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All Journal Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JUTI: Jurnal Ilmiah Teknologi Informasi Prosiding SNATIF Sebatik Jurnal Ilmu Teknik dan Komputer Jurnal Mandiri IT JEECS (Journal of Electrical Engineering and Computer Sciences) Dike INTER TECH Jurnal Elektronika dan Telekomunikasi
M Mahaputra Hidayat
Universitas Bhayangkara Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics

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Penerapan Data Mining untuk Prediksi Penjualan Produk Skincare Menggunakan Metode KNN (K-Nearest Neighbors): Studi Kasus Klinik Ayume Beauty Care Amanda, Putri Yulia; Damayanti, Berlian Aisya; Choirun, Alisya Akbar; Sari, Selvi Novita; Armiyanti, Siti; Hidayat, M. Mahaputra
Dike Vol. 3 No. 1 (2025): Dike Edisi Februari
Publisher : CV. Ro Bema

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69688/dike.v3i1.122

Abstract

Abstrakāˆ’Prediksi penjualan produk skincare menjadi tantangan penting dalam industri kecantikan, terutama untuk membantu klinik seperti Ayume Beauty Care dalam menyusun strategi penjualan yang efektif dan mengoptimalkan manajemen stok. Penelitian ini bertujuan menerapkan data mining dengan metode K-Nearest Neighbors (KNN) untuk memprediksi penjualan produk skincare, dengan mengandalkan data historis penjualan, demografi pelanggan, serta informasi promosi dan musiman. Langkah awal meliputi pengumpulan data, pembersihan, dan transformasi data agar sesuai dengan persyaratan algoritma KNN. Model KNN kemudian dilatih menggunakan data historis untuk mengidentifikasi pola dan tren penjualan. Evaluasi dilakukan menggunakan metrik akurasi, precision, dan recall untuk mengukur performa prediksi. Hasil penelitian menunjukkan bahwa metode KNN dapat memberikan prediksi yang cukup akurat, sehingga memungkinkan klinik untuk merencanakan strategi penjualan yang lebih tepat sasaran dan efisien. Penelitian ini juga memberikan rekomendasi praktis bagi klinik dalam menentukan waktu dan jenis promosi serta menjaga ketersediaan stok produk sesuai permintaan yang diprediksi. Penerapan prediksi berbasis data ini diharapkan dapat meningkatkan efektivitas bisnis Klinik Ayume Beauty Care dan memberikan kepuasan lebih kepada pelanggan.
Analisis Ekspresi Wajah Untuk Deteksi Emosi Dan Menerapkannya Dalam Game Dan Survei Kepuasan Pengguna Hidayat, M. Mahaputra; Genio Makaloe, Egyu Darell Gallager; Astutik, Ambarwati Dwi; Efendi, Achmad Taufik
Dike Vol. 3 No. 1 (2025): Dike Edisi Februari
Publisher : CV. Ro Bema

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69688/dike.v3i1.124

Abstract

Penelitian ini bertujuan untuk menganalisis emosi pengguna melalui ekspresi wajah sebagai upaya untuk meningkatkan pengalaman pengguna (User Experience/UX). Dalam penelitian ini, dikembangkan sebuah sistem yang dapat mendeteksi berbagai emosi dasar, seperti senang, sedih, marah, dan lainnya, berdasarkan analisis ekspresi wajah. Teknologi ini memanfaatkan metode pengolahan citra dan pembelajaran mesin untuk mengidentifikasi emosi yang ditunjukkan oleh pengguna melalui fitur wajah, seperti pergerakan otot wajah, pembukaa n mata, dan ekspresi mulut. Sistem ini kemudian diterapkan dalam konteks aplikasi, seperti game interaktif dan survei kepuasan, yang memungkinkan adaptasi respons aplikasi sesuai dengan emosi pengguna secara real-time. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan aplikasi yang lebih responsif terhadap kondisi emosional pengguna, meningkatkan interaksi yang lebih natural dan personal, serta memberikan pengalaman pengguna yang lebih memuaskan dan bermakna.
A Mobile-Based Digital Solution (Mozak) for Mosque Management in the Modern Era. Adityo, R Dimas; Syafi'i, Syafi'i; Hidayat, M. Mahaputra; A.W, Satrio Cahyo; A, Sindi Hilda
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2721

Abstract

The mobile-based zakat management application serves as a modern solution to enhance the transparency and efficiency of zakat management at the local level. Mozak (Mobile Zakat) is an Android-based application implemented at Masjid Al-Ikhlas, Desa Janti, Sidoarjo, aimed at facilitating the collection, distribution, and monitoring of zakat. The application is designed with a user-friendly interface, allowing muzakki to pay zakat online and helping mosque administrators manage zakat data in real-time. This study evaluates the effectiveness of the Mozak application in supporting zakat activities at Masjid Al-Ikhlas, showing an improvement in operational efficiency. Additionally, the application enhances transparency in the distribution of zakat to mustahik
Tracking System for Indoor TV Antenna Based on CVBS Signal Processing Herti Miawarni; M. Mahaputra Hidayat; Surya Sumpeno; Eko Setijadi
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 2 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.48-55

Abstract

Analog terrestrial TV is still a popular choice for urban societies although the migration to digital system has already begun. Video quality of analog TV was heavily influenced by performance of the antenna. Most users prefer to use indoor antenna due to its simplicity. The disadvantage of this type of antenna is the users may need to change the antenna direction repeatedly when they change to different TV channel. In this research, we designed and developed tracking system that enable indoor TV antenna to adjust its direction automatically to get optimum video clarity. This system is built by several servo motors and telescopic antennas. Composite Video Baseband Signal (CVBS) processing is used to obtain reference information regarding video clarity level conditions on TV screen. The results show that CVBS signal processing has performance in describing video clarity level. System performance has been verified from trial results on some UHF channels. Minimum tracking time is reach 23.4 second and the maximum reach 24.6 second.
Analysis and Development of Laboratory Information Systems (case Study : Informatics Engineering Laboratory, Bhayangkara University, Surabaya) Syariful Alim; M Mahaputra Hidayat; Muchammad Faisal Aditya
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v6i1.189

Abstract

At first information systems do not have to be associated with information technology, but with the development of the times, nowadays an information system can not exist without the use of information technology. A system is needed to facilitate the affairs of an organization. The effecctiverss of the system will affect the success of the organization under it. The development of Web-based Information Systems is an effort to develop the implementation of practice and in order to improve the quality of services to students that are effective, efficient and transparent, and directed to achieve the establishment of information networks and service transactions to qualified students without restrictions on partition and space. The end goal is the development of Laboratory Information System is expected to accommodate the concept, the essence and the nature of service to students with excellenees. The results of the test based on questionnaire data. Presentase conformity system reach 92%, where the system runs in accordance with the wishes of responden. While the system discrepancies reach 8%.
Decision Support System for Selecting Order Types Using the SAW-AHP Method M Mahaputra Hidayat; Mas Nurul Hamidah; Rizky Wahyu Prastyawan
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v5i2.92

Abstract

This study aims to make it easier for users to choose the type of orchid that is suitable for planting in the user's environmental conditions. This research was conducted because there were many orchid enthusiasts who wanted to cultivate it but it was not balanced with knowledge of the characteristics of orchids that can live in ideal environmental conditions. The SAW method plays a role in the initial classification where the results of the SAW method classification are sorted from the largest value to the smallest value, then the 10 best results from the SAW method will be processed by the AHP method and produce the final result, the recommended orchid. The final result obtained in this system is in accordance with the manual calculations performed, this means that the system classifies rules properly and accordingly.
Applying the Weighted Product Method for The Best Selection of Personal Quality Control in Pt. Pacific Equinox Surabaya M Mahaputra Hidayat; Eko Prasetyo; Sona Ahmad Susanto
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v5i1.99

Abstract

The aim of this research is to design and implement a decision support system software for the selection of the best quality control at PT. Pacific Equinox Surabaya. The intent and purpose of this research is to study the process of selecting the best employees who have been working on a manual system into a computerized system and use the Weighted Product method as an algorithm to facilitate the process of selecting the best employees.This system also has the advantage of helping the management process data and values of PT. Pacific Equinox Surabaya employees. In addition, more efficient time efficiency and also helps in the process of making reports required by management.The results of this study are applications that can make it easier to analyze a number of data, in order to help provide information as a result of the best employee decision making. But this system also still has weaknesses in terms of facilities and program appearance so that it still needs improvement
District and City Clasterization Based on Adipura Assessment in The Region of Indonesia Using the Fuzzy Methodc-Means Syariful Alim; M Mahaputra Hidayat; R Dimas Adityo; Elta Deka Wilinda
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v5i1.102

Abstract

Adipura is an award for Indonesian cities that succeed in cleanliness and management of the urban environment. Adipuraisorganizedby the State Ministry ofEnvironment.Adipurais actually usedasatool to encourage the motivation of government officials and the community to improve and improve environmental hygiene conditions in Indonesia. The problem istodeterminetherecipient ofAdipuratakes2weeksto selectRegenciesandCities in all regions of Indonesia, in this study there were 374 Cities and Regencies collected. Clustering is a method of grouping based on the size of closeness (similarity). Clustering is different from a group, if a group means the group is in the same condition, if not, then definitely not the group. One method that can be usedin clusteringis fuzzy c-means. In the concept ofFuzzyC-Means firstdetermine the center of the cluster, which will mark the average location of each cluster which is then carried out the process of repairing the cluster center and the degree ofmembership of the point to theminimization of objective functions that describe the distance from the data points given to the center of the weighted cluster by the degree of membership of that point. From the results of testing a regional clustering systemthat deservesAdipura with the result that each cluster in each processgets avalue that is always changing, so it cannot determine the labeling of a patent. Data greatly influences the time for application processing. The more data it will take more time for the fastest time is in the Big City category while the longest application execution time is in small cities with a total data of 273.
Decision Support System for The Feasibility of Giving Customer Credit Using Topsis and Saw Methods (case Study): Save Loan Cooperative CV. the Source of Prosperous Life M Mahaputra Hidayat; Mas Nurul Hamidah; Ayu Nur
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v4i2.115

Abstract

Supporting System for Deciding the Feasibility of Providing Credit to Customers with Topsis Method andSimple Additive Weighting Method in CV. Sumber Hidup Prosperous, this research is motivated by the results of acustomer who must meet the criteria determined by the cooperative to be able to get credit. In this case cooperativesare required to be able to make decisions quickly and carefully. To realize this it is necessary to have a decisionsupport system (SPK) with the Topsis method and the Simple Additive Weighting method that can solve the problemof decision making with many criteria. The results obtained from this study are the application program of the DecisionSupport System for Providing Credit to the Customer with the Topsis Method and the Simple Additive WeightingMethod in CV. The Source of Prosperous Life. The conclusions of the results of this study have shown a value that isaccurate enough to help simplify the process of creditworthiness and report generation.
Development of Nutritional Fulfillment Funds for Pregnant Women Using Web-Based Sugeno Method Case Study: "NURANI" Maternity Clinic and Maternity Hospital Dita Mustika Anggraeni; Eko Prasetyo; M Mahaputra Hidayat
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v4i1.121

Abstract

The high rate of malnutrition in various regions and the increasing prevalence of obesity, especially in big cities, is a double burden of nutritional problems in Indonesia. Meanwhile, the utilization of health facilities by those lower classes people in particular is still low and the health service itself is far from optimal. Besides, the pregnant women are also reluctant to consult their nutrients experienced during pregnancy. From the above problems, an application which can help pregnant women in making nutritional decisions at the time of pregnancy without consulting to consult a doctor / nutritionist was finnally made, that is Sugeno Fuzzy method. This method can provide the right nutritional decisions for pregnant women. The purpose of this study is to assist and facilitate pregnant women in the fulfillment of nutrition during pregnancy. Input used in this study is BMI, age of pregnant woman and age of pregnancy. While the output of the end result of this application system is to provide decisions about the nutrients experienced by pregnant women, they are less nutrition, ideal nutrition and excessive or much nutrition. The results of the experiment gives the calculation; the error rate of 62 % and the accuracy of 38 %.
Co-Authors A, Sindi Hilda A.W, Satrio Cahyo Abdul Muhid Adam Ridwan Ahmad Arif Muzzani Akhmad Najmul Irfani Alifia Julianti Amanda, Putri Yulia Aris Fanani Armiyanti, Siti Astutik, Ambarwati Dwi Ayu Nur Bagus Ramdana Kurnia Aji Budi Utomo, Bintang Prasetyo Choirun, Alisya Akbar Damayanti, Berlian Aisya Deddy Gita A.P Dita Mustika Anggraeni Efendi, Achmad Taufik Eko Prasetyo Elta Deka Wilinda Fardanto Setyatama Fatoni, Khisbul Febrifyaning Tias, Rahmawati Genio Makaloe, Egyu Darell Gallager Herti Miawarni Herti Miawarni Herti Miawarni Herti Miawarni, Herti Irfani, Najmul Lutfia Febrianti Mas Nurul Hamidah Moch Alif Firmansyah Montolalu, Billy Mubarrok, Achmad Alfan Muchammad Faisal Aditya Mustofa, Aldi Nabila Amanda Putri Noer Firda Yuana Ridhawaty Putra Prima Putra Prima Arhandi, Putra Prima Putradira, Muhammad Rizki Putri Agustin Merditawati R Dimas Adityo Rahmawati Febrifyaning Tias Rangsang Purnama Ratna Nur Tiara Shanty Ridwan, Adam Rifki Fahrial Zainal Rizky Syahputra Setyawan Rizky Wahyu Prastyawan Sari, Selvi Novita Setijadi, Eko Sona Ahmad Susanto Surya Sumpeno Syafi'i, Syafi'i Syariful Alim Wiwiet Herulambang Yuana, Firdha Yuniar Farida Zacharia, Muhammad Ivan