Article Per Year (5 Year)
p-Index From 2021 - 2026
10.414
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer JSI: Jurnal Sistem Informasi (E-Journal) Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Desimal: Jurnal Matematika INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal on Emerging Mathematics Education Jurnal ULTIMA InfoSys MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Information Technology and Computer Engineering J-SAKTI (Jurnal Sains Komputer dan Informatika) Aptisi Transactions on Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) EDUKATIF : JURNAL ILMU PENDIDIKAN Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ICIT (Innovative Creative and Information Technology) Journal Computer Science and Information Technologies Jurnal Bumigora Information Technology (BITe) Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) IAIC Transactions on Sustainable Digital Innovation (ITSDI) JOINTER : Journal of Informatics Engineering International Journal of Engineering, Science and Information Technology Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Information Technology (JIfoTech) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat JEECS (Journal of Electrical Engineering and Computer Sciences) Metris: Jurnal Sains dan Teknologi Scientific Journal of Informatics International Journal of Information Technology and Business INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal DIMASTIK
Hindriyanto Dwi Purnomo
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 116 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 116 Documents
Search

 3   4   5   6   7 
FORECASTING PRICES OF FERTILIZER RAW MATERIALS USING LONG SHORT TERM MEMORY Eliansion Ivan; Hindriyanto Dwi Purnomo
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.433

Abstract

This study uses long short term memory (LSTM) modeling to predict time series data on the price of fertilizer raw materials, namely prilled urea, granular urea, ammonium sulphate((NH4)2SO4), ammonia (NH3), diammonium phosphate((NH4)2HPO4 ), phosphoric acid (H3PO4), phosphate rock (P2O5), NPK 16-16-16, potash, sulfur, and sulfuric acid (H2SO4). Predictions are made based on data that existed in the past using the long short term memory method, which is a derivative of the recurrent neural network. Carry out the evaluation process by looking at the root mean square error (RMSE) and mean absolute percentage error (MAPE) of the model that has been created. The results obtained are quite good, as seen from the root mean square error (RMSE) and mean absolute percentage error (MAPE) which are close to 0 and not too high. Sulfur raw material got the smallest root mean square error (RMSE) with a score of 0.053 and diammonium phosphate raw material got the smallest mean absolute percentage error (MAPE) evaluation value with 2.3%, while the largest value was for the root mean square error (RMSE) of raw materials. Phosphoric acid fertilizer raw material with a value of 22,979 and the largest mean absolute percentage error (MAPE) comes from sulfuric acid fertilizer raw material with a value of 9.180%.
Sistem Informasi Uji KIR Angkutan Umum Berbasis Android Menggunakan Metode Waterfall (Studi Kasus: Dinas Perhubungan Salatiga) Mellyuga Errol Wicaksono; Hindriyanto Dwi Purnomo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.682

Abstract

Testing or inspection towards a certain motor vehicle are often referred to as a KIR testing. KIR testing is commonly performed by Dinas Perhubungan, a government agency. Usability of KIR testing is to test a vehicle's technical eligibility to decide if a vehicle is either suitable to be used on the road or not. The main goal is to improve the safety for vehicle. On this research, information systems regarding KIR testing towards public transportation were being made. This system information were built on a smartphone using Android operating system. In designing and building applications using the waterfall method, and in testing application using the black box testing method. The data storage system in this study uses Firebase which has been integrated with the application. The result of this research will be an information system in the form of an Android application at Dinas Perhubungan in the City of Salatiga.
Analisis Risiko Pinjaman dengan Metode Support Vector Machine, Artificial Neural Network dan Naïve Bayes Bandung Pernama; Hindriyanto Dwi Purnomo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.693

Abstract

Banking is an industrial institution that is influential in the economy of a country. Banks are engaged in finance that collect funds from the public in the form of deposits and distribute loans to the public. It is undeniable, that in making loans to the public, problems will inevitably arise, such as the borrower being late in making installment payments or misuse of funds for other purposes, the borrower failing to build his business, thereby hampering installment payments. In this study, we will predict loan risk using a machine learning approach using several methods such as Support Vector Machine (SVM), Artificial Neural Network (ANN), and Naive Bayes. From the results of research that has tested the three methods using cross validation, confusion matrix, and ROC curves, the Support Vector Machine (SVM) method, which is the method with the best results, is 92.0% accuracy, then the second method is Artificial Neural Network. (ANN) of 91.2% and the lowest accuracy is the Naïve Bayes method with an accuracy of 81.2%.
The Application of Restful Web Service and Json for Poultry Farm Monitoring System Hindriyanto Dwi Purnomo; Dody Agung Saputro; Ramos Somya; Charitas Fibriani
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.788 KB) | DOI: 10.54732/jeecs.v1i1.183

Abstract

Partnership schema is widely applied in Indonesia poultry farm industry. In this schema, a poultry company cooperates with many breeder partners to raise their chicken. The company sends their field inspection staffs to monitor the growth of the chickens. Large number of breeders with manual process of report, handle, and monitor takes a significant amount of time and efforts. In addition, the data cannot be observed immediately by the company. A poultry farm monitoring system based on the Application Programming Interface (API) is proposed in this research. The system can be used by breeders, breeder partners and field inspection staffs to facilitate the process of reporting, handling and monitoring by the poultry company. The API technology is applied as a data center and a data provider. The combination of RESTful web service and JSON into the API enable the integration can be processed safely as well as simple and easy to use. The proposed system can be applied to complement or replace the existing manual processes on many poultry farms with partnership schema.
Analisis Implementasi Enterprise Resource Planning Pada Human Resource Management (Studi Kasus: PT. Bengawantex) Aziz Jihadian Barid; Eko Sediyono; Aris Puji Widodo
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 1: April 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i1.1019

Abstract

This study aims to analyze the implementation of Enterprise Resource Planning (ERP) in order to find out how much influence its implementation has on the Human Resources management of PT. Bengawantex. Research using quantitative methods with a simple regression approach. This method is used to predict the effect of the dependent variable (human resource management) based on the independent variable (enterprise resource planning). The results of simple linear regression calculations show a value of 0.398. This value means that the influence of Enterprise Resource Planning (X1) on Human Resource Management (Y) is 39.8%. The remaining 60.2% is influenced by other variables outside the model, namely the t-count of variable X (product quality) of 1.408 which is smaller than the t-table value (2.015), and a significance value of 0.254 (smaller than the significance value set at 0.05). The t-count value which shows a positive number means that company resource planning (variable X) has no significant effect on human resource management (variable Y).Keywords: Enterprise Resource Planning; Human Resource Management; Linear regression AbstrakPenelitian ini bertujuan untuk menganalisis implementasi Enterprise Resource Planning (ERP) guna mengetahui seberapa besar pengaruh penerapannya terhadap manajemen Sumber Daya Manusia PT. Bengawantex. Penelitian menggunakan metode kuantitatif dengan pendekatan regresi sederhana. Metode ini digunakan untuk memprediksi pengaruh variabel dependen (manajemen sumber daya manusia) berdasarkan variabel independen (Enterprise Resource Planning). Hasil perhitungan regresi linier sederhana menunjukkan nilai sebesar 0,398. Nilai ini berarti pengaruh Enterprise Resource Planning (X1) terhadap Manajemen Sumber Daya Manusia (Y) adalah 39,8%. Sisanya 60,2% dipengaruhi oleh variabel lain di luar model, yaitu t-hitung variabel X (kualitas produk) sebesar 1,408 lebih kecil dari nilai t-tabel (2,015), serta nilai signifikansi sebesar 0,254 (lebih kecil dari nilai signifikansi yang ditetapkan sebesar 0,05). Nilai t-hitung yang menunjukkan angka positif berarti perencanaan sumber daya perusahaan (variabel X) tidak berpengaruh signifikan terhadap pengelolaan sumber daya manusia (variabel Y).
Implementasi Algoritma K-Means untuk Pengelompokkan Lama Sembuh Pasien Covid-19 Nadya Octavianna Lompoliuw; Hindriyanto Dwi Purnomo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.706

Abstract

COVID-19 (coronavirus disease 2019) is a disease caused by infection with the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). COVID-19 can cause disturbances in the respiratory system, ranging from mild symptoms such as flu, cough to lung infections. The spread of this virus is still happening, therefore the purpose of this study is so that the public can find out more information about COVID-19, one of which is the recovery time for COVID-19 patients consisting of 4 clusters, which are very long, long, fast, and very fast. judging by the length of the recovery. Grouping the recovery time of COVID-19 patients based on age, positive date and negative date using the K-Means Algorithm. The K-Means algorithm is an iterative grouping that partitions the data set into a number of K clusters that have been determined in the initial data. Of the 4 clusters that have been determined, the results obtained are cluster 1 (very long) which is the cluster that has the longest recovery time, which is 41-48 days with ages 31 and 48 years. It can also be seen based on the symptoms experienced at each different age, on average all experience symptoms of fever and cough.
Perancangan Aplikasi untuk Tes Diagnosis Gangguan Komunikasi (Afasia) Danu Satria Wiratama; Hindriyanto Dwi Purnomo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 2 (2023): APRIL-JUNE 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i2.779

Abstract

Aphasia is a disorder of the brain that causes sufferers to have difficulty communicating. In diagnosing this disorder, a TADIR test is needed. The TADIR test is actually a diagnostic tool that is carried out manually so it takes a long time to get the results, therefore in this study an application was created to shorten the diagnostic time while saving data automatically into the database so that treatment can be done faster. The stages in this research start from the identification of the problem, which then collects data and continues with the design and manufacture of applications, after the application the last stage is testing and reporting. In designing this application, a MySQL storage system is used which is already integrated with the application. The result of this study is an information system in the form of an aphasia diagnosis test application that can make diagnosis time efficient by 72% compared to using the manual method.
Evaluasi Kebergunaan (Usability) dan Rekomendasi Penggunaan Google Classroom untuk Blended Learning di Perguruan Tinggi Agus Priyadi; Eko Sediyono; Hindriyanto Dwi Purnomo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 11, No 2 (2021): Volume 11 Nomor 2 Tahun 2021
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol11iss2pp105-116

Abstract

The google classroom application is a virtual classroom mixed with real classes in education where the distribution of material and lecture assignments can be done by teachers and students without using paper or paperless. Interaction between teachers and students is done interactively online. The use of the google classroom application as a teaching tool has only been implemented at XYZ college, so usability testing is needed in the use of google classroom. Testing the usability level of Google Classroom is really needed to evaluate and get recommendations about using the Google Classroom application. The method used in this study is the USE (Usefullness, Satisfaction and Ease of Use) Questionnaire and Cognitive Walkthrough (CW) used in the google classroom usability test. USE stands for Usefulness, Satisfaction, and Ease of Use. Ease of use factors can be divided into two, namely Ease of Learning and Ease of Use. The USE test involved all XYZ college students, totaling 213 respondents. Ten respondents within certain criteria were selected by purposive sampling technique to test the usefulness of using the cognitive walkthrough (CW) method. The overall assessment of the usefulness factor with a mean value of 3.95 is included in the "Good" rating range. Overall, the satisfaction factor value of 4.01 is included in the "Good" rating range. Overall, the assessment of the Ease of use indicator with a mean of 4.22 is included in the "Good" rating range. The cognitive walkthrough (CW) method produces several recommendations that can be utilized by XYZ universities in implementing blended learning using google classroom. The usability factor with various features offered by Google Classroom is quite high because it can provide convenience in its use to support lecture activities at XYZ College
Triangular Fuzzy Numbers-Based MADM for Selecting Pregnant Mothers at Risk of Stunting Wiwien Hadikurniawati; Kristoko Dwi Hartomo; Irwan Sembiring; Hindriyanto Dwi Purnomo; Ade Iriani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4966

Abstract

Stunting is caused by a lack of proper nutrition before and after birth. This research paper identifies and measures the risk of stunting during pregnancy and make recommendations for ranking pregnant women at risk. These aims to provide appropriate treatment and action to reduce mothers giving birth to children at risk of stunting. To make the optimal choice, the selection procedure for pregnant women at risk of giving birth to stunted children considers a variety of factors, including maternal age, maternal nutrition, arms circumference, hemoglobin, parity, birth interval, height, baby weight, and body mass index (BMI). Decision-maker’s expectation to reduce uncertainty and imprecision are represented linguistically by triangular fuzzy numbers. The triangular fuzzy numbers arithmetic approach is used to determine the selection process output. The ranking is determined from the alternative with the most parameter values to the alternative with the fewest parameters. Based on the results of the calculation, it was determined that PM (Pregnant Mother) had the highest score and was ranked first. That pregnant mother was declared as pregnant mother who had the lowest risk of giving birth to stunted baby
Campus Entrepreneurship Service with Batik and Mathematical Ornaments Hanna Arini Parhusip; Hindriyanto Dwi Purnomo; Didit Budi Nugroho; Istiarsih Saputri Sri Kawuryan
KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Vol. 5 No. 2 (2023)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/ka.v5i2.5589

Abstract

The popularization of mathematics and the downstream of research in entrepreneurship is still very rare in universities. Therefore, the purpose of community service is to create campus entrepreneurial activities that popularize mathematics as research downstream. The used method is by preparing object-identifying designs and making products that contain and use these designs in the form of various items known to the public such as batik, accessories, souvenirs, and ornaments. Activities for socialization are carried out by participating in various exhibitions, and competitions and providing training to school students. Likewise, social media such as Instagram, YouTube, and Shopee are also marketing media. In 2022, partnerships with several restaurants and shops were used to expand marketing. In the last 3 years, significant results have been obtained in popularizing mathematics due to community service activities in the form of campus entrepreneurship in the Campus Intellectual Product Business Development Program scheme from the Indonesian government. The public can easily find products called Batik Innovation Mathematics (Batima) and Ornament Decorative of Mathematics (Odema) in the campus area, social media, Malioboro Mall Jogjakarta, and several restaurants in Salatiga.
Co-Authors 12.5202.0161 Daniel Yeri Kristiyanto Ade Iriani Adimas Tristan Nagara Hartono Adriyanto Juliastomo Gundo Agung Wibowo Agus Priyadi Ahmad Bayu Yadila Andre Kurniawan Andrew Aquila Chrisanto Pabendon Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Ani, Nyree Anton Hermawan Anwar, Muchamad Taufiq April Firman Daru April Lia Hananto Aris Puji Widodo Arseta, Gama Astawa, I Wayan Aswin Dew Atik Setyanti, Angela Aziz Jihadian Barid Azzahra Nurwanda Bandung Pernama Baun, Sindy Cristine Budhi Kristianto Budi Kristianto Budi Kristianto, Budi C. Leuwol, Sylvie Cahyaningtyas, Christyan Cahyo Dimas K Cesna, Galih Putra Chandra Halim Charitas Fibriani Christyan Cahyaningtyas Daniel Kurniawan Daniel Kurniawan Danny Manongga Danu Satria Wiratama Deden Rustiana Dedy Prasetya Kristiadi Didit Budi Nugroho Dody Agung Saputro Dwi Hosanna Bangkalang Edwin Zusrony Eko Sediyono Eliansion Ivan eremia Silvester Sutoyo Erwien Christianto Evang Mailoa Evangs Mailoa Fajar Rahmat Faudisyah, Alfendio Alif Fauzi Ahmad Muda Feibe Lawalata Florentina Tatrin Kurniati Giner Maslebu Gladis Tri Enggiel Griya Jitri Pabutungan Gudiato, Candra Hanita Yulia Hanna Arini Parhusip Hari Purwanto Hendra Kusumah Hendra Waskita Hendradito Dwi Aprillian Hendro Steven Tampake Hendry Heni Pujiastuti Hermanto Abraham, Rendy Hery Santono HR. Wibi Bagas N Hsin Rau Huda, Baenil Hui-Ming Wee Irdha Yunianto Irwan Sembiring Istiarsi Saptuti Sri Kawuryan Istiarsih Saputri Sri Kawuryan Iwan Setiawan Iwan Setyawan Janinda Puspita Anidya Jihot Lumban Gaol Joanito Agili Lopo Jonas, Dendy Kainama, Marchel Devid Karema Sarajar, Dewita Kho, Delvian Christoper Krismiyati Kristoko Dwi Hartomo Lea Klarisa Lumban Gaol, Jihot Markus Permadi Mau, Stevanus Dwi Istiavan Maya Sari Mellyuga Errol Wicaksono Merryana Lestari Mira Mira Mira Muhammad Aufal Muhammad Rizky Pribadi Nadya Octavianna Lompoliuw Nahak, Yosef Jeffri Silvanus Nahusona, Ferry Nanle, Zeze Nina Rahayu Nina Setiyawati Ninda Lutfiani Nurrokhman, Nurrokhman Nurtino, Tio Permadi, Markus Picauly, Irma Amy Pratyaksa Ocsa Nugraha Saian Priatna , Wowon Purbaratri, Winny Purnama Harahap, Eka Purwanto - Purwanto Putri, Violita Eka Radius Tanone Ramos Somya Raynaldo Raynaldo Raynaldo Raynaldo, Raynaldo Richard William Kho Riko Yudistira Robert William Ruhulessin Rufina Rahma Ajeng Setyaningsih Safitri, Adila Sakalessy, Afelia Jozalin Elisa Sampoerno Santoso, Fian Julio Santoso, Fian Yulio Santoso, Joseph Teguh Setiyaji, Akhfan Sri Kawuryan, Istiarsi Saptuti Sri Sri Yulianto Joko Prasetyo Sugiman, Marcelino Maxwell Sutarto Wijono Syamsul Arifin Tad Gonsalves Tad Gonsalves Teguh Indra Bayu Teguh Wahyono Theopillus J. H. Wellem Tirsa Ninia Lina Tri Wahyuningsih Trivena Andriani Tukino, Tukino Tumbade, Marcho Oknivan Tungady, Cornelius Arvel Pratama Untung Rahardja Utama, Deffa Ferdian Alif Valentino Kevin Sitanayah Que Walangara Nau, Novriest Umbu Wibowo, Mars Caroline Widyarini, Liza Wilujeng Ayu Nawang Sari Winny purbaratri Wisnu Wibisono, Indra Wiwien Hadikurniawati Yerik Afrianto Singgalen Yessica Nataliani Yos Richard Beeh Yos Richard Beeh Yos Richard Beeh Yudistira, Riko Yuli Agung Suprabowo, Gunawan Yusuf, Natasya Aprila Zakaria, Noor Azura