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All Journal Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Kontinu: Jurnal Penelitian Didaktik Matematika Prosiding Seminar Biologi Sistemasi: Jurnal Sistem Informasi INTEGER: Journal of Information Technology Electro Luceat JURIKOM (Jurnal Riset Komputer) ADLIYA: Jurnal Hukum dan Kemanusiaan Building of Informatics, Technology and Science Community Engagement and Emergence Journal (CEEJ) Journal of halal product and research (JHPR) Journal of Psychological Perspective Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Cafetaria Science in Information Technology Letters Jurnal Pengabdian Kepada Masyarakat Jurnal Sosial dan Teknologi Djtechno: Jurnal Teknologi Informasi ARRUS Journal of Engineering and Technology Jurnal Sains Teknologi dan Sistem Informasi SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education MAKILA: Jurnal Penelitian Kehutanan Jurnal Kolaboratif Sains Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Sains dan Teknologi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Journal of Innovation Research and Knowledge Journal of Community Empowerment and Innovation Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Journal on Biology and Instruction (JouBIns) Journal of Biotechnology and Natural Science Asean International Journal of Business Journal of Advanced Health Informatics Research Proceeding Seminar Nasional IPA International Journal of Management Analytics (IJMA) Journal of Global Engineering Research & Science (J-GERS) Journal of Technology Informatics and Engineering Prosiding SeNTIK STI&K
Rosyid Ridlo Al-Hakim
Universitas Harapan Bangsa
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Recent Updates on Intelligent System for Talent Management: Does That Become a Helpful System? Aditia Putra Hamid; Rosyid Ridlo Al-Hakim; Yanuar Zulardiansyah Arief; ‪Brainvendra Widi Dionova; Mahmmoud Hussein A. Alrahman
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 3 No. 1 (2023): April 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v3i1.1590

Abstract

The use of information technology in human management today has increased, along with the implementation of intelligent systems that generally use artificial intelligence (AI) in their application. One of the areas of human management that has adopted AI is talent management (TM). TM is crucial for companies to identify, manage, determine, assess, and recommend talent (in this case, it can be employees) for their company's sustainability. The application of family planning in TM is not as extensive as thought, but this study tries to review the latest research that adapts AI to a very complex TM process. The results of this review are at least 11 articles involved in the use of family planning. These 11 articles certainly discuss one or more processes in TM, such as talent identification, talent matching or mapping, and talent recommendations. Some critical studies in the future are that in practice, AI needs to be widely used, especially to handle large-scale data management (data intelligence), in addition to intelligent system methods, and AI can be used for all processes in TM, proven to be accurate, efficient, safe, and fast in practice.
DESAIN PLTS ATAP SPKLU DI PLN UNIT INDUK DISTRIBUSI JAKARTA RAYA Sriyadi Sriyadi; Yanuar Zulardiansyah Arief; Sinka Wilyanti; Rosyid Ridlo Al Hakim
Electro Luceat Vol 9 No 1 (2023): Electro Luceat (JEC) - Juli 2023
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/jelekn.v9i1.597

Abstract

Energi terbarukan adalah sumber energi yang berasal alam yang mampu digunakan dengan bebas, mampu diperbarui terus-menerus serta tak terbatas jumlahnya. Indonesia memiliki potensi energi surya yang melimpah. Meskipun potensi melimpah namun pemanfaatan energi surya untuk Pembangkit Listrik Tenaga Surya (PLTS) sampai 2020 baru 153,8 MW atau 0,07% dari potensi yang ada. Selain itu pemerintah terus mendorong transformasi energi di Indonesia dari energi fosil ke Energi Baru Terbarukan (EBT), salah satunya melalui pembangunan Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) yang bersumber dari Energi terbarukan. Penelitian ini bertujuan untuk membuat desain PLTS atap 300 kWp untuk SPKLU di PLN Unit Induk Distribusi Jakarta Raya. Kajian desain meliputi kelayakan aspek teknis, lingkungan, dan ekonomi dengan menggunakan Software Hybrid Optimization of Multiple Energy Resources (HOMER) PRO Versi 3.2. Hasil penelitian menunjukkan konfigurasi sistem terbaik secara on grid dengan kelayakan ekonomi NPC(Rp) = 1,06B, COE = 69,96 Rp/kWh, dan PBP = 16 tahun. Tersedianya potensi energi matahari yang cukup besar dengan rata-rata 4,76 kWh/m2/hari dan pemanfaatan EBT yang besar dengan renewable fraction 68,6%. Total produksi energi (kWh/tahun) dari PLTS atap 632,038 atau 72,3% dari sistem. Dampak penurunan emisi gas rumah kaca berupa karbon dioksida 313,96 Kg/tahun, sulfur dioksida 4,583 Kg/tahun, dan nitrogen oksida 361,7 Kg/tahun.
A Fuzzy Expert System for Talent Pool Management in Indonesia Aditia Hamid; Yanuar Arief; Brainvendra Dionova; Rosyid Ridlo Al-Hakim
International Journal of Managemen Analytics (IJMA) Vol. 1 No. 2 (2023): July 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijma.v1i2.73

Abstract

Addressing the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) situation, one of the company's strategies is to design a talent management strategy program to identify talent needs based on the company's vision, mission, strategy, and values. Talent is the knowledge and abilities possessed by a person relevant to the company's needs, supporting the company's goals and strategies. The company has a system that designs and manages the talents of its employees to acquire and retain their employees, namely talent management (TM). Talent management is an organizational scheme that systematically guides, directs, and guides in obtaining, developing, and retaining employees with talent or talents to achieve organizational goals. Therefore, this study aims to assist companies in making it easier to identify employees based on a 3x3 talent mapping matrix based on AI (Artificial Intelligence) in the E-Fillment Division, making it easier for companies to determine the right development program for these employees
An Expert System Dataset for Checking the Potential for Administering a Covid-19 Vaccine in Indonesia: Forward-Chaining Inference Machine Approach Rosyid Ridlo Al Hakim; Glagah E. Setyowisnu; Agung Pangestu
Journal of Global Engineering Research and Science Vol. 1 No. 1 (2022): Journal of Global Engineering Research & Science (J-GERS)
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/jgers.v1i1.3

Abstract

Covid-19 has now spread extremely worldwide. World still fighting against Covid-19, as well as vaccination programs. The problem to get one of the existing vaccines, it is required first to carry out a vaccination eligibility screening test, then usually carried out with traditional form method by the healthcare staff. Seeing the development of an expert system that can be used as an alternative for health workers to help reduce the number of Covid-19 suppression so that it does not spread to health workers, because after all, someone who will vaccinate Covid-19 must be in good health, this is related to the pre-vaccination procedure. We proposed the expert system with forward-chaining method. The result is the dataset (rules collection) of an expert system based on a forward-chaining inference machine for administering all Covid-19 vaccines.
IoT-based pesticide distribution control system with photometric sensor framework Rosyid Ridlo Al Hakim; Ichsani Islam; Ropiudin Ropiudin; Agung Pangestu; Ariep Jaenul; Yanuar Arief; Hexa Hidayah
Journal of Global Engineering Research and Science Vol. 1 No. 2 (2022): Journal of Global Engineering Research & Science (J-GERS)
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/jgers.v1i2.45

Abstract

The use of pesticides is often given under extreme conditions. The excess use of these pesticides can harm both the farmers directly and the affected environment; this is the impact of the uncontrolled use of pesticides. There is a need for a control system to control the distribution of pesticides on agricultural land. This article seeks to provide a control system design for controlling the distribution of pesticides by utilizing photometric technology integrated with the internet of things (IoT). The control system is designed automatically with a sensing system or an operating record. It is expected to be able to disseminate the correct use of pesticides to achieve production efficiency. This study provides a design of an automatic control system for pesticide distribution IoT-based. We use a photometric sensor to control the pesticide distribution. Future work can be implemented for prototype work due to smart farming to control pesticide distribution automatically.
Determination of better insulating oil for power transformer oil application using Analytical Hierarchy Process (AHP) Yanuar Zulardiansyah Arief; Nazirah Abd Hamid; Mohd Hafiez Izzwan Saad; Rosyid Ridlo Al Hakim
Journal of Global Engineering Research and Science Vol. 1 No. 1 (2022): Journal of Global Engineering Research & Science (J-GERS)
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/jgers.v1i1.52

Abstract

The Analytical Hierarchy Process (AHP) which was developed by Saaty is a decision-making tool in the year of 1970s. The system is able to solve the complex analysis which could not be performed by the human brain. In this project, the AHP system is chosen to select a better insulating oil for power transformer oil application since the insulation is the most important part of a transformer. In this research method based on the AHP technique, there are six criteria are involved in the model, namely breakdown voltage, dissipation factor/tan delta, pour point, kinematic viscosity, density, and flash point. While, the given alternatives are palm oil, canola oil, palm fatty acid ester (PFAE) oil, corn oil, sunflower oil, and soybean oil, respectively. A spreadsheet software application (Microsoft Excel) was employed in this study. As the result, it is found that the PFAE oil is the best insulating oil that able to be used in a real power transformer oil application. All requirements as insulating oil for transformer oil of PFAE oil are met significantly.
Analysis of Ag2+ and Cu2+ electroplating on the aluminum layer thickness level: A reanalysis Aming Sungkowo; Yanuar Zulardiansyah Arief; Rosyid Ridlo Al-Hakim
Journal of Technology Informatics and Engineering Vol 1 No 2 (2022): Agustus: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i2.139

Abstract

We reanalyze the effect of silver (Ag2+) and copper (Cu2+) coating solutions for the thickness of the layer on aluminum (Al) materials with increased electrical currents 0.4A, 0.8A, 1A, 1.2A, and 1.4A and increased thickness layer (10µm, 20µm, 30µm, 40µm, and 50µm), as well as the previous study was conducted. We used the electroplating method and thickness test, as well as the Brinell hardness test for both coating solutions. The results show statistically significant (p-value < 0.05, one-tailed) between high electric current and aluminum (Al) coating process with silver (Ag2+) and copper (Cu2+), as well as silver (Ag2+), get the faster coating process time. The Brinell hardness test shows a statistically significant difference (p-value < 0.05, one-tailed) between the high thickness layer and HB value (Ag-coated and Cu-coated).
High electric current and hours can increase layer thickness and decrease white rust corrosion using Zn2+ electroplating Slamet Riyadi; Yanuar Zulardiansyah Arief; Antonius Darma Setiawan; Agung Pangestu; Rosyid Ridlo Al-Hakim
Journal of Technology Informatics and Engineering Vol 1 No 2 (2022): Agustus: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i2.140

Abstract

Electroplating was the process of coating metal surfaces using the electrochemical method. We used alkaline zinc (Zn2+) plating that was anti-corrosion coating, cheapest, evenly adhesion, as well as better-looking crushing. This study aims to test and measure the thickness of the layer on spark plugs with variations in different electrical currents 300, 400, and 500A and increased hours during the coating process, investigate the corrosion resistance of white rust on the surface and analyze the changes in alkaline zinc concentration and temperature that affect the thickness of the layer, respectively. The results, such as 1st sample 13 pcs, 300A, and thickness of 7.26-micron with white rust 9 pcs. 2nd sample 13 pcs, 400A, and thickness of 9.15-micron white rust 5 pcs. 3rd sample 13 pcs, 500A, and thickness of 12.75-micron white rust 3 pcs. The high electric current (500A) and 45 hours of the experiment would influence the lowest white rust corrosion level. The high alkaline zinc solution with an optimum 36°C solution temperature and 500A electric current would undoubtedly deposit the white rust until 3 pcs.
Predict the thyroid abnormality particular disease likelihood of the symptoms’ certainty factor value and its confidence level: A regression model analysis Rosyid Ridlo Al-Hakim; Yanuar Zulardiansyah Arief; Agung Pangestu; Hexa Apriliana Hidayah; Aditia Putra Hamid; Aviasenna Andriand; Nur Fauzi Soelaiman; Machnun Arif; Mahmmoud Hussein Abdel Alrahman
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i2.2542

Abstract

The traditional expert system (TES) in the medical field commonly uses a certainty factor (CF) rule-based algorithm that can be calculated several symptoms to determine the inference solutions. The main issue for this TES included a prediction for some particular disease likelihood in the cases of new patients. CF is calculated based on symptoms related to clinical signs in patients’ diagnoses. For some reason, this TES probably won’t predict uncertain things, such as particular disease likelihood of some diseases. So, supervised learning, such as linear regression, can solve this problem. We tried to analyse the existing TES for thyroid disorders due to modelling the regression equation to predict the thyroid abnormality particular disease likelihood, based on the symptoms’ CF value and its confidence level. We used multiple linear regression (MLR) and multiple polynomial regression (MPR) to analyse the best regression model to solve the problem. The results show that the MPR model indicates the best regression model for predicting particular disease likelihood of thyroid abnormality, supported by R-squared 94.7%, R-squared adjusted 94.4%, F-value 265.925, and p-value < 0.05, which are higher than MLR model. Our study proposed a foundation for expert system development by focusing more on machine learning expert system (MLES) analysis approaches than TES.
Prototipe Alat Pendeteksi Korona Sebagai Proteksi Kubikel Keluaran 20 KV Pelanggan Tegangan Menengah Sriyadi Sriyadi; Agung Pangestu; Sinka Wilyanti; Rosyid Ridlo Al Hakim; Devan Junesco Vresdian
Jurnal Sosial Teknologi Vol. 1 No. 5 (2021): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v1i5.96

Abstract

Keandalan jaringan tenaga listrik merupakan tuntutan masyarakat modern saat ini. Berbagai program peningkatan keandalan terus dilakukan antara lain dengan inspeksi dan pemeliharaan gardu distribusi. Inspeksi dilaksanakan secara periodik untuk mengetahui kondisi peralatan berfungsi dengan baik. Namun demikian masih terdapat gangguan yang disebabkan oleh korona pada kubikel 20 kV. Dampaknya yaitu terhentinya pasokan listrik ke pelanggan dan berpotensi menimbulkan kerusakan kubikel itu sendiri. Penelitian ini terkait dengan perancangan prototipe alat pendeteksi korona sebagai proteksi kubikel keluaran 20 kV. Tujuan penelitian adalah menghasilkan sebuah prototipe alat pendeteksi korona sebagai proteksi kubikel keluaran 20 kV pelanggan tegangan menengah serta mengetahui pengaruh suhu dan kelembapan terhadap jumlah O3 yang dihasilkan, agar dapat diimplementasikan sebagai proteksi kubikel keluaran 20 kV pelanggan tegangan menengah. Metode yang dilakukan meliputi analisa kebutuhan, perencanaan desain, perakitan dan pengujian sistem. Prototipe alat berfungsi untuk mengukur konsentrasi ozon (O3), suhu dan kelembapan pada kubikel. Parameter uji meliputi pengaruh kelembapan dan besar tegangan terhadap pembentukan konsentrasi O3. Uji pengaruh kelembapan menghasilkan tingkat kelembapan 99% RH jumlah O3 sebesar 241,0 ppb, kelembapan 95% RH jumlah O3 sebesar 106,2 ppb dan 90% RH jumlah O3 sebesar 78,55 ppb. Uji pengaruh tegangan menghasilkan nilai tegangan 14 V jumlah O3 sebesar 225,36 ppb dan tegangan 12 V jumlah O3 sebesar 106,63 ppb. Prototipe alat pendeteksi korona dapat diimplementasikan sebagai proteksi kubikel keluaran 20 kV pelanggan tegangan menengah.
Co-Authors Achmad Muchsin Aditia Hamid Agung Nurul Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Ahda Sabila Yusuf Ahmad, Sharifah Sakinah Syed Aji, Rofingi Nurul Alfry Aristo Jansen Sinlae Aming Sungkowo Aming Sungkowo Aming Sungkowo Aming Sungkowo Amir Syarifuddin Areip Jaenul Arief, Yanuar Zulardiansyah Ariefah Khairina Ariep Jaenul Aviasenna Andriand Brainvendra Widi Dionova Deny Nugroho Triwibowo Devan Junesco Vresdian Dian Nugraha Dian Sulistyaningrum Djatmiko, Wisnu Efri Sandi Eka Puspita Dewi Eko Ariyanto Eko Ariyanto Elsa Norma Sari Elsa Wulandari Erie Kolya Nasution Erie Kolya Nasution Erie Kolya Nasution Esa Rinjani Cantika Putri Fariati, Wieke Tsanya Faridah Satya Lestari Farmasita Budiastuti, Rizky Glagah E. Setyowisnu Glagah Eskacakra Setyowisnu Hadi Jayusman Halimatu Ulfah Hamid, Aditia Putra Hendra Purnawan Herdiansah, Arief Hexa Apriliana Hidayah Hexa Apriliana Hidayah Hexa Hidayah Ichsani Islam Ichsani Nurul Islam Imtiyaaz, Cassytta Dhiya Islam, Ichsani Nurul Islami Annisa Isna Aulia Syahdiar Joko Triwanto Kusuma, Tegar Lilis Dwi Saputri Lisnawati, Tuti Machnun Arif Mahmmoud Hussein A. Alrahman Mahmmoud Hussein Abdel Alrahman Miftakhul Hafidz Sidiq Moh Khoridatul Huda, Moh Khoridatul Mohd Hafiez Izzwan Saad Mohd, Othman Muhammad Akbar Setiawan, Muhammad Akbar Muhammad Haikal Satria Muhammad Haikal Satria Nasution, Erie Nazirah Abd Hamid Nur Fauzi Soelaiman Nur Fauzi Soelaiman nurnaningsih, Desi Pangestu, Agung Nurul Purnawan, Hendra Purwono, Purwono Putri, Esa Putri, Esa Rinjani Cantika R Siti Rukayah Revita Desi Hertin Rian Ardianto Rini Nuraini, Rini Riyadi, Slamet Nurul Rizaldi Rizaldi Rizaldi Rizaldi Rizaldi Rizaldi Rofingi Aji Rofingi Nurul Aji Rohana, Assa Kesthy Rohmat Indra Borman Rony, Zahara Tussoleha Ropiudin . Rusdi, Erfan Safira Faizah Satria, Muhammad Haikal Setiawan, Antonius Darma Sinka Wilyanti Siti Rukayah Siti Rukayah Slamet Nurul Riyadi Slamet Riyadi Slamet Riyadi Slamet Riyadi Sri Riani, Sri Sriyadi Sriyadi Sriyadi Sriyadi Sungkowo, Aming Tegar Aldi Saputro Trikolas Trikolas Trikolas Trikolas Trikolas, Trikolas Ulfah, Halimatu Yanuar Arief Yanuar Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief