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All Journal Tematik : Jurnal Teknologi Informasi Komunikasi Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal International Journal of Sustainable Applied Sciences (IJSAS) Jurnal Ilmiah Informatika dan Komputer
Muhammad Fatchan
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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ANALISIS EFISIENSI PEMAKAIAN GAS PADA INDUSTRI KERAMIK Tri Ngudi Wiyatno; Muhammad Fatchan; Ikhsan Romli; Andre Amara
Jurnal Pelita Teknologi Vol 14 No 2 (2019): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.697 KB) | DOI: 10.37366/pelitatekno.v14i2.236

Abstract

Abstrak – Petumbuhan Industri yang semakin pesat menjadikan pemakaian gas untuk kebutuhan proses produksi juga meningkat, sehingga apabila hal ini tidak diantsipasi maka akan terjadi krisis gas industi, untuk mengantisipasi terjadinya krisis kebutuhan gas industri maka salah satunya diperlukan adanya strategi peningkatan efisiensi dalam pemakaian gas. Pada penelitian ini dilakukan analisis efisiensi pemakaian gas pada Industri keramik, selama proses pembakaran keramik yang ada di tungku Kiln. Pada penelitian ini pengambilan data dilakukan dengan menggunakan data primer yang mengambil langsung dilapangan dan data sekunder dengan cara mengambil data yang sudah ada sebelumnya, selanjutnya dengan data-data tersebut dapat dihitung tingkat efisiensi gas yang dipakai untuk proses produksi. Dengan diketahuinya efisinsi gas yang digunakan dalam pembakaran keramik diharapkan dapat membantu untuk dilakuannya analisa perbaikan guna meningkatkan efisiensi pemakaian gas pada proses pembakaran keramik. Dari hasil penelitian didapat nilai efisiensi Kiln pada PT.XYZ selama bulan April 2019 sebesar 77,68% Kata kunci : gas, kiln, efisiensi.
Sistem Informasi Inventaris Peralatan Berbasis Web Pada Yayasan Pendidikan Islam Al-Azni Muhammad Fatchan; Novi Sri Yuliani; Andri Firmansyah
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 1 (2022): January
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i1.217

Abstract

Inventory equipment is one of the facilities provided to support and support the process of teaching and learning activities for teachers at the Al-Azni Islamic Education Foundation. However, currently the management of inventory data is not well organized so that it affects the process of borrowing and returning inventory equipment, because it is still not computerized, that is, the borrower only needs to write data on borrowing and returning goods in a notebook, this can have an impact on the delay in the work process if a lot of goods are needed. borrowed and returned. and the risk of goods being lost or damaged without the origin of the last borrower who used it. The purpose of this thesis is to produce a web-based equipment inventory information system with PHP and MySQL. The test is carried out using the Black-box testing method. From the results of the study it can be concluded that the existence of a web-based inventory information system can accelerate data processing about the facilities and infrastructure owned by the agency, and also has the ease and accuracy of running the system at the Al-Azni Islamic Education Foundation
Aplikasi Sistem Informasi Jasa Make Up Berbasis Web Pada Studi Kasus IYAIYOH Make Up Muhammad Fatchan; Rohayati Rohayati
JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) Vol 1 No 2 (2022): July
Publisher : Jurusan Informatika STTR Cepu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51901/jiifkom.v1i2.241

Abstract

Make Up Artists (MUA) usually offer their services using social media such as Facebook and Instagram. However, through the media, it is still not optimal because it is difficult for customers to know the location and whether the make-up service can come directly to the customer's place or not. In the ordering process, lyaiyoh Make Up is still done manually, that is, it is recorded in a book and the customer must contact by telephone or come directly to the salon to place an order. The purpose of this research is to design a web-based make-up service information system that was built using the Waterfall method. The benefits of this research are making it easier to register and ordering for customers, more structured and directed data management so as to minimize errors in recording. The conclusion is that in addition to the data processing process that becomes computerized, this system can also be a promotional media for lyaiyoh Make Up services
CNN Algorithm Approach for Classification of Tomato Fruit Maturity Levels Taufik Hidayat; Muhammad Fatchan; Wahyu Hadikristanto
International Journal of Sustainable Applied Sciences Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijsas.v2i5.1862

Abstract

The categorization of tomato maturity is covered in this study, which has important ramifications for the food sector and agriculture. For training efficiency, the approach uses augmentation with adjustments to rescale picture pixel values and shrink image sizes. According to the experiment's findings, accuracy increased by 93% throughout five training epochs. The training and validation graph indicates steady progress, despite the lack of significance in the improvement. Misclassifications that require correction are found during evaluation utilizing the confusion matrix. The study emphasizes that to enhance agricultural production management, flaws in the model must be filled and accuracy must be increased. The amount and diversity of photos in the dataset should be increased, as should the shooting angles and lighting conditions, and hyperparameters should be adjusted for future model performance optimization.
Analisis Sentimen Twitter Terpilihnya Prabowo - Gibran Menggunakan Metode Neural Network Diana Dwi Rahayu; Muhammad Fatchan; Alfonsus Ligouri
TEMATIK Vol 11 No 1 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i1.1943

Abstract

One of the most important elections in Indonesian democracy is the presidential election, which chooses the country's leader for the next five years. In the 2024 presidential election, there are three candidates for president and vice president, including the Prabowo Subianto - Gibran Rakabuming Raka pair. The election process has taken centre stage on social media, particularly Twitter, where people interact, share information, and express their opinions and feelings. This study aims to look at public opinion towards the Prabowo-Gibran team, which has attracted a lot of attention since Gibran was nominated as a vice presidential candidate until he was declared the winner in the 2024 presidential election by the KPU. This analysis provides valuable insight into understanding public opinion and feelings towards the president and vice president-elect. The method used in this research is neural network (NN), which is proven to be effective in text data classification and capable of producing high accuracy. The dataset used is public opinion on Twitter, which is taken through the data crawling process. The initial data of 1511 tweets was then cleaned and prepared into a dataset of 1500 tweets, with the main attribute being the content of the tweet. Based on the findings, the neural network model created was able to classify the sentiment of tweets related to the Prabowo-Gibran pair with an accuracy rate of 93%. Thus, this sentiment analysis makes an important contribution to understanding the public's response to the presidential election process and the election of a new president and vice president
Rancang Bangun Sistem Informasi Pengajuan Cuti Karyawan Berbasis Web Pada PT. Berlina Tbk, Cikarang Shinta Melliana Rahmawati; Muhammad Fatchan; Wahyu Hadikristanto; Ahmad Fauzi; Sunita
Jurnal SIGMA Vol 15 No 3 (2024): Desember 2024
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v15i3.6042

Abstract

Berlina TBK Cikarang masih menggunakan metode manual dalam pengajuan cuti karyawan, yang menyebabkan ketidakefisienan di bagian personalia. Untuk mengatasi hal tersebut, dikembangkan sistem informasi pengajuan cuti terkomputerisasi guna menyederhanakan proses pengajuan dan pengelolaan cuti. Sistem ini bertujuan untuk mempermudah pencatatan data, memfasilitasi konfirmasi cuti, dan memastikan distribusi tenaga kerja yang lebih baik. Sistem ini dirancang agar karyawan dapat mengakses informasi terkait cuti dengan lebih mudah serta memperlancar keseluruhan proses pengajuan cuti. Pengembangan sistem dilakukan dengan metode SDLC dan menggunakan Unified Modeling Language (UML) untuk perancangan sistem. Aplikasi ini dibangun menggunakan PHP dan MySQL dengan framework CodeIgniter. Diharapkan sistem ini dapat meningkatkan akurasi pencatatan cuti dan mendukung manajemen tenaga kerja yang lebih efektif di perusahaan.
Penerapan Algoritma Regresi Linier Untuk Memprediksi Jumlah Kasus Gizi Buruk Pada Anak Di Jawa Barat Sa’ad Khairudin Hanif; Muhammad Fatchan; Wahyu Hadikristanto; Putri Nabila Adinda Adriansyah; Karsito
Jurnal SIGMA Vol 16 No 1 (2025): Juni 2025
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v16i1.6054

Abstract

Penelitian ini bertujuan untuk membuat dan mengevaluasi model prediksi jumlah anak dengan gizi buruk di berbagai daerah di Jawa Barat menggunakan algoritma regresi linier. Data diambil dari Open Data Jabar yang mencakup berbagai faktor risiko. Fokus utama adalah mengukur akurasi dan efektivitas model dalam mendeteksi kasus gizi buruk serta menyelidiki peran teknologi pembelajaran mesin dalam membantu perencanaan dan penerapan intervensi kesehatan. Hasil penelitian menunjukkan bahwa model regresi linier yang dibuat memiliki tingkat akurasi yang memadai dengan R² sebesar 0.64, yang berarti model dapat menjelaskan 73% variasi dalam jumlah anak. Prediksi menunjukkan hasil yang sebanding dengan data asli, terutama di daerah dengan banyak anak. Penggunaan machine learning terbukti membantu pemerintah daerah dan lembaga kesehatan dalam menemukan wilayah yang membutuhkan perhatian khusus dan memungkinkan penempatan sumber daya yang lebih tepat sasaran dan efektif. Prediksi menunjukkan bahwa beberapa daerah, seperti Kabupaten Garut, Kabupaten Cirebon, dan Kabupaten Bogor, mungkin memiliki tingkat kasus gizi buruk yang lebih tinggi, yang memerlukan perhatian lebih dalam program kesehatan.
Co-Authors Ahmad Fauzi Alfonsus Ligouri Andre Amara Andri Firmansyah Diana Dwi Rahayu Ikhsan Romli Karsito Novi Sri Yuliani Putri Nabila Adinda Adriansyah Rohayati Rohayati Sa’ad Khairudin Hanif Shinta Melliana Rahmawati Sunita Taufik Hidayat Tri Ngudi Wiyatno Wahyu Hadikristanto