebagai solusi untuk permasalahan yang ada dan memberi kemudahan kepada pelanggan untuk mendapatkan informasi. Dengan implementasi sistem E-Commerce ini meningkatkan daya jual dan pelayanan kepada pelanggan semakin baik serta menyelesaikan masalah yang ada.
PROTOTIPE PEMROGRAMAN LINIER SEBAGAI MODEL SISTEM PENUNJANG KEPUTUSAN DALAM PENENTUAN JUMLAH OPTIMAL DOSEN DI SEBUAH PERGURUAN TINGGI STUDI KASUS UNIVERSITAS BUDI LUHUR Ririt Roeswidiah
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 13, No 1 (2016)
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v13i1.438

Abstract

Recruitment and improvement of qualification (level of education and academic positions) of lecturer have to be well planned with proper calculation . This is related to the achievement of the highest grade for the accreditation in terms of the availability of a lecturer in a course of study , is also closely related to the allocation of funds per year that must be provided . Linear programming as one of the models in the Decision Support System, provides alternative optimal solutions for decision makers. Case studies are taken is a matter of planning the development of human resources, especially lecturer Universitas Budi Luhur. Existing conditions are formulated to Linear Programming models. By using the simplex algorithm an application is built to calculate the optimal value, created with the Java programming language , facilitate and accelerate the process of calculating the optimal value of the model.Results of this study are expected to determine the optimal number of lecturer from each study program including the required qualifications, so HRD department do planning & development as well.The results of the prototype test by adapting the software testing standards ISO 9126 concluded that prototype is feasible to use. Keywords : Linear Programming, DSS,Optimal Solutions, Minimum Cost, HRD
Implementasi Tanda Tangan Digital Menggunakan Algoritme RSA dan SHA-512 Berbasis Web Agnes Aryasanti; Mardi Hardjianto; Goenawan Brotosaputro; Ririt Roeswidiah
Jurnal Ticom: Technology of Information and Communication Vol 10 No 3 (2022): Jurnal Ticom: Technology of Information and Communication
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

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

Abstract

A document is a written or printed letter used as evidence. Along with the development of technology, currently documents are not only published in physical or printed form, but also in digital form. Digital documents have the same function as physical documents, but have a weakness that is very vulnerable to the possibility of modification, being transferred by anyone and challenging to prove the document authenticity. One way to prevent this is to make a special mark to ensure that the document is genuine. This particular signature is a digital signature. This study uses the hash function SHA-512 to find the hash value, while the public key encryption uses the RSA algorithm. The test results show that a digital signature system using the RSA and SHA-512 algorithms can secure essential documents from changes by irresponsible people. The process of giving digital signatures does not take long, which is less than one second.
RANCANG BANGUN ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT (E-CRM) DALAM MENINGKATKAN LOYALITAS DAN LAYANAN PELANGGAN (STUDI KASUS PT. DIGIKIDZ INDONESIA) Brury Trya Sartana; Ririt Roeswidiah; Lisaroyan Hidayatulah
Telematika MKOM Vol 9, No 1 (2017): Jurnal Telematika MKOM Vol. 9 No. 1 Maret 2017
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4333.893 KB)

Abstract

Saat ini perusahaan-perusahaan dalam bidang pendidikan maupun jasa sudah mulai menggunakan teknologi informasi demi kemajuan perusahaan dan untuk mengimbangi persaingan dengan perusahaan lainnya. Perusahaan menggunakan banyak cara dalam strategi mereka, salah satunya adalah melalui pelangan. Perusahaan bersaing dalam mendapatkan pelanggan ataupun mempertahankan pelanggan yang loyalitas. Hal ini dapat diwujudkan dengan mengaplikasikan model Customer Relationship Management (CRM) yaitu suatu jenis manajemen yang secara khusus membahas teori mengenai penanganan hubungan antara perusahaan dengan pelanggan dengan tujuan meningkatkan nilai perusahaan dimata pelanggan. PT. Digikidz Indonesia akan berusaha menjadi rekan kerja yang dapat memberikan pelayanan terbaik tanpa mengurangi kualitas, mutu dan kenyamanan. Untuk menjalani komitmennya dan mengatasi segala permasalahan bisnis, PT. Digikidz Indonesia perlu memanfaatkan secara maksimal penggunaan teknologi informasi. Dengan rancangan sistem berbasis web ini, diharapkan dapat menyelesaikan masalah menurunnya loyalitas dan pelayanan yang dialami PT. Digikidz Indonesia.
ANALISIS SENTIMEN PADA MEDIA SOSIAL TERHADAP LAYANAN SAMSAT DIGITAL NASIONAL DENGAN SUPPORT VECTOR MACHINE Anindya Sasi Kirana; Rusdah Rusdah; Ririt Roeswidiah; Ahmad Pudoli
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 1 (2025): Jurnal IDEALIS Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i1.3276

Abstract

Motor vehicle users experience rapid growth every year. The increasing number of vehicles contributes to one of the state revenues: taxes. SAMSAT is a state institution with the authority to regulate motor vehicle tax (PKB). As technology develops, SAMSAT innovates through the SIGNAL application, which allows people to make motor vehicle tax payments safely via cell phone. Social media such as Instagram and X have great potential for collecting data to understand public reactions to the SIGNAL application. Comments on social media regarding the SIGNAL application raise pros and cons from the public; therefore, it is necessary to carry out sentiment analysis through a text mining approach using the Support Vector Machine (SVM) algorithm following the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. This research was carried out through several stages: data collection, preprocessing, modeling with the Support Vector Machine (SVM), and evaluation with a confusion matrix. Data in the research were collected from Instagram social media comments from September 20, 2023, until. 16 April 2024 as many as 3,543 records and 1,335 comments on X's social media from 31 May 2023 until March 27, 2024, with the keyword "SIGNAL application". After the preprocessing stage, the data used was reduced to 3,911 because there were duplicate and irrelevant reviews. based on 3,911 data, it produced 773 positive comments, 1991 negative, and 1147 neutral comments. This research aims to identify public sentiment towards SIGNAL services via social media, such as Instagram. We prepared a dataset of two and three sentiment classes for research modeling needs. Based on the application of the model, a Support Vector Machine (SVM) with a linear kernel produces better scores than the Naïve Bayes and KNN models with accuracy values ​​of 0.88, precision of 0.88, recall of 0.81, and AUC of 0.92 using a 10-fold cross-validation on training data and test data.