Andika Bayu Hasta Yanto
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Rancang Bangun Sistem Presensi Pegawai NON ASN Berbasis Website Pada Unit Pelayanan Pengumutan Pajak Daerah Uppd Tanah Wilayah Tanah Abang Jakarta Pusat Andika Bayu Hasta Yanto; Novalian Ramuchdani; Ade Setiawan; Rifky Permana; Andry Maulana; Ahmad Fauzi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 4 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i4.6451

Abstract

Management of non-ASN personnel attendance data is still carried out by entering the data into Microsoft Excel or Google Spreadsheet which has been provided by the office, then printing it into an attendance card is done by writing and archiving is saved via hardcopy which is also still not optimal. Therefore, mistakes often occur in the process of storing attendance data and not having back up data for honorary employees. From this gal, the author created a system that can help employees to take attendance and record attendance. By using a system development method, namely Software Development Life Cycle (SDLC) using the waterfall model, the author carried out this research to create a system that can be useful. With an employee attendance system, it can make it easier to record absences in a neater and more systematic manner for non-ASN employees. Non-ASN employees prefer to have a summary of their respective absence data so that if there is an error in salary payment, they can attach a summary of their absence
Desain Ulang Tata Letak Fasilitas Pabrik Dengan Menggunakan Metode Systematic Layout Planning (SLP) Pada PT Tesena Inovindo Andika Bayu Hasta Yanto; Ridwan Abimanyu; Fauzi, Ahmad; Novita Indriyani
IMTechno: Journal of Industrial Management and Technology Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v5i2.3374

Abstract

PT Tesena Inovindo Merupakan perusahaan yang bergerak dibidang perakitan alat kesehatan. Terdapat permasalahan pada PT Tesena Inovindo yang menyebabkan jarak perpindahan material pada proses produksi Infant Incubator menjadi cukup jauh, sehingga proses produksi mereka menjadi kurang optimal. Maka tujuan dari penelitian ini adalah membuat rancangan tata letak yang dapat lebih meminimalkan jarak perpindahan material pada proses produksi Infant Incubator. Metode yang digunakan dalam penelitian ini adalah systematic layout planning (SLP), merupakan metode yang digunakan untuk merancang tata letak fasilitas. Dalam penelitian ini juga dilakukan pengukuran secara langsung pada area produksi untuk menentukan ukuran dari masing-masing ruang dan fasilitas didalamnya. Berdasarkan hasil analisis maka ditemukan alternative layout yang dapat lebih meminimalkan jarak perpindahan material pada produksi Invant Incubator. Dimana jarak awal total perpindahan yaitu 154,85 M kemudian diminimalisir, sehingga jataknya menjadi 71,64 M. Maka dengan adanya alternative layout usulan ini dapat mengurangi jarak sekitar 83,21 M. Jika jarak perpindahan material dapat dikurangi maka waktu produksi kemungkinan juga akan menjadi lebih cepat dari sebelumnya.
Implementation of Data Mining of Organic Vegetable Sales With Apriori Algorithm Ahmad Fauzi; Andika Bayu Hasta Yanto; Novita Indriyani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3049

Abstract

In the modern organic vegetable sector, the author observes that there is very tight business competition. Therefore, an effective approach is essential to attract buyers, although restricted sources of new information are one of the hurdles in establishing this business.Association rules are expressed with numerous features that are commonly referred to as (affinity analysis) or (market basket analysis. It was discovered that if consumers buy curly red chilies, they are also inclined to buy cayenne pepper with a 100% confidence level. Likewise, if people buy kale and red curly chiles, they are more likely to buy cayenne pepper with a 100% confidence level. This also applies if consumers buy tomatoes and curly red chilies with a 100% confidence level. In addition, other associations were also observed, such as if consumers buy curly red chilies, they prefer to buy tomatoes with a confidence level of 86%, or if they buy tomatoes and bird's eye chilies, they tend to buy curly red chiles with an 86% confidence level.Likewise, if people buy both cayenne pepper and red curly chili, they are more likely to buy tomatoes with an 86% confidence level. Finally, if customers buy kale and cayenne pepper, they are also likely to buy red curly chilies at an 83% confidence level. Based on the data acquired from this study, it is intended to obtain information about combinations of organic veggies that consumers typically buy together in each transaction, with the intention of improving organic vegetable yields and devising appropriate sales tactics.
Rancang Bangun Sistem Informasi Penyewaan Mobil Listrik Berbasis Web Pada Autonet Rent Andika Bayu Hasta Yanto; Fauzi, Ahmad; Novita Indriyani
IMTechno: Journal of Industrial Management and Technology Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): Juli 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v6i2.8909

Abstract

Perkembangan teknologi informasi telah mendorong digitalisasi pada berbagai bidang usaha, termasuk jasa penyewaan mobil. Autonet Rent, sebuah usaha penyewaan mobil listrik, masih menggunakan sistem manual dalam pengelolaan penyewaan kendaraan yang menyebabkan berbagai kendala seperti kesalahan pencatatan data, ketidaktepatan biaya sewa, dan keterlambatan laporan. Untuk mengatasi hal tersebut, penelitian ini merancang dan membangun sistem informasi penyewaan mobil listrik berbasis web. Metode yang digunakan meliputi observasi langsung, wawancara, dan studi pustaka. Sistem ini memungkinkan proses digital mulai dari registrasi pelanggan, pemesanan kendaraan, hingga pencatatan transaksi dan laporan. Hasil pengujian menggunakan metode black-box menunjukkan bahwa seluruh fitur berjalan sesuai harapan. Sistem ini terbukti meningkatkan efisiensi operasional dan kemudahan akses layanan bagi pelanggan.
IMPLEMENTASI SISTEM INFORMASI INVENTORY BERBASIS WEB (STUDI KASUS: CV. SINAR ABADI CEMERLANG) Ahmad Fauzi; Novita Indriyani; Andika Bayu Hasta Yanto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 3 No. 2 (2020): Jurnal Teknologi dan Open Source, December 2020
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v3i2.781

Abstract

CV. Sinar Abadi Cemerlang adalah perusahaan yang berperan sebagai supplier dalam bidang printing promotion. Di tinjau dari banyaknya permintaan barang yang di butuhkan konsumen serta proses pencatatan stok persediaan barang dan pembuatan laporan yang masih bersifat manual, menjadi permasalahan pokok yang perlu di benahi di dalam perusahaan ini. Untuk memudahkan proses yang berjalan pada perusahaan oleh karena itu penulis mencoba membuat rancangan sistem mengenai inventory pada CV. Sinar Abadi Cemerlang. Perancangan sistem informasi ini menjadi solusi yang baik untuk membantu memecahkan permasalahan yang ada pada perusahaan. Dengan menggunakan metode waterfall maka di buatlah rancangan sistem inventory yang dapat menyimpan data persediaan barang, data konsumen, transaksi barang keluar, dan membuat laporan yang akan memudahkan perusahaan untuk mengelola data yang ada. Sehingga perusahaan dapat lebih meningkatkan kinerjanya agar lebih berani untuk bersaing dengan perusahaan lainnya. Dan konsumen pun bisa mendapatkan pelayanan yang lebih baik dari sebelumnya.
IMPLEMENTATION OF SALES INFORMATION SYSTEM OF INDONESIAN SPICES AT PT.INDO REMPAH Ahmad Fauzi; Novita Indriyani; Andika Bayu Hasta Yanto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 1 (2021): Jurnal Teknologi dan Open Source, June 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i1.1227

Abstract

Spices and herbs are biological resources that have long played an important role in human life. In the current pandemic where our bodies have an immune system that can manage the body's power, but the factors of age, lifestyle and regular use of drugs can affect the level of body power, therefore this spice has been considered to provide health and this has led to the demand for spices. high enough. The continuous use of spices, both from the household sector to the industrial sector, makes consumers have to find or buy these spices every day to the market or to spice collectors for industrial consumers. To meet market needs and consumer needs directly, therefore the proposed solution to overcome this problem is to use e-commerce media. The system development model used in making this information system is the SDCL (System Development Life Cycle) waterfall (Waterfall) or classic life flow. The stages that are passed in the system analysis and design process include: system requirements analysis, design, code generator, testing and support. From the results of this study, it is hoped that the existence of this spice sales information system can help farmers, especially spice producers, in terms of increasing the selling power of their agriculture, making it easier to carry out promotions, sales transactions to produce sales reports.
Selection of Coffee Shop Business Locations Using the Analytical Hierarchy Process Method Ahmad Fauzi; Novita Indriyani; Andika Bayu Hasta Yanto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1771

Abstract

The Coffee Shop business is one of the trending businesses in Indonesia, so competition in this business field can be said to be increasing rapidly. In order to get a strategic business location, the majority of decision makers are wrong in choosing the location of their business, this is due to the lack of analysis and to the data from the location survey and the lack of decision-making limitations in analyzing the survey data. For this reason, it is necessary to create a system, where this system uses the Analytical Hierarchy Process (AHP) method to assist in processing survey data. The application of the Analytical Hierarchy Process (AHP) method in determining the location of the Coffee Shop business is determined using 7 (criteria) criteria including rental prices, buildings, clean water, accessibility, distance to offices, internet connections and electricity sources. The final result of the process using the AHP method is ranking of several alternative locations that have been set, and several alternative locations get the highest global weight, it becomes recommendations for the development of this coffee shop business
Attendance Mobile Application With Face Recognition and Detect Location Andika Bayu Hasta Yanto; Ahmad Fauzi; Novita Indriyani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 5 No. 1 (2022): Jurnal Teknologi dan Open Source, June 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i1.2187

Abstract

Every company must have an attendance policy for each of its employees for the purpose of employee attendance and performance reports in the performance of their work, but currently there are still many companies that still have an absence system that is not computerized, so the calculation and accounting process is still done manually, because everything is calculated manually, it is possible that there are errors in the calculations and take time to process data absence of all employees. Therefore, an application that can automatically process and record data is needed to avoid errors and speed up the data processing process. In addition, the application can facilitate employees' attendance as it can be accessed directly from cell phones by using facial recognition and location detection to prove the attendance of employees.
Application Of Simple Additive Weighting (SAW) For The Selection Of Breast Milk Pumps For Working Mothers Novita Indriyani; Ahmad Fauzi; Andika Bayu Hasta Yanto
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 5 No. 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2626

Abstract

Optimal breastfeeding is very important because it can save more than 800,000 lives of children under five every year. Among the many reasons why mothers do not exclusively breastfeed is that they go back to work (22.5%). Homemakers have a greater chance of exclusively breastfeeding because they spend more time with the baby, allowing them to breastfeed optimally. Based on the results of previous studies, working mothers give breast milk directly (when they are at home or resting) and give milk from milk. Using a breast pump is considered more practical, easier and saves time. The breastpump method (MPA) for exclusive breastfeeding for working mothers also does not interfere with the work process and offers flexibility in working hours. What worries women who work while breastfeeding is maintaining breast milk production during working hours. However, according to research, there is no significant difference between the effectiveness and satisfaction of breast milk production when using an electric breast pump. The use of a breast pump does not affect the amount of breast milk produced, even though an electric breast pump provides more effectiveness and satisfaction in expressing breast milk. This study aims to select the type of breast pump for working mothers to facilitate exclusive breastfeeding of the baby. The result of the calculation of SAW method resulted in a recommendation for a breast pump Moom Uung with a value of 15.67 The result of the calculation of SAW method resulting in a recommendation for a breast pump Moom Uung with a value of 15.67.
Implementation of Data Mining of Organic Vegetable Sales With Apriori Algorithm Ahmad Fauzi; Andika Bayu Hasta Yanto; Novita Indriyani
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3049

Abstract

In the modern organic vegetable sector, the author observes that there is very tight business competition. Therefore, an effective approach is essential to attract buyers, although restricted sources of new information are one of the hurdles in establishing this business.Association rules are expressed with numerous features that are commonly referred to as (affinity analysis) or (market basket analysis. It was discovered that if consumers buy curly red chilies, they are also inclined to buy cayenne pepper with a 100% confidence level. Likewise, if people buy kale and red curly chiles, they are more likely to buy cayenne pepper with a 100% confidence level. This also applies if consumers buy tomatoes and curly red chilies with a 100% confidence level. In addition, other associations were also observed, such as if consumers buy curly red chilies, they prefer to buy tomatoes with a confidence level of 86%, or if they buy tomatoes and bird's eye chilies, they tend to buy curly red chiles with an 86% confidence level.Likewise, if people buy both cayenne pepper and red curly chili, they are more likely to buy tomatoes with an 86% confidence level. Finally, if customers buy kale and cayenne pepper, they are also likely to buy red curly chilies at an 83% confidence level. Based on the data acquired from this study, it is intended to obtain information about combinations of organic veggies that consumers typically buy together in each transaction, with the intention of improving organic vegetable yields and devising appropriate sales tactics.