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All Journal Jurnal INSYPRO (Information System and Processing)
Asrul Azhari Muin
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Sistem Informasi Pengelolaan Data Peserta Praktek Kerja Industri (Studi Kasus Lembaga Kursus Dan Pelatihan Aksara Tekno Edukasi) Asrul Azhari Muin; Zulkarnaim Masyhur; Rasdam N Saleh
Jurnal INSYPRO (Information System and Processing) Vol 7 No 1 (2022)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v7i1.6605

Abstract

Pendaftar yang belum terkomputerisasi sehingga terjadi penumpukan berkas bahkan hilang yang mengakibatkan pembuatan kartu pengenal, absensi dan jadwal kelas menjadi lambat. Begitupun pengelolaan data alumni yang masih menggunakan Microsoft office sehingga pengelolaan tidak dapat dilakukan dengan cepat, file-file yang tersimpan belum tertata dengan baik dan data yang tersedia kurang up-to-date sehingga dibutuhkan suatu sistem yang dapat mengelola data tersebut dengan baik. Tujuan penelitian ini ialah merancang dan membangun suatu sistem informasi pengelolaan data peserta pada LKP Aksara Tekno Edukasi Makassar yang dapat mempermuda pengelolaan data peserta secara efektif dan efisien.Jenis penelitian yang digunakan pada penelitian ini adalah jenis penelitan kualitatif, dengan metode penelitian deskriftif. Pengembangan aplikasi ini menggunakan metode waterfall melalui tahapan-tahapan seperti analisa kebutuhan, desain sistem, penulisan kode program, pengujian program dan penerapan program. Adapun teknik metode pengujian yang digunakan pada penelitian ini adalah menggunakan metode pengujian Black Box. Hasil pengujian menunjukkan aplikasi mengerjakan seluruh loop yang sesuai dengan batasannya dan validasi data yang akan dimasukkan sesuai yang diharapkan. Berdasarkan hal tersebut dapat diambil kesimpulan bahwa tujuan penelitian sudah tercapai
Perancangan Sistem Klasifikasi Mahasiswa untuk Prediksi Performa Mahasiswa Menggunakan Naïve Bayes Classifier Asrul Azhari Muin; Rahman; Andi Abdillah
Jurnal INSYPRO (Information System and Processing) Vol 7 No 2 (2022)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v7i2.35247

Abstract

Abstract – One of the important aspects in determining student performance in the lecture process is the timeliness in completing their studies. The study period of each student can be caused by various factors. By using the Naïve Bayes Classifier algorithm, it is possible to predict student performance in the Information Systems Study Program, UIN alauddin Makassar. The attributes used are gender, 1st semester GPA, 2nd semester GPA, entry path, high school major, school type, economic status, working status, marital status and organization. The student sample, namely alumni data from the 2011 to 2017 batches was used as training and testing data totaling 275 data, while student data from the 2019 and 2021 batches as target data were 153 data. The testing process will be carried out using 10 Fold Cross Validation method, and Confusion Matrix method. The results of the test show that the average performance of the Naïve Bayes model has an accuracy of 70%, precision of 69%, recall of 70% and f1-score of 67%. In this research, the system design uses Agile Method which is optimized with Laravel Framework. The Laravel framework is a framework that has a concise and efficient MVC (Model, View, Controller) concept used in developing a web application and has many helpers that can facilitate and assist in the application creation process. System testing using Black Box testing techniques. Keywords: Predict, Naïve Bayes, student, 10 fold cross validation, confusion matrix.
Sistem Monitoring Persediaan Obat Pada Puskesmas Malangke Barat Kabupaten Luwu Utara Menggunakan Progressive Web Application Asrul Azhari Muin; Erfina; Marlina Pratiwi
Jurnal INSYPRO (Information System and Processing) Vol 8 No 2 (2023)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/insypro.v8i2.41436

Abstract

Monitoring drug supplies at the West Malangke Community Health Center is something that must be done because this drug monitoring function is carried out so that no drugs are missed starting from incoming drugs and outgoing drugs as well as monitoring the expiration of drugs. The process of inputting incoming and outgoing medicines still uses Microsoft Excel, which in the process takes longer because every time a medicine comes in, the officer will record it in the book according to the date of entry of the medicine with more than one type of medicine, then check them one by one, then input them into in Microsoft Excel. Therefore, a system is needed to make it easier for West Malangke Community Health Center pharmacy officers to monitor drug supplies. The monitoring system used is a Progressive Web Application which has responses such as a mobile app, responsive layout, has icons that can be added to the device's home screen, can send and receive notifications and can simplify the process of monitoring drug supplies in the recording process so that errors do not occur. and the need to pay attention to reporting between receiving and dispensing drugs can produce a good drug monitoring process. Based on research results, the drug supply monitoring system using the Progressive Web Application is very helpful for pharmacy staff in inputting incoming and outgoing drugs as well as helping to monitor drug expiration.
Co-Authors Andi Abdillah Erfina Marlina Pratiwi Rahman Rasdam N Saleh Zulkarnaim Masyhur