Journal of Information System and Computer

MODEL RAPID APLICATION DEVELOPMENT PADA SISTEM INFORMASI AKUNTANSI PENGGAJIAN PT ADC

Jovina Puspita Dewi Wulandari — 2023-07-26

Arunika Digital Consulting (ADC) is a company in the startup phase of IT consulting covering various industries such as digital technology, digital printing, and consulting. The company manages employee salaries as a percentage of profits, which is then recorded by entering employee salary data into Ms. Excel. This system can cause many errors such as lack of time to manage employee payroll information and an ineffective employee payroll system to prepare the company to a greater level, so a facility is needed that can solve this, because with the computerized system it is expected to obtain information accurately, quickly and efficiently with time, Faster, more precise and accurate labor and costs and employee salary calculations. This research data was obtained using field research methods through observation, interviews and literature studies and for the development of this design software, researchers used the RAD (Rapid Application Development) method. The results of this study will provide information that with the implementation of the Payroll Information System, it can provide several positive things, namely, preparing a more efficient, fast, and accurate employee salary calculation for a wider level of the company. And test the process using User Aceptance Testing

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU TERBAIK DI MI QOMARUL HUDA BANARAN MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) BERBASIS WEB

Mu’adz Ibnu Ghofur — 2023-07-26

Pemilihan guru terbaik dialokasikan di MI Qomarul Huda Banaran yang beralamat di Desa Banaran RT/RW 04/01 Kecamatan Tembarak Kabupaten Temanggung yang berada di bawah naungan LP MA'ARIF Proses pemilihan guru terbaik di MI Qomarul Huda Banaran saat ini masih mengalami kendala, dimana sistem penilaian masih dihitung secara manual, penilaian masih subjektif dari sudut pandang Kepala Sekolah. Karena pada dasarnya masih banyak guru yang masih saudara di sekolah yang sama sehingga saat mengikuti penilaian tidak sesuai dengan tugas pokok dan fungsinya. Dan juga banyaknya jumlah guru yang ada juga membuat sulitnya mengambil keputusan dalam memilih guru terbaik sehingga prosesnya memakan waktu lama, pada akhirnya keputusan yang diambil dan dihasilkan kurang efektif dan kurang efisien. Tujuan dari penelitian ini adalah membuat aplikasi sistem pendukung keputusan pemilihan guru terbaik dengan menggunakan metode weighted product (WP) yang sesuai dengan kriteria yang telah ditentukan dalam pemilihan guru terbaik yang memenuhi persyaratan pemilihan guru terbaik. Metode Weighted Product (WP) adalah menentukan faktor kriteria sebagai manfaat atau biaya dengan cara mencari perkalian dari nilai kriteria alternatif terhadap bobot kriteria. Perancangan dilakukan dengan menggunakan diagram UML, kemudian diimplementasikan menggunakan bahasa pemrograman PHP yang didukung dengan MySql untuk pengolahan database. Kebutuhan informasi dilakukan dengan mengumpulkan data melalui observasi, studi literatur. Dengan adanya sistem ini diharapkan para guru akan termotivasi dan semangat untuk melaksanakan tugas dan tanggung jawabnya sesuai dengan undang-undang keguruan.

IMPLEMENTASI METODE PROTOTYPE PADA SISTEM INFORMASI DIGITAL ANGKRINGAN BERBASIS WEB DI KECAMATAN MAYONG

Indra Kurniawan — 2023-07-26

Information systems are designed to provide information that interacts systematically and regularly, to make it easier for information seekers to obtain the information they want. Branding can be used to introduce the company's brand and build a positive image and company reputation so that it is always good in the eyes of consumers. Research on Digital Information Systems for Angkringan in Mayong District was designed with the aim of adding and displaying a floor plan of the locations of the angkringan in the Mayong sub-district along with their menus and also the conditions of the surrounding scope so that it can make it easier for people to choose and find the location of the angkringan as desired. The prototype method is used in making this application with the stages: (1) Communication, (2) Quick Plan, Modeling and Quick Design, (3) Construction of Prototype, (4) Development, Delivery and Feedback. This method is proven to facilitate the creation of an angkringan digital information system. The prototype method can be used well in developing web-based angkringan applications in Mayong District. The angkringan digital information system in Mayong District can display angkringan lists, angkringan addresses, angkringan products, whatsapp links and angkringan google maps.

IMPLEMENTASI E-PKL PADA DINAS PERHUBUNGAN JEPARA

Aulya Shabrina Aisyane — 2023-07-26

Field Work Practice is a learning activity that aims to introduce and expand students' skills in the real world of work. One of the PKL places that opens opportunities for students to carry out tasks is the Jepara Transportation Office. The Transportation Agency is a regional government organizing body in the field of transportation. But unfortunately, until now the Jepara Transportation Office does not have a system that can facilitate students and management staff to manage these PKL activities. This results in many documents that range lost and not well documented. The PKL information system with criteria assessment using a Likert scale is a solution in the PKL management process for the better. This application is web-based so that all data is managed and stored properly. This system has gone through the black box testing stage with the results of all features, flows, and programs that are normal and in accordance with what was planned at the beginning. In addition, the percentage of feasibility from the results of testing through a questionnaire to 12 respondents (users) of the Jepara Transportation Office E-PKL system received a score of 90.5% which means it is very feasible to use.

ANALISIS POLA PEMBELIAN PRODUK PADA TOKO MADU MUKTI DENGAN ALGORITMA APRIORI

Saifu Rohman — 2023-07-26

Algoritma apriori adalah algoritma dari teknik Association Rules Mining (ARM) dan termasuk dalam bagian metode data mining untuk menentukan pola frekuensi tinggi. Dengan menggunakan algoritma apriori akan menghasilkan output kombinasi barang dimana jika nilai minimum confidence semakin besar maka hasil kombinasi barang akan semakin valid jika nilai supportsemakin tinggi maka seleksi kombinasi tiap itemset akan semakin spesifik.

SISTEM PAKAR DIAGNOSA PENYAKIT IKAN BERBASIS WEB MENGGUNAKAN METODE CERTAINTY FACTOR

Muhammad Khoirur Rozikin — 2023-07-26

In Jepara Regency, there are many fish sellers and breeders/cultivators. In the process of captive fish, usually fish cultivators will experience several problems, one of which is the emergence of disease in fish cultivated by fish cultivators. Prevention is a very effective step to minimize the risk of disease in farmed fish. If the fish are already diseased, the costs incurred for fish cultivation will increase due to the additional cost of fish treatment. Fish breeders need to know about fish diseases and how to treat them if the fish they farm are infected with diseases or pests. One of the efforts that can be done by fish breeders is by visiting fish disease experts (experts) which cannot be done continuously because it requires a lot of time, effort and money. From these problems, the author will create a website-based expert system for diagnosing fish diseases using the Certainty Factor method. With this application, it is hoped that it can assist fish breeders in dealing with diseases in protected fish, without having to visit an expert. In the author's research, testing was carried out based on 10 diagnostic samples, and calculated using k-fold cross validation, resulting in a system accuracy of 90%. Where the expert system that has been made by the author is considered feasible.

FEATURE SELECTION WITH FORWARD SELECTION IN THE K-NEAREST NEIGHBOR METHOD FOR STUDENT COUNSELING PREDICTION

Wildani Eko Nugroho — 2023-07-26

One of the most difficult issues to predict in schools is that of guidance and counseling. For individuals who have the authority to make decisions, accurate predictions are needed to support decision-making. KNN is one of the methods that can make predictions, especially for counseling guidance predictions. The KNN algorithm approach used to conduct tests and experiments on 388 student data obtained an accuracy of 96.40%. After optimization using feature selection with forward selection, the accuracy increased by 0.51%. The final result of the accuracy obtained after experiencing an increase in the level of accuracy value of 96.91% with the number of students who do not have to do counseling guidance is as many as 362 students, and 62 students must do counseling guidance.