Article Per Year (5 Year)
p-Index From 2019 - 2024
0.778
P-Index
This Author published in this journals
All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Antivirus : Jurnal Ilmiah Teknik Informatika Insand Comtech : Information Science and Computer Technology Journal
Abd Wahab Syahroni
Universitas Madura
Computer Science & IT Electrical & Electronics Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
PERANCANGAN APLIKASI MANAJEMEN PENJUALAN PADA APOTEK ADIBA FARMA Abd Wahab Syahroni; Nilam Ramadhani
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 15 No 1 (2021): Mei 2021
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v15i1.1410

Abstract

The Adiba Farma Pharmacy is a new business place that sells drugs, but wants to have an application in the process of buying and selling transactions at the pharmacy, to make it easier to search drug data, drug location, view drug prices, stocks, drug expiration dates, buying and selling transactions and view reports of sales to consumers and reports of purchases from suppliers. To realize this desire, in this study a pharmacy sales management application is designed that is built using a web-based programming language that can be accessed only on a client server-based pharmacy local computer network. The application is built using the prototype method, the blackbox method is used for application testing. The results of testing with the blackbox method are valid, meaning that 100% of the application's functionality can run well, so it can be said that this application can be used by Adiba Farma Pamekasan pharmacies.
APLIKASI POINT OF SALE DAN PERAMALAN STOK BARANG MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING DI KURNIA STUDIO PAMEKASAN Eko Cahayadi; Abd Wahab Syahroni; Sandy Vikki Ariyanto
Insand Comtech : Information Science and Computer Technology Journal Vol 6, No 2 (2021): Volume 6 No 2 2021
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1144.431 KB) | DOI: 10.53712/jic.v6i2.1421

Abstract

In the current era of globalization, information technology is increasing very rapidly, especially in sales marketing. The computer as an intermediary created to facilitate human work. Kurnia studio which is engaged in the sale of goods and services requires a lot of information software that supports and provides satisfying services for consumers. Until now all the relaxation in the studio has not been computerized, starting from recording the order to storing other data related to sales to reporting, so that it is possible during the process of recording errors in the calculation, the accuracy of the data made and delays in searching the data required. Another problem faced by Kurnia Studio is that it is difficult to determine the stock of goods. Determination of the right stock of goods is needed to be able to divide the capital allocation so that services and sales can run smoothly. For that we need a point of sale application that is useful in finding data and making studio financial reports to be more accurate and faster. with this technology a forecasting system is also used using the double exponentiation smoothing method to analyze the stocking of goods for the following month. The use of this method is based on the stock of goods in the studio studio which tends to go up or down.Keywords : Point of Sale,, Forecasting,Metode Double exponential smoothing
PERANGKAT LUNAK ANALISA KEMAMPUAN SISWA MENGGUNAKAN ALGORITMA PRISM Nur fajjriyah; Anang Faktchur Rachman; Sholeh Rachmatullah; Muhammad Yasir Zain; Abd Wahab Syahroni
Insand Comtech : Information Science and Computer Technology Journal Vol 8, No 2 (2023): Insand Comtech
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53712/jic.v8i2.2086

Abstract

ABSTRAK Perkembangan teknologi selalu mempunyai peran yang sangat penting dalam memberikan arahan pada dunia pendidikan. Salah satu arahan yang menarik adalah berkenaan dengan peningkatan mutu pendidikan. Upaya peningkatan mutu pendidikan dilakukan karena rendahnya prestasi belajar. Dalam rangka meningkatkan prestasi belajar pada siswa, guru harus bisa mengetahui kemampuan siswanya dalam menggunakan model pembelajaran serta ketrampilan dalam menyampaikan materi pelajaran. Hal ini sangat berpengaruh terhadap keberhasilan belajar siswa. Salah satu model pembelajaran yang dapat digunakan adalah model E-Learning. E-Learning merupakan suatu jenis belajar mengajar yang memungkinkan dalam menyampaikan pelajaran pada siswa dengan menggunakan media internet, intranet atau media jaringan komputer lainnya. Sehingga akan sedikit membantu siswa dalam mengerjakan soal. Sedangkan algoritma yang akan diterap pada aplikasi adalah Algoritma Prism. Output dari algoritma Prism adalah sejumlah classification rules. Algoritma ini dirancang untuk  mengetahui materi yang dikuasai atau tidak dikuasai oleh siswa dari hasil Rule. Berdasarkan uraian yang telah dikemukakan diatas, penulis tertarik untuk mengadakan penelitian di Lembaga Kursus Pendidikan ( LKP ) Mentari Bangkit Pamekasan yang bertujuan untuk mengukur kemampuan siswa dalam menjawab soal sesuai dengan materi. Materi ini dari mata pelajaran Matematika tingkat SD kelas IV, V, dan VI dengan jumlah materi sebanyak 13 materi dan soal terdiri dari 130 soal dengan tipe soal pilihan ganda. Kata Kunci : E-Learning, Classification Rules, Algoritma Prism.
Analisis Sentimen Komentar Mahasiswa Terhadap Dosen Mata Kuliah Pada Aplikasi SIMAT abd wahab syahroni
Jurnal PROCESSOR Vol 18 No 2 (2023): Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.1447

Abstract

Assessment in the form of multiple choices is very easy to do, but not for assessment in the form of descriptions or sentences. In the SIMAT application at the University of Madura, there is a feature for student comments on course lecturers in the form of sentences. Students fill in comments at the end of each semester. Until now, the results of the assessment of student comments have never been given. Sentiment Analysis is one of the techniques in the field of Natural Language Processing (NLP) that studies attitudes, feelings, judgments and people's emotions about something. By using Sentiment Analysis on student comments, it can quickly provide results whether the accumulated student ratings are positive, negative or neutral. This research has succeeded in giving sentiment analysis values to student comments and displaying them in graphical and wordcloud form. From the trial data for 1 course with 21 students who filled in comments, the resulting sentiment analysis value was positive 12, neutral 9, and negative 0 with a value of accuracy, precision, recall and f1 score of 100%.
Co-Authors Anang Faktchur Rachman Eko Cahayadi Muhammad Yasir Zain Nur fajjriyah Ramadhani, Nilam Sandy Vikki Ariyanto Sholeh Rachmatullah