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All Journal Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL ILMIAH INFORMATIKA METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Applied Information System and Management INTECOMS: Journal of Information Technology and Computer Science Edumaspul: Jurnal Pendidikan Jurnal Riset Informatika Progresif: Jurnal Ilmiah Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Infotech: Journal of Technology Information Journal of Business and Audit Information System (JBASE) IWJ : Inland Waterways Journal Kohesi: Jurnal Sains dan Teknologi Journal International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Indonesia Journal of Engineering and Education Technology (IJEET) EBID:Ekonomi Bisnis Digital
Asrul Sani
Universitas Nasional, Jakarta Indonesia
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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PERANCANGAN SISTEM PAKAR DALAM MENDIAGNOSA KERUSAKAN CCTV BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING (STUDI KASUS: PT.MNC PICTURES) Dinata, Andica; Sani, Asrul
EBID: Ekonomi Bisnis Digital Vol 1, No 2 (2023): Desember
Publisher : ISTEK Widuri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/ebid.v1i2.226

Abstract

The use of Closed Circuit Television (CCTV) has almost become a common necessity in the current era, especially for security, where it is to record an incident 24 hours a day which can be immediately broadcast or stored as evidence if one day it is needed. Closed Circuit Television or better known as CCTV is equipment that functions to record events in real time in a room. The research objective is to build a web-based expert system that is able to diagnose damage to CCTV and implement the forward chaining method. Data collection methods are observation, interviews and literature study. Meanwhile, the research method used is forward chaining. The result is that an expert system can be built on a web basis and is able to diagnose damage to CCTV and also the forward chaining method can be implemented to overcome the uncertainty of the expert system diagnosis results.
PERANCANGAN JARINGAN FIBER TO THE HOME (FTTH) MENGGUNAKAN TEKNOLOGI GIGABIT PASSIVE OPTICAL NETWORK (GPON) Prayoga, Wira Maulana; Sani, Asrul
EBID: Ekonomi Bisnis Digital Vol 1, No 2 (2023): Desember
Publisher : ISTEK Widuri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/ebid.v1i2.220

Abstract

The development of technology that we use today is increasingly developing, especially in the world of telecommunications. Rapid changes in telecommunications networks are also driven by users' need to stay connected anytime and anywhere. Various new application features such as multimedia services, video conferencing, online games and internet services require larger bandwidth at high speeds. The aim of this research is to understand the basic concepts of Fiber To The Home network design, to obtain a Fiber To The Home access network design based on the location of device placement in the FTTH network design, to analyze the Link Power Budget parameters as a sign of the feasibility of the FTTH network design results, and to find out implementation of Gigabit Passive Optical Network (GPON). The data collection methods used are literature methods, observation methods, and analysis techniques. The results of the research, the basic concept of Fiber To The Home network design is easy for users to understand, the location of device placement in the FTTH network design can be obtained based on the Fiber To The Home access network design, the Link Power Budget parameter as a sign of the feasibility of the FTTH network design results can be used as an analysis reference, and Gigabit Passive Optical Network (GPON) can be applied to FTTH network design.
KLASIFIKASI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA STMIK WIDURI MENGGUNAKAN ALGORITMA NAÏVE BAYES David Imanuel, Alvian; Nawaningtyas Pusparini, Nur; Sani, Asrul
JURNAL ILMIAH INFORMATIKA Vol 12 No 01 (2024): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v12i01.8201

Abstract

Student delays in completing their studies are experienced by most higher education institutions, for example at STMIK Widuri. STMIK Widuri must be able to predict student graduation early to prevent graduation that is not on time and maintain a good name and the accreditation assessment that has been obtained. For this reason, this research was conducted to predict the graduation of STMIK Widuri students using the classification method with the Naïve Bayes algorithm. Naïve Bayes is a classification algorithm that uses probability and statistics to predict a class. The dataset used is lecture activities of STMIK Widuri students class of 2021 from 2021-2022 odd to even 2022-2023 academic year and processed using the Rapidminer application. The dataset is processed through the stages of Knowledge Discovery in Database, including selection, pre-processing, transformation, data mining and evaluation stages. From the evaluation results using the confusion matrix on the distribution of training data 50% and data testing 50%, this study resulted in an Accuracy 93,10%, Precision 95,24%, and Recall 90%. In this way, it is hoped that STMIK Widuri can utilize attributes of the data stored in the database to be processed more optimally, for example using existing techniques in data mining.
The Impact Machine Learning Algorithms : Study Meta-Analysis Sani, Asrul; Oktavio, Adrie; Metasari, Rean; Santosa, Tomi Apra; sjoraida, Diah Fatma; Rembe, Elismayanti; Amri, Miftachul; Guna, Bucky Wibawa Karya
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10860

Abstract

Machine Learning (ML) algorithms have revolutionized various fields, including science, technology, and business. This study conducted a meta-analysis to review the impact of ML algorithms on various domains. This research is a type of meta-analysis research. The data sources in this study come from 12 national and international journals published in 2022-2024. Data collection techniques through direct observation through journal databases. The inclusion criteria in this meta-analysis are research obtained from google scholar; ScienceDirect and ERIC, Research must be related to machine learning algorithms, research has complete data to calculate the effect size value. Data analysis in this study was conducted by statistical analysis with JSAP 0.16.3 application. The results of the study concluded that ML lgoritma has a significant impact on various fields including the discovery of new knowledge, process efficiency and accuracy in prediction with an effect size value of 0.793; p < 0.001. These findings show that ML algorithms have great potential to improve performance and efficiency in various fields.
PENGEMBANGAN SISTEM INFORMASI PRESENSI BERBASIS ANDROID DENGAN TEKNOLOGI PENGENALAN WAJAH DAN GEOLOKASI UNTUK OPTIMALISASI PENGELOLAAN KEHADIRAN KARYAWAN Widjaya, Rendi; Sani, Asrul; Rizal, Rizal
EBID: Ekonomi Bisnis Digital Vol 2, No 2 (2024): Desember
Publisher : ISTEK Widuri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/ebid.v2i2.332

Abstract

This study aims to develop an Android-based attendance information system by integrating facial recognition and geolocation technologies to enhance the accuracy and efficiency of employee attendance management. Facial recognition technology offers advantages in preventing fraud, such as proxy attendance, while geolocation ensures attendance can only be recorded at predefined locations. The research employs the Research and Development (R&D) method, including stages such as needs analysis, system design, application development, testing, and implementation. The results show that facial recognition achieves an average accuracy of 85.75%, with reduced performance under low-light conditions or when employees wear masks. The geolocation feature achieves an accuracy of 91.5% within a 30-meter radius, minimizing attendance from unauthorized locations. Attendance time per employee decreased from 50 seconds (manual) to 25 seconds (digital), improving efficiency by 50%. Employee attendance increased from 85% to 95%, with 100% elimination of proxy attendance cases. This system significantly improves attendance management, providing a more effective, transparent, and accurate process that positively impacts employee productivity and discipline.
DAMPAK KESIAPAN ORGANISASI TERHADAP KEBERHASILAN CLOUD COMPUTING DI UMKM DENGAN MODEL DELONE DAN MCLEAN Sani, Asrul; Andrianingsih, Andrianingsih; Aisyah, Siti; Taufik, Ahmad
Infotech: Journal of Technology Information Vol 10, No 2 (2024): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i2.325

Abstract

This study investigates the critical success factors for cloud computing adoption in small and medium enterprises (SMEs) in Jabodetabek by integrating the DeLone and McLean information systems success model with organizational readiness. Through a quantitative survey approach, the research examines how system quality, information quality, and service quality influence organizational readiness and, subsequently, user satisfaction and net benefits of cloud computing. Results indicate that service quality has the strongest impact on organizational readiness, underscoring the importance of technical support in facilitating technological change. Furthermore, organizational readiness significantly enhances user satisfaction and operational benefits, emphasizing that well-prepared internal structures and skilled human resources are essential for successful cloud adoption. The study provides valuable insights for SME managers to strengthen organizational readiness, particularly in cultural and technical aspects, to optimize cloud computing outcomes. It also offers practical recommendations for policymakers to design training programs that enhance SMEs' technological capabilities. This research contributes to the literature by integrating quality and readiness perspectives, filling a gap in understanding how these factors jointly influence cloud adoption in SMEs. Future research could explore the long-term impacts of cloud adoption and validate these findings across different sectors and regions. ABSTRAKPenelitian ini mengkaji faktor-faktor keberhasilan kritis dalam adopsi cloud computing pada usaha mikro, kecil, dan menengah (UMKM) di wilayah Jabodetabek dengan mengintegrasikan model kesuksesan sistem informasi DeLone dan McLean serta kesiapan organisasi. Melalui pendekatan survei kuantitatif, penelitian ini menganalisis bagaimana kualitas sistem, kualitas informasi, dan kualitas layanan memengaruhi kesiapan organisasi dan selanjutnya kepuasan pengguna serta manfaat bersih dari cloud computing. Hasil penelitian menunjukkan bahwa kualitas layanan memiliki dampak terkuat pada kesiapan organisasi, menyoroti pentingnya dukungan teknis dalam memfasilitasi perubahan teknologi. Selain itu, kesiapan organisasi secara signifikan meningkatkan kepuasan pengguna dan manfaat operasional, menegaskan bahwa struktur internal yang siap dan sumber daya manusia yang terampil sangat penting untuk keberhasilan adopsi cloud. Studi ini memberikan wawasan praktis bagi manajer UMKM untuk memperkuat kesiapan organisasi, terutama dalam aspek budaya dan teknis, guna mengoptimalkan hasil adopsi cloud computing. Rekomendasi juga diberikan kepada pembuat kebijakan untuk merancang program pelatihan yang meningkatkan kapabilitas teknologi UMKM. Penelitian ini berkontribusi pada literatur dengan menggabungkan perspektif kualitas dan kesiapan, mengisi kesenjangan dalam memahami pengaruh bersama faktor-faktor ini terhadap adopsi cloud pada UMKM. Penelitian selanjutnya dapat mengeksplorasi dampak jangka panjang adopsi cloud dan memvalidasi temuan ini di sektor dan wilayah berbeda.
APPLYING K-MEANS CLUSTERING FOR GROUPING PAPUA’S DISTRICTS BASED ON POVERTY INDICATORS ANALYSIS Yusriana Chusna Fadilah; Asrul Sani; Andrianingsih Andrianingsih
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5865

Abstract

In the context of Indonesia's resource-rich development, poverty remains a major challenge, especially in Papua Province which has the highest poverty rate. Although Papua is rich in resources such as minerals, tropical forests, and biodiversity, challenges such as economic inequality, lack of infrastructure, and social conflict hinder economic and social progress. This research aims to implement the K-Means Clustering algorithm to cluster districts/cities in Papua based on poverty indicators, including the percentage of poor people, poverty line, average years of schooling, human development index, poverty depth index, poverty severity index, unemployment rate, and per capita expenditure. The research methodology includes data collection from the Central Statistical Agency (BPS), data processing through cleaning and transformation stages, and application of K-Means Clustering to determine the optimal cluster using the elbow method and silhouette score. The results show that the districts/cities in Papua can be grouped into two main clusters: C0, which indicates high poverty rates and C1, which indicates low poverty rates. This research is expected to provide a strategic foundation for the government to design more focused and effective development policies in reducing poverty in Papua.
Co-Authors Abrianto, Bagas Dewantoro Achmad Taufiq Andyanto Addarda, Binan Ade Davy Wiranata Adrial Rusyid Adrie Oktavio Agus Budiyantara Agus Budiyantara Agus Pratama W Agusta Pratama Agusta Pratama Wibawa Ahmad Taufik Amri, Miftachul Andrai, Bagus Rubyanto Esha Andriangsih, Andriangsih Andrianingsih Andrianingsih Anton Hindardjo Arafat, Fadhilah Ardani, Rega Listya Ardiansyah, Alvi Dwi Bernadus Gunawan Sudarsono Budiyantara, Agus Cakranegara, Pandu Adi Daniel Pasaribu David Imanuel, Alvian Diah Fatma Sjoraida Dinata, Andica Doharma, Rouly Dwi Budi Santoso Dwi Yuniarto Ellina Rienovita Fajar, Sahid Febrian, Firdan Fernaldo, Aggasy Problema Firmansyah, Mochamad Frieyadie Guna, Bucky Wibawa Karya Heppy Sapulete Husain, T Irma Suryani Irwansyah Irwansyah Irwansyah Irwansyah Johan Ferdiyansyah Komda Saharja Kusmawan, Hendy Merliani Ivone Merliani Ivone S Metasari, Rean Nawangtyas, Nur Nawaningtyas Pusparini, Nur Nawaningtyas, Nur Nedi Hendri, Nedi Ninuk Wiliani Nur Nawaningtyas Nur Nawaningtyas Pusparini Nur Nawaningtyas Pusparini Nur Nawaningtyas Pusparini Prayoga, Wira Maulana Pusparini, Nur Nawaningtyas Ratih Dheviana Puru Hitaningtyas Rembe, Elismayanti Rizal Rizal Rizaldy Khair Samuel Samuel Santosa, Tomi Apra Siti Aisyah Siti Aisyah Sofyan, Mochamad Suhendra Suhendra Supit, Merliani Ivone T. Husain Tomi Apra Santosa Tomi Apra Santosa Widjaya, Rendi Wiliani, Ninuk Yohanis Yakubun Yusmar Ali Yusriana Chusna Fadilah