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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Ilmiah Sinus Square : Journal of Mathematics and Mathematics Education Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)

Muhammad Hasbi

STMIK Sinar Nusantara

Author-ID : 3669508

Computer Science & IT Education Engineering Mathematics

Published : 18 Documents Claim Missing Document

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Pemetaan Terhadap Penyebaran Unit Cabang Kantor Pos Di Kabupaten Wonogiri Pamungkas Bayu Aji; Muhammad Hasbi; Didik Nugroho
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 10, No 1 (2022): Jurnal TiKomSiN, Vol. 10, No. 1, April 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v10i1.605

The Post Office is one of the public facilities for the community because it serves service facilities in the form of postal services, package delivery, logistics and reliable financial services. However, the lack of information makes access to the location of post office services not informed of the location distribution. The purpose of this research is to create a mapping application for branch post office units to make it easier for the general public to get information about the nearest post office unit, using the K-Means Clustering Method. Users can choose which post office unit they want to choose based on their criteria. In functional testing (Blackbox) it was found that the system had been running according to the system design plan that had been made previously, while the validity test using the Silhouette Coefficient method showed the average value for cluster 1 was 0.282674, cluster 2 was 0.297377, and cluster 3 is 0.423516, which means the object is in a good or appropriate group because the Silhouette Coefficient value in each cluster is closer to 1, which means the better the grouping of data in one cluster.Keywords : K-Means Clustering, Post Office, Silhouette Coefficient

Pencarian Data Barang Produk Atribut Sekolah Menggunakan Algoritma Binary Search Risma Dara Awal Aviantika; Kustanto Kustanto; Muhammad Hasbi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.546

Technology and information that is growing and sophisticated must be balanced according to the needs. For it was made the application of binary algorithms for the search data goods production of school attributes. Many methods in search with the goal of making it easier to search, e.g. search data of production items of school attributes with binary search method. Convection in the search of production goods using the manual way by looking for the archive data written in the notebook, the purpose of this research is to create a data retrieval system of goods that will be applied as a data retrieval tool of goods, as well as change the system manual to the computing system. In this research using Binary Search algorithm. Binary search algorithm is a technique applied only on the sorted element (sorted). This research using method of binary search algorithm with analysis stage, system design, coding/construction, testing, and implementation. In the analysis stage, the collection of data conducted is observation and literature study. At the system design stage using Unified Modelling Language (UML) include the use case diagram, activity diagram, Sequence diagram, and Diagram class. At the construction stage using the Java programming language using Netbeans and MySQL Server tools while the implementation of this system is the application of data retrieval of goods. To know the eligibility of a system, it is necessary to test against the search time of 210 data each time duration, 0.0004 seconds, 0.0005 seconds, 0.0006 seconds, 0.0007 seconds, 0.0008 seconds, 0.0009 seconds, 0.0010 seconds, 0.0012 seconds, 0.0014 seconds, 0.00117 seconds. The final result of this study is the application of search for production goods with Binary Search Algorithm Method.

SISTEM PAKAR DIAGNOSA PENYAKIT SALURAN PERNAFASAN DENGAN METODE FUZZY TSUKAMOTO Dhevi Dadi Kusumaningtyas; Muhammad Hasbi; Hendro Wijayanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 2 (2019): Jurnal TiKomSiN, Vol.7, No. 2, 2019
Publisher : STMIK Sinar Nusantara

Respiratory diseases are one of the most common diseases in Indonesia. Respiratory diseases increase the risk of fatal if not treated immediately. However, it is unfortunate that knowledge about the risk of respiratory disease is still lacking. The search method used in making this expert system is forward chaining with binary tree structure. Namely doing the processing of a set of data, then conducted inference in accordance with the rules applied to find the optimal conclusion. Experts provide rules for determining symptoms and illness. While the calculation and ranking of diseases that may suffer patients using the method fuzzy tsukamoto to provide the results of calculations that are certain based on the parameters. Then the patient's diagnostic process is done by the system. The Diagnostic Expert System for Respiratory Disease has been successfully established and can be used to assist in estimating the illness suffered by the patient as the result of the developed system is not much different from the running system. Based on the comparison of disease diagnosis result in expert system with manual system then the system accuracy level is 90,9%. Based on the website view has the largest percentage of 71.42 in good description, for user friendly / ease of respiratory system experts get the largest percentage of 85.71 in good information, to assist in the process of disease information and treatment get the largest percentage of 57.14 in a good description, to help the diagnosis process becomes easier to get the largest percentage of 71.42 in good information, for this expert system provides information on respiratory disease treatment accurately get the largest percentage of 57.14 in either.

PEMILIHAN SEKOLAH TERBAIK DENGAN MENGGUNAKAN METODE K-NEAREST NEIGHBORS DAN TAXONOMIC MATCHER Bidari Ayu Lestari; Muhammad Hasbi; Teguh Susyanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 6, No 2 (2018): Jurnal TIKomSiN
Publisher : STMIK Sinar Nusantara

The accuracy of choosing the right school is what every prospective student and parent wants. But in making the decision to choose the right school is not easy to do, because many aspects that are not simple must be taken into account. Mistakes in making decisions for prospective students must risk the loss of opportunities. Calculations in choosing a prospective student must be able to measure rationally the level of ability themselves with the quality of the school to be chosen. The quality of the school is determined based on the school's favorite level, the value of school accreditation, facilities owned, and achievements that have been achieved by the destination school. The purpose of this study was to apply the K-Nearest Neighbors (KNN) and Taxonomic Matcher methods to the creation of a system for selecting schools. The results of the development of the school selection application have been running in accordance with its functions and the results of the user acceptance test have been approved because it has a higher value than the answer agreed on the Likert scale which is 4.188571 on a scale of 1-5.Keywords: K-Nearest Neighbors (KNN), Taxonomic Matcher, Choosing a School

OPTIMASI STOK AYAM POTONG MENGGUNAKAN METODE FUZZY TSUKAMOTO DI RUMAH MAKAN BOYOLALI Helfa Renita Berlian; Muhammad Hasbi; Kustanto Kustanto
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 1 (2020): Jurnal TiKomSiN, Vol.8, No. 1, 2020
Publisher : STMIK Sinar Nusantara

A developing business must have a goal so that activities in a business can be directed. So that the business can achieve these goals, it is necessary to have a careful plan to determine the production of products that are made to meet market needs. Therefore, this study aims to determine the optimization of the stock chicken stock application system at Boyolali Restaurant using the Fuzzy Tsukamoto method based on sales data and restaurant needs. Boyolali Restaurant also has a disadvantage, namely controlling stock of chicken that is still not suitable and not optimal for each day due to the number of requests that continue to vary each day The number of products produced is something that influences competition in the business world. The type of data consists of Primary Data, There are 2 kinds of primary data that the authors do, namely: Observation Method, Interview Method and Secondary Data in the form of Library Studies. Data Analysis with system analysis using the Flowchart system, input output design and system testing. The results of this study are making web applications with the PHP programming language with a MySQL database. The test carried out is the validity test by comparing the data of real chicken orders and the chicken chicken order data from the results of fuzzy calculations from the application is valid. Comparison with the difference between real data and fuzzy calculation results with the highest difference order 347 pieces of chicken stock and the lowest difference of 3 pieces of chicken stock with an average difference in stock orders is 70 stocks of chicken pieces. Comparison of real order data with fuzzy results has an accuracy above 70% with an average accuracy of 93%.

Sistem Pendukung Keputusan Pengadopsian Anak Menggunakan Metode Analytical Hierarchy Process Dan Metode Perbandingan Eksponensial Ajeng Dhanty Yoshima; Dwi Remawati; Muhammad Hasbi
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 9, No 1 (2021): Jurnal TIKomSiN, Vol.9, No. 1, 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v9i1.544

YPAB is an institution that keeps and takes care babies and children who don’t have parents. The babies and the children can be adopted, but the institution has their own regulations for potential adopters who want to adopt children. All this time, adopter who adopted the babies or the children from YPAB institution is done manually which need long time. Therefore, DSS is needed for decide a potential adopter. The purpose of this research is developing a DSS in the process of selecting potential adopters. Meanwhile, the research method uses the Analytical Hierarchy Process (AHP) and the Exponential Comparison Method (MPE) and the System testing uses black-box and validity testing. System testing is used black-box and validity testing by comparing the real YPAB data and the calculation system results. The test results show that the adoption system using the Analytical Hierarchy Process (AHP) method and the Exponential Comparison Method (MPE) has a good performance so that the system is feasible to be implemented in YPAB.

Rekomendasi Tempat Wisata Di Kabupaten Grobogan Laodikia Galih Krisna Perbawa; Muhammad Hasbi; Bebas Widada
Jurnal Ilmiah SINUS Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i2.560

Geografis Information System (SIG) is a computer system used to manipulate geographic data. The system is implemented with computer hardware and software that serves to init and verify data, data compilation, data storage, data changes and updates, data management and exchange, data manipulation, data calling and presentation and data analysis.In Grobogan Regency itself there are still many tourist locations that are not known to the public, especially tourists outside the area. The number of tourist attractions in Grobogan Regency itself is approximately 21 places, both natural tourism such as Waterfalls, Sendang, Goa.Religious tourism such as Tombs or artificial tourism such as swimming pools and reservoirs.Because of the time and information, people find it difficult to know the point of location and also information from the tours located in Grobogan Regency. In this Thesis Study use the Haversine Formula Method. With analysis, system design, coding/construction, testing, and implementation. At the analysis stage, the collection of data is observation and literature studies. While the data source obtained in the form of primary data and secondary data. At the design stage of the system using Unified Modelling Language (UML) include use case diagrams, activity diagrams, sequence diagrams, and class diagrams. At the construction stage use google maps API, PHP and MySQL programming languages. And at the testing stage using the Blackbox technique. While the implementation of this system can be used on desktop devices. By using the search for the nearest route and can recommend it from a radius of 20 km.The expected result of this study is that the app can recommend tourist attractions based on distance and also include tourist information located in Grobogan, so that tourists can easily access the tourist attractions they want to go to.

Sistem Pendukung Keputusan Pemilihan Admin Terbaik Menggunakan Metode Simple Additive Weighting Di Kantor CV Sragen Pribadi Abthal; Muhammad Hasbi; Kumaratih Sandradewi
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.585

This company always works hard to be at the forefront with modern service standards supported by professional Human Resources. Human Resource Management greatly affects employee dedication and performance. In this regard, the Company has not been able to optimize, especially in determining the best administrator (Admin). This is due to the absence of media that can process the best admin's judgment in the office. For this reason, it is necessary to apply the best admin support system using the Simple Additive Weighting (SAW) method. The definition of the Simple Additive Weighting (SAW) method is often also known as the weighted addition method. The basic concept of SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. The purpose of this research is to find out the best admin every month, seen from the accuracy of work attendance, cooperation, discipline, and order. After the data was collected, HRDs can immediately use the calculation application using SAW method to determine the best admin. The test results obtained data that the best admin in CV office is A1 which has a value of 0.94.

Seleksi Penerima Bantuan Pangan Non Tunai di Desa Menggunakan Metode Naïve Bayes dan Simple Additive Weighting Nurul Huda; Muhammad Hasbi; Teguh Susyanto
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.525

Poverty is one of the problems experienced by some developing countries, including Indonesia. There are many ways to mitigate poverty, for example, Indonesian government policy overcome this situation by Non-Cash Food Aid Program (BPNT). The electoral candidate for BPNT in the rural area is carried out by Poverty Reduction Team (SATGASKIN). To avoid uneven and untargeted assistance with the process, a system is capable for addressing the matter. The selection methods in this research were Naive Bayes and Simple additive weighting. The purpose of this research was to design and build an application that provided convenience to SATGASKIN in determining the eligibility of prospective beneficiaries and prioritizing beneficiaries. As a result of the study, the system can be used by SATGASKIN to help determining the recipients’ eligibility with 85% accuracy value, 85.71% Precision, and 92.31% Recall. Naive Bayes and Simple Additive Weighting (SAW) methods reached 100% according to the results by manual calculations.

KLASIFIKASI JENIS JAHE BERDASARKAN CIRI STATISTIK ORDE SATU DARI WARNA RIMPANG Riris Novitasari; paulus harsadi; muhammad hasbi
Jurnal Informatika Upgris Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.10012

Jahe merupakan tanaman rimpang yang memiliki banyak manfaat, seperti bumbu masak, jamu, obat herbal, dan lain-lain. Rimpang jahe memiliki fungsi yang berbeda-beda, tergantung jenisnya (Jahe Sunti, Jahe Kombongan, dan Jahe Merah). Identifikasi jenis jahe dapat dilakukan oleh manusia dengan mudah mengingat jenis jahe yang sedikit. Namun, identifikasi oleh manusia cenderung tidak konsisten dan belum tentu memberikan hasil yang akurat. Oleh karena itu, tujuan dari penelitian ini adalah untuk membuat suatu sistem yang dapat mengklasifikasikan jenis jahe secara akurat. Metode penelitian yang digunakan adalah K-Nearest Neighbor (K-NN) dan ekstraksi ciri statistik orde pertama (mean, variance, skewness, kurtosis, dan entropy). Sedangkan pengujian sistem menggunakan metode Black-Box untuk menguji fungsionalitas dan metode Confusion Matrix untuk menguji akurasi. Hasil pengujian menunjukkan bahwa sistem klasifikasi jenis jahe berdasarkan karakteristik statistik orde satu warna rimpang menggunakan metode K-Nearest Neighbor (K-NN) memiliki performansi yang baik dengan akurasi 80%.

Co-Authors Ajeng Dhanty Yoshima Andika Ardiansyah Bayu Tristanto Bebas Widada Bidari Ayu Lestari Didik Nugroho Dimas Febriyan Priambodo Dwi Remawati Fadlilah Izzatus Sabila Ghiffari Adhe Permana Helfa Renita Berlian Hendro Wijayanto Kumaratih Sandradewi Kustanto Kustanto kustanto kustanto Kusumaningtyas, Dhevi Dadi Laodikia Galih Krisna Perbawa Mahar Surya Malacca Muhammad Muchlasin Naufal Hafiz Nurul Huda Obrina Candra Briliyant Pamungkas Bayu Aji paulus harsadi Pribadi Abthal Rahmat Purwoko Retno Tri Vulandari Rio Handika Riris Novitasari Risma Dara Awal Aviantika Saptomo, Wawan Laksito Yuly Sri Siswanti Teguh Susyanto Yusuf Bambang Setiadji

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