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All Journal Jurnal Sistem dan Informatika Jurnal Sistem Informasi dan Bisnis Cerdas Register: Jurnal Ilmiah Teknologi Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Eksplora Informatika Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal SITECH : Sistem Informasi dan Teknologi Building of Informatics, Technology and Science Jurnal Teknologi Dan Sistem Informasi Bisnis International Journal of Advances in Data and Information Systems Bulletin of Computer Science Research Jurnal Abdi Masyarakat Indonesia International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Locus Penelitian dan Pengabdian Jurnal Sains dan Teknologi JOMPA ABDI: Jurnal Pengabdian Masyarakat Journal Of Information System And Artificial Intelligence ABDINE Jurnal Pengabdian Masyarakat Journal Research of Social Science, Economics, and Management Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS

Albert Yakobus Chandra

Universitas Mercu Buana Yogyakarta

Author-ID : 3580207

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Perancangan Chatbot Menggunakan Dialogflow Natural Language Processing (Studi Kasus: Sistem Pemesanan pada Coffee Shop) Chandra, Albert Yakobus; Kurniawan, Didik; Musa, Rahmat
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 1 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i1.1505

Some cases that are often experienced at a particular institution such as Micro Enterprise are often a staff / employee in providing information services and transactions that are carried out manually to customers related to these business activities. This cycle always repeats from one customer to another. The impact if there are conditions where the queue of customer that is quite crowded than the workload of staff/employees will be higher and the risk of error in transactions will be high too. The development of information technology in artificial intelligence on 4.0 industry era is moving forward. One of them is Machine Learning - Natural Language Processing (NLP) which is one of the sciences that focuses on how computers can understand the human language and response to it. Therefor in this research a chatbot system will be builtin providing information and conducting transaction with the customers. This chatbot will be develop using the Dialogflow tools provided by Google. This Chatbot that was build expected to be an alternative that can be implemented in various bussines to provide better service for customers

PROTOTIPE SISTEM DETEKSI SUHU TUBUH DAN MASKER WAJAH MENGGUNAKAN ALGORITMA LOCAL BINARY PATTERN (LBP) DAN ARDUINO NANO Dewi, Ine Shinta; Chandra, Albert Yakobus
Jurnal Sistem Informasi dan Bisnis Cerdas Vol 14, No 2 (2021): JURNAL SISTEM INFORMASI DAN BISNIS CERDAS (SIBC) AGUSTUS 2021
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/sibc.v14i2.2679

The COVID-19 pandemic has changed the lifestyle of everyone around the world. In this change, wearing a mask is very important for every individual. Detection of people not wearing masks is a challenge as the outbreak of the Coronavirus pandemic has created large populations. In addition, detection of body temperature is also very important because one of the symptoms of COVID-19 is a high body temperature, therefore an effective method against the virus is to use a face mask and check body temperature in real time, and which will be the main focus in this prototype. how the LBP Algorithm can detect the use of masks and the Arduino Nano design with an infrared camera to measure body temperature which can be implemented in public places as a digital scanning tool. This testing prototype aims to be used in evaluating, preventing, and planning actions against COVID-19 and maintaining a distance between officers and the public in an environment where masks are mandatory and normal body temperature is required. The steps for building the model are collecting data, pre-processing, testing the model, and implementing the model. The results of this prototype test show an F1 score of 0.99 accuracy for mask detection and body temperature measurement in real time every second in degrees Celsius (C) with the highest average percentage error of 3.10% at a distance of 4 meters. DOI : https://doi.org/10.33005/sibc.v14i2.2679

Sistem Pendukung Keputusan Diskon Asuransi Dengan Metode Smarter Wirawan Galeh Pradhana; Albert Yakobus Chandra
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 3 No 2 (2021): Juli 2021
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v3i2.299

In the midst of fierce competition in the market share of car body repair and paint services with independent workshops in Yogyakarta, Nasmoco Bantul is expected to attract as many customers as possible to be able to carry out body and paint repairs, especially customers who use insurance whose percentage reaches 70% (based on the average monthly invoice data of Nasmoco Bantul). However, this has not reached the expected target because Nasmoco Bantul does not yet have a database that stores customer data complete with the insurance used. So in the research, a database system will be created that will manage and store customer data along with the insurance they use which later information from the database can be used to carry out the marketing process for body paint repairs. And this system is also equipped with an decision support system which aims to assist management in determining the provision of discounts to insurance company partners by using several indicators. This system is a web-based application that uses the CodeIgniter framework. The decision support system method used in determining discounting uses the SMARTER method.

Analisis Performansi Antara Apache & Nginx Web Server Dalam Menangani Client Request Albert Yakobus Chandra
Jurnal Sistem dan Informatika (JSI) Vol 14 No 1 (2019): Jurnal Sistem dan Informatika (JSI)
Publisher : Bagian Perpustakaan dan Publikasi Ilmiah - Institut Teknologi dan Bisnis (ITB) STIKOM Bali

Dalam keberadaan World Wide Web (WWW), web server menjadi salah satu faktor penting agar sebuah website dapat berjalan dengan baik dan melayani kebutuhan pengguna web tersebut. Web server yang tepat digunakan untuk sebuah sistem website maka dapat dipastikan website tersebut selalu dapat berjalan dengan baik. Saat ini banyak pilihan web server yang dapat digunakan untuk menjalankan sistem website, dua yang paling populer digunakan adalah Apache dan Nginx web server. Penelitian ini akan melakukan pengujian pada kedua web server tersebut untuk mengetahui salah satu web server yang terbaik dalam menyelesaikan client request. Pengujian yang dilakukan mengggunakan tools Apache Bench untuk melakukan benchmarking dari sisi banyak nya client request yang bervariasi mulai dari 100 request sampai dengan 1000000 request dan waktu yang dibutuhkan untuk menyelesaikan request tersebut. Hasil uji pada penelitian ini memberikan hasil benchmarking yang menunjukkan bahwa dari sisi penggunaan waktu, nginx menggunakan waktu lebih sedikit daripada Apache dalam menyelesaikan client request.

Inventory Application Design for Optimizing Business Processes for MSMEs Nyong Group Yogyakarta Putri Taqwa Prasetyaningrum; Albert Yakobus Chandra; Irfan Pratama
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2021): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Nyong Group is one of the Micro, Small and Medium Enterprises (MSME) located in Sleman, Yogyakarta. Nyong group has several business units, namely nyong shoes and care Yogya, shoes and care Cilacap, nyong donuts, and nyong stalls (food, snacks and chili sauce). The problems by IbM partners include; First, (1) There is no Point of Sales application that uses inventory to meet the needs of the production process or is sold again, (2) Not yet has this Inventory covering raw materials, in-process goods, and goods so (finished goods). The output targets in this program are (1) the application of point of sales applications for recording sales transactions, (2) Adding an inventory application to the created point of sales applications. The service program is carried out in 2 (two) forms; First, (1) design of a point of sales application for Nyong Group's sales transactions. Second, making an inventory application to be able to determine whether to record goods based on arrival time or the amount of stock you can determine to record goods based on arrival time or stock amount. The implementation of this program is designed in four stages of activity, namely: (1) Coordination and preparation stage (2) Design stage (3) Science and technology implementation stage (4) Evaluation and refinement stage.

Seleksi Fitur dan Penanganan Imbalanced Data menggunakan RFECV dan ADASYN Irfan Pratama; Albert Yakobus Chandra; Putri Taqwa Presetyaningrum
Jurnal Eksplora Informatika Vol 11 No 1 (2021): Jurnal Eksplora Informatika
Publisher : Bagian Perpustakaan dan Publikasi Ilmiah - Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v11i1.578

Proses data mining bekerja terhadap data yang tersedia. Jika dataset tidak tersedia sepenuhnya, hasil pengolahan data mining menjadi tidak optimal. Terdapat beberapa kondisi data yang perlu penanganan terlebih dahulu sebelum memasuki tahap data mining. Salah satunya ialah imbalanced class yang merupakan kondisi di mana distribusi data pada setiap kelas tidak proporsional. Sebagai salah satu cara untuk efisiensi proses klasifikasi, seleksi fitur dapat memenuhi kebutuhan tersebut karena hasil dari seleksi fitur adalah sebuah dataset dengan jumlah atribut yang lebih sedikit dari sebelumnya. Untuk menyelesaikan permasalahan imbalanced class, ADASYN digunakan dalam penelitian ini sebagai metode untuk menyeimbangkan proporsi kelas pada dataset. Sedangkan RFECV digunakan sebagai metode fitur seleksi yang dapat meningkatkan efisiensi pada proses klasifikasi. Setelah dilakukan evaluasi dari hasil klasifikasi pada dataset yang menggunakan seleksi fitur, didapatkan hasil klasifikasi yang lebih baik dibandingkan dengan hasil klasifikasi pada dataset tanpa seleksi fitur. Hal tersebut dibuktikan dengan perbandingan antara hasil terbaik dari akurasi klasifikasi dataset tanpa seleksi fitur. Hasil dari metode CART sebesar 85.1% yang merupakan hasil dari pengolahan data tanpa menggunakan metode fitur seleksi. sedangkan metode Bagging k-NN yang menghasilkan akurasi sebesar 88% yang di aplikasikan pada dataset dengan seleksi fitur. Sehingga dapat disimpulkan bahwa seleksi fitur dapat meningkatkan akurasi pada klasifikasi.

Decision Support System Penyaluran Bantuan Yayasan Al-Abrar Rashin Indonesia Dengan Metode Electre Adhien Kenya Estetikha; Albert Yakobus Chandra
Journal Of Information System And Artificial Intelligence Vol. 1 No. 2 (2021): Journal of Information System and Artificial Intelligence Vol I, No II Mei.2021
Publisher : Universitas Mercu Buana Yogyakarta

Yayasan Al-Abrar Rashin Indonesia merupakan salah satu Yayasan penyaluran bantuan untuk warga miskin, akan tetapi untuk menentukan warga penduduk yang akan mendapatkan bantuan masih mengalami kesulitan seperti dalam pengolahan datanya membutuhkan ketelitian, sehingga memungkinkan terjadinya rangkap data juga terjadinya kesalahan dalam penentuan penduduk yang harus diutamakan.Untuk menyelesaikan masalah tersebut, maka diperlukan suatu sistem pendukung keputusan yang dapat membantu dalam menentukan siapa yang berhak didahulukan dalam mendapatkan bantuan. Penelitian ini menerapkan metode Electre untuk melakukan penilaian, serta menggunakan 5 kriteria sebagai parameter penilaian dengan masing-masing bobot. Agar dapat membuat keputusan yang tepat diantaranya luas bangunan rumah dalam m2, jenis lantai rumah, jenis dinding rumah, pendapatan kepala keluarga dalam 1 bulan, dan jumlah tanggungan anak. Penilaian penerimaan bantuan yang dihasilkan dalam penelitian ini berupa rangking berdasarkan jumlah nilai ekl dengan hasil nilai tertinggi yaitu 36 terdapat pada alternatif ke-37 dan nilai terendah yaitu 2 pada alternatif A26.

Socialization and Training of The Use of Inventory Applications for Optimization of Goods Inventory Putri Taqwa Prasetyaningrum; Nurul Tiara Kadir; Albert Yakobus Chandra; Irfan Pratama
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2022): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

This service is entitled Socialization and Training on the Use of Inventory Applications for Optimizing Goods Inventory. The problems faced by partners include; First, (1) There is no socialization and training on the Inventory application, (2) Difficulty in making accurate customer demand forecasts. The output targets in this program are (1) application of services carried out by providing socialization and training, (2) Providing knowledge of proper and accurate inventory management. The service program is carried out in 2 forms; First, (1) socialization and training on the use of inventory applications. In using the inventory application, the training was carried out in 4 meetings. Every meeting there are training activities and socialization of the use of inventory applications to partners. Second, the design of the Nyong Group sales transaction inventory application. Second, activities and knowledge about optimizing inventory. These training sessions are conducted with partners and employees. The implementation of this program is designed in four stages of activity, namely: (1) Coordination and preparation stage (2) Training stage (3) Science and technology implementation stage (4) Evaluation & Mentoring Stage.

Optimalisasi Aplikasi Point of Sales (POS) untuk Meningkatkan Proses Bisnis pada Usaha Mikro Kecil Menengah (UMKM) Warung Inyong (Nyong Group) Albert Yakobus Chandra; Ahmad Iwan Fadli; Irfan Pratama; Putri Taqwa Prasetyaningrum
Jurnal Abdi Masyarakat Indonesia Vol 2 No 6 (2022): JAMSI - November 2022
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.556

Warung Inyong adalah salah satu dari usaha mikro kecil menengah (UMKM) yang berada di Sleman, Yogyakarta, Indonesia. Warung Inyong sendiri merupakan salah satu unit usaha dari Nyong Group dimana fokus dari unit usaha ini sendiri adalah penjualan berbagai jenis makanan seperti donat, makanan, snack dan saos sambal. Permasalahan yang terjadi pada warung inyong sendiri adalah proses pencatatan penjualan yang masing secara manual. Hal ini mengakibatkan kesulitan bagi unit usaha ini dalam menghitung total item terjual setiap harinya, bulan dan tahunan. Selain itu rentan terjadi kesalahan dalam perhitungan pelaporan karena masih dilakukan secara manual, selain itu dengan masih secara manual dilakukan perhitungan maka akan berpengaruh ke pencatatan untuk mempersiapkan stok bahan baku yang harus disediakan, seringkali terjadi kesalahan pembelian stok bahan baku karena tidak mengetahui berapa jumlah item yang sudah terjual untuk segera dilakukan re-stock bahan baku. Kegiatan pengabdian kepada masyarakat kali ini adalah yang pertama: merancang dan membangun aplikasi point of sales (POS) dan yang kedua adalah memberikan pelatihan kepada para stakeholders di warung inyong untuk dapat menggunakan aplikasi point of sales tersebut. Dengan pelaksanaan kegiatan pengabdian masyarakat ini dapat membantu warung inyong dalam mengatasi berbagai permasalahan yang ada sebelumnya.

Implementing Neural Network on Data Mining To Predicting Key Performance Index From Employee Albert Yakobus Chandra; Putri Taqwa Prasetyaningrum; Irfan Pratama
Journal Research of Social Science, Economics, and Management Vol. 2 No. 4 (2022): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Employee performance could help the company success to achieve its goals. In this era predicting employee performance is a necessity for companies to gain success. In this research, we presented a prediction of the employee performance index using a neural network. In this study, we are using the Cross-industry standard process for data mining (CRISP-DM) as the base framework for the data mining phase. The neural network classification method is employed to create the prediction model. The result shows that using a neural network could get a confusion matrix at 97.777 percent. This model was then applied to get insight from the performance index that showed a couple of factors is has an important role in employee performance.

Co-Authors Adhien Kenya Estetikha Ahmad Iwan Fadli Albahry, Azizan AzhariMalindo, M. Bang Ritan, Febriyanto Maria Chatarina Lilis Suryani dewi, Ine shinta Haryadi Santoso, Didik Irfan Pratama Kusnul Kotimah, Kusnul Leonardi, M. Anjas Mardonius Wandi Pratama Murti, Siti Tamaroh Cahyono Musa, Rahmat Natalia, Fransiska Nurafiya, Nurafiya Nurul Tiara Kadir Prasetyaningrum, Putri Taqwa Pratama, Irfan Pusaka, Semerdanta Putry Wahyu Setyaningsih Ratna Puspita Sari, Ratna Puspita Setyaningsih, Putry Wahyu Setyaningsih, Rila Suria, Ozzi Taqwa Prasetyaningrun, Putri Wahyu Setyaningsih, Putry Wirawan Galeh Pradhana

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