Article Per Year (5 Year)
p-Index From 2020 - 2025
6.669
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Masyarakat Informatika Jurnal Simetris JAIS (Journal of Applied Intelligent System) Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat ILKOM Jurnal Ilmiah CARADDE: Jurnal Pengabdian Kepada Masyarakat IJISTECH (International Journal Of Information System & Technology) Building of Informatics, Technology and Science Infotekmesin International Journal of Engineering, Technology and Natural Sciences (IJETS) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknik Informatika (JUTIF) IJISTECH Moneter : Jurnal Keuangan dan Perbankan Jurnal Informatika: Jurnal Pengembangan IT
Alzami, Farrikh
Faculty Of Computer Science, Universitas Dian Nuswantoro
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

Published : 49 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 49 Documents
Search

 1   2   3   4   5 
Business Process Design With BPR Life Cycle in Fertilizer Provision Ghina Anggun; Farrikh Alzami; Mila Sartika; Sri Handayani; Jumanto; Rindra Yusianto; Firman Wahyudi
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 6 No. 2 (2023): Issues January 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i2.8526

Abstract

Fertilizer is a supporter of soil growth and enrichment so as to increase agricultural production while at the same time improving environmental quality. The use of fertilizer is adjusted to the amount of land needed and the number of seeds purchased. In reality, fertilizer for shallots is still difficult to obtain, and prices are still high above retail prices, making shallot farmers want fertilizer subsidies from the government even though the subsidies provided are still inadequate and uneven. The purpose of this study was to analyze the effect of providing fertilizer on land area, seed needs, and prediction of fertilizer needs for shallots. The results of this analysis resulted in the design of business processes in the supply of fertilizers using the Business Process Reengineering Life Cycle method. Primary data collection was carried out using questionnaires and interviews with shallot farmers. The results showed that the production of fertilizer needs in accordance with the area of land and the number of seeds used. Therefore, efforts to increase the competitiveness of shallots can be carried out by proposing the BPR Life Cycle, so that the proposed framework is expected to be realized in order to increase productivity and build farmer institutions to realize further agricultural development.
Business Process Reengineering for Red Onion E-Commerce System Muhammad Noufal Baihaqi; Candra Irawan; Farrikh Alzami; Mila Sartika; Sri Handayani; Jumanto; Rindra Yusianto; Pulung Nurtantyo Andono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 6 No. 2 (2023): Issues January 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i2.8549

Abstract

Agriculture is a source of income for the country. One of the most promising agricultural commodities is shallots. Shallots are always found in every traditional market, traditional markets are one of the connecting places between buyers and sellers of shallots to carry out buying and selling activities of shallots. Onion buying and selling activities carried out in traditional markets are still conventional in this case, such as payment processing activities that still use cash, then in traditional markets the price of shallots is still not fixed, aka buyers can still haggle, so these two things are quite time-consuming and personnel in business process activities of shallot sales transactions. For this reason, here the author has the goal of doing business process reengineering to make the business process of buying and selling shallots in traditional markets more effective and efficient. By using the business process reengineering method, shallot transaction activities can be carried out using an e-commerce system, where the aim of this e-commerce system is to produce faster times for shallot transaction activities, process trimming, and reduce human resources in previous business process activities. as well as reducing costs. Thus, it is hoped that e-commerce can make the business process of buying and selling shallots between consumers and shallot traders more effective and efficient.
BUSINESS PROCESS REENGINEERING SUPPLY CHAIN MANAGEMENT SYSTEM BASED BLOCKCHAIN USING BPR LC Fikri Firdaus Tananto; Wellia Shinta Sari; Farrikh Alzami; Mira Nabila; Filmada Ocky Saputra; Chaerul Umam; Hasan Aminda Syafrudin; L.Budi Handoko
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 2 (2023): JUTIF Volume 4, Number 2, April 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.2.746

Abstract

The agricultural sector in Indonesia is a superior sector compared to other sectors. The red onion commodity in Indonesia has the highest household consumption rate. Nowadays, technological developments are widely used to support existing agriculture to get maximum results. One of the technologies that can be used in agriculture is blockchain. The application of blockchain has gained importance in information systems and information technology research in the agricultural sector. However, in Indonesia, precisely in Central Java, there is no red onion supply chain management that uses blockchain technology for data storage, data security and data transparency. The author has a goal to re-engineer to overcome these problems by implementing blockchain technology using the Hyperledger Fabric and modeling business processes with Business Process Modeling Notation (BPMN). This research uses the Business Process Re-Engineering Life Cycle method in which this research produces red onion supply chain management with a new business process that is described by Business Process Modeling Notation (BPMN) and produces blockchain applications with various features and testing has been carried out using the Black box testing method with the result that existing features can run well without problems and the web application is running according to user needs to support supply chain management deficiencies so that they become more optimal and transparent in data storage.
BLUEPRINT FOR RECORDING DATA ON RED ONION FARMING ACTIVITIES USING THE BPR METHOD Muhammad Riza Noor Saputra; Farrikh Alzami; Kukuh Biyantama; Muhammad Ridho Abdillah; Alvin Steven; Chaerul Umam; Aris Nurhindarto; Firman Wahyudi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 2 (2023): JUTIF Volume 4, Number 2, April 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.2.748

Abstract

To advance agriculture in Indonesia, farmers must be able to calculate the need for fertilizer, optimal use of pesticides, the amount of irrigation water required, the type of seed and the suitable land area in order to get maximum and sustainable agricultural yields. Besides that, farmers must also know the efforts in preventing and handling diseases. Therefore, researchers developed a prototype for recording data on agricultural activities both carried out by farmers and recording the condition of agricultural land by IOT. The Business Process Reengineering method is used to obtain an AS-IS system analysis so that a blueprint model is obtained that is suitable for recording agricultural activities. So that red onion farmers can manage customer relationships while performing their agricultural activities using this web-based information system application prototype. The results of the recording carried out by farmers and IOT using the Laravel web-based application development and using PostgreSQL version 14 can be used to provide input and notifications to farmers regarding actions that need to be taken.
Implementation of RFM Method and K-Means Algorithm for Customer Segmentation in E-Commerce with Streamlit Farrikh Alzami; Fikri Diva Sambasri; Mira Nabila; Rama Aria Megantara; Ahmad Akrom; Ricardus Anggi Pramunendar; Dwi Puji Prabowo; Puri Sulistiyawati
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1524.32-44

Abstract

E-commerce is selling and buying goods through an online or online system. One of the business models in which consumers sell products to other consumers is the Customer to Customer (C2C) business model. One thing that needs to be considered in the business model is knowing the level of customer loyalty. By knowing the level of customer loyalty, the company can provide several different treatments to its customers to maintain good relationships with customers and increase product purchase revenue. In this study, the author wants to segment customers on data in E-commerce companies in Brazil using the K-Means clustering algorithm using the RFM (Recency, Frequency, Monetary) feature and display it in the form of a dashboard using the Streamlit framework. Several stages of research must be carried out. Firstly, taking data from the open public data site (Kaggle), then merging the data to select some data that needs to be used, understanding data by displaying it in graphic form, and conducting data selection to select features/attributes. The step follows the proposed method, performs data preprocessing, creates a model to get the cluster, and finally displays it as a dashboard using Streamlit. Based on the results of the research that has been done, the number of clusters is 4 clusters with the evaluation value of the model using the silhouette score is 0.470.
Deep Learning Jaringan Saraf Tiruan Untuk Pemecahan Masalah Deteksi Penyakit Daun Apel Sutriawan Sutriawan; Ahmad Zainul Fanani; Farrikh Alzami; Ruri Suko Basuki
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 11, No 1 (2023): Jurnal TIKomSiN, Vol. 11, No. 1, April 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v11i1.729

Abstract

Diseases on apple leaves are becoming a major issue for apple growers since they can cause the crop to fail. Due to the diversity of diseases that can affect apple leaves, it can be challenging for farmers to determine the cause of leaf damage. The purpose of this research is to evaluate a convolutional neural network (CNN) method for its potential use in solving the problem of apple leaf disease identification. Four types of illness are dealt with: normal, multi-illness, rusty, and scabby. Many methods, such as data preparation and a preset VGG-16 artificial neural network (CNN) architecture, are recommended for use in the deep artificial neural network processing method. The most precise outcomes occurred when the beta parameter value was set to 2 = 0.999 at Ephoch to 85/100 with an accuracy of 0.7582, and when the epsilon parameter value was set to 1e-07 at Ephoch to 32/100 with an accuracy of 0.7582 with the best accuracy.
Implementation of a Supply chain Management System Blockchain-Based in Red Onion Farming Mira Nabila; Farrikh Alzami; Rama Aria Megantara; Fikri Firdaus Tananto; Hasan Aminda Syafrudin; L. Budi Handoko; Chaerul Umam
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 1 (2023): Vol. 11, No. 1, April 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i01.p02

Abstract

Red Onions are a horticultural commodity belonging to the spice vegetable group and an important role for economy of the Indonesian people. In red onion farming there have a problem of price fluctuations which result in an uneven and less transparent distribution of red onions yields, thus affecting both consumers and producers. To answer these problems, we designed a system to maintain and store red onion harvest data for farmers, collectors, distributors, and retailers in the form of a blockchain-based supply chain system. This system can maintain the validity of transactions in the supply chain of red onion farming with a private blockchain with Hyperledger Fabric. Then the data on the blockchain system will be displayed through the Hyperledger Explorer website. This system already passed the Black Box Testing system. From the research and testing of the system that has been made, this system can help the red onion farming to maintain the validity of transactions in the supply chain management.
PENGEMBANGAN DAN IMPLEMENTASI DOCKER UNTUK MEMAKSIMALKAN UTILITAS SERVER UNIVERSITAS PADA MASA COVID-19 Rama Aria Megantara; Farrikh Alzami; Ricardus Anggi Pramunendar; Dwi Puji Prabowo
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 24, No 2 April (2022): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.24.2.48-54

Abstract

Covid-19 membuat seluruh kegiatan produktif manusia terdisrupsi, tak terkecuali pada Pendidikan. kegiatan belajar yang seharusnya tatap muka kemudian berganti menjadi daring, memaksa universitas untuk membelanjakan anggaran tidak terduga untuk mendukung infrastruktur pembelajaran secara daring terutama server dan system Pendidikan daring yang Tangguh. Masalah yang peneliti angkat adalah kegiatan mahasiswa praktek untuk penggunaan alat maupun melakukan pemprograman yang membutuhkan sumber daya yang cukup besar. Dengan berfokus pada masalah pemprograman, peneliti menggunakan pendekatan pemanfaatan linux dan docker untuk membantu mahasiswa menggunakan sumber daya Perguruan Tinggi tanpa mengeluarkan biaya tambahan seperti pembelian computer baru maupun penambahan biaya listrik. Dari hasil Quisioner, didapatkan bahwa Server Docker yang dibangun, telah membantu 40 partisipant dalam menjalankan kegiatan belajar mengajar dan penelitian
PREDIKSI KATA KASAR BERBAHASA INDONESIA MENGGUNAKAN MACHINE LEARNING BERBASIS MOBILE INFRASTRUCTURE Puri Sulistiyawati; Farrikh Alzami; Dwi Puji Prabowo; Ricardus Anggi Pramunendar; Rama Aria Megantara; Nuanza Purinsyira; Enrico Irawan
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 24, No 2 April (2022): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.24.2.55-61

Abstract

Komentar kasar dan menyinggung dapat dijelaskan sebagai komunikasi yang bertujuan membuat satu atau lebih individu untuk berlaku marah. Oleh karena itu, diperlukan sebuah pendekatan untuk mengetahui apakah kalimat komentar yang akan ditulis merupakan komentar kasar atau bukan.  Kemudian, melihat dari keseharian penduduk Indonesia yang tidak terlepas dari smartphone, memberikan peluang untuk memberikan edukasi kepada pengguna smartphone bagaimana mendeteksi komentar kasar. Maka, pengembangan aplikasi berbasis android perlu dikembangkan. Penelitian ini bertujuan mengembangkan aplikasi mobile sentimen analisis deteksi kata kasar menggunakan TF-IDF sebagai fitur ekstraksi dan Naïve Bayes berbasis android flutter yang intuitif. Hasil pengujian menunjukkan nilai training akurasi 98%, training recall 98%, training precision 99%, testing accuracy 84.26%, testing recall 86.81%, dan testing precission 83.15%. Dengan demikian, aplikasi ini telah dapat memberikan prediksi yang baik sesuai harapan.
BIG DATA PIPELINE INFRASTRUCTURE DESIGN IN MSME E-COMMERCE SYSTEMS WITH A FOCUS ON DATA SOURCE PROCESSING USING ORCHESTRATION TOOLS Wibowo, Isro' Rizky; Sani, Ramadhan Rakhmat; Dewi, Ika Novita; Alzami, Farrikh; Rizqa, Ifan; Salam, Abu; Irawan, Candra; Aqmala, Diana
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 26, No 1 Januari (2024): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.26.1.48-54

Abstract

In the digital era, Micro, Small and Medium Enterprises (MSMEs) need to utilize data to improve their business performance, such as increasing customer targets, product development and pricing strategies. Apache Airflow is a powerful tool for building data scraping pipelines that are scalable, flexible, and easy to monitor. One of them is the Central Java MSME data scraping pipeline, which collects business registration information, business type, location, contacts, products, and financial information from various websites, including the Central Java Provincial Government website, basic goods price comparison tables, and specialized news sites. The captured data is stored in a data warehouse for further analysis by the Central Java souvenir entrepreneurs association (ASPOO) in the region. Apache Airflow is used to manage the scraping pipeline in the Central Java MSME E-Commerce system and ensure it runs smoothly. Apache Airflow also has a built-in dashboard for monitoring pipelines and troubleshooting issues. Overall, scraping pipeline in the Central Java MSME e-commerce system is a valuable tool for collecting and analyzing data on the MSME sector in Central Java. This pipeline is scalable, flexible and easy to use, and can be adapted to different user needs and can be integrated with various systems.
Co-Authors Abu Salam Aditya Rahman Adriani, Mira Riezky Ahmad Akrom Ahmad Akrom Ahmad Khotibul Umam, Ahmad Khotibul Ahmad Zainul Fanani Ahmad Zaniul Fanani Akrom, Ahmad Al-Azies, Harun Alpiana, Vika Alvin Steven Arifin, Zaenal Aris Nurhindarto Ashari, Ayu Asih Rohmani, Asih Azzami, Salman Yuris Adila Budi, Setyo Candra Irawan Candra Irawan Caturkusuma, Resha Meiranadi Chaerul Umam Chaerul Umam Chaerul Umam Chaerul Umam Choirinnisa, Dina Dewi Agustini Santoso Diana Aqmala Dwi Puji Prabowo Dwi Puji Prabowo Dwi Puji Prabowo, Dwi Puji Enrico Irawan Erika Devi Udayanti Esa Wahyu Andriansyah Fahmi Amiq Farah Syadza Mufidah Fikri Diva Sambasri Fikri Diva Sambasri Fikri Firdaus Tananto Fikri Firdaus Tananto Filmada Ocky Saputra Filmada Ocky Saputra Firman Wahyudi Firman Wahyudi Firman Wahyudi, Firman Fitri Susanti Ghina Anggun Hadi, Heru Pramono Hartono, Andhika Rhaifahrizal Harun Al Azies Hasan Aminda Syafrudin Ifan Rizqa Ika Novita Dewi Ika Novita Dewi Indra Gamayanto Indra Gamayanto Indrayani, Heni ISWAHYUDI ISWAHYUDI Jumanto Karin, Tan Regina Khariroh, Shofiyatul Khoirunnisa, Emila Krisnawati, Dyah Ika Kukuh Biyantama Kukuh Biyantama Kusmiyati Kusmiyati Kusmiyati Kusmiyati* Kusumawati, Yupie L. Budi Handoko Lalang Erawan Lesmarna, Salsabila Putri Mahmud Mahmud Marjuni, Aris Megantara, Rama Aria Mila Sartika Mila Sartika, Mila Mira Nabila Mira Nabila Moch Arief Soeleman Moh Hadi Subowo Moh. Yusuf, Moh. Muhammad Naufal, Muhammad Muhammad Noufal Baihaqi Muhammad Ridho Abdillah Muhammad Riza Noor Saputra Muhammad Rizal Nurcahyo Muslich Muslich, Muslich Muslih Muslih MY. Teguh Sulistyono Nuanza Purinsyira Nugraini, Siti Hadiati Nurhindarto, Aris Nurhindarto, Aris Pergiwati, Dewi Pratiwi, Yunita Ayu Pulung Nurtantio Andono Pulung Nurtantyo Andono Puri Sulistiyawati Puri Sulistiyawati Puri Sulistiyawati Purwanto Purwanto Purwanto Purwanto Puspitarini, Ika Dewi Rama Aria Megantara Rama Aria Megantara Ramadhan Rakhmat Sani Ricardus Anggi Pramunendar Rifqi Mulya Kiswanto Rini Anggraeni Risky Yuniar Rahmadieni Ritzkal, Ritzkal Rohman, M. Hilma Minanur Ruri Suko Basuki Saputra, Filmada Ocky Saputra, Resha Mahardhika Saputri, Pungky Nabella Sasono Wibowo Sejati, Priska Trisna Sendi Novianto Sendi Novianto sigit muryanto Sinaga, Daurat Soeleman, Arief Sri Handayani Sri Winarno Sri Winarno Steven, Alvin Subowo, Moh Hadi Sukamto, Titien Suhartini Sulistiyono, MY Teguh Sulistyowati, Tinuk Sutriawan Sutriawan Tamamy, Aries Jehan Thifaal, Nisrina Salwa Viry Puspaning Ramadhan Wellia Shinta Sari Wibowo, Isro' Rizky Widodo Yusianto Rindra Yuventius Tyas Catur Pramudi Zaenal Arifin Zahro, Azzula Cerliana Zulfiningrumi, Rahmawati