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All Journal Efisiensi : Kajian Ilmu Administrasi Jurnal Ilmu Komputer Jurnal Ilmiah Kursor Telematika SMATIKA Jurnal Informatika Upgris JURNAL MEDIA INFORMATIKA BUDIDARMA InComTech: Jurnal Telekomunikasi dan Komputer JURNAL ILMIAH INFORMATIKA JCES (Journal of Character Education Society) SINTECH (Science and Information Technology) Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Tekno Insentif IJISTECH (International Journal Of Information System & Technology) The IJICS (International Journal of Informatics and Computer Science) JUTEKIN (Jurnal Manajemen Informatika) JUMANJI (Jurnal Masyarakat Informatika Unjani) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Manajemen Informatika Jurnal Sistem Cerdas Jurnal Tekno Kompak MULTINETICS Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Dinasti International Journal of Education Management and Social Science Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Journal of Computer System and Informatics (JoSYC) JIKA (Jurnal Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Journal of Research in Instructional Merpati JUSTIN (Jurnal Sistem dan Teknologi Informasi) JOMLAI: Journal of Machine Learning and Artificial Intelligence Competitive Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ilmiah Sistem Informasi The Indonesian Journal of Computer Science

Prianto, Cahyo

Universitas Logistik Dan Bisnis Internasional

Author-ID : 5510005

Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Transportation Other

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PENENTUAN RUTE TERPENDEK LOKASI BADAN PUSAT STATISTIK KOTA BANDUNG DENGAN ALGORITMA DIJKSTRA Firwanda, Arjun Yuda; Prianto, Cahyo; Rahayu, Woro Isti
JUTEKIN (Jurnal Teknik Informatika) Vol 9, No 1 (2021): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v9i1.509

Dalam kehidupan sehari-hari teknologi informasi sangat berkembang pesat dengan kinerja yang cepat. Seseorang sering menggunakan teknologi untuk melakukan perjalanan dari suatu tempat ke tempat tujuan. Dengan kebutuhan perjalanan yang menuntut adanya pemilihan rute dalam jangka waktu yang singkat dan efisien terhadap waktu dan biaya yang dibutuhkan untuk mencapai ke tempat tujuan.Oleh karena itu dari permasalah tersebut peneliti menyimpulkan bahwa dalam menentukan rute atau jalur terpendek akan digunakan metode Algoritma Dijkstra yang diterapkan untuk memberikan rekomendasi rute perjalanan terpendek.Hasil dari penelitian ini rute terpendek menggunakan perhitungan Excel dan percobaan coding Python dan R. Berdasarkan pengujian yang dilakukan semua hasil pengujian menghasilkan rute terpendek yang dilalui adalah N1, N2, N5, N13, N15, N17, N20, N30, N32, N34, N36, N37, N38 dengan jarak dari titik awal N1 (Politeknik Pos Indonesia) ke titik akhir (Badan Pusat Statistik Kota Bandung) adalah 10.24 KM.Â Kata Kunci: Teknologi Informasi, Algoritma Dijkstra, Rute Terpendek, Google Maps

Sentiment Analysis of Student Emotion During Online Learning Using Recurrent Neural Networks (RNN) Nisa Hanum Harani; Cahyo Prianto
IJISTECH (International Journal of Information System and Technology) Vol 5, No 3 (2021): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i3.144

There are many limitations in online learning process where communication effect student productivity, such as interpretation in the delivery of information can be different if it is in text form . The unstable internet network in some parts of Indonesia is also an obstacle in the learning process. Emotional factors are very influential on student motivation in learning, in online learning emotions can be read from textual dialogue in providing responses. We propose trainable model capable of identifying the tendency of emotions / responses felt by students. With using natural language processing we can extract information and insights contained in conversations from WhatsApp, then organize them into their respective categories. The selection of the RNN algorithm can increase the accuracy by 75% in analyzing student emotions in online learning.

Sentiment Analysis of Covid-19 As A Social Media Pandemic Cahyo Prianto; Nisa Hanum Harani
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.90

A large amount of information about Covid-19 that spreads quickly can lead to a perception of opinion and sentiment for those who read it. This research studies how text networking is formed, sentiment analysis and topics modelling that is widely discussed related to the Covid-19 theme. The text networking analysis was carried out on data taken from 4 different times, namely on 26 March, 29 March, 28 June and 23 July 2020 giving the result that the largest edge, nodes and modularity were in the conversation data on July 23, 2020. Sentiment analysis shows how the public responds to the Covid-19 pandemic. Sentiment analysis from tweet data in March 2020 showed 51% as positive sentiment and 49% as negative sentiment, with an accuracy rate of 0.7586, specificity 0.6667, prevalence 0.5862. Then tweet data in June 2020 showed 59% as negative sentiment and 41% as positive sentiment, with an accuracy rate of 0.6486, specificity 0.6111, prevalence 0.5135. Analysis of topic modelling has succeeded in collecting words related to certain topics, such as the data on March 26, 2020, representing talks related to the topic of "doing activities from home", "health", and "government policy". The data on March 29, 2020, represent talks related to the topic of "activities from home", "expression of feelings", "new habits". The data on June 28, 2020, represent talks related to the topic of "health protocol", "social assistance", "health". And on July 23, 2020 data represents talks related to the topic of "data security", "fine policy", and "policy".

Analisis dan Perancangan Sistem Aplikasi Berbasis Website Untuk Sistem Manajemen Pendidikan dan Pelatihan Pada Whiteboard Edu Nurul Izza Hamka; Cahyo Prianto; Woro Isti Rahayu
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 10, No 3: Desember 2021
Publisher : STMIK Banjarbaru

Abstrak. Pandemi covid19 menyebabkan dibeberapa daerah tidak dapat melaksanakan proses pendidikan dan pelatihan seperti seminar ataupun workshop secara luring, sehingga mengakibatkan pelaksanaanya harus beralih menggunakan mode daring. Tulisan ini menyajikan model aplikasi berbasis Web yang dapat digunakan untuk memberikan informasi seputar seminar dan pelatihan daring khususnya yang diselenggarakan oleh Whiteboard Edu setiap saat, serta mampu mengelola setiap kegiatan dari awal sampai akhir dalam memfasilitasi terlaksananya seminar dan atau workshop daring. Pengembangan aplikasi menggunakan metode RAD (Rapid Application Development) dengan bahasa pemrograman PHP dan framework CodeIgniter. Hasil uji fungsionalitas sistem menunjukkan fitur-fitur pada sistem Web telah berjalan sesuai dengan kebutuhan pengguna untuk mempermudah pengelolaan kegiatan workshop secara daring.Kata kunci: Sistem Aplikasi, Manajemen Pelatihan, Berbasis Web, Whiteboard Edu, Rapid Application Development Abstract. The COVID-19 pandemic has caused some areas to be unable to carry out education and training processes such as seminars or workshops offline, resulting in the implementation having to switch to using online mode. This paper presents a Web-based application model that can be used to provide information about online seminars and training, especially those organized by Whiteboard Edu at any time, and is able to manage every activity from start to finish in facilitating the implementation of online seminars and or workshops. Application development uses the RAD (Rapid Application Development) method with the PHP programming language and the CodeIgniter framework. The results of the system functionality test show that the features on the Web system have been running according to user needs to make it easier to manage online workshop activities. Keywords: Application System, Training Management, Web Based, Whiteboard Edu, Rapid Application Development

Otomatisasi Keputusan Pemberian Kredit Pensiun Menggunakan Metode Weighted Product Kezia Tirza Naramessakh; Cahyo Prianto
Efisiensi : Kajian Ilmu Administrasi Efisiensi Vol. XVI No. 1 Februari 2019
Publisher : Jurusan Pendidikan Administrasi FE UNY & ASPAPI PUSAT

Abstrak: Otomatisasi Keputusan Pemberian Kredit Pensiun Menggunakan Metode Weighted Product. Dalam memberikan kredit pensiun, PT. Pos Indonesia masih mengalami kesulitan dalam menentukan Pensiun yang berhak atau layak untuk mendapatkan pinjaman kredit, sehingga dalam menentukan Pensiun yang berhak dan layak untuk diberikan pinjaman kredit membutuhkan waktu yang lama serta belum tentu hasil yang didapat juga benar. Maka penulis melakukan analisis kelayakan pemberian kredit agar bisa mempermudah dalam menentukan Pensiun yang layak atau diprioritaskan untuk diberikan pinjaman kredit. Penelitian ini menggunakan metode Weighted Product, yaitu salah satu metode penyelesaian untuk masalah Multi Attribute Decision Making (MADM). Multi Attribute Decision Making adalah keputusan analisis multi kriteria yang popular dan merupakan metode pengambilan keputusan multi kriteria. Dengan menggunakan metode Weighted Product (WP) akan mencari bobot untuk setiap kriteria, kemudian dilakukan proses peringkat yang akan menentukan alternatif optimal dari Pensiunan. Metode Weighted Product dapat membantu dalam mengambil keputusan kelayakan pemberian kredit. Penulis menggunakan lima kriteria yaitu, besar gaji, jumlah pinjaman, usia, jangka waktu kredit, kredit ke-berapa dan jaminan. Hasil dari penelitian ini, mempermudah dalam menentukan pensiun yang layak atau diprioritaskan untuk diberikan pinjaman kredit pensiun. Abstract: PENSION CREDIT ADMINISTRATION AUTOMATION USING THE WEIGHTED PRODUCT METHOD. In providing pension credit, PT. Pos Indonesia still has difficulties in determining which pensions are entitled or eligible to get a loan, so in determining which pensions are entitled and eligible to be given a credit loan requires a long time and not necessarily the results obtained are also correct. So the author analyzes the feasibility of lending in order to make it easier to determine which pensions are feasible or prioritized for credit loans. This study uses the Weighted Product method, which is one of the settlement methods for the Multi Attribute Decision Making (MADM) problem. Multi Attribute Decision Making is a popular multi-criteria analysis decision and is a multi-criteria decision making method. Using the Weighted Product (WP) method will look for weights for each criterion, then a ranking process will be carried out that will determine the optimal alternative of the Pensioner. Weighted product methods can help in making credit worthiness decisions. The author uses five criteria, namely, the amount of salary, loan amount, age, credit period, what credit and collateral. The results of this study make it easier to determine a decent or prioritized pension for a pension credit loan. Jika Anda menyusun daftar pustaka menggunakan standar American Psychological Association (APA), Anda bisa copy paste teks dibawah ini untuk Anda masukkan pada bagian daftar pustaka Anda!Naramessakh, K. T., Prianto, C. (2019). Otomatisasi keputusan pemberian kredit pensiun menggunakan metode weighted product. Efisiensi-Kajian Ilmu Administrasi, 16(1), 33-48. https://doi.org/10.21831/efisiensi.v16i1.24475

Sentimen Analisis Terhadap Pembelajaran Jarak Jauh Menggunakan Metode Naïve Bayes Classifier dan Lexicon Based Cahyo Prianto; Nurul Izza Hamka
Jurnal Ilmu Komputer Vol 14 No 2 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i02.p02

Since the beginning of the COVID-19 pandemic, all fields have been affected, especially in the field of education, where the learning process is currently carried out remotely. This research was conducted to find out the responses from the community within the scope of education such as students, students and teachers. The number of respondents who gave their responses as many as 265 through filling out a questionnaire in the form of a google form. Based on this research, it is known that of the 265 people who responded with a total of 6 statements, then obtained 1,590 different answers. From 1,590 data were reprocessed so that the final data was 1,468. As for the results of labeling with this Lexicon based dictionary, 162 were positive, 516 were negative, and 790 were neutral. The test results with nave Bayes obtained an accuracy rate of 53.8% by using the measurement of the effectiveness of the confusion matrix.

Electronic Data Interchange (EDI) Applications Use the Decision Tree Method to Determine Vendor Recommendations Mariana Rospilinda Siki; Nisa Hanum Harani; Cahyo Prianto
Jurnal Ilmiah Kursor Vol 10 No 2 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i2.217

Electronic Data Interchange (EDI) is an electronic data exchange mechanism between a company and another company or Business to Business (B2B) in a supply chain cycle. In this study, EDI's role in managing the procurement of goods as well as the EDI model has been applied. Determination of vendor recommendations is one element of vendor performance evaluation of the procurement process. Lack of information and analysis obtained by PT. Cinovasi Rekaprima makes it difficult to predict vendor recommendations. Predicted vendor recommendations can help the Procurement Division in developing appropriate strategies to determine recommended vendors. This problem can be applied to data mining techniques to make predictions using the classification method. Decision Tree is a method that converts facts into decision trees that represent rules that can be interpreted by humans. Attributes that influence the determination of vendor recommendations consist of the availability of goods, services, ease of ordering and product quality. Sample data obtained directly from the Procurement Division of PT. Cinovasi Rekaprima is primary data in the form of vendor data (quotation) and secondary data in the form of vendor performance evaluation forms. The result of the EDI application is a classification consisting of 2 classes, namely recommended vendors and non-recommended vendors and the Procurement Division can use it for decision making to determine the right vendor, so that the procurement process becomes easier and increases company profitability. The testing model uses k-fold cross-validation with the k value is 1 to 10 fold. This application can determine vendor recommendations with the highest accuracy 87.00 % on k-3 and k-5 fold.

Implementation of Multiple Linear Regression Methods as Prediction of Village Spending on Village Financial Management System Nisa Hanum Harani; Hanna Theresia Siregar; Cahyo Prianto
Jurnal Ilmiah Kursor Vol 10 No 2 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i2.216

The realization of village welfare and improvement of Village development can be started from the financial management aspects of the village. The village government has authority ranging from planning, implementation, reporting to accountability. There are two important variables as the financial aspects, there is village income, and village expenditure. The village budget process is a plan that will be compiled systematically. Planning has an association with predictions which is an indication of what is supposed to happen and predictions relating to what will happen. To provide a good village budget planning the village budget prediction feature is required. This prediction feature is done using data mining which is modeled i.e. multiple linear regression algorithm. The variable is selected using a purposive sampling technique and the sample count is 29 villages. Dependent variables are village Expenditure as Y, and independent variables i.e. village funds as X1 and village funding allocation as X2. The best values as validation were gained in the 3rd fold with a correlation coefficient of 0.8907, Mean Absolute Error value of 87209395.37, the value of Root Mean Squared Error of 114867675.6, Roll Absolute Error (RAE) Percentage was 42 %, and Root Relative Squared Error was 44 %.

Analisis Pemesanan Hosting PT Qwords Company International Menggunakan Metode K-Means Clustering Cahyo Prianto; Shinta Amelia
SMATIKA JURNAL Vol 9 No 01 (2019): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Qwords.com is a web hosting service company that serves domain name registration and web hosting. Qwords.com was established on July 10, 2005, and started using the Qwords.com brand since August 28, 2005. Hosting is a place to create web pages that have been made onlide, so that others can access them. In this study, the outhor found a problem, namely the difficulty of finding clients who often host in the area and from the company where the clients from. So the company is difficult to determine the target of promotion that will be done. Therefore, we need a method that can solve problems that exist to provide output in the form of calculation results that show the most purchased products in the category of hosting packages in 2017, and later this data is useful to determine the target of promotion.

PENDAMPINGAN IMPLEMENTASI PENGGUNAAN MEDIA SOSIAL UNTUK USAHA MIKRO KECIL DAN MENENGAH DI CIHANJUANG PARONGPONG Cahyo Prianto; Roni Andarsyah; Rd.Nuraeni Siti Fatonah
JCES (Journal of Character Education Society) Vol 3, No 1 (2020): Januari
Publisher : Universitas Muhammadiyah Mataram

Abstrak: Pesatnya perkembangan teknologi saat ini memberi banyak perubahan dalam berbagai sektor kehidupan, tidak terkecuali terhadap perubahan perilaku interaksi antara penjual dan pembeli. Dari hasil survey diperoleh data bahwa terdapat 36% pemilik UKM belum melek komputer dan internet untuk bisnis, 12% pemilik UKM menggunakan komputer dan internet untuk bisnis dan hanya 6% saja pemilik UKM yang sukses berbisnis online. Berbagai kegiatan UMKM yang digerakan masyarakat salah satunya terdapat di Desa Cihanjuang. Di Desa Cihanjuang saat ini terdapat berbagai UMKM yang berjalan dan bergerak dalam bidang food, fashion dan craft. Pada umumnya UMKM yang ada dalam menjalankan kegiatannya belum melibatkan teknologi berbasis internet sehingga penetrasi pasar pun masih berjalan secara konvensional. Hal ini yang menjadi permasalahan bagi masyarakat karena adanya keterbatasan informasi dan pengetahuan teknis penggunaan teknologi e-Commerce. Program PKM ini merupakan kegiatan yang menjembatani para pelaku UMKM untuk dapat mengoptimalkan peran media sosial khususnya facebook dan instagram sebagai media dalam memasarkan produknya. Secara lebih lengkap PKM ini bertujuan untuk 1) memberikan pemahaman kepada UMKM di Desa Cihanjuang tentang e-Commerce. 2) memberikan pendampingan dan pelatihan implementasi penggunaan media sosial sebagai sarana untuk memasarkan produk UMKM. Sasaran dari PKM ini adalah para UMKM yang berada di Desa Cihanjuang Kecamatan Parongpong Kabupaten Bandung Barat.Abstract: The rapid development of technology today gives many changes in various sectors of life, no exception to changes in interaction behavior between sellers and buyers. From the results of the survey obtained data that there are 36% of the owners of SMES not yet literate computers and internet for business, 12% of SME owners use computers and internet for business and only 6% of the owners of SMES who succeed in business online. Various SMES activities in the movement of the community are located in Cihanjuang village. In Cihanjuang village, various SMES are running and moving in the field of food, fashion, and craft. In general, SMES in carrying out their activities does not involve Internet-based technology, so the market penetration still running conventionally. It is a problem for the community because of the limited information and technical knowledge of the use of e-Commerce technology. This PKM Program is an activity that bridges SMES to be able to optimize social media roles especially Facebook and Instagram as a medium in marketing their products. More fully the PKM aims to 1) give understanding to SMES in Cihanjuang village about e-Commerce. 2) Provide mentoring and training implementation of social media use as a means to market SMES products. The target of the PKM is the SMES in the village of the Cihanjuang District Parongpong district of West Bandung.

Co-Authors Adiningrum, Nur Tri Ramadhanti Adiningrum, Nur Tri Ramadhanti Alfadian Owen Amalia, Fahriza Rizky Aminuyati Andarsyah, Roni Andi Tenri Wali Andri Fajar Sunandhar Arjun Yuda Firwanda Azzahra, Fedhira Syaila Putri Burhanudin Zuhri Dellavianti Nishfi Ilmiah Huda Dian Markuci Fahira Fahira Fedhira Fikri Aldi Nugraha Firwanda, Arjun Yuda Habib Abdul Rasyid Hanna Theresia Siregar Hanum, Nisa Harani, Nisa Hanum Harun Ar-Rasyid Helmi Azhar Hutabarat, Rizkyria Angelina Pandapotan Ilyas Tri Khaqiqi, M Indra Firmansyah Kamaluddin, Rendy Kezia Tirza Naramessakh Kezia Tirza Naramessakh Kishendrian, Hanan M Ilyas Tri Khaqiqi Mariana Rospilinda Siki Markuci, Dian Mohamad Nurkamal Fauzan Mubassiran Mubassiran, Mubassiran Muh Kusnadi Muhammad Ibnu Choldun Muhammad Nazhim Maulana Muhammad Rifqi Daffa Ulhaq Muhammad Yusril Helmi Setyawan Muhammad Yusuf, Hadi Nawaf Naofal Nico Ekklesia Sembiring Nisa Hanum Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nurkamal Fauzan, Mohamad Nurul Izza Hamka Nurul Izza Hamka Nurul Lutfiasih Oktaviami Manullang Oktaviami Manullang Pertiwi, Aryka Anisa Rahayu, Woro Isti Rd Nuraini Rd.Nuraeni Siti Fatonah Riza, Noviana Rolly Maulana Awangga Rolly Maulana Awangga, Rolly Maulana Roni Andarsyah Roni Andarsyah Roni Andarsyah Roni Andarsyah Rukmi Juwita Setiadi, Hilman Setyawan, Muhammad Yusril Helmi Shinta Amelia Shinta Amelia Sulaksono, Al Novianti Ramadhani Supriady, Supriady Syafrial Fachri Pane Syafrial Fachri Pane Syafrial Fachri Pane, Syafrial Fachri Syahra, anita alfi Vegita, Yola Zian Asti Dwiyanti Zuhri, Burhanudin

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