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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Mechanical Engineering Science and Technology Knowledge Engineering and Data Science Jurnal Nasional Komputasi dan Teknologi Informasi Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Indexia IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Kohesi: Jurnal Sains dan Teknologi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Mar'i, Farhanna
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Artificial Neural Network-Based Modeling of Performance Spark Ignition Engine Fuelled with Bioethanol and Gasoline Marianingsih, Susi; Mar’i, Farhanna; Nanlohy, Hendry Y.
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 7, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v7i22023p190

Abstract

Machine learning technology can distinguish the relationship between engine characteristics and performances. Therefore, the goal of the present work is to predict the performance parameters of a single-cylinder 4-stroke gasoline engine at different ignition timings using a blended mixture of gasoline and bioethanol by an artificial neural network (ANN). Experimental data for training and testing in the proposed ANN was obtained at a dynamic speed and full load condition. An ANN model was developed based on standard Back-Propagation algorithm for the spark ignition engine. Multi-layer perception network (MLP) was used for non-linear mapping between the input and output parameters. An optimizer in the family of quasi-Newton methods (lbfgs) and the rectified linear unit function were used to assess the percentage error between the desired and the predicted values. The network input parameters are engine speed, fuel, and ignition timing. Furthermore, torque, power, specific fuel consumption (SFC), thermal efficiency (ηth), and energy consumption (EC) are taken as output parameters. The results show that ANN is the proper method for predicting SIE performance because it has accurate prediction results that are very similar to experimental results. Moreover, from the observation results, the ANN model can predict the engine performance quite well with correlation coefficient (R)=0.962139 and MSE=0.003967 for data testing.
Pengembangan Sistem Presensi Guru UPT SMPN 34 Gresik Berbasis Web Muhammad Ibnu Rosikhin; Farhanna Mar’i
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 1 (2024): Januari : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i1.59

Abstract

UPT SMPN 34 Gresik is one of the educational institutions that faces challenges in managing teacher attendance and salaries efficiently. Because UPT SMPN 34 Gresik currently still uses manual recording of teacher attendance, so it takes quite a long time. To overcome this problem, the researcher proposes creating a web-based Teacher Attendance System using the Waterfall design methodology with a MySQL database. The aim of establishing this web-based teacher attendance system is to assist teachers in carrying out attendance attendance efficiently and assist educators and teaching staff in managing teacher salaries based on attendance better. The need for an inclusive teacher attendance system, and the need for optimal salary calculations at UPT SMPN 34 Gresik are resolved through this research. From the conclusions obtained from the process of observation, interviews and literature study, this web-based teacher attendance system is expected to increase the efficiency of human resource management in the education sector. Researchers hope to provide comprehensive and sustainable answers to the needs of UPT SMPN 34 Gresik.
Perancangan Sistem Informasi Perpustakaan Berbasis Web Pada UPT SMP Negeri 34 Gresik Muhammad Al Amin; Farhanna Mar’i
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 1 (2024): Januari : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i1.40

Abstract

Technical advances in computer applications have led to the creation of these library information systems, which are anticipated to support and facilitate the human workforce. It is anticipated that this technology will help with daily tasks in an effective and efficient manner as well. The subject of this study is the library system. There are obstacles in UPT Library SMP 34 GRESIK, and one of them is that the library still uses its service manual procedures, indicating the need innovation and change in the form of a cohesive system to accompany and prepare children in the classroom The library service information system provided by this network-based library information system should make it easier for students to find information and check out books, as well as for librarians to manage information about books and student loans. The waterfall approach was used by the author. To create this internet-based library resource system. The process of implementing this library information system begins with soft requirement analysis, prioritizing the process of borrowing books. Waterfall design techniques are used throughout the design stage, which involves creating a database with MySQL and building a user interface. Relationships are built in the database architecture using Entity Relationship Diagrams and Logic Relationship database (Database) structures.
A conceptual approach of optimization in federated learning Mar’i, Farhanna; Supianto, Ahmad Afif
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp288-299

Abstract

Federated learning (FL) is an emerging approach to distributed learning from decentralized data, designed with privacy concerns in mind. FL has been successfully applied in several fields, such as the internet of things (IoT), human activity recognition (HAR), and natural language processing (NLP), showing remarkable results. However, the development of FL in real-world applications still faces several challenges. Recent optimizations of FL have been made to address these issues and enhance the FL settings. In this paper, we categorize the optimization of FL into five main challenges: Communication Efficiency, Heterogeneity, Privacy and Security, Scalability, and Convergence Rate. We provide an overview of various optimization frameworks for FL proposed in previous research, illustrated with concrete examples and applications based on these five optimization goals. Additionally, we propose two optional integrated conceptual frameworks (CFs) for optimizing FL by combining several optimization methods to achieve the best implementation of FL that addresses the five challenges.
Clustering Credit Card Holder Berdasarkan Pembayaran Tagihan Menggunakan Improved K-Means dengan Particle Swarm Optimization Mar'i, Farhanna; Supianto, Ahmad Afif
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3093.112 KB) | DOI: 10.25126/jtiik.201856858

Abstract

AbstrakKartu kredit merupakan salah satu bentuk media bagi nasabah untuk melakukan kredit dalam sebuah proses transaksi yang telah disetujui oleh bank bersangkutan. Bank harus selektif dalam menganalisa nasabah yang ingin mengajukan penerbitan kartu kredit untuk menghindari adanya kredit macet yang dapat menimbulkan kerugian pada bank, sehingga sangat penting untuk mengetahui karakteristik nasabah dengan melakukan  clustering. Bank akan dapat mengambil keputusan untuk pertimbangan penerbitan kartu kredit dengan mencocokkan nasabah baru kedalam cluster-cluster yang telah dibentuk dan mengetahui kelayakan nasabah untuk diberikan akses kartu kredit dalam melakukan transaksi. K-Means adalah salah satu metode populer yang digunakan untuk clustering. Tetapi, metode K-Means tidak dapat memberikan solusi optimum karena keterbatasannya dalam penentuan titik centroid yang optimal, sehingga untuk memperbaiki metode K-Means dalam penelitian ini digunakan salah satu algoritma evolusi yaitu Particle Swarm Optimization (PSO) untuk generate titik centroid optimum yang digunakan dalam proses perhitungan K-Means. Hasil pengujian dilakukan dengan membandingkan nilai Silhouette Coefficient dari cluster yang dibentuk menggunakan K-Means murni dan Improved K-Means dengan PSO yang menghasilkan nilai masing–masing yaitu 0,3312 dan 0,3730. AbstractCredit card is one form of media for customers to credit in a transaction process that has been approved by the bank concerned. Banks should be selective in analyzing customers who want to apply for credit card issuance to avoid bad debts that can cause losses to banks, so it is very important to know the characteristics of customers by clustering. The Bank will be able to take decisions for credit card issuance by matching new customers into the established clusters and knowing the eligibility of customers to be granted credit card access in making transactions. K-Means is a popular method that is applied in the clustering process. However, the K-Means method can not provide the optimum solution because of its limitation in determining the optimal centroid point, so to improve the K-Means method in this research is used one of the evolution algorithm namely Particle Swarm Optimization (PSO) to generate optimum centroid point used in k-means calculation process. The test results were performed by comparing the coefficient silhouette values of the clusters formed using pure K-Means and Improved K-Means with PSO which yielded respective values of  0,31614 and 0,39484, respectively. 
Sistem Rekomendasi Profesi Berdasarkan Dimensi Big Five Personality Menggunakan Fuzzy Inference System Tsukamoto Mar'i, Farhanna; Mahmudy, Wayan Firdaus; Yusainy, Cleoputri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 5: Oktober 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4012.459 KB) | DOI: 10.25126/jtiik.201965942

Abstract

Sistem rekomendasi dapat dimanfaatkan sebagai alat bantu untuk pengambilan keputusan. Pada sebuah perusahaan, sistem rekomendasi profesi bisa digunakan untuk menempatkan seorang karyawan pada posisi yang tepat. Pada penelitian ini diusulkan sistem rekomendasi profesi berdasarkan Big Five Personality traits yang meliputi Extraversion, Aggreableness, Conscentiousness, Neuroticm, dan Opennes. Input yang digunakan ialah parameter dimensi Big Five Personality yang dirumuskan oleh John. Metode yang digunakan adalah Fuzzy Inference System (FIS) Tsukamoto. Keakuratan sistem dihitung dengan membandingkan output sistem dengan dengan acuan Top Ranked Personality - Based Work Styles for 22 Job Families yang menghasilkan nilai akurasi sebesar 63%.AbstractRecommendation systems can be used as a tool for decision making. In a company, a professional recommendation system can be used to place an employee in the right position. In this study proposed system of professional recommendation based on Big Five Personality traits which includes Extraversion, Aggreableness, Conscentiousness, Neuroticm, and Opennes. The input used is the Big Five Personality dimension parameter formulated by John. The method used is Fuzzy Inference System (FIS) Tsukamoto. The accuracy of the system is calculated by comparing the output of the system with the reference Top Personality - Based Work Styles for 22 Job Families that produce an accuracy score of 63%.
Perancangan Sistem Informasi Pengarsipan Surat Berbasis Web Di UPT SMPN 34 Gresik Ananda Hafiz Syawala; Farhanna Mar`i
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.2795

Abstract

One of the educational institutions that is involved in managing correspondence is UPT SMPN 34 Gresik. Because UPT SMPN 34 Gresik still applies manual accounting methods, it requires a lot of paper for recording and as a result there is a buildup of archival data. Researchers propose the use of a MySQL database and a design process to create a web-based letter filing system to overcome these problems. Fall out. After this research is completed, a web-based letter filing system will be developed at UPT SMPN 34 Gresik with the aim of increasing efficiency, speeding up the archiving process, and ensuring accurate and safe document storage. The web-based technology letter filing system is expected to simplify administrative tasks and improve school policy and human resource management, based on insights from observation, interview and literature study methodologies. The aim of this research is to be able to provide UPT SMPN 34 Gresik with comprehensive and long-term answers to its demands.
Co-Authors Ade Nur Kurnia Rizqi Ananda Agung Gumilang Ahmad Afif Supianto Ahmad Afif Supianto Ahmad Afif Supianto Ananda Hafiz Syawala Bariza Nurus Shobah Choridatul Bahiyyah Cleoputri Yusainy Desiyarotur Risykiyana Fitra Abdurrachman Bachtiar Hafidz Ubaidillah Hafidz Ubaidillah Harunur Rosyid Hendry Y. Nanlohy Henny Dwi Bhakti Irvi Oktanisa Marianingsih, susi Muhammad Al Amin Muhammad Ibnu Rosikhin Nadya Husenti Purnomo Budi Santoso Rakhmadhan Rizki Brilian Ullump Pratiwi Umi Chotijah Wayan Firdaus Mahmudy