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INFOKOM
Published by Sekolah Tinggi Ilmu Komputer Poltek Cirebo
ISSN : 19786433     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah INFOKOM STIKOM Poltek Cirebon diterbitkan oleh Sekolah Tinggi Ilmu Komputer Poltek Cirebon. Redaksi mengundang para dosen, peneliti dan profesional dari dunia industri dan kerja untuk menulis tulisan ilmiah dan pengalaman praktis-nya di lapangan terkait implementasi Informatika dan Komputer serta bidang terkait lainnya. Jurnal INFOKOM ini terbit dua kali dalam setahun, yaitu bulan Agustus dan Februari. Fokus utama jurnal INFOKOM pada Data Mining, Software Engineering, Internet of Things (IoT), Artificial Intellegence (AI), Machine Learning, Decision Support System, Expert System, Big Data, Information System dan lainnya yang relevan terhadap perkembangan dunia teknologi informasi.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 113 Documents
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Metode Analityc Hierarchy Process Dan Promethee Untuk Merekomendasikan Pemilihan Perguruan Tinggi Cirebon Yuhano; Nurokman
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

In determining Cirebon tertiary institutions at SMAN 1 Lemahabang. The selection process is carried out by comparing alternatives in each tertiary institution based on predetermined criteria. The number of criteria that must be assessed at each tertiary institution made it difficult for the selection team. Furthermore, many problems arise due to frequent changing assessments. The combination of the Analytical Hierarchy Process (AHP) method and Preference Ranking Organization Method for Enrichment Evaluation (Promethee) was carried out because these two methods are able to solve problems with many criteria. The criteria used are assessment data from guidance and counseling teachers in tertiary institutions, namely campus accreditation, number of lecturers, tuition fees, departments and campus facilities. The result is that IAIN Syekh Nurjati can be recommended by universities in Cirebon for students to continue their education, because it is different from other universities and has a value of 0.263; Gunung Djati Swadaya University (Unswagati) is recommended by private universities (PTS) in Cirebon as the choice of students in continuing to higher education in the field of education with a score of 0.184; and STIKOM Cirebon Poltek recommended PTS in Cirebon as the choice of students in continuing to higher education in the field of information technology-based campuses with a value of 0.080 greater than the others
Implementasi Algoritma Frequent Pattern-Growth Pola Pembelian Pada Koperasi Kartika Jati Manunggal Faisal Akbar; Qori Khoirun Nisa; Kosim
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Companies have realized how important it is to have a database to face business competition, namely a database system that is reliable and integrated with all parts of the company. One of the data that plays an important role in supporting product analysis, namely customer purchasing patterns. Customer purchasing patterns are important to be able to know the relationship between one product and another. If this pattern has been formed and known, it will greatly help business managers to maintain stocks of goods that are selling well so that they remain available and not empty which can result in the company losing sales opportunities. Transaction data becomes an object to be processed using data mining applications. The data mining method used is association rule mining to find patterns of interrelationships between items, while the algorithm used is the Frequent Pattern Growth (FP-Growth) algorithm. This algorithm applies a tree data structure to determine purchase patterns. The pattern is determined by two parameters, namely support and confidence. The result is a support value obtained of 25% and a confidence value of 100% if the consumer has Pulpy orange 300 ml, the consumer will buy Hydro coco ori. In addition, the support value is 17% and the confidence value is 100% if consumers buy other drinks. The application of the FP-Growth algorithm can help determine what products must be available and assist in managing stock items
Implementasi Metode Content-Based Filtering Berbasis Android Untuk Memberikan Rekomendasi Menu Minuman kosim; Reza Prihandi
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Overchoice is a cognitive disorder in which people have difficulty making decisions when faced with many choices that make the problem in this study. This overchoice phenomenon often occurs in choosing drinks in cafes and restaurants. The purpose of this research is to create a Recommendation System (RS) to assist in choosing the drink you want to order. Making a non-personalized hospital at the Mubtada Kopi cafe uses the best rated approach and the content-based filtering method. The content-based filtering method tries to retrieve user preferences explicitly, that is asking the user to choose the preferences the user wants from the six content that has been made before then calculating the match between the user's preferences and the six contents in each item using the dot matrix formula. The results will be converted into a rating to match the best rated hospital approach which is made on a non-personalized basis. This rating indicates a match between the user's preferences and the items on the Mubtada Kopi menu list. The higher the rating, the better it matches the user's preferences. The order recommended by RS with the Content-based filtering method is rosella tea, chocolate, lemon tea, blossom tea, and spice tea
Implementasi Simple Multi Attribute Rating Technique Untuk Menentukan Lokasi Usaha Waralaba Ilman Kadori; Abdul Rasyid; Faisal Akbar
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Groceries shops, rice stalls, cake shops, shoe shops and mini markets are various types of businesses built by entrepreneurs. Franchise minimarkets are a case study taken in this research because business competition is becoming increasingly fierce and competitive. The lack of experience and knowledge of entrepreneurs, the number of competitors, business support, crowd centers, population density, parking lots, community income and road access and the difficulty of determining the right business location are the causes of the business not developing. One of the successes of a franchise business is influenced by the accuracy in choosing a business location. A strategic business location will determine the number of consumers and profits that have the potential to increase. The method used in this decision support system is the Simple Multi Attribute Rating Technique (SMART), which is a multi-attribute decision-making method. SMART is a comprehensive decision-making model taking into account qualitative and quantitative matters. In this SMART decision-making model, it basically tries to cover every shortcoming of the previous non-computerized models.
Algoritma AES128-CBC untuk Enkripsi dan Deskripsi Berkas Dokumen PT. XYZ Yalson Cahaya Pratama; Faisal Akbar; Wahyu Ariandi
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Data and information security transport system is an important thing for prevent information leak and fallen to unaccountable person. Method for securing that, is such as watermaking, steganography, cryptography, and digital signature. As company, PT. XYZ has very important data for secured, because they had data conceded in form of document file such as spreadsheet as that file has changed from mischiveous worker so that data file is not matched with per periode report from IT Staff there. File security system that used is AES128-CBC, that means Adcanced Encryption Standard algorithm with 128 bit length key, with cipher block mode Cipher Block Chaining. AES128-CBC is a cipher block mode for AES in between other modes such as ECB, OFB, CFB, CTR, and XTS. Encrypting process on AES-CBC starting from CBC process first for scrambling input (plaintext) and then processed in an AES algorithm, and decrypting process is reversed that encrypting process when processing AES first and then that AES decrypted result scrambling in CBC process, then that process is final result. It is expected securing document file implemetation can protect document that PT. XYZ owned from conceding and unexpected changing from unaccountable person
Peramalan Pemakain Listrik Menggunakan Metode Double Exponential Smoothing Pada PLN. ULP Jatiwangi Virgiyanti; Musfiroh
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Population growth and rapid economic growth have led to higher demand for electrical energy, so it is necessary to provide and distribute adequate electricity. The State Electricity Company is an institution that distributes electricity in various parts of Indonesia. Provision of electricity supply can occur obstacles that hinder community activities. The reasons are a lack of supply, maintenance constraints, and extreme weather disturbances. The unbalanced capacity of electricity supply and demand for electrical energy can cause problems for consumers. Therefore, it is necessary to forecast electricity consumption for the next one year to be able to balance consumer demand with electricity supply capacity. The Double Exponential Smoothing method is used in this study. The results are for one period carried out from each category. Social customer category was 338180.07 kwh, household was 11720101.36 kwh, business was 1252099.755 kwh, industry was 7890454.24 kwh, government was 102954.03 kwh with a MAPE value of 4.55%, household category with MAPE of 4.83%, business category with MAPE of 111.52%, industry category with MAPE of 8.32%, and government category with MAPE of 7.95%.
Implementasi Metode Certainty Factor Untuk Mengidentifikasi Tipe Kepribadian Karyawan Toserba Luragung Wahyu Ariandi; Ade Kurniawan
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

This research was conducted with the aim of facilitating the selection of prospective new employees at Fajar Toserba Luragung by identifying the personality types of prospective employees. The personality test process for employee acceptance currently does not use an expert system. The advantage gained by using this application is that companies can find out the personality categories of prospective employees more easily and quickly compared to the previous method. This method will provide a solution to determine one's commitment to a company. An expert system is a computer program that tries to imitate or simulate the knowledge and skills of an expert in a particular area. Furthermore, this system will try to solve a problem according to its expertise. The certainty factor is a way of combining trust and disbelief. Qualitative data will be represented as a degree of confidence. The result is that an expert system with the Certainty Factor method can help the personnel department in identifying the personality type of prospective employees by 11.63%. This application can help the personnel department to find out the personality traits of prospective employees and find placement solutions that are suitable for new employees.
Implementasi Metode Monte Carlo Untuk Memprediksi Permintaan Produk Mebel Pada CV. Yoss Sindanglaut Faisal Akbar; Faizal Anwar; Susi Widyastuti
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

One of the problems experienced by entrepreneurs is unpreparedness when the demand for goods is higher than the existing supply. To overcome this problem, a demand prediction application is needed by analyzing data on goods sales transactions that have occurred so that a conclusion can be drawn about predicting the number of requests in the future. This study aims to create a system for calculating demand predictions and the number of web-based automatic sales by applying the Monte Carlo algorithm. The Monte Carlo algorithm is also known as simulated sampling or a sampling technique using a simulation model that includes taking random values ​​and calculating the probability distribution of the data to produce predictive data with a high percentage of similarity. This research was conducted on CV. Yoss Sindanglaut. The results of this study use different data to make predictions, namely sales data for one week, one month, and the previous two months. The result is the CV monte carlo method. Yoss Sindanglaut can predict the demand for furniture products as many as 14 requests for April 2022 with a profit of 4,900,000 and an error value of 12.5%.
IMPLEMENTASI 2 FACTOR AUTHENTICATION DAN MONITORING TRANSACTION PADA APLIKASI PEMESANAN JASA FOTOGRAFI DAN VIDEOGRAFI DI PRIMAPICTURES Putra Hilmana, Primarazaq Noorshalih; Abdul Razak, Rizky Septiana; Rizki, Ikhsan Nurul; Afrianto, Irawan
INFOKOM Vol. 17 No. 1 (2024): JURNAL INFOKOM STIKOM POLTEK CIREBON
Publisher : STIKOM POLTEK CIREBON

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Abstract

The continuous advancement of information technology has brought both positive impacts and new challenges to system administrators. The universal access and ease of technology have provided opportunities for misuse by malicious actors. Security within website platforms, as a fundamental component of information technology, has become an increasingly critical concern. This research proposes the implementation of an additional security mechanism in the form of Two-Factor Authentication (2FA) to enhance security levels in electronic transactions (E-Payment). We applied this system to the Small and Medium Enterprise (SME) Primapictures, which offers photography and videography services. The descriptive analysis method was used to depict relevant facts and information. Test results indicate successful implementation of 2FA and a monitoring mechanism for orders within the system. The 2FA implementation reduces the risk of phishing attacks and enhances security during login. The monitoring mechanism provides swift responses to suspicious behavior. Conclusions and recommendations from this research provide guidance for further developments in securing online transactions.
METODE CASE BASED REASONING UNTUK MENDIAGNOSA GANGGUAN PSIKOLOGI PADA RSD GUNUNG JATI KOTA CIREBON Dwinta Ananda; Sumarna Indra; Ilman Kadori
INFOKOM Vol. 17 No. 1 (2024): JURNAL INFOKOM STIKOM POLTEK CIREBON
Publisher : STIKOM POLTEK CIREBON

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Abstract

Gangguan psikologi dapat dialami oleh setiap orang dengan penyebab dan gejala yang beragam. Salah satu penyebabnya adalah terjadinya banyak perubahan secara tiba-tiba dalam hidup seseorang. Namun gejala yang dirasakan justru lebih sulit diungkapkan karena penderita tidak menyadari bahwa yang sedang dialami merupakan gejala gangguan psikologi. Hal ini dapat memperburuk kondisi psikologi seseorang jika tidak segera mendapatkan penanganan yang tepat dan cepat dalam diagnosis gangguan psikologi. Sistem pakar merupakan salah satu produk kecerdasan buatan yang dapat merepresentasikan pengetahuan pakar ke dalam aplikasi secara cepat dan tepat. Menggunakan metode Case Based Reasoning (CBR), pengetahuan pakar dapat lebih mudah direpresentasikan dengan melakukan pendekatan untuk menyelesaikan suatu permasalahan baru berdasarkan solusi dari permasalahan sebelumnya. Metode CBR memiliki 4 tahapan diantaranya retrieve, reuse, revise dan retain. Pada tahapan tersebut nantinya akan dicari nilai kemiripan (similarity) pada kasus lama terhadap kasus yang baru, sehingga nilai kemiripan paling tinggi dapat ditentukan sebagai diagnosa. Pada hasil uji metode oleh pengguna terhadap sistem yang telah dikembangkan menunjukkan bahwa metode CBR mampu menyajikan hasil penentuan diagnosa dengan baik.

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