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All Journal Progresif: Jurnal Ilmiah Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Bulletin of Computer Science Research Hello World JURNAL ECONOMINA SmartComp
M. Al ‘Amin
Institut Teknologi Dan Sains Nahdlatul Ulama Pekalongan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Desain UI dan UX dalam Sistem Informasi Akademik Menggunakan Metode Extreme Programming Fajar Mahardika; Abdul Razak Naufal; Mohammad AL AMIN
Progresif: Jurnal Ilmiah Komputer Vol 19, No 1: Februari 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i1.1023

Abstract

The academic data processing system at ITSNU Pekalongan is not yet efficient, where activity recording is still carried out in the bookkeeping. This has the potential to cause data to be scattered and the preparation of management reports to take a long time. This study aims to design a UI (User Interface) and UI (User Experience) information system model for managing academic data at ITSNU Pekalongan. System development uses the Extreme Programming approach, where information collection is carried out by observation and question and answer. The results of research conducted at ITSNU Pekalongan concluded that with the construction of this system, it can help officers from BAAK, BAU and LPPM or LPM in managing academic data and information quickly, and can reduce errors in recording and conveying information. From testing the system, the reliability level was obtained with 65 respondents and the percentage proved 100%, which indicated that 65 respondents were suitable and there were no respondents who entered the Excluded type.Keywords: Academic information system; Extreme Programming; User Experience, User Interface AbstrakSistem pengolahan data akademik di ITSNU Pekalongan belum efisien, dimana pencatatan Kegiatan masih dilakukan dalam pembukuan. Hal ini berpotensi menyebabkan tercecernya data serta pembuatan laporan-laporan manajemen menjadi lama. Penelitian ini bertujuan untuk mendesain model UI (User Interface) dan UI (User Experience) sistem informasi untuk mengelola data akademik di ITSNU Pekalongan. Pengembangan sistem menggunakan pendekatan Extreme Programming, dimana pengumpulan informasi dilakukan dengan cara pengamatan serta tanya jawab. Hasil penelitian yang dilakukan di ITSNU Pekalongan menyimpulkan bahwa dengan dibangunnya sistem ini, dapat membantu petugas bagian BAAK, BAU serta LPPM ataupun LPM dalam mengelola data dan Informasi akademik secara cepat, serta dapat mengurangi kekeliruan dalam pencatatan dan penyampaian informasi. Dari pengujian sistem diperoleh tingkat reabilitas dengan jumlah responden 65 serta persentase membuktikan 100%, yang menunjukkan kalau 65 responden itu sesuai serta tidak terdapat responden yang masuk ke jenis Exculded.Kata kunci: Sistem informasi akademik; Extreme Programming; User Experience, User Interface
Implementasi Extreme Programing pada Sistem Informasi Penggajian untuk Peningkatan Pelayanan kepada Karyawan Fajar Mahardika; Miftahul Khoiri; M. Al ‘Amin
Hello World Jurnal Ilmu Komputer Vol. 2 No. 2 (2023): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/helloworld.v2i2.274

Abstract

Pengelolaan data dan informasi untuk saat ini membutuhkan kecepatan dan keakuratan. Salah satunya pada CV. Icon Tekno. CV tersebut dibidang Software House dimana sering melakukan proses penggajian terhadap karyawannya setelah melakukan pengerjaan sistem client. Masalah utama dalam CV tersebut yaitu sistem pencatatan yang masih manual yang kadang menghambat penggajian karena sering kehilangan maupun rusak. Tujuan dari penelitian ini yaitu untuk membantu CV dalam melakukan pencatatan penggajian karyawan yang telah melakukan pengerjaan sistem client. Metode yang digunakan yaitu extreme programming dimana dilakukan analisis sampai pengujian sistem blackbox. Hasil yang di dapatkan sistem informasi penggajian memudahkan dalam pengelolaan data karyawan sampai data gaji yang diberikan. Berdasarkan pengujian aplikasi sudah bisa digunakan untuk melakukan pencatatan penggajian diharapakan bisa membantu pengerjaan pencatatan penggajian secara lebih efisien dan efektif.
Analisis Pemberian Bantuan UMKM Menggunakan Algoritma K-NN dan C4.5 Akrim Teguh Suseno; M Al Amin; Fajar Mahardika
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4312

Abstract

The Covid-19 pandemic has had an impact on the economies of countries in the world, including Indonesia. The low trade balance, public consumption and the implementation of large-scale social restrictions (PSBB) have caused business actors to suffer losses and even go out of business, especially Micro, Small and Medium Enterprises (MSMEs). Assistance to MSMEs has been provided by the government to maintain the functioning of the economy in the micro environment. However, the provision of this assistance needs to be carried out further analysis because there are reports that the assistance is not on target, causing the budget spent to be ineffective. In this research, an analysis will be carried out on the provision of assistance from the government to MSMEs, especially in Pekalongan district, using data mining techniques, especially classification. The algorithms used are K-Nearest Neighbor (K-NN) and C.45 which are then compared to determine the highest level of effectiveness in recommendations for providing MSME assistance in the District. Pekalongan. The data used was 312 MSMEs and after going through the data preprocessing process we got accurate data, namely 279. The data was divided into 2, namely training data of 200 data and testing data of 79 data. The results of this research, the K-NN algorithm obtained an accuracy level of 94.94%, precision 94.73% and recall 94.73%, while the C.45 algorithm obtained an accuracy level of 86.08%, precision 87.21% and recall 88.3%. Based on the results of this research, it can be concluded that the use of data mining techniques with the K-NN and C4.5 algorithms has a high level of accuracy for recommendations for assistance to MSMEs, however for the best results you can use the K-NN algorithm which has an accuracy level of 94.94%.
Implementasi Aplikasi Mobile FamHeal untuk Pemantauan Kesehatan Keluarga Menggunakan Metode Agile Rio Aprianto; M. Al Amin; Turkhamun Adi Kurniawan
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 15, No 3 (2026): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v15i3.10358

Abstract

Kesehatan keluarga merupakan faktor penting dalam meningkatkan derajat kesehatan masyarakat, namun masih banyak keluarga yang mengalami kesulitan dalam memantau dan mengelola kesehatan anggota keluarganya secara terintegrasi. Penelitian ini bertujuan untuk mengimplementasikan aplikasi mobile berbasis Android bernama FamHeal (Family Health) yang dapat membantu keluarga dalam memantau, mencatat, dan mengelola kesehatan keluarga secara mudah dan berkelanjutan. Aplikasi ini dikembangkan menggunakan metode Agile dengan pendekatan Scrum, dengan fokus utama pada platform mobile untuk pengguna keluarga dan platform web untuk sistem administrasi. Fitur utama yang diimplementasikan meliputi pencatatan riwayat kesehatan, pengingat jadwal imunisasi dan pemeriksaan kesehatan, pemantauan pertumbuhan anak, pengingat konsumsi obat, serta laporan kesehatan keluarga. Pengujian fungsional dilakukan dengan metode black box testing, sedangkan pengujian usability dilakukan terhadap pengguna akhir. Hasil pengembangan dan pengujian menunjukkan bahwa aplikasi FamHeal berfungsi sesuai dengan kebutuhan, mudah digunakan, serta mampu memberikan solusi teknologi dalam mendukung pengelolaan kesehatan keluarga secara preventif dan terorganisir
Penerapan Algoritma K-Means dalam Segmentasi Anggota Koperasi Berdasarkan Pola Simpanan dengan Analisis RFMP untuk Meningkatkan Loyalitas Abdul Razak Naufal; Turkhamun Adi Kurniawan; M Al’Amin
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.843

Abstract

Cooperatives as member-based financial institutions have an important role in supporting the welfare of their members. However, the diversity of member characteristics, both in terms of length of membership and the amount of monthly savings, poses challenges in formulating effective management strategies. This study aims to group cooperative members based on financial transaction data patterns using a data mining approach. The method used is the K-Means Clustering algorithm, with the main variables using RFMP analysis (Recency, Frequency, Monetary and Payment), namely length of membership (Recency), frequency of savings in a year (Frequency), amount of monthly savings (Monetary) and timely loan payments (Payment). Data is processed through a pre-processing stage, the data is normalized using the Min–Max Scaling method to equalize unit differences between variables, Determination of the optimal number of clusters is done using the Elbow Method, which shows that the best number of clusters is three groups. The results of the study with a total of 50 transaction data resulted in cooperative members being divided into three clusters. The first cluster is at-risk members at 36%, the second cluster is potential members at 40%, and the third cluster is loyal or exclusive members at 24%. These findings provide practical solutions for cooperatives in developing member management strategies. Existing members need to be motivated to increase savings, new members need coaching to foster loyalty, and premium members need special services to maintain their satisfaction. Thus, clustering results can form the basis for data-driven decision-making in cooperative management.
Penerapan Geographic Information System (GIS) Menggunakan Metode GeoJSON untuk Visualisasi Data Geospasial Sebaran UMKM Batik M Al'Amin; Abdul Razak Naufal; Akrim Teguh Suseno
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.5977

Abstract

Pekalongan City is one of the cities where batik grows. Until now, there are thousands of batiks MSMEs spread across many points in Pekalongan. To introduce batik MSMEs to the general public, a WebGIS-based platform is needed as an information center for Pekalongan batik. This research aims to build a website-based Geographic Information System (GIS) using GeoJSON as a platform for mapping the distribution of MSMEs of Batik and a digital batik literacy center in Pekalongan City. The GeoJSON method is used because it has the ability to read population data in only 14.7 seconds, loading geographic data via the GIS REST API usually takes 38.4 seconds, this makes it very suitable for use in web applications. Its simplicity, compatibility and platform independence have contributed to the geospatial community. GeoJSON is a natural fit with modern web technologies such as JavaScript, which makes it easy to use in web application development and integrates with web service APIs. The test scenario results obtained a total score of 85.8 and the System Usability Scale (SUS) test results obtained a total score of 83.5, which places it in the very good category. The SUS rating scale indicates that potential users find this application easy to use. The design of this application based on test results shows a better effect in terms of ease of use, apart from that, potential users generally give positive marks, so it can be concluded that the implementation of WebGIS using the GeoJSON method for visualizing the distribution of Batik MSMEs can be implemented very well.
Digital Divide Mitigation Strategies in Public Services: An Analysis of the Role of the Village Community Empowerment Agency in Pekalongan Regency Mafturrahman Mafturrahman; M. Al 'Amin M. Al 'Amin; Husni Hidayat; Erlin Erlin; Nur Istiqlaliyah
JURNAL ECONOMINA Vol. 5 No. 8 (2026): JURNAL ECONOMINA, Agustus 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/economina.v5i8.3635

Abstract

The digitalization gap in village public services within Pekalongan Regency constitutes the central urgency of this study, given the stark disparities in information access and service quality between coastal and mountainous areas. This study aims to analyze the strategic role of the Village Community Empowerment Agency (DPMD) in mitigating this divide to realize inclusive digital governance. A descriptive qualitative approach was employed through purposive sampling, involving informants from DPMD leadership and village officials. Data analysis was conducted using the Miles and Huberman interactive model, encompassing data reduction, data display, and conclusion drawing. The findings indicate that DPMD plays a vital role as a regulator through the Village Information System (SID) policy and simultaneously as an infrastructure facilitator. However, mitigation effectiveness is hampered by disparities in technological literacy among village officials, particularly in mountainous areas with limited accessibility. The study concludes that DPMD’s role is critical in providing sustainable asymmetric assistance to reduce the digital divide and ensure the standardization of digital public services across all village levels.
Co-Authors Abdul Razak Naufal Erlin Erlin Husni Hidayat M Mukholik, M Mafturrahman Mafturrahman Mahardika, Fajar Miftahul Khoiri Nur Istiqlaliyah Rio Aprianto Suseno, Akrim Teguh Turkhamun Adi Kurniawan