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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal IPTEK Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Teknologi Informasi dan Terapan (J-TIT) JEECS (Journal of Electrical Engineering and Computer Sciences) West Science Social and Humanities Studies Science Information System and Technology Semar: Jurnal Pengabdian Kepada Masyarakat
Eko Prasetyo
Universitas Bhayangkara Surabaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Decision Support System for The Purchase of A Printer in Hi-Tech Mall Method Using Fuzzy Tahani Sutrisno; Eko Prasetyo; Rani Purbaningtyas
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (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 (584.54 KB) | DOI: 10.54732/jeecs.v1i2.171

Abstract

With the availability of many brands and types of printers sold by shops in hi-tech Mall resulted in consumers ' difficulties in selecting the printer as needed. In addition, the seller is also complicated in helping consumers to choose the printer that will be purchased. The existence of this, research is trying to build a printer purchase decision support system using fuzzy method tahani implemented in the form of an informative website. The printer then purchase SPK tested to 15 people the user is divided into 5 testing query, where on every test there are three categories i.e. inkjet, color laser and laser mono. Furthermore, the results of these tests are compared with the opinion of the user regarding the printer that match criteria you selected, and the obtained results of 67% user opinions match up with the results of the recommendation given by the system.
Classification of Diabetes Disease Using Naive Bayes Case Study : Siti Khadijah Hospital Ida Lailatul Qurnia; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (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 (383.573 KB) | DOI: 10.54732/jeecs.v1i2.177

Abstract

Less knowledge about symptoms and how to treat the disease of diabetes mellitus as well as a number of specialist diabetes mellitus which is still limited is one of the causes of the growing number of people affected by the disease. Diabetes disease classification system development aims to predict the type of diabetes patient or user who already suffer from diabetes mellitus. Therefore this system is made to diagnose the type of diabetes through laboratory test results, namely in the form of gender, age, disease history, family history, systolic, diastolic tensi tensi, temperature, pulse, blood sugar, fasting blood sugar JPP and Random blood sugar. That is by using the method of naive bayes as a method to process data on the patient's diagnosis. Test results of this system indicates that the system is able to predict the type of diabetes in patients, from the amount of data as much as 200 patient data, with an output that is the form of Diabetes Without Complications, Diabetes Type II and Normal but obtained the lowest accuracy rating of 39% and the value of the highest accuracy of 80%.
Forecasting the Number of Brick Production Using the Method of Exponential Smoothing Holt-Winter (case Study: PT Sik Krian) Afif Nuzia Al-Asadi; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (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 (436.953 KB) | DOI: 10.54732/jeecs.v1i2.178

Abstract

PT. SIK is an industry that produces a light brick type of brick. At a certain period, some companies are rising and the decline in demand which is quite significant. This research aims to know the condition of the company to overcome the overstock in the warehouse. The methods used to conduct forecasting in this research is a method of Exponential Smoothing Holt-Winter with seasonal multiplicative component and the addition of seasonal. The value of alpha, beta and gamma used is 0.6, 0.1, and0.5. With the value of the parameter is capable of producing the best MSE values with the value 1 in forecasting the year 2011 in October for seasonal multiplicative component, and the value of 0.006 in MAPE and the same month. For the addition of a seasonal best MSE values obtained on forecasting in 2013 in February with the value and worth of 5.016 MSE MAPE 0.013. The results of this research, the company was able to reduce the buildup of inventory and maximizing production for the coming period without having to fear a shortage of stock and overstocking.
K- Support Vector Nearest Neighbor: Classification Method, Data Reduction, and Performance Comparison Eko Prasetyo
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 (199.984 KB) | DOI: 10.54732/jeecs.v1i1.180

Abstract

The use of data mining in the past 2 decades in harnessing the data sets become important. This is due to the information given outcome becomes very important, but the big problem are the obstacles data mining task is a very large amount of data. A very large number indeed specificity of data mining in extracting information, but the amount of too big data also cause decrease the performance. On the issue of classification, data that are not positioned on the decision boundary becomes less useful and make classification method is not efficient. K-Nearest Neighbor Support Vector present to answer the problem that data is normally owned by very large data. K-SVNN able to reduce the amount of very large data with good accuracy without degrading performance. Results of performance comparisons with a number of classification method also proves that K-SVNN can provide good accuracy. Among the five comparison methods, K-SVNN got in the big 3 methods. K-SVNN difference accuracy to other methods less of 0.66% on the data set Iris and 20:29% on the data set Wine.
CLASSIFICATION OF ROASTING RATES IN COFFEE BEANS BY DIGITAL IMAGE PROCESSING USING THE NAIVE BAYES CLASSIFIER (NBC) METHOD M. Mahaputra Hidayat; Eko Prasetyo; Bambang Teguh Wicaksono
Jurnal IPTEK Vol 27, No 1 (2023)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2023.v27i1.3697

Abstract

Coffee is the bean of the coffee plant and is the source of coffee drinks. Coffee beans must pass through the coffee roasting stage or also called coffee roasting, from this stage of the process the coffee will be roasted and this process also has its own level. At this stage of the roasting process coffee shop business people often do not know this process, then in this case used Local Binary Pattern (LBP) method. LBP is a simple and very efficient texture operator by labeling pixels by doing thresholding on each pixel neighbors and considers the result as a binary number. This method is used to obtain the texture ektrasi of an image. While for the classification method using the Naive Bayes Classifier (NBC) method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset. The algorithm uses Bayes' theorem and assumes all the independent or non-interdependent attributes given by the values on the class variables. From the test results by comparing training data and testing data obtained an accuracy rate of 81%. For an image-based developed system with display recognition difficulties, this performance is good.
The Effect of Supplier Collaboration, Transport Efficiency, Technology Adoption, and Market Demand on Distribution Efficiency and Profitability of Pumpkin Seed Supply Chain in Indonesia Haryono Haryono; Indah Epriliati; Mochammad Muchid; Eko Prasetyo; Budi Endarto
West Science Social and Humanities Studies Vol. 2 No. 10 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i10.1376

Abstract

This study examines the effects of supplier collaboration, transportation efficiency, technology adoption, and market demand on the distribution efficiency and profitability of the pumpkin seed supply chain in Indonesia. Using a quantitative approach, data were collected from 150 respondents involved in the supply chain, including suppliers, distributors, and logistics providers. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that supplier collaboration, transportation efficiency, and technology adoption significantly enhance distribution efficiency, which in turn positively impacts profitability. Market demand was also found to moderate the relationship between distribution efficiency and profitability, particularly during periods of high demand. These findings underscore the importance of fostering collaboration, optimizing transportation, and adopting technology to improve the supply chain’s operational performance and financial outcomes. The study provides valuable insights for practitioners and policymakers aiming to enhance the agricultural supply chain's competitiveness and sustainability in Indonesia.
The Impact of ERP System Integration, User Training, and Management Support on Operational Efficiency in Mobile Coffee Businesses in Major Cities of Indonesia Haryono Haryono; Indah Epriliati; Mochammad Muchid; Eko Prasetyo
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1545

Abstract

This study investigates the impact of Enterprise Resource Planning (ERP) system integration, user training, and management support on operational efficiency in mobile coffee businesses across major cities in Indonesia. A quantitative approach was adopted, involving 65 business owners and managers who provided insights into their ERP adoption processes. Data were collected using structured questionnaires with a Likert scale of 1 to 5 and analyzed using SPSS version 26. The findings revealed that ERP system integration, user training, and management support each significantly and positively impact operational efficiency. ERP system integration and management support were the strongest predictors of improved operational performance. These results suggest mobile coffee businesses can optimize their operations by leveraging ERP systems, enhancing employee training, and ensuring continuous management support. The study provides valuable recommendations for business owners seeking to enhance their operational strategies in a competitive market.
Pembuatan Keripik Pisang Bu Sami Penguatan UMKM Dengan Pengembangan Varian Rasa Produk Keripik Pisang di Desa Dayurejo Kecamatan Prigen Kabupaten Pasuruan M. Febryansyah Hadi Putra; Rizka Ardiana Fitrianti; Eko Prasetyo
Semar: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2025): Semar: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/semarjpkm.v1i1.1

Abstract

Kripik pisang adalah camilan populer yang memiliki cita rasa manis dan gurih pada produk keripik pisang milik Bu Sami Di Desa Dayurejo Kecamatan Prigen Kabupaten Pasuruan, memiliki permasalahan yaitu kurangnya inovasi pada produk sehingga tujuan dari kegiatan ini  membantu meningkatkan kualitas produk dengan memberikan inovasi varian rasa baru. Hasil dari kegiatan ini respon pasar dari hasil upaya percobaan pemasaran di Pasar Sruworejo, Hutan Cempaka, Desa Dayurejo, adanya variasi rasa menunjukkan banyak dilirik dan diminati oleh pengunjung pasar hal ini membuktikan bahwa inovasi varian rasa pada keripik pisang Bu Sami berhasil semakin menarik minat konsumen.
Peningkatan Penghasilan dan Pemasaran Online pada Usaha Mikro Bank Sampah di Kelurahan Gunung Sekar Kecamatan Sampang Kabupaten Sampang Adiananda Adiananda; Amirullah Amirullah; Diana Rapitasari; Agus Mahmudi; Eko Prasetyo
Semar: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 1 (2025): Semar: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/semarjpkm.v1i1.5

Abstract

Mitra PKM adalah Bank Sampah di Kelurahan Gunung Sekar Kecamatan Sampang Kabupaten Sampang. Permasalahan ditinjau dari aspek manajemen adalah warga sekitar mitra di Kelurahan Gunung-Sekar masih belum mengenal manfaat bank sampah. Disisi lain nasabah Mitra belum mampu mengidentifikasikan ragam jenis sampah rumah tangga dan memisahkan sampah organik maupun non-organik. Dari aspek pemasaran, nasabah mitra mengalami kendala pemasaran produk kerajinan berbahan sampah non-organik: kertas (koran dan kardus), kaca, plastik, dan metal. Metode kegiatan adalah: (1) pelatihan kepada nasabah Mitra tentang manfaat Bank Sampah dari aspek lingkungan dan ekonomi, (2) pelatihan kepada nasabah Mitra untuk meningkatkan pengetahuan dan ketrampilan dalam identifikasi ragam jenis sampah rumah tangga dan memisahkan sampah organik maupun non-organik, dan (3) pelatihan untuk meningkatkan pengetahuan nasabah Mitra supaya mampu melakukan pemasaran online produk kerajinan berkualitas di media sosial. Luaran kegiatan adalah: peningkatan jumlah nasabah Mitra, peningkatan omzet usaha transaksi sampah non-organik mitra per-bulan, dan pemasaran produk kerajinan di media-sosial oleh nasabah Mitra.
Co-Authors Achmad Irfan Ferdiansyah Achmad Kiki Qushayri Wahyu Kusuma Adiananda Adiananda Afif Nuzia Al-Asadi Agus Mahmudi Ahmad Sarif Hikmawan Alamsyah Amirullah, Amirullah Anis Suryaningrum Ari Tria Widagda Arif Arizal Arif Mardi Waluyo Azziyati Nur Bambang Teguh Wicaksono Budi Endarto Chastine Fatichah Devit Hari Firmanto Diana Rapitasari Dita Mustika Anggraeni Efilah Risqi Maulana Erwin Dwi Riyanto Fardanto Setyatama Haryono Haryono Ida Lailatul Qurnia Indah Epriliati M Mahaputra Hidayat M. Febryansyah Hadi Putra M. Mahaputra Hidayat Mas Nurul Hamidah Mochammad Muchid Nanik Suciati R Dimas Adityo R Dimas Prasetyo R. Dimas Adityo Rahmawati Febrifyaning Tias Rahmawati Febriyaning Tias Rani Pubaningtyas Rani Purbaningtyas Rifki Fahrial Zainal Riyan Sukma Sasongko Rizka Ardiana Fitrianti Sona Ahmad Susanto Sutrisno Syariful Alim Wahyu Dyah Rizki Septiana Wildansyah Rokhmana Putra Wiwiet Herulambang