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Sistem Pengendalian Operasional Kegiatan Dinas PU Bina Marga dan Cipta Karya Provinsi Jawa Tengah Cahyono, Yudi; Cholil, Saifur Rohman; ., Khoirudin
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 1 (2024): Januari 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i1.1100

Abstract

The Department of Public Works (PU) Bina Marga and Cipta Karya is a government agency responsible for supervising, planning and implementing the construction, maintenance and development of land transportation and housing infrastructure in the Central Java Province region. Currently, the Central Java Province Department of Public Works for Highways and Human Settlements has not utilized a web-based system to support the management of Activity Operational Control (POK). POK reporting that is still done manually will require a long time and process which will result in errors and delays in reporting. So, having a web-based computerized system can speed up the reporting process and management of POK. The Rapid Application Development (RAD) method is used to develop the POK System. The tools used are Unified Modeling Language (UML) as a means of designing POK systems. and The research results show that the use of RAD allows faster system development compared to other methods. Overall, the system that has been developed can increase ease of use and support acceleration in managing POK.
Sistem Pendukung Keputusan Kawasan Kumuh Kota Semarang Menggunakan Metode Copras Dengan Data Vitalitas Non Ekonomi Sebagai Data Kriteria Cholil, Saifur Rohman; Prayoga, Yudi; Cahyono, Yudi; Susanto, Susanto
Jurnal Ilmiah Informatika Vol. 8 No. 2 (2023): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v8i2.112-123

Abstract

Semarang City is the capital of Central Java Province which has a location in the middle of the province. Its strategic location is on the route across the North Coast of Java Island which connects major cities on Java Island. The high population in the city center requires the fulfillment of the need for livable housing, especially to accommodate urbanists whose jobs are concentrated in the trade and service sectors in the commercial area in the city center. The availability of complete facilities and infrastructure in the city center is also an attraction for people to live in the area. With the income level and economy of the community less so high, without realizing it, the need for livable settlements is difficult to accommodate. This study aims to build a decision support system (DSS) for the determination of Slum Areas in Semarang City using the COPRAS method. The COPRAS method has a good degree of selectivity because it can determine the purpose of conflicting criteria. System implementation is done using PHP language and MySQL database. The SPK that was built was able to produce recommendations by providing the ranking of slum areas to users.
APLIKASI PENYEWAAN PERALATAN CAMPING DAN HIKING PADA PANDANARAN OUTDOOR BERBASIS WEB Susanto, Susanto; Anggraini, Lila; Kurniawan, Nurdin; Cahyono, Yudi
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 1 (2024): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i1.830

Abstract

Pandanaran outdoor is one of the rental service companies or rental of camping and hiking equipment. However, the lack of use of technology in the process of renting equipment and conveying information about what equipment can be rented on a particular day makes it difficult for customers to carry out the rental process. Pandanaran Outdoor itself still uses manual recording in its rental process. With the advancement of technology and on the basis of the need for transaction management, data management, and information delivery, it is necessary to create a web-based camping and hiking equipment rental application at Pandanaran Outdoor, this website is designed using CodeIgniter, PHP, Visualcode, Bootstrap, Javascript, and MySQL Database. The system method used in this research is the waterfall method, the results obtained are used to describe the sequence of software development processes as a cycle in the flow of making rental applications. The presence of this application is expected to speed up and simplify the process of renting camping and hiking equipment at Pandanaran Outdoor.
Perbandingan Metode ARAS dan MOORA dalam Seleksi Penerimaan Pegawai Baru Non ASN Susanto, Susanto; Ningrum, Setya; Cahyono, Yudi
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 3 (2024): Maret 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i3.7449

Abstract

The acceptance of new non-ASN candidates is a major problem in recruiting new employees, this happens because of the large number of new prospective employees who register and the number of vacancies that are inadequate, therefore research is carried out that aims to create a decision support system that can speed up the process of recruiting candidates. new employee. The methods used in this research are ARAS (Additive Ratio Assessment) and MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) methods. The selection of this method is able to filter out the most alternatives based on weighting and this method is able to choose goals based on different criteria, namely benefits and costs. The results obtained from the ARAS method are the calculation rankings from the comparison of alternative utility functions with the optimal utility function values, while the results obtained from the MOORA method are the calculation rankings of the maximum and minimum values. From this value, an alternative that meets the criteria through calculations using the ARAS and MOORA methods, the employee alternative chosen is Yuniar Pilakso Angkasa with a final result of 0.935 for the ARAS method and 0.163 for the MOORA method. The results of the Spearman Rank coefficient test obtained a value of 0.9357% for the ARAS method and 0.7428% for the MOORA method, meaning that the two methods have a strong correlation level and can be used in recruiting new non ASN employees.
Implementasi E-Marketing Berbasis Web Pada UD Semeru Jati: Implementasi E-Marketing Berbasis Web Pada UD Semeru Jati Yurista Kumkamdhani, Tirta; Cahyono, Yudi; Ardiyanto, Ilham; Susanto, Susanto
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 2 (2024): Agustus 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i2.9610

Abstract

Sebuah perusahaan dagang bernama UD Semeru Jati memproduksi dan menjual kerajinan kayu dan mebel. dimana kayu jati asli Blora adalah jenis kayu yang digunakan. UD Semeru Jati pada awalnya mengandalkan pemasaran manual untuk model penjualan produknya atau melakukan penjualan langsung antara penjual dan pembeli. Sistem jual beli dioperasikan dengan cara yang lebih realistis saat ini. Penjual dan pembeli tidak perlu berinteraksi secara langsung, melainkan dengan sistem pemasaran ini, pembelian dan penjualan produk dapat dilakukan secara online dan pelanggan dapat menerima informasi dari sumber yang lebih luas, yang diantisipasi untuk meningkatkan penjualan barang-barang terkait furnitur. Sistem e-marketing berbasis web ini dikembangkan dengan memanfaatkan metode prototype, bahasa pemrograman PHP, database MySQL, CMS dan Visual Code sebagai text editor. User (pelanggan) merupakan fungsi prioritas utama dari sistem e-marketing ini. Setiap pengguna dapat melihat berbagai jenis produk yang ada di website dan juga dapat memesan dan melakukan pembayaran melalui transfer bank atau payment gateway. Seorang administrator yang dapat menangani data, mengawasi pesanan produk, mencetak laporan, dan mengawasi pembayaran adalah pilihan sekunder.
Prediksi Lama Masa Tunggu Alumni USM dalam Mendapatkan Pekerjaan dengan Algoritma KNN Cholil, Saifur Rohman; Vydia, Vensy; Susanto, Susanto; Cahyono, Yudi
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 9, No 2 (2024): November 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcit.v9i2.20705

Abstract

Pencarian informasi alumni perguruan tinggi dilakukan supaya dapat menentukan seberapa lama masa yang dibutuhkan agar mendapatkan pekerjaan. Dalam tahap peningkatan mutu sebuah perguruan tinggi, alumni mengambil peran penting, sebab kualitas pembelajaran pada perguruan tinggi dapat dikatakan sudah cukup baik apabila alumninya cepat terserap didalam dunia kerja. Pencarian informasi (tracer study) diperoleh melalui kuesioner yang dibagikan oleh pihak USM Career and graduated Class (UCAC) kepada para alumni. Informasi tersebut terdiri dari data-data para alumni pada tahun 2019-2020 dan kemudian digunakan untuk mendapatkan dan memperkirakan lama waktu tunggu yang dibutuhkan para lulusan USM hingga memperoleh pekerjaan setelah dinyatakan lulus studi sarjana. Algoritma KNN digunakan dalam penelitian ini, hal tersebut dikarenakan metode KNN mampu memprediksi masa tunggu alumni dibandingkan dengan metode lainnya. Adapun kompetensi yang berdampak terhadap masa tunggu alumni dalam mendapatkan pekerjaan dapat diperoleh melalui hasil analisis penelitian ini, seperti keterampilan dalam menggunakan komputer, manajemen pengolahan waktu, kemampuan dalam menganalisis, serta disiplin ilmu. Hasil implementasi algoritma KNN dengan mencoba nilai K dari 1-100 yang memiliki akurasi tertinggi mencapai 98,84%. A search for information on university alumni was carried out in order to determine how long it would take to get a job. In the stage of progress in the quality of a university, alumni play an important role, because the quality of learning at a university can be said to be quite good if the alumni are quickly absorbed into the world of work. The search (tracer study) was obtained through a questionnaire distributed by the USM Career and Graduate Class (UCAC) to alumni. This information consists of data from alumni in 2019-2020 and is then used to obtain examples of the length of time to employment needed for USM graduates to get a job after graduating from undergraduate studies. The KNN algorithm was used in this research, this is because the KNN method is able to predict the time to employment for alumni compared to other methods. Competencies that have an impact on the time to employment for alumni to get a job can be obtained through the results of this research analysis, such as skills in using computers, time management, analytical skills, and scientific discipline. The results of implementing the KNN algorithm by trying K values from 1-100 have the highest accuracy reaching 98.84%.