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Perancangan Sistem Informasi Tabungan Sampah PT Pusri Palembang Berbasis Web Dengan Figma Melati, Syanyah; Gunawan, Catur Eri
Prosiding Seminar Nasional Mini Riset Mahasiswa Vol 3, No 1 (2024)
Publisher : Universitas Negeri Gorontalo

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PT Pupuk Sriwidjaja (Pusri), anak perusahaan PT Pupuk Indonesia (Persero), memprioritaskan pelestarian lingkungan melalui program Tabungan Nona di PT. PUSRI Palembang, mengelola sampah non-organik demi mendukung ekonomi sirkular. Dalam program ini agar meningkatkan partisipasi, berencana mengembangkan situs web menggunakan Figma.Laporan kerja praktik ini bertujuan merancang desain website Tabungan Sampah NONA dengan Figma dan menampilkan hasilnya. Metode pengumpulan data melibatkan observasi dan interaksi langsung dengan penanggung jawab sistem informasi di PT.PUSRI, sementara metode studi pustaka digunakan sebagai referensi penelitian.Penelitian menunjukkan bahwa penggunaan Figma membantu proses analisis dan desain dari flowchart, menghasilkan desain tampilan Tabungan Sampah NONA yang efektif di PT.PUSRI Palembang. Saran untuk pengembangan sistem informasi berbasis website melibatkan pertimbangan keamanan dan privasi data, serta tetap terhubung dengan pengguna dan pihak terkait untuk menerima umpan balik secara teratur, sehingga website tetap relevan dengan kebutuhan dan harapan pengguna serta memfasilitasi partisipasi aktif dalam konsep Tabungan Sampah NONA.

Klasifikasi Predikat Kelulusan Mahasiswa Menggunakan Algoritma C4.5 Fitriyanti, Vina; Testiana, Gusmelia; Eri Gunawan, Catur
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.626

Determination of student graduation predicate based on GPA and additional requirements of timely study period for honors predicate. Currently, there is no in-depth classification to identify graduation predicate, so understanding of the patterns that influence the results is still limited. Accumulation of student graduation data can be used to find new information. This study aims to produce a decision tree classification model using the C4.5 algorithm and evaluate its accuracy in classifying student graduation predicates at UIN Raden Fatah Palembang. The data division technique used is k-fold cross validation to divide the data into training and testing data. The k value used is k = 3 in the first data test, this is based on previous tests with several k values, where k = 3 produces higher accuracy than the others. The rules formed are 242 and the attribute that influences student graduation predicate is GPA. The accuracy of the application of the C4.5 algorithm in classifying student graduation predicates is 83.31% which is included in the Good Classification category.

Pengukuran Kualitas Sistem Informasi Rumah Dinas Perusahaan Bidang Minyak dan Gas Menggunakan Metode Mccall Alfariz, Muhammad Galih; Gunawan, Catur Eri
Prosiding Seminar Nasional Unimus Vol 7 (2024): Transformasi Teknologi Menuju Indonesia Sehat dan Pencapaian Sustainable Development G
Publisher : Universitas Muhammadiyah Semarang

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Perkembangan teknologi yang pesat mendorong perusahaan untuk berinovasi dalam pengelolaan sumberdaya, termasuk sistem informasi yang penting untuk pengelolaan aset seperti rumah dinas. Rumah dinas,sebagai fasilitas untuk karyawan, memerlukan sistem informasi yang efektif agar dapat mengurangikesalahan administratif serta meningkatkan transparansi dan efisiensi operasional. Namun, tantangan yangdihadapi adalah kurangnya standar evaluasi yang konsisten. Penelitian ini bertujuan untuk mengukurkualitas sistem informasi rumah dinas di perusahaan minyak dan gas menggunakan metode McCall, yangmenilai aspek ketepatan, keandalan, efisiensi, dan kegunaan. Data dikumpulkan melalui kuesioner,wawancara, dan observasi, lalu dianalisis untuk mengevaluasi kualitas sistem. Hasil menunjukkan bahwasistem memiliki nilai keseluruhan 92,3%, dengan efisiensi dan ketepatan yang baik, tetapi operabilitas yangperlu ditingkatkan. Rekomendasi diberikan untuk perbaikan, terutama dalam aspek kegunaan dan pelatihanpengguna, untuk meningkatkan pengalaman dan mengurangi kesalahan operasional.Kata Kunci : Sistem informasi, rumah dinas, metode McCall, kualitas perangkat lunak, minyak dan gas.

Pola Peminjaman Buku di Perpustakaan Daerah: Pendekatan Algoritma Apriori Gunawan, Catur Eri; Purwani, Fenny; Jannah, Arda Miftahul
Jurnal Software Engineering and Computational Intelligence Vol 2 No 02 (2024)
Publisher : Informatics Engineering, Faculty of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jseci.v2i02.4839

Penelitian ini mengkaji pola peminjaman buku di Perpustakaan Daerah untuk mengoptimalkan pengelolaan koleksi melalui pengetahuan berbasis data. Dengan menggunakan data transaksi dari Perpustakaan Daerah Sumatera Selatan, penelitian ini menerapkan algoritma Apriori untuk mengidentifikasi aturan asosiasi antar buku yang dipinjam. Hasilnya menunjukkan asosiasi signifikan, seperti buku tentang implementasi basis data yang sering dipinjam bersama dengan buku tentang integrasi basis data dengan web, dengan tingkat kepercayaan sebesar 87%. Pengetahuan baru ini memungkinkan pustakawan untuk menyelaraskan alokasi anggaran tahunan dengan preferensi pengguna, memastikan relevansi dan efisiensi pemanfaatan koleksi perpustakaan. Selain itu, penelitian ini menegaskan efektivitas algoritma Apriori dalam menggali pola yang bermakna dari data transaksi, menawarkan kerangka strategis untuk optimalisasi sumber daya. Tantangan seperti penanganan data yang tidak lengkap dan adaptasi terhadap perubahan preferensi pengguna menekankan pentingnya mengintegrasikan temuan algoritmik dengan umpan balik berkelanjutan dari pemangku kepentingan. Penelitian ini memberikan pendekatan praktis untuk meningkatkan layanan perpustakaan daerah dengan menyesuaikan pengadaan buku sesuai kebutuhan masyarakat.

Sistem Pendukung Keputusan Menentukan Siswa Berprestasi Pada SMK Negeri 5 Palembang dengan Menerapkan Metode Smart Ramadhoni, Muhammad Fathur; Ruliansyah, Ruliansyah; Gunawan, Catur Eri
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.26027

Salah satu komponen sistem informasi yang dapat membantu dalam menyelesaikan masalah pengambilan keputusan adalah sistem pendukung keputusan. Proses dari penilaian dan penentuan siswa berprestasi pada sekolah ini kurangnya ketepatan dan hanya terfokus pada nilai akademik rapor, sedangkan banyak kriteria-kriteria lainnya yang dapat dijadikan acuan dalam menentukan siswa berprestasi seperti nilai kehadiran, nilai keaktifan dan lainnya. Sistem pendukung keputusan terdiri dari beragam metode, salah satu metode yang diterapkan pada penelitian ini adalah metode Simple Multi Attribute Rating Technique atau bisa disingkat metode SPK SMART. Penelitian ini bertujuan untuk membantu para guru dalam menentukan keputusan yang objektif dalam menentukan siswa SMK Negeri 5 Palembang yang berprestasi. SPK yang dibangun menggunakan 7 kriteria pemilihan dan 35 data alternatif yang ditentukan pihak sekolah. Hasil dari penelitian ini dibuatkannya sistem yang dapat membantu menyelesaikan kesulitan pihak sekolah dalam menentukan siswa berprestasi dengan waktu efisien dan ketepatan dalam perhitungannya yang tentunya dapat mengurangi masalah terhadap (Human Error).

The SPP-Payment Information System at MA Babussalam Payaraman Using Rapid Application Development (RAD) Hifzir Ridho; Fenando; Catur Eri Gunawan
The Future of Education Journal Vol 4 No 3 (2025)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i3.480

The development of information technology has had a significant impact on various sectors, including the education sector. MA Babussalam Payaraman, as an Islamic educational institution, recognizes the importance of integrating technology to improve management efficiency. One of the crucial aspects in madrasah financial management is the tuition fee payment system (Sumbangan Pembinaan Pendidikan, SPP). This study aims to design and implement an efficient SPP Payment Information System at MA Babussalam Payaraman. The development method used is RAD (Rapid Application Development) to accelerate the system development process. During the research phase, an in-depth understanding of the madrasah's needs and the SPP payment process was conducted. Next, a system prototype design was created to be adaptable to user needs. The RAD implementation process allows for iterative development and active participation from users, ensuring the system meets the actual needs of the madrasah. This study resulted in an SPP Payment Information System that can be used by the Madrasah Aliyah Babussalam to facilitate the SPP payment process and report generation.

Usability Analysis of the Ikan Musi Mobile Application Using the System Usability Scale (SUS) Lusi Safitri; Catur Eri Gunawan; Muhammad Son Muarie
The Future of Education Journal Vol 4 No 5 (2025)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i5.547

The Ikan Musi Mobile Application is an application developed by the Fisheries Department of the Musi Banyuasin Regency Government in 2021. This application is an Android/web-based platform aimed at improving the information system and facilitating information access for the public. This study was conducted to analyze the usability level of the Ikan Musi Mobile Application using the System Usability Scale (SUS). The research method used by the author is a quantitative approach. The theoretical foundation serves as a guide to ensure the research focus aligns with the real conditions in the field. Data collection in this study was carried out by distributing questionnaires to respondents. All questionnaires collected during the research process were processed and classified using Microsoft Excel 2013 spreadsheet software, then analyzed using the SUS method. Based on the research conducted with 15 respondents, usability testing of the Ikan Musi Mobile application using the System Usability Scale (SUS) method yielded an average score of 85.5, indicating that the application is considered to be highly usable.

Analisis Perilaku Kesadaran Privasi Data Pengguna Sistem Informasi Akademik dengan Pendekatan Technology Threat Avoidance Theory Hamdi, Yusrizal; Gunawan, Catur Eri; Putra, Imamulhakim Syahid
TIN: Terapan Informatika Nusantara Vol 6 No 1 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i1.7590

The implementation of the Sistem Informasi Akademik (SIMAK) has raised concerns regarding data security, particularly the privacy of personal data, academic grades, and Kartu Rencana Studi (KRS) information. Threats to user data privacy often originate from internal actors, posing risks to the confidentiality, integrity, and availability of information. This study aims to explore the factors influencing SIMAK users’ privacy awareness behavior in response to such threats, using the Technology Threat Avoidance Theory (TTAT) as a theoretical framework. A quantitative research approach was employed, with data collected through questionnaires distributed to 393 respondents, comprising active SIMAK users from both student and faculty groups. The collected data were analyzed using the Covariance-Based Structural Equation Modeling (CB-SEM) method with the SmartPLS 4 software. The results reveal that perceptions of vulnerability and severity, as well as their interaction, positively influence threat perception. This perceived threat significantly enhances the motivation to avoid risks. However, the interaction between threat perception and safeguard effectiveness shows a negative impact. On the other hand, self-efficacy positively contributes to avoidance motivation, which in turn influences users’ awareness behavior in protecting data privacy. These findings emphasize the importance of enhancing individual awareness and capability in maintaining information security within academic information systems.

Food and Beverage Menu Package Recommendation System Using Fp-Growth Algorithm Pratama, Aldi Nanda; Gunawan, Catur Eri; Muarie, Muhamad Son
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2784

In the era of digitalization, data utilization has emerged as a key to increasing company competitiveness in the current era of digital transformation, especially in the culinary industry. Recommendation systems are one way of analyzing data. Kedai Kopi Raja Palembang has so far only used transaction data as documentation without further analysis, making it difficult to determine sales products and customer purchasing patterns. This study aims to develop a menu package recommendation system using the Fp-Growth algorithm to analyze transaction data and provide more relevant recommendations. The development method used is the prototype method, with the provisions of the Knowledge Discovery in Database (KDD) stages which include data selection, preprocessing, transformation, application of the Fp-Growth algorithm, and evaluation using the Lift Ratio. The system was developed using Python and allows users to flexibly determine the minimum support and confidence values. The results of the study from the data used in the Raja Coffee Shop transaction history show that the system successfully identified 24 association rules from a minimum support of 1% and a Confidence of 70%. Then, an evaluation was carried out using the Lift Ratio which has a strong relationship between items and the 5 highest rules were taken from the Lift Ratio results for the recommendation menu. The implementation of the Fp-Growth algorithm in a transaction data-based recommendation system can enable business owners to make decisions by utilizing transaction data, to increase the efficiency of menu preparation, and become a model for other culinary businesses in optimizing marketing strategies.

Food and Beverage Menu Package Recommendation System Using Fp-Growth Algorithm Pratama, Aldi Nanda; Gunawan, Catur Eri; Muarie, Muhamad Son
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2784

In the era of digitalization, data utilization has emerged as a key to increasing company competitiveness in the current era of digital transformation, especially in the culinary industry. Recommendation systems are one way of analyzing data. Kedai Kopi Raja Palembang has so far only used transaction data as documentation without further analysis, making it difficult to determine sales products and customer purchasing patterns. This study aims to develop a menu package recommendation system using the Fp-Growth algorithm to analyze transaction data and provide more relevant recommendations. The development method used is the prototype method, with the provisions of the Knowledge Discovery in Database (KDD) stages which include data selection, preprocessing, transformation, application of the Fp-Growth algorithm, and evaluation using the Lift Ratio. The system was developed using Python and allows users to flexibly determine the minimum support and confidence values. The results of the study from the data used in the Raja Coffee Shop transaction history show that the system successfully identified 24 association rules from a minimum support of 1% and a Confidence of 70%. Then, an evaluation was carried out using the Lift Ratio which has a strong relationship between items and the 5 highest rules were taken from the Lift Ratio results for the recommendation menu. The implementation of the Fp-Growth algorithm in a transaction data-based recommendation system can enable business owners to make decisions by utilizing transaction data, to increase the efficiency of menu preparation, and become a model for other culinary businesses in optimizing marketing strategies.

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