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All Journal Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Sistem Informasi Kaputama (JSIK) ADI Journal on Recent Innovation (AJRI) Journal of Applied Science, Engineering, Technology, and Education Startupreneur Business Digital (SABDA Journal) PUBLIDIMAS
Bob Subhan Riza, Bob Subhan
Universitas Potensi Utama
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

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Sistem Promosi Jabatan Dengan Menggunakan Analytic Network Process (Studi Kasus di PT. Maxi Media) Riza, Bob Subhan; Iriani, Juli
Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) 2015
Publisher : Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.747 KB)

Abstract

Kinerja karyawan merupakan salah satu faktor yang dapat menentukan baik buruknya jalannya sebuah perusahaan. Sebuah perusahaan pada umumnya memiliki karyawan yang menempati sejumlah posisi ataupun jabatan, baik itu di level staf ataupun kepala bagian. Untuk mendapatkan promosi jabatan disebuah perusahaan, tentulah ada proses penyeleksian karyawan yang telah memenuhi kriteria dan persyaratan. PT. Maxi Media menggunakan cara manual dalam proses penyeleksian karyawan yang memenuhi syarat untuk mendapatkan promosi jabatan. Metode ANP dapat digunakan untuk membantu para pengambil kebijakan di sebuah perusahaan untuk menyeleksi karyawan yang akan mendapatkan promosi jabatan. penelitian ini dilakukan dengan memberikan kuesioner kepada pimpinan ataupun kepala bagian. Data dari kuesioner ini kemudian diolah dengan menggunakan software Super decisions yang akan dengan menggunakan 9 kriteria dan 1 alternatif terhadap 4 karyawan adalah A. Mulyatno, Ilham Setiadi, Hardianto, Nazarudin. Hasil penilaian yang dilakukan terhadap karyawan dengan metode ANP ini bahwa A. Mulyatno rangking 2 dengan 20%, Ilham Setiadi rangking 3 dengan 18%, Hardianto rangking 1 dengan 53% dan M. Nazaruddin rangking 4 dengan 12%, hasil penilaian tersebut maka yang mendapatkan promosi jabatan adalah Hardianto dengan persentasi 53%.
APPLICATION OF RSA AND LSB IN SECURITY OF MESSAGES ON IMAGERY Riza, Bob Subhan; Mashor, Mohd Yusoff; Haryanto, Edy Victor
ADI Journal on Recent Innovation (AJRI) Vol 1 No 1 (2019): AJRI (ADI Journal on Recent Innovation)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v1i1.96

Abstract

In this study is to discuss cryptography and steganography where the function is to insert a message or text into an image with JPG extension, the text to be inserted into the image has been encrypted using the RSA method so that the file is safer to be inserted into images, messages that are inserted into a blue image, this application aims to secure a message that you want to save, this application is made made using Android Studio and can be run on a mobile phone.
Implications of Digital Marketing Strategy The Competitive Advantages of Small Businesses in Indonesia Kano, Katoyusyi; Choi, Lee Kyung; Riza, Bob subhan; Dinda Octavyra, Regina
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (925.884 KB) | DOI: 10.33050/sabda.v1i1.72

Abstract

In the current era of technology, it provides many impacts and innovations that can provide more effective solutions in various fields. With digital marketing as an alternative solution, digital marketing can now overcome problems such as lack of funds and limited promotions faced by medium to low-income businesses. The alternative solution is obtained with the current social media such as Twitter, Instagram, Website, and Facebook to create brand awareness, loyalty, sales, and engagement. So the purpose of this study is to find out the use of marketing strategies from several lower-middle businesses that have gone online and their implications for the competitive advantage of these lower-middle businesses. The method used in this study uses quantitative methods with causality analysis with a population of more than 21,000,000 consumers using a non-probability sampling technique using random sampling with a total sample of 2,100 respondents. So based on the research that has been done, it was found that in marketing products with a digital strategy, 78% of the results were obtained, with the remaining 22% being factors originating from other factors such as a supply of resources, capital, and managerial professionalism.
Penerapan Metode Certainty Factor dalam Mendeteksi Gangguan ADHD (Attention Deficit Hyperactivity Disorder) Pada Anak Safrizal, Safrizal; Tanti, Lili; Adhar, Deni Adhar; Riza, Bob Subhan; Iriani, Juli
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.193

Abstract

Gangguan ADHD ditandai dengan ketidakmampuan anak memusatkan perhatiannya pada sesuatu yang sedang dihadapinya, sehingga waktu perhatiannya menjadi sangat singkat. Anak dengan gangguan ADHD mengalami kesulitan dalam berkonsentrasi, kesulitan untuk bisa duduk diam dan juga perhatiannya yang sering teralihkan oleh sesuatu yang lain. Kondisi gangguan ini juga disebut sebagai gangguan hiperkinetik yaitu gangguan pada anak yang muncul pada usia dini dengan ciri tidak mampu untuk memusatkan perhatian, hiperaktif dan impulsif bahkan cenderung tidak bisa diam. Salah satu cara untuk mengatasi masalahmasalah dalam diagnosa gangguan penyakit ADHD adalah dengan menerapkan Sistem Pakar yaitu salah satu ilmu pengetahuan bidang komputer yang mampu menyimpan pengetahuan dan kaidah yang bersumber dari pakar. Salah satu metode yang digunakan dalam Sistem Pakar adalah Certainty Factor. Metode Certainty Factor merupakan metode untuk menentukan atau membuktikan apakah sebuah fakta itu pasti atau tidak pasti dalam bentuk matrik. Metode ini sangat cocok untuk menentukan sesuatu yang belum pasti
Classification of Big Data Stunting in North Sumatra Using Support Vector Regression Method Simanullang, Maradona Jonas; Rosnelly, Rika; Riza, Bob Subhan
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.32177

Abstract

Stunting in children is a serious issue in society, especially in areas with high levels of malnutrition like North Sumatra. Therefore, it is important to develop an effective approach to identify the factors contributing to stunting and predict its risks in children, considering the high prevalence of stunting in this region. The high rate of stunting in North Sumatra indicates the urgency of this problem, making research on Big Data classification using Support Vector Regression (SVR) methods highly important. This study aims to offer profound understanding into factors influencing stunting in the region, thus enabling the development of more effective and targeted intervention strategies. The objective of this research is to categorize Big Data related to stunting in North Sumatra using SVR methods, taking into account factors such as wasting and malnutrition. The main focus of this research is to identify patterns related to stunting, predict the risk of stunting in children, and design more effective intervention strategies while addressing the issues of wasting and malnutrition. The research process encompasses several steps including data collection, pre-processing to handle missing values and outliers, normalization, and the application of Support Vector Regression (SVR). The final outcomes were achieved using a Voting Classifier that integrates Support Vector Classifier (SVC), Random Forest (RF), and Gradient Boosting (GB), resulting in an accuracy rate of 91.78%. This method effectively pinpoints the main factors contributing to stunting, which supports clinical decision-making and intervention strategies. The study highlights the potential of big data and machine learning in the healthcare sector, offering a model for enhancing health services and tracking children’s health conditions.
Peningkatan Efisiensi Operasional WAZ-8 Laundry Melalui Pelatihan Pengelolaan Data dan Keuangan Menggunakan Microsoft Excel Thanri, Yan Yang; Riza, Bob Subhan; Iriani, Juli; Subhan, Zhafira Nur; Zaidi, Luthfi
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.402

Abstract

Improving operational efficiency in laundry businesses greatly depends on effective data and financial management. WAZ-8 Laundry, a growing laundry business, faces challenges in managing transaction data and finances, which are still performed manually and ineffectively. Therefore, a training program on data and financial management using Microsoft Excel was organized to enhance operational efficiency and service quality provided to customers. This training aimed to equip WAZ-8 Laundry staff with the skills to manage transaction data, financial records, and operational reports effectively using Microsoft Excel. The training covered basic Excel techniques, table creation, data processing, the use of financial formulas, as well as financial report generation and data analysis for more accurate decision-making. By leveraging Excel features such as pivot tables, charts, and formulas, participants were expected to speed up the process of financial record-keeping and analysis, thereby identifying business trends and making better plans. The training employed a hands-on approach, with participants simulating data management and financial report generation in Excel. In addition, participants were also educated on the importance of accurate and structured data management to support better decision-making in laundry operations. Evaluation results indicated that most participants showed improved understanding of Excel usage, especially in financial report creation and transaction data analysis. Evaluation was conducted through pre-tests and post-tests, along with observation during the training. Post-test results showed an average score improvement of approximately 80%, reflecting better understanding of data and financial management. Participants also demonstrated improved abilities in operating Excel features such as pivot tables and financial formulas, which were previously less understood. Therefore, this training provides a significant impact on improving the operational performance of WAZ-8 Laundry, particularly in more efficient and effective data and financial management, ultimately supporting the business's growth.
Application of Digital Image Processing for Orchid Image Segmentation in Morphological Plant Analysis Riza, Bob Subhan; Rosnelly, Rika; Haryanto S., Edy Victor
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3772

Abstract

The deployment of digital image processing in orchid image segmentation for plant morphological analysis is investigated in this study. The goal of this study is to increase the accuracy of orchid species identification using color-based segmentation approaches using 90 photos of three different orchid species—Cattleya, Dendrobium, and Onchidium—that were retrieved from Kaggle. Pre-processing is the first step in the process, which involves shrinking the size of the photos, separating them into RGB components, and converting them to HSV color space for additional analysis. Segmentation is done using the K-Means technique, which clusters pixels according to the color features that have been retrieved. Centroid updates are made until convergence is reached. With an identification accuracy of 92%, the binary and RGB segmentation results show how well this method works to distinguish the flower item from the backdrop. By advancing image processing methods in botany, this study aids in the identification of rare orchid species and conservation initiatives.
Co-Authors Adhar, Deni Adhar Choi, Lee Kyung Dinda Octavyra, Regina Edy Victor Haryanto, Edy Victor Haryanto S., Edy Victor Juli Iriani, Juli Kano, Katoyusyi Lili Tanti, Lili Mashor, Mohd Yusoff Rika Rosnelly, Rika Safrizal Safrizal Simanullang, Maradona Jonas Subhan, Zhafira Nur Thanri, Yan Yang Zaidi, Luthfi