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All Journal Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Journal of Information System, Applied, Management, Accounting and Research Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Ilmiah Wahana Pendidikan Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science Formosa Journal of Computer and Information Science Jurnal Lentera Pengabdian International Journal of Applied Research and Sustainable Sciences (IJARSS) International Journal of Sustainable Applied Sciences (IJSAS) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian JPM MOCCI : Jurnal Pengabdian Masyarakat Ekonomi, Sosial Sains dan Sosial Humaniora, Koperasi, dan Kewirausahaan SAINTEK International Journal of Integrated Science and Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi Welfare: Jurnal Pengabdian Masyarakat
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Klasifikasi Status Gizi Orang Dewasa Menggunakan Algoritma Naïve Bayes (Studi Kasus Klinik Bhakti Mulia Cikarang) Wahyu Hadikristanto1; Tiara Deswara Pungkas
Jurnal SIGMA Vol 9 No 4 (2019): Juni 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Nutritional status is a condition caused by a balance between nutrient intake from food and nutritional needs by the body. The nutritional status of adults is sometimes less stable and there are many irregular eating patterns. To find out the nutritional status of adults, research on nutritional status in adults is carried out. Therefore, this study was made with a naïve bayes algorithm to determine the nutritional status of adults. Naïve Bayes is a simple probability-based prediction technique that is based on the application of the Bayes theorem, and the end result will be seen from the most appropriate or accurate value, so that this algorithm is considered to be good enough in performing probabilities to determine results. In this study, a naïve bayes algorithm was used to determine the nutritional status of adults. Data are classified into three, namely Normal, Less, and Obesity. This trial was conducted with 150 data, and the results of the accuracy obtained were 88.67%. Keyword : Nutritional Status, Classification, Data Mining, Naïve Bayes Algorithm
Analisis Tingkat Pembelian Konsumen dengan Algoritma Apriori Ismasari Ismasari; Maulida Ramadhan; Wahyu Hadikristanto
Jurnal Teknik Informatika UMUS Vol 2 No 02 (2020): November
Publisher : Universitas Muhadi Setiabudi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46772/intech.v2i02.292

Abstract

Saat ini data mining telah diimplementasikan ke berbagai bidang salah satu diantaranya adalah pada bidang bisnis atau perdagangan yang dapat membantu para pebisnis dalam kebijakan pengambilan keputusan terhadap apa yang berhubungan dengan persediaan barang. Misalnya pentingnya sistem persediaan barang di suatu Toko dan jenis barang apa yang menjadi prioritas utama yang harus di stok untuk mengantisipasi kekosongan barang. Karena minimnya stok barang dapat berpengaruh pada pelayanan konsumen dan pendapatan Toko. Metode yang sering digunakan untuk menganalisa pola pembelian pelanggan adalah metode asosiasi atau association rule mining. Association rule mining adalah suatu metode untuk mencari pola hubungan antar satu atau lebih itemset yang ada dalam suatu dataset. Algoritma yang paling popular dalam mencari pola hubungan item set adalah algoritma apriori atau sering disebut dengan market basket analysis. Proses yang dilakukan dalam penelitian ini menggunakan tools Rapid Miner untuk mengolah data dengan algoritma apriori, dari pengujian yang dilakukan dengan parameter yang telah ditentukan yaitu minimum support 70% dan minimum confidence 80% menghasilkan 4 aturan asosiasi dengan nilai confidance 100% yaitu kombinasi item aqua 600ml-fulloblasto caramel cruncy chocolat - yupi 500 semua rasa - beng beng 25g. Dengan pencarian pola menggunakan algoritma apriori ini diharapkan informasi yang dihasilkan dapat meningkatakan strategi penjualan selanjutnya
Grouping of Village Status in West Java Province Using the Manhattan, Euclidean and Chebyshev Methods on the K-Mean Algorithm Gatot Tri Pranoto; Wahyu Hadikristanto; Yoga Religia
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1097

Abstract

The Ministry of Villages, Development of Disadvantaged Areas and Transmigration (Ministry of Village PDTT) is a ministry within the Indonesian Government in charge of rural and rural development, empowerment of rural communities, accelerated development of disadvantaged areas, and transmigration. Village Potential Data for 2014 (Podes 2014) in West Java Province is data issued by the Central Statistics Agency in collaboration with the Ministry of Village PDTT which is in unsupervised data format, consists of 5319 village data. The Podes 2014 data in West Java Province were made based on the level of village development (village specific) in Indonesia, by making the village as the unit of analysis. Base on the Regulation of the Minister of Villages, Disadvantaged Areas and Transmigration of the Republic of Indonesia number 2 of 2016 concerning the village development index, the Village is classified into 5 village status, namely Very Disadvantaged Village, Disadvantaged Village, Developing Village, Advanced Village and Independent Village based on the ability to manage and increase the potential of social, economic and ecological resources. Village status is in fact inseparable from village development that is under government funding support. However, village development funds have not been distributed effectively and accurately according to the conditions and potential of the village due to the lack of clear information about the status of the village. Therefore, the information regarding the villages priority in term of which villages needs more funding and attention from the government is still lacking. Data mining is a method that can be used to group objects in a data into classes that have the same criteria (clustering). One of the algorithms that can be used for the clustering process is the k-means algorithm. Data grouping using k-means is done by calculating the closest distance from data to a centroid point. In this study, different types of distance calculation in the K-means algorithm are compared. Those types are Manhattan, Euclidean and Chebyshev. Validation tests have been carried out using the execution time and Davies Bouldin index. From this test, the data Village Potential 2014 in West Java province have grouped all the 5 status of the village with the obtained number of villages for each cluster is a cluster village Extremely Backward many as 694 villages, cluster Villages 567 villages, cluster village Evolving as much as 1440 villages, the cluster with Desa Maju1557 villages and the cluster Independent Village for 1061 villages. For distance calculation, Chebyshev has the most efficient accumulation time of 1 second compared to Euclidean 1.6 seconds and Manhattan 2.4 seconds. Meanwhile, the Euclidean method has the value, Davies Index most optimal which is 0.886 compared to the Manhattan method 0.926 and Chebyshev 0.990.
LITERATUR REVIEW MULTIMODAL AFFECTIVE SPEECH AND EMOTIONAL EXPRESSION Muhamad Fatchan; Andri Firmansyah; Wahyu Hadikristanto
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 16, No 1 (2019): APRIL 2019
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v16i1.844

Abstract

Affective computing in a new field that is closely related to human and computer interaction, the result of developing intelligent systems that are capable of recognizing human emotional data processing, the rapid development of computational technology in terms of hardware and software demands to meet the service needs of users, various computational technologies which is now easily available like smartphones and gadgets. Giving training skills to computers to be able to better interact with users to handle users' emotional communication aspects, for this reason machine sensing training cannot be separated from advanced service needs for users, this research focuses on advanced computing such as the introduction of facial expression emotions the user continues to develop the issue of recognizing facial effects in humans by extracting features from different human images.
Penerapan Algoritma Naïve Bayes Dalam Memprediksi Tingkat Penjualan Mobil Tahun 2022 Abdul Hasyim; Muhamad Fatchan; Wahyu Hadikristanto
Jurnal Teknik Informatika UMUS Vol 4 No 02 (2022): November
Publisher : Universitas Muhadi Setiabudi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46772/intech.v4i02.872

Abstract

Persaingan industri otomotif terutama pada sektor roda empat atau mobil setiap bulan semakin kompetitif. Berbagai merk mobil saling berlomba untuk menjadi primadona bagi konsumennya terutama masyarakat indonesia. Tidak dipungkiri hal ini membuat pabrikan atau perusahaan roda empat saling berlomba untuk meningkatkan penjualan mobilnya di sepanjang tahun 2020, tercatat lebih dari 10 merk mobil yang laku dimasyarakat seperti Toyota, Hino, Honda dan yang lainnya. Hal ini mendorong penelitian dengan konsep data mining menggunakan algoritma naive bayes yang bertujuan untuk dapat mengklasifikasikan setiap merk mobil berdasarkan kriteria tertentu. Algoritma ini mencatatkan akurasi sebesar 95,38 % dengan nilai precission 94,96% dan recal sebesar 90,21 %.
Rancangan Sistem Pendataan Fisik Kendaraan di PT Tass Engineering Berbasis Web Menggunakan Metode Waterfall Irfan Afriantoro; Wahyu Hadikristanto; Achmad Firmansyah Putra
Jurnal Teknologi Informatika dan Komputer Vol 8, No 2 (2022): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v8i2.1230

Abstract

Dalam penelitian ini dirumuskan permasalahan tentang bagaimana proses pendataan yang sering terjadi apabila terdapat perbedaan antara data fisik kendaraan dengan data pada proses pendataan kendaraan. Dalam proses pembuatan Sertifikat Registrasi Uji Tipe (SRUT) di dinas perhubungan, sering terjadi data yang diperoleh dalam pemeriksaan fisik kendaraan tidak lengkap dan akan menghambat proses pembuatan SRUT jika datanya tidak mencukupi. Dengan semakin banyaknya data fisik kendaraan, data fisik kendaraan yang telah diperiksa dan akan diserahkan ke dinas perhubungan untuk pembuatan SRUT seringkali hilang atau tercampur dengan data lain, dan memerlukan waktu yang lama untuk mencarinya. Tujuannya adalah untuk merancang sistem pendataan kendaraan berbasis web pada PT Tass engineering. Metode penelitian yang digunakan adalah metode waterfall dan pengujian sistem menggunakan pengujian black box untuk mengetahui kesalahan pada sistem pendataan fisik kendaraan. Hasil akhir dari proses yaitu rancang bangun sistem pendataan fisik kendaraan di PT Tass engineering. Pada PT Tass engineering telah dilakukan pengujian desain sistem pendataan fisik kendaraan yang menggunakan black box testing untuk menguji sistem dan tidak ditemukan masalah pada sistem. Akurasi sistem telah diuji coba dengan pengujian black box 100%, tidak terjadi masalah sehingga sistem dapat digunakan di PT Tass Engeenering. Pada proses pendataan fisik kendaraan yang sebelumnya masih manual dan prosesnya membutuhkan waktu 1 hari untuk pendataan fisik kendaraan, setelah dibuat sistem pendataan fisik kendaraan di PT Tass engineering proses pendataan hanya memerlukan waktu 20 menit. Dengan adanya sistem ini proses pendataan fisik kendaraan lebih cepat prosesnya.
Pengembangan Sistem E-Learning Menggunakan Metode Research & Development Pada MTs. Roiyatul Mujahidin Wahyu Hadikristanto; Nur Azizah; Aswan S Sunge
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

MTs Roiyatul Mujahidin is a tsanawiyah madrasa that forms quality human resources (HR). The learning system that takes place at MTs Roiyatul Mujahidin is done face-to-face and there is no online learning media that utilizes information technology that supports students' understanding of the main lessons by the teacher. The problem that has occurred so far is the ineffectiveness of teaching and learning activities in schools, so there is a need for additional hours of learning. Therefore, it is necessary to create a Web-Based E-Learning Information System at MTs ROIYATUL MUJAHIDIN using PHP and MySQL dataase which can be accessed anytime and anywhere so as to support the educational process at MTs Roiyatul Mujahidin and facilitate the dissemination of knowledge to students. E-Learning is a distance learning using internet technology, the development method used by the author is the Research & Development method, which is a method that uses a systematic and sequential approach starting from the development carried out in several stages, namely design, production, and evaluation. Keywords: Employee Recruitment, Classification, C5.0 Algorithm
Pengembangan Sistem Kontrol Larutan Nutrisi Pada Tanaman Hidroponik Berbasis Arduino Uno Menggunakan Metode Waterfall Purdianto Purdianto; Edora Edora; Wahyu Hadikristanto
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstract Hydroponics is a technique of growing crops without using soil as a growing medium but by utilizing water by pressing on the nutritional needs of plants. The hydroponic treatment method in general is to drain nutrient water after the nutrient content in the water decreases as the plant grows. Therefore, this study aims to help treat hydroponic plants with an automatic nutrient water control method using Arduino. The design of this final project uses the method of controlling water conditions automatically by checking the nutrient content of the water. This system uses Arduino Uno microcontroller. The microcontroller is used to read the nutrient levels in the water through the TDS sensor and control the nutrient pump to regulate the nutrient water in the hydroponic tank, then the sensor also reads the water temperature in the hydroponic tank via the LM35 sensor. From the test results, when the nutrients are less than the set point, the system will fill in the nutrient water. Then after the system reads the nutrient concentration value has passed the set point limit, the nutrient pump will stop. Based on the test results starting from the nutrient filling process to the draining the system can run with 100% success. Keywords: Hydroponics, Total Dissolve Solids, TDS Sensor, Arduino
Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Penerima Bantuan Rehabilitas Rumah Tidak Layak Huni Menggunakan Metode Simpel Additive Weigting (SAW) Pada Dinas Perumahan, Permukiman Dan Pemakaman Kabupaten Tangerang Wahyu Hadikristanto; Njai Njai; Andri Firmansyah
Jurnal SIGMA Vol 12 No 4 (2021): Desember 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The Tangerang Regency Housing, Settlement and Cemetery Service has house renovation assistance for Low-Income Communities (MBR). Data input still uses manual data in the form of data such as resident documents in determining the assistance in the form of house renovation. In determining the recipient of assistance still uses subjective assessment. Analysis of Manual Calculations with the Simple Additive Weighting (SAW) method after that analysis and design were made using object-oriented methods by making use cases, activities, sequences, class diagrams and user interfaces. The results of the design can be developed to help government agencies in Tangerang Regency. Keywords: Home Rehabilitation, Simple Additive Weighting, User Interface
Perancangan Sistem Informasi Penggajian Guru Pada SMK Negeri 1 Cikarang Selatan Wahyu Hadikristanto
Jurnal SIGMA Vol 12 No 1 (2021): Maret 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

SMK Negeri 1 Cikarang Selatan in processing Payroll Teacher still manual by using Excel format. The problems that often arise in the payroll system in SMK Negeri 1 Cikarang Selatan is a payroll error, mismatch reports with pay slips and do not have data storage databases, therefore required adalanya a computerized information system to facilitate the data processing. The research method used in this payroll information system is a structured method, while for the system pengembaangan using prototype, the method of analysis by using tools consisting of Flowmap and DFD, data collection methods with Interviews, Observations and Library Studies. And Making this application program using Borland Delphi 7 and with MySQL database 5.0.67. Keywords: information system, payroll, payroll information system.
Co-Authors ., Sapardi Abdul Halim Anshor Abdul Hasyim Abimanyu, Aldo Anggito Aceng Badruzzaman Achmad Firmansyah Putra Ade Muslim Agung Nugroho Ahmad Fauzi Ahmad Zy Ahmad, Asyari Ali Nurdiansyah Ananto Tri Sasongko Andika, Sophian Andri Firmansyah Anggara, Bastian Anisa Anisa Anisa Rahmawati Anshor , Abdul Halim Ariandi, Sheva Rizky Arvita Emarilis Intani Aswan S Sunge Atma, Dodit Ardi Ayu Fitriyani Badruzzaman, Aceng Dahyoung Yenuargo Dichi Setiawan Diki Febriani Dodit Ardiatma Doni, Muhamad Edi Junianto Edi Widodo Edora Edora Edora Edy Widodo Eko Budiarto Ermanto Fajar Arief Rachman Fatchan, Muhammad Fauzi Ahmad Muda Febro Herdyanto Galang Rintang Widya Pratama Gatot Tri Pranoto Gunawan, Ahmad Herol Herol Holwati Ikmal Riyan Firmansyah Imam Nasai2 Intan Sari Rahayu Irfan Afriantoro Irfan Afriantoro Ismasari Ismasari Jamroni, A. Reza Baehaqa Jamroni Karsito Keswanto Kurniadi, Nanang Tedi Laki, Abraham Leo Contantinus Meze Listanto, Firgiawan Maulida Ramadhan Mico Giovanni Dermawan Muhamad Fatchan Muhammad Farhan Alfarizi Muhammad Fatchan Muhammad Makmun Effendi Muhammad Najamuddin Dwi Miharja Muhammad Suprayogi2 Naufal Muyassar Nawangsih, Ismasari Nita Paramita Njai Njai Nur Azizah Nurhadi Surojudin Nurul Ariffaeni Islami Oktavianto, Rainal Zulian Permana , Indra Pradini, Purnama Sakhrial Prasetyo Prayoga, Dimas Preatmi Nurastuti Purdianto Purdianto Purnama Sakhrial Pradini Purwanto Purwanto Purwanto Putri N.A, Anindya Putri Nabila Adinda Adriansyah Rahmawati, Shinta Melliana Rahmawati Rasmiati Nur Aeni Retno Purwani Setyaningrum REZEKI, FITRI Risky Bambang Sutrisna romanuddin, ahmad Rosyati Adelia S Suprapto Sandi Salvan N N Sanudin Satria Permana, Muhammad Safri Sa’ad Khairudin Hanif Setiawan, Dani Yuda Dwi Siska Wulandari, Siska Sophian Andika Suderajat, Agung Sufajar, Sufajar Sufajar, Suprapto Suhardian Suhardian Suherman Suherman Suherman Sunaryati , Titin Sunita Dasman Sya syah Apriliyani Syach, Ridwan Syariefur Rakhmat, Adrianna Taofik Safrudin Taufik Hidayat Tiani Ayu Lestari Tiara Deswara Pungkas Tri Ngudi Wiyatno Turmudi Zy, Ahmad Vidya Anis Fitri Yahya, Adiba Yahya, Adibah Yoga Religia Yusup, Diana