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Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika
Published by Institut Teknologi Gamalama
ISSN : 26214962     EISSN : 26214970     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah ILKOMINFO - Jurnal Ilmiah Ilmu Komputer dan Informatika merupakan wadah untuk para guru, akademisi dan praktisi dalam menyebarluaskan artikel ilmiah pada bidang ilmu komputer dan informatika agar bermanfaat bagi masyarakat. Artikel ilmiah ini diterbitkan 2 kali dalam setahun pada bulan Januari dan Juli.
Arjuna Subject : -
Articles 143 Documents
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Optimasi Proses Pembayaran dan Pencatatan SPP Berbasis Digital dengan Pendekatan Business Process Reengineering dan BPMN di SMK Ngunut Amalia Ramadhani Putri; Wildan Suharso
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 9, No 2 (2026): Juli
Publisher : Institut Teknologi Gamalama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v9i2.476

Abstract

Abstrak: Penelitian ini bertujuan untuk meningkatkan efisiensi proses pembayaran dan pencatatan Sumbangan Pembinaan Pendidikan (SPP/PRM) di SMK Ngunut Tulungagung yang masih dilakukan secara manual. Keterbaruan penelitian ini terletak pada integrasi pendekatan Business Process Reengineering (BPR), Business Process Model and Notation (BPMN), analisis efisiensi throughput, serta usability testing dalam pengembangan sistem pembayaran digital berbasis web (e-SPP) di lingkungan SMK. Data diperoleh melalui observasi dan wawancara dengan bendahara sekolah serta petugas loket. Hasil analisis menunjukkan efisiensi throughput awal pada proses pembayaran sebesar 50% dan pencatatan sebesar 85%. Setelah dilakukan perancangan ulang berbasis sistem digital terintegrasi, proses pembayaran dan pencatatan dapat dilakukan secara otomatis dan real-time, sehingga menghilangkan antrean, pencatatan berulang, dan rekapitulasi manual. Implementasi sistem meningkatkan efisiensi throughput menjadi 100% serta menurunkan waktu proses dari 216 menit menjadi 12 menit. Hasil usability testing menggunakan metode System Usability Scale (SUS) menunjukkan kategori Good dan Acceptable, yang menandakan sistem dapat diterima pengguna. Penelitian ini berkontribusi terhadap pengembangan sistem informasi pendidikan dalam mendukung transformasi digital administrasi keuangan sekolah.Kata kunci: Business Process Reengineering, BPMN, Pembayaran SPP, Sistem Informasi Pendidikan, Efisiensi ThroughputAbstract: This study aims to improve the efficiency of tuition payment and recording processes (SPP/PRM) at SMK Ngunut Tulungagung, which are still conducted manually. The novelty of this study lies in the integration of Business Process Reengineering (BPR), Business Process Model and Notation (BPMN), throughput efficiency analysis, and usability testing in the development of a web-based digital payment system (e-SPP) in the vocational school environment. Data were collected through observations and interviews with the school treasurer and payment counter staff. The analysis results indicate that the initial throughput efficiency was 50% for the payment process and 85% for the recording process. After implementing a redesigned integrated digital system, payment and recording activities could be performed automatically and in real-time, eliminating queues, redundant records, and manual recapitulation processes. The implementation increased throughput efficiency to 100% and reduced processing time from 216 minutes to 12 minutes. Furthermore, usability testing using the System Usability Scale (SUS) resulted in Good and Acceptable categories, indicating that the proposed system is well accepted by users. This study contributes to the development of educational information systems in supporting the digital transformation of school financial administration.Keywords: Business Process Reengineering, BPMN, Tuition Payment, Educational Information System, Throughput Efficiency
Sistem Informasi Geografis Potensi Desa Berbasis Web Menggunakan Algoritma Dijkstra Tarsinah Sumarni; Riski Maulana; Brian Damastu Ridho Hutama
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 9, No 2 (2026): Juli
Publisher : Institut Teknologi Gamalama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v9i2.482

Abstract

Abstrak: Penelitian ini memiliki kebaruan berupa penerapan algoritma Dijkstra pada Sistem Informasi Geografis (SIG) potensi desa berbasis web, yang masih jarang diterapkan pada visualisasi potensi pedesaan. Sistem dikembangkan untuk memetakan potensi Desa Karangjaladri secara akurat dan interaktif menggunakan metode Rapid Application Development (RAD). Algoritma Dijkstra digunakan untuk menentukan rute terpendek menuju lokasi potensi desa pada sektor UMKM, pariwisata, perikanan, dan pertanian. Sistem dibangun menggunakan PHP, MySQL, dan OpenStreetMap guna mendukung pengelolaan data spasial dan penyebaran informasi desa secara lebih efektif. Selain itu, sistem diharapkan dapat membantu masyarakat dan perangkat desa dalam mendukung perencanaan pembangunan yang transparan dan partisipatif. Hasil pengujian beta menggunakan Technology Acceptance Model (TAM) terhadap 134 responden menunjukkan respons sangat positif, dengan nilai Perceived Ease of Use 88,8%, Perceived Usefulness 89,55%, Attitude Toward Using 89,698%, Behavioral Intention 90,07%, dan Actual Use 89,50%.Kata kunci: Sistem Informasi Geografis, Potensi Desa, Algoritma Dijkstra, Rapid Application Development (RAD)Abstract: This research offers novelty through the implementation of the Dijkstra algorithm in a web-based Geographic Information System (GIS) for village potential mapping, which is still rarely applied in rural potential visualization. The system was developed to map the potential of Karangjaladri Village accurately and interactively using the Rapid Application Development (RAD) method. The Dijkstra algorithm was applied to determine the shortest routes to village potential locations in the sectors of MSMEs, tourism, fisheries, and agriculture. The system was built using PHP, MySQL, and OpenStreetMap to support spatial data management and information dissemination more effectively. In addition, the system is expected to assist the community and village officials in supporting transparent and participatory development planning. The beta testing results using the Technology Acceptance Model (TAM) involving 134 respondents showed very positive responses, with scores of 88.8% for Perceived Ease of Use, 89.55% for Perceived Usefulness, 89.698% for Attitude Toward Using, 90.07% for Behavioral Intention, and 89.50% for Actual Use.Keywords: Geographic Information System, Village Potential, Dijkstra Algorithm, Rapid Application Development (RAD)
Analisis Sentimen Siswa Terhadap Fasilitas Pembelajaran Jurusan TKJ Menggunakan Algoritma Naïve Bayes Nabila Melani Putri; Khairunnas .; Irma Eryanti Putri
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 9, No 2 (2026): Juli
Publisher : Institut Teknologi Gamalama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v9i2.483

Abstract

Abstrak: Pendidikan kejuruan merupakan sistem pendidikan yang berorientasi pada kesiapan kerja, salah satunya melalui Sekolah Menengah Kejuruan (SMK). Jurusan Teknik Komputer dan Jaringan (TKJ) di SMKN 1 Kota Bima menuntut kualitas pembelajaran yang didukung fasilitas dan strategi pembelajaran yang efektif. Penelitian ini bertujuan menganalisis sentimen siswa terhadap pembelajaran TKJ menggunakan algoritma Naïve Bayes. Kebaruan penelitian terletak pada penerapan analisis sentimen berbasis Naïve Bayes pada data opini siswa TKJ di SMKN 1 Kota Bima yang sebelumnya belum pernah dilakukan, serta penggunaan data primer langsung dari siswa untuk mengevaluasi kualitas pembelajaran dan fasilitas sekolah. Dibandingkan metode lain seperti Support Vector Machine (SVM) dan Deep Learning, Naïve Bayes dipilih karena lebih sederhana, efisien, dan mampu bekerja baik pada jumlah data terbatas. Data penelitian diperoleh melalui penyebaran kuesioner kepada siswa kelas X–XII dengan total 106 data. Tahapan penelitian meliputi preprocessing, pembobotan TF-IDF, dan pengujian menggunakan confusion matrix. Hasil penelitian menunjukkan akurasi sebesar 77,27%, dengan performa terbaik pada kelas positif, sedangkan kelas netral memiliki performa terendah akibat jumlah data yang sedikit.Kata kunci: Naïve Bayes, Analisis Sentimen, Data MiningAbstract: Vocational education is an education system focused on work readiness, one of which is through Vocational High Schools (SMK). The Computer and Network Engineering (TKJ) program at SMKN 1 Kota Bima requires high-quality instruction supported by effective facilities and teaching strategies. This study aims to analyze student sentiment toward TKJ learning using the Naïve Bayes algorithm. The novelty of this research lies in the application of Naïve Bayes-based sentiment analysis to data on the opinions of TKJ students at SMKN 1 Kota Bima, which has not been done before, as well as the use of primary data directly from students to evaluate the quality of learning and school facilities. Compared to other methods such as Support Vector Machine (SVM) and Deep Learning, Naïve Bayes was chosen because it is simpler, more efficient, and capable of performing well with limited data. Research data was obtained through the distribution of questionnaires to students in grades X–XII, yielding a total of 106 data points. The research stages included preprocessing, TF-IDF weighting, and testing using a confusion matrix. The results showed an accuracy of 77.27%, with the best performance in the positive class, while the neutral class had the lowest performance due to the small amount of data.Keywords: Naïve Bayes, Sentimen Analysis, Text Mining

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