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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Computer System and Informatics (JoSYC) Jurnal Info Sains : Informatika dan Sains Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Information Systems and Technology Research Jurnal Algoritma Jurnal Sistem Informasi dan Manajemen ETHOS: Jurnal Penelitian dan Pengabdian kepada Masyarakat
Muhammad Fakhriza, Muhammad
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering 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 Social Sciences

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APLIKASI CONTENT MANAGEMENT SYSTEM (CMS) PADA JOOMLA UNTUK MEMBUAT WEB SERVICE Siambaton, Mhd. Zulfansyuri; Fakhriza, Muhammad
InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Vol 1, No 1 (2016): InfoTekJar
Publisher : InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (182.14 KB)

Abstract

Aplikasi CMS (Content Management System), yaitu aplikkasi yang dapat mempermudah  pengguna  dalam melakukan pengelolaan website.  Pengelolaan website dilakukan antara lain pengelolaan content, kategori dan user.  Selain itu, aplikasi juga dapat menampilkan content yang telah dibuat kedalam halaman web.  Aplikasi menyediakan  web service  untuk beberapa fitur yang dimilikinya sebagai alat untuk berinteraksi dengan aplikasi lain.  Web service tersebut dapat digunakan aplikasi lain untuk mendapatkan dan menambah content, mengelola dan mendapatkan kategori, serta untuk mengelola user pada aplikasi penyedia web service.  Aplikasi CMS yang digunakan adalah Joomla
Implementasi Metode Sequential Dalam Pencarian Pendistribusian Barang Pada Cargo Integration System Muhazir, Abdullah; Fakhriza, Muhammad; Sutejo, Eddy
Sinkron : jurnal dan penelitian teknik informatika Vol. 2 No. 1 (2017): SinkrOn Volume 2 Nomor 1 Oktober 2017
Publisher : Politeknik Ganesha Medan

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Abstract

Pencarian data yang banyak akan memakan waktu lama sehingga berpengaruh terhadap kinerja, Sequential Search adalah pencarian data yang dicari secara urut dari depan ke belakang atau dari awal sampai akhir , berdasarkan key yang di cari kelebihan dari proses pencarian secara berurut, dalam pembuatan aplikasi proses pencarian merupakan salah satu bagian yang penting dalam pemprosesan data. Algoritma dan metode yang di terapkan yaitu Sequential Seacrh. Algoritma Sequential Search merupakan Algoritma pencarian linier, algoritma ini melakukan pencarian lebih cepat karena proses pencarian sudah dalam keadaan terurut. Algoritma dan metode sequential search yang digunakan sangat cocok digunakan dalam aplikasi pencarian data pada barang karena dapat mencari suatu data yang di cari dengan cepat, apabila kata yang dicari tidak ditemukan maka akan berakhir. Hasil dari penelitian ini berupa Aplikasi pencarian data dapat mencari data dengan cepat.
School Administration Services Information System At Muhammadiyah DIKDASMEN TEGAL SARI II WEB-BASE Takhir, Said Hambali; Fakhriza, Muhammad; Alda , Muhamad
Journal of Information Systems and Technology Research Vol. 1 No. 3 (2022): September 2022
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v1i3.215

Abstract

At the time of the current era of technological globalization, the need for the Basic Education Council at the branch level is to be able to manage school business charities for more than 2 schools, with hundreds of teachers and students, so that the implementation of data collection is quite complicated and complex. Data collection that is done manually is considered inefficient considering the large number of teaching staff and schools managed by the head of education and education. One of them is at the Tegal Sari II branch which has 8 schools consisting of Kindergarten, Elementary School, and Junior High School. Online administrative services are considered sufficient to be a solution in the implementation of administration, one of the systems that has been widely developed is a website-based information system. One of the programming languages ​​that can be used in website development is PHP and MySQL. This research uses the R&D (Research and Development) method. Researchers conduct research in advance to collect the required amount of data with interviews, then carry out system development and conduct testing and evaluation of the system created.
APLIKASI PELAYANAN DAN PENGELOLAAN DISTRIBUSI LAPTOP DENGAN IMPLEMENTASI ALGORITMA DETERMINISTIK Ariansyah, Tri Sapri; Fakhriza, Muhammad; Santoso, Heri
Jurnal Sistem Informasi Bisnis (JUNSIBI) Vol 5 No 2 (2024): Jurnal Sistem Informasi Bisnis (JUNSIBI)
Publisher : Program Studi Sistem Informasi Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/junsibi.v5i2.1453

Abstract

Perkembangan teknologi berdampak kepada perkembangan dari kebutuhan manusia akan keberlangsungan hidupnya. Tidak jarang juga perkembangan teknologi dan informasi telah merambah ke berbagai bidang diantaranya bidang industri, pendidikan, dan lain sebagainya. PT. Dayamega Pratama ialah perusahaan yang bergerak di bidang distribusi laptop. Permasalahan yang timbul pada PT. Dayamega Pratama adalah ketika persediaan tidak cukup untuk memenuhi keinginan konsumen, hal tersebut akan mengurangi margin keuntungan yang diperoleh, selama ini PT. Dayamega Pratama mengantisipasi hal tersebut dengan memesan barang ke distributor lain, namun hal tersebut tidak terlalu efektif dan berdampak pada waktu tunggu yang diterima konsumen. Aplikasi ini dirancang untuk meningkatkan efisiensi dan akurasi dalam proses distribusi laptop. Algoritma deterministik digunakan untuk memastikan bahwa distribusi dilakukan secara adil dan optimal berdasarkan kriteria yang telah ditetapkan, seperti prioritas kebutuhan, kondisi inventaris, dan jadwal pengiriman. Dalam pengembangan aplikasi ini, beberapa modul utama dikembangkan, termasuk manajemen inventaris, pengelolaan permintaan, penjadwalan distribusi, serta pelaporan dan analisis data. Hasil dari pengembangan aplikasi ini menunjukkan bahwa sistem informasi atau aplikasi yang dibangun dengan mengimplementasikan algoritma deterministik dapat digunakan dengan baik tanpa ada kendala apa pun sehingga sistem distribusi dan pelayanan pada PT Dayamega Pratama menjadi efektif dan efisien. Penggunaan algoritma deterministik dalam manajemen distribusi laptop dapat meningkatkan kecepatan dan keakuratan distribusi. Selain itu, aplikasi ini juga menyediakan antarmuka yang user-friendly, sehingga pengguna dari berbagai level teknis dapat menggunakannya dengan mudah dan dapat menyelesaikan permasalahan pada PT. Dayamega Pratama.
K-Nearest Neighbor (KNN) Algorithm to Determine the Stock of Building Material Store Materials Safitri, Delilla; Fakhriza, Muhammad
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5731

Abstract

In recent months, a lot of infrastructure has been built, resulting in a shortage of goods in the warehouse due to increased demand for consumer goods and some goods not being sold. Such was the case in January and February 2024 when Riko Jaya panglong experienced a shortage of sand and cement supplies, causing losses. This makes it difficult to predict the inventory of an item in the warehouse. Inventory of goods has great strategic importance for the company. This prediction is very useful in determining the amount of goods to be shipped in the following month. Therefore, companies must implement proactive inventory management. The K-Nearest Neighbor algorithm which looks at the ecluiden distance between old cases and is compared with new cases in an effort to recognize supervised data or data that already exists and has been recorded to help make decisions on the latest cases, this algorithm is very widely applied in other studies because this algorithm has very simple steps and logical reasoning processes by producing the right data and decisions. This data is processed to determine the classification of goods whether increasing or decreasing. And the K-NN algorithm with a value of k = 3 is used to predict stock items. The test results show that K-NN can provide accurate predictions by calculating the Euclidean distance between testing data and training data. The prediction accuracy obtained from the Confusion Matrix reached 100%, indicating the high reliability of this model. Implementation of the K-NN algorithm in RapidMiner with cross-validation technique resulted in a performance of 71.43% for decreasing classification and 67.57% for increasing classification, showing the efficiency of the algorithm in classifying stock data.
Analisis Sentimen Program Makan Gratis Pada Media Sosial X Menggunakan Metode NLP Anggriyani, Wisda; Fakhriza, Muhammad
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5826

Abstract

This study aims to analyze public sentiment toward the free meal program initiated on Social Media X. Utilizing Natural Language Processing (NLP) methods klasification navie bayes, this research processes text data collected from various user comments and posts on the platform. The collected data is then classified into positive, negative, and neutral sentiment categories. The analysis process involves text preprocessing techniques, including tokenization, stemming, and stop words removal, to enhance the accuracy of the sentiment model. The analysis results show that most users responded positively to the program, particularly regarding the social benefits it offers. However, some negative sentiments were also detected, primarily related to the program's implementation and the quality of the provided meals. These findings offer valuable insights for program organizers to comprehensively understand public perception and make improvements in the future. This study also highlights the importance of using NLP in social media data analysis as a tool to identify and understand public opinion on a large scale.
Penentuan Desa Terbaik dengan Menerapkan Kombinasi Metode ROC dan SMART Margolang, R. Siddik; Fakhriza, Muhammad
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5834

Abstract

The problem that is used as a reference in this research is the assessment process which still uses the old method, namely by opening pages of documents, so this method takes a lot of time and energy in the assessment process and allows tolerance of values ​​that are similar, making it very difficult to determine the best village. The process of selecting the best village is a very important stage in building a competent and innovative village. The system built using the ROC and SMART methods aims to help data collectors reduce time in data collection and be effective in determining the best villages according to the criteria used. The criteria used are Village Cleanliness (K1), Education (K2), Economy (K3), Security and Order (K4), Role of the PKK (K5), Village Governance (K6) with 7 alternative data samples. Data for this research was collected through interviews and observations at the Rahuning District Office and processed using the ROC and SMART methods for weighting and evaluating decisions. The results of calculations using the ROC and SMART methods found that among the best villages, Gunung Melayu Village was a worthy candidate to become the best village candidate by obtaining a total score of 0.738889.
Information system for monitoring supervision and reporting the performance of religious subject teachers Zainuri, Ahmad; Fakhriza, Muhammad
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

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Abstract

The rapid development of technology requires that every individual, company and government agency, including educational institutions, must keep abreast of developments. The Ministry of Religion of South Labuhanbatu Regency, the government agency that oversees religious subject teachers, plays an active role in supervising the performance of religious subject teachers so that they are able to carry out their duties properly. The current monitoring system still uses a makeshift archive system. One solution to this problem is the support of a website-based information system using the divide and conquer algorithm to make it easier to manage real data into a website system. This system is designed using PHP and a database server used by MySQL. The end result of the research is to produce a website-based system that can help monitor teacher data collection at the Ministry of Religion of Labuhan Batu Selatan Regency, and make it easier for teachers to report the performance of religious subject teachers
SISTEM INFORMASI REKOMENDASI BERITA PADA WEBSITE SOLOPOS.COM MENGGUNAKAN ALGORITMA APRIORI Farhan, Muhammad; Fakhriza, Muhammad; Sinaga, Imam Adlin
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2810

Abstract

Abstract: Solopos.com presents reliable news from 2009 until the present day, covering various news categories such as education, sports, automotive, lifestyle, entertainment, business, and technology. With an overwhelming amount of news data, it is essential to establish a governance framework for recommending accessed news categories in order to enhance the business strategies of the company in the field of online news. This can be achieved through the implementation of data mining using the Apriori algorithm, which establishes associations within the data to generate news recommendations based on the accessed news category data. The implementation of news category recommendations using the Apriori algorithm involves creating tabular data with a binary number concept, generating itemsets of news categories based on minimum support values through iterations 1-3, forming association data based on confidence values, and determining the final rules Processing the recommendation of news categories using a minimum support value of 30% and a confidence value of 60% for 84 sample data of news categories obtained from each month within a year resulted in four association rule outcomes with the highest percentage of 71.4% among the total number of users. The Apriori algorithm method can be effectively applied to the news recommendation information system based on the seven news categories obtained from the Solopos.com website, thereby generating association values that can assist the company's strategies in news management. Keyword: Data Mining, Apriori Algorithm, News, Solopos. Abstrak: Solopos.com menyajikan berita terpercaya dari tahun 2009 hingga saat ini dengan beberapa kategori berita seperti pendidikan, olahraga, otomotif, lifestyle, entertainment, bisnis, dan teknologi. Dengan menghasilkan data berita terlalu banyak, perlunya tata kelola rekomendasi kategori berita yang diakses masyarakat guna meningkatkan strategi bisnis perusahaan dalam bidang berita online dengan menerapkan implementasi data mining menggunakan algoritma apriori yang membentuk asosiasi dalam data untuk menghasilkan rekomendasi berita sesuai dengan data akses kategori berita. Implementasi rekomendasi kategori berita menggunakan algoritma apriori dilakukan dengan membentuk data tabular dengan konsep bilangan biner, membuat itemset kategori berita sesuai nilai minimum support dengan iterasi 1-3, membentuk data asosiasi sesuai nilai confidence, dan menentukan rule akhir. Untuk 84 data sample kategori berita yang diperoleh dari setiap bulan dalam setahun, pengolahan rekomendasi kategori berita dengan nilai minimum support 30% dan nilai confidence 60% dapat menghasilkan 4 hasil nilai asosiasi yang memiliki persentase tertinggi yaitu sebesar 71,4% dari jumlah pengaksesnya. Metode algoritma apriori dapat digunakan pada sistem informasi rekomendasi berita berdasarkan 7 kategori berita yang diperoleh dari situs solopos.com dengan menghasilkan nilai asosiasi yang dapat membantu strategi perusahaan dalam pengelolaan berita. Kata kunci: Data Mining, Algoritma Apriori, Berita, Solopos.
IMPLEMENTASI ALGORITMA PIXEL VALUE DIFFERENCING (PVD) DALAM KEAMANAN DATA TEKS Nasution, Ratna Sabrina; Fakhriza, Muhammad; Irawan, Muhammad Dedi
JURSIMA Vol 12 No 2 (2025): Volume 12 Nomor 2 2025
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v12i2.934

Abstract

Steganografi telah menjadi solusi penting untuk mengamankan informasi sensitif dalam berkas yang tampak tidak mencurigakan seperti gambar atau dokumen. Makalah ini mengeksplorasi algoritma Pixel Value Differentencing (PVD) untuk menyembunyikan data rahasia dalam teks PDF, memastikan kerahasiaan tanpa menimbulkan kecurigaan. Penelitian ini menganjurkan penggunaan langkah-langkah keamanan yang kuat untuk mencegah akses yang tidak sah, menyoroti tanggung jawab organisasi dalam melindungi informasi sensitif. Dengan memanfaatkan sistem berbasis web yang menggunakan kriptografi Exclusive OR (XOR) dan steganografi PVD, penelitian ini bertujuan untuk meningkatkan perlindungan data terhadap potensi pelanggaran dan kebocoran. Meskipun menghadapi tantangan seperti noise pada gambar stego akibat karakteristik PDF yang disisipkan (teks, tabel, gambar), pendekatan ini secara signifikan mengurangi risiko keamanan, sehingga memperkuat langkah-langkah kerahasiaan untuk data perusahaan.
Co-Authors Abdullah Muhazir, Abdullah Ahmad Zainuri Alda , Muhamad Anggriyani, Wisda Ariansyah, Tri Sapri Eddy Sutejo, Eddy Heri Santoso Margolang, R. Siddik Mhd. Zulfansyuri Siambaton, Mhd. Zulfansyuri Muhammad Dedi Irawan Muhammad Farhan Nasution, Ratna Sabrina Nur, Fauziah Safitri, Delilla Sinaga, Imam Adlin Takhir, Said Hambali Widagdo, Rama Arianto