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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Sucipto , Hadi
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Computer Science & IT

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 1 
RANCANG BANGUN SISTEM PENENTUAN STATUS GIZI BALITA DENGAN METODE K-MEANS Sucipto , Hadi; Faizah , Arbiati
Inovate Vol 4 No 1 (2019): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i1.769

Abstract

Malnutrition or also called malnutrition is still a problem in Indonesia, especially in the toddler agegroup. Lack of nutritional intake at an early age will have a negative impact on the growth anddevelopment of infants, which will further hamper some of the developmental processes of the toddler,such as learning to talk, walk, eat, and other activities. In this study the design of the nutritional statusdetermination system for toddlers is discussed using the K-Means method. The data will be groupedinto six clusters, namely baduta or under-fives, under-five or under-five, under-five or under-line(BGM), under-five or under-five, under-five or fat under-five, and under-five or under-five. By usingthe K-Means method, the data of children under five or under two years will be grouped into clustersthat have been determined. The results of this study are the design of a system for determining thenutritional status of children under five in the form of a clustering system for the nutritional status ofchildren with an effective level of valid data from the implementation of a design system fordetermining the status of a toddler with the K-Means Method is 77.3 percent.Keywords: Cluster, K-Means, Nutrition, Toddler .
Sistem Booking Jadwal Kursus Mengemudi Dengan Menggunakan Algoritma First Come First Serve (Studi Kasus Wiwit Kursus Mengemudi) Soleh , Rahmat; Sucipto , Hadi; Augusta Jannatul Firdaus , Reza
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.5085

Abstract

Schedule is the most important factor in supporting activities in various ways, especially in teaching and learning activities. In managing the driving course wiwit schedule it is done manually and recorded in a book based on an agreement between the admin and the students. This will cause problems if orders are made simultaneously there will be a conflict. The solution to these problems can be overcome by making a schedule booking system for driving courses. This research method uses the First Come First Serve algorithm to solve problems in the driving course schedule booking system. algorithm that has a characteristic which prioritizes processes that have been submitted in advance, namely those that arrive first will be served or processed first. The results of the research produce products in the form of web-based applications. The purpose of using this algorithm so that each processqueue executed fairly in the sense of sequentially without any priority. So that each process will run sequentially. From the results of this algorithm produces a sequence queue based on who has submitted first then it will get queue of front. Keywords : Booking System, Website, First Come First Serve.
SISTEM REKOMENDASI PEMILIHAN KANDIDAT CALON TENAGA KERJA MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS: SMK AL-MALIKUS SHOLEH) Huda , Nurul; Sucipto , Hadi
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6167

Abstract

Al-Malikus Sholeh Vocational High School recognizes the need to create a job candidate recommendation system that can connect applicants, partners, and administrators to facilitate the recruitment process for job candidates who are alumni of Al-Malikus Sholeh Vocational High School, partners as job suppliers, and administrators as intermediaries between applicants and partners in a system that will be developed. The decision support system is expected to greatly assist partners in selecting suitable human resources to fill vacant positions based on previous career planning. The profile matching method is used in the decision support system because it is easily understood and implemented, as it only relies on the compatibility between the candidate's profile and the ideal profile. This generates a list of candidates who closely match the ideal profile, making the selection process easier to identify the best candidate. The results of this study indicate that the Profile Matching method can be applied to evaluate and rank applicants, based on predetermined applicant data, job criteria, and subcriteria, before performing calculations. The testing results, both from manual calculations and calculations within the application system using the same input data, applicant data, criteria, and subcriteria, showed identical values and rankings. Therefore, the accuracy level of the calculations between manual and application system has the same results. Keywords: Decision Making System, Profile Matching, Alumni, Job Vacancies, Ranking.
IMPLEMENTASI METODE SINGLE MOVING AVERAGE DALAM MEMPREDIKSI PENDAPATAN TOKO GOLDEN COMP BERBASIS WEBSITE Ramadhani , Rizky; Sucipto , Hadi
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6384

Abstract

Golden Comp Store is a shop that provides laptop repair services, buying and selling laptops, and computer accessories. Due to the constant changes and developments in electronic products, there is a risk that the products sold by the store may become outdated or unpopular among customers in a short period of time, leading to a decline in revenue. To address this issue, forecasting is used to determine future income so that the store can make better business decisions. SMA (Single Moving Average) is used as a method for income forecasting, and the forecast results are evaluated using MFE (Mean Forecast Error), MAD (Mean Absolute Deviation), MSE (Mean Squared Error), and MAPE (Mean Absolute Percentage Error). This research utilizes income data from 2021 to 2022. The SMA forecasting results using a 3-period yield better forecasts compared to other forecasting periods. In the 3-period period, it shows an MFE of Rp. 2,042,789, MAD of Rp. 3,223,519, MSE of Rp. 18,256,864,943,827, and MAPE of 17.63%. Keywords: Forecasting, Income, Single Moving Average.
IMPLEMENTASI METODE APRIORI DALAM MENENTUKAN BIJI KOPI YANG PALING DIMINATI KONSUMEN PADA ROASTERY WARKOP LANGGANO Novita Sari , Luky; Sucipto , Hadi
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.7029

Abstract

The Warkop Langgano Roastery is one of them competing in the current food and beverage business. The purpose of this study was to find out the implementation of the Apriori Method in determining the most popular coffee beans at the Warkop Langgano Roastery. This research uses the Web-based Apriori method, and data collection through literature study is carried out by studying literature theories from books, journals, references related to this research to complete the data. The results of this study indicate that the implementation of the a priori method for determining the most desirable product can produce a suffix, namely association rules that can be carried out properly in the form of a Website with the PHP programming language and the Laravell Framework and using the MySQL database. Testing is calculated by means of calculations using the Apriori formula itself with a specified amount of Support and Confidence determined, in this study the final result of the association rules is to produce 50% Support and 100% Confidence for the sale of Robusta Dampit and Arabica Wonosalam, 33.3% Support and 80% for Robusta Dampit and Hoseblend, 66.6% Support and 80% Confidence for Robusta Wonosalam and Arabica Wonosalam, 66.6% Support and 80% Confidence for Robusta Wonosalam and Hoseblend 70/30%, as well as 83.3% Support and 100% Confidence for Arabica Wonosalam and Hoseblend 70/30% with calculations using the a priori formula. Keywords:The Apriori Method, Coffee Beans, Roastery
SISTEM INFORMASI INDEKS KEPUASAN MASYARAKAT TERHADAP PELAYANAN KANTOR DESA KEPATIHAN MENGGUNAKAN METODE WEIGHTED AVERAGE Harist Pambudi , Wiradhika; Sucipto , Hadi
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.7030

Abstract

Thel Kelpatihan Villagel Olfficel is a golvelrnmelnt agelncy that has thel task olf selrving thel colmmunity in polpulation mattelrs, administering correspondence and also important deeds for the community. Colmmunity satisfactioln is velry impolrtant folr thel succelss olf selrvicels frolm an agelncy belcausel it can bel useld tol elvaluatel whelthelr thel selrvicels prolvideld arel golold olr nolt. In this study, thel autholrs delsigneld and built an applicatioln folr asselssing a welb-baseld colmmunity satisfactioln indelx survely that was useld tol deltelrminel thel colmmunity satisfactioln indelx folr thel selrvicels prolvideld in Kelpatihan Villagel. This applicatioln was built using thel welighteld avelragel valuel calculatioln melthold in prolcelssing ellelmelnts olf asselssmelnt baseld oln survely relsults. Thel relsults sholweld that thel relspolnsel frolm relspolndelnts tol thel Selrvicel Satisfactioln olf thel Kelpatihan Villagel Olfficel was includeld in thel velry golold catelgolry, belcausel it olbtaineld a scolrel olf 85.7. Thel satisfactioln indelx indicatolr folr thel Kelpatihan Villagel Olfficel Selrvicel, which is thel highelst indicatolr, is Prolduct Spelcificatioln Typel olf Selrvicel with a scolrel olf 3.6 olr thel Velry Golold catelgolry. Thel lolwelst Kelpatihan Villagel Officel selrvicel satisfactioln indelx is thel Selrvicel Speleld indicatolr with a valuel olf 3.36. Keywords: Community Satisfaction Index, Public Service, Weighted Average, Website
IMPLEMENTASI METODE FUZZY TIME SERIES CHEN UNTUK PERAMALAN JUMLAH PENGUNJUNG MUSEUM Ni’matul Azizah, Alfin; Sucipto , Hadi; Ali , Mahrus
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8866

Abstract

Forecasting or prediction is a technique utilize to anticipate future indefiniteness in an attempt to make more effective judgement. Fuzzy Time Series is the latest approach in preparation brilliance that is utilize to predict propositions by translating annals data into linguistic values ​​and producing more precise predictions. This research discusses the fuzzy time series system developed by Chen (1996) to predict the number of visitors to the Indonesian Islamic Museum Hasyim Asy'ari Tebuireng Jombang (MINHA) in July 2024. In fuzzy time series, the extensive of the interval greatly influences the predictions results. The system for quotation the extensive of the interval used in this study uses Sturges' rule, predicting the number of visitors to the MINHA museum based on data for June 2022 - April 2024, the forecast results for May were 1390,583 with a MAPE value of 21.27, while the forecast for June produced a forecast of 17,204,417 months. July produced forecasts of 14566.15 with a MAPE value of 24.77 which was included in the feasible forecasting category. Keywords: Forecasting, Fuzzy Time Series, Chen , Number of visitor
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENGAJUAN PINJAMAN UANG DI BMT MU’AMALAH SYARI’AH TEBUIRENG Listanto, Firgiawan; Lazulfa, Indana; Andriani, Anita; Sucipto , Hadi
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8872

Abstract

Technological developments have had a significant impact on the banking industry, especially in facilitating access to information and financial services. This research implements the K-Nearest Neighbor algorithm for classification of loan applications at BMT Mu'amalah Syari'ah Tebuireng. This research focuses on efficiency and accuracy in the loan application evaluation process which was previously carried out manually. The data used includes customer information collected through interviews and observations. After going through the data preprocessing and normalization stages, the K-NN algorithm is applied to classify loan applications based on parameters such as age, employment, monthly income, dependents, collateral, residence, and credit status. The implementation of this algorithm has been proven to be able to speed up the evaluation process and reduce the risk of errors in decision making, thereby providing significant benefits in improving service quality and operational efficiency at BMT Mu'amalah Syari'ah Tebuireng. Keywords: K-Nearest Neighbor, Classification, Loan Application, BMT Mu’amalah Syari’ah Tebuireng
EFISIENSI JALUR PENGIRIMAN KURIR PAKET DENGAN MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATION Fitra Rahman, Rizki; Sucipto , Hadi; Mufarrihah , Iftitaahul; Ali , Mahrus
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8893

Abstract

This research explores the use of Ant Colony Optimization (ACO) algorithm to optimize package delivery routes in the courier industry. With the increasing popularity of online shopping, delivery efficiency is becoming increasingly crucial. The ACO algorithm was chosen for its ability to solve the Traveling Salesman Problem (TSP) by finding the shortest route connecting multiple points. The research data was collected through interviews with couriers and analysis of the delivery route, which includes the coordinates of the package recipient to calculate the distance between points using MapBox. The results showed that the ACO algorithm was able to generate routes with shorter total distances compared to conventional methods. However, implementation in the field requires consideration of other factors such as the availability of package recipients, delivery demand at certain hours, and variations in delivery locations. This finding underscores the importance of considering various additional factors for the effective implementation of this method. The implementation of a web-based system that records the coordinates of the recipient and suggests efficient paths is proposed to improve delivery efficiency. Keywords: Ant Colony Optimization, Package delivery route, Traveling Salesman Problem
Co-Authors Ali , Mahrus ANITA ANDRIANI, ANITA Augusta Jannatul Firdaus , Reza Faizah , Arbiati Fitra Rahman, Rizki Harist Pambudi , Wiradhika Huda , Nurul Indana Lazulfa, Indana Listanto, Firgiawan Mufarrihah , Iftitaahul Ni’matul Azizah, Alfin Novita Sari , Luky Ramadhani , Rizky Soleh , Rahmat