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All Journal Jurnal Ilmiah Informatika Komputer Pendidikan Geografi JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Tourism & Hospitality Essentials Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTT (Jurnal Teknologi Terpadu) QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi JIKO (Jurnal Informatika dan Komputer) Jurnal Pilar Nusa Mandiri Journal of Research and Technology Jurnal BALIRESO Jurnal Sisfokom (Sistem Informasi dan Komputer) ILKOM Jurnal Ilmiah Jurnal RESISTOR (Rekayasa Sistem Komputer) Adimas : Jurnal Pengabdian Kepada Masyarakat KOMPUTIKA - Jurnal Sistem Komputer Buletin Ilmiah Sarjana Teknik Elektro Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Data and Science Idealis : Indonesia Journal Information System JISO : Journal of Industrial and Systems Optimization International Journal of Engineering, Science and Information Technology Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Abditeknika - Jurnal Pengabdian Kepada Masyarakat Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Jurnal Algoritma Hawari: Jurnal Pendidikan Agama dan Keagamaan Islam Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Open Community Service Journal The Center For Sustainable Development Studies Journal Tatar Pasundan: Jurnal Diklat Keagamaan MANISE (Manajemen, Bisnis dan Ekonomi) The Indonesian Journal of Computer Science Industrial & System Engineering Journals (ISEJOU) JURMA YUSTISI Journal of Information Technology and its Utilization Linier: Literatur Informatika dan Komputer
lilis nurhayati
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Muslim Indonesia Makassar, Indonesia
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Klasifikasi Penyakit Bawang Merah Menggunakan Naïve Bayes dan Convolutional Neural Network Dian; Purnawansyah; Darwis, Herdianti; Nurhayati, Lilis
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3265

Abstract

Bawang merah rentan terhadap serangan penyakit yang dapat mengganggu pertumbuhan dan mengakibatkan hasil panen yang tidak maksimal bahkan gagal panen, seperti bercak ungu dan moler. Penelitian ini bertujuan untuk mengklasifikasikan penyakit bawang merah dengan mengimplementasikan meetode naïve bayes (gaussian , bernoulli, dan multinomial) dan CNN pada citra bawang merah yang diekstraksi menggunakan fourier descriptor. Metode FD – CNN memperoleh tingkat accuracy 98% dalam mengklasifikasikan penyakut bawang merah, moler dan bercak ungu, sedangkan metode CNN tanpa menggunakan ekstraksi menghasilkan nilai accuracy sebesar 97%. Adapun pada metode naïve bayes, pengklasifikasian yang memiliki accuracy paling tinggi adalah metode gaussian naïve bayes sebesar 95% sedangkan yang paling rendah yaitu metode bernoulli naïve bayes dengan tingkat accuracy sebesar 42%. Dengan demikian, dapat disimpulkan bahwa CNN, FD-CNN, dan FD-GNB efektif untuk meningkatkan performa klasifikasi pada citra daun bawang merah.
Sanctions for Criminal Acts Without the Right to Use Academic Degrees, Vocational Degrees and Professional Degrees According to Law No. 12 of 2012 concerning Higher Education (Study at the Supreme Court of the Republic of Indonesia) Nurhayati, Lilis; Hartini, Sri; Ratnawaty, Latifah
JURNAL MAHASISWA YUSTISI Vol. 1 No. 2 (2023)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurmayustisi.v1i2.653

Abstract

An academic degree is a degree obtained through a certain level of education, in a certain field as well. Examples of this academic degree are S, Pd for education, (S.T) for engineering, (S, Ag) for religion, (Dr) for health, and others. A vocational degree is a degree given to diploma-level graduates of vocational education or academies that produce expertise in a particular field from a university. Professional degree A professional degree is a degree given to graduates of professional education in a particular field of study from a university. The conclusion obtained from the research is that the inclusion of a false academic degree for a person for the sake of public recognition, that a person has a high educational background, which is indicated by a degree can be subject to criminal sanctions. The legislation regulates the prohibition of degrees used without rights by a person, this is in accordance with the formulation of article 28 paragraph (7) of law No. 12 of 2012 concerning higher education which reads "individuals who without rights are prohibited from using academic degrees, vocational degrees and / or professional titles. Keywords: Academic Degree, Vocational Degree and Professional Degree
Improving Eco Enzyme Product Quality with Seven Tools and 5W+1H Methods Nurhayati, Lilis; Widari, Nyoman Sri; Bellanov, Agrienta
Jurnal SENOPATI : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Vol 6, No 2 (2025): Jurnal SENOPATI Vol 6, No 2
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.senopati.2025.v6i2.7432

Abstract

Eco-enzyme is a fermentation product of organic materials, which is beneficial to the environment, but often suffers from defects in its production. This research aims to improve the quality of eco-enzymes using the Seven Tools and 5W+1H methods. Seven Tools identifies the causes of defects, while 5W+1H formulates improvement strategies. The analysis results show that color defects or black mold is the main problem with a percentage of 46.15%. Causal factors include poor quality raw materials, low labor skills, and suboptimal processing methods. Improvements were made by selecting fresh organic ingredients, 20% leafless vegetable composition, 30-minute soaking, and more optimal stirring. This strategy is expected to improve product quality and reduce the level of defects in eco-enzyme production.
EVALUATING FIKOM THESIS ADVISORY QUALITY WITH MANAGEMENT BY OBJECTIVES AT UNIVERSITAS MUSLIM INDONESIA Haris, Najwan Firdaus; Hayati, Lilis Nur; Widyawati, Dewi
Jurnal Pilar Nusa Mandiri Vol. 21 No. 1 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i1.5734

Abstract

The Faculty of Computer Science (FIKOM) at Universitas Muslim Indonesia (UMI) faces significant challenges in enhancing the quality of thesis supervision due to an increasing student population. This study utilizes the Management by Objectives (MBO) approach to evaluate and improve faculty supervision quality. MBO involves setting clear goals, monitoring progress, providing feedback, and evaluating performance based on Key Performance Indicators (KPIs), Customer Satisfaction Scores (CSAT), and Customer Effort Scores (CES). Data was gathered from questionnaires distributed to 211 FIKOM students currently writing or who have completed their theses. The findings reveal that MBO implementation significantly enhances communication between faculty and students, clarifies supervision goals, and boosts student satisfaction. The structured and directed approach of MBO makes the supervision process more efficient, leading to higher quality thesis completions. Additionally, the research underscores the importance of aligning supervision schedules and methods to better fit both faculty and student needs, thus mitigating issues related to faculty workload and student guidance. The study concludes that adopting MBO in thesis supervision processes can substantially improve both the effectiveness and satisfaction of academic guidance at FIKOM UMI.
Evaluasi Indikator Kinerja Menggunakan Balanced Scorecard (BSC) dan Analytic Network Process (ANP) pada Penyedia Jasa Logistik Cahya Wulandari, Lusi Mei; Nurhayati, Lilis; Dimas, Ravael
Journal of Research and Technology Vol. 11 No. 1 (2025): JRT Volume 11 No 1 Juni 2025
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/7pp0f559

Abstract

Pengukuran kinerja yang efektif merupakan elemen penting dalam memastikan keberhasilan implementasi strategi organisasi. Penelitian ini mengintegrasikan kerangka Balanced Scorecard (BSC) dengan Analytic Network Process (ANP) untuk mengevaluasi kinerja penyedia jasa logistik secara komprehensif. Metode ini dirancang untuk mengatasi keterbatasan BSC tradisional dengan memperhitungkan hubungan timbal balik dan saling ketergantungan antar indikator kinerja. Proses analisis melibatkan penentuan bobot prioritas menggunakan perbandingan berpasangan (pairwise comparison), yang dilakukan melalui perangkat lunak ANP. Hasil penelitian menunjukkan bahwa indikator "Karyawan Dedikatif" memiliki pengaruh terbesar terhadap kinerja organisasi, diikuti oleh "Pertumbuhan Penjualan" dan "Efisiensi Biaya Operasional". Sementara itu, indikator "Kapabilitas Transportasi" dan "Kualitas Produk/Servis" berada pada prioritas terendah. Temuan ini menekankan pentingnya memperkuat aspek sumber daya manusia dan efisiensi finansial untuk meningkatkan daya saing penyedia jasa logistik. Penelitian ini memberikan kontribusi dalam mengembangkan pendekatan holistik untuk pengukuran kinerja strategis, sekaligus menawarkan kerangka kerja yang aplikatif bagi manajer dalam merancang strategi organisasi berbasis data. Selain itu, integrasi BSC dan ANP terbukti efektif dalam menangkap dinamika hubungan kompleks antar elemen strategis, sehingga menghasilkan wawasan yang lebih mendalam untuk pengambilan keputusan.
Optimizing YOLO-Based Algorithms for Real-Time BISINDO Alphabet Detection Under Varied Lighting and Background Conditions in Computer Vision Systems Hayati, Lilis Nur; Handayani, Anik Nur; Gunawan Irianto, Wahyu Sakti; Asmara, Rosa Andrie; Indra, Dolly; Damanhuri, Nor Salwa
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.948

Abstract

This research explores the optimization of YOLO-based computer vision algorithms for real-time recognition of Indonesian Sign Language (BISINDO) letters under diverse environmental conditions. Motivated by the communication barriers faced by the deaf and hearing communities due to limited sign language literacy, the study aims to enhance inclusivity through advanced visual detection technologies. By implementing the YOLOv5s model, the system is trained to detect and classify correct and incorrect BISINDO hand signs across 52 classes (26 correct and 26 incorrect letters), utilizing a dataset of 3,900 images augmented to 10,920 samples. Performance evaluation employs k-fold cross-validation (k=10) and confusion matrix analysis across varied lighting and background scenarios, both indoor and outdoor. The model achieves a high average precision of 0.9901 and recall of 0.9999, with robust results in indoor settings and slight degradation observed under certain outdoor conditions. These findings demonstrate the potential of YOLOv5 in facilitating real-time, accurate sign language recognition, contributing toward more accessible human-computer interaction systems for the deaf community.
A Secure Geotagging Authentication Mechanism Using EXIF Metadata for Digital Public Works and Spatial Planning Office Complaint Platforms Wahyudi, Yasyfa Xena Arleyda; Hayati, Lilis Nur; Abdullah, Syahrul Mubarak
Jurnal Ilmiah Informatika Komputer Vol 30, No 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i2.14667

Abstract

Sistem pengaduan publik di lembaga pemerintah daerah sering menghadapi tantangan seperti laporan yang tidak valid, proses verifikasi manual yang lambat, dan ketiadaan integrasi lokasi pelapor. Untuk mengatasi masalah tersebut, studi ini mengembangkan sistem informasi pengaduan publik berbasis web untuk Kantor PUPR Kota Baubau dengan menerapkan mekanisme validasi otomatis menggunakan metadata EXIF yang tertanam dalam foto pengaduan. Sistem ini dikembangkan menggunakan pendekatan Waterfall yang memungkinkan proses perancangan berjalan terstruktur dan terdokumentasi dengan baik. Fitur utamanya mencakup validasi otomatis lokasi dan waktu pengambilan foto, penolakan laporan tidak valid, deteksi format dan ukuran file, serta antarmuka responsif tanpa kebutuhan login. Setiap pengaduan yang berhasil dikirimkan juga akan otomatis masuk ke email petugas terkait untuk mempercepat tindak lanjut. Hasil pengujian fungsional menggunakan metode black box menunjukkan seluruh fitur berjalan sesuai spesifikasi, sementara uji beta menghasilkan skor rata-rata 3,43 dan indeks kepuasan sebesar 85,75% yang tergolong Sangat Baik. Temuan ini menunjukkan bahwa sistem mampu menyaring laporan tidak relevan, mempercepat verifikasi, meningkatkan keakuratan data, serta mendukung akses publik melalui perangkat seluler dan desktop.
Comparative Performance of ResNet Architectures for Toraja Carving Image Classification with Data Augmentation Herman; Akbar, Muhammand; Nasir, Haidawati; Herdianti; Azis, Huzain; Hayati, Lilis Nur
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6181

Abstract

The complexity of the motifs and large number of different patterns make the classification of Toraja carvings challenging. The objective of this study is to develop a Convolutional Neural Network automatic classification model using a comparative analysis of the performance of three ResNet architectures. Data augmentation techniques were used to enrich the diversity of the training samples and improve the robustness of the model. The experimental results showed that ResNet101V2 had the highest validation accuracy, which was greater than 97%, followed by ResNet50V2 with more than 96%, and finally, ResNet152V2 with more than 94.74%. These test results indicate that the ResNet101V2 architecture has a better classification performance for complex motifs, with a good balance between precision and recall. However, the confusion matrix and per-class performance metrics indicated that motifs with high similarity, such as Paqdon-Bolu and Paqtedong, remained challenging. This study demonstrated that deeper CNN architectures and data augmentation techniques are effective in improving the classification accuracy of complex carving patterns. Further research should explore hybrid or advanced augmentation methods to improve the overall robustness and accuracy of the model.
Improving Indonesian Sign Alphabet Recognition for Assistive Learning Robots Using Gamma-Corrected MobileNetV2 Hayati, Lilis Nur; Handayani, Anik Nur; Irianto, Wahyu Sakti Gunawan; Asmara, Rosa Andrie; Indra, Dolly; Damanhuri, Nor Salwa
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13300

Abstract

Sign language recognition plays a critical role in promoting inclusive education, particularly for deaf children in Indonesia. However, many existing systems struggle with real-time performance and sensitivity to lighting variations, limiting their applicability in real-world settings. This study addresses these issues by optimizing a BISINDO (Bahasa Isyarat Indonesia) alphabet recognition system using the SSD MobileNetV2 architecture, enhanced with gamma correction as a luminance normalization technique. The research contribution is the integration of gamma correction preprocessing with SSD MobileNetV2, tailored for BISINDO and implemented on a low-cost assistive robot platform. This approach aims to improve robustness under diverse lighting conditions while maintaining real-time capability without the use of specialized sensors or wearables. The proposed method involves data collection, image augmentation, gamma correction (γ = 1.2, 1.5, and 2.0), and training using the SSD MobileNetV2 FPNLite 320x320 model. The dataset consists of 1,820 original images expanded to 5,096 via augmentation, with 26 BISINDO alphabet classes. The system was evaluated under indoor and outdoor conditions. Experimental results showed significant improvements with gamma correction. Indoor accuracy increased from 94.47% to 97.33%, precision from 91.30% to 95.23%, and recall from 97.87% to 99.57%. Outdoor accuracy improved from 93.80% to 97.30%, with precision rising from 90.33% to 94.73%, and recall reaching 100%. In conclusion, the proposed system offers a reliable, real-time solution for BISINDO recognition in low-resource educational environments. Future work includes the recognition of two-handed gestures and integration with natural language processing for enhanced contextual understanding.
Pelatihan Pembuatan Probiotik untuk Meningkatkan Kesehatan dan Produktifitas Ternak Ayam Nurhayati, Lilis; Dewantoro, Albertus Daru
Abditeknika Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Oktober
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v5i2.9314

Abstract

Produktivitas peternakan ayam memiliki peran penting dalam pemenuhan kebutuhan protein hewani masyarakat. Namun, peternak sering menghadapi tantangan seperti penyakit ternak, fluktuasi harga pakan, dan biaya operasional yang tinggi. Penggunaan probiotik sebagai suplemen pakan telah terbukti dapat meningkatkan kesehatan dan produktivitas ayam dengan memperbaiki keseimbangan mikroba usus, meningkatkan efisiensi konversi pakan, serta memperkuat sistem imun. Kegiatan pengabdian ini bertujuan untuk menyelenggarakan pelatihan kepada peternak ayam di Desa Balongbendo Sidoarjo, mengenai pembuatan dan penerapan probiotik berbasis bahan lokal yang murah dan mudah didapatkan. Metode pelaksanaan meliputi sosialisasi, demonstrasi, praktik pembuatan probiotik, serta monitoring dan evaluasi penerapannya dalam budidaya ayam. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan peternak dalam membuat dan menggunakan probiotik, serta adanya dampak positif terhadap kesehatan dan pertumbuhan ayam. Pelatihan ini diharapkan dapat meningkatkan efisiensi produksi ternak ayam secara berkelanjutan serta mendukung ketahanan pangan dan kesejahteraan ekonomi masyarakat setempat. Chicken farming is important for fulfilling people's need for animal protein. However, farmers often face challenges such as livestock diseases, fluctuating feed prices, and high operational costs. Using probiotics as a feed supplement has been proven to improve chicken health and productivity. Probiotics do this by balancing gut microbes, increasing feed conversion efficiency, and strengthening the immune system. This service activity aims to provide Balongbendo Village chicken farmers in Sidoarjo with training on the production and application of probiotics made from cheap, locally available ingredients. The implementation method includes socialization, demonstrations, and hands-on practice making probiotics, as well as monitoring and evaluating their application in chicken farming. Results showed increased farmer understanding and skills in probiotic production and use, as well as positive impacts on chicken health and growth. This training is expected to increase the sustainable efficiency of chicken production and support the food security and economic welfare of the local community.
Co-Authors A?ayunnisa, Nurul Abdi, Muhammad Alim Abdul Wahab Abdullah, Syahrul Mubarak Achmad Suyudi Amiruddin Agung, Riski Dewa Aji, Fery Setyo Akbar, Muhammand Ali Munawir Amelia, Ayu Amir, Nur Hikmah Amrin, Fery Andriawan Andi Rizaldi Pratama Andika Syaputra Andrian, David Anik Nur Handayani Ansari Ansari As'ad, Ihwana Asdar Djamereng Astuti, Wistiani Atmajaya, Dedy Ayu Aksari AZUZ, FAIDAH Bellanov, Agrienta Bora, Leni J Cahya Wulandari, Lusi Mei Damanhuri, Nor Salwa Damayanti, Florencia Agatha Daris, Mega Asfirawati Darwis, Herdianti Dewantoro, Albertus Daru Dewi Pancawati Novalita, Dewi Pancawati Dewi Widyawati Dian Dian Dimas, Ravael Djamereng, Asdar Dolly Indra Dwi Nur Halizah Elvira Siruna Fadly Achmad Faradibah, Amaliah Fattah, Farniwati Febriyanti, Rina Fery Andriawan Amrin Fery Setyo Aji Fikar, Sul Firmiaty, Sri Fitriyani Umar Halimahtul Wildan Haris, Najwan Firdaus Harjuna, Muhammad Harlinda Lahuddin Harun, Makmur Hatta, Andi Muhammad Iqra Rezky Hazjuang, Muhammad Fatwa Herdianti Darwis Herdianti Herdianti Herman Herman Herman Hermany, Nurul Inayah Huda, Besse Nurul Indra, doly Irawati - Irawati Irawati Irawati Irawati Irawati Irja, Mulianty Cipta Irwan Ardyansah Irwan Irwan Ismail, Wawan Iwanto, Agustinus jabir, sitti rahmah Jeremy, Jason Jihan Fatihah Ismiralda Karim Abdullah, Karim Kharawan, Athifah Arsa Kononis, Elisabet Priska Arkadewi Kristiani, Poppy Marselina Lasman Parulian Purba Lokapitasari Belluano, Poetri Lestari Lukman Syafie Magfirah, Magfirah Manga, Abdul Rachman Massa, Paschal Nicollas Dominggo Mude, Muh. Aliyazid Muh Alim Abdi Muhammad Agus Muljanto Muhammad Alim Abdi Muhammad Alwi Muhammad Arif Muhammad Bayu Rahmat Muhammad Dzuljalali Wal Ikram Muhammad Fadhli Ardhi Indrani Muhammad Firdaus Banjar Muhammad Ikhsan Muhammad Ikhsan Supriyadi Muhammad Nazar Alfath Muhammad Rezki Mukarramah, Rifqatul Munawir Munawir Munawir Nasir Hamzah Munawir, Ali Nadya Salsabilah Naqiyah, Ainun Nasir, Haidawati Nathanael, Randy Abednego Nia Kurniati Novianti, Nabila Nugroho, Afifah Khairunnisa Nurfadillah Said Nurlinda Nurlinda Nurul Kholifah Yulinda Nurul Rismayanti Purba, Lasman Parulian Purnawansyah Purnawansyah Purnawansyah R, M Yusuf Rafael, Ivan Rahbiah, Sitti Ramadhan, Wahyu Hidayat Ramdan Satra Ratnawaty, Latifah Resky Anugrah Rezky Anugrah Rezky Anugrah Ridho Anugrah Albanjari Rini Andari, Rini Risti Amelia Rosa Andrie Asmara Sahelangi, Milly Maria Salim, Yulita Salmat, Surya Mudti Saripah Fitriani Satma, Satma Setia Budi, Muh Arif Siswahyudianto Situju, Nurwaini Sri Hartini Sugiarti Sugiarti Sugiarti Sugiarti, Sugiarti Sul Fikar Sulfikar Sulfikar Surachmad, Winarto Surya Mudti Salmat Syafie, Lukman Syahrul Bone Syam, Muhammad Farhan Tenripada, A Ulfah Ulhaq, Muhammad Dhiya Umar Mansyur Umniah Umniah Valentino, Teofilus Veithzal Rivai Zainal Wa Ode Tanti Wahyu Sakti Gunawan Irianto Wahyudi, Yasyfa Xena Arleyda Wal Ikram, Muhammad Dzuljalali Wibowo, Nanang Roni Widari, Nyoman Sri Widyawati, Dewi Winarto Surachmad Wisti Astuti Wulan Purnama Sari Yulita Salim Yundari, Yundari