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All Journal Jurnal Informatika Jurnal Simetris Jurnal Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal technoscientia Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Computing and Modeling Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Papua IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Eduvest - Journal of Universal Studies Warta LPM Jurnal Sistem Informasi Jurnal Pendidikan Teknologi Informasi (JUKANTI) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Adi Nugroho
Universitas Kristen Satya Wacana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Social Sciences Other

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IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING DALAM PEMILIHAN JASA PENGIRIMAN BARANG Paulina Kota; Adi Nugroho
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 7 No 2 (2024): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI NOPEMBER 2024
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v7i2.1369

Abstract

The restrictions imposed by the government to prevent the spread of COVID-19 have had significant impacts, particularly on the economic sector, leading many companies and small shops to close their businesses. This situation has changed shopping habits, especially among students who use e-commerce platforms in collaboration with delivery service companies to meet personal needs. However, many items ordered through delivery services do not meet expectations upon arrival, such as damaged goods, lost items, and deliveries that do not match the estimated time. The purpose of this research is to create a calculation within the decision-making system that can assist students in making accurate and fast decisions using the SAW method. The data collection was conducted by distributing questionnaires to 100 respondents who are students and have used delivery services. Based on the results obtained using the SAW method, J&T Express ranked first with the highest final score of 0.881, followed by JNE in second place with a final score of 0.765. Next, in third place is SiCepat with a final score of 0.599, Ninja Express in fourth place with a final score of 0.291, POS Indonesia in fifth place with a final score of 0.238. Then, in sixth place is TIKI with a final score of 0.166, and finally, Lion Parcel ranked seventh with a final score of 0.124.
ANALISIS USABILITY TESTING PADA SISTEM SIMATRA UKI TORAJA MENGGUNAKAN HEURISTIC EVALUATION DAN SYSTEM USABILITY SCALE Herdianto Bilma Bunga; Adi Nugroho
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 8 No 2 (2025): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI NOPEMBER 2025
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v8i2.1566

Abstract

Operational testing is crucial in evaluating the usability of an academic information system. However, there is still a lack of studies specifically analyzing the usability level of SIMATRA UKI Toraja. Therefore, this study aims to assess the usability of SIMATRA UKI Toraja using the Heuristic Evaluation method and the System Usability Scale (SUS). The evaluation was carried out by four evaluators using Nielsen’s ten heuristic principles and involved 384 respondents for the SUS assessment. The Heuristic Evaluation identified five major issues related to system status visibility, navigation, and usage flexibility. Meanwhile, the SUS testing resulted in a usability score of 81.25, categorized as acceptable. These findings indicate that SIMATRA still has several shortcomings in terms of user interface and user experience. Improvement recommendations are provided to enhance user efficiency and satisfaction. The results of this study may serve as a reference for further development of academic systems to better respond to user needs.
Pengenalan Citra Wajah Sebagai Identifier Menggunakan YOLOv9 Chris Stevanus Lekpey; Adi Nugroho
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 17 No. 1 (2026): JURNAL SIMETRIS VOLUME 17 NO 1 TAHUN 2026
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v17i1.17062

Abstract

Pengenalan wajah merupakan salah satu metode biometrik yang paling banyak digunakan dalam sistem identifikasi modern karena keunikan karakteristik setiap individu. Penelitian ini bertujuan untuk mengimplementasikan dan mengevaluasi algoritma YOLOv9 dalam pengenalan wajah sebagai identifier. Data set yang digunakan terdiri dari 580 citra wajah dengan variasi pose, ekspresi dan pencahayaan, yang diperoleh secara langsung. Data kemudian melalui tahap prapemrosesan meliputi resizing, normalisasi, dan argumentasi untuk meningkatkan kualitas dan keragaman data. Data set dibagi menjadi data pelatihan, validasi, dan pengujian. Model YOLOv9 dilatih menggunakan platform Google Colab dengan penyesuaian parameter seperti batch size, epoch, dan learning rate untuk mengoptimalkan kinerja model. Evaluasi dilakukan menggunakan confusion matrix dengan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan akurasi sebesar 97%, presisi 85%, recall 85%, dan F1-score 85%. Hasil ini menunjukkan bahwa YOLOv9 memiliki performa yang baik dalam tugas pengenalan wajah dan mampu memberikan keseimbangan antara akurasi dan efisiensi. Oleh karena itu, metode ini berpotensi untuk diterapkan dalam berbagai sistem identifikasi berbasis citra. Penelitian ini juga membuka peluang pengembangan lebih lanjut untuk meningkatkan performa sistem melalui optimasi model dan penambahan data set yang lebih besar dan beragam.
Arahan Sistem Pertanian Ideal Berbasis Potensi Sumberdaya Lahan: Komponen Dasar Cukilan Smart Village Andree Wijaya Setiawan; Bistok Hasiholan Simanjuntak; Yoga Aji Handoko; Yohanes Hendro Agus; Lasmono Trisunaryanto; Maria Maria; Adi Nugroho; Johan Jimmy Carter Tambotoh
Warta LPM WARTA LPM, Vol. 27, No. 2, Juli 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/warta.v27i2.4812

Abstract

In recent years, the concept of smart villages has gained increasing prominence as a means of encouraging sustainable development in rural areas. This is particularly relevant in the agricultural sector, where the potential of land resources is crucial. Cukilan Village, located in Suruh District, Semarang Regency, Central Java, is primarily an agricultural area, with over 80% of its land designated for agricultural purposes. The village government has expressed a desire to develop Cukilan as a smart village through an FGD process. Based on this background, a community service program was implemented with the aim of designing Cukilan Village as a smart village in stages, to enhance economic growth and prosperity by leveraging the potential of agricultural resources and human resources, as well as accelerating the village development process. The method for implementing this PKM (Community Service) program utilized the Assets-Based Community Development (ABCD) approach, which involved outreach, discussion, mapping of agroecological zones, as well as land suitability and evaluation. As a result of this initiative, the Cukilan Village government received guidance for an ideal agricultural system based on land resource potential, which serves as a basic component towards the realization of Cukilan Smart Village.
Comparison of F1-Score Naive Bayes, Logistic Regression, K-Nearest Neighbors, and SVM for Sentiment Classification X in Police Institutions Robertos Hartanto Wijaya; Adi Nugroho
Eduvest - Journal of Universal Studies Vol. 6 No. 3 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i3.53005

Abstract

Social media, especially platform X, is the main channel for the public to express their opinions on public institutions, including the police. Analysis of public sentiment on this platform can provide insight into police performance. This study aims to compare the performance of machine learning algorithms Naive Bayes, Logistic Regression, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) in classifying negative sentiments towards policing on social media X, as well as overcoming data imbalances using the SMOTE method. The dataset consisted of 1,274 Indonesian-language data collected by crawling, then processed using preprocessing techniques such as text cleaning, stopword removal, and TF-IDF feature extraction. Testing is conducted with and without the implementation of SMOTE for data balancing. Evaluate the model's performance using F1-Score. Without SMOTE, all algorithms fail to recognize neutral classes. After the implementation of SMOTE, Logistic Regression showed the best performance with an F1-Score of 80.85%, followed by SVM, Naive Bayes, and KNN. The implementation of SMOTE significantly improves the model's ability to classify negative sentiments.  The combination of Logistic Regression and SMOTE is the best approach to classifying public sentiment towards policing, which can help police agencies understand public sentiment more accurately.
Peningkatan Kapasitas Penelitian Guru dan Siswa SMA Melalui Pelatihan Metodologi Penelitian dan Pendampingan Olimpiade Penelitian Siswa Indonesia Andreas A. Sukmana; Sri Kasmiyati; Betty E. Kristiani; Hindriyanto D. Purnomo; Budhi Kristianto; Krismiyati Krismiyati; Teguh I. Bayu; Radius Tanone; Adi Nugroho; Hanita Yulia; Evangs Mailoa; Erwien Christianto
JURNAL PENGABDIAN PAPUA Vol 10 No 1 (2026)
Publisher : LPPM Uncen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31957/jpp.v10i1.5252

Abstract

Critical and innovative thinking skills are essential requirements for students to meet the global challenges. One strategy to develop these skills is through participation in the Indonesian Student Research Olympiad (OPSI), which requires collaboration between teachers and students in implementing fundamental research concepts. However, the implementation of basic research concepts within the high school curriculum remains limited. Consequently, collaboration with higher education institutions serves as a potential solution, specifically through research training and mentoring. This training initiative aimed to enhance the research competence of teachers and students at SMAN 1 Ambarawa by providing methodology training and mentoring for OPSI research teams, conducted by a faculty team from Satya Wacana Christian University. The program was conducted intensively consisting of research design training and research mentoring for nine student groups. The training and the mentoring were provided by lecturers whose expertise aligned with the specific OPSI proposal topics of each group. This mentoring resulted in an overall improvement in the research capabilities of both teachers and students, with one group successfully won a gold medal at OPSI 2025. In conclusion, this program results in a positive reception, which expressed the hope that similar initiatives can be conducted on a regular basis.
Analisis UI/UX website Guesthouse Gethsemane Salatiga menggunakan metode heuristic Wines Kurnia Sendy; Adi Nugroho
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp26-36

Abstract

Gethsemane Salatiga website using Jakob Nielsen’s heuristic evaluation method combined with a triangulation approach. The evaluation involved 20 respondents, consisting of 7 UI/UX experts and 13 general users and guests, who assessed the website based on Nielsen’s ten heuristic principles, including visibility of system status, match between system and the real world, user control and freedom, consistency and standards, error prevention, recognition rather than recall, flexibility and efficiency of use, aesthetic and minimalist design, error recovery, and help and documentation. To minimize potential bias, the study integrated heuristic evaluation with user context analysis and empirical validation through usability testing, thereby providing a more comprehensive assessment. The results indicate that the overall UI/UX quality of the website is relatively good, with average scores ranging from 3 to 4 on a 5-point scale. Most identified issues fall within minor to moderate severity levels, with no critical problems affecting core functionalities. Consistency and standards received the highest average score (4.0), while alignment with user expectations and visual comfort still need improvement. Recommendations include enhancing system feedback, strengthening error prevention mechanisms, and improving help and documentation features. The differences in assessments between expert and non-expert respondents highlight the importance of professional evaluation in identifying usability issues. This study contributes to the refinement of a more reliable and contextually relevant UI/UX evaluation framework, particularly within the hospitality and tourism sector.
Analisis Kepuasan Pengguna Layanan GoFood pada Aplikasi Gojek Menggunakan Metode End User Computing Satisfaction di Kota Salatiga Netiva Hidayah; Adi Nugroho
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5509

Abstract

Dengan kemajuan teknologi di era digital, layanan masyarakat telah berubah karena aplikasi berbasis mobile menjadi lebih mudah diakses. Sebagai bagian dari ekosistem Gojek, GoFood adalah perusahaan pesan antar makanan terkemuka di Indonesia. Kualitas layanan yang lebih baik sangat penting dalam per-saingan yang semakin ketat, yang dapat diukur melalui kepuasan pengguna. Untuk mendapatkan pemahaman yang lebih baik tentang komponen yang memengaruhi kepuasan pengguna aplikasi ini, penelitian ini meneliti pengalaman pengguna GoFood di Kota Salatiga dengan menggunakan metode EUCS dan mengintegrasikan variabel Perceived of Usefulness dari metode TAM. Hasil penelitian menunjukkan bahwa variabel konten, ketepatan, format, kemudahan penggunaan, waktu, dan kepuasan pengguna memiliki hubungan yang signifikan satu sama lain. Penelitian ini menyoroti pentingnya penyesuaian strategi berdasarkan lokasi spesifik seperti Kota Salatiga untuk meningkatkan pengalaman pengguna. Implikasi temuan ini diarahkan pada upaya pengembangan pendekatan yang lebih tepat sasaran guna meningkatkan kepuasan pengguna aplikasi, khususnya GoFood, dalam konteks lokal.
ANALISIS PENJUALAN OLI MOTOR DI TOKO KARUNIA MOTOR AMBARAWA MENGGUNAKAN METODE DECISION TREE Galih Bintang Pradana; Adi Nugroho
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6738

Abstract

Pesatnya pertumbuhan kendaraan bermotor mengakibatkan seringnya dilakukan pergantian oli mesin sesuai dengan jadwalnya semisal 3-4 bulan sekali. Tingginya jumlah permintaan pihak Toko Karunia Motor Ambarawa perlu membuat kebijakan untuk strategi pemasaran. Berdasarkan permasalahan tersebut dibutuhkannya sebuah penelitian untuk membantu pihak toko dalam hal prediksi penjualan oli motor. Penilitian ini menggunakan metode decision tree. Berdasarkan hasil akurasi menyatakan bahwa hasil accuracy pada perhitungan yang didapat sebesar 65,12% yang artinya data yang diklasifikasikan pada produk laris nilai presicion sebesar 64.52% dan pada produk kurang laris nilai presicion sebesar 66.52 dengan recall 83.33%.
Co-Authors Agustho Isai Ahmad Ashari Ahmad Ashari Alesandro Sulthan Yudistira Alessandro Christoforus Baramuli Andreas A. Sukmana Andree Wijaya Setiawan Angela Atik Setiyanti Arifin, Andrean Jonathan Ariya Dwika Cahyono Arya Eka Saputra Betty E. Kristiani Bistok Hasiholan Simanjuntak Bramastya Arya Gandhi Rusmantara Budhi Kristianto Chaidar Wicaksono Chris Stevanus Lekpey Chrisandy Noel Siruru Daniel Setyo Cahyo Utomo Demira Intan Suranda Edi Winarko Epenetus Calvin Erni Erni Erwien Christianto Evangs Mailoa Galih Bintang Pradana Gracia Radiena Hanita Yulia Herdianto Bilma Bunga Hindriyanto Dwi Purnomo Imelda Ruwae Lutunani Jassen Vimala Johan Jimmy Carter Tambotoh Khabib Mustofa Krismiyati Lasmono Trisunaryanto Maria Maria Netiva Hidayah Paga, Efraim Paulina Kota Pradipta Angga Saputra Radius Tanone Rivo Masinambow Robertos Hartanto Wijaya Sebah, Hermon Julkifly Sri Hartati Sri Hartati Sri Kasmiyati Stefan Agustinus Teguh I. Bayu Timothy Garry Van Solang Windy Kusumawati Suhet Wines Kurnia Sendy Yoga Aji Handoko Yohanes Hendro Agus